Cited by 10,995Health Policy Implementation ScienceEvaluation and Performance AssessmentAdvanced Causal Inference Techniques

Developing and evaluating complex interventions: the new Medical Research Council guidance

Open access
Craig, Peter, Dieppe, Paul, Macintyre, Sally, Michie, Susan, Nazareth, Irwin, Petticrew, Mark·2008·BMJ

Abstract

Evaluating complex interventions is complicated. The Medical Research Council9s evaluation framework (2000) brought welcome clarity to the task. Now the council has updated its guidance

Integrity signals

Registry

Crossref · 10.1136/bmj.a1655

Cites

43 of 43 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Claims the paper makes

0 of 31 cited sources checked · 0 supported · 0 flagged

  • Premisecitation

    Evidence strength does not always determine uptake; strong evidence can be disregarded and weak evidence adopted based on political acceptability or alignment with other beliefs about what works.

    “Strong evidence may be ignored or weak evidence taken up, depending on its political acceptability or fit with other ideas about what works.11”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [11] 11. Muir H. Let science rule: the rational way to run societies. New Scientist 2008;198:40-3.

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  • Premisecitation

    Recent publications have pointed out shortcomings in the 2000 MRC framework.

    “Several recent papers have identified limitations in the framework, recommending, for example, greater attention to early phase piloting and development work, 3 a less linear model of evaluation process, 4 integration of process and outcome evaluation, 5”
    Quote in the paperSubstantial claim0 of 3 sources checked
    • cites [3] 3. Hardeman W, Sutton S, Griffin S, Johnston M, White A, Wareham NJ, et al. A causal modelling approach to the development of theory-based behaviour change programmes for trial evaluation. Health Educ Res 2005;20:676-87.

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    • cites [4] 4. Campbell NC, Murray E, Darbyshire J, Emery J, Farmer A, Griffiths F, et al. Designing and evaluating complex interventions to improve health care. BMJ 2007;334:455-9.

      Not checked in the free run.

    • cites [5] 5. Oakley A, Strange V, Bonell C, Allen E, Stephenson J, Ripple Study Team. Process evaluation in randomised controlled trials of complex interventions. BMJ 2006;332:413-6.

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  • Premisecitation

    Using experimental methods to assess health effects can face political or ethical opposition, particularly when the intervention yields significant non-health benefits.

    “but there may be political or ethical objections to using them to assess health effects, especially if the intervention provides important non-health benefits.13”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [13] 13. Thomson H, Hoskins R, Petticrew M, Ogilvie D, Craig N, Quinn T, et al. Evaluating the health effects of social interventions. BMJ 2004;328:282-5.

      Not checked in the free run.

  • Premisecitation

    In certain evaluations, such as those aiming to identify active ingredients in a complex intervention, strict standardisation and controls to limit implementation variation may be necessary.

    “In some evaluations, such as those seeking to identify active ingredients within a complex intervention, strict standardisation may be required and controls put in place to limit variation in implementation.31”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [31] 31. Farmer A, Wade A, Goyder E, Yudkin P, French D, Craven A, et al. Impact of self-monitoring of blood glucose in the management of patients with non-insulin treated diabetes: open parallel group randomised trial. BMJ 2007;335:132-9.

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  • Premisecitation

    Reporting of complex intervention studies has historically been inadequate.

    “This has been a weakness of the reporting of complex intervention studies in the past, 34”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [34] 34. Glasziou P, Meats E, Heneghan C, Shepperd S. What is missing from descriptions of treatments in trials and reviews? BMJ 2008;336:1472-4.

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  • May combine two claims. 11
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  • May combine two claims.

    Findingcitation

    A modelling study conducted before a falls prevention trial in older people indicated that the planned screening and referral system was very unlikely to be cost-effective, which led to a decision not to proceed with the trial.

    “A modelling exercise to prepare for a trial of falls prevention in elderly people showed that the proposed system of screening and referral was highly unlikely to be cost effective and informed the decision not to proceed with the trial.17”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [17] 17. Eldridge S, Spencer A, Cryer C, Pearsons S, Underwood M, Feder G. Why modelling a complex intervention is an important precursor to trial design: lessons from studying an intervention to reduce falls-related injuries in elderly people. J Health Services Res Policy 2005;10:133-42.

