Published on in Vol 6, No 4 (2018): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9187, first published .
Interactive Two-Way mHealth Interventions for Improving Medication Adherence: An Evaluation Using The Behaviour Change Wheel Framework

Interactive Two-Way mHealth Interventions for Improving Medication Adherence: An Evaluation Using The Behaviour Change Wheel Framework

Interactive Two-Way mHealth Interventions for Improving Medication Adherence: An Evaluation Using The Behaviour Change Wheel Framework

Journals

  1. Liu A, Vittinghoff E, von Felten P, Rivet Amico K, Anderson P, Lester R, Andrew E, Estes I, Serrano P, Brothers J, Buchbinder S, Hosek S, Fuchs J. Randomized Controlled Trial of a Mobile Health Intervention to Promote Retention and Adherence to Preexposure Prophylaxis Among Young People at Risk for Human Immunodeficiency Virus: The EPIC Study. Clinical Infectious Diseases 2019;68(12):2010 View
  2. Campbell A, Kinvig K, Côté H, Lester R, Qiu A, Maan E, Alimenti A, Pick N, Murray M. Health Care Provider Utilization and Cost of an mHealth Intervention in Vulnerable People Living With HIV in Vancouver, Canada: Prospective Study. JMIR mHealth and uHealth 2018;6(7):e152 View
  3. Knudson A, Shaw S, Yin L, Xiao D, Qian H, Sullivan S, Liu H, Ruan Y, Shao Y, Vermund S, Amico K. Exploration of Implementation Patterns and Content from a Text-Based Outreach Intervention Clinical Trial for Newly Diagnosed, HIV-Positive MSM in Beijing, China. AIDS and Behavior 2019;23(5):1158 View
  4. Klonoff D. Behavioral Theory: The Missing Ingredient for Digital Health Tools to Change Behavior and Increase Adherence. Journal of Diabetes Science and Technology 2019;13(2):276 View
  5. Mills E, Lester R. Mobile phone-enabled adherence in HIV/AIDS. The Lancet Digital Health 2019;1(1):e4 View
  6. Saha A, Henderson M. Developing Mobile Health Tools for Long-term Medication Adherence in Transplant Patients?. Transplantation 2020;104(3):456 View
  7. Garg P, Uppal L, Mehra S, Mehra D. Mobile Health App for Self-Learning on HIV Prevention Knowledge and Services Among a Young Indonesian Key Population: Cohort Study. JMIR mHealth and uHealth 2020;8(9):e17646 View
  8. Lester R, Park J, Bolten L, Enjetti A, Johnston J, Schwartzman K, Tilahun B, Delft A. Mobile phone short message service for adherence support and care of patients with tuberculosis infection: Evidence and opportunity. Journal of Clinical Tuberculosis and Other Mycobacterial Diseases 2019;16:100108 View
  9. Witzel T, Weatherburn P, Bourne A, Rodger A, Bonell C, Gafos M, Trevelion R, Speakman A, Lampe F, Ward D, Dunn D, Gabriel M, McCabe L, Harbottle J, Collaco Moraes Y, Michie S, Phillips A, McCormack S, Burns F. Exploring Mechanisms of Action: Using a Testing Typology to Understand Intervention Performance in an HIV Self-Testing RCT in England and Wales. International Journal of Environmental Research and Public Health 2020;17(2):466 View
  10. Witzel T, Gabriel M, McCabe L, Weatherburn P, Gafos M, Speakman A, Pebody R, Burns F, Bonell C, Lampe F, Dunn D, Ward D, Harbottle J, Phillips A, McCormack S, Rodger A. Pilot phase of an internet-based RCT of HIVST targeting MSM and transgender people in England and Wales: advertising strategies and acceptability of the intervention. BMC Infectious Diseases 2019;19(1) View
  11. Donevant S, Estrada R, Culley J, Habing B, Adams S. Exploring app features with outcomes in mHealth studies involving chronic respiratory diseases, diabetes, and hypertension: a targeted exploration of the literature. Journal of the American Medical Informatics Association 2018;25(10):1407 View
  12. Alves da Costa F, Rydant S, Antoniou S. The patient pathway in cardiovascular care: A position paper from the International Pharmacists for Anticoagulation Care Taskforce (iPACT). Journal of Evaluation in Clinical Practice 2020;26(2):670 View
  13. Mao X, Zhao X, Liu Y. mHealth App recommendation based on the prediction of suitable behavior change techniques. Decision Support Systems 2020;132:113248 View
