Published on in Vol 5, No 4 (2017): April

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

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

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