What Design Features Are Used in Effective e-Health Interventions? A Review Using Techniques from Critical Interpretive Synthesis

Morrison, Leanne; Yardley, Lucy; Powell, John; Michie, Susan

doi:10.1089/tmj.2011.0062

Cited by 268 publications

(286 citation statements)

References 85 publications

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“…It draws on evidence-based therapeutic principles (such as cognitive-behavioral therapy); existing behavioral theo-ries (such as social cognitive models); and research on broader engagement processes (such as the therapeutic alliance and social support). For example, key design features of DBCIs identified by Morrison et al 6 include social context and support, contacts with the interven-tion, tailoring, and self-management.…”

Section: Conceptualizing Engagementmentioning

confidence: 99%

Understanding and Promoting Effective Engagement With Digital Behavior Change Interventions

Yardley

Spring

Riper

et al. 2016

American Journal of Preventive Medicine

Self Cite

907

865

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This paper is one in a series developed through a process of expert consensus to provide an overview of questions of current importance in research into engagement with digital behavior change interventions, identifying guidance based on research to date and priority topics for future research. The first part of this paper critically reflects on current approaches to conceptualizing and measuring engagement. Next, issues relevant to promoting effective engagement are discussed, including how best to tailor to individual needs and combine digital and human support. A key conclusion with regard to conceptualizing engagement is that it is important to understand the relationship between engagement with the digital intervention and the desired behavior change. This paper argues that it may be more valuable to establish and promote "effective engagement," rather than simply more engagement, with "effective engagement" defined empirically as sufficient engagement with the intervention to achieve intended outcomes. Appraisal of the value and limitations of methods of assessing different aspects of engagement highlights the need to identify valid and efficient combinations of measures to develop and test multidimensional models of engagement. The final section of the paper reflects on how interventions can be designed to fit the user and their specific needs and context. Despite many unresolved questions posed by novel and rapidly changing technologies, there is widespread consensus that successful intervention design demands a user-centered and iterative approach to development, using mixed methods and in-depth qualitative research to progressively refine the intervention to meet user requirements.

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Section: Conceptualizing Engagementmentioning

confidence: 99%

Understanding and Promoting Effective Engagement With Digital Behavior Change Interventions

Yardley

Spring

Riper

et al. 2016

American Journal of Preventive Medicine

Self Cite

907

865

View full text Add to dashboard Cite

show abstract

“…Online information provision needs to be credible to consumers [15]. Several researchers have studied the tailoring of systems according to the users' needs [16][17][18][19], providing interactivity of the system for better communication [20][21][22], and social support [23,24]. A framework known as the Persuasive Systems Design (PSD) model has been developed for designing and evaluating systems that influence the attitudes or behaviours of users [10].…”

Section: Introductionmentioning

confidence: 99%

Persuasive Technology in Mobile Applications Promoting Physical Activity: a Systematic Review

et al. 2016

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Persuasive technology in mobile applications can be used to influence the behaviour of users. A framework known as the Persuasive Systems Design model has been developed for designing and evaluating systems that influence the attitudes or behaviours of users. This paper reviews the current state of mobile applications for health behavioural change with an emphasis on applications that promote physical activity. The inbuilt persuasive features of mobile applications were evaluated using the Persuasive Systems Design model. A database search was conducted to identify relevant articles. Articles were then reviewed using the Persuasive Systems Design model as a framework for analysis. Primary task support, dialogue support, and social support were found to be moderately represented in the selected articles. However, system credibility support was found to have only low levels of representation as a persuasive systems design feature in mobile applications for supporting physical activity. To ensure that available mobile technology resources are best used to improve the wellbeing of people, it is important that the design principles that influence the effectiveness of persuasive technology be understood. AbstractPersuasive technology in mobile applications can be used to influence the behaviour of users. A framework known as the Persuasive Systems Design model has been developed for designing and evaluating systems that influence the attitudes or behaviours of users. This paper reviews the current state of mobile applications for health behavioural change with an emphasis on applications that promote physical activity. The inbuilt persuasive features of mobile applications were evaluated using the Persuasive Systems Design model. A database search was conducted to identify relevant articles. Articles were then reviewed using the Persuasive Systems Design model as a framework for analysis. Primary task support, dialogue support, and social support were found to be moderately represented in the selected articles. However, system credibility support was found to have only low levels of representation as a persuasive systems design feature in mobile applications for supporting physical activity. To ensure that available mobile technology resources are best used to improve the wellbeing of people, it is important that the design principles that influence the effectiveness of persuasive technology be understood.

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“…In their review, Gardner et al 2 called for the inclusion of more information on the design, content, and delivery of interventions as a way to explain variation in effectiveness. Morrison et al 7 and others 8,9 have recently called for more explicit reporting of the development and implementation of e-health interventions. Engagement with online or electronic pregnancy interventions has been examined only in a few studies and has been relatively low.…”

Section: Introductionmentioning

confidence: 99%

The Theory, Development, and Implementation of an e-Intervention to Prevent Excessive Gestational Weight Gain: e-Moms Roc

Graham

Uesugi²,

Niederdeppe³

et al. 2014

Telemedicine and e-Health

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Background: Gaining more weight during pregnancy than is recommended by the Institute of Medicine is prevalent and contributes to the development of obesity in women. This article describes the development and use of e-Moms of Rochester (eMoms Roc), an electronic intervention (e-intervention), to address this health issue in a socioeconomically diverse sample of pregnant women. Materials and Methods: Formative research in the form of intercept interviews, in-depth interviews, and focus groups was conducted to inform the design of the e-intervention. The Web site continuously tracked each participant's use of e-intervention features. Results: An e-intervention, including Web site and mobile phone components, was developed and implemented in a randomized control trial. Formative research informed the design. Participants in all arms accessed blogs, local resources, articles, frequently asked questions, and events. Participants in the intervention arms also accessed the weight gain tracker and diet and physical activity goal-setting tools. Overall, 80% of women logged into the Web site and used a tool or feature at least twice. Among those in the intervention arm, 70% used the weight gain tracker, but only 40% used the diet and physical activity goal-setting tools. Conclusions: To maximize and sustain potential usage of e-Moms Roc over time, the e-intervention included customized reminders, tailored content, and community features such as blogs and resources. Usage was comparable to those in other weight studies with young adults and higher than reported in a published study with pregnant women. This e-intervention specifically designed for pregnant women was used by the majority of women.

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What Design Features Are Used in Effective e-Health Interventions? A Review Using Techniques from Critical Interpretive Synthesis

Cited by 268 publications

References 85 publications

Understanding and Promoting Effective Engagement With Digital Behavior Change Interventions

Understanding and Promoting Effective Engagement With Digital Behavior Change Interventions

Persuasive Technology in Mobile Applications Promoting Physical Activity: a Systematic Review

The Theory, Development, and Implementation of an e-Intervention to Prevent Excessive Gestational Weight Gain: e-Moms Roc

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