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

Text-messaging (SMS, WeChat etc)-Based Interventions (650) Mobile Health (mhealth) (2939) Health Coaching for Diabetes Patients (147) Glucose Tracking and Self-Monitoring of Blood Glucose (162) Apps, Mobile, Wearables for Diabetes (298) Diabetes Self-Management (484)

Published on in Vol 3, No 1 (2015): Jan-Mar

Diabetes Text-Message Self-Management Support Program (SMS4BG): A Pilot Study

Diabetes Text-Message Self-Management Support Program (SMS4BG): A Pilot Study

Diabetes Text-Message Self-Management Support Program (SMS4BG): A Pilot Study

Authors of this article:

Rosie Dobson1 Author Orcid Image ;   Karen Carter1 Author Orcid Image ;   Richard Cutfield2 Author Orcid Image ;   Ashley Hulme1 Author Orcid Image ;   Richard Hulme3 Author Orcid Image ;   Catherine McNamara2 Author Orcid Image ;   Ralph Maddison1 Author Orcid Image ;   Rinki Murphy4 Author Orcid Image ;   Matthew Shepherd5 Author Orcid Image ;   Johan Strydom1 Author Orcid Image ;   Robyn Whittaker1, 2 Author Orcid Image
Article Authors Cited by (45) Tweetations (6) Metrics

