Web-Based Interventions for Behavior Change and Self-Management: Potential, Pitfalls, and Progress
Open accessAbstract
The potential advantages of using the Internet to deliver self-care and behavior-change programs are well recognized. An aging population combined with the increasing prevalence of long-term conditions and more effective medical interventions place financial strain on all health care systems. Web-based interventions have the potential to combine the tailored approach of face-to-face interventions with the scalability of public health interventions that have low marginal costs per additional user. From a patient perspective, Web-based interventions can be highly attractive because they are convenient, easily accessible, and can maintain anonymity/privacy. Recognition of this potential has led to research in developing and evaluating Web-based interventions for self-management of long-term conditions and behavior change. Numerous systematic reviews have confirmed the effectiveness of some Web-based interventions, but a number of unanswered questions still remain. This paper reviews the progress made in developing and evaluating Web-based interventions and considers three challenging areas: equity, effectiveness, and implementation. The impact of Web-based interventions on health inequalities remains unclear. Although some have argued that such interventions can increase access to underserved communities, there is evidence to suggest that reliance on Web-based interventions may exacerbate health inequalities by excluding those on the "wrong" side of the digital divide. Although most systematic reviews have found a positive effect on outcomes of interest, effect sizes tend to be small and not all interventions are successful. Further work is needed to determine why some interventions work and others do not. This includes considering the "active ingredients" or mechanism of action of these complex interventions and the context in which they are used. Are there certain demographic, psychological, or clinical factors that promote or inhibit success? Are some behaviors or some clinical problems more amenable to change by computer-based interventions? Equally problematic is the issue of implementation and integration of such programs into routine clinical practice. Many eHealth projects end when the research is concluded and fail to become part of mainstream clinical care. One way of addressing these challenges is to apply the Medical Research Council framework for developing, evaluating, and implementing complex interventions. This includes having a strong theoretical foundation, developing a proposed mechanism or pathway of action, ensuring that the evaluation adequately reflects this proposed pathway, and considering implementation from the beginning of the development process.
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Written from the paper’s full text.
TL;DR
This narrative review examines the potential, pitfalls, and progress of Web-based interventions for behavior change and self-management, focusing on three unresolved challenges: equity, effectiveness, and implementation. It argues that applying the Medical Research Council framework for complex interventions, together with greater use of theory, could help realize the field's potential.
Key findings
- Web-based interventions have potential advantages in reach, accessibility, tailoring, and low marginal cost per user, but effect sizes in systematic reviews "tend to be small and not all interventions are successful."
- Equity is unresolved: Internet penetration in 2011 was 11% in Africa, 24% in Asia, and 36% in Latin America/Caribbean; within the UK, access was 99% among households earning ≥£40,000 versus 43% at ≤£12,500, 95% among university graduates versus 31% among those who left school without graduating, <40% among those aged 65+, and 41% among those with work-limiting health problems or disabilities.
- Effectiveness varies by outcome: reviews support effects for smoking cessation, alcohol reduction, safer sex, and physical activity, but a UK HTA review found little or no impact of adaptive e-learning on dietary behaviors and no impact on weight loss or BMI; CCBT is effective across mild-to-moderate depression, anxiety, OCD, and phobias, whereas non-CCBT emotional interventions (social networks, personal stories) lack robust evidence of benefit or harm.
- A meta-analysis of ~85 studies covering >45,000 participants found that more extensive use of theory (particularly the Theory of Planned Behavior) and certain behavior-change techniques (eg, stress management, goal setting, action planning) were associated with larger effect sizes.
Methods
- Design: narrative review/commentary, not a systematic review; no search strategy, inclusion criteria, or formal synthesis method is reported.
- Scope: synthesizes existing systematic reviews, meta-analyses, and trials across self-management of long-term conditions, health promotion, and mental health, plus policy and implementation literature.
- Analysis: thematic discussion organized around equity, effectiveness (cognitive, behavioral, emotional outcomes, mechanism of action, cost-effectiveness), and implementation, with recommendations framed by the MRC complex interventions framework and normalization process theory.
Limitations
- The paper states that a number of unanswered questions remain, including why some interventions work and others do not, what the "active ingredients" and effective dose are, and which demographic, psychological, or clinical factors promote or inhibit success; data on user characteristics and adherence are described as "confusing and contradictory."
- The paper states there is a paucity of data on actual cost-effectiveness of Internet interventions and a paucity of comparative data on online peer-support services.
- Evident from the text (not framed as a limitation by the author): this is a single-author narrative review without a documented systematic search or quality appraisal, so selection of cited evidence may be non-exhaustive and subject to author perspective.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
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Cites
Statistics
Claims the paper makes
0 of 120 cited sources checked · 0 supported · 0 flagged
- Findingown data
Our own research on Web-based interventions supports concerns about equity, with disproportionately high numbers of users having a university degree.
“Our own research on Web-based interventions supports these concerns about equity, with disproportionately high numbers of users having a university degree [29,30].”
Quote in the paperSubstantial claim0 of 2 sources checked - Interpretationreasoning
Outside of carefully designed and executed studies, there is evidence that Web-based interventions tend to be used by more advantaged groups.
“Unfortunately, outside of these carefully designed and executed studies, there is evidence that Web-based interventions tend to be used by more advantaged groups.”
Quote in the paperSubstantial claim - Interpretationnone given
The use of multimedia allows complex information to be presented in a simple format comprehensible even to those with low literacy skills.
“Moreover, the use of multimedia (eg, video, audio, and graphics) allows complex information to be presented in a simple format comprehensible even to those with low literacy skills.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Those with the most need have the least access.
“In other words, those with the most need have the least access.”
Quote in the paperSubstantial claim - Interpretationnone given
Many eHealth projects end when the research is concluded and fail to become part of mainstream clinical care.
“Many eHealth projects end when the research is concluded and fail to become part of mainstream clinical care.”
- Also stated in: § Cost-Effectiveness and Implementation · plain
“many interventions have not been widely disseminated.”
Quote in the paperNot a substantial claim - Also stated in: § Cost-Effectiveness and Implementation · plain
- Premisecitation
Access to the Internet increases with income and education.
“Access to the Internet increases with income and education.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [28] source
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- Interpretationcitation
Web-based interventions can improve knowledge.
“Web-based interventions can improve knowledge.”
- Also stated in: § Cognitive Outcomes · boosted
“there have been a number of systematic reviews and meta-analyses that have demonstrated improvements in knowledge in users of Web-based interventions [31,34].”
Quote in the paperSubstantial claim0 of 2 sources checked - Also stated in: § Cognitive Outcomes · boosted
- Premisecitation
There are considerable inequities in access to the Internet, both between and within countries.
“Looking first at the relatively simple question of access to the Internet, it is clear that there are considerable inequities in access, both between and within countries.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [15] Internet World Stats: Usage and Population Statistics201112312012-08-11Internet usage statistics: the Internet big picturehttp://www.internetworldstats.com/stats.htm69q5RTCsT
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- Interpretationreasoning
Web-based interventions can combine the tailored approach of face-to-face interventions with the scalability of public health interventions that have low marginal costs per additional user.
“Web-based interventions have the potential to combine the tailored approach of face-to-face interventions with the scalability of public health interventions that have low marginal costs per additional user.”
- Also stated in: § Potential · hedged
“Delivering behavior change interventions over the Internet is appealing because this could combine the scalability of public health interventions with the effectiveness of personalized, individually tailored interventions.”
Quote in the paperSubstantial claim - Also stated in: § Potential · hedged
- Interpretationcitation
Reliance on Web-based interventions may exacerbate health inequalities by excluding those on the "wrong" side of the digital divide.
“there is evidence to suggest that reliance on Web-based interventions may exacerbate health inequalities by excluding those on the “wrong” side of the digital divide.”
- Also stated in: § Equity · hedged
“An alternative view is that widespread use of Web-based interventions will widen health inequalities between those on either side of the “digital divide” [21].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [21] Eng, TR, 1998, JAMA source
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- Also stated in: § Equity · hedged
- Premisecitation
A small change across a large population can have a significant impact on public health.
“From a public health perspective, a small change across a large population can have a significant impact on public health [35].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [35] Rose, G, 1985, Int J Epidemiol source
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- Premisecitation
For people with long-term conditions, the goal of behavior change tends not to be an end in itself, but rather as a step toward improved clinical outcomes.
“For this population, the goal of behavior change tends not to be an end in itself, but rather as a step toward improved clinical outcomes [31].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [31] source
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- Interpretationcitation
Web-based interventions may reduce health inequalities by improving access to services, for example delivery of online CBT enables rural patients access to therapy.
“Web-based interventions may also reduce health inequalities by improving access to services. One example is the provision of mental health services in Australia. Patients in sparsely populated rural areas find it difficult to access therapists trained in cognitive behavioral therapy (CBT); delivery of online CBT, with or without email support from a therapist, enables these rural patients access”
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- Interpretationreasoning
If the problems of access and accessibility are both addressed, Web-based interventions have the potential to reach and to benefit socioeconomically deprived people.
“These studies demonstrate that if the problems of access and accessibility are both addressed, Web-based interventions have the potential to reach and to benefit socioeconomically deprived people.”
Quote in the paperSubstantial claim - Interpretationcitation
Systematic reviews and meta-analyses of Web-based interventions for specific behaviors including smoking cessation, reducing alcohol consumption, safer sexual behaviors, and increasing physical activity have positive findings, even if effect sizes tend to be small.
“Hence, the positive findings of that numerous systematic reviews and meta-analyses of the effects of Web-based interventions for specific behaviors including smoking cessation [36], reducing alcohol consumption [37], safer sexual behaviors [34], and increasing physical activity [38] are reassuring even if the effect sizes tend to be small.”
Quote in the paperSubstantial claim0 of 3 sources checked - Interpretationcitation
The data on Web-based interventions for people with long-term conditions is less positive.
“Although these findings are reassuring at a population level and may support the use of Web-based interventions for health promotion, the data on Web-based interventions for people with long-term conditions is less positive.”
Quote in the paperSubstantial claim - Interpretationcitation
Because the main costs of Internet interventions tend to be incurred during the development phase and the marginal cost per additional user tends to be low, they have the potential to be highly cost-effective, particularly when used by large numbers of people.
“Finally, because the main costs of Internet interventions tend to be incurred during the development phase and the marginal cost per additional user tends to be low, they have the potential to be highly cost-effective, particularly when used by large numbers of people [16,17].”
Quote in the paperNot a substantial claim0 of 2 sources checked - Interpretationcitation
Accessibility could be affected by user levels of literacy and health literacy.
“One factor will be user levels of literacy and health literacy, in which health literacy is defined as the ability of individuals to gain access to, understand, and use information for health [23].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [23] source
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- Interpretationcitation
Some, but not all, Web-based interventions have a positive impact on mediators of behavior change such as intention and self-efficacy.
“There are also data suggesting that some, but not all, Web-based interventions have a positive impact on mediators of behavior change such as intention and self-efficacy [34].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [34] source
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- Premisecitation
Improvements in emotional and behavioral outcomes are likely to lead to improvements in clinical outcomes and/or well-being.
“Improvements in emotional and behavioral outcomes are likely to lead to improvements in clinical outcomes and/or well-being [31].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [31] source
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- Premisecitation
A recent large systematic review and meta-analysis of Web-based behavior-change interventions included approximately 85 studies covering more than 45,000 participants.
“The review included approximately 85 studies covering more than 45,000 participants.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [41] source
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- Interpretationcitation
Interventions based on CCBT have been shown to be acceptable, effective, and cost-effective across a range of mental health problems including mild to moderate depression, anxiety, obsessive-compulsive disorder, and phobias.
“Interventions based on CCBT have been shown to be acceptable, effective, and cost-effective across a range of mental health problems including mild to moderate depression, anxiety, obsessive-compulsive disorder, and phobias [48-54].”
