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Use Intention and User Expectations of Human-Supported and Self-Help eHealth Interventions: Internet-Based Randomized Controlled Trial

Use Intention and User Expectations of Human-Supported and Self-Help eHealth Interventions: Internet-Based Randomized Controlled Trial

A possible explanation for the low use intention of self-help interventions could be the lack of a relationship with a health care professional [17]. This so-called working alliance, the degree to which a health care professional and patient is involved in a useful and collaborative working relationship [18], is an important predictor of intervention adherence and effectiveness [19,20]. People are more engaged with the intervention and motivated to work on their goals when they feel supported.

Talia R Cohen Rodrigues, Thomas Reijnders, Linda D Breeman, Veronica R Janssen, Roderik A Kraaijenhagen, Douwe E Atsma, Andrea WM Evers

JMIR Form Res 2024;8:e38803

Guide Development for eHealth Interventions Targeting People With a Low Socioeconomic Position: Participatory Design Approach

Guide Development for eHealth Interventions Targeting People With a Low Socioeconomic Position: Participatory Design Approach

A low socioeconomic position (SEP) is associated with a higher prevalence of unhealthy lifestyles compared to a high SEP [6-8]. A large segment of our society comprises people with a low SEP. For instance, in the Netherlands in 2019, there were 574,000 households with incomes below the low-income threshold, accounting for 7.7% of all households [9]. Studies suggest that people with a low SEP face many challenges that impact their health [8,10].

Jasper S Faber, Isra Al-Dhahir, Jos J Kraal, Linda D Breeman, Rita J G van den Berg-Emons, Thomas Reijnders, Sandra van Dijk, Veronica R Janssen, Roderik A Kraaijenhagen, Valentijn T Visch, Niels H Chavannes, Andrea W M Evers

J Med Internet Res 2023;25:e48461

Investigating Rewards and Deposit Contract Financial Incentives for Physical Activity Behavior Change Using a Smartphone App: Randomized Controlled Trial

Investigating Rewards and Deposit Contract Financial Incentives for Physical Activity Behavior Change Using a Smartphone App: Randomized Controlled Trial

A priori sample size calculations with G*Power [38] suggested a minimum sample size of 199 for detecting a between-conditions difference in effectiveness with a medium effect size (f=0.20), 80% power, and an α of .05 (analysis of covariance [ANCOVA] with 5 groups). On the basis of a similar research [39] that showed a relatively high dropout rate between recruitment and participation, we assumed a dropout rate of 20% and aimed to recruit 240 eligible participants.

David R de Buisonjé, Thomas Reijnders, Talia R Cohen Rodrigues, Santhanam Prabhakaran, Tobias Kowatsch, Stefan A Lipman, Tammo H A Bijmolt, Linda D Breeman, Veronica R Janssen, Roderik A Kraaijenhagen, Hareld M C Kemps, Andrea W M Evers

J Med Internet Res 2022;24(10):e38339

The Barriers and Facilitators of eHealth-Based Lifestyle Intervention Programs for People With a Low Socioeconomic Status: Scoping Review

The Barriers and Facilitators of eHealth-Based Lifestyle Intervention Programs for People With a Low Socioeconomic Status: Scoping Review

Adopting a healthy lifestyle, such as smoking cessation, increased physical activity, a balanced diet, and decreased alcohol consumption, can reduce the risk of developing a chronic disease [2]. Traditional lifestyle interventions have been shown to be effective in helping people adopt a healthy lifestyle [3,4].

Isra Al-Dhahir, Thomas Reijnders, Jasper S Faber, Rita J van den Berg-Emons, Veronica R Janssen, Roderik A Kraaijenhagen, Valentijn T Visch, Niels H Chavannes, Andrea W M Evers

J Med Internet Res 2022;24(8):e34229

Design of a Remote Coaching Program to Bridge the Gap From Hospital Discharge to Cardiac Rehabilitation: Intervention Mapping Study

Design of a Remote Coaching Program to Bridge the Gap From Hospital Discharge to Cardiac Rehabilitation: Intervention Mapping Study

A potentially promising strategy for provision of information and support directly after hospital discharge is the use of a remote coaching program. In this study, remote coaching is defined as an online communication system used to provide medical, psychological, and social support to patients at home. Remote coaching programs, as part of a CR program, improve patients’ physical capacity, clinical status, and psychosocial health [9].

