The Multiphase Optimization Strategy for Engineering Effective Tobacco Use Interventions
Open accessAbstract
The multiphase optimization strategy (MOST) is a new methodological approach for building, optimizing, and evaluating multicomponent interventions. Conceptually rooted in engineering, MOST emphasizes efficiency and careful management of resources to move intervention science forward steadily and incrementally. MOST can be used to guide the evaluation of research evidence, develop an optimal intervention (the best set of intervention components), and enhance the translation of research findings, particularly type II translation. This article uses an ongoing study to illustrate the application of MOST in the evaluation of diverse intervention components derived from the phase-based framework reviewed in the companion article by Baker et al. (Ann Behav Med, in press, 2011). The article also discusses considerations, challenges, and potential benefits associated with using MOST and similar principled approaches to improving intervention efficacy, effectiveness, and cost-effectiveness. The applicability of this methodology may extend beyond smoking cessation to the development of behavioral interventions for other chronic health challenges.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 54 cited sources checked · 0 supported · 0 flagged
- Findingown data
A complete factorial experiment with six two-level factors would require N=512 subjects.
“Table 2 shows that a factorial experiment examining the six intervention components of interest here would require only N=512 subjects, which is less than 20 percent of what is required by the individual experiments approach and less than 30 percent of what is required by the comparative treatment approach.”
Quote in the paperSubstantial claim - Findingreasoning
For six two-level factors, a factorial experiment needs 64 experimental conditions.
“Table 2 shows that a factorial experiment with six two-level factors requires 64 experimental conditions (i.e., unique combinations of factors for a group of subjects).”
Quote in the paperSubstantial claim - Findingreasoning
The individual experiments approach would need six separate two-condition experiments, each with N=512, totaling N=3,072.
“To maintain power each experiment would require N=512, for a total required sample size of N=3,072 across the six experiments.”
Quote in the paperSubstantial claim - Findingreasoning
The comparative treatment design would need seven experimental conditions and N=1,792 subjects to keep the same power as six separate experiments.
“Thus the comparative treatment approach requires only seven experimental conditions, as opposed to a total of 12 conditions required by the individual experiments approach. To maintain the same level of power as conducting six separate experiments, the comparative treatment experiment would require N=1,792 subjects.”
Quote in the paperSubstantial claim - Findingown data
In our research, even the higher levels of phone and in-person cessation phase counseling examined are relatively brief and involve only a few contacts.
“For instance, in our research, as described above, even the higher levels of phone and in-person cessation phase counseling examined are relatively brief and involve only a few contacts.”
Quote in the paperSubstantial claim
- Interpretationreasoning
A behavioral intervention with a statistically significant effect may or may not have reached its maximum public health impact.
“Similarly, a statistically significant behavioral intervention may or may not have achieved its maximum public health impact.”
Quote in the paperSubstantial claim - Premisecitation
Translation research is relatively uncommon.
“Despite its importance, such translation research is relatively rare (6–8), perhaps because using current approaches translation can be arduous and slow, sometimes taking 15 to 20 years (9, 10).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [6] Hollis JF, Bills R, Whitlock E, Stevens VJ, Mullooly J, Lichtenstein E. Implementing tobacco interventions in the real world of managed care. Tob Control. 2000;9(Suppl 1):I18–124. source
Not checked in the free run.
- cites [7] Hung DY, Shelley DR. Multilevel analysis of the Chronic Care Model and 5A services for treating tobacco use in urban primary care clinics. Health Serv Res. 2008;44:103–27. source
Not checked in the free run.
- cites [8] Kottke TE, Solberg LI, Brekke ML, Cabrera A, Marquez MA. Delivery rates for preventive services in 44 Midwestern clinics. Mayo Clin Proc. 1997;72(6):515–23. source
Not checked in the free run.
- Interpretationown data
Statistical significance and maximum public health impact are separate and independent ideas.
“Statistical significance and maximum public health impact are distinct and independent concepts, as Table 1 shows.”
Quote in the paperSubstantial claim - Premisecitation
MOST draws on engineering and related fields and adapts those ideas to behavioral intervention science.
“Based on ideas drawn from engineering and related fields and adapted to behavioral intervention science, MOST is a principled and comprehensive framework for optimizing and evaluating behavioral interventions.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [4] Collins LM, Murphy SA, Nair VN, Strecher VJ. A strategy for optimizing and evaluating behavioral interventions. Ann Behav Med. 2005;30(1):65–73. source
Not checked in the free run.
- cites [5] Collins LM, Murphy SA, Strecher V. The Multiphase Optimization Strategy (MOST) and the Sequential Multiple Assignment Randomized Trial (SMART): New methods for more potent eHealth interventions. Am J Prev Med. 2007;32(5 Suppl):S112–8. source
Not checked in the free run.
- Interpretationreasoning
The phase-based framework can be combined with models and data to identify challenges, opportunities, or intervention targets for the four cessation phases.
“For instance, associative learning models, pharmacologic and motivational models of dependence, or social learning models can be incorporated with data on dependence and the process of smoking cessation to identify challenges, opportunities, or intervention targets for the four phases.”
Quote in the paperSubstantial claim - Premisecitation
With current approaches, translation can be difficult and slow, sometimes taking 15 to 20 years.
“Despite its importance, such translation research is relatively rare (6–8), perhaps because using current approaches translation can be arduous and slow, sometimes taking 15 to 20 years (9, 10).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [9] Glasgow RE, Emmons KM. How can we increase translation of research into practice? Types of evidence needed. Annu Rev Public Health. 2007;28:413–33. source
Not checked in the free run.
- cites [10] Glasgow RE, Lichtenstein E, Marcus AC. Why don't we see more translation of health promotion research to practice? Rethinking the efficacy-to-effectiveness transition. Am J Public Health. 2003;93(8):1261–7. source
Not checked in the free run.
- Premisereasoning
In factorial experiments, main effects and interactions are estimated based on combinations of experimental conditions.
“In factorial experiments, main effects and interactions are estimated based on combinations of experimental conditions.”
Quote in the paperSubstantial claim - Premisereasoning
Aliasing is an inevitable result of removing conditions from a complete factorial experiment.
“This phenomenon, known as aliasing (12), is an inevitable result of removing conditions from a complete factorial experiment.”
Quote in the paperNot a substantial claim - Interpretationreasoning
In factorial experiments, adequate power can readily be achieved even when per-condition sample size is very small, as long as overall N is sufficiently large.
“Thus, in factorial experiments, adequate power can readily be achieved even when the per-condition sample size is very small, as long as the overall N is sufficiently large.”
Quote in the paperSubstantial claim - Interpretationreasoning
The large number of experimental conditions in a six-factor factorial creates a significant implementation challenge.
“This large number of different experimental conditions presents a significant implementation challenge.”
Quote in the paperSubstantial claim - Interpretationreasoning
Theory suggests many intervention components that could be combined into hundreds or thousands of plausible smoking cessation intervention packages.
“The many intervention components suggested by theory could be combined to form hundreds or even thousands of plausible alternative smoking cessation intervention packages.”
Quote in the paperSubstantial claim - Study design and conductreasoning
Over 80 percent of participants in the chosen design will receive at least two components set to the higher level.
“and over 80 percent of participants will receive at least two components set to the higher level.”
Quote in the paperNot a substantial claim - Interpretationnone given
Based on experimental results, the investigator knows precisely which components performed satisfactorily and which did not.
“Based on the experimental results, the investigator knows precisely which components performed satisfactorily and which did not.”
Quote in the paperSubstantial claim - Premisecitation
In engineering, research designs are selected by prioritizing the most important information and directing resources accordingly.
“In engineering, research designs are chosen by prioritizing which information is most important to gain, and then targeting resources accordingly (12).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [12] Wu CF, Hamada M. Experiments: Planning, analysis, and parameter design optimization. New York: Wiley; 2000.
Not checked in the free run.
- Premisereasoning
Each of these comparisons involves all 512 subjects.
“Each of these comparisons involves all 512 subjects.”
Quote in the paperSubstantial claim - Premisereasoning
Each effect in a factorial experiment is based on all conditions, and therefore on all subjects.
“Different effects are based on different combinations of experimental conditions, but each effect is based on all of the conditions, and therefore on all of the subjects.”
Quote in the paperSubstantial claim - Study design and conductnone given
Every condition in the chosen design involves giving the participant at least one component at the higher level.
“It is also worth noting that every condition in this design involves giving the participant at least one component of the intervention set to the higher level”
Quote in the paperSubstantial claim - Interpretationreasoning
The comparative treatment design would have much less statistical power than the corresponding main effect based on the factorial experiment.
“Thus it would be associated with much less statistical power than the corresponding main effect based on the factorial experiment.”
Quote in the paperSubstantial claim - Study design and conductreasoning
With N=512, there will be 16 subjects assigned to each of the 32 experimental conditions.
“With N=512, there will be 16 subjects assigned to each of the 32 experimental conditions in this factorial experiment.”
Quote in the paperSubstantial claim - Interpretationown data
As the number of factors in a factorial experiment grows, the number of experimental conditions needed grows rapidly.
“However, the efficiency of factorial experiments is a two-edged sword: on one hand, factorial experiments permit tests of multiple factors; on the other, as the number of factors increases, the number of experimental conditions required increases rapidly.”
Quote in the paperSubstantial claim - Study design and conductreasoning
In the chosen design, target effects are aliased with effects expected to be negligible.
“In every case, the target effects are aliased with effects that are expected to be negligible.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Using fractional factorial designs requires assuming that most higher-order interactions (three or more factors) are in Category B (likely negligible).
- Rests on an assumption: The remaining three-way interactions and all interactions involving four or more factors are likely negligible.
- Premisecitation
Engineering emphasizes randomized experimentation because such designs usually yield the most reliable scientific information most efficiently.
“There is an emphasis on randomized experimentation, because such designs produce the most reliable scientific information, usually most efficiently (e.g. (13)).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [13] Shadish WR, Cook TD, Campbell DT. Experimental and quasi-experimental designs for generalized causal inference. Boston: Houghton-Mifflin; 2002.
Not checked in the free run.
- Premisereasoning
For six factors, an eight-condition fractional factorial design involves more aliasing than a 32-condition fractional factorial design.
“In other words, when six factors are to be investigated, a fractional factorial design with eight experimental conditions will involve more aliasing than a corresponding fractional factorial design with 32 experimental conditions.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Returning to the beginning of MOST after a failed beta would avoid devoting resources to a full-scale RCT of an intervention unlikely to be successful.
“It is important to note that this would avoid devoting resources to a full-scale RCT evaluation of a smoking cessation intervention that is unlikely to be successful.”
Quote in the paperSubstantial claim - Study design and conductreasoning
In the chosen design, the three-way interaction in Category A is aliased with another three-way interaction.
“The three-way interaction in Category A is aliased with another three-way interaction.”
Quote in the paperNot a substantial claim- Rests on an assumption: The remaining three-way interactions and all interactions involving four or more factors are likely negligible.