Quote in the paperSubstantial claim0 of 7 sources checked- cites [48] Kaltenthaler, E, 2006, Health Technol Assess source
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- cites [49] source
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- cites [51] source
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- cites [52] source
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- cites [53] source
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- cites [54] source
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- Interpretationnone given
Systematic reviews of Web-based interventions make it apparent that some interventions work better than others do.
“Systematic reviews of Web-based interventions make it apparent that some interventions work better than others do.”
Quote in the paperNot a substantial claim - Interpretationnone given
Adherence to any specified intervention may be related to characteristics of the intervention, characteristics of the user, or characteristics of the condition addressed by the intervention.
“Adherence to any specified intervention may be related to characteristics of the intervention, characteristics of the user, or characteristics of the condition addressed by the intervention.”
Quote in the paperNot a substantial claim - Interpretationcitation
Web-based interventions with a theoretical foundation are more likely to be effective than those without.
“Focusing on content and delivery of interventions suggests that those with a theoretical foundation are more likely to be effective than those without [41,62].”
Quote in the paperSubstantial claim0 of 2 sources checked - Interpretationcitation
More extensive use of theory (particularly the Theory of Planned Behavior) and certain behavior-change techniques (eg, stress management, goal setting, and action planning) were associated with larger effect sizes in Web-based behavior-change interventions.
“From this analysis, they were able to conclude that more extensive use of theory (particularly the Theory of Planned Behavior) and certain behavior-change techniques (eg, stress management, goal setting, and action planning) were associated with larger effect sizes [41].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [41] source
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- Interpretationnone given
Interventions offering CCBT appear to have a good chance of being effective across a range of physical and mental health problems known to respond to face-to-face CBT.
“Interventions offering CCBT appear to have a good chance of being effective across a range of physical and mental health problems known to respond to face-to-face CBT.”
Quote in the paperNot a substantial claim - Interpretationcitation
Among target behaviors, weight loss seems particularly difficult to achieve with Web-based interventions.
“Among target behaviors, weight loss seems particularly difficult to achieve with Web-based interventions [39].”
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- Interpretationcitation
The research to date has failed to identify evidence of benefit (or harm) to users of online peer-support services.
“Unfortunately, the research to date has failed to identify evidence of benefit (or harm) to users of online peer-support services.”
Quote in the paperSubstantial claim0 of 3 sources checked - Interpretationcitation
These difficulties have continued despite the considerable literature available about implementing eHealth systems and the growing awareness of the importance of a sociotechnical approach.
“These difficulties have continued despite the considerable literature available about implementing eHealth systems and the growing awareness of the importance of a sociotechnical approach [86,87].”
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- cites [87] MairFMayCMurrayEFinchTO'DonnellCAndersonGNIHR Health Services and Delivery Research programme2009092012-08-11Understanding the implementation and integration of e-Health Serviceshttp://www.netscc.ac.uk/hsdr/projdetails.php?ref=08-1602-13569q62muv2
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- Interpretationnone given
Web-based interventions not based on CCBT that are aimed at improving emotional outcomes have been less successful.
“Web-based interventions not based on CCBT that are aimed at improving emotional outcomes have been less successful.”
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Behavior-change interventions that do not use CBT techniques can also be effective.
“Behavior-change interventions that do not use CBT techniques can also be effective.”
Quote in the paperNot a substantial claim - Interpretationcitation
Unsupported use of a Web-based intervention requires a fairly high degree of motivation and critical health literacy on the part of the user.
“it seems likely that unsupported use of a Web-based intervention requires a fairly high degree of motivation and critical health literacy [61] on the part of the user.”
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- Interpretationcitation
Authors of systematic reviews in this field have highlighted the paucity of comparative data, making it difficult to draw any robust conclusions about the impact of such interventions.
“Authors of systematic reviews in this field have highlighted the paucity of comparative data, making it difficult to draw any robust conclusions about the impact of such interventions [58-60].”
Quote in the paperNot a substantial claim0 of 3 sources checked - Premisecitation
NPT has been used to explain the success or failure of a range of eHealth implementations.
“NPT has been used to explain the success or failure of a range of eHealth implementations [115-117]”
Quote in the paperNot a substantial claim0 of 3 sources checked - Interpretationnone given
The main cost-benefits of Web-based interventions tend to be achieved with large numbers of users.
“As we have seen previously, the main cost-benefits of such interventions tend to be achieved with large numbers of users.”
Quote in the paperNot a substantial claim - Premisecitation
The MRC framework emphasizes the need for formative and pilot studies during the development of a complex intervention.
“The MRC framework emphasizes the need for formative and pilot studies during the development of a complex intervention.”
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Difficulties in eHealth implementation are international phenomena, with similar problems being widely reported.
“Difficulties in eHealth implementation are international phenomena, with similar problems being widely reported [102-105].”
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There is empirical support for NPT's use as an explanatory model.
“and there is empirical support for its use as an explanatory model [118].”
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- Premisecitation
Once a new practice has become normalized or taken for granted, it is so embedded into routine practice that it requires relatively little effort to sustain its use.
“Once a new practice has become normalized or taken for granted, it is so embedded into routine practice that it requires relatively little effort to sustain its use [114].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [114] May, C, 2009, Sociology source
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- Rests on an assumption: Normalization is important for sustainability.
- Interpretationcitation
This appears to be changing as newer studies include cost-effectiveness data.
“Fortunately, this appears to be changing as newer studies include cost-effectiveness data [88,89].”
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- cites [89] Rasu, RS, 2010, Am J Manag Care
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- Interpretationcitation
Such support may be associated with improved outcomes for some conditions.
“Such support may be associated with improved outcomes for some conditions [51,100,101].”
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Most Web-based interventions are complex interventions.
“Most Web-based interventions are complex interventions (ie, interventions that are made up of a number of components that may act independently or interdependently).”
Quote in the paperNot a substantial claim - Premisecitation
The NPT toolkit has been developed to help researchers consider implementation issues from the early stages of developing and evaluating complex interventions.
“To this end, the NPT toolkit (www.normalizationprocess.org) has been developed to help researchers consider implementation issues from the early stages of developing and evaluating complex interventions [119].”
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- May combine two claims. 38
- Classified as probably not a substantial claim. 36
- The quote only partly states this claim. 1
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Interpretationnone givenMost systematic reviews have found a positive effect on outcomes of interest, but effect sizes tend to be small and not all interventions are successful.
“Although most systematic reviews have found a positive effect on outcomes of interest, effect sizes tend to be small and not all interventions are successful.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationInternet penetration in Africa was estimated at 11%, 24% in Asia, and 36% in Latin America and the Caribbean in 2011.
“Internet penetration in Africa was estimated at 11%, 24% in Asia, and 36% in Latin America and the Caribbean in 2011 [15].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [15] Internet World Stats: Usage and Population Statistics201112312012-08-11Internet usage statistics: the Internet big picturehttp://www.internetworldstats.com/stats.htm69q5RTCsT
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Classified as probably not a substantial claim.
InterpretationreasoningWeb-based interventions could have two opposing impacts on health inequalities.
“Web-based interventions could have two opposing impacts on health inequalities.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Interpretationnone givenThe behaviors of interest tend to be the same across healthy and unwell populations (healthy eating, physical activity, smoking cessation, moderating alcohol consumption, and practicing safer sex), but the levels of motivation may differ.
“The behaviors of interest tend to be the same across both populations (ie, healthy eating, physical activity, smoking cessation, moderating alcohol consumption, and practicing safer sex), but the levels of motivation may differ.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Interpretationnone givenInteractivity is a major advantage of the Internet, both for users interacting with websites and entering personal information that allows tailoring, and for users interacting with one another through the Web.
“Interactivity is a major advantage of the Internet, both for users interacting with websites and entering personal information that allows the site to tailor the information or services offered to that specific user, and for users interacting with one another through the Web.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationIn 2011, Internet access among those aged 65 or over was <40%, and among those with health problems or disabilities that limited work, access was 41%.
“In 2011, Internet access among those aged 65 or over was <40%, and among those with health problems or disabilities that limited the kind or amount of work able to be done, access was 41% [28].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [28] source
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Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Interpretationnone givenFrom a patient perspective, Web-based interventions can be highly attractive because they are convenient, easily accessible, and can maintain anonymity/privacy.
“From a patient perspective, Web-based interventions can be highly attractive because they are convenient, easily accessible, and can maintain anonymity/privacy.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone givenMany of the potential benefits of Web-based interventions have yet to be realized.
“Many of these potential benefits have yet to be realized.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based). May combine two claims.
Interpretationnone givenAn almost unlimited amount of information can be stored on the Web, yet it can be presented in an accessible and comprehensible format, in bite-size chunks, using video, graphics, and audio, and is available at the moment of need.
“An almost unlimited amount of information can be stored on the Web, yet it can be presented in an accessible and comprehensible format, in bite-size chunks, using video, graphics, and audio, and is available at the moment of need.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationcitationInitial results of CCBT for somatic problems are promising, but many of the trials have been relatively small.
“Although initial results are promising, further work is needed because many of the trials have been relatively small [44-47].”
Quote in the paperNot a substantial claim0 of 4 sources checkedProbably not a substantial claim: may not pass S4 (based).
Interpretationnone givenNumerous systematic reviews have confirmed the effectiveness of some Web-based interventions.
“Numerous systematic reviews have confirmed the effectiveness of some Web-based interventions, but a number of unanswered questions still remain.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationExternal constraints that may prevent health-promoting activities include poor housing, poor working conditions, and poverty.
“External constraints that may prevent health-promoting activities include poor housing, poor working conditions, and poverty [24].”
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May combine two claims.
PremisecitationOlder people and people with disabilities or long-term illnesses are less likely to have Internet access.
“Of greater concern, older people and people with disabilities or long-term illnesses are less likely to have Internet access.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [28] source
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PremisecitationIn 2011, Internet access among people with household incomes of £40,000 or more was 99%, whereas it was only 43% among people with household incomes of £12,500 or less.
“In 2011, Internet access among people with household incomes of £40,000 or more was 99%, whereas it was only 43% among people with household incomes of £12,500 or less (half the national median income).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [28] source
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May combine two claims.
InterpretationreasoningAccess is necessary-but not sufficient-for benefiting from Web-based interventions.
“Moreover, access is necessary—but not sufficient—for benefiting from Web-based interventions.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationAmong people with a university degree, Internet access was 95%, whereas access was only 31% for those who left school without graduating.
“Similarly, among people with a university degree, access was 95%, whereas access was only 31% for those people who left school without graduating.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [28] source
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PremisecitationSome researchers have demonstrated that Internet interventions can be used by and can benefit severely disadvantaged groups, including homeless drug users, single teenage mothers, and vulnerable elderly people.
“Some researchers have undertaken impressive work, demonstrating that Internet interventions can be used by and can benefit severely disadvantaged groups, including homeless drug users [25], single teenage mothers [26], and vulnerable elderly people [27].”
Quote in the paperSubstantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationComputerized cognitive behavioral therapy (CCBT) was first developed for use with people experiencing mental health problems such as depression and anxiety.
“An alternative approach has been the use of computerized cognitive behavioral therapy (CCBT), which was first developed for use with people experiencing mental health problems such as depression and anxiety [42,43].”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
PremisecitationThe Internet is now widely available in the developed world, with more than 90% penetration in Sweden, approximately 80% penetration in the United Kingdom, Australia, and the United States, and approximately 60% in Europe as a whole.
“The Internet is now widely available in the developed world, with more than 90% penetration in Sweden, approximately 80% penetration in the United Kingdom, Australia, and the United States, and approximately 60% in Europe as a whole [15].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [15] Internet World Stats: Usage and Population Statistics201112312012-08-11Internet usage statistics: the Internet big picturehttp://www.internetworldstats.com/stats.htm69q5RTCsT
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InterpretationcitationChanging dietary behaviors appears to be more challenging, with a recent systematic review for the UK Health Technology Agency finding little or no impact of adaptive e-learning technologies across a wide range of dietary behaviors and no impact on weight loss or body mass index.