Journals

  1. 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
  2. Kabeza C, Harst L, Schwarz P, Timpel P. A qualitative study of users’ experiences after 3 months: the first Rwandan diabetes self-management Smartphone application “Kir’App”. Therapeutic Advances in Endocrinology and Metabolism 2020;11 View
  3. Bauer V, Goodman N, Lapin B, Cooley C, Wang E, Craig T, Glosner S, Juhn M, Cappelleri J, Sadosky A, Masi C. Text Messaging to Improve Disease Management in Patients With Painful Diabetic Peripheral Neuropathy. The Diabetes Educator 2018;44(3):237 View
  4. Rasekaba T, Lim K, Blackberry I, Gray K, Furler J. Telemedicine for Gestational Diabetes Mellitus (TeleGDM): A Mixed-Method Study Protocol of Effects of a Web-Based GDM Support System on Health Service Utilization, Maternal and Fetal Outcomes, Costs, and User Experience. JMIR Research Protocols 2016;5(3):e163 View
  5. Nelson L, Coston T, Cherrington A, Osborn C. Patterns of User Engagement with Mobile- and Web-Delivered Self-Care Interventions for Adults with T2DM: A Review of the Literature. Current Diabetes Reports 2016;16(7) View
  6. McCool J, Tanielu H, Umali E, Whittaker R. Assessing the Cross-Cultural Adaptation and Translation of a Text-Based Mobile Smoking Cessation Program in Samoa (TXTTaofiTapaa): Pilot Study. JMIR mHealth and uHealth 2018;6(8):e173 View
  7. Levy N, Moynihan V, Nilo A, Singer K, Bernik L, Etiebet M, Fang Y, Cho J, Natarajan S. The Mobile Insulin Titration Intervention (MITI) for Insulin Adjustment in an Urban, Low-Income Population: Randomized Controlled Trial. Journal of Medical Internet Research 2015;17(7):e180 View
  8. Dobson R, Whittaker R, Jiang Y, Shepherd M, Maddison R, Carter K, Cutfield R, McNamara C, Khanolkar M, Murphy R. Text message-based diabetes self-management support (SMS4BG): study protocol for a randomised controlled trial. Trials 2016;17(1) View
  9. Lowres N, Duckworth A, Redfern J, Thiagalingam A, Chow C. Use of a Machine Learning Program to Correctly Triage Incoming Text Messaging Replies From a Cardiovascular Text–Based Secondary Prevention Program: Feasibility Study. JMIR mHealth and uHealth 2020;8(6):e19200 View
  10. Aungst T. Digital Health and the Future of Diabetes Management. Journal of Diabetes, Metabolic Disorders & Control 2015;2(4) View
  11. Firth J, Cotter J, Torous J, Bucci S, Firth J, Yung A. Mobile Phone Ownership and Endorsement of “mHealth” Among People With Psychosis: A Meta-analysis of Cross-sectional Studies. Schizophrenia Bulletin 2016;42(2):448 View
  12. Gruson D, Ko G. Laboratory medicine and mobile health technologies at crossroads: Perspectives for the management of chronic diseases. Critical Reviews in Clinical Laboratory Sciences 2016;53(5):352 View
  13. Grady M, Katz L, Cameron H, Levy B. Diabetes App-Related Text Messages From Health Care Professionals in Conjunction With a New Wireless Glucose Meter With a Color Range Indicator Improves Glycemic Control in Patients With Type 1 and Type 2 Diabetes: Randomized Controlled Trial. JMIR Diabetes 2017;2(2):e19 View
  14. Tupai-Firestone R, Matheson A, Prapavessis D, Hamara M, Kaholokula K, Tuisano H, Tevita G, Henderson J, Schleser M, Ellison-Loschmann L. Pasifika Youth Empowerment Programme: a potential public health approach in tackling obesity-health related issues. AlterNative: An International Journal of Indigenous Peoples 2018;14(1):63 View
  15. Lanhers C, Walther G, Chapier R, Lesourd B, Naughton G, Pereira B, Duclos M, Vinet A, Obert P, Courteix D, Dutheil F. Long-term cost reduction of routine medications following a residential programme combining physical activity and nutrition in the treatment of type 2 diabetes: a prospective cohort study. BMJ Open 2017;7(4):e013763 View
  16. 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
  17. Buchholz S, Ingram D, Wilbur J, Fogg L, Sandi G, Moss A, Ocampo E. Bilingual Text4Walking Food Service Employee Intervention Pilot Study. JMIR mHealth and uHealth 2016;4(2):e68 View
  18. Anstiss D, Davies A. ‘Reach Out, Rise Up’: The efficacy of text messaging in an intervention package for anxiety and depression severity in young people. Children and Youth Services Review 2015;58:99 View
  19. Chu J, Whittaker R, Jiang Y, Wadham A, Stasiak K, Shepherd M, Bullen C. Evaluation of MyTeen – a SMS-based mobile intervention for parents of adolescents: a randomised controlled trial protocol. BMC Public Health 2018;18(1) View
  20. Watterson J, Rodriguez H, Shortell S, Aguilera A. Improved Diabetes Care Management Through a Text-Message Intervention for Low-Income Patients: Mixed-Methods Pilot Study. JMIR Diabetes 2018;3(4):e15 View
  21. Dobson R, Whittaker R, Bartley H, Connor A, Chen R, Ross M, McCool J. Development of a Culturally Tailored Text Message Maternal Health Program: TextMATCH. JMIR mHealth and uHealth 2017;5(4):e49 View
  22. Dobson R, Whittaker R, Jiang Y, McNamara C, Shepherd M, Maddison R, Cutfield R, Khanolkar M, Murphy R. Long‐term follow‐up of a randomized controlled trial of a text‐message diabetes self‐management support programme, SMS4BG. Diabetic Medicine 2020;37(2):311 View