  14. Mwaisaka J, Gonsalves L, Thiongo M, Waithaka M, Sidha H, Alfred O, Mukiira C, Gichangi P. Young People’s Experiences Using an On-Demand Mobile Health Sexual and Reproductive Health Text Message Intervention in Kenya: Qualitative Study. JMIR mHealth and uHealth 2021;9(1):e19109 View
  15. Osei E, Kuupiel D, Vezi P, Mashamba-Thompson T. Mapping evidence of mobile health technologies for disease diagnosis and treatment support by health workers in sub-Saharan Africa: a scoping review. BMC Medical Informatics and Decision Making 2021;21(1) View
  16. Arden M, Hutchings M, Whelan P, Drabble S, Beever D, Bradley J, Hind D, Ainsworth J, Maguire C, Cantrill H, O’Cathain A, Wildman M. Development of an intervention to increase adherence to nebuliser treatment in adults with cystic fibrosis: CFHealthHub. Pilot and Feasibility Studies 2021;7(1) View
  17. Osei E, Mashamba-Thompson T. Mobile health applications for disease screening and treatment support in low-and middle-income countries: A narrative review. Heliyon 2021;7(3):e06639 View
  18. Musgrave L, Baum A, Perera N, Homer C, Gordon A. Baby Buddy App for Breastfeeding and Behavior Change: Retrospective Study of the App Using the Behavior Change Wheel. JMIR mHealth and uHealth 2021;9(4):e25668 View
  19. Workman A, Jones P, Wheeler A, Campbell S, Williamson G, Lucani C, Bowman D, Cooling N, Johnston F. Environmental Hazards and Behavior Change: User Perspectives on the Usability and Effectiveness of the AirRater Smartphone App. International Journal of Environmental Research and Public Health 2021;18(7):3591 View
  20. Gashu K, Gelaye K, Lester R, Tilahun B. Effect of a phone reminder system on patient-centered tuberculosis treatment adherence among adults in Northwest Ethiopia: a randomised controlled trial. BMJ Health & Care Informatics 2021;28(1):e100268 View
  21. Habib B, Buckeridge D, Bustillo M, Marquez S, Thakur M, Tran T, Weir D, Tamblyn R. Smart About Meds (SAM): a pilot randomized controlled trial of a mobile application to improve medication adherence following hospital discharge. JAMIA Open 2021;4(3) View
  22. Kim M, Kim Y, Choi M. Development of an Ecological Momentary Assessment-Triggered Text Message Library for Peripheral Artery Disease. Western Journal of Nursing Research 2023;45(5):469 View
  23. Balaji D, He L, Giani S, Bosse T, Wiers R, de Bruijn G, Hogben M. Effectiveness and acceptability of conversational agents for sexual health promotion: a systematic review and meta-analysis. Sexual Health 2022;19(5):391 View
  24. Manby L, Aicken C, Delgrange M, Bailey J. Effectiveness of eHealth Interventions for HIV Prevention and Management in Sub-Saharan Africa: Systematic Review and Meta-analyses. AIDS and Behavior 2022;26(2):457 View
  25. Zahed K, Fields S, Sasangohar F. Investigating the Efficacy of Behavioral Models to Predict Use of Health Technology: A Scoping Review. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2022;66(1):2172 View
  26. Pascoe S, Fox M, Kane J, Mngadi S, Manganye P, Long L, Metz K, Allen T, Sardana S, Greener R, Zheng A, Thea D, Murray L. Study protocol: A randomised trial of the effectiveness of the Common Elements Treatment Approach (CETA) for improving HIV treatment outcomes among women experiencing intimate partner violence in South Africa. BMJ Open 2022;12(12):e065848 View
  27. Kibu O, Siysi V, Albert Legrand S, Asangbeng Tanue E, Nsagha D, Wang M. Treatment Adherence among HIV and TB Patients Using Single and Double Way Mobile Phone Text Messages: A Randomized Controlled Trial. Journal of Tropical Medicine 2022;2022:1 View
  28. Donovan G, Hall N, Ling J, Smith F, Wilkes S. Influencing medication taking behaviors using automated two‐way digital communication: A narrative synthesis systematic review informed by the Behavior Change Wheel. British Journal of Health Psychology 2022;27(3):861 View
  29. Agnew J, Hanratty C, McVeigh J, Nugent C, Kerr D. An Investigation Into the Use of mHealth in Musculoskeletal Physiotherapy: Scoping Review. JMIR Rehabilitation and Assistive Technologies 2022;9(1):e33609 View