“Changing dietary behaviors appears to be more challenging, with a recent systematic review for the UK Health Technology Agency finding little or no impact of adaptive e-learning technologies across a wide range of dietary behaviors and no impact on weight loss or body mass index [39].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [39] source
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InterpretationcitationAlthough small changes in behavioral outcomes have been demonstrated for people with long-term conditions, these have not converted into improved clinical outcomes.
“Although small changes in behavioral outcomes have been demonstrated, these have not converted into improved clinical outcomes [31].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [31] source
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
InterpretationreasoningThese two forms of interactivity can be used to provide formal behavior change support, decision support, and peer support.
“These two forms of interactivity can be used to provide formal behavior change support, decision support, and peer support.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
InterpretationreasoningThe impact of Web-based interventions on health inequalities remains unclear.
“The impact of Web-based interventions on health inequalities remains unclear.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
InterpretationreasoningInternal, or psychological, constraints (eg, low self-efficacy or an external locus of control) may also play a part in preventing users from acting on information.
“Internal, or psychological, constraints (eg, low self-efficacy or an external locus of control) may also play a part.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone givenThe motivation of people with a long-term condition differs from those without a diagnosis of a health problem because the need for change is both more immediate and more personal.
“It can be postulated that the motivation of people with a long-term condition differs from those without a diagnosis of a health problem because the need for change is both more immediate and more personal.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationcitationCharacteristics of the intervention that may improve adherence include a strong theoretical foundation, perceived personal relevance, perceived effectiveness, tailoring, persuasive technologies, credibility, social networking, and regular "push factors" including human support and/or periodic prompts.
“Characteristics of the intervention that may improve adherence to the intervention include a strong theoretical foundation [41], perceived personal relevance to the user [65,66], perceived effectiveness [67,68], tailoring [69,70], persuasive technologies [71], credibility [72,73], social networking [74,75], and regular “push factors” including human support [76-78] and/or periodic prompts (eg, by”
Quote in the paperSubstantial claim0 of 6 sources checkedMay combine two claims.
Interpretationnone givenOne way of ensuring an intervention is used by large numbers of people is to integrate it into routine health services, but this has been rarely done to date.
“One way of ensuring an intervention is used by large numbers of people is to integrate it into routine health services, but this has been rarely done to date.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationcitationMany researchers have found that women, older people, and well-educated people are all more likely to demonstrate adherence to Web-based interventions than males, younger people, and less-educated people.
“Although many researchers have found that women, older people, and well-educated people are all more likely to demonstrate adherence to Web-based interventions than males, younger people, and less-educated people [65,66,68,69]”
Quote in the paperNot a substantial claim0 of 4 sources checkedMay combine two claims.
InterpretationcitationAlthough there are some interventions that have been used by very large numbers of people, many interventions have not been widely disseminated.
“Although there are some interventions that have been used by very large numbers of people [82,83], many interventions have not been widely disseminated.”
Quote in the paperSubstantial claim0 of 2 sources checkedMay combine two claims.
InterpretationcitationThere is a paucity of data on actual cost-effectiveness of Internet interventions, making it difficult to determine their actual, versus potential, cost-benefits.
“There is also a paucity of data on actual cost-effectiveness of Internet interventions [17,34], making it difficult to determine their actual, versus potential, cost-benefits.”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
InterpretationcitationEven when an intervention is effective, the main costs tend to be incurred during development, with relatively low marginal costs per additional user, so that any cost-benefit relies on achieving large numbers of users.
“Even when an intervention is effective, the main costs tend to be incurred during development, with relatively low marginal costs per additional user, so that any cost-benefit relies on achieving large numbers of users [17].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [17] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationcitationA similar methodological approach focusing on persuasive features found considerable use of persuasive techniques, but the authors were unable to conclude whether specific techniques were associated with effectiveness.
“A similar methodological approach, but focusing on the use of persuasive features and mechanisms embedded in Web-based interventions, found considerable use of persuasive techniques. However, the authors were unable to conclude whether specific techniques were associated with effectiveness [63].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [63] source
Not checked in the free run.
May combine two claims.
InterpretationcitationQualitative data suggest that users find personal experiences helpful in reaching decisions, but there are less data available about whether and how such narratives impact emotional or clinical outcomes.
“Qualitative data suggest that users find such “personal experiences” helpful in reaching decisions [55], but there are less data available about whether and how such narratives impact emotional or clinical outcomes [56].”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
InterpretationcitationAttrition from Web-based interventions is a phenomenon that has been observed frequently and may undermine effectiveness.
“Attrition from Web-based interventions is a phenomenon that has been observed frequently [64] that may undermine effectiveness.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [64] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenAn intervention has to be effective before it can be cost-effective.
“The potential cost-effectiveness of Internet interventions is highly appealing, but an intervention has to be effective before it can be cost-effective.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationcitationImplementation of eHealth has proved problematic in most countries, with numerous reports of delay, budget overspends, and occasional severely negative impacts on the quality and effectiveness of care.
“Implementation of eHealth has proved problematic in most countries, with numerous reports of delay, budget overspends, and occasional severely negative impacts on the quality and effectiveness of care [84,85].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [84] Department of HealthNational Audit Office20062012-08-11LondonThe Stationery OfficeThe National Programme for IT in the NHShttp://www.nao.org.uk/publications/0506/department_of_health_the_nati.aspx?alreadysearchfor=yes69q5utIU3
Not checked in the free run.
- cites [85] source
Not checked in the free run.
May combine two claims. The quote only partly states this claim.
InterpretationreasoningData on user characteristics and adherence are confusing and contradictory.
“Data on user characteristics are confusing and contradictory.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
InterpretationreasoningDifferences in target populations, target behaviors, target outcomes, or differences in the content or delivery of the interventions themselves may explain why some interventions work better than others.
“This may be because of differences in target populations, target behaviors, target outcomes, or differences in the content or delivery of the interventions themselves.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationcitationOthers have found no association between adherence and age, gender, or education level.
“others have found no association between adherence and age, gender, or education level [80,81].”
Quote in the paperNot a substantial claim0 of 2 sources checkedClassified as probably not a substantial claim.
PremisecitationThe MRC framework suggests a phased approach, with early work (Phases 0 to 2) consisting of systematic literature reviews, theoretical work, modeling studies, qualitative studies, studies to confirm the proposed pathway of action and identify appropriate intermediary outcomes, and pilot studies to optimize both the intervention and the trial parameters.
“It suggests a phased approach, with early work (Phases 0 to 2) consisting of systematic literature reviews to identify what is already known, theoretical work to establish an appropriate theoretical foundation, modeling studies to establish potential rate-limiting steps and population impact, qualitative studies to determine acceptability and feasibility, studies to confirm (or deny) the proposed”
Quote in the paperSubstantial claim0 of 2 sources checkedClassified as probably not a substantial claim. May combine two claims.
InterpretationcitationPhase 4 (implementation) studies are needed both to establish how best to implement the intervention into routine practice and to determine whether the benefits shown in the trial manifest outside the trial environment, and can also identify unintended adverse effects.
“Phase 4 (implementation) studies are needed both to establish how best to implement the intervention into routine practice and to determine whether the benefits shown in the trial manifest outside the trial environment. Phase 4 studies can also identify unintended adverse effects [90,91].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [90] MRC Health Services and Public Health Research BoardMedical Research Council2000042012-08-11LondonMedical Research CouncilA Framework for Development and Evaluation of RCTs for Complex Interventions to Improve Healthhttp://www.mrc.ac.uk/Utilities/Documentrecord/index.htm?d=MRC00337269q6M4rBF
Not checked in the free run.
- cites [91] Anderson, R, 2008, BMJ source
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningThe Medical Research Council (MRC) framework for developing, evaluating, and implementing complex interventions offers an appropriate framework for research on Web-based interventions.
“Therefore, the Medical Research Council (MRC) framework for developing, evaluating, and implementing complex interventions offers an appropriate framework for research on Web-based interventions.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [90] MRC Health Services and Public Health Research BoardMedical Research Council2000042012-08-11LondonMedical Research CouncilA Framework for Development and Evaluation of RCTs for Complex Interventions to Improve Healthhttp://www.mrc.ac.uk/Utilities/Documentrecord/index.htm?d=MRC00337269q6M4rBF
Not checked in the free run.
- cites [91] Anderson, R, 2008, BMJ source
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenApplication of theory is likely to enhance the effectiveness and success of implementation initiatives.
“Application of theory is likely to enhance the effectiveness and success of implementation initiatives.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisenone givenAn alternative approach used in the mental health field is "facilitated access" in which use of the intervention is monitored and supported by a health care worker or therapist.
“An alternative approach used in the mental health field is “facilitated access” in which use of the intervention is monitored and supported by a health care worker or therapist.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationKraft has advised researchers to consider the use of an intervention as the first behavior change to target.
“Kraft [97] has advised researchers to consider the use of an intervention as the first behavior change to target.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [97] source
Not checked in the free run.
May combine two claims.
InterpretationreasoningAchieving large numbers of users often requires implementing and integrating interventions into routine health care, but this has proved difficult to date.
“Achieving large numbers of users often requires implementing and integrating interventions into routine health care, but this has proved difficult to date.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationThe precursor to NPT, the normalization process model (NPM), originated from a large body of work on eHealth and was developed to explain the observation that many eHealth initiatives failed to embed into routine practice.
“The precursor to NPT, normalization process model (NPM), originated from a large body of work on eHealth and was developed to explain the observation that many eHealth initiatives failed to embed into routine practice [112,113].”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisereasoningEarly phase studies aim to optimize both the intervention and the evaluation, with a view to ensuring that a final Phase 3 trial will provide a definitive answer.
“These early phase studies aim to optimize both the intervention and the evaluation, with a view to ensuring that a final Phase 3 trial will provide a definitive answer.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
InterpretationreasoningThis provides empirical support for the proposed "pathway of action" of the intervention.
“This provides empirical support for the proposed “pathway of action” of the intervention.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningIf an intervention has been designed to cause changes in self-efficacy and outcome expectancies, it is important that the evaluation determines whether changes in these proximal outcomes occur as well as whether the target behavior changes.
“Thus if an intervention has been designed to cause changes in self-efficacy and outcome expectancies, it is important that the evaluation determines whether changes in these proximal outcomes occur as well as whether the target behavior changes.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationcitationThe MRC framework advises the use of a theoretical framework for development of the intervention, and this advice is supported by the empirical literature which demonstrates that theoretically informed Web-based interventions are more likely to be effective than those without a theoretical foundation.
“The MRC framework advises the use of a theoretical framework for development of the intervention, and this advice is supported by the empirical literature which demonstrates that theoretically informed Web-based interventions are more likely to be effective than those without a theoretical foundation.”
Quote in the paperSubstantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationEysenbach has argued that researchers need to document and publish the content of interventions just as they should document both the planned and actual level of engagement by participants with interventions under evaluation.
“Eysenbach [64] has argued that researchers need to document and publish the content of interventions just as they should document both the planned and actual level of engagement by participants with interventions under evaluation.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [64] source
Not checked in the free run.
May combine two claims.
PremisecitationTheories offer generalizable frameworks that can apply across different settings and individuals, the opportunity for incremental accumulation of knowledge, and an explicit framework for analysis.
“Theories offer us generalizable frameworks that can apply across different settings and individuals, the opportunity for incremental accumulation of knowledge, and an explicit framework for analysis [95].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [95] Clinical Effectiveness Research Agenda GroupImplementation Science20092012-08-11LondonDepartment of HealthAn Implementation Research Agenda. A report prepared for the High Level Group on Clinical Effectivenesshttp://www.implementationscience.com/content/4/1/18/additional/69q6Wnw1Z
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationKraft advocates "tunnelling," or highly tailored pre-determined routes through the intervention, coupled with numerous proactive contacts by the intervention to the user delivered through SMS, email, or automated phone calls.