- Study design and conductreasoning
The two conditions that would make up a traditional RCT are absent from the chosen design.
“Thus the two conditions that would make up a traditional RCT are absent.”
Quote in the paperSubstantial claim - Study design and conductreasoning
In the chosen design, each effect is aliased with one other effect.
“In this design, each effect is aliased with one other effect.”
Quote in the paperNot a substantial claim - Study design and conductown data
With N=512 and allowance for 5 percent attrition, the smallest detectable effect size had power at least .9 using number of days abstinent during the two-week post-quit period as a short-term outcome.
“The smallest effect size could be detected with power ≥ .9 with N=512 (this allows for 5 percent attrition), using number of days abstinent during the two-week post-quit period as a short-term outcome.”
Quote in the paperSubstantial claim - Interpretationreasoning
If a target effect is aliased with one or more negligible effects, the resulting estimate will be primarily attributable to the target effect.
“If a target effect is aliased with one or more other effects that are negligible, the resulting estimate will be primarily attributable to the target effect.”
Quote in the paperSubstantial claim - Interpretationreasoning
Smoking cessation intervention scientists currently lack clear methodological guidance for optimization research.
“Because the methods used in intervention science today have been developed for purposes of intervention evaluation rather than optimization, smoking cessation intervention scientists currently do not have clear methodological guidelines about how to conduct optimization research.”
Quote in the paperSubstantial claim - Interpretationreasoning
One important limiting factor for completing a full cycle of MOST within five years is how long it takes to obtain results in the confirmation step.
“One important limiting factor is how long it will take to obtain results in the confirmation step (Step 5).”
Quote in the paperNot a substantial claim - Premisecitation
Short-term outcomes have been demonstrated to be highly correlated with six-month point prevalence abstinence.
“Short-term outcomes have been demonstrated to be highly correlated with six-month point prevalence abstinence (e.g., (56)).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [56] Kenford SL, Fiore MC, Jorenby DE, Smith SS, Wetter D, Baker TB. Predicting smoking cessation. Who will quit with and without the nicotine patch. JAMA. 1994;271(8):589–94. source
Not checked in the free run.
- Interpretationreasoning
MOST will contribute to the building of a coherent cumulative base of scientific knowledge about smoking cessation.
“Fourth, MOST will contribute to the building of a coherent cumulative base of scientific knowledge about smoking cessation.”
Quote in the paperNot a substantial claim - Premisecitation
It is possible to obtain funding for MOST and similar approaches from the National Institutes of Health.
“As our project and a few others (e.g. (55)) have demonstrated, it is possible to obtain funding for MOST and similar approaches from the National Institutes of Health.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [55] Strecher VJ, McClure J, Alexander G, et al. Web-based smoking cessation components and tailoring depth: Results of a randomized trial. Am J Prev Med. 2008;34:373–81. source
Not checked in the free run.
- Premisenone given
Mediation analyses based on standard RCTs are limited to investigating mediation of the treatment effect as a whole.
“In contrast, mediation analyses based on standard RCT’s are limited to investigating mediation of the treatment effect as a whole.”
Quote in the paperSubstantial claim - Premisecitation
Burden and complexity is a leading cause of poor translation.
“Investigators using MOST to optimize the effectiveness of interventions may wish to include intervention components of varying resource intensity because burden and complexity is a leading cause of poor translation (6).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [6] Hollis JF, Bills R, Whitlock E, Stevens VJ, Mullooly J, Lichtenstein E. Implementing tobacco interventions in the real world of managed care. Tob Control. 2000;9(Suppl 1):I18–124. source
Not checked in the free run.
- Premisecitation
There are pervasive and enduring misconceptions about experimental design that may lead some grant reviewers to assume that examining individual intervention components with acceptable statistical power is not feasible.
“However, there are some pervasive and enduring misconceptions about experimental design (discussion of these may be found in (33) and (35)) that may lead some reviewers of grant proposals to make the unwarranted assumption that examination of individual intervention components with acceptable statistical power is not feasible.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [33] Collins LM, Dziak JJ, Li R. Design of experiments with multiple independent variables: A resource management perspective on complete and reduced factorial designs. Psychol Methods. 2009;14(3):202–24. source
Not checked in the free run.
- cites [35] Chakraborty H. The design and analysis aspects of cluster randomized trials. In: Biswas A, Datta S, Fine JP, Segal MR, eds. Statistical Advances in the Biomedical Sciences. Hoboken: Wiley; 2008:67–80.
Not checked in the free run.
- Interpretationreasoning
Adoption of MOST can be expected to result in demonstrable incremental and cumulative progress.
“Thus, adoption of this approach can be expected to result in demonstrable incremental and cumulative progress.”
Quote in the paperNot a substantial claim - Study design and conductreasoning
A fractional factorial design can estimate the main effect of each intervention component and selected interactions between components.
“Like a complete factorial design, the fractional factorial design enabled us to estimate the main effect of each intervention component as well as selected interactions between components.”
Quote in the paperSubstantial claim - Interpretationreasoning
It would not be possible to determine the best design for the refinement step without first having results from the experimentation step.
“For example, it would not be possible to determine the best design for the refinement step (Step 3B) without first having the results from the experimentation step (Step 3A).”
Quote in the paperSubstantial claim - Interpretationreasoning
If an intervention is designed to act directly on mediators, measures of the mediators may provide the best short-term outcomes for making decisions about components and levels.
“If the intervention is designed to act directly on mediators, which in turn affect the outcome, measures of the mediators may provide the best short-term outcomes for purposes of making decisions about components and component levels.”
Quote in the paperNot a substantial claim - Premisecitation
Intervention effectiveness is an important driver of intervention adoption and support.
“Because intervention effectiveness is an important driver of intervention adoption and support, it is important that smoking cessation intervention optimization using MOST identifies intervention components and levels that deliver significant benefit in real-world healthcare settings with diverse real-world populations (10, 44).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [10] Glasgow RE, Lichtenstein E, Marcus AC. Why don't we see more translation of health promotion research to practice? Rethinking the efficacy-to-effectiveness transition. Am J Public Health. 2003;93(8):1261–7. source
Not checked in the free run.
- cites [44] Glasgow RE, Klesges LM, Dzewaltowski DA, Bull SS, Estabrooks P. The future of health behavior change research: What is needed to improve translation of research into health promotion practice? Ann Behav Med. 2004;27(1):3–12. source
Not checked in the free run.
- Premisecitation
The Gordian Knot of clinical tobacco control is an inability to achieve more consistent delivery of evidence-based tobacco cessation interventions by real-world healthcare personnel.
“The Gordian Knot of clinical tobacco control is an inability to achieve more consistent delivery of evidence-based tobacco cessation interventions by real-world healthcare personnel (6, 49–52).”
Quote in the paperSubstantial claim0 of 5 sources checked- cites [6] Hollis JF, Bills R, Whitlock E, Stevens VJ, Mullooly J, Lichtenstein E. Implementing tobacco interventions in the real world of managed care. Tob Control. 2000;9(Suppl 1):I18–124. source
Not checked in the free run.
- cites [49] Friend K, Levy DT. Smoking treatment interventions and policies to promote their use: A critical review. Nicotine Tob Res. 2001;3(4):299–310. source
Not checked in the free run.
- cites [50] Evaluation resources. Available at: www.dhs.ca.gov/tobacco . 2000.
Not checked in the free run.
- cites [51] Centers for Disease Control and Prevention. Use of FDA-approved pharmacological treatments for tobacco dependence—United States, 1984–1998. MMWR. 2000;49:665–8.
Not checked in the free run.
- cites [52] Rothemich SF, Woolf SH, Johnson RE, et al. Effect on cessation counseling of documenting smoking status as a routine vital sign: An ACORN study. Ann Fam Med. 2008;6(1):60–8. source
Not checked in the free run.
- Premisereasoning
A design efficient for one research question may be inefficient for another.
“Moreover, a design that is efficient for addressing one research question may be inefficient for addressing a different research question.”
Quote in the paperNot a substantial claim - Premisereasoning
When designs are used that tease out the effects of several individual intervention components simultaneously, it becomes possible to perform analyses to investigate whether a specific intervention component is mediated by a particular variable.
“In addition, when designs are used that tease out the effects of several individual intervention components simultaneously, it becomes possible to perform analyses to investigate whether a specific intervention component is mediated by a particular variable.”
Quote in the paperSubstantial claim
- May combine two claims. 33
- Classified as probably not a substantial claim. 78
May combine two claims.
Findingown dataA factorial experiment with six components uses less than 20 percent of the sample size of individual experiments and less than 30 percent of the comparative treatment approach.
“Table 2 shows that a factorial experiment examining the six intervention components of interest here would require only N=512 subjects, which is less than 20 percent of what is required by the individual experiments approach and less than 30 percent of what is required by the comparative treatment approach.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
InterpretationreasoningIn intervention science, optimization is a process rather than a final endpoint.
“Thus, in intervention science, optimization can be considered a process rather than an end goal per se.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenMOST may apply beyond smoking cessation to behavioral interventions for other chronic health problems.
“The applicability of this methodology may extend beyond smoking cessation to the development of behavioral interventions for other chronic health challenges.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Interpretationnone givenMOST can help evaluate research evidence, build an optimal intervention, and improve translation, especially Type II translation.
“MOST can be used to guide the evaluation of research evidence, develop an optimal intervention (the best set of intervention components), and enhance the translation of research findings, particularly Type II translation.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
PremisecitationBaker et al.'s framework divides cessation into four phases: motivation, precessation, cessation, and maintenance.
“Briefly, the Baker et al. framework partitions the cessation process into four discrete phases based on current theories of cessation and empirical data: (a) motivation, (b) precessation, (c) cessation, and (d) maintenance.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Baker et al. (1) Baker TB, Mermelstein R, Collins LM, et al. New methods for tobacco dependence treatment research. Ann Behav Med. 2011; in press. source
Not checked in the free run.
Classified as probably not a substantial claim.
Interpretationnone givenMOST stresses efficiency and careful resource management to advance intervention science steadily and incrementally.
“Conceptually rooted in engineering, MOST emphasizes efficiency and careful management of resources to move intervention science forward steadily and incrementally.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn smoking cessation, it is common to combine behavioral and pharmacotherapy treatments into multicomponent interventions.
“Multicomponent interventions that combine various behavioral and pharmacotherapy treatments are common in smoking cessation (e.g. (2, 3)).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [2] Fiore MC, Bailey WC, Cohen SJ. Treating tobacco use and dependence: Clinical practice guideline. Rockville: U.S. Department of Health and Human Services, U.S. Public Health Service; 2000.
Not checked in the free run.
- cites [3] Fiore MC, Jaen CR, Baker TB, et al. Treating tobacco use and dependence: 2008 update. Rockville: U.S. Department of Health and Human Services, U.S. Public Health Service; 2008.
Not checked in the free run.
