ArticlePloS one2017
Users' thoughts and opinions about a self-regulation-based eHealth intervention targeting physical activity and the intake of fruit and vegetables: A qualitative study.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Toward a Digital Platform for the Self-Management of Noncommunicable Disease: Systematic Review of Platform-Like Interventions.Journal of medical Internet research · 2020Pooled it
- Investigating When, Which, and Why Users Stop Using a Digital Health Intervention to Promote an Active Lifestyle: Secondary Analysis With A Focus on Health Action Process Approach-Based Psychological Determinants.JMIR mHealth and uHealth · 2022Trial
- Results of MyPlan 2.0 on Physical Activity in Older Belgian Adults: Randomized Controlled Trial.Journal of medical Internet research · 2019Trial
- Efficacy of a Self-Regulation-Based Electronic and Mobile Health Intervention Targeting an Active Lifestyle in Adults Having Type 2 Diabetes and in Adults Aged 50 Years or Older: Two Randomized Controlled Trials.Journal of medical Internet research · 2019Trial
- Systematic review of dynamically tailored eHealth interventions targeting physical activity and healthy diet in chronic disease.NPJ digital medicine · 2025Article
- Identifying app components that promote physical activity: a group concept mapping study.PeerJ · 2024Article
- The Healthy Hearts Project: Development and evaluation of a website for cardiovascular risk assessment and visualisation and self-management through healthy lifestyle goal-setting.PLOS digital health · 2023Article
- Article
- Users' needs for a digital smoking cessation application and how to address them: A mixed-methods study.PeerJ · 2022Article
- Conceptualizing Usability for the eHealth Context: Content Analysis of Usability Problems of eHealth Applications.JMIR formative research · 2021Article
- Evaluating Digital Program Support for the Physical Activity 4 Everyone (PA4E1) School Program: Mixed Methods Study.JMIR pediatrics and parenting · 2021Article
- Effectiveness of the mHealth intervention 'MyDayPlan' to increase physical activity: an aggregated single case approach.The international journal of behavioral nutrition and physical activity · 2021Article
- Article
- Acceptability and feasibility of the mHealth intervention 'MyDayPlan' to increase physical activity in a general adult population.BMC public health · 2020Article
- Article
- A Self-Regulation-Based eHealth and mHealth Intervention for an Active Lifestyle in Adults With Type 2 Diabetes: Protocol for a Randomized Controlled Trial.JMIR research protocols · 2019Article
- How Users Experience and Use an eHealth Intervention Based on Self-Regulation: Mixed-Methods Study.Journal of medical Internet research · 2018Article
- What do Sport and Exercise Medicine (SEM) doctors look like online? A cross-sectional exploration of the social media presence of SEM doctors in the UK.BMJ open sport & exercise medicine · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeEHealth interventions are effective in changing health behaviours, such as increasing physical activity and altering dietary habits, but suffer from high attrition rates. In order to create interventions that are adapted to end-users, in-depth investigations about their opinions and preferences are required. As opinions and preferences may vary for different target groups, we explored these in two groups: the general population and a clinical sample.
methodsTwenty adults from the general population (mean age = 42.65, 11 women) and twenty adults with type 2 diabetes (mean age = 64.30, 12 women) performed 'MyPlan 1.0', which is a self-regulation-based eHealth intervention designed to increase physical activity and the intake of fruit and vegetables in the general population. The opinions and preferences of end-users were explored using a think aloud procedure and a questionnaire. During a home visit, participants were invited to think aloud while performing 'MyPlan 1.0'. The thoughts were transcribed verbatim and inductive thematic analysis was applied.
resultsBoth groups had similar opinions regarding health behaviours and 'MyPlan 1.0'. Participants generally liked the website, but often experienced it as time-consuming. Furthermore, they regularly mentioned that a mobile application would be useful to remind them about their goals on a daily basis. Finally, users' ideas about how to pursue health behaviours often hindered them to correctly use the website.
conclusionsAlthough originally created for the general population, 'MyPlan 1.0' can also be used in adults with type 2 diabetes. Nevertheless, more adaptations are needed to make the eHealth intervention more convenient and less time-consuming. Furthermore, users' ideas regarding a healthy lifestyle should be taken into account when designing online interventions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.