“He advocates “tunnelling,” or highly tailored pre-determined routes through the intervention, coupled with numerous proactive contacts by the intervention to the user delivered through short message service (SMS), email, or automated phone calls [98,99].”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone givenResearchers interested in developing a Web-based behavior-change intervention have a wide range of psychological theories from which to choose.
“Researchers interested in developing a Web-based behavior-change intervention have a wide range of psychological theories from which to choose.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe eHealth Implementation Toolkit (e-HIT) is aimed specifically at eHealth interventions and has been developed for use by managers and other staff charged with implementing eHealth initiatives.
“A similar toolkit, the eHealth Implementation Toolkit (e-HIT), is aimed specifically at eHealth interventions and has been developed for use by managers and other staff charged with implementing eHealth initiatives (ie, implementers) [120-122].”
Quote in the paperNot a substantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe MRC framework has been highly influential, with many additional publications on applying, extending, and revising the framework.
“It has been highly influential, with many additional publications on applying, extending, and revising the framework [92-94].”
Quote in the paperNot a substantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningOnly when both the intervention and the trial parameters have been optimized and the mechanism of action has been well defined, should researchers proceed to a Phase 3 randomized controlled trial to establish the effectiveness of the intervention.
“Only when both the intervention and the trial parameters have been optimized and the mechanism of action has been well defined, should researchers proceed to a Phase 3 randomized controlled trial to establish the effectiveness of the intervention.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe MRC framework was first published in 2000 and revised in 2008.
“This framework was first published in 2000 [90] and revised in 2008 [91].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [90] MRC Health Services and Public Health Research BoardMedical Research Council2000042012-08-11LondonMedical Research CouncilA Framework for Development and Evaluation of RCTs for Complex Interventions to Improve Healthhttp://www.mrc.ac.uk/Utilities/Documentrecord/index.htm?d=MRC00337269q6M4rBF
Not checked in the free run.
- cites [91] Anderson, R, 2008, BMJ source
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenUse of an appropriate theoretical framework (eg, NPT and its associated tool kit) may help researchers work through implementation issues in a structured fashion.
“Use of an appropriate theoretical framework (eg, NPT and its associated tool kit) may help researchers work through implementation issues in a structured fashion.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningBetter descriptions of Web-based interventions in the published literature, including clear descriptions of the theoretical approach used, how it was operationalized, and the likely pathway of action and active components, will facilitate improved research designs to evaluate interventions because important mediators or proximal outcomes will be clearly specified.
“This will facilitate improved research designs to evaluate interventions because important mediators or proximal outcomes will be clearly specified.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningThe application of the MRC framework for development, evaluation, and implementation of complex interventions, together with a greater use of theory, could help address the challenges of equity, effectiveness, and implementation in eHealth.
“It has argued that the application of the MRC framework for development, evaluation, and implementation of complex interventions, together with a greater use of theory could help address these challenges.”
Quote in the paperNot a substantial claim- Rests on an assumption: Normalization is important for sustainability.
The paper relies on this without support.
Normalization is important for sustainability.
“Normalization is important for sustainability.”
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 Few Touch application was equipped with neither "push" factors nor an advanced decision support system providing feedback based on accumulated data and other personal profiles.
“The application was equipped with neither “push” factors nor an advanced decision support system providing feedback based on accumulated data and other personal profiles, which are advocated for long-term usage, according to relevant studies [62-65].”
From Long-Term Engagement With a Mobile Self-Management System for People With Type 2 Diabetes (2013) · cites this paper as [65]
Relevant studies advocate push factors and an advanced decision support system providing feedback based on accumulated data and other personal profiles for long-term usage.
“The application was equipped with neither “push” factors nor an advanced decision support system providing feedback based on accumulated data and other personal profiles, which are advocated for long-term usage, according to relevant studies [62-65].”
From Long-Term Engagement With a Mobile Self-Management System for People With Type 2 Diabetes (2013) · cites this paper as [65]
Cites
Actual causes of death in the United States
McGinnis, J. M. (1993) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.1993.03510180077038 · Cited by 5,480 · see citing works
Actual Causes of Death in the United States, 2000
Mokdad, A. H. (2004) · JAMA · doi:10.1001/jama.291.10.1238 · Cited by 5,211 · see citing works
Why do people use information technology? A critical review of the technology acceptance model
Legris, P., Ingham, J., & Collerette, P. (2003) · Information & Management · doi:10.1016/s0378-7206(01)00143-4 · Cited by 4,250 · see citing works
Sick individuals and sick populations
Rose, G. (2001) · International Journal of Epidemiology · doi:10.1093/ije/30.3.427 · Cited by 3,736 · see citing works
Patient Self-management of Chronic Disease in Primary Care
Bodenheimer, T. (2002) · JAMA · doi:10.1001/jama.288.19.2469 · Cited by 3,598 · cited 1× · see citing works
“Effective self-management programs have been shown to reduce health care costs and improve quality of life across a range of conditions [8-10].”
BackgroundChaudhry, B., Wang, J., Wu, S., Maglione, M., Mojica, W., Roth, E., Morton, S. C., & Shekelle, P. G. (2006) · Annals of Internal Medicine · doi:10.7326/0003-4819-144-10-200605160-00125 · Cited by 3,159 · see citing works
The evolving concept of health literacy
Nutbeam, D. (2008) · Social Science & Medicine · doi:10.1016/j.socscimed.2008.09.050 · Cited by 2,944 · see citing works
Sick individuals and sick populations
ROSE, G. (1985) · International Journal of Epidemiology · doi:10.1093/ije/14.1.32 · Cited by 2,701 · see citing works
Eysenbach, G. (2005) · Journal of Medical Internet Research · doi:10.2196/jmir.7.1.e11 · Cited by 2,524 · see citing works
Webb, T. L., Joseph, J., Yardley, L., & Michie, S. (2010) · Journal of Medical Internet Research · doi:10.2196/jmir.1376 · Cited by 2,517 · see citing works
The Social Determinants of Health: Coming of Age
Braveman, P., Egerter, S., & Williams, D. R. (2011) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-031210-101218 · Cited by 2,476 · see citing works
Lorig, K. R., Sobel, D. S., Stewart, A. L., Brown, B. W., Bandura, A., Ritter, P., Gonzalez, V. M., Laurent, D. D., & Holman, H. R. (1999) · Medical Care · doi:10.1097/00005650-199901000-00003 · Cited by 2,261 · see citing works
Cook, D. A., Hatala, R., Brydges, R., Zendejas, B., Szostek, J. H., Wang, A. T., Erwin, P. J., & Hamstra, S. J. (2011) · JAMA · doi:10.1001/jama.2011.1234 · Cited by 2,170 · see citing works
Implementing, Embedding, and Integrating Practices: An Outline of Normalization Process Theory
May, C., & Finch, T. (2009) · Sociology · doi:10.1177/0038038509103208 · Cited by 2,115 · see citing works
Internet-based cognitive behaviour therapy for symptoms of depression and anxiety: A meta-analysis
SPEK, V., CUIJPERS, P., NYKLÍČEK, I., RIPER, H., KEYZER, J., & POP, V. (2007) · Psychological Medicine · doi:10.1017/s0033291706008944 · Cited by 1,586 · see citing works
Murray, E., Treweek, S., Pope, C., MacFarlane, A., Ballini, L., Dowrick, C., Finch, T., Kennedy, A., Mair, F., O'Donnell, C., et al. (2010) · BMC Medicine · doi:10.1186/1741-7015-8-63 · Cited by 1,478 · see citing works
Self-citationDesigning and evaluating complex interventions to improve health care
Campbell, N. C., Murray, E., Darbyshire, J., Emery, J., Farmer, A., Griffiths, F., Guthrie, B., Lester, H., Wilson, P., & Kinmonth, A. L. (2007) · BMJ · doi:10.1136/bmj.39108.379965.be · Cited by 1,331 · see citing works
Self-citationAndrews, G., Cuijpers, P., Craske, M. G., McEvoy, P., & Titov, N. (2010) · PLoS ONE · doi:10.1371/journal.pone.0013196 · Cited by 1,311 · see citing works
Eysenbach, G., Powell, J., Englesakis, M., Rizo, C., & Stern, A. (2004) · BMJ · doi:10.1136/bmj.328.7449.1166 · Cited by 1,268 · see citing works
A Review of the Predictors, Linkages, and Biases in IT Innovation Adoption Research
Jeyaraj, A., Rottman, J. W., & Lacity, M. C. (2006) · Journal of Information Technology · doi:10.1057/palgrave.jit.2000056 · Cited by 1,136 · see citing works
McMullan, M. (2006) · Patient Education and Counseling · doi:10.1016/j.pec.2005.10.006 · Cited by 1,106 · see citing works
Lignac, G. O. E. (1951) · PubMed · Cited by 1,013 · see citing works
Specifying and reporting complex behaviour change interventions: the need for a scientific method
Michie, S., Fixsen, D., Grimshaw, J. M., & Eccles, M. P. (2009) · Implementation Science · doi:10.1186/1748-5908-4-40 · Cited by 976 · see citing works
Griffiths, F., Lindenmeyer, A., Powell, J., Lowe, P., & Thorogood, M. (2006) · Journal of Medical Internet Research · doi:10.2196/jmir.8.2.e10 · Cited by 820 · cited 1× · see citing works
“Finally, because the main costs of Internet interventions tend to be incurred during the development phase and the marginal cost per additional user tends to be low, they have the potential to be highly cost-effective, particularly when used by large numbers of people [16,17].”
BackgroundThe Delivery of Public Health Interventions via the Internet: Actualizing Their Potential
Bennett, G. G., & Glasgow, R. E. (2009) · Annual Review of Public Health · doi:10.1146/annurev.publhealth.031308.100235 · Cited by 800 · see citing works
Patient care information systems and health care work: a sociotechnical approach
Berg, M. (1999) · International Journal of Medical Informatics · doi:10.1016/s1386-5056(99)00011-8 · Cited by 786 · see citing works
May, C., Finch, T., Mair, F., Ballini, L., Dowrick, C., Eccles, M., Gask, L., MacFarlane, A., Murray, E., Rapley, T., et al. (2007) · BMC Health Services Research · doi:10.1186/1472-6963-7-148 · Cited by 768 · see citing works
Self-citationDefining Internet-Supported Therapeutic Interventions
Barak, A., Klein, B., & Proudfoot, J. G. (2009) · Annals of Behavioral Medicine · doi:10.1007/s12160-009-9130-7 · Cited by 731 · cited 2× · see citing works
“As Barak et al [11] have described, there has been a lack of clarity and consistency in the field of Internet-supported therapeutic interventions.”
BackgroundInteractive Health Communication Applications for people with chronic disease
Murray, E., Burns, J., See Tai, S., Lai, R., & Nazareth, I. (2005) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd004274.pub4 · Cited by 722 · see citing works
Self-citationLUDWICK, D., & DOUCETTE, J. (2009) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2008.06.005 · Cited by 668 · cited 1× · see citing works
“Difficulties in eHealth implementation are international phenomena, with similar problems being widely reported [102-105].”