Probably not a substantial claim: may not pass S4 (based). May combine two claims.
InterpretationreasoningMOST can make Type II translational research more efficient and more common.
“We see MOST as a means of making Type II translational research more efficient and, we hope, more common.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningComponents that performed satisfactorily can be retained for future inclusion and generally do not need to be re-examined.
“Any components that performed satisfactorily can be retained for future inclusion in the intervention, and in general do not need to be re-examined in the new experimentation and refinement steps.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationIn manufacturing and product development, theory often suggests many component parts that can be combined into many alternative prototypes.
“In manufacturing and product development, theory often suggests many different component parts or materials that could be used, which could then be combined to form many alternative “draft” versions of the product, or prototypes, that could be built and tested.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [11] Box GEP, Hunter, W.G., & Hunter, J.S. Statistics for experimenters: An introduction to design, data analysis, and model building. New York: Wiley; 1978.
Not checked in the free run.
- cites [12] Wu CF, Hamada M. Experiments: Planning, analysis, and parameter design optimization. New York: Wiley; 2000.
Not checked in the free run.
Classified as probably not a substantial claim.
PremisereasoningThe main effect of precessation counseling is based on comparing the mean of conditions with counseling to the mean of conditions without counseling.
“Similarly, the main effect of precessation counseling will be based on a comparison of the mean of the conditions in which precessation counseling is provided (conditions 1–4, 9–12, 17–20, and 25–28 in Table 4) to the mean of the conditions in which precessation counseling is not provided (conditions 5–8, 13–16, 21–24, and 29–32).”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Interpretationnone givenFactorial experiments allow estimation of interactions between factors.
“Another attractive property of factorial experiments is that they enable estimation of interactions between factors.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationcitationIn individual experiments and comparative treatment designs, interactions among treatment components cannot be estimated, although such interactions exist and may affect results.
“A key limitation to both the individual experiments and comparative treatment approaches is that interactions among treatment components cannot be estimated, even though these interactions remain present (33) and potentially have an impact on the results.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [33] Collins LM, Dziak JJ, Li R. Design of experiments with multiple independent variables: A resource management perspective on complete and reduced factorial designs. Psychol Methods. 2009;14(3):202–24. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisereasoningThe continuous optimization principle says a new research cycle should start as soon as the prior development round ends.
“The second principle, the continuous optimization principle, states that a new cycle of research should begin as soon as the previous round of development research is concluded, in order to build on previous work and make further incremental improvements.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable). May combine two claims.
Interpretationnone givenThe experimental design chosen should separate component effects and be highly efficient.
“In general, the experimental design chosen should possess two signature characteristics. First, it must separate component effects, enabling estimation of the contribution of each component. Second, it must husband time and research resources—in other words, it must be highly efficient.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningA phased experimental approach will speed progress in building better smoking cessation interventions while making the most of research resources.
“We believe that just as it has hastened product development in other fields, a phased experimental approach will hasten progress in building better smoking cessation interventions, while making the most of research resources.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationAccording to these authors, successful translation of smoking cessation interventions depends on three criteria: ease of delivery, effectiveness in real-world settings, and compatibility and integration with real-world delivery systems.
“According to these authors successful translation of smoking cessation interventions depends upon three criteria: (a) ease of delivery; (b) effectiveness in real-world settings; and (c) compatibility and integration with real-world delivery systems.”
Quote in the paperSubstantial claim0 of 5 sources checked- cites [3] Fiore MC, Jaen CR, Baker TB, et al. Treating tobacco use and dependence: 2008 update. Rockville: U.S. Department of Health and Human Services, U.S. Public Health Service; 2008.
Not checked in the free run.
- cites [40] Carroll KM, Rounsaville BJ. Bridging the gap: A hybrid model to link efficacy and effectiveness research in substance abuse treatment. Psychiatr Serv. 2003;54(3):333–9. source
Not checked in the free run.
- cites [41] Carroll KM, Rounsaville BJ. A vision of the next generation of behavioral therapies research in the addictions. Addiction. 2007;102(6):850–62; discussion 63–9. source
Not checked in the free run.
- cites [42] Hopkins DP, Briss PA, Ricard CJ, et al. Reviews of evidence regarding interventions to reduce tobacco use and exposure to environmental tobacco smoke. Am J Prev Med. 2001;20(2 Suppl):16–66. source
Not checked in the free run.
- cites [43] Hopkins DP, Husten CG, Fielding JE, Rosenquist JN, Westphal LL. Evidence reviews and recommendations on interventions to reduce tobacco use and exposure to environmental tobacco smoke: A summary of selected guidelines. Am J Prev Med. 2001;20(2 Suppl):67–87. source
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable).
Premisenone givenThe resource management principle holds that research resources should be managed strategically to gain the most and most reliable information and to advance science fastest.
“According to the first, the resource management principle, available research resources must be managed strategically so as to gain the most information and the most reliable information, and thereby move science forward fastest.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisereasoningA programmatic and sequenced experimental approach lets product development progress faster while conserving research resources.
“Taking a programmatic and sequenced experimental approach enables product development to make faster progress while husbanding research resources.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [11] Box GEP, Hunter, W.G., & Hunter, J.S. Statistics for experimenters: An introduction to design, data analysis, and model building. New York: Wiley; 1978.
Not checked in the free run.
- cites [12] Wu CF, Hamada M. Experiments: Planning, analysis, and parameter design optimization. New York: Wiley; 2000.
Not checked in the free run.
May combine two claims.
Study design and conductreasoningIn the chosen design, each main effect is aliased with a five-way interaction, and each two-way interaction is aliased with a four-way interaction.
“Each main effect is aliased with a five-way interaction, and each two-way interaction is aliased with a four-way interaction.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Using fractional factorial designs requires assuming that most higher-order interactions (three or more factors) are in Category B (likely negligible).
Classified as probably not a substantial claim.
InterpretationreasoningThe research described here is meant to produce unique information: estimates of individual component effects in a real-world effectiveness setting.
“It is important to recognize that although these intervention components have been analyzed previously in clinical trials, the research described here is intended to produce unique information on these components, i.e., estimates of individual component effects in a real-world effectiveness setting.”
Quote in the paperSubstantial claim- Rests on an assumption: Prior research does not directly provide estimates of individual component effects in a real-world effectiveness setting.
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing). May combine two claims.
InterpretationreasoningReturning to the beginning represents a continuation of incremental progress, and previously completed work provides a foundation for further progress.
“This return to the beginning represents a continuation of incremental progress toward a successful intervention. The previously completed work is not wasted; on the contrary, it provides a firm foundation for further progress.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premiseown dataA fractional factorial experiment with six factors requires between 8 and 32 experimental conditions depending on the design chosen.
“Table 2 shows that depending on the design chosen, a fractional factorial experiment with six factors requires anywhere from eight to 32 experimental conditions.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisenone givenPrevious steps of MOST are aimed at selecting intervention components that are feasible, effective, and cost-effective.
“The previous steps of MOST have been aimed at selection of intervention components that are feasible, effective, and cost-effective.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationSeveral authors have suggested that translation of research findings into real-world interventions could be hastened by a strategy that builds translation potential into initial treatment evaluation.
“Several authors (e.g., (3, 40–43)) have suggested that the process of translating research findings into real-world interventions could be hastened through the use of a strategy that builds translation potential into initial treatment evaluation.”
Quote in the paperSubstantial claim0 of 5 sources checked- cites [3] Fiore MC, Jaen CR, Baker TB, et al. Treating tobacco use and dependence: 2008 update. Rockville: U.S. Department of Health and Human Services, U.S. Public Health Service; 2008.
Not checked in the free run.
- cites [40] Carroll KM, Rounsaville BJ. Bridging the gap: A hybrid model to link efficacy and effectiveness research in substance abuse treatment. Psychiatr Serv. 2003;54(3):333–9. source
Not checked in the free run.
- cites [41] Carroll KM, Rounsaville BJ. A vision of the next generation of behavioral therapies research in the addictions. Addiction. 2007;102(6):850–62; discussion 63–9. source
Not checked in the free run.
- cites [42] Hopkins DP, Briss PA, Ricard CJ, et al. Reviews of evidence regarding interventions to reduce tobacco use and exposure to environmental tobacco smoke. Am J Prev Med. 2001;20(2 Suppl):16–66. source
Not checked in the free run.
- cites [43] Hopkins DP, Husten CG, Fielding JE, Rosenquist JN, Westphal LL. Evidence reviews and recommendations on interventions to reduce tobacco use and exposure to environmental tobacco smoke: A summary of selected guidelines. Am J Prev Med. 2001;20(2 Suppl):67–87. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisenone givenUsually selected two-factor interactions, and for some studies a three-factor interaction, are placed in Category A.
“Usually, selected two-factor interactions, and for some studies a three-factor interaction, are placed in Category A as well.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisereasoningThe centralized database is cumulative, so as MOST is repeated, more data are acquired, archived, and made available for analysis.
“This database is cumulative, so that as the MOST procedure is repeated (as the continuous optimization principle suggests), more data are acquired, archived, and made available for analysis.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone givenIn every fractional factorial experiment, all main effects are primary targets and are placed in Category A.
“It is a given in every fractional factorial experiment that all the main effects are primary targets of the experiment and are therefore in Category A.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisenone givenFractional factorial designs have the same statistical power as complete factorial experiments and require the same number of subjects.
“These designs have the same statistical power as a complete factorial experiment, and therefore require the same number of subjects.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningMOST uses clinical experience, informal hypotheses, and post-hoc nonexperimental analyses to inform randomized experiments that give definitive answers about each component's performance.
“In contrast, MOST calls for using this kind of information to inform randomized experimentation designed to provide definitive answers about the performance of each component.”
Quote in the paperSubstantial claim- Rests on an assumption: The traditional approach to choosing intervention components and levels relies solely on clinical experience, informal hypotheses, and post-hoc nonexperimental analyses.
May combine two claims.
PremisecitationAliasing is also present in individual experiments and comparative treatment designs; only complete factorial experiments are free of aliasing.
“(Aliasing is also present in individual experiments and comparative treatment designs; see Collins, Dziak and Li (33). Only complete factorial experiments are free of aliasing.)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Collins, Dziak and Li (33) Collins LM, Dziak JJ, Li R. Design of experiments with multiple independent variables: A resource management perspective on complete and reduced factorial designs. Psychol Methods. 2009;14(3):202–24. source
Not checked in the free run.
Classified as probably not a substantial claim.
InterpretationreasoningA comparative treatment design with N=512 would have a control group plus six experimental conditions, roughly 73 subjects per condition.
“By contrast, suppose we had used a comparative treatment design with N=512. This design would have a control group plus six experimental conditions, one corresponding to each intervention component; there would be roughly 73 subjects assigned to each condition.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningThese conditions are expendable because the purpose is to examine the effect of each of the six components, not to evaluate a treatment package as a whole.