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  • May combine two claims.

    Findingcitation

    Pilot work for a free home insulation trial indicated that attrition could be high, prompting a design change where control participants received the intervention after the study.

    “Pilot studies for a trial of free home insulation suggested that attrition might be high, so the design was amended such that participants in the control group received the intervention after the study.20”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [20] 20. Howden-Chapman P, Crane J, Matheson A, Viggers H, Cunningham M, Blakely T, et al. Retrofitting houses with insulation to reduce health inequalities: aims and methods of a clustered community-based trial. Soc Sci Med 2005;61:2600-10.

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  • May combine two claims.

    Findingcitation

    An evaluation of a preschool programme for disadvantaged children found improved educational attainment and a variety of economic and social benefits at ages 27 and 40.

    “Evaluation of a preschool programme for disadvantaged children showed that, as well as improved educational attainment, there was a range of economic and social benefits at ages 27 and 40.27”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [27] 27. Wortman PM. An exemplary evaluation of a program that worked: the High/Scope Perry preschool project. Am J Eval 1995;16:257-65.

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  • May combine two claims.

    Findingcitation

    A process evaluation alongside a trial of educational visits to encourage GPs to follow prescribing guidelines found that the visits were well received and guideline recall was good, but prescribing behaviour changed little because of other constraints such as patient preferences and local hospital policy.

    “A process evaluation 28 carried out in connection with a trial of educational visits to encourage general practitioners to follow prescribing guidelines 29 found that the visits were well received and recall of the guidelines was good, yet there was little change in prescribing behaviour, which was constrained by other factors such as patients' preferences and local hospital policy.”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites [28] 28. Nazareth I, Freemantle N, Duggan C, Mason J, Haines A. Evaluation of a complex intervention for changing professional behaviour: the evidence based out reach (EBOR) trial. J Health Services Res Policy 2002;7:230-8.

      Not checked in the free run.

    • cites [29] 29. Freemantle N, Nazareth I, Eccles M, Wood J, Haines A, EBOR Triallists. A randomised controlled trial of the effect of educational outreach by community pharmacists on prescribing in UK general practice. Br J Gen Pract 2002;52:290-5.

      Not checked in the free run.

    • Rests on an assumption: Process evaluations can offer valuable understanding of why an intervention fails, has unexpected consequences, or succeeds and how it can be improved.
  • May combine two claims.

    Findingcitation

    A feasibility study for an adolescent sexual health intervention in rural Zimbabwe determined that the intended classroom-based programme was unsuitable because of cultural norms, teaching styles, and teacher-pupil relationships, so it was replaced with a community-based programme.

    “A feasibility study for an evaluation of an adolescent sexual health intervention in rural Zimbabwe found that the planned classroom based programme was inappropriate, given cultural norms, teaching styles, and relationships between teachers and pupils in the country, and it was replaced by a community based programme.19”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [19] 19. Power R, Langhaug L, Nyamurera T, Wilson D, Bassett M, Cowan F. Developing complex interventions for rigorous evaluation-a case study from rural Zimbabwe. Health Educ Res 2004;19:570-5.

      Not checked in the free run.

  • May combine two claims.

    Findingcitation

    In a school-based health and wellbeing trial, schools used a standardised process to develop strategies suited to them instead of a fixed curriculum, leading to wide variation in practice across schools.

    “In a trial of a school based intervention to promote health and wellbeing, schools were encouraged to use a standardised process to develop strategies which suited them rather than adopt a fixed curriculum, resulting in widely varied practice between schools.32”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [32] 32. Patton G, Bond L, Butler H, Glover S. Changing schools, changing health? Design and implementation of the Gatehouse Project. J Adolesc Health 2003;33:231-9.

      Not checked in the free run.

    • Rests on an assumption: Requiring strict standardisation may be inappropriate.
  • May combine two claims.