BackgroundDropout from Internet‐based treatment for psychological disorders
Melville, K. M., Casey, L. M., & Kavanagh, D. J. (2010) · British Journal of Clinical Psychology · doi:10.1348/014466509x472138 · Cited by 597 · see citing works
ZIEBLAND, S., & WYKE, S. (2012) · The Milbank Quarterly · doi:10.1111/j.1468-0009.2012.00662.x · Cited by 554 · see citing works
Doctor in the house: the Internet as a source of lay health knowledge and the challenge to expertise
Hardey, M. (1999) · Sociology of Health & Illness · doi:10.1111/1467-9566.00185 · Cited by 522 · see citing works
Proudfoot, J., Ryden, C., Everitt, B., Shapiro, D. A., Goldberg, D., Mann, A., Tylee, A., Marks, I., & Gray, J. A. (2004) · British Journal of Psychiatry · doi:10.1192/bjp.185.1.46 · Cited by 516 · cited 1× · see citing works
“An alternative approach has been the use of computerized cognitive behavioral therapy (CCBT), which was first developed for use with people experiencing mental health problems such as depression and anxiety [42,43].”
MethodCosts and benefits of health information technology.
Shekelle, P. G., Morton, S. C., & Keeler, E. B. (2006) · doi:10.23970/ahrqepcerta132 · Cited by 501 · see citing works
Efficacy of an Internet-based behavioral intervention for adults with insomnia
Ritterband, L. M., Thorndike, F. P., Gonder-Frederick, L. A., Magee, J. C., Bailey, E. T., Saylor, D. K., & Morin, C. M. (2009) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2009.66 · Cited by 482 · cited 1× · see citing works
“Although initial results are promising, further work is needed because many of the trials have been relatively small [44-47].”
ResultAn implementation research agenda
Eccles, M. P., Armstrong, D., Baker, R., Cleary, K., Davies, H., Davies, S., Glasziou, P., Ilott, I., Kinmonth, A.-L., Leng, G., et al. (2009) · Implementation Science · doi:10.1186/1748-5908-4-18 · Cited by 481 · see citing works
Newman, M. G., Szkodny, L. E., Llera, S. J., & Przeworski, A. (2011) · Clinical Psychology Review · doi:10.1016/j.cpr.2010.09.008 · Cited by 480 · see citing works
Website-Delivered Physical Activity Interventions
Vandelanotte, C., Spathonis, K. M., Eakin, E. G., & Owen, N. (2007) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2007.02.041 · Cited by 475 · see citing works
Critical health literacy: A review and critical analysis
Chinn, D. (2011) · Social Science & Medicine · doi:10.1016/j.socscimed.2011.04.004 · Cited by 471 · see citing works
Portnoy, D. B., Scott-Sheldon, L. A. J., Johnson, B. T., & Carey, M. P. (2008) · Preventive Medicine · doi:10.1016/j.ypmed.2008.02.014 · Cited by 451 · see citing works
A rational model for assessing and evaluating complex interventions in health care
May, C. (2006) · BMC Health Services Research · doi:10.1186/1472-6963-6-86 · Cited by 447 · see citing works
Fry, J. P., & Neff, R. A. (2009) · Journal of Medical Internet Research · doi:10.2196/jmir.1138 · Cited by 447 · see citing works
The use of health information technology in seven nations
Jha, A. K., Doolan, D., Grandt, D., Scott, T., & Bates, D. W. (2008) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2008.06.007 · Cited by 420 · see citing works
Titov, N., Andrews, G., Davies, M., McIntyre, K., Robinson, E., & Solley, K. (2010) · PLoS ONE · doi:10.1371/journal.pone.0010939 · Cited by 406 · see citing works
PROUDFOOT, J., GOLDBERG, D., MANN, A., EVERITT, B., MARKS, I., & GRAY, J. A. (2003) · Psychological Medicine · doi:10.1017/s0033291702007225 · Cited by 389 · see citing works
Theorising big IT programmes in healthcare: Strong structuration theory meets actor-network theory
Greenhalgh, T., & Stones, R. (2010) · Social Science & Medicine · doi:10.1016/j.socscimed.2009.12.034 · Cited by 371 · see citing works
Kaltenthaler, E., Brazier, J., De Nigris, E., Tumur, I., Ferriter, M., Beverley, C., Parry, G., Rooney, G., & Sutcliffe, P. (2006) · Health Technology Assessment · doi:10.3310/hta10330 · Cited by 357 · see citing works
Access to Health Information and Support: A Public Highway or a Private Road?
Eng, T. R., Maxfield, A., Patrick, K., Deering, M. J., Ratzan, S. C., & Gustafson, D. H. (1998) · JAMA · doi:10.1001/jama.280.15.1371 · Cited by 335 · see citing works
Cugelman, B., Thelwall, M., & Dawes, P. (2011) · Journal of Medical Internet Research · doi:10.2196/jmir.1367 · Cited by 323 · cited 1× · see citing works
“…foundation [41], perceived personal relevance to the user [65,66], perceived effectiveness [67,68], tailoring [69,70], persuasive technologies [71], credibility [72,73], social networking [74,75], and regular “push factors” including human support [76-78] and/or periodic prompts (eg, by email…”
BackgroundAssessing the level of healthcare information technology adoption in the United States: a snapshot
Poon, E. G., Jha, A. K., Christino, M., Honour, M. M., Fernandopulle, R., Middleton, B., Newhouse, J., Leape, L., Bates, D. W., Blumenthal, D., et al. (2006) · BMC Medical Informatics and Decision Making · doi:10.1186/1472-6947-6-1 · Cited by 318 · see citing works
Andersson, G. (2002) · Psychosomatic Medicine · doi:10.1097/01.psy.0000031577.42041.f8 · Cited by 312 · cited 1× · see citing works
“Although initial results are promising, further work is needed because many of the trials have been relatively small [44-47].”
ResultRobinson, T. N. (1998) · JAMA · doi:10.1001/jama.280.14.1264 · Cited by 311 · see citing works
Ritterband, L. M., Bailey, E. T., Thorndike, F. P., Lord, H. R., Farrell‐Carnahan, L., & Baum, L. D. (2012) · Psycho-Oncology · doi:10.1002/pon.1969 · Cited by 296 · see citing works
Happy Ending: a randomized controlled trial of a digital multi‐media smoking cessation intervention
Brendryen, H., & Kraft, P. (2008) · Addiction · doi:10.1111/j.1360-0443.2007.02119.x · Cited by 292 · see citing works
Robinson, E., Titov, N., Andrews, G., McIntyre, K., Schwencke, G., & Solley, K. (2010) · PLoS ONE · doi:10.1371/journal.pone.0010942 · Cited by 277 · cited 1× · see citing works
“Characteristics of the intervention that may improve adherence to the intervention include a strong theoretical foundation [41], perceived personal relevance to the user [65,66], perceived effectiveness [67,68], tailoring [69,70], persuasive technologies [71], credibility [72,73], social networking [74,75], and regula…”
BackgroundOnline support for smoking cessation: a systematic review of the literature
Shahab, L., & McEwen, A. (2009) · Addiction · doi:10.1111/j.1360-0443.2009.02710.x · Cited by 275 · see citing works
Richardson, T., Stallard, P., & Velleman, S. (2010) · Clinical Child and Family Psychology Review · doi:10.1007/s10567-010-0069-9 · Cited by 272 · cited 1× · see citing works
“Interventions based on CCBT have been shown to be acceptable, effective, and cost-effective across a range of mental health problems including mild to moderate depression, anxiety, obsessive-compulsive disorder, and phobias [48-54].”
BackgroundWhy is it difficult to implement e-health initiatives? A qualitative study
Murray, E., Burns, J., May, C., Finch, T., O'Donnell, C., Wallace, P., & Mair, F. (2011) · Implementation Science · doi:10.1186/1748-5908-6-6 · Cited by 270 · see citing works
Self-citationKaltenthaler, E., Sutcliffe, P., Parry, G., Beverley, C., Rees, A., & Ferriter, M. (2008) · Psychological Medicine · doi:10.1017/s0033291707002607 · Cited by 267 · cited 1× · see citing works
“Interventions based on CCBT have been shown to be acceptable, effective, and cost-effective across a range of mental health problems including mild to moderate depression, anxiety, obsessive-compulsive disorder, and phobias [48-54].”
BackgroundStrecher, V., McClure, J., Alexander, G., Chakraborty, B., Nair, V., Konkel, J., Greene, S., Couper, M., Carlier, C., Wiese, C., et al. (2008) · Journal of Medical Internet Research · doi:10.2196/jmir.1002 · Cited by 264 · see citing works
ICT in Health Care: Sociotechnical Approaches
Berg, M., Aarts, J., & van der Lei, J. (2003) · Methods of Information in Medicine · doi:10.1055/s-0038-1634221 · Cited by 261 · see citing works
Cost Effectiveness of Internet Interventions: Review and Recommendations
Tate, D. F., Finkelstein, E. A., Khavjou, O., & Gustafson, A. (2009) · Annals of Behavioral Medicine · doi:10.1007/s12160-009-9131-6 · Cited by 261 · see citing works
The diffusion of virtual communities in health care: Concepts and challenges
Demiris, G. (2006) · Patient Education and Counseling · doi:10.1016/j.pec.2005.10.003 · Cited by 249 · see citing works
Engagement and retention: measuring breadth and depth of participant use of an online intervention
Couper, M. P., Alexander, G. L., Zhang, N., Little, R. J., Maddy, N., Nowak, M. A., McClure, J. B., Calvi, J. J., Rolnick, S. J., Stopponi, M. A., et al. (2010) · Journal of Medical Internet Research · doi:10.2196/jmir.1430 · Cited by 244 · see citing works
Richardson, C. R., Buis, L. R., Janney, A. W., Goodrich, D. E., Sen, A., Hess, M. L., Mehari, K. S., Fortlage, L. A., Resnick, P. J., Zikmund-Fisher, B. J., et al. (2010) · Journal of Medical Internet Research · doi:10.2196/jmir.1338 · Cited by 239 · see citing works
May, C. R., Finch, T. L., Ballini, L., MacFarlane, A. E., Mair, F. S., Murray, E., Treweek, S., & Rapley, T. (2011) · Arrow@dit (Dublin Institute of Technology) · doi:10.34961/10032 · Cited by 235 · see citing works
Self-citationGriffiths, K. M., Calear, A. L., & Banfield, M. (2009) · Journal of Medical Internet Research · doi:10.2196/jmir.1270 · Cited by 228 · see citing works
To Reveal is to Critique: Actor–Network Theory and Critical Information Systems Research
Doolin, B., & Lowe, A. D. (2002) · Journal of Information Technology · doi:10.1080/02683960210145986 · Cited by 224 · see citing works
Can pain be managed through the Internet? A systematic review of randomized controlled trials
Bender, J. L., Radhakrishnan, A., Diorio, C., Englesakis, M., & Jadad, A. R. (2011) · Pain · doi:10.1016/j.pain.2011.02.012 · Cited by 223 · see citing works
Engagement in a Diabetes Self-management Website: Usage Patterns and Generalizability of Program Use
Glasgow, R. E., Christiansen, S. M., Kurz, D., King, D. K., Woolley, T., Faber, A. J., Estabrooks, P. A., Strycker, L., Toobert, D., & Dickman, J. (2011) · Journal of Medical Internet Research · doi:10.2196/jmir.1391 · Cited by 219 · see citing works
Adherence in Internet-based interventions.
(2008) · PubMed Central · Cited by 215 · see citing works
Use of e-Health Services between 1999 and 2002: A Growing Digital Divide
Hsu, J. (2004) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m1672 · Cited by 214 · see citing works
Social Network Structure of a Large Online Community for Smoking Cessation
Cobb, N. K., Graham, A. L., & Abrams, D. B. (2010) · American Journal of Public Health · doi:10.2105/ajph.2009.165449 · Cited by 210 · see citing works
Can stand‐alone computer‐based interventions reduce alcohol consumption? A systematic review
Khadjesari, Z., Murray, E., Hewitt, C., Hartley, S., & Godfrey, C. (2011) · Addiction · doi:10.1111/j.1360-0443.2010.03214.x · Cited by 208 · see citing works
Self-citationLehto, T., & Oinas-Kukkonen, H. (2011) · Journal of Medical Internet Research · doi:10.2196/jmir.1559 · Cited by 203 · see citing works
Next Generation Users: The Internet in Britain
Dutton, W. H., & Blank, G. (2011) · SSRN Electronic Journal · doi:10.2139/ssrn.1960655 · Cited by 196 · cited 1× · see citing works
“In 2011, Internet access among those aged 65 or over was 40%, and among those with health problems or disabilities that limited the kind or amount of work able to be done, access was 41% [28].”