  23. Bartlett Y, Farmer A, Rea R, French D. Use of Brief Messages Based on Behavior Change Techniques to Encourage Medication Adherence in People With Type 2 Diabetes: Developmental Studies. Journal of Medical Internet Research 2020;22(5):e15989 View
  24. Rajan J, Moura J, Gourley G, Kiso K, Sizilio A, Cortez A, Riley L, Veras M, Sarkar U. Understanding the barriers to successful adoption and use of a mobile health information system in a community health center in São Paulo, Brazil: a cohort study. BMC Medical Informatics and Decision Making 2016;16(1) View
  25. Miele F, Clementi S, Gennaro R, Nicolao I, Romanelli T, Speese K, Piras E. Text Messaging and Type 1 Diabetes Management: Qualitative Study Exploring Interactions Among Patients and Health Care Professionals. JMIR Diabetes 2019;4(2):e11343 View
  26. Ostrovsky D, Ehrlich A. Tailored Text Message-Based Self-Management Program May Improve Glycemic Control in Patients with Poorly Controlled Diabetes. EXPLORE 2018;14(6):460 View
  27. Boels A, Rutten G, Zuithoff N, de Wit A, Vos R. Effectiveness of diabetes self-management education via a smartphone application in insulin treated type 2 diabetes patients – design of a randomised controlled trial (‘TRIGGER study’). BMC Endocrine Disorders 2018;18(1) View
  28. Agboola S, Jethwani K, Lopez L, Searl M, O’Keefe S, Kvedar J. Text to Move: A Randomized Controlled Trial of a Text-Messaging Program to Improve Physical Activity Behaviors in Patients With Type 2 Diabetes Mellitus. Journal of Medical Internet Research 2016;18(11):e307 View
  29. Fatehi F, Menon A, Bird D. Diabetes Care in the Digital Era: a Synoptic Overview. Current Diabetes Reports 2018;18(7) View
  30. Waller K, Furber S, Bauman A, Allman-Farinelli M, van den Dolder P, Hayes A, Facci F, Franco L, Webb A, Moses R, Colagiuri S. DTEXT – text messaging intervention to improve outcomes of people with type 2 diabetes: protocol for randomised controlled trial and cost-effectiveness analysis. BMC Public Health 2019;19(1) View
  31. McCool J, Dobson R, Muinga N, Paton C, Pagliari C, Agawal S, Labrique A, Tanielu H, Whittaker R. Factors influencing the sustainability of digital health interventions in low-resource settings: Lessons from five countries. Journal of Global Health 2020;10(2) View
  32. Leon N, Namadingo H, Bobrow K, Cooper S, Crampin A, Pauly B, Levitt N, Farmer A. Intervention development of a brief messaging intervention for a randomised controlled trial to improve diabetes treatment adherence in sub-Saharan Africa. BMC Public Health 2021;21(1) View
  33. Bassi G, Gabrielli S, Donisi V, Carbone S, Forti S, Salcuni S. Assessment of Psychological Distress in Adults With Type 2 Diabetes Mellitus Through Technologies: Literature Review. Journal of Medical Internet Research 2021;23(1):e17740 View
  34. Kundury K, Hathur B, Palazón-Bru A. Intervention through Short Messaging System (SMS) and phone call alerts reduced HbA1C levels in ~47% type-2 diabetics–results of a pilot study. PLOS ONE 2020;15(11):e0241830 View
  35. Gautier J, Boitard C, Michiels Y, Raymond G, Vergez G, Guedon G. Impact of personalized text messages from pharmacists on medication adherence in type 2 diabetes in France: A real-world, randomized, comparative study. Patient Education and Counseling 2021;104(9):2250 View
  36. Najafi B, Mishra R. Harnessing Digital Health Technologies to Remotely Manage Diabetic Foot Syndrome: A Narrative Review. Medicina 2021;57(4):377 View
  37. Carrillo A, Huffman J, Healy B, Rodriguez C, Celano C. Text message preferences among individuals with type 2 diabetes: A brief report of an online survey study. Current Psychology 2023;42(24):21175 View
  38. DePuccio M, Garner J, Hefner J, Coovert N, Clark A, Walker D. Multi-stakeholder perspectives on the implementation of a clinic-based food referral program for patients with chronic conditions: a qualitative examination. Translational Behavioral Medicine 2022;12(9):927 View
  39. Leon N, Namadingo H, Cooper S, Bobrow K, Mwantisi C, Nyasulu M, Sicwebu N, Crampin A, Levitt N, Farmer A. Process evaluation of a brief messaging intervention to improve diabetes treatment adherence in sub-Saharan Africa. BMC Public Health 2021;21(1) View
  40. Singleton A, Raeside R, Partridge S, Tat-Ko J, Che Mun Sum S, Hyun K, Hayes M, Chow C, Thiagalingam A, Maka K, Sherman K, Elder E, Redfern J. Supporting breast cancer survivors via text messages: reach, acceptability, and utility of EMPOWER-SMS. Journal of Cancer Survivorship 2022;16(6):1165 View
  41. Wang W, Su Y, Gao G. Social Determinants of mHealth Effectiveness: Evidence from a Large-Scale Experiment. SSRN Electronic Journal 2018 View
  42. Singleton A, Raeside R, Hyun K, Hayes M, Sherman K, Elder E, Redfern J, Partridge S. A National Health and Wellness SMS Text Message Program for Breast Cancer Survivors During COVID-19 (EMPOWER-SMS COVID-19): Mixed Methods Evaluation Using the RE-AIM Framework. Journal of Medical Internet Research 2023;25:e45164 View

Books/Policy Documents

  1. Vashist S. Point-of-Care Technologies Enabling Next-Generation Healthcare Monitoring and Management. View
  2. Iyawa G, Ondiek C, Osakwe J. Smart Medical Data Sensing and IoT Systems Design in Healthcare. View