“Although it may seem counterintuitive, these conditions are expendable in this design because the purpose is to examine the effect of each of the six components, not to evaluate a treatment package as a whole.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisereasoningThe more economy a fractional factorial design provides, the more aliasing of effects it requires.
“In general, the more economy that is afforded by a fractional factorial design, the more aliasing of effects is required.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationcitationMethods from engineering, manufacturing, and product development can serve as a blueprint for efficient and programmatic smoking cessation research.
“We suggest turning to research methods developed for fields such as engineering, manufacturing, and product development (e.g. (11, 12)) to provide a blueprint for efficient and programmatic smoking cessation research.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [11] Box GEP, Hunter, W.G., & Hunter, J.S. Statistics for experimenters: An introduction to design, data analysis, and model building. New York: Wiley; 1978.
Not checked in the free run.
- cites [12] Wu CF, Hamada M. Experiments: Planning, analysis, and parameter design optimization. New York: Wiley; 2000.
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisereasoningIn fractional factorial designs, certain effects cannot be disentangled from other effects, a phenomenon called aliasing.
“The trade-off presented by fractional factorial designs is that certain effects cannot be disentangled from other effects.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductreasoningThe fractional factorial design in Table 4 does not contain a traditional control condition with all factors at the lower level, nor a full condition with all factors at the higher level.
“Like many fractional factorial designs, it does not contain a traditional control condition in which each factor is set to the lower level. It also does not contain a “full” experimental condition in which each treatment factor is set to the higher level.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone givenIn a two-arm RCT, half the participants are assigned to the control group.
“By contrast, in a two-arm RCT half the participants are assigned to the control group.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisereasoningThe main effect of precessation nicotine patch is based on comparing the mean of conditions with patch to the mean of conditions without patch.
“For example, the main effect of precessation nicotine patch will be based on a comparison of the mean of the conditions in which the patch is given (conditions 1–16 in Table 4) to the mean of the conditions in which the patch is not given (conditions 17–32).”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationThe phase-based framework and dependence theories suggest intervention components and phase-specific outcomes.
“As discussed in the Baker et al.(1) companion paper, the phase-based framework, in concert with dependence theories, not only suggests intervention components, it also suggests the use of phase-specific outcomes.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Baker et al.(1) Baker TB, Mermelstein R, Collins LM, et al. New methods for tobacco dependence treatment research. Ann Behav Med. 2011; in press. source
Not checked in the free run.
May combine two claims.
InterpretationcitationMOST uses the resource management and continuous optimization principles to improve smoking cessation research efficiency and intervention effectiveness and cost-effectiveness.
“MOST (4, 5), which has some conceptual roots in the phased approach to intervention development and evaluation proposed by the United Kingdom’s Medical Research Council (14, 15) applies the resource management and continuous optimization principles to improve the efficiency of smoking cessation research and the effectiveness and cost-effectiveness of smoking cessation interventions.”
Quote in the paperSubstantial claim0 of 4 sources checked- cites [4] Collins LM, Murphy SA, Nair VN, Strecher VJ. A strategy for optimizing and evaluating behavioral interventions. Ann Behav Med. 2005;30(1):65–73. source
Not checked in the free run.
- cites [5] Collins LM, Murphy SA, Strecher V. The Multiphase Optimization Strategy (MOST) and the Sequential Multiple Assignment Randomized Trial (SMART): New methods for more potent eHealth interventions. Am J Prev Med. 2007;32(5 Suppl):S112–8. source
Not checked in the free run.
- cites [14] Campbell MK, Mollison J, Steen N, Grimshaw JM, Eccles M. Analysis of cluster randomized trials in primary care: A practical approach. Fam Pract. 2000;17(2):192–6. source
Not checked in the free run.
- cites [15] Craig P, Dieppe P, Macintyre S, Michie S, Nazareth I, Petticrew M. Developing and evaluating complex interventions: The new Medical Research Council guidance. BMJ. 2008;337:a1655. source
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
InterpretationreasoningThis will facilitate release of the intervention package and its incorporation into regular clinical practice.
“This will facilitate the release of this intervention package and its incorporation into regular clinical practice.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisereasoningBecause any fractional factorial design's aliasing can be readily determined, the investigator can choose strategically among available designs.
“Because any fractional factorial design’s aliasing can be readily determined, the investigator can choose strategically from among the wide variety of available fractional factorial designs.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisereasoningFractional factorial designs require fewer experimental conditions, making them more economical and easier to implement.
“However, they require fewer experimental conditions, and thus are more economical and easier to implement.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
InterpretationreasoningWeighing efficacy or effectiveness against cost can play an important role in selecting intervention components and levels.
“Weighing efficacy or effectiveness against cost can play an important role in selecting intervention components and levels of components.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
PremisereasoningDifferent experimental designs address subtly different research questions.
“Different experimental designs address subtly different research questions.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
PremisereasoningEfficacy and effectiveness research are not mutually exclusive.
“Of course, efficacy and effectiveness research are not mutually exclusive.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Premisenone givenIn some fields it may be possible to measure outcomes of ultimate interest soon after the intervention, whereas in others it may be necessary to wait months or even years.
“As discussed above, in some fields it may be possible to measure outcomes of ultimate interest soon after the intervention, whereas in others it may be necessary to wait months or even years.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
InterpretationreasoningBecause MOST is a principled and systematic approach to improving smoking cessation interventions, it is likely to be the fastest and most direct way to more effective smoking cessation in the long run.
“First, because this is a principled and systematic approach to improving smoking cessation interventions, it is likely to be the fastest and most direct way to more effective smoking cessation in the long run.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningIf research to optimize smoking cessation interventions in real-world contexts is to be successful and yield broadly generalizable effects, the relation between intervention elements and the real-world context must be broadly applicable, feasible, and effective.
“If research to optimize smoking cessation interventions in real-world contexts is to be successful and yield broadly generalizable effects, then the relation between the intervention elements and the real-world context (e.g., a health care program) must be broadly applicable, feasible, and effective.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Premisenone givenA key feature of MOST is that each new intervention produced will have been engineered, and empirically demonstrated, to be an improvement over the previous version.
“A key feature of MOST is that each new intervention produced will have been engineered, and empirically demonstrated, to be an improvement over the previous version.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Premisenone givenMOST provides a straightforward method to test hypotheses about new intervention components or the revision of existing components as they are suggested by emerging new scientific findings, technologies, counseling approaches or pharmaceuticals.
“Second, this approach provides a straightforward method to test hypotheses about new intervention components or the revision of existing components as they are suggested by emerging new scientific findings, technologies, counseling approaches or pharmaceuticals.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningThis may make it impossible for an applicant to be specific about downstream elements of the proposed research.
“This may make it impossible for an applicant to be specific about downstream elements of the proposed research.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
InterpretationcitationFeasibility of system features can be assessed by gathering input from targeted participants, consumers, and providers during intervention and research program development.
“This feasibility can be assessed by gathering input from targeted participants, consumers, and providers during intervention and research program development (44).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [44] Glasgow RE, Klesges LM, Dzewaltowski DA, Bull SS, Estabrooks P. The future of health behavior change research: What is needed to improve translation of research into health promotion practice? Ann Behav Med. 2004;27(1):3–12. source
Not checked in the free run.
Classified as probably not a substantial claim.
PremisereasoningThe efficacy or effectiveness of each intervention component can be viewed in relation to its cost in terms of money, time, logistics, training, or other resources.
“The efficacy or effectiveness of each intervention component can be viewed in relation to its cost in terms of money, length of time required, implementation logistics, amount of training required, or other resources.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationRecent methodological work on adaptive interventions includes development of the SMART Trial and exploration of applying engineering control algorithms to adaptive behavioral interventions.
“Recent methodological work on building and optimizing adaptive interventions has included development of the Sequential Multiple Assignment Randomized Trial (SMART Trial) (58) and exploration of the idea of applying control algorithms from engineering to adaptive behavioral interventions to improve their performance (38, 39).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [58] Murphy SA, Lynch KG, Oslin D, McKay JR, TenHave T. Developing adaptive treatment strategies in substance abuse research. Drug Alcohol Depend. 2007;88 Suppl 2:S24–30. source
Not checked in the free run.
- cites [38] Rivera DE, Pew MD, Collins LM. Using engineering control principles to inform the design of adaptive interventions: A conceptual introduction. Drug Alcohol Depend. 2007;88 Suppl 2:S31–40. source
Not checked in the free run.
- cites [39] Zafra-Cabeza A, Rivera DE, Collins LM, Riado MA, Camacho EF. A risk-based model predictive control approach to adaptive interventions in behavioral health. Proceedings of the 45th IEEE Conference on Decision and Control. 2006:673–8. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningAs long as the resource management principle is followed, MOST can be used to make incremental progress in intervention optimization even with limited resources.
“As long as the resource management principle is followed, MOST can be used to make incremental progress in intervention optimization, even with limited resources.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenCareful planning, well-trained staff, and creative use of computers and the Internet can greatly increase the feasibility of implementing a large number of experimental conditions in field settings.
“Careful planning, well-trained staff, and creative use of computers and the Internet can greatly increase the feasibility of implementing a large number of experimental conditions in field settings.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone givenIn some areas, an RCT will take a long time.
“In some areas, an RCT will take a long time.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningFor applications of MOST involving a large factorial experiment, implementing the experiment in the field may be a challenge.
“For applications of MOST that involve a large factorial experiment, one challenge may be implementing this experiment in the field.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningThe MOST framework offers several benefits over other approaches in common use.
“We believe that the MOST framework offers several benefits over other approaches in common use.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenThe model in our research could easily be transitioned to one in which medical assistants continue to recruit smokers but refer them to health counselors or chronic disease management staff who provide the cessation intervention.
“This model could easily be transitioned to one in which medical assistants continue to recruit smokers but then refer them to health counselors or chronic disease management staff who then provide the specific cessation intervention.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisereasoningMOST does not require any particular design approach, only that the resource management principle be followed in selecting a design.
“MOST does not require that any particular design approach be used, only that the resource management principle be followed in selecting a design.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenTo a great extent, any intervention research conducted in real-world settings simultaneously tests the interventions and the real-world contexts in which the interventions are embedded.
“The vital point is that to a great extent, any intervention research conducted in real-world settings simultaneously tests the interventions and the real-world contexts in which the interventions are embedded.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Premisenone givenThe analyses leading up to assembling the beta version are primarily used for making decisions about which components and levels to include.
“However, the analyses that lead up to assembling the beta version of the intervention are primarily used for making decisions about which components and levels to include in the beta version of the intervention.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningSometimes decisions about components and levels may require trade-offs between outcomes.
“Sometimes these decisions may require trade-offs between outcomes (for example, if a component looks relatively strong in terms of one outcome measure but not in another, then the investigator will be forced to choose which outcome is more important).”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningBlurring efficacy and effectiveness research may have costs, such as missing the true optimal effects of intensive and complex assessments and components, with negative theoretical and clinical consequences.