BackgroundComputer‐Mediated Social Support: Single Young Mothers as a Model System
Dunham, P. J., Hurshman, A., Litwin, E., Gusella, J., Ellsworth, C., & Dodd, P. W. D. (1998) · American Journal of Community Psychology · doi:10.1023/a:1022132720104 · Cited by 193 · see citing works
Interactive computer-based interventions for sexual health promotion
Bailey, J. V., Murray, E., Rait, G., Mercer, C. H., Morris, R. W., Peacock, R., Cassell, J., & Nazareth, I. (2010) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd006483.pub2 · Cited by 183 · see citing works
Self-citationNew MRC guidance on evaluating complex interventions
Anderson, R. (2008) · BMJ · doi:10.1136/bmj.a1937 · Cited by 172 · see citing works
Elwyn, G., Légaré, F., Weijden, T. V. D., Edwards, A., & May, C. (2008) · Implementation Science · doi:10.1186/1748-5908-3-57 · Cited by 159 · see citing works
Andrews, G., Davies, M., & Titov, N. (2011) · Australian & New Zealand Journal of Psychiatry · doi:10.3109/00048674.2010.538840 · Cited by 152 · see citing works
Entwistle, V. A., France, E. F., Wyke, S., Jepson, R., Hunt, K., Ziebland, S., & Thompson, A. (2011) · Patient Education and Counseling · doi:10.1016/j.pec.2011.05.014 · Cited by 147 · see citing works
Computer-Assisted Learning and Evaluation in Medicine
Piemme, T. E. (1988) · JAMA · doi:10.1001/jama.1988.03410030083033 · Cited by 146 · see citing works
Gerhards, S. A. H., Abma, T. A., Arntz, A., de Graaf, L. E., Evers, S. M. A. A., Huibers, M. J. H., & Widdershoven, G. A. M. (2011) · Journal of Affective Disorders · doi:10.1016/j.jad.2010.09.012 · Cited by 141 · cited 1× · see citing works
“…to the intervention include a strong theoretical foundation [41], perceived personal relevance to the user [65,66], perceived effectiveness [67,68], tailoring [69,70], persuasive technologies [71], credibility [72,73], social networking [74,75], and regular “push factors” including human…”
BackgroundNewman, M. G., Szkodny, L. E., Llera, S. J., & Przeworski, A. (2011) · Clinical Psychology Review · doi:10.1016/j.cpr.2010.10.002 · Cited by 139 · see citing works
Griffiths, K. M., Calear, A. L., Banfield, M., & Tam, A. (2009) · Journal of Medical Internet Research · doi:10.2196/jmir.1303 · Cited by 136 · see citing works
The Information Architecture of Behavior Change Websites
Danaher, B. G., McKay, H. G., & Seeley, J. R. (2005) · Journal of Medical Internet Research · doi:10.2196/jmir.7.2.e12 · Cited by 129 · see citing works
Linke, S., Murray, E., Butler, C., & Wallace, P. (2007) · Journal of Medical Internet Research · doi:10.2196/jmir.9.2.e10 · Cited by 127 · see citing works
Self-citationInternet Interventions for Long-Term Conditions: Patient and Caregiver Quality Criteria
Kerr, C., Murray, E., Stevenson, F. A., Gore, C., & Nazareth, I. (2006) · Journal of Medical Internet Research · doi:10.2196/jmir.8.3.e13 · Cited by 126 · see citing works
Self-citationUnderstanding factors that inhibit or promote the utilization of telecare in chronic lung disease
Mair, F. S., Hiscock, J., & Beaton, S. C. (2008) · Chronic Illness · doi:10.1177/1742395308092482 · Cited by 115 · see citing works
Krukowski, R. A., Tilford, J. M., Harvey‐Berino, J., & West, D. S. (2011) · Obesity · doi:10.1038/oby.2010.341 · Cited by 114 · see citing works
Wallace, P., Murray, E., McCambridge, J., Khadjesari, Z., White, I. R., Thompson, S. G., Kalaitzaki, E., Godfrey, C., & Linke, S. (2011) · PLoS ONE · doi:10.1371/journal.pone.0014740 · Cited by 114 · cited 1× · see citing works
“Our own research on Web-based interventions supports these concerns about equity, with disproportionately high numbers of users having a university degree [29,30].”
BackgroundSelf-citationHarris, J., Felix, L., Miners, A., Murray, E., Michie, S., Ferguson, E., Free, C., Lock, K., Landon, J., & Edwards, P. (2011) · Health Technology Assessment · doi:10.3310/hta15370 · Cited by 109 · see citing works
Self-citationGlasgow, R. E., Kurz, D., King, D., Dickman, J. M., Faber, A. J., Halterman, E., Wooley, T., Toobert, D. J., Strycker, L. A., Estabrooks, P. A., et al. (2010) · Journal of General Internal Medicine · doi:10.1007/s11606-010-1480-0 · Cited by 106 · see citing works
The Ins and Outs of an Online Bipolar Education Program: A Study of Program Attrition
Nicholas, J., Proudfoot, J., Parker, G., Gillis, I., Burckhardt, R., Manicavasagar, V., & Smith, M. (2010) · Journal of Medical Internet Research · doi:10.2196/jmir.1450 · Cited by 97 · see citing works
Development and formative evaluation of the e-Health Implementation Toolkit (e-HIT)
Murray, E., May, C., & Mair, F. (2010) · BMC Medical Informatics and Decision Making · doi:10.1186/1472-6947-10-61 · Cited by 96 · see citing works
Self-citationZbikowski, S. M., Hapgood, J., Smucker Barnwell, S., & McAfee, T. (2008) · Journal of Medical Internet Research · doi:10.2196/jmir.999 · Cited by 87 · see citing works
Outcome predictors in guided and unguided self-help for social anxiety disorder
Nordgreen, T., Havik, O. E., Öst, L. G., Furmark, T., Carlbring, P., & Andersson, G. (2012) · Behaviour Research and Therapy · doi:10.1016/j.brat.2011.10.009 · Cited by 87 · see citing works
Billipp, S. H. (2001) · Public Health Nursing · doi:10.1046/j.1525-1446.2001.00138.x · Cited by 84 · see citing works
Teledermatology in the U.K.: lessons in service innovation
Finch, T. L., Mair, F. S., & May, C. R. (2007) · British Journal of Dermatology · doi:10.1111/j.1365-2133.2006.07608.x · Cited by 84 · see citing works
Gask, L., Bower, P., Lovell, K., Escott, D., Archer, J., Gilbody, S., Lankshear, A. J., Simpson, A. E., & Richards, D. A. (2010) · Implementation Science · doi:10.1186/1748-5908-5-15 · Cited by 75 · see citing works
An Internet administered treatment program for obsessive–compulsive disorder: A feasibility study
Wootton, B. M., Titov, N., Dear, B. F., Spence, J., Andrews, G., Johnston, L., & Solley, K. (2011) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2011.07.009 · Cited by 72 · see citing works
Christensen, M. C., & Remler, D. (2009) · Journal of Health Politics, Policy and Law · doi:10.1215/03616878-2009-034 · Cited by 72 · see citing works
An overview of structuration theory and its usefulness for nursing research
Hardcastle, M.-A., Usher, K. J., & Holmes, C. A. (2005) · Nursing Philosophy · doi:10.1111/j.1466-769x.2005.00230.x · Cited by 66 · see citing works
Effect of Adding a Virtual Community (Bulletin Board) to Smokefree.gov: Randomized Controlled Trial
Stoddard, J. L., Augustson, E. M., & Moser, R. P. (2008) · Journal of Medical Internet Research · doi:10.2196/jmir.1124 · Cited by 65 · see citing works
Review of Interactive Safer Sex Web Sites: Practice and Potential
Noar, S. M., Clark, A., Cole, C., & Lustria, M. L. A. (2006) · Health Communication · doi:10.1207/s15327027hc2003_3 · Cited by 62 · see citing works
Eldridge, S., Spencer, A., Cryer, C., Parsons, S., Underwood, M., & Feder, G. (2005) · Journal of Health Services Research & Policy · doi:10.1258/1355819054338942 · Cited by 58 · see citing works
Kerr, C., Murray, E., Noble, L., Morris, R., Bottomley, C., Stevenson, F., Patterson, D., Peacock, R., Turner, I., Jackson, K., et al. (2010) · Journal of Medical Internet Research · doi:10.2196/jmir.1438 · Cited by 54 · see citing works
Self-citationBig is Beautiful: Electronic Patient Records in Large Norwegian Hospitals 1980s – 2001
Ellingsen, G., & Monteiro, E. (2003) · Methods of Information in Medicine · doi:10.1055/s-0038-1634231 · Cited by 45 · see citing works
Bennett-Levy, J., & Perry, H. (2009) · Australasian Psychiatry · doi:10.1080/10398560902948126 · Cited by 43 · see citing works
Harris, P. R., Sillence, E., & Briggs, P. (2009) · Journal of Medical Internet Research · doi:10.2196/jmir.1097 · Cited by 42 · see citing works
Kraft, P., & Yardley, L. (2009) · Psychology & Health · doi:10.1080/08870440903068581 · Cited by 37 · see citing works
Economic evaluation of an Internet-based weight management program.
Rasu, R. S., Hunter, C. M., Peterson, A. L., Maruska, H. M., & Foreyt, J. P. (2010) · PubMed · Cited by 35 · see citing works
The e-health implementation toolkit: qualitative evaluation across four European countries
MacFarlane, A., Clerkin, P., Murray, E., Heaney, D. J., Wakeling, M., Pesola, U.-M., Waterworth, E. L., Larsen, F., Makiniemi, M., & Winblad, I. (2011) · Implementation Science · doi:10.1186/1748-5908-6-122 · Cited by 34 · see citing works
Self-citationImplementing a Web-based Information Resource at an Inner-city Community Church: Lessons Learned
CASHEN, M. S., SKLAR, B. M., NGUYEN, H. H. T., JUST, M., GALZAGORRY, G., & BAKKEN, S. (2002) · CIN: Computers, Informatics, Nursing · doi:10.1097/00024665-200211000-00011 · Cited by 11 · see citing works
May, C. R., Finch, T., Ballini, L., MacFarlane, A., Mair, F., Murray, E., Treweek, S., & Rapley, T. (2011) · BMC Health Services Research · doi:10.1186/1472-6963-11-245 · Cited by 3 · see citing works
Self-citation
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Granja, C., Janssen, W., & Johansen, M. A. (2018) · Journal of Medical Internet Research · doi:10.2196/10235 · Cited by 578 · see citing works
“Multimedia Appendix 1 [19-239] presents the outcomes.”
Interactive web-based pulmonary rehabilitation programme: a randomised controlled feasibility trial
Chaplin, E., Hewitt, S., Apps, L. D., Bankart, J., Pulikottil-Jacob, R., Boyce, S., Morgan, M. D., Williams, J. E., & Singh, S. J. (2017) · BMJ Open · doi:10.1136/bmjopen-2016-013682 · Cited by 145 · see citing works
Antypas, K., & Wangberg, S. C. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.3132 · Cited by 141 · see citing works
EHealth Technologies in Inflammatory Bowel Disease: A Systematic Review.
Jackson, B. D., Gray, K., Knowles, S. R., & De Cruz, P. (2016) · Journal of Crohn's and Colitis · doi:10.1093/ecco-jcc/jjw059 · Cited by 126 · see citing works
O'Brien, N., Heaven, B., Teal, G., Evans, E. H., Cleland, C., Moffatt, S., Sniehotta, F. F., White, M., Mathers, J. C., & Moynihan, P. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.5790 · Cited by 135 · see citing works
“Although a Web-based intervention was a planned consideration of the research team, we were cognizant of the potential limitations related to the so-called digital divide and subsequent health inequalities in intervention access and use [65].”
