Designing Patient-Centered Text Messaging Interventions for Increasing Physical Activity Among Participants With Type 2 Diabetes: Qualitative Results From the Text to Move Intervention

Journals

1. Rossen J, Lööf H, Yngve A, Hagströmer M, Brismar K, Johansson U. ‘This is why I’m doing a lot of exercise’ — a qualitative study of participant’s experiences of the Sophia Step Study. International Diabetes Nursing 2017;14(2-3):99 View
2. Hovadick A, Reis I, Torres H. Short Message Service (SMS) e promoção do autocuidado em DM2: revisão integrativa. Acta Paulista de Enfermagem 2019;32(2):210 View
3. Lieffers J, Haresign H, Mehling C, Arocha J, Hanning R. A Qualitative Evaluation of Contact Centre Dietitian Support and Electronic Motivational Messaging for eaTracker My Goals Users. Canadian Journal of Dietetic Practice and Research 2018;79(2):67 View
4. Abroms L, Heminger C, Boal A, Van Alstyne J, Krishnan N. Text2Quit: an analysis of user experiences with a mobile smoking cessation program. Journal of Smoking Cessation 2020;15(1):23 View
5. Hashimoto D, Rosman G, Rus D, Meireles O. Artificial Intelligence in Surgery: Promises and Perils. Annals of Surgery 2018;268(1):70 View
6. Valentiner L, Thorsen I, Kongstad M, Brinkløv C, Larsen R, Karstoft K, Nielsen J, Pedersen B, Langberg H, Ried-Larsen M, Stepto N. Effect of ecological momentary assessment, goal-setting and personalized phone-calls on adherence to interval walking training using the InterWalk application among patients with type 2 diabetes—A pilot randomized controlled trial. PLOS ONE 2019;14(1):e0208181 View
7. Schoenthaler A, Leon M, Butler M, Steinhaeuser K, Wardzinski W. Development and Evaluation of a Tailored Mobile Health Intervention to Improve Medication Adherence in Black Patients With Uncontrolled Hypertension and Type 2 Diabetes: Pilot Randomized Feasibility Trial. JMIR mHealth and uHealth 2020;8(9):e17135 View
8. Molina-Recio G, Molina-Luque R, Jiménez-García A, Ventura-Puertos P, Hernández-Reyes A, Romero-Saldaña M. Proposal for the User-Centered Design Approach for Health Apps Based on Successful Experiences: Integrative Review. JMIR mHealth and uHealth 2020;8(4):e14376 View
9. Avila-Garcia P, Hernandez-Ramos R, Nouri S, Cemballi A, Sarkar U, Lyles C, Aguilera A. Engaging users in the design of an mHealth, text message-based intervention to increase physical activity at a safety-net health care system. JAMIA Open 2019;2(4):489 View
10. Arens J, Hauth W, Weissmann J. Novel App- and Web-Supported Diabetes Prevention Program to Promote Weight Reduction, Physical Activity, and a Healthier Lifestyle: Observation of the Clinical Application. Journal of Diabetes Science and Technology 2018;12(4):831 View
11. Langford A, Wang B, Orzeck-Byrnes N, Aidasani S, Hu L, Applegate M, Moloney D, Sevick M, Rogers E, Levy N. Sociodemographic and clinical correlates of key outcomes from a Mobile Insulin Titration Intervention (MITI) for medically underserved patients. Patient Education and Counseling 2019;102(3):520 View
12. Ballin M, Hult A, Björk S, Dinsmore J, Nordström P, Nordström A. Digital exercise interventions for improving measures of central obesity: a systematic review. International Journal of Public Health 2020;65(5):593 View
13. Sezgin E, Weiler M, Weiler A, Lin S. Proposing an Ecosystem of Digital Health Solutions for Teens With Chronic Conditions Transitioning to Self-Management and Independence: Exploratory Qualitative Study. Journal of Medical Internet Research 2018;20(9):e10285 View
14. Krishnan N, Gu J, Abroms L. Mobile phone-based messaging for tobacco cessation in low and middle-income countries: A systematic review. Addictive Behaviors 2021;113:106676 View
15. Sahin C, Courtney K, Naylor P, Rhodes R. Patients’ Evaluations of Mobile Text Messaging Studies for Type 2 Diabetes Management: A Systematic Review and a Meta-Synthesis. Journal of Technology in Behavioral Science 2021;6(1):54 View