“The blurring of efficacy and effectiveness research may have some costs. For instance, very intensive and complex assessments and intervention components would not be tested under ideal circumstances, and thus their true optimal effects would be missed. This could have negative theoretical as well as clinical consequences.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
InterpretationreasoningIn the confirmation step, the RCT is usually the most efficient and appropriate design.
“Here the RCT is usually the most efficient and appropriate design.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Premisenone givenIn the experimentation step of MOST, research questions concern the effects of individual intervention components.
“In the experimentation step of MOST (Step 3) the research questions are concerned with the effects of individual intervention components.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningWhen used in concert, various types of experiments can address a comprehensive set of research questions and produce information bearing on increasing public health impact.
“When used in concert, as they are in MOST, the various types of experiments can address a comprehensive set of research questions and produce information that bears directly on increasing the public health impact of behavioral interventions.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
PremisereasoningResearch goals may foster a mix of real-world and research features and mechanisms.
“Research goals may foster a mix of real-world and research features and mechanisms”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningMOST can be used to update interventions periodically to incorporate new approaches or innovations while ensuring that the changes made do not erode effectiveness.
“MOST can also be used to update interventions periodically to incorporate new approaches or innovations while ensuring that the changes made do not erode effectiveness.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenThe resource management principle, when properly and consistently applied, can increase the yield of scientific information from research and thereby hasten the progress of knowledge acquisition.
“The resource management principle, when properly and consistently applied, can increase the yield of scientific information from research and thereby hasten the progress of knowledge acquisition.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisenone givenIn the confirmation step of MOST, the primary research question concerns evaluating the effectiveness of the beta version of the intervention compared to a control group.
“By contrast, in the confirmation step of MOST (Step 5) the primary research question concerns evaluating the effectiveness of the beta version of the intervention as compared to a control group.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing). May combine two claims.
InterpretationreasoningVarious contingencies may be listed in an application up to a point, but there may be too many alternatives to include them all within a reasonable page limit.
“Various contingencies may be listed in an application up to a point, but there may be too many alternatives to include them all within a reasonable page limit.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable). May combine two claims.
InterpretationcitationFunctions such as smoker identification, tracking, intervention delivery, and appraisals of outcomes must be translatable.
“That is, functions such as smoker identification, tracking, intervention delivery, appraisals of outcomes, and so on, must be translatable”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing). May combine two claims.
InterpretationreasoningThere remains a role for efficacy research where the theoretical value of an experiment is high or where the intervention is not intended for widespread dissemination.
“Thus, there remains a role for efficacy research in those cases where the theoretical value of an experiment is high, or where the intervention is not intended for widespread dissemination.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Premisenone givenOften decisions concerning components and levels must be made based on multiple outcome variables.
“Often decisions concerning components and levels must be made based on multiple outcome variables.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
InterpretationreasoningThe system features in which research is embedded are major determinants of the likely translation potential of the research.
“In other words, the system features in which the research is embedded are major determinants of the likely translation potential of the research.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningWhether a full cycle of MOST can be completed within five years depends on factors such as investigator experience, recruitment and retention speed, and expected experimentation duration.
“This depends on many factors, such as how experienced the investigators are with the MOST approach; how quickly study participants can be recruited and how well they can be retained; and how long the experimentation is expected to take.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisereasoningBecause MOST often requires sequential decision making, the details of the approach in one step may depend on outcomes of previous steps.
“Second, because MOST often requires sequential decision making, the details of the approach to be used in one step may be dependent on the outcomes of previous steps.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe three features described do not exhaust all the steps needed to effect Type II translation.
“The three features described above certainly do not exhaust all the steps needed to effect Type II translation.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningThe approach proposed in this paper will not only improve clinical smoking cessation treatment, but will further the understanding of its underlying mechanisms.
“Thus the approach proposed in this paper will not only improve clinical smoking cessation treatment, but will further the understanding of its underlying mechanisms.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductnone givenThe fractional factorial design selected has the same statistical power as the corresponding complete factorial design while requiring half the experimental conditions.
“The fractional factorial design we selected has the same statistical power as the corresponding complete factorial design, while requiring only half the experimental conditions.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
Interpretationnone givenThese approaches fit well within the MOST framework.
“These approaches fit well within the MOST framework.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningObtaining research funding to implement MOST can be challenging.
“Still, obtaining research funding to implement MOST can be challenging.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningIn most cases, it is impossible to examine every potential intervention component in a single MOST cycle.
“In most cases, it will be impossible to examine every potential component in a single cycle of MOST.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Premisenone givenThe choice of experimental design is a major determinant of what can be accomplished with a given level of resources.
“The choice of experimental design is critical, because it is a major determinant of what can be accomplished with a given level of resources.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Study design and conductnone givenTo maintain fidelity to the design, it is critical that each participant receives the intervention components included in his or her assigned experimental condition, and only those components.
“To maintain fidelity to the design it is critical to ensure that each participant receives the intervention components included in his or her assigned experimental condition, and only those components.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationnone givenDepending on available resources, it may not be possible to implement 32 experimental conditions.
“However, depending on available resources, it may not be possible to implement 32 experimental conditions.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisereasoningBehavioral interventions in some areas of tobacco control may have a primary outcome variable much more temporally distal than six-month point prevalence abstinence.
“Behavioral interventions in some areas of tobacco control may have a primary outcome variable that is much more temporally distal than six-month point prevalence abstinence.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThere are viable models ranging from clinic staff merely referring to a state quitline or an eHealth intervention, to a chronic care model approach to disease management.
“The possibilities are legion with viable models ranging from clinic staff merely referring to a state quitline or an eHealth intervention (54, 55), to a chronic care model approach to disease management in which staff take primary responsibility for assessment, intervening, and patient tracking (7).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [54] Japuntich SJ, Zehner ME, Smith SS, et al. Smoking cessation via the internet: A randomized clinical trial of an internet intervention as adjuvant treatment in a smoking cessation intervention. Nicotine Tob Res. 2006;8 Suppl 1:S59–67. source
Not checked in the free run.
- cites [55] Strecher VJ, McClure J, Alexander G, et al. Web-based smoking cessation components and tailoring depth: Results of a randomized trial. Am J Prev Med. 2008;34:373–81. source
Not checked in the free run.
- cites [7] Hung DY, Shelley DR. Multilevel analysis of the Chronic Care Model and 5A services for treating tobacco use in urban primary care clinics. Health Serv Res. 2008;44:103–27. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisereasoningMOST provides a natural method of including cost information in decision making.
“Third, MOST provides a natural method of including cost information in decision making.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningA factorial experiment would in most cases be much less efficient and may not contain the necessary experimental conditions for the confirmation step's primary research question.
“A factorial experiment would in most cases be much less efficient and may not even contain the experimental conditions necessary for addressing the primary research question.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.
Interpretationnone givenThe strategy proposed will speed the identification of effective tobacco interventions and their translation into real-world use.
“We believe that the strategy we propose will speed the identification of effective tobacco interventions and their translation into real-world use.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
Interpretationnone givenThis strategy may have wide applicability to the development of behavioral interventions for other chronic health challenges.
“This strategy may have wide applicability to the development of behavioral interventions for other chronic health challenges.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
The development of new cessation interventions with demonstrated effectiveness and cost-effectiveness has been relatively slow.
“Despite the need for tobacco cessation approaches that work, the development of novel cessation interventions of demonstrated effectiveness and cost-effectiveness has been relatively slow.”
The paper relies on this without support.
If all tobacco users received evidence-based treatments that substantially raised their chances of becoming tobacco-free, morbidity and mortality would fall and health-related costs would be saved.
“If all tobacco users could be provided with evidence-based treatments that substantially increased their chances of becoming tobacco-free, not only would morbidity and mortality be reduced, but millions of dollars in health-related costs could be saved.”
The paper relies on this without support.
Prior research does not directly provide estimates of individual component effects in a real-world effectiveness setting.
“Prior research does not directly supply this information.”
The paper relies on this without support.
The traditional approach to choosing intervention components and levels relies solely on clinical experience, informal hypotheses, and post-hoc nonexperimental analyses.
“The traditional approach of choosing intervention components and levels is based solely on information such as clinical experience, informal hypotheses, and post-hoc nonexperimental analyses.”
The paper relies on this without support.
Most behavioral interventions with statistically significant program effects could be modified to increase their public health impact appreciably.
“In our view, it is likely that the vast majority of behavioral interventions that achieve statistically significant program effects could readily be modified to increase their public health impact appreciably.”
The paper relies on this without support.
Type II translation is important in tobacco control.
“We are particularly interested in Type II translation because of its importance in tobacco control.”
The paper relies on this without support.
Translating cessation intervention research into healthcare and other real-world settings is crucial because those settings can deliver cessation treatments to large numbers of smokers.
“Translating cessation intervention research into healthcare settings and other real-world health care contexts (e.g., quit lines) is crucial because such settings offer unparalleled opportunities to deliver cessation treatments to large numbers of smokers.”
The authors state this as an assumption.
Using fractional factorial designs requires assuming that most higher-order interactions (three or more factors) are in Category B (likely negligible).
“In general, using fractional factorial designs requires making the assumption that most higher-order interactions (i.e., interactions that involve three or more factors) are in Category B.”
The paper relies on this without support.
The five two-way interactions and one three-way interaction selected as targets are likely to have the largest impact on decisions about which components and levels to include.
“We selected these target effects because we believe that they are likely to have the largest impact on our decisions about which components and levels of components to include in the intervention.”
The paper relies on this without support.
The remaining three-way interactions and all interactions involving four or more factors are likely negligible.
“The remaining three-way interactions and all interactions involving four or more factors were placed in Category B.”
The paper relies on this without support.
Short-term outcomes are more sensitive to the performance of intervention components than long-term outcomes.
“We decided to use short-term outcomes to select components and component levels because we believe short-term outcomes will be more sensitive to the performance of the intervention components.”
The paper relies on this without support.
Using short-term outcomes will help keep the overall study on a reasonable timeline.
“In addition, using short-term outcomes will help to keep the overall study on a reasonable timeline.”
The paper relies on this without support.
The five-year funding cycle has no intrinsic scientific meaning or merit.
“The five year funding cycle is merely an administrative necessity. It has no intrinsic scientific meaning or merit and was never meant to be a scientific imperative.”
The paper relies on this without support.
MOST rests on the conviction that useful information can be gained by examining the effects of individual intervention components, provided that experimental designs are chosen prudently.
“First, MOST rests on the conviction that useful information can be gained by examining the effects of individual intervention components, provided that experimental designs are chosen prudently.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The literature contains far less work on how evidence-based interventions are adopted and spread at population scale.
“Much less research exists on the process of how EBIs are adopted and disseminated on a wide-scale, population level (Collins et al. 2011).”
From Translational research in South Africa: evaluating implementation quality using a factorial design (2012) · cites this paper as Collins et al. 2011
Factorial experiments enable analyses of the effects of each independent variable on specific mediators.