Schlegl, S., Bürger, C., Schmidt, L., Herbst, N., & Voderholzer, U. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.3554 · Cited by 123 · see citing works
“…feature the following characteristics: a strong theoretical foundation, perceived personal relevance, tailoring, persuasive technologies, credibility, social networking, and common “push factors,” including human support and/or periodic prompts (by email or telephone), as suggested by Murray [112].”
Iyamu, I., Gómez-Ramírez, O., Xu, A. X., Chang, H.-J., Watt, S., Mckee, G., & Gilbert, M. (2022) · DIGITAL HEALTH · doi:10.1177/20552076221102255 · Cited by 118 · see citing works
“New methodology suitable for the peculiar pace of development and application of digital technologies, with appropriate measures of health outcomes, are also required to advance research and evaluation in digital public health.(21,27,40,48,58,77,146,149,152) Mechanisms for actively sharing these methods were emphasize…”
MethodConley, C. S., Durlak, J. A., Shapiro, J. B., Kirsch, A. C., & Zahniser, E. (2016) · Prevention Science · doi:10.1007/s11121-016-0662-3 · Cited by 110 · see citing works
Guay, C., Auger, C., Demers, L., Mortenson, W. B., Miller, W. C., Gélinas-Bronsard, D., & Ahmed, S. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7896 · Cited by 95 · see citing works
Effects of web-based interventions on cancer patients’ symptoms: review of randomized trials
Fridriksdóttir, N., Gunnarsdóttir, S., Zoëga, S., Ingadóttir, B., & Hafsteinsdóttir, E. J. G. (2017) · Supportive Care in Cancer · doi:10.1007/s00520-017-3882-6 · Cited by 99 · see citing works
Developing Digital Interventions: A Methodological Guide
Bradbury, K., Watts, S., Arden-Close, E., Yardley, L., & Lewith, G. (2014) · Evidence-Based Complementary and Alternative Medicine · doi:10.1155/2014/561320 · Cited by 93 · see citing works
Nitsch, M., Dimopoulos, C. N., Flaschberger, E., Saffran, K., Kruger, J. F., Garlock, L., Wilfley, D. E., Taylor, C. B., & Jones, M. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.4972 · Cited by 87 · see citing works
Okorodudu, D. E., Bosworth, H. B., & Corsino, L. (2015) · Annals of Medicine · doi:10.3109/07853890.2014.931102 · Cited by 75 · see citing works
Lin, J., Klatt, L.-I., McCracken, L. M., & Baumeister, H. (2018) · PAIN · doi:10.1097/j.pain.0000000000001134 · Cited by 76 · see citing works
Boucher, S., Edwards, O., Gray, A., Nada-Raja, S., Lillis, J., Tylka, T. L., & Horwath, C. C. (2016) · JMIR Research Protocols · doi:10.2196/resprot.5861 · Cited by 76 · see citing works
Yap, M. B. H., Mahtani, S., Rapee, R. M., Nicolas, C. C., Lawrence, K. A., Mackinnon, A. J., & Jorm, A. F. (2018) · Journal of Medical Internet Research · doi:10.2196/jmir.9139 · Cited by 74 · see citing works
Effective employee strategies for remote working: An online self-training intervention
Demerouti, E. (2023) · Journal of Vocational Behavior · doi:10.1016/j.jvb.2023.103857 · Cited by 87 · see citing works
Brown‐Johnson, C. G., Berrean, B., & Cataldo, J. K. (2015) · Patient Education and Counseling · doi:10.1016/j.pec.2014.12.006 · Cited by 66 · see citing works
Long-Term Engagement With a Mobile Self-Management System for People With Type 2 Diabetes
Tatara, N., Årsand, E., Skrøvseth, S. O., & Hartvigsen, G. (2013) · JMIR mHealth and uHealth · doi:10.2196/mhealth.2432 · Cited by 62 · see citing works
Hadjiconstantinou, M., Byrne, J. L., Bodicoat, D. H., Robertson, N., Eborall, H., Khunti, K. K., & Davies, M. J. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.5991 · Cited by 63 · see citing works
Tarzia, L., Iyer, D., Thrower, E., & Hegarty, K. L. (2017) · Journal of Technology in Human Services · doi:10.1080/15228835.2017.1350616 · Cited by 64 · see citing works
The Implementation of Internet Interventions for Depression: A Scoping Review
Drozd, F., Vaskinn, L., Bergsund, H. B., Haga, S. M., Slinning, K., & Bjørkli, C. A. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.5670 · Cited by 60 · see citing works
Furness, K., Sarkies, M., Huggins, C. E., Croagh, D. G., & Haines, T. P. (2020) · Journal of Medical Internet Research · doi:10.2196/16112 · Cited by 61 · see citing works
Olson, C. M. (2016) · Annual Review of Nutrition · doi:10.1146/annurev-nutr-071715-050815 · Cited by 59 · see citing works
Rickhi, B., Kania‐Richmond, A., Moritz, S., Cohen, J., Paccagnan, P., Dennis, C., Liu, M., Malhotra, S., Steele, P., & Toews, J. (2015) · BMC Complementary and Alternative Medicine · doi:10.1186/s12906-015-0968-x · Cited by 57 · see citing works
Coster, S., Li, Y., & Norman, I. J. (2020) · International Journal of Nursing Studies · doi:10.1016/j.ijnurstu.2020.103698 · Cited by 58 · see citing works
Wilhelmsen, M., Høifødt, R. S., Kolstrup, N., Waterloo, K. K., Eisemann, M. R., Chenhall, R. D., & Risør, M. B. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.3556 · Cited by 55 · see citing works
Turnbull, S., Cabral, C., Hay, A. D., & Lucas, P. J. (2020) · Journal of Medical Internet Research · doi:10.2196/17849 · Cited by 55 · see citing works
Santer, M., Muller, I., Yardley, L., Burgess, H., Selinger, H., Stuart, B. L., & Little, P. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.3035 · Cited by 52 · see citing works
Arnaud, N., Baldus, C., Elgán, T. H., Paepe, N. D., Tønnesen, H., Csémy, L., & Thomasius, R. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.4643 · Cited by 50 · see citing works
Burke, D., Lennon, O. C., Blake, C. M., Nolan, M., Barry, S., Smith, E. M., Maye, F., Lynch, J. J., O'Connor, L., Maume, L., et al. (2019) · European Journal of Pain · doi:10.1002/ejp.1402 · Cited by 51 · see citing works
Aromatario, O., Hoye, A. V., Vuillemin, A., Foucaut, A.-M., Crozet, C., Pommier, J., & Cambon, L. (2019) · Public Health · doi:10.1016/j.puhe.2019.06.011 · Cited by 53 · see citing works
A cohort study of a tailored web intervention for preconception care
Agricola, E., Pandolfi, E., Gonfiantini, M. V., Gesualdo, F., Romano, M., Carloni, E., Mastroiacovo, P., & Tozzi, A. E. (2014) · BMC Medical Informatics and Decision Making · doi:10.1186/1472-6947-14-33 · Cited by 47 · see citing works
de Brún, T., Brún, M. O.-D., O’Donnell, C. A., & MacFarlane, A. E. (2016) · BMC Health Services Research · doi:10.1186/s12913-016-1587-z · Cited by 48 · see citing works
van der Vaart, R., Atema, V., & Evers, A. W. M. (2016) · BMC Family Practice · doi:10.1186/s12875-016-0424-0 · Cited by 47 · see citing works
de Sousa, D., Fogel, A. A. A., Azevedo, J., & Padrão, P. (2022) · Nutrients · doi:10.3390/nu14061258 · Cited by 57 · see citing works
Mifsud, À., Pehlivan, M. J., Fam, P., O'Grady, M., van Steensel, A., Elder, E., Gilchrist, J., & Sherman, K. (2021) · Health Psychology and Behavioral Medicine · doi:10.1080/21642850.2021.1929236 · Cited by 45 · see citing works
Siddiqui, S., & Schultze‐Krumbholz, A. (2023) · Societies · doi:10.3390/soc13090212 · Cited by 44 · see citing works
Gammon, D., Strand, M., Eng, L. S., Børøsund, E., Varsi, C., & Ruland, C. M. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7524 · Cited by 43 · see citing works
Short, C. E., Vandelanotte, C., & Duncan, M. J. (2014) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/1479-5868-11-25 · Cited by 41 · see citing works
Tarzia, L., Valpied, J., Koziol‐McLain, J., Glass, N. E., & Hegarty, K. L. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7039 · Cited by 40 · see citing works
Graham, M. L., Strawderman, M. S., Demment, M. M., & Olson, C. M. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.6644 · Cited by 39 · see citing works
Hadjiconstantinou, M., Schreder, S., Brough, C., Northern, A., Stribling, B., Khunti, K. K., & Davies, M. J. (2020) · Journal of Medical Internet Research · doi:10.2196/17316 · Cited by 37 · see citing works
BRUSSONI, M. J., Ishikawa, T., Han, C. S. E., Pike, I., Bundy, A. C., Faulkner, G., & Mâsse, L. C. (2018) · Trials · doi:10.1186/s13063-018-2552-4 · Cited by 40 · see citing works
Cocker, K. A. D., Bourdeaudhuij, I. D., Cardon, G., & Vandelanotte, C. (2015) · BMC Public Health · doi:10.1186/s12889-015-2288-y · Cited by 38 · see citing works
eHealth for inflammatory bowel disease self-management – the patient perspective
Con, D., Jackson, B., Gray, K., & De Cruz, P. (2017) · Scandinavian Journal of Gastroenterology · doi:10.1080/00365521.2017.1333625 · Cited by 38 · see citing works
Jorm, A. F., Morgan, A. J., & Malhi, G. S. (2013) · Australian & New Zealand Journal of Psychiatry · doi:10.1177/0004867412474076 · Cited by 38 · see citing works
Tilga, H., Hein, V., & Koka, A. (2019) · Perceptual and Motor Skills · doi:10.1177/0031512519840150 · Cited by 37 · see citing works
Pearson, J., Walsh, N. E., Carter, D., Koskela, S., & Hurley, M. (2016) · JMIR Research Protocols · doi:10.2196/resprot.5446 · Cited by 34 · see citing works
A Pilot Randomized Controlled Trial of an Internet-Based Alcohol Intervention in a Workplace Setting
Brendryen, H., Johansen, A. B., Duckert, F., & Nesvåg, S. M. (2017) · International Journal of Behavioral Medicine · doi:10.1007/s12529-017-9665-0 · Cited by 37 · see citing works
Nes, A. A. G., Eide, H., Kristjánsdóttir, Ó. B., & van Dulmen, S. (2013) · Patient Education and Counseling · doi:10.1016/j.pec.2013.01.022 · Cited by 34 · see citing works
Strand, M., Gammon, D., & Ruland, C. M. (2017) · BMC Health Services Research · doi:10.1186/s12913-017-2176-5 · Cited by 33 · see citing works
Khan, A. I., Gill, A., Cott, C. A., Hans, P. K., & Gray, C. S. (2018) · JMIR mhealth and uhealth · doi:10.2196/mhealth.8593 · Cited by 33 · see citing works
Brough, C., Boyce, S., Houchen‐Wolloff, L., Sewell, L., & Singh, S. J. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.3027 · Cited by 34 · see citing works
In-MINDD Team, O’Donnell, C. A., Browne, S., Pierce, M., McConnachie, A., Deckers, K., van Boxtel, M. P. J., Manera, V., Köhler, S., Redmond, M., et al. (2015) · Pilot and Feasibility Studies · doi:10.1186/s40814-015-0035-x · Cited by 31 · see citing works