16. Whelan M, Denton F, Bourne C, Kingsnorth A, Sherar L, Orme M, Esliger D. A digital lifestyle behaviour change intervention for the prevention of type 2 diabetes: a qualitative study exploring intuitive engagement with real-time glucose and physical activity feedback. BMC Public Health 2021;21(1) View
17. Middleton M, Somerset S, Evans C, Blake H. Test@Work Texts: Mobile Phone Messaging to Increase Awareness of HIV and HIV Testing in UK Construction Employees during the COVID-19 Pandemic. International Journal of Environmental Research and Public Health 2020;17(21):7819 View
18. Nelligan R, Hinman R, Teo P, Bennell K. Exploring Attitudes and Experiences of People With Knee Osteoarthritis Toward a Self-Directed eHealth Intervention to Support Exercise: Qualitative Study. JMIR Rehabilitation and Assistive Technologies 2020;7(2):e18860 View
19. Rodrigues da Silva A, De Carvalho Neto F, Rosa Guimarães M, Alves Bernardes R, Reges Brito V, Vilarouca da Silva A. <b> Tecnologia móvel no cuidado com os pés em pessoas com diabetes mellitus: Revisão Integrativa / Mobile technology to promotefoot management among people with diabetes mellitus: An Integrative Review <b>. Ciência, Cuidado e Saúde 2020;19 View
20. St Quinton T, Morris B, Barwood M, Conner M. Promoting physical activity through text messages: the impact of attitude and goal priority messages. Health Psychology and Behavioral Medicine 2021;9(1):165 View
21. Mehraeen E, Noori T, Nazeri Z, Heydari M, Mehranfar A, Moghaddam H, Aghamohammadi V. Identifying features of a mobile-based application for self-care of people living with T2DM. Diabetes Research and Clinical Practice 2021;171:108544 View
22. Mangano A, Valle V, Dreifuss N, Aguiluz G, Masrur M. Role of Artificial Intelligence (AI) in Surgery: Introduction, General Principles, and Potential Applications. Surgical Technology Online 2020 View
23. Wynn C, Catallozzi M, Kolff C, Holleran S, Meyer D, Ramakrishnan R, Stockwell M. Personalized Reminders for Immunization Using Short Messaging Systems to Improve Human Papillomavirus Vaccination Series Completion: Parallel-Group Randomized Trial. JMIR mHealth and uHealth 2021;9(12):e26356 View
24. Nwoye E, Woo W, Gao B, Anyanwu T. Artificial Intelligence for Emerging Technology in Surgery: Systematic Review and Validation. IEEE Reviews in Biomedical Engineering 2023;16:241 View
25. Karimi N, Opie R, Crawford D, O’Connell S, Hamblin P, Steele C, Ball K. Participants’ and Health Care Providers’ Insights Regarding a Web-Based and Mobile-Delivered Healthy Eating Program for Disadvantaged People With Type 2 Diabetes: Descriptive Qualitative Study. JMIR Formative Research 2023;7:e37429 View
26. E Moura F, Amin K, Ekwobi C. Artificial intelligence in the management and treatment of burns: a systematic review. Burns & Trauma 2021;9 View
27. Rodrigues da Silva A, De Carvalho Neto F, Rosa Guimarães M, Alves Bernardes R, Reges Brito V, Vilarouca da Silva A. Tecnologia móvel no cuidado com os pés em pessoas com diabetes mellitus: Revisão Integrativa. Ciência, Cuidado e Saúde 2020;19 View
28. Khalid A, Dong Q, Chuluunbaatar E, Haldane V, Durrani H, Wei X. Implementation Science Perspectives on Implementing Telemedicine Interventions for Hypertension or Diabetes Management: Scoping Review. Journal of Medical Internet Research 2023;25:e42134 View
29. Vilafranca-Cartagena M, Bonet-Augè A, Colillas-Malet E, Puiggrós-Binefa A, Tort-Nasarre G. Physical Activity Interventions in People with Diabetes: A Systematic Review of The Qualitative Evidence. Healthcare 2024;12(14):1373 View
30. Eaton C, Vallejo N, McDonald X, Wu J, Rodríguez R, Muthusamy N, Mathioudakis N, Riekert K. User Engagement With mHealth Interventions to Promote Treatment Adherence and Self-Management in People With Chronic Health Conditions: Systematic Review. Journal of Medical Internet Research 2024;26:e50508 View