“Fifth, the factorial experiment enables analyses that address hypotheses about the effects of each of the three independent variables on specific mediating variables (Collins et al. 2011).”
From Translational research in South Africa: evaluating implementation quality using a factorial design (2012) · cites this paper as Collins et al. 2011
Factorial designs may serve as an appealing substitute for observational studies or RCTs when the aim is to estimate separate effects of multiple intervention components.
“Recently, behavioral scientists have noticed that a factorial experiment can be an attractive alternative to an observational study or an RCT (e.g., Collins et al. 2011; Strecher et al. 2008), when the objective is to estimate the individual effects of several different aspects of an intervention.”
From Translational research in South Africa: evaluating implementation quality using a factorial design (2012) · cites this paper as Collins et al. 2011
The interventions reported across the review varied widely and included a few targeting behavioural change at the individual patient level, such as weight reduction and smoking cessation programs, or at the level of healthcare professionals, such as interventions targeting general practitioners to reduce inappropriate prescribing behaviours.
“The interventions reported across the review varied widely and included a few targeting behavioural change at the individual patient level, such as weight reduction [27] and smoking cessation programs [10, 44, 49], or at the level of healthcare professionals, such as interventions targeting general practitioners to reduce inappropriate prescribing behaviours [26, 45, 46, 48].”
From Optimisation of complex health interventions prior to a randomised controlled trial: a scoping review of strategies used (2016) · cites this paper as [44]
Two included studies applied the MOST framework.
“and two applied the MOST framework [10, 44].”
From Optimisation of complex health interventions prior to a randomised controlled trial: a scoping review of strategies used (2016) · cites this paper as [44]
Factorial experiments, uncontrolled pilot studies and probability models tended to be used to test specific components and to identify an intervention's potential effect.
“For example, factorial experiments, uncontrolled pilot studies and probability models tended to be used to test specific components and to identify an intervention’s potential effect [10, 25, 29, 38, 44, 49, 50].”
From Optimisation of complex health interventions prior to a randomised controlled trial: a scoping review of strategies used (2016) · cites this paper as [44]
A number of included studies adopted quantitative methods such as fractional factorial experiments, economic modelling, small uncontrolled pilot studies (with no control group), experimental 2×2 randomised controlled trials, probability models and evaluation questionnaires.
“A number of studies adopted quantitative methods such as fractional factorial experiments [10, 44], economic modelling [33], small uncontrolled pilot studies (with no control group) [25, 29, 38], experimental 2 × 2 randomised controlled trials [45, 46], probability models [49, 50] and evaluation questionnaires [43].”
From Optimisation of complex health interventions prior to a randomised controlled trial: a scoping review of strategies used (2016) · cites this paper as [44]
Seven included studies were a preliminary investigation of the effect of the intervention or a combination of its components on proxy or final outcomes and intervention long-term impact.
“Seven studies were a preliminary investigation of the effect of the intervention or a combination of its components on proxy or final outcomes and intervention long-term impact [10, 24, 44–46, 49, 50].”
From Optimisation of complex health interventions prior to a randomised controlled trial: a scoping review of strategies used (2016) · cites this paper as [44]
Data on the outcome of two included optimisation studies were not available despite attempts to contact the leading authors.
“Despite attempts to contact the leading authors, data on the outcome of two of the included optimisation studies were not available [10, 44].”
From Optimisation of complex health interventions prior to a randomised controlled trial: a scoping review of strategies used (2016) · cites this paper as [44]
Using a SMART to build the best adaptive intervention before evaluating it in an RCT aligns with MOST's resource management principle.
“using a SMART to construct the best AI prior to evaluating it in an RCT is consistent with the resource management principle of MOST, which states that “available research resources must be managed strategically so as to gain the most information [to] move science forward fastest” [66].”
From Introduction to SMART designs for the development of adaptive interventions: with application to weight loss research (2014) · cites this paper as [66]
SMARTs belong to the Multiphase Optimization Strategy (MOST), a framework for building effective multicomponent behavioral interventions.
“SMARTs are part of the Multiphase Optimization Strategy (MOST; [66]), a framework for constructing effective multicomponent behavioral interventions.”
From Introduction to SMART designs for the development of adaptive interventions: with application to weight loss research (2014) · cites this paper as [66]
Important frameworks for intervention design and evaluation stress that theory should inform design and that interventions should be specified by component techniques.
“Key frameworks for designing and evaluating behaviour change interventions (Collins et al., 2011;Craig et al., 2008) emphasise the importance of using theory to inform intervention design as well as specifying interventions in terms of component BCTs.”
From Theories and techniques of behaviour change: Developing a cumulative science of behaviour change (2012) · cites this paper as Collins et al., 2011
Fractional factorial designs can make examination of multiple implementation components feasible even when cluster randomization is necessary.
“Fractional designs can make examination of multiple components feasible, even when cluster randomization is necessary (30, 32, 37).”
From An Overview of Research and Evaluation Designs for Dissemination and Implementation (2017) · cites this paper as [30]
MOST establishes a process for continuous optimization of behavior change interventions by iteratively evaluating the efficacy of intervention components.
“MOST establishes a process for continuous optimization of behavior change interventions by iteratively evaluating the efficacy of intervention components.”
From Agile science: creating useful products for behavior change in the real world (2016) · cites this paper as [14]
The MOST framework emphasizes efficient resource management and continuous improvement.
“the adoption of the MOST framework, which emphasizes efficient resource management and continuous improvement [36].”
Cites
Developing and evaluating complex interventions: the new Medical Research Council guidance
Craig, P., Dieppe, P., Macintyre, S., Michie, S., Nazareth, I., & Petticrew, M. (2008) · BMJ · doi:10.1136/bmj.a1655 · Cited by 10,995 · see citing works
Drug Dependence, a Chronic Medical Illness
McLellan, A. T., Lewis, D. C., O'Brien, C. P., & Kleber, H. D. (2000) · JAMA · doi:10.1001/jama.284.13.1689 · Cited by 2,622 · cited 1× · see citing works
“For instance, consistent with chronic care models [45, 46], cessation intervention components might shift much responsibility for intervening from the primary care physician to appropriate support staff (e.”
BackgroundGlasgow, R. E., Lichtenstein, E., & Marcus, A. C. (2003) · American Journal of Public Health · doi:10.2105/ajph.93.8.1261 · Cited by 1,836 · see citing works
Jorenby, D. E. (2006) · JAMA · doi:10.1001/jama.296.1.56 · Cited by 1,635 · see citing works
Self-citationCollins, L. M., Murphy, S. A., & Strecher, V. (2007) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2007.01.022 · Cited by 1,082 · see citing works
Self-citationHow Can We Increase Translation of Research into Practice? Types of Evidence Needed
Glasgow, R. E., & Emmons, K. M. (2007) · Annual Review of Public Health · doi:10.1146/annurev.publhealth.28.021406.144145 · Cited by 1,050 · see citing works
Tonstad, S. (2006) · JAMA · doi:10.1001/jama.296.1.64 · Cited by 660 · see citing works
Glasgow, R. E., Klesges, L. M., Dzewaltowski, D. A., Bull, S. S., & Estabrooks, P. (2004) · Annals of Behavioral Medicine · doi:10.1207/s15324796abm2701_2 · Cited by 635 · see citing works
A Conceptual Framework for Adaptive Preventive Interventions
Collins, L. M., Murphy, S. A., & Bierman, K. L. (2004) · Prevention Science · doi:10.1023/b:prev.0000037641.26017.00 · Cited by 608 · see citing works
Self-citationNew directions in eHealth communication: Opportunities and challenges
Kreps, G. L., & Neuhauser, L. (2010) · Patient Education and Counseling · doi:10.1016/j.pec.2010.01.013 · Cited by 546 · see citing works
The effectiveness of the nicotine patch for smoking cessation. A meta-analysis
Fiore, M. C. (1994) · JAMA · doi:10.1001/jama.271.24.1940 · Cited by 534 · see citing works
Self-citationA strategy for optimizing and evaluating behavioral interventions
Collins, L. M., Murphy, S. A., Nair, V. N., & Strecher, V. J. (2005) · Annals of Behavioral Medicine · doi:10.1207/s15324796abm3001_8 · Cited by 492 · see citing works
Self-citationEvidence of Real-World Effectiveness of a Telephone Quitline for Smokers
Zhu, S., Anderson, C. M., Tedeschi, G. J., Rosbrook, B. P., Johnson, C., Byrd, M., & Gutiérrez-Terrell, E. (2002) · New England Journal of Medicine · doi:10.1056/nejmsa020660 · Cited by 462 · see citing works
Hopkins, D. P., Briss, P. A., Ricard, C. J., Husten, C. G., Carande-Kulis, V. G., Fielding, J. E., Alao, M. O., McKenna, J. W., Sharp, D. J., Harris, J. R., et al. (2001) · American Journal of Preventive Medicine · doi:10.1016/s0749-3797(00)00297-x · Cited by 453 · see citing works
Does the Chronic Care Model Serve Also as a Template for Improving Prevention?
Glasgow, R. E., Orleans, C. T., Wagner, E. H., Curry, S. J., & Solberg, L. I. (2001) · Milbank Quarterly · doi:10.1111/1468-0009.00222 · Cited by 447 · see citing works
Collins, L. M., Dziak, J. J., & Li, R. (2009) · Psychological Methods · doi:10.1037/a0015826 · Cited by 431 · see citing works
Self-citationPredicting Smoking Cessation: Who Will Quit With and Without the Nicotine Patch
Kenford, S. L. (1994) · JAMA · doi:10.1001/jama.271.8.589 · Cited by 405 · see citing works
Moore, D., Aveyard, P., Connock, M., Wang, D., Fry-Smith, A., & Barton, P. (2009) · BMJ · doi:10.1136/bmj.b1024 · Cited by 372 · see citing works
Hays, J. T., Hurt, R. D., Rigotti, N. A., Niaura, R., Gonzales, D., Durcan, M. J., Sachs, D. P. L., Wolter, T. D., Buist, A. S., Johnston, J. A., et al. (2001) · Annals of Internal Medicine · doi:10.7326/0003-4819-135-6-200109180-00011 · Cited by 343 · see citing works
Zhu, S., Stretch, V., Balabanis, M. H., Rosbrook, B. P., Sadler, G. R., & Pierce, J. P. (1996) · Journal of Consulting and Clinical Psychology · doi:10.1037//0022-006x.64.1.202 · Cited by 332 · see citing works
Analysis of cluster randomized trials in primary care: a practical approach
Campbell, M. K., Mollison, J., Steen, N., Grimshaw, J. M., & Eccles, M. (2000) · Family Practice · doi:10.1093/fampra/17.2.192 · Cited by 327 · see citing works
Zhu, S.-H., Stretch, V., Balabanis, M., Rosbrook, B., Sadler, G., & Pierce, J. P. (1996) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.64.1.202 · Cited by 302 · see citing works
Web-Based Smoking-Cessation Programs
Strecher, V. J., McClure, J. B., Alexander, G. L., Chakraborty, B., Nair, V. N., Konkel, J. M., Greene, S. M., Collins, L. M., Carlier, C. C., Wiese, C. J., et al. (2008) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2007.12.024 · Cited by 266 · see citing works
Self-citationHollis, J. F., McAfee, T. A., Fellows, J. L., Zbikowski, S. M., Stark, M., & Riedlinger, K. (2007) · Tobacco Control · doi:10.1136/tc.2006.019794 · Cited by 220 · see citing works
The effectiveness of the nicotine patch for smoking cessation. A meta-analysis.