    Premisecitation

    Complex intervention ideas come from diverse sources, and this can strongly influence how much freedom researchers have to alter the intervention, affect its implementation, or use an ideal evaluation design.

    “Ideas for complex interventions emerge from various sources, which may greatly affect how much leeway the researcher has to modify the intervention, to influence the way it is implemented, or to adopt an ideal evaluation design.8”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [8] 8. Belsky J, Melhuish E, Barnes J, Leyland AH, Romaniuk H, National Evaluation of Sure Start Research Team. Effects of Sure Start local programmes on children and families: early findings from a quasi-experimental, cross sectional study. BMJ 2006;332:1476-81.

      Not checked in the free run.

  • May combine two claims.

    Premisecitation

    The development and evaluation of a complex intervention involves multiple phases, but these phases may not proceed in a linear or cyclical order.

    “The process of developing and evaluating a complex intervention has several phases, although they may not follow a linear sequence”
    • Also stated in: § Development, evaluation, and implementation · hedged
      “Although it is useful to think in terms of phases, in practice these may not follow a linear or even a cyclical sequence (figure⇓).4”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [4] 4. Campbell NC, Murray E, Darbyshire J, Emery J, Farmer A, Griffiths F, et al. Designing and evaluating complex interventions to improve health care. BMJ 2007;334:455-9.

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Experimental methods are gaining broader acceptance for evaluating policy.

    “Experimental methods are becoming more widely accepted as methods to evaluate policy, 12”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [12] 12. Creegan C, Hedges A. Towards a policy evaluation service: developing infrastructure to support the use of experimental and quasi-experimental methods . London: Ministry of Justice, 2007.

      Not checked in the free run.

  • May combine two claims.

    Premisecitation

    Problems with acceptability, compliance, intervention delivery, recruitment, retention, and smaller-than-expected effect sizes often weaken evaluations, and these issues could have been anticipated through thorough piloting.

    “Evaluations are often undermined by problems of acceptability, compliance, delivery of the intervention, recruitment and retention, and smaller than expected effect sizes that could have been predicted by thorough piloting.18”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [18] 18. Eldridge S, Ashby D, Feder G, Rudnicka AR, Ukoumunne OC. Lessons for cluster randomized trials in the twenty-first century: a systematic review of trials in primary care. Clin Trials 2004;1:80-90.

      Not checked in the free run.

  • Classified as probably not a substantial claim.

    Premisecitation

    Even methods that are not optimal for internal validity, if they are the best available, can produce useful results.

    “the best available methods, even if they are not optimal in terms of internal validity, may yield useful results.14”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [14] 14. Ogilvie D, Mitchell R, Mutrie N, Petticrew M, Platt S. Evaluating health effects of transport interventions: methodologic case study. Am J Prev Med 2006;31:118-26.

      Not checked in the free run.

  • May combine two claims.

    Premisecitation

    A process evaluation embedded in a trial can assess implementation fidelity and quality, clarify causal mechanisms, and identify contextual factors linked to outcome variation.

    “A process evaluation nested inside a trial can be used to assess fidelity and quality of implementation, clarify causal mechanisms, and identify contextual factors associated with variation in outcomes.5”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [5] 5. Oakley A, Strange V, Bonell C, Allen E, Stephenson J, Ripple Study Team. Process evaluation in randomised controlled trials of complex interventions. BMJ 2006;332:413-6.

      Not checked in the free run.

    • Rests on an assumption: Process evaluations can offer valuable understanding of why an intervention fails, has unexpected consequences, or succeeds and how it can be improved.
  • May combine two claims.

    Premisecitation

    Randomisation can sometimes be unnecessary and other designs may be better, but observational methods only yield reliable effect estimates under limited conditions.

    “In some circumstances, randomisation may be unnecessary and other designs preferable, 21 22 but the conditions under which observational methods can yield reliable estimates of effect are limited (box 4).23”
    Quote in the paperSubstantial claim0 of 3 sources checked
    • cites [21] 21. Black N. Why we need observational studies to evaluate the effectiveness of health care. BMJ 1996;312:1215-8.

      Not checked in the free run.

