The relationship between persuasive technology principles, adherence and effect of web-Based interventions for mental health: A meta-analysis

Wildeboer, Gina; Kelders, Saskia M.; Gemert-Pijnen, Julia E.W.C. van

doi:10.1016/j.ijmedinf.2016.04.005

Cited by 85 publications

(58 citation statements)

References 66 publications

(42 reference statements)

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“…Overall, they concluded that persuasive strategies were not widely employed in mental health applications. Moreover, Wildeboer et al (2016) examined the relationship between persuasive strategies, adherence, and the effectiveness of web-based intervention for mental health. Results indicated there is a relationship between the number of persuasive strategies and the intervention's effectiveness.…”

Section: Introductionmentioning

confidence: 99%

Apps for Mental Health: An Evaluation of Behavior Change Strategies and Recommendations for Future Development

Alqahtani

Khalifah

Oyebode

et al. 2019

Front. Artif. Intell.

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Mobile applications have shown promise in supporting people with mental health issues to adopt healthy lifestyles using various persuasive strategies. However, the extent to which mental health apps successfully employ various persuasive strategies remains unknown. Hence, it is important to understand the persuasive strategies integrated into mental health applications (apps) and how they are implemented to promote mental health. This paper aims to achieve three main objectives. First, we review 103 mental health apps and identify distinct persuasive strategies incorporated in them using the Persuasive Systems Design (PSD) model and Behavior Change Techniques (BCTs). We further classify the persuasive strategies based on the type of mental health issues the app is focused on. Second, we reveal the various ways that the persuasive strategies are implemented/operationalized in mental health apps to achieve their intended objectives. Third, we examine the relationship between apps effectiveness (measured by user ratings) and the persuasive strategies employed. To achieve this, two researchers independently downloaded and used all identified apps to identify the persuasive strategies using the PSD model and BCTs. Next, they also examine the various ways that these strategies are implemented in mental health apps. The results show that the apps employed 26 distinct persuasive strategies and a range of 1-10 strategies per app. Self-monitoring (n = 59), personalization (n = 55), and reminder (n = 49) were the most frequently employed strategies. We also found that anxiety, stress, depression, and general mental health issues were the common mental health issues targeted by the apps. Finally, we offer some design recommendations for designing mental health apps based on our findings.

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Section: Introductionmentioning

confidence: 99%

Apps for Mental Health: An Evaluation of Behavior Change Strategies and Recommendations for Future Development

Alqahtani

Khalifah

Oyebode

et al. 2019

Front. Artif. Intell.

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show abstract

“…For example, rewards can supplement suggestion, making this an effective combination (Räisänen, Lehto, & Oinas-Kukkonen, 2011). Also, the combination of tunneling, tailoring, reminders, social learning, social comparison, with or without similarity, seems to contribute to higher effect sizes (Wildeboer et al, 2016). However, it must be avoided to weaken persuasiveness by implementing features that have low synergy.…”

Section: Influence On Effectivenessmentioning

confidence: 99%

“…Issues of persuasive design will become a critical area of focus within eHealth intervention development and will have considerable effects on usage and outcome. The employment of persuasive strategies into the design can increase the adherence to interventions, and its desired effects to be achieved Wildeboer, Kelders, & van Gemert-Pijnen, 2016). Yet, theoretical frameworks and conceptual models are needed that pay closer attention to mapping the lessons learned from psychological studies, with the characteristics of modern information and communication technologies.…”

Section: Developing and Evaluating Persuasive Technologymentioning

confidence: 99%

“…It seems that there is a positive relationship between the number of persuasive features and effectiveness (Wildeboer et al, 2016;Xu, Chomutare, & Iyengar, 2014), suggesting that persuasive technology indeed adds to the effectiveness of eHealth technology. However, it cannot be concluded that the more features are being used, the more effective a technology is.…”

Section: Influence On Effectivenessmentioning

confidence: 99%

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Persuasive health technology

Gemert-Pijnen

Kelders

Jong

et al. 2018

eHealth Research, Theory and Development

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“…The persuasive system design (PSD) model (Oinas-Kukkonen & Harjumaa, 2008), based on the original work by Fogg (2003), is a systematic way of designing and assessing persuasive technology. A growing number of studies are using this model in eHealth interventions to assess how persuasive technologies are being used and understand how they influence health outcomes more consistently (Kelders, Kok, Ossebaard, & van Gemert-Pijnen, 2012;Kelders et al, 2016;Lentferink et al, 2017;van Gemert-Pijnen et al, 2011;Wildeboer, Kelders, & van Gemert-Pijnen, 2016). The PSD model is specifically concerned with human-computer interaction, which refers to the inherent features of technology to influence the user's behaviour, rather than the features of technology which facilitate human-tohuman interaction.…”

Section: Health Behaviour Change Support Systems and Persuasive Technmentioning

confidence: 99%

Persuasive technology and behaviour change in parent-focused eHealth interventions supporting child health: A scoping review protocol

Silva¹,

Graham²,

Levack³

et al. 2019

NZJP

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eHealth interventions are widely used to support parents in managing children's health behaviours and could be beneficial in supporting physiotherapy home programmes for children with cerebral palsy. The use of technology in health crosses several disciplines, and a conceptual analysis of techniques and models used by these different disciplines could better inform eHealth intervention design. This paper describes a scoping review protocol of parent-focused eHealth interventions using a novel approach to synthesise models from both the health and psychosocial sciences (behaviour change); and computer sciences (persuasive technology behaviour design), specifically the COM-B model and Fogg Behavior Model, respectively. In addition, this paper draws on the broader literature that addresses children with special healthcare needs due to a paucity of research specific to parentfocused eHealth interventions for children with cerebral palsy. The scoping review will follow Arksey and O' Malley's (2005) five-step framework for conducting scoping reviews. This protocol details the search strategy, inclusion and exclusion criteria, data extraction, data mapping, and data synthesis. Results will be disseminated through publication and conferences supporting a rehabilitation and eHealth focus.

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The relationship between persuasive technology principles, adherence and effect of web-Based interventions for mental health: A meta-analysis

Cited by 85 publications

References 66 publications

Apps for Mental Health: An Evaluation of Behavior Change Strategies and Recommendations for Future Development

Apps for Mental Health: An Evaluation of Behavior Change Strategies and Recommendations for Future Development

Persuasive health technology

Persuasive technology and behaviour change in parent-focused eHealth interventions supporting child health: A scoping review protocol

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