Fiore, M. C., Smith, S. S., Jorenby, D. E., & Baker, T. B. (1994) · PubMed · Cited by 214 · see citing works
Self-citationDeveloping adaptive treatment strategies in substance abuse research
Murphy, S. A., Lynch, K. G., Oslin, D., McKay, J. R., & TenHave, T. (2007) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2006.09.008 · Cited by 211 · see citing works
A vision of the next generation of behavioral therapies research in the addictions*
Carroll, K. M., & Rounsaville, B. J. (2007) · Addiction · doi:10.1111/j.1360-0443.2007.01798.x · Cited by 177 · see citing works
Analyzing milestones in smoking cessation: Illustration in a nicotine patch trial in adult smokers.
Shiffman, S. S., Scharf, D. M., Shadel, W. G., Gwaltney, C. J., Dang, Q., Paton, S. M., & Clark, D. B. (2006) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.74.2.276 · Cited by 169 · see citing works
New Methods for Tobacco Dependence Treatment Research
Baker, T. B., Mermelstein, R. J., Collins, L. M., Piper, M. E., Jorenby, D. E., Smith, S. S., Christiansen, B. A., Schlam, T. R., Cook, J. W., & Fiore, M. C. (2010) · Annals of Behavioral Medicine · doi:10.1007/s12160-010-9252-y · Cited by 169 · see citing works
Self-citationThe feasibility of smoking reduction: an update
Hughes, J. R., & Carpenter, M. J. (2005) · Addiction · doi:10.1111/j.1360-0443.2005.01174.x · Cited by 168 · see citing works
Carroll, K. M., & Rounsaville, B. J. (2003) · Psychiatric Services · doi:10.1176/appi.ps.54.3.333 · Cited by 155 · see citing works
Rivera, D. E., Pew, M. D., & Collins, L. M. (2007) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2006.10.020 · Cited by 151 · see citing works
Self-citationHung, D. Y., Rundall, T. G., Tallia, A. F., Cohen, D. J., Halpin, H. A., & Crabtree, B. F. (2007) · Milbank Quarterly · doi:10.1111/j.1468-0009.2007.00477.x · Cited by 146 · see citing works
Japuntich, S., Zehner, M., Smith, S., Jorenby, D., Valdez, J., Fiore, M., Baker, T., & Gustafson, D. (2006) · Nicotine & Tobacco Research · doi:10.1080/14622200601047900 · Cited by 134 · see citing works
Self-citationDoes reducing withdrawal severity mediate nicotine patch efficacy? A randomized clinical trial.
Ferguson, S. G., Shiffman, S., & Gwaltney, C. J. (2006) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.74.6.1153 · Cited by 117 · see citing works
Precessation treatment with nicotine skin patch facilitates smoking cessation
Rose, J. E., Behm, F. M., Westman, E. C., & Kukovich, P. (2006) · Nicotine & Tobacco Research · doi:10.1080/14622200500431866 · Cited by 111 · see citing works
Using mediational models to explore the nature of tobacco motivation and tobacco treatment effects.
Piper, M. E., Federman, E. B., McCarthy, D. E., Bolt, D. M., Smith, S. S., Fiore, M. C., & Baker, T. B. (2008) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.117.1.94 · Cited by 105 · see citing works
Self-citationUse of FDA-approved pharmacologic treatments for tobacco dependence--United States, 1984-1998.
Burton, S. L., Gitchell, J. G., & Shiffman, S. S. (2000) · PubMed · Cited by 88 · see citing works
Delivery Rates for Preventive Services in 44 Midwestern Clinics
Kottke, T. E., Solberg, L. I., Brekke, M. L., Cabrera, A., & Marquez, M. A. (1997) · Mayo Clinic Proceedings · doi:10.4065/72.6.515 · Cited by 85 · see citing works
Hopkins, D. P., Husten, C. G., Fielding, J. E., Rosenquist, J. N., & Westphal, L. L. (2001) · American Journal of Preventive Medicine · doi:10.1016/s0749-3797(00)00298-1 · Cited by 82 · see citing works
Implementing tobacco interventions in the real world of managed care
Hollis, J. F. (2000) · Tobacco Control · doi:10.1136/tc.9.suppl_1.i18 · Cited by 66 · see citing works
Zhu, S., Tedeschi, G. J., Anderson, C. M., Rosbrook, B. P., Byrd, M., Johnson, C., & Gutiérrez-Terrell, E. (2000) · Preventive Medicine · doi:10.1006/pmed.2000.0720 · Cited by 66 · see citing works
Effect on Cessation Counseling of Documenting Smoking Status as a Routine Vital Sign: An ACORN Study
Rothemich, S. F., Woolf, S. H., Johnson, R. E., Burgett, A. E., Flores, S. K., Marsland, D. W., & Ahluwalia, J. S. (2008) · The Annals of Family Medicine · doi:10.1370/afm.750 · Cited by 53 · see citing works
Horst, W. D., Klein, M. W., Williams, D. D., & Werder, S. (2005) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.a802 · Cited by 49 · see citing works
Covey, L. S., Glassman, A. H., Jiang, H., Fried, J., Masmela, J. R., LoDuca, C., Petkova, E., & Rodriguez, K. (2007) · Addiction · doi:10.1111/j.1360-0443.2007.01887.x · Cited by 48 · see citing works
Factors related to abstinence in a telephone helpline for smoking cessation
Helgason, Á. R. (2004) · European Journal of Public Health · doi:10.1093/eurpub/14.3.306 · Cited by 48 · see citing works
Smoking treatment interventions and policies to promote their use: a critical review
Friend, K., & Levy, D. T. (2001) · Nicotine & Tobacco Research · doi:10.1080/14622200110072165 · Cited by 35 · see citing works
Hung, D. Y., & Shelley, D. R. (2009) · Health Services Research · doi:10.1111/j.1475-6773.2008.00896.x · Cited by 31 · see citing works
A Risk-based Model Predictive Control Approach to Adaptive Interventions in Behavioral Health
Zafra-Cabeza, A., Rivera, D. E., Collins, L. M., Ridao, M. A., & Camacho, E. F. (2006) · Proceedings of the 45th IEEE Conference on Decision and Control · doi:10.1109/cdc.2006.377686 · Cited by 3 · see citing works
Self-citationErratum to: New Methods for Tobacco Dependence Treatment Research
Baker, T. B., Mermelstein, R. J., Collins, L. M., et al. (2011) · Annals of Behavioral Medicine · doi:10.1007/s12160-011-9281-1 · Cited by 3 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 10
- Fiore MC, Bailey WC, Cohen SJ. Treating tobacco use and dependence: Clinical practice guideline. Rockville: U.S. Department of Health and Human Services, U.S. Public Health Service; 2000.
- Fiore MC, Jaen CR, Baker TB, et al. Treating tobacco use and dependence: 2008 update. Rockville: U.S. Department of Health and Human Services, U.S. Public Health Service; 2008.
- Box GEP, Hunter, W.G., & Hunter, J.S. Statistics for experimenters: An introduction to design, data analysis, and model building. New York: Wiley; 1978.
- Wu CF, Hamada M. Experiments: Planning, analysis, and parameter design optimization. New York: Wiley; 2000.
- Shadish WR, Cook TD, Campbell DT. Experimental and quasi-experimental designs for generalized causal inference. Boston: Houghton-Mifflin; 2002.
- Fisher RA. The arrangement of field experiments. Journal of the Ministry of Agriculture of Great Britain. 1926;33:505–13.
- Chakraborty H. The design and analysis aspects of cluster randomized trials. In: Biswas A, Datta S, Fine JP, Segal MR, eds. Statistical Advances in the Biomedical Sciences. Hoboken: Wiley; 2008:67–80.
- SAS Institute. SAS/STAT 9.1 User's Guide. Cary: SAS Institute; 2004.
- SAS Institute. SAS/QC9.1 User's Guide. Cary: SAS Institute; 2004.
- Fiore MC, Bailey WC, Cohen SJ. Smoking cessation: Clinical practice guideline no. 18. Rockville: U.S. Department of Health and Human Services, Public Health Service, Agency for Health Care Policy and Research; 1996.
Cited by
Sorted by citations
Davis, R., Campbell, R., Hildon, Z., Hobbs, L., & Michie, S. (2015) · Health Psychology Review · doi:10.1080/17437199.2014.941722 · Cited by 1,411 · see citing works
Advancing social connection as a public health priority in the United States.
Holt-Lunstad, J., Robles, T. F., & Sbarra, D. A. (2017) · American Psychologist · doi:10.1037/amp0000103 · Cited by 978 · see citing works
Scaling Up mHealth: Where Is the Evidence?
