This paper is in the following e-collection/theme issue:

mHealth for Wellness, Behavior Change and Prevention (2743) Mobile Health (mhealth) (2765) Behavior Change (653) Occupational Health and Ergonomics/Prevention at the Workplace (220)

Published on in Vol 6, No 10 (2018): October

Behavior Change Techniques in mHealth Apps for the Mental and Physical Health of Employees: Systematic Assessment

Behavior Change Techniques in mHealth Apps for the Mental and Physical Health of Employees: Systematic Assessment

Behavior Change Techniques in mHealth Apps for the Mental and Physical Health of Employees: Systematic Assessment

Authors of this article:

Elsbeth de Korte1, 2 Author Orcid Image ;   Noortje Wiezer1 Author Orcid Image ;   Maartje Bakhuys Roozeboom1 Author Orcid Image ;   Peter Vink2 Author Orcid Image ;   Wessel Kraaij1, 3 Author Orcid Image
Article Authors Cited by (25) Tweetations (17) Metrics

Journals

  1. Siqueira do Prado L, Carpentier C, Preau M, Schott A, Dima A. Behavior Change Content, Understandability, and Actionability of Chronic Condition Self-Management Apps Available in France: Systematic Search and Evaluation. JMIR mHealth and uHealth 2019;7(8):e13494 View
  2. Cordova D, Munoz-Velazquez J, Mendoza Lua F, Fessler K, Warner S, Delva J, Adelman N, Fernandez A, Bauermeister J. 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 2020;8(3):e16251 View
  3. Vega-Barbas M, Diaz-Olivares J, Lu K, Forsman M, Seoane F, Abtahi F. P-Ergonomics Platform: Toward Precise, Pervasive, and Personalized Ergonomics using Wearable Sensors and Edge Computing. Sensors 2019;19(5):1225 View
  4. Kraaij W, Verberne S, Koldijk S, de Korte E, van Dantzig S, Sappelli M, Shoaib M, Bosems S, Achterkamp R, Bonomi A, Schavemaker J, Hulsebosch B, Wabeke T, Vollenbroek-Hutten M, Neerincx M, Sinderen M. Personalized support for well-being at work: an overview of the SWELL project. User Modeling and User-Adapted Interaction 2019 View
  5. Biviji R, Vest J, Dixon B, Cullen T, Harle C. Content analysis of behavior change techniques in maternal and infant health apps. Translational Behavioral Medicine 2021;11(2):504 View
  6. Bambale S, Lateef S, Abdulmalik I. Towards Managing Organizational Change: An Empirical Study. Annals of Contemporary Developments in Management & HR 2021;3(2):41 View
  7. Chandrasekaran B, Kundapur P, Rao C. Are free workplace health promotion apps adequately mapped with behavior change theories, techniques and desired features? A content analysis. Translational Behavioral Medicine 2021;11(8):1507 View
  8. Wu X, Guo X, Zhu H. Exploring the human factors for mindfulness in mHealth service usage: An Elaboration Likelihood Model. Information Development 2021;37(3):511 View
  9. Woulfe F, Fadahunsi P, Smith S, Chirambo G, Larsson E, Henn P, Mawkin M, O’ Donoghue J. The Identification and Evaluation of Methodologies to Assess the Quality of mHealth apps in High, Low & Middle-Income Countries: a Rapid Review (Preprint). JMIR mHealth and uHealth 2021 View
  10. Spohrer K, Fallon M, Hoehle H, Heinzl A. Designing Effective Mobile Health Apps: Does Combining Behavior Change Techniques Really Create Synergies?. Journal of Management Information Systems 2021;38(2):517 View
  11. Truelove S, Vanderloo L, Tucker P, Di Sebastiano K, Faulkner G. The use of the behaviour change wheel in the development of ParticipACTION’s physical activity app. Preventive Medicine Reports 2020;20:101224 View
  12. Mäcken J, Wiegand M, Müller M, Krawinkel A, Linnebank M. A Mobile App for Measuring Real Time Fatigue in Patients with Multiple Sclerosis: Introducing the Fimo Health App. Brain Sciences 2021;11(9):1235 View
  13. Manning J, Blandford A, Edbrooke-Childs J. Digital Companion Choice to Support Teachers’ Stress Self-management: Systematic Approach Through Taxonomy Creation. JMIR Formative Research 2022;6(2):e32312 View
  14. Cooper M, Avery L, Scott J, Ashley K, Jordan C, Errington L, Flynn D. Effectiveness and active ingredients of social prescribing interventions targeting mental health: a systematic review. BMJ Open 2022;12(7):e060214 View
  15. Counson I, Bartholomew A, Crawford J, Petrie K, Basarkod G, Moynihan V, Pires J, Cohen R, Glozier N, Harvey S, Sanatkar S. 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 2021;5(12):e26370 View
  16. Jung J, Cho I. Promoting Physical Activity and Weight Loss With mHealth Interventions Among Workers: Systematic Review and Meta-analysis of Randomized Controlled Trials. JMIR mHealth and uHealth 2022;10(1):e30682 View
  17. Cucciniello M, Petracca F, Ciani O, Tarricone R. Development features and study characteristics of mobile health apps in the management of chronic conditions: a systematic review of randomised trials. npj Digital Medicine 2021;4(1) View
  18. Trukeschitz B, Eisenberg S, Schneider C, Schneider U. Exploring the effectiveness of a fitness‐app prototype for home care service users in Austria and Italy. Health & Social Care in the Community 2022;30(5) View
  19. Standen E, Rothman A. Capitalizing on the potential of mobile health applications as behavioral interventions: A research agenda for calorie‐tracking and activity‐tracking applications. Social and Personality Psychology Compass 2023;17(3) View
  20. Jesuthasan J, Low M, Ong T. The Impact of Personalized Human Support on Engagement With Behavioral Intervention Technologies for Employee Mental Health: An Exploratory Retrospective Study. Frontiers in Digital Health 2022;4 View
  21. Lin X, Martinengo L, Jabir A, Ho A, Car J, Atun R, Tudor Car L. 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 2023;25:e45984 View
  22. Paganin G, Margheritti S, Farhane-Medina N, Simbula S, Mazzetti G. Health, Stress and Technologies: Integrating Technology Acceptance and Health Belief Models for Smartphone-Based Stress Intervention. Healthcare 2023;11(23):3030 View
  23. Daniels K, Lemmens R, Knippenberg E, Marinus N, Vonck S, Baerts J, Bergs J, Spooren A, Hansen D, Bonnechère B. 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 2023;11 View

Books/Policy Documents

  1. González Bermúdez A, Bernardos A. Wireless Mobile Communication and Healthcare. View
  2. Erskine J, Fauquet-Alekhine P. The Palgrave Handbook of Occupational Stress. View