Paul Keessen, Ingrid CD van Duijvenbode, Corine HM Latour, Roderik A Kraaijenhagen, Veronica R Janssen, Harald T Jørstad, Wilma JM Scholte op Reimer, Bart Visser

JMIR Cardio 2022;6(1):e34974

Facilitators of and Barriers to Lifestyle Support and eHealth Solutions: Interview Study Among Health Care Professionals Working in Cardiac Care

Facilitators of and Barriers to Lifestyle Support and eHealth Solutions: Interview Study Among Health Care Professionals Working in Cardiac Care

A sense of cohesion through engaging in healthy activities with others is a great motivator: ...an exemplary role, sociability, a social aspect, controlling aspect, when you are part of a group people will ask about you: How are you doing, where were you? All those kind of things play a role. The importance of the social network of patients in providing practical and psychological support was emphasized by 38% (6/16) of HCPs.

Talia R Cohen Rodrigues, David R de Buisonjé, Mike Keesman, Thomas Reijnders, Jessica E van der Geer, Veronica R Janssen, Roderik A Kraaijenhagen, Douwe E Atsma, Andrea W M Evers

J Med Internet Res 2021;23(10):e25646

Evaluating a Web-Based Health Risk Assessment With Tailored Feedback: What Does an Expert Focus Group Yield Compared to a Web-Based End-User Survey?

Evaluating a Web-Based Health Risk Assessment With Tailored Feedback: What Does an Expert Focus Group Yield Compared to a Web-Based End-User Survey?

If a focus group with industrial design engineers would come up with similar issues as revealed by the Web-based survey, a strong point would be made for collecting feedback through this method in a pilot implementation. If these issues were solved in a system’s redesign before its full implementation, end users may perceive the innovation as more valuable, ultimately increasing its adoption rate.

Sandra Vosbergen, Guy R Mahieu, Eva K Laan, Roderik A Kraaijenhagen, Monique WM Jaspers, Niels Peek

J Med Internet Res 2014;16(1):e1

Determinants of Participation in a Web-Based Health Risk Assessment and Consequences for Health Promotion Programs

Determinants of Participation in a Web-Based Health Risk Assessment and Consequences for Health Promotion Programs

The workplace is considered to be an excellent setting for health promotion programs that target these risk factors, not only because a large proportion of the population can be reached, but also because it makes use of a natural social network and can facilitate the creation of a health-conscious environment [2-4]. Web-based interventions serve as a feasible and acceptable delivery method for these programs because they can provide scale at a relatively low cost per employee [5,6].

Maurice AJ A.J. Niessen, Eva L Laan, Suzan JW Robroek, Marie-Louise Essink-Bot, Niels Peek, Roderik A Kraaijenhagen, Coen K Van Kalken, Alex Burdorf

J Med Internet Res 2013;15(8):e151

Evaluation of End-User Satisfaction Among Employees Participating in a Web-based Health Risk Assessment With Tailored Feedback

Evaluation of End-User Satisfaction Among Employees Participating in a Web-based Health Risk Assessment With Tailored Feedback

The HRA consisted of four components: 1) an electronic health and lifestyle assessment questionnaire, 2) a biometric evaluation, 3) a laboratory evaluation, and 4) tailored feedback consisting of a personal health risk profile and lifestyle behavioral advice communicated through a web portal.

Sandra Vosbergen, Eva K Laan, Ersen B Colkesen, Maurice AJ Niessen, Roderik A Kraaijenhagen, Marie-Louise Essink-Bot, Niels Peek

J Med Internet Res 2012;14(5):e140