Tomlinson, M., Rotheram-Borus, M. J., Swartz, L., & Tsai, A. C. (2013) · PLoS Medicine · doi:10.1371/journal.pmed.1001382 · Cited by 673 · see citing works
Theories and techniques of behaviour change: Developing a cumulative science of behaviour change
Michie, S., & Johnston, M. (2012) · Health Psychology Review · doi:10.1080/17437199.2012.654964 · Cited by 522 · see citing works
mHealth: A Mechanism to Deliver More Accessible, More Effective Mental Health Care
Price, M., Yuen, E. K., Goetter, E. M., Herbert, J. D., Forman, E. M., Acierno, R., & Ruggiero, K. J. (2014) · Clinical Psychology & Psychotherapy · doi:10.1002/cpp.1855 · Cited by 488 · see citing works
An Overview of Research and Evaluation Designs for Dissemination and Implementation
Brown, C. H., Curran, G., Palinkas, L. A., Aarons, G. A., Wells, K. B., Jones, L., Collins, L. M., Duan, N., Mittman, B. S., Wallace, A., et al. (2017) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-031816-044215 · Cited by 509 · see citing works
Self-citationAlmirall, D., Nahum-Shani, I., Sherwood, N. E., & Murphy, S. A. (2014) · Translational Behavioral Medicine · doi:10.1007/s13142-014-0265-0 · Cited by 453 · see citing works
Collins, L. M., Dziak, J. J., Kugler, K. C., & Trail, J. B. (2014) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2014.06.021 · Cited by 335 · see citing works
Self-citationGarland, E. L., & Howard, M. O. (2018) · Addiction Science & Clinical Practice · doi:10.1186/s13722-018-0115-3 · Cited by 300 · see citing works
Collins, L. M. (2018) · Statistics for Social and Behavioral Sciences · doi:10.1007/978-3-319-72206-1 · Cited by 257 · see citing works
Self-citationFreedland, K. E., King, A. C., Ambrosius, W. T., Mayo-Wilson, E., Mohr, D. C., Czajkowski, S. M., Thabane, L., Collins, L. M., Rebok, G. W., Treweek, S. P., et al. (2019) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2019.02.011 · Cited by 218 · see citing works
Self-citationIntegrating Technology Into Standard Weight Loss Treatment: A Randomized Controlled Trial
Spring, B., Duncan, J. M., Janke, E. A., Kozak, A. T., McFadden, H. G., DeMott, A., Pictor, A., Epstein, L. H., Siddique, J., Pellegrini, C. A., et al. (2013) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2013.1221 · Cited by 234 · see citing works
Baker, T. B., Gustafson, D. H., & Shah, D. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.2925 · Cited by 221 · see citing works
Self-citationAgile science: creating useful products for behavior change in the real world
Hekler, E. B., Klasnja, P., Riley, W. T., Buman, M. P., Huberty, J., Rivera, D. E., & Martin, C. A. (2016) · Translational Behavioral Medicine · doi:10.1007/s13142-016-0395-7 · Cited by 208 · see citing works
Moller, A. C., Merchant, G., Conroy, D. E., West, R., Hekler, E., Kugler, K. C., & Michie, S. (2017) · Journal of Behavioral Medicine · doi:10.1007/s10865-016-9818-7 · Cited by 151 · see citing works
Dziak, J. J., Nahum-Shani, I., & Collins, L. M. (2012) · Psychological Methods · doi:10.1037/a0026972 · Cited by 142 · see citing works
Self-citationDesigning for Emotion Regulation Interventions: An Agenda for HCI Theory and Research
Slovak, P., Antle, A., Theofanopoulou, N., Daudén Roquet, C., Gross, J., & Isbister, K. (2023) · ACM Transactions on Computer-Human Interaction · doi:10.1145/3569898 · Cited by 142 · see citing works
Community health workers at the dawn of a new era: 11. CHWs leading the way to “Health for All”
Perry, H. B., Chowdhury, M., Were, M., LeBan, K., Crigler, L., Lewin, S., Musoke, D., Kok, M., Scott, K., Ballard, M., et al. (2021) · Health Research Policy and Systems · doi:10.1186/s12961-021-00755-5 · Cited by 129 · see citing works
Levati, S., Campbell, P., Frost, R., Dougall, N., Wells, M., Donaldson, C., & Hagen, S. (2016) · Pilot and Feasibility Studies · doi:10.1186/s40814-016-0058-y · Cited by 101 · see citing works
Collins, L. M., Trail, J. B., Kugler, K. C., Baker, T. B., Piper, M. E., & Mermelstein, R. J. (2014) · Translational Behavioral Medicine · doi:10.1007/s13142-013-0239-7 · Cited by 119 · see citing works
Self-citationWang, L., Rotnitzky, A., Lin, X., Millikan, R. E., & Thall, P. F. (2012) · Journal of the American Statistical Association · doi:10.1080/01621459.2011.641416 · Cited by 108 · see citing works
Morrison, L., Moss‐Morris, R., Michie, S., & Yardley, L. (2014) · British Journal of Health Psychology · doi:10.1111/bjhp.12083 · Cited by 110 · see citing works
Coronado, R. A., Brintz, C. E., McKernan, L. C., Master, H., Motzny, N., Silva, F. M., Goyal, P. M., Wegener, S. T., & Archer, K. R. (2020) · PAIN Reports · doi:10.1097/pr9.0000000000000847 · Cited by 115 · see citing works
Mobile Intervention Design in Diabetes: Review and Recommendations
Mulvaney, S. A., Ritterband, L. M., & Bosslet, L. (2011) · Current Diabetes Reports · doi:10.1007/s11892-011-0230-y · Cited by 92 · see citing works
McClure, J. B., Shortreed, S. M., Bogart, A., Derry, H., Riggs, K., St John, J., Nair, V., & An, L. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2508 · Cited by 83 · see citing works
Ivanich, J. D., Mousseau, A. C., Walls, M., Whitbeck, L., & Whitesell, N. R. (2020) · Prevention Science · doi:10.1007/s11121-018-0914-5 · Cited by 70 · see citing works
Wyrick, D. L., Rulison, K. L., Fearnow-Kenney, M., Milroy, J. J., & Collins, L. M. (2014) · Translational Behavioral Medicine · doi:10.1007/s13142-013-0247-7 · Cited by 57 · see citing works
Self-citationRadomski, A. D., Wozney, L., McGrath, P., Huguet, A., Hartling, L., Dyson, M. P., Bennett, K., & Newton, A. S. (2019) · Journal of Medical Internet Research · doi:10.2196/11128 · Cited by 40 · see citing works
“Modeling, factorial designs or the multiphase optimization strategy [110-112] (see also Baker et al’s study [113] for other suggestions) can be used to evaluate the best set (individual or combination) of program features to use under different conditions (eg, delivery setting and start or end of…”
MethodTranslational research in South Africa: evaluating implementation quality using a factorial design
Caldwell, L. L., Smith, E. A., Collins, L. M., Graham, J. W., Lai, M., Wegner, L., Vergnani, T., Matthews, C., & Jacobs, J. (2012) · Child & Youth Care Forum · doi:10.1007/s10566-011-9164-4 · Cited by 50 · see citing works
Self-citationWhitesell, N. R., Sarche, M., Keane, E., Mousseau, A. C., & Kaufman, C. E. (2018) · American Journal of Evaluation · doi:10.1177/1098214017726872 · Cited by 37 · see citing works
McClure, J. B., Derry, H., Riggs, K. R., Westbrook, E. W., St. John, J., Shortreed, S. M., Bogart, A., & An, L. C. (2012) · Contemporary Clinical Trials · doi:10.1016/j.cct.2012.06.009 · Cited by 33 · see citing works
Wells, R. D., Guastaferro, K., Azuero, A., Rini, C., Hendricks, B. A., Dosse, C., Taylor, R., Williams, G. R., Engler, S., Smith, C., et al. (2021) · Journal of Pain and Symptom Management · doi:10.1016/j.jpainsymman.2020.11.017 · Cited by 28 · see citing works
Employing practitioner expertise in optimizing community healthcare systems
Ballard, M., & Schwarz, R. (2019) · Healthcare · doi:10.1016/j.hjdsi.2018.08.003 · Cited by 20 · see citing works
Almirall, D., Lizotte, D. J., & Murphy, S. A. (2012) · Journal of the American Statistical Association · doi:10.1080/01621459.2012.665615 · Cited by 19 · see citing works
Advancing innovations in social/personality psychology and health: Opportunities and challenges
Rothman, A. J., Klein, W. M. P., & Cameron, L. D. (2013) · Health Psychology · doi:10.1037/a0032116 · Cited by 19 · see citing works
Tanner, A. E., Guastaferro, K. M., Rulison, K. L., Wyrick, D. L., Milroy, J. J., Bhandari, S., Thorpe, S., Ware, S., Miller, A. M., & Collins, L. M. (2021) · Annals of Behavioral Medicine · doi:10.1093/abm/kaab003 · Cited by 14 · see citing works
Self-citationBuskbjerg, C., O'Toole, M. S., Zachariae, R., Jensen, A. B., Frederiksen, Y., Johansen, C., von Heymann, A., Speckens, A., & Johannsen, M. (2023) · BMJ Open · doi:10.1136/bmjopen-2022-066505 · Cited by 4 · see citing works
Kahler, C. W., Surace, A., Liu, T., Pantalone, D. W., Mastroleo, N. R., Yan, Y., Wray, T. B., Mayer, K. H., & Monti, P. M. (2024) · AIDS and Behavior · doi:10.1007/s10461-024-04493-x · Cited by 4 · see citing works
“To inform optimization of behavioral interventions for alcohol misuse in SMM with HIV, the present study utilized a factorial design consistent with a Multiphase Optimization Strategy (MOST) [34, 35].”
Mehta, T., John, T., El Zein, A., Faught, V., Nawshin, T., Chilke, T. S., Cohen, C. W., Cherrington, A., & Thirumalai, M. (2025) · JMIR Research Protocols · doi:10.2196/70271 · Cited by 2 · see citing works
- Authors
- Collins, L. M., Baker, T. B., Mermelstein, R. J., Piper, M. E., Jorenby, D. E., Smith, S. S., Christiansen, B. A., Schlam, T. R., Cook, J. W., & Fiore, M. C.
- Affiliations
- Pennsylvania State University (US)
- University of Wisconsin–Madison (US)
- University of Illinois Chicago (US)
- Corresponding author
- Piper, Megan E.
- ORCID
- Venue
- Annals of Behavioral Medicine
- Publisher
- Oxford University Press (OUP)
- Published
- 2010-12-04
- Volume
- 41
- Issue
- 2
- Pages
- 208-226
- ISSN
- 0742-5554 (ISSN-L)
- 0883-6612
- 1532-4796
- PMC
- PMC3053423
- OpenAlex
- W2116440749
- Semantic Scholar
- 38fac411fa58c71a3130f46b734de3a8ef7ff13d
- Cited by
- 300
- References
- 50
- Citations by year
- 2026: 5 · 2025: 17 · 2024: 23 · 2023: 21 · 2022: 24 · 2021: 23 · 2020: 25 · 2019: 21 · 2018: 21 · 2017: 21 · 2016: 19 · 2015: 19 · 2014: 24 · 2013: 18 · 2012: 14
- FWCI
- 8.02
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Annals of Behavioral Medicine (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Pfizer
- Sanofi
- Georgia Clinical and Translational Science Alliance (1UL1RR025011)
- National Institutes of Health (5k05ca139871-05, 1K05CA139871)
- National Institute on Drug Abuse (R21DA024266, P50-DA-10075, K08DA021311, P50DA010075)
- National Cancer Institute (K05 CA-139871, 1K05CA139871, P50CA143188)
- National Center for Research Resources (UL1RR025011)
- Topics
- Health Sciences › Medicine › Physiology › Smoking Behavior and Cessation
- Health Sciences › Health Professions › General Health Professions › Health Policy Implementation Science
- Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
- Keywords
- multiphase optimization strategy, multicomponent intervention, tobacco use intervention, smoking cessation, intervention development, intervention evaluation, research translation, intervention efficacy, cost-effectiveness, behavioral interventions
- MeSH terms
- Behavior Therapy, Cost-Benefit Analysis, Engineering, Humans, Models, Theoretical, Research Design, Tobacco Use Disorder, Program Evaluation, Smoking Cessation, Program Development, Outcome Assessment, Health Care, Translational Research, Biomedical
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-06.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-06.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review