  30. Zhong W, Lin L, Gong X, Chen Z, Chen Y, Yan S, Zhou Y, Zhang X, Hu H, Tong L, Cheng C, Gu Q, Chen Y, Yu X, Huang Y, Yuan C, Lou M, Willey J. Evaluation of a multicomponent intervention to shorten thrombolytic door-to-needle time in stroke patients in China (MISSION): A cluster-randomized controlled trial. PLOS Medicine 2022;19(7):e1004034 View
  31. Bennett R, Bucks R, Saulsman L, Pachana N, Eikelboom R, Meyer C. Use of the Behaviour Change Wheel to design an intervention to improve the provision of mental wellbeing support within the audiology setting. Implementation Science Communications 2023;4(1) View
  32. Flowers P, Leiser R, Mapp F, McLeod J, Stirrup O, Illingworth C, Blackstone J, Breuer J. A qualitative process evaluation using the behaviour change wheel approach: Did a whole genome sequence report form (SRF) used to reduce nosocomial SARS‐CoV‐2 within UK hospitals operate as anticipated?. British Journal of Health Psychology 2023;28(4):1011 View
  33. Killian M, Schelbe L, Lustria M, Watkivs M, Gupta D. Engaging Adolescent Heart Transplant Recipients Through In-App Messaging During Mobile Health Intervention. Progress in Transplantation 2023;33(3):229 View
  34. MacPherson M, Kapadia S. Barriers and facilitators to patient-to-provider messaging using the COM-B model and theoretical domains framework: a rapid umbrella review. BMC Digital Health 2023;1(1) View
  35. Mokaya M, Kyallo F, Yiga P, Koole J, Boedt T, Vangoitsenhoven R, Matthys C. Designing Mobile Phone Text Messages Using the Behavior Change Wheel Framework to Influence Food Literacy in Adults With Type 2 Diabetes in Kenya: Protocol for a Systematic Development Study. JMIR Research Protocols 2023;12:e48271 View
  36. Addo-Lartey A, Bonful H, Sefenu R, Abagre T, Asamoah A, Bandoh D, Awua A, Adu-Aryee N, Dedey F, Adanu R, Okuyemi K. Effectiveness of a culturally tailored text messaging program for promoting cervical cancer screening in accra, Ghana: a quasi-experimental trial. BMC Women's Health 2024;24(1) View
  37. Liu A, Alleyne C, Doblecki-Lewis S, Koester K, Gonzalez R, Vinson J, Scott H, Buchbinder S, Torres T. Adapting mHealth Interventions (PrEPmate and DOT Diary) to Support PrEP Retention in Care and Adherence Among English and Spanish-Speaking Men Who Have Sex With Men and Transgender Women in the United States: Formative Work and Pilot Randomized Trial. JMIR Formative Research 2024;8:e54073 View
  38. Cao W, Cao X. Facilitating patient portal engagement: a channel expansion and behavior change wheel perspective. Frontiers in Communication 2024;9 View
  39. Ackermann D, Hersch J, Janda M, Bracken K, Turner R, Bell K. Using the Behaviour Change Wheel to identify barriers and targeted strategies to improve adherence in randomised clinical trials: The example of MEL-SELF trial of patient-led surveillance for melanoma. Contemporary Clinical Trials 2024;140:107513 View
  40. Mei C. Application of e-learning and new media teaching platform based on human computer interaction technology in civil and commercial law courses. Entertainment Computing 2024;50:100677 View
  41. Kwena Z, Oketch B, Beres L, Lewis-Kulzer J, Akama E, Sang N, Adhiambo H, Iguna S, Ontuga G, Nyandieka E, Shade S, Bukusi E, Geng E, Abuogi L. User-informed tailoring of electronic and in-person peer navigation strategies to improve retention in HIV care for adolescents and young adults: a qualitative inquiry. AIDS Care 2024;36(7):993 View
  42. Garcia I, Luoto J, Aboud F, Jervis P, Mwoma T, Alu E, Odhiambo A. In-person versus remote (mHealth) delivery for a responsive parenting intervention in rural Kenya: a cluster randomized controlled trial. BMC Public Health 2024;24(1) View
  43. Suresh Kumar S, Connolly P, Maier A. Considering User Experience and Behavioral Approaches in the Design of mHealth Interventions for Atrial Fibrillation: Systematic Review. Journal of Medical Internet Research 2024;26:e54405 View

Books/Policy Documents

  1. . Design and Quality Considerations for Developing Mobile Apps for Medication Management. View
  2. Farhat-ul-Ain , Popovitš O, Tomberg V. Human-Computer Interaction. User Experience and Behavior. View