Published on in Vol 22, No 5 (2020): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16629, first published .
A Highly Tailored Text and Voice Messaging Intervention to Improve Medication Adherence in Patients With Either or Both Hypertension and Type 2 Diabetes in a UK Primary Care Setting: Feasibility Randomized Controlled Trial of Clinical Effectiveness

A Highly Tailored Text and Voice Messaging Intervention to Improve Medication Adherence in Patients With Either or Both Hypertension and Type 2 Diabetes in a UK Primary Care Setting: Feasibility Randomized Controlled Trial of Clinical Effectiveness

A Highly Tailored Text and Voice Messaging Intervention to Improve Medication Adherence in Patients With Either or Both Hypertension and Type 2 Diabetes in a UK Primary Care Setting: Feasibility Randomized Controlled Trial of Clinical Effectiveness

Journals

  1. Kassavou A, A’Court C, Chauhan J, Brimicombe J, Bhattacharya D, Naughton F, Hardeman W, Mascolo C, Sutton S. Assessing the acceptability of a text messaging service and smartphone app to support patient adherence to medications prescribed for high blood pressure: a pilot study. Pilot and Feasibility Studies 2020;6(1) View
  2. Klonoff D, Zhang J, Shang T, Mehta C, Kerr D. Pharmacoadherence: An Opportunity for Digital Health to Inform the Third Dimension of Pharmacotherapy for Diabetes. Journal of Diabetes Science and Technology 2021;15(1):177 View
  3. Vluggen S, Candel M, Hoving C, Schaper N, de Vries H. A Web-Based Computer-Tailored Program to Improve Treatment Adherence in Patients With Type 2 Diabetes: Randomized Controlled Trial. Journal of Medical Internet Research 2021;23(2):e18524 View
  4. Kassavou A, Mirzaei V, Shpendi S, Brimicombe J, Chauhan J, Bhattacharya D, Naughton F, Hardeman W, Eborall H, Van Emmenis M, De Simoni A, Takhar A, Gupta P, Patel P, Mascolo C, Prevost A, Morris S, Griffin S, McManus R, Mant J, Sutton S. The feasibility of the PAM intervention to support treatment-adherence in people with hypertension in primary care: a randomised clinical controlled trial. Scientific Reports 2021;11(1) View
  5. Kaufman N, Clements M, Mel E. Using Digital Health Technology to Prevent and Treat Diabetes. Diabetes Technology & Therapeutics 2021;23(S2):S-85 View
  6. Comtois K, Mata-Greve F, Johnson M, Pullmann M, Mosser B, Arean P. Effectiveness of Mental Health Apps for Distress During COVID-19 in US Unemployed and Essential Workers: Remote Pragmatic Randomized Clinical Trial. JMIR mHealth and uHealth 2022;10(11):e41689 View
  7. Pranata S, Wu S, Wang T, Liang S, Chuang Y, Lu K, Khoiriyah K. Discovering Elements and Developing Strategies to Implement the Tailored Care Education for Patients with Diabetes through A Systematic Review. Nurse Media Journal of Nursing 2022;12(1):75 View
  8. Donovan G, Hall N, Smith F, Ling J, Wilkes S. Two-way Automated Text Messaging Support From Community Pharmacies for Medication Taking in Multiple Long-term Conditions: Human-Centered Design With Nominal Group Technique Development Study. JMIR Formative Research 2022;6(12):e41735 View
  9. Kassavou A, Court C, Mirzaei V, Brimicombe J, Edwards S, Sutton S. Process Evaluation of MAPS: A Highly Tailored Digital Intervention to Support Medication Adherence in Primary Care Setting. Frontiers in Public Health 2021;9 View
  10. Bartlett Y, Farmer A, Newhouse N, Miles L, Kenning C, French D. Effects of Using a Text Message Intervention on Psychological Constructs and the Association Between Changes to Psychological Constructs and Medication Adherence in People With Type 2 Diabetes: Results From a Randomized Controlled Feasibility Study. JMIR Formative Research 2022;6(4):e30058 View
  11. Brewer L, Jones C, Slusser J, Pasha M, Lalika M, Chacon M, Takawira P, Shanedling S, Erickson P, Woods C, Krogman A, Ferdinand D, Underwood P, Cooper L, Patten C, Hayes S. mHealth Intervention for Promoting Hypertension Self-management Among African American Patients Receiving Care at a Community Health Center: Formative Evaluation of the FAITH! Hypertension App. JMIR Formative Research 2023;7:e45061 View
  12. Zamanillo-Campos R, Fiol-deRoque M, Serrano-Ripoll M, Mira-Martínez S, Ricci-Cabello I. Development and evaluation of DiabeText, a personalized mHealth intervention to support medication adherence and lifestyle change behaviour in patients with type 2 diabetes in Spain: A mixed-methods phase II pragmatic randomized controlled clinical trial. International Journal of Medical Informatics 2023;176:105103 View
  13. Ferreira P, Teston E, Carvalho B, Silva J, Reis P, Rossi R, Marcon S. FATORES ASSOCIADOS A NÃO ADESÃO TERAPÊUTICA EM PESSOAS COM HIPERTENSÃO QUE PROCURARAM ASSISTÊNCIA POR EMERGÊNCIA. Cogitare Enfermagem 2023;28 View
  14. Ferreira P, Teston E, Carvalho B, Silva J, Reis P, Rossi R, Marcon S. FACTORS ASSOCIATED WITH THERAPEUTIC NON-ADHERENCE AMONG HYPERTENSIVE INDIVIDUALS WHO SEEK EMERGENCY CARE. Cogitare Enfermagem 2023;28 View
  15. Ferreira P, Teston E, Carvalho B, Silva J, Reis P, Rossi R, Marcon S. FACTORES ASOCIADOS A LA NO ADHESIÓN A LA TERAPIA EN PERSONAS HIPERTENSAS QUE BUSCAN ASISTENCIA POR EMERGENCIAS. Cogitare Enfermagem 2023;28 View
  16. Nayak A, Vakili S, Nayak K, Nikolov M, Chiu M, Sosseinheimer P, Talamantes S, Testa S, Palanisamy S, Giri V, Schulman K. Use of Voice-Based Conversational Artificial Intelligence for Basal Insulin Prescription Management Among Patients With Type 2 Diabetes. JAMA Network Open 2023;6(12):e2340232 View
  17. Tuzon J, Mulkey D. Implementing mobile text messaging on glycemic control in patients with diabetes mellitus. Journal of the American Association of Nurse Practitioners 2024 View
  18. Lauffenburger J, Yom-Tov E, Keller P, McDonnell M, Crum K, Bhatkhande G, Sears E, Hanken K, Bessette L, Fontanet C, Haff N, Vine S, Choudhry N. The impact of using reinforcement learning to personalize communication on medication adherence: findings from the REINFORCE trial. npj Digital Medicine 2024;7(1) View