    • cites [22] 22. Glasziou P, Chalmers I, Rawlins M, McCulloch P. When are randomised trials unnecessary? Picking signal from noise. BMJ 2007;334:349-51.

      Not checked in the free run.

    • cites [23] 23. MacMahon S, Collins R. Reliable assessment of the effects of treatment on mortality and major morbidity. II. observational studies. Lancet 2001;357:455-62.

      Not checked in the free run.

    • Rests on an assumption: Randomisation may be unnecessary when intervention effects are very large or immediate, making confounding or underlying trends unlikely explanations.
  • Probably not a substantial claim: may not pass S2 (checkable).

    Premisecitation

    Complex interventions may be most effective when adapted to local circumstances rather than fully standardised.

    “Complex interventions may work best if tailored to local circumstances rather than being completely standardised”
    • Also stated in: § Abstract · hedged
      “recognition that complex interventions may work best if they are tailored to local contexts rather than completely standardised, 6”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [6] 6. Campbell M, Donner A, Klar N. Developments in cluster randomised trials and Statistics in Medicine. Stat Med 2007;26:2-19.

      Not checked in the free run.

    • Rests on an assumption: Requiring strict standardisation may be inappropriate.
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning

    The existence of comprehensive reporting guidelines covering non-drug trials and observational studies, accessible via a single website, should improve reporting.

    “but the availability of a comprehensive range of reporting guidelines, now covering non-drug trials 35 and observational studies 36 and accessible through a single website (www.equator-network.org)should lead to improvement.”
    Quote in the paperNot a substantial claim0 of 3 sources checked
    • cites [33] 33. Abraham C, Michie S. A taxonomy of behavior change techniques used in interventions. Health Psychol 2008;27:379-87.

      Not checked in the free run.

    • cites [35] 35. Boutron I, Moher D, Altman D, Scultz K, Ravaud P. Extending the CONSORT statement to randomized trials of non-pharmacologic treatment: explanation and elaboration. Ann Int Med 2008;148:295-309.

      Not checked in the free run.

    • cites [36] 36. Von Elm E, Altman D, Egger M, Pocock SJ, Gotzsche P, Vandenbroucke JP, et al. Strengthening the reporting of observational studies in epidemiology (STROBE) statement: guidelines for reporting observational studies. BMJ 2007;335:806-8. RESEARCH METHODS & REPORTING on 10 July 2023 by guest. Protected by copyright. http://www.bmj.com/ BMJ: first published as 10.1136/bmj.a1655 on 29 September 2008. Downloaded from

      Not checked in the free run.

    • Rests on an assumption: Because implementation varies, full reporting of process and outcome evaluations and a clear intervention description are important for replication and evidence synthesis.
15 of 15
  • The paper relies on this without support.

    Randomisation is the most robust way to prevent selection bias.

    “Randomisation should always be considered because it is the most robust method of preventing selection bias.”
  • The paper relies on this without support.

    Experimental designs are generally preferred over observational designs, though they are not always feasible.

    “Experimental designs are preferred to observational designs in most circumstances, but are not always practicable”
  • The paper relies on this without support.

    Understanding processes is valuable but cannot replace outcome evaluation.

    “Understanding processes is important but does not replace evaluation of outcomes”
  • The paper relies on this without support.

    A lack of effect might indicate implementation failure rather than true ineffectiveness.

    “Lack of effect may reflect implementation failure (or teething problems) rather than genuine ineffectiveness”
  • The paper relies on this without support.

    Variation in individual outcomes may stem from higher-level processes.

    “Variability in individual level outcomes may reflect higher level processes”
  • The paper relies on this without support.

    Using a single primary outcome may not be the best use of data.

    “A single primary outcome may not make best use of the data”
  • The paper relies on this without support.

    Requiring strict standardisation may be inappropriate.

    “Ensuring strict standardisation may be inappropriate”
  • The paper relies on this without support.

    Randomisation may be unnecessary when intervention effects are very large or immediate, making confounding or underlying trends unlikely explanations.

