The Effect of the eHealth Intervention ‘MyPlan 1.0’ on Physical Activity in Adults Who Visit General Practice: A Quasi-Experimental Trial

Degroote, Laurent; Plaete, Jolien; Bourdeaudhuij, Ilse De; Verloigne, Maïté; Stappen, Vicky Van; Meester, An De; Poppe, Louise; Mispel, Celien Van der; Crombez, Geert

doi:10.3390/ijerph15020228

Cited by 21 publications

(31 citation statements)

References 48 publications

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“…To optimally adapt the online intervention, GPs were consulted in the creation of “MyPlan 1.0” via focus groups [ 12 ], and many of their proposals were taken into account: making use of tablet computers to deliver the intervention, providing different choice options for GPs to introduce the intervention to patients, providing the opportunity for patients to halt and resume the programme, providing a security system to use the tablet in the waiting room, providing attractive posters in the waiting room, providing the opportunity to patients to discuss their tailored feedback and action plans with their GP, and the use of online follow-up modules. “MyPlan 1.0” has been shown to be effective in increasing levels of PA as well as fruit and vegetable intake but has high levels of attrition [ 23 , 24 ].…”

Section: Introductionmentioning

confidence: 99%

Process Evaluation of an eHealth Intervention Implemented into General Practice: General Practitioners’ and Patients’ Views

Poppe

Plaete

Huys

et al. 2018

IJERPH

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(1) Background: It has been shown that online interventions can be enhanced by providing additional support; accordingly, we developed an implementation plan for the use of an eHealth intervention targeting physical activity and healthy nutrition in collaboration with general practitioners (GPs). In this study, GPs and patients evaluated the actual implementation; (2) Methods: Two hundred and thirty two patients completed the feasibility questionnaire regarding the implementation of “MyPlan 1.0” in general practice. Individual interviews were conducted with 15 GPs who implemented “MyPlan 1.0” into their daily work flow; (3) Results: The majority of the patients indicated that general practice was an appropriate setting to implement the online intervention. However, patients were not personally addressed by GPs and advice/action plans were not discussed with the GPs. The GPs indicated that this problem was caused by the severe time restrictions in general practice. GPs also seemed to select those patients who they believed to be able to use (e.g., highly educated patients) and to benefit from the intervention (e.g., patients with overweight); (4) Conclusions: Although GPs were involved in the development of the online intervention and its implementation plan, the programme was not used in general practice as intended.

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Section: Introductionmentioning

confidence: 99%

Process Evaluation of an eHealth Intervention Implemented into General Practice: General Practitioners’ and Patients’ Views

Poppe

Plaete

Huys

et al. 2018

IJERPH

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“…Four mixed methods studies were rated ranging from 66% (10/15 items) to over 80% (13/15 items) [ 18 , 32 – 34 ]. The rest of the articles were rated 60% (3/5 items, n = 10) [ 20 , 35 – 43 ] or 80% (4/5 items, n = 12) [ 21 , 44 – 54 ]. The MMAT scores are presented in Table 2 and Additional file 1 .…”

Section: Resultsmentioning

confidence: 99%

Usability and utility of eHealth for physical activity counselling in primary health care: a scoping review

2020

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Background Physical activity (PA) counselling is an effective approach to promote PA in primary health care (PHC). Barriers to PA counselling in PHC include time constraints, lack of knowledge and skills of providers, and systemic barriers. Using electronic health (eHealth) has the potential to promote PA. This scoping review aimed to identify usability and utility of eHealth for tailored PA counselling introduced in PHC settings. Methods A scoping review included primary research articles. The authors systematically searched six databases (Cochrane Library, CINAHL Complete, Embase, PubMed, Scopus and Web of Science) from the inception of the databases. The search terms consisted of three search components: intervention (PA counselling), platform (eHealth), and setting (PHC). Additional articles were included through reference lists. The inclusion criteria were research or original articles with any study designs in adult participants. Results Of 2501 articles after duplicate removal, 2471 articles were excluded based on the title and abstract screening and full text review. A total of 30 articles were included for synthesis. The eHealth tools had a wide range of counselling domains as a stand-alone PA domain and multiple health behaviours. The included articles presented mixed findings of usability and utility of eHealth for PA counselling among patients and providers in PHC settings. Technical problems and the complexity of the programmes were highlighted as barriers to usability. The majority of articles reported effective utility, however, several articles stated unfavourable outcomes. Conclusions eHealth has the potential to support PA counselling in PHC. Facilitators and barriers to eHealth usability should be considered and adapted to particular settings and contexts. The utility of eHealth for promoting PA among patients should be based on the pragmatic basis to optimise resources.

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“…It aims to increase physical activity and decrease sedentary behavior in adults and is designed and created by our research group. “MyPlan 2.0” is based on a previous version named “MyPlan 1.0” [ 33 ], which was effective in changing health behaviors [ 21 , 33 - 35 ]. However, the quantitative research with “MyPlan 1.0” revealed high levels of nonusage attrition [ 36 ].…”

Section: Methodsmentioning

confidence: 99%

How Users Experience and Use an eHealth Intervention Based on Self-Regulation: Mixed-Methods Study

et al. 2018

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BackgroundeHealth interventions show stronger effects when informed by solid behavioral change theories; for example, self-regulation models supporting people in translating vague intentions to specific actions have shown to be effective in altering health behaviors. Although these theories inform developers about which behavioral change techniques should be included, they provide limited information about how these techniques can be engagingly implemented in Web-based interventions. Considering the high levels of attrition in eHealth, investigating users’ experience about the implementation of behavior change techniques might be a fruitful avenue.ObjectiveThe objective of our study was to investigate how users experience the implementation of self-regulation techniques in a Web-based intervention targeting physical activity and sedentary behavior in the general population.MethodsIn this study, 20 adults from the general population used the intervention for 5 weeks. Users’ website data were explored, and semistructured interviews with each of the users were performed. A directed content analysis was performed using NVivo Software.ResultsThe techniques “providing feedback on performance,” “action planning,” and “prompting review of behavioral goals” were appreciated by users. However, the implementation of “barrier identification/problem solving” appeared to frustrate users; this was also reflected by the users’ website data—many coping plans were of poor quality. Most users were well aware of the benefits of adopting a more active way of living and stated not to have learned novel information. However, they appreciated the provided information because it reminded them about the importance of having an active lifestyle. Furthermore, prompting users to self-monitor their behavioral change was not sufficiently stimulating to make users actually monitor their behavior.ConclusionsIteratively involving potential end users offers guidance to optimally adapt the implementation of various behavior change techniques to the target population. We recommend creating short interventions with a straightforward layout that support users in creating and evaluating specific plans for action.

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The Effect of the eHealth Intervention ‘MyPlan 1.0’ on Physical Activity in Adults Who Visit General Practice: A Quasi-Experimental Trial

Cited by 21 publications

References 48 publications

Process Evaluation of an eHealth Intervention Implemented into General Practice: General Practitioners’ and Patients’ Views

Process Evaluation of an eHealth Intervention Implemented into General Practice: General Practitioners’ and Patients’ Views

Usability and utility of eHealth for physical activity counselling in primary health care: a scoping review

How Users Experience and Use an eHealth Intervention Based on Self-Regulation: Mixed-Methods Study

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