Antypas, K., & Wangberg, S. C. (2014) · JMIR Research Protocols · doi:10.2196/resprot.2725 · Cited by 32 · see citing works
Koçak, V., Ege, E., & Iyısoy, M. S. (2021) · Archives of Psychiatric Nursing · doi:10.1016/j.apnu.2021.06.009 · Cited by 34 · see citing works
van der Hout, A., van Uden-Kraan, C. F., Holtmaat, K., Jansen, F., Lissenberg-Witte, B. I., Nieuwenhuijzen, G. A. P., Hardillo, J. A., Baatenburg de Jong, R. J., Tiren-Verbeet, N. L., Sommeijer, D. W., et al. (2021) · Internet Interventions · doi:10.1016/j.invent.2021.100429 · Cited by 29 · see citing works
Smits, R., Bryant, J., Sanson‐Fisher, R., Tzelepis, F., Henskens, F. A., Paul, C. L., & Stevenson, W. S. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.2849 · Cited by 31 · see citing works
Aromatario, O., Hoye, A. V., Vuillemin, A., Foucaut, A.-M., Pommier, J., & Cambon, L. (2019) · BMC Public Health · doi:10.1186/s12889-019-7828-4 · Cited by 32 · see citing works
Campbell, W. P., Hester, R. K., Lenberg, K. L., & Delaney, H. D. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.5508 · Cited by 30 · see citing works
Kohl, J., Brame, J., Centner, C., Wurst, R., Fuchs, R., Sehlbrede, M., Tinsel, I., Maiwald, P., Fichtner, U. A., Armbruster, C., et al. (2023) · Journal of Medical Internet Research · doi:10.2196/43426 · Cited by 29 · see citing works
Sina, M., Graffy, J., & Simmons, D. S. (2018) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2018.04.031 · Cited by 29 · see citing works
Hohberg, V., Fuchs, R., Gerber, M., Künzler, D., Paganini, S., & Faude, O. (2022) · Sports Medicine - Open · doi:10.1186/s40798-022-00489-w · Cited by 25 · see citing works
Davies, N., Hopwood, J., Walker, N., Ross, J., Iliffe, S., Walters, K. R., & Rait, G. (2019) · BMC Palliative Care · doi:10.1186/s12904-019-0455-0 · Cited by 26 · see citing works
Koneska, E., Appelbe, D., Williamson, P. R., & Dodd, S. R. (2020) · Journal of Medical Internet Research · doi:10.2196/15474 · Cited by 26 · see citing works
Foster, C. L., Calman, L. A., Grimmett, C., Breckons, M., Cotterell, P., Yardley, L., Joseph, J. A., Hughes, S. F., Jones, R., Leonidou, C., et al. (2015) · Psycho-Oncology · doi:10.1002/pon.3747 · Cited by 26 · see citing works
Reblin, M., Wu, Y. P., Pok, J., Kane, L., Colman, H., Cohen, A. L., Mendivil, E., Warner, E. L., Meyer, M., & Agutter, J. (2017) · JMIR Human Factors · doi:10.2196/humanfactors.7845 · Cited by 25 · see citing works
Tzelepis, F., Mitchell, A., Wilson, L., Byrnes, E., Haschek, A., Leigh, L., & Oldmeadow, C. J. (2021) · Journal of Medical Internet Research · doi:10.2196/23513 · Cited by 25 · see citing works
Rehab on Wheels: A Pilot Study of Tablet-Based Wheelchair Training for Older Adults
Giesbrecht, E., Miller, W. C., Jin, B. T., Mitchell, I. M., & Eng, J. J. (2015) · JMIR Rehabilitation and Assistive Technologies · doi:10.2196/rehab.4274 · Cited by 23 · see citing works
Harrison, J. J., Badr, S., Hamandi, B., & Kim, S. J. (2016) · Transplantation · doi:10.1097/tp.0000000000001279 · Cited by 23 · see citing works
Nguyen, L., Keshavjee, K., Archer, N., Patterson, C., Gwadry-Sridhar, F., & Demers, C. (2017) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2017.06.001 · Cited by 22 · see citing works
Olson, C. M., Strawderman, M. S., & Graham, M. L. (2017) · Obesity · doi:10.1002/oby.21873 · Cited by 22 · see citing works
Effect of autonomy support and dialogic learning on school children’s physical activity and sport
Hernández, E. H., Fabra, J. A. A., & Murcia, J. A. M. (2020) · Scandinavian Journal of Psychology · doi:10.1111/sjop.12637 · Cited by 23 · see citing works
Torkamaan, H., & Ziegler, J. (2021) · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) · doi:10.1145/3460418.3479330 · Cited by 22 · see citing works
Howell, D., Pond, G. R., Bryant‐Lukosius, D., Powis, M., McGowan, P., Makuwaza, T., Kukreti, V., Rask, S., Hack, S., & Krzyzanowska, M. K. (2023) · Journal of the National Comprehensive Cancer Network · doi:10.6004/jnccn.2022.7095 · Cited by 24 · see citing works
Knowledge Translation in Men’s Health Research: Development and Delivery of Content for Use Online
Lohan, M., Aventin, Á., Oliffe, J. L., Han, C. S. E., & Bottorff, J. L. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.3881 · Cited by 22 · see citing works
Irani, E., Niyomyart, A., & Hickman, R. L. (2020) · Western Journal of Nursing Research · doi:10.1177/0193945919897011 · Cited by 21 · see citing works
Naccache, B., Mesquida, L., Raynaud, J., & Revet, A. (2021) · BMC Psychiatry · doi:10.1186/s12888-021-03478-7 · Cited by 23 · see citing works
State of the Art in Clinical Informatics: Evidence and Examples
McCoy, A. B., Wright, A. T., Eysenbach, G., Malin, B., Patterson, E. S., Xu, H., & Sittig, D. F. (2013) · Yearbook of Medical Informatics · doi:10.1055/s-0038-1638827 · Cited by 21 · see citing works
Fletcher, K., Foley, F., & Murray, G. (2018) · Journal of Medical Internet Research · doi:10.2196/11160 · Cited by 21 · see citing works
Sanci, L., Kauer, S., Thuraisingam, S., Davidson, S., Duncan, A.-M., Chondros, P., Mihalopoulos, C., & Buhagiar, K. (2019) · JMIR Mental Health · doi:10.2196/13189 · Cited by 19 · see citing works
Short, C. E., Rebar, A. L., & Vandelanotte, C. (2015) · BMC Medical Research Methodology · doi:10.1186/s12874-015-0063-5 · Cited by 20 · see citing works
Downing, K. L., Campbell, K. J., van der Pligt, P., & Hesketh, K. D. (2017) · Childhood Obesity · doi:10.1089/chi.2017.0078 · Cited by 20 · see citing works
Corbett, T., Walsh, J. C., Groarke, A., Moss-Morris, R., Morrissey, E., & McGuire, B. E. (2017) · JMIR Cancer · doi:10.2196/cancer.6987 · Cited by 18 · see citing works
Siddiqui, S., & Schultze‐Krumbholz, A. (2023) · PLoS ONE · doi:10.1371/journal.pone.0284864 · Cited by 30 · see citing works
Singh, A., Newhouse, N., Gibbs, J., BLANDFORD, A. E., Chen, Y., Briggs, P., Mentis, H. M., Sellen, K., & Bardram, J. E. (2017) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3027063.3049287 · Cited by 18 · see citing works
Soto‐Ruiz, N., Escalada‐Hernández, P., Martín‐Rodríguez, L. S., Ferraz‐Torres, M., & García‐Vivar, C. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph191912240 · Cited by 17 · see citing works
Nieto, R., Boixadós, M., Ruiz, G., Encuentra, E. H., & Huguet, A. (2020) · Journal of Pain Research · doi:10.2147/jpr.s221227 · Cited by 19 · see citing works
Felizardo, V., Sousa, P., Sabugueiro, D., Alexandre, C., Couto, R. A., Garcia, N. C., & Pires, I. M. (2015) · Advances in electronic government, digital divide, and regional development book series · doi:10.4018/978-1-4666-7266-6.ch016 · Cited by 17 · see citing works
Kvillemo, P., Hiltunen, L., Demetry, Y., Carlander, A. K., Hansson, T., Gripenberg, J., Elgán, T. H., Einhorn, K., & Skoglund, C. B. (2021) · Substance Abuse Treatment Prevention and Policy · doi:10.1186/s13011-021-00420-8 · Cited by 17 · see citing works
Web-Based Study for Improving Mammography Among Korean American Women
Lee, E. E., Brecht, M., Park, H., Lee, J., & Oh, K. M. (2015) · Journal of Cancer Education · doi:10.1007/s13187-015-0920-2 · Cited by 17 · see citing works
Giesbrecht, E., & Miller, W. C. (2017) · PeerJ · doi:10.7717/peerj.3879 · Cited by 17 · see citing works
Turnbull, S., Lucas, P. J., Hay, A. D., & Cabral, C. (2021) · BMC Public Health · doi:10.1186/s12889-021-10325-7 · Cited by 20 · see citing works
Tele-Monitoring Applications in Respiratory Allergy
Aggelidis, X., Kritikou, M., Makris, M. P., Miligkos, M., Papapostolou, N., Papadopoulos, N. G., & Xepapadaki, P. V. (2024) · Journal of Clinical Medicine · doi:10.3390/jcm13030898 · Cited by 16 · see citing works
Mateo, A. C., López‐López, L., Ciuró, A. H., Núñez, J. M., Rodríguez‐Torres, J., Ortíz‐Rubio, A., & Valenza, M. C. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph182312692 · Cited by 16 · see citing works
Uesugi, K. H., Dattilo, A. M., Black, M. M., & Saavedra, J. M. (2016) · Journal of Obesity · doi:10.1155/2016/5067421 · Cited by 16 · see citing works
Building Persuasiveness into Information Systems
Harjumaa, M., & Muuraiskangas, S. (2014) · Electronic Journal of Information Systems Evaluation · Cited by 15 · see citing works
Mailey, E. L., Irwin, B. C., Joyce, J. M., & Hsu, W. (2019) · Applied Psychology Health and Well-Being · doi:10.1111/aphw.12168 · Cited by 15 · see citing works
Danila, M. I., Outman, R. C., Rahn, E. J., Mudano, A. S., Thomas, T. F., Redden, D. T., Allison, J. J., Anderson, F. A., Anderson, J. P., Cram, P. M., et al. (2016) · Contemporary Clinical Trials Communications · doi:10.1016/j.conctc.2016.06.010 · Cited by 15 · see citing works
- Authors
- Murray, E.
- Affiliations
- University College London (GB)
- Corresponding author
- Murray, Elizabeth
- ORCID
- Murray, Elizabeth
- Venue
- Medicine 2.0
- Publisher
- JMIR Publications Inc.
- Published
- 2012-08-14
- Volume
- 1
- Issue
- 2
- Pages
- e3
- ISSN
- 1923-2195 (ISSN-L)
- PMC
- PMC4084772
- OpenAlex
- W1990682749
- Semantic Scholar
- 9df2e6a2abb5681b956d48cd0444286309af5d22
- Cited by
- 219
- References
- 117
- Citations by year
- 2026: 9 · 2025: 9 · 2024: 7 · 2023: 15 · 2022: 16 · 2021: 20 · 2020: 13 · 2019: 15 · 2018: 13 · 2017: 33 · 2016: 25 · 2015: 25 · 2014: 12 · 2013: 6 · 2012: 1
- FWCI
- 19.86
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- Locations
- Medicine 2 0 (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Health Professions › General Health Professions › Health Literacy and Information Accessibility
- Keywords
- online intervention, e-health, behavior change, self-management, chronic disease, self-care, digital divide, health disparities, implementation, complex interventions, MRC framework, mechanism of action, scalability, health care costs
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.
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