    “Randomisation may be unnecessary if the effects of the intervention are so large or immediate that confounding or underlying trends are unlikely to explain differences in outcomes before and after exposure.”
  • The paper relies on this without support.

    Post-hoc adjustment is inferior, and its effectiveness is limited by measurement error in confounders and by unknown or unmeasured confounders.

    “Post-hoc adjustment is a second best solution; its effectiveness is limited by errors in the measurement of the confounding variables and the difficulty of dealing with unknown or unmeasured confounders”
  • The paper relies on this without support.

    Randomisation may be impractical when the intervention is already widely used or when key implementation decisions have already been made.

    “Randomisation may be impractical if the intervention is already in widespread use, or if key decisions about how it will be implemented have already been taken”
  • The paper relies on this without support.

    There is no clear dividing line between simple and complex interventions.

    “There is no sharp boundary between simple and complex interventions.”
  • The paper relies on this without support.

    Evaluation occurs in diverse settings that restrict researchers' choices of interventions and evaluation methods.

    “In practice, evaluation takes place in a wide range of settings that constrain researchers' choice of interventions to evaluate and their choice of evaluation methods.”
  • The paper relies on this without support.

    Modelling a complex intervention before a full-scale evaluation can yield important information for designing both the intervention and the evaluation.

    “Modelling a complex intervention before a full scale evaluation can provide important information about the design of both the intervention and the evaluation.”
  • The paper relies on this without support.

    When an intervention is rolled out more widely, effects may be smaller or more variable and response rates may be lower.

    “Effects may be smaller or more variable and response rates lower when the intervention is rolled out across a wider range of settings.”
  • The paper relies on this without support.

    Process evaluations can offer valuable understanding of why an intervention fails, has unexpected consequences, or succeeds and how it can be improved.

    “Process evaluations, which explore the way in which the intervention under study is implemented, can provide valuable insight into why an intervention fails or has unexpected consequences, or why a successful intervention works and how it can be optimised.”
  • The paper relies on this without support.

    Process evaluation does not replace outcome evaluation.

    “However, it is not a substitute for evaluation of outcomes.”
  • The paper relies on this without support.

    Because implementation varies, full reporting of process and outcome evaluations and a clear intervention description are important for replication and evidence synthesis.

    “Variability in implementation, preplanned or otherwise, makes it important that both process and outcome evaluations are reported fully and that a clear description of the intervention is provided to enable replication and synthesis of evidence.33”
  • The paper relies on this without support.

    A solid theoretical understanding of how the intervention produces change is necessary to identify and strengthen weak links in the causal chain.

    “A good theoretical understanding is needed of how the intervention causes change, so that weak links in the causal chain can be identified and strengthened”
18 of 18

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?

  • Complex interventions containing several interacting components may work best if tailored to individual circumstances.

    “Complex interventions containing several interacting components may work best if tailored to individual circumstances,39”

    From Coached, Coordinated, Enhanced Neonatal Transition (CCENT): Protocol for a multicentre pragmatic randomised controlled trial of transition-to-home support for parents of high-risk infants (2021) · cites this paper as [39]

    The paper describes complex interventions as having several interacting components (What are complex interventions?) and says they may work best when tailored to local circumstances (Conclusions; Box 2). It discusses adaptation to settings, not tailoring to an individual's circumstances, so that part of the claim is not supported. (LLM, conf=0.88)

    Experimental — accuracy not yet measured
  • Almost all changes to practice in primary care involve complex interventions, i.e. interventions with multiple interconnecting components.

    “Almost all changes to practice in primary care involve “complex interventions”, i.e. interventions with multiple interconnecting components [11]”

    From Achieving change in primary care—causes of the evidence to practice gap: systematic reviews of reviews (2015) · cites this paper as [11]

    In “What are complex interventions?” (page not given), the paper describes complex interventions as having several interacting components and says few interventions are truly simple. It does not establish that almost all changes to practice specifically in primary care are complex interventions. (LLM, conf=0.83)

    Experimental — accuracy not yet measured
  • Recent research into digital health intervention development highlights the importance of an iterative, multidisciplinary approach in which the end user is placed at the heart of the system and the technology is grounded in user wants and needs.

