ArticleJMIR mHealth and uHealth2018
Behavior Change Techniques in mHealth Apps for the Mental and Physical Health of Employees: Systematic Assessment.
Article in JMIR mHealth and uHealth, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 8 of them syntheses 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.
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Who cites it
25 citing papers in PubMed, 8 syntheses or guidelines pooled it.
- Investigating the approach of using behavior change techniques in the field of mobile applications: a systematic review.BMC health services research · 2025Pooled it
- Behaviour change techniques used in interventions targeting dementia risk factors amongst older adults in rural and remote areas: A systematic review and meta-analysis.The journal of prevention of Alzheimer's disease · 2025Pooled it
- Scope, Characteristics, Behavior Change Techniques, and Quality of Conversational Agents for Mental Health and Well-Being: Systematic Assessment of Apps.Journal of medical Internet research · 2023Pooled it
- Apps targeting anorexia nervosa in young people: a systematic review of active ingredients.Translational behavioral medicine · 2023Pooled it
- Effectiveness and active ingredients of social prescribing interventions targeting mental health: a systematic review.BMJ open · 2022Pooled it
- Promoting Physical Activity and Weight Loss With mHealth Interventions Among Workers: Systematic Review and Meta-analysis of Randomized Controlled Trials.JMIR mHealth and uHealth · 2022Pooled it
- Behavior Change Content, Understandability, and Actionability of Chronic Condition Self-Management Apps Available in France: Systematic Search and Evaluation.JMIR mHealth and uHealth · 2019Pooled it
- Workplace Interventions Targeting Mental Health Literacy, Stigma, Help-Seeking, and Help-Offering in Male-Dominated Industries: A Systematic Review.American journal of men's healthPooled it
- Pilot Study of a Multilevel Mobile Health App for Substance Use, Sexual Risk Behaviors, and Testing for Sexually Transmitted Infections and HIV Among Youth: Randomized Controlled Trial.JMIR mHealth and uHealth · 2020Trial
- Creation of an mHealth Infrastructure to Support the Development and Delivery of mHealth Interventions: Protocol for Demonstration Projects Addressing Smoking Cessation in Cancer Care.JMIR research protocols · 2026Article
- A mobile technology-based tailored health promotion program for sedentary employees: development and usability study.BMC public health · 2025Article
- Article
- Health, Stress and Technologies: Integrating Technology Acceptance and Health Belief Models for Smartphone-Based Stress Intervention.Healthcare (Basel, Switzerland) · 2023Article
- Promoting physical activity and a healthy active lifestyle in community-dwelling older adults: a design thinking approach for the development of a mobile health application.Frontiers in public health · 2023Article
- Exploring the effectiveness of a fitness-app prototype for home care service users in Austria and Italy.Health & social care in the community · 2022Article
- Digital Companion Choice to Support Teachers' Stress Self-management: Systematic Approach Through Taxonomy Creation.JMIR formative research · 2022Article
- The Impact of Personalized Human Support on Engagement With Behavioral Intervention Technologies for Employee Mental Health: An Exploratory Retrospective Study.Frontiers in digital health · 2022Article
- Development of the Shift Smartphone App to Support the Emotional Well-Being of Junior Physicians: Design of a Prototype and Results of Usability and Acceptability Testing.JMIR formative research · 2021Article
- Development features and study characteristics of mobile health apps in the management of chronic conditions: a systematic review of randomised trials.NPJ digital medicine · 2021Review
- A Mobile App for Measuring Real Time Fatigue in Patients with Multiple Sclerosis: Introducing the Fimo Health App.Brain sciences · 2021Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEmployees remain at risk of developing physical and mental health problems. To improve the lifestyle, health, and productivity many workplace interventions have been developed. However, not all of these interventions are effective. Mobile and wireless technology to support health behavior change (mobile health [mHealth] apps) is a promising, but relatively new domain for the occupational setting. Research on mHealth apps for the mental and physical health of employees is scarce. Interventions are more likely to be useful if they are rooted in health behavior change theory. Evaluating the presence of specific combinations of behavior change techniques (BCTs) in mHealth apps might be used as an indicator of potential quality and effectiveness.
objectiveThe aim of this study was to assess whether mHealth apps for the mental and physical health of employees incorporate BCTs and, if so, which BCTs can be identified and which combinations of BCTs are present.
methodsAn assessment was made of apps aiming to reduce the risk of physical and psychosocial work demands and to promote a healthy lifestyle for employees. A systematic search was performed in iTunes and Google Play. Forty-five apps were screened and downloaded. BCTs were identified using a taxonomy applied in similar reviews. The mean and ranges were calculated.
resultsOn average, the apps included 7 of the 26 BCTs (range 2-18). Techniques such as "provide feedback on performance," "provide information about behavior-health link," and "provide instruction" were used most frequently. Techniques that were used least were "relapse prevention," "prompt self-talk," "use follow-up prompts," and "provide information about others' approval." "Stress management," "prompt identification as a role model," and "agree on behavioral contract" were not used by any of the apps. The combination "provide information about behavior-health link" with "prompt intention formation" was found in 7/45 (16%) apps. The combination "provide information about behavior-health link" with "provide information on consequences," and "use follow-up prompts" was found in 2 (4%) apps. These combinations indicated potential effectiveness. The least potentially effective combination "provide feedback on performance" without "provide instruction" was found in 13 (29%) apps.
conclusionsApps for the occupational setting might be substantially improved to increase potential since results showed a limited presence of BCTs in general, limited use of potentially successful combinations of BCTs in apps, and use of potentially unsuccessful combinations of BCTs. Increasing knowledge on the effectiveness of BCTs in apps might be used to develop guidelines for app developers and selection criteria for companies and individuals. Also, this might contribute to decreasing the burden of work-related diseases. To achieve this, app developers, health behavior change professionals, experts on physical and mental health, and end-users should collaborate when developing apps for the working context.
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