    “Recent research into digital health intervention development highlights the importance of an iterative, multidisciplinary approach in which the end user is placed at the heart of the system and the technology is grounded in user wants and needs [45-47].”

    From British South Asian Patients’ Perspectives on the Relevance and Acceptability of Mobile Health Text Messaging to Support Medication Adherence for Type 2 Diabetes: Qualitative Study (2020) · cites this paper as [46]

    The Development, evaluation, and implementation section (page not available) recommends phased testing, while Developing a complex intervention (page not available) describes progressively refining a design. These passages support iterative development, but the paper does not establish the claim about digital health technology, multidisciplinary development, or placing end users’ wants and needs at its centre. (LLM, conf=0.87)

    Experimental — accuracy not yet measured
  • Given the complexity and multifactorial nature of adherence, interventions aimed at improving adherence to inhaled therapies are likely to be complex, or contain several interacting components (Craig 2008).

    “Given the complexity and multifactorial nature of adherence, interventions aimed at improving adherence to inhaled therapies are likely to be complex, or contain several interacting components (Craig 2008).”

    From Psychological interventions for improving adherence to inhaled therapies in people with cystic fibrosis (2023) · cites this paper as Craig 2008

    The paper’s ‘What are complex interventions?’ discussion defines complex interventions as containing several interacting components, and Box 1 lists features that contribute to complexity. It does not address adherence to inhaled therapies or establish that interventions targeting it are likely to be complex; that application is the citing authors’ inference. Page numbers are unavailable in our copy. (LLM, conf=0.84)

    Experimental — accuracy not yet measured
  • When developing a complex intervention, a theoretical understanding of the likely processes eliciting behavior change should be explored.

    “When developing a complex intervention, it is recommended that a theoretical understanding of the likely processes eliciting behavior change be explored”

Cites

Flagged first, then by citations

1 of the 44 references couldn’t be matched to a known paper.

Research works printed but not linked: 1

  1. [15]15. For personal use only: See rights and reprints http://www.bmj.com/permissions Subscribe: http://www.bmj.com/subscribe 15 Academy of Medical Sciences. Identifying the environmental causes of disease: how should we decide what to believe and when to take action ? London: Academy of Medical Sciences, 2007.

Cited by

Sorted by citations

Authors
Craig, P., Dieppe, P., Macintyre, S., Michie, S., Nazareth, I., & Petticrew, M.
Affiliations
  • Medical Research Council (GB)
  • Nuffield Orthopaedic Centre (GB)
  • MRC/CSO Social and Public Health Sciences Unit (GB)
  • University College London (GB)
  • London School of Hygiene & Tropical Medicine (GB)
Corresponding author
Craig, Peter
Venue
BMJ
Publisher
BMJ
Published
2008-09-29
Volume
337
Issue
5
Pages
a1655
ISSN
1756-1833 (ISSN-L)
OpenAlex
W2162544110
Cited by
10,995
References
44
Citations by year
2026: 284 · 2025: 437 · 2024: 626 · 2023: 693 · 2022: 950 · 2021: 1178 · 2020: 1109 · 2019: 902 · 2018: 868 · 2017: 792 · 2016: 666 · 2015: 622 · 2014: 530 · 2013: 433 · 2012: 341
FWCI
352.22
Type
journal article
Language
en
Open access
Locations
  • BMJ (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • Figshare (publishedVersion)
  • Open Research Exeter (University of Exeter) (publishedVersion)
  • ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (acceptedVersion)
  • LSHTM Research Online (London School of Hygiene and Tropical Medicine) (acceptedVersion)
  • UCL Discovery (University College London) (submittedVersion)
Topics
  • Health Sciences › Health Professions › General Health Professions › Health Policy Implementation Science
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Evaluation and Performance Assessment
  • Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
Keywords
complex interventions, intervention development, MRC framework, evaluation framework, research guidance
MeSH terms
Diffusion of Innovation, Evaluation Studies as Topic, Therapeutics, Practice Guidelines as Topic, Evidence-Based Medicine

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