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

Apps, Mobile, Wearables for Diabetes (288) mHealth for Treatment Adherence (384) Text-messaging (SMS, WeChat etc)-Based Interventions (622) Usability of Apps and User Perceptions of mHealth (899) Diabetes Self-Management (463) Health Coaching for Diabetes Patients (142)

Published on in Vol 4, No 1 (2019): Jan-Mar

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10350, first published .
Perceptions and Acceptability of Text Messaging for Diabetes Care in Primary Care in Argentina: Exploratory Study

Perceptions and Acceptability of Text Messaging for Diabetes Care in Primary Care in Argentina: Exploratory Study

Perceptions and Acceptability of Text Messaging for Diabetes Care in Primary Care in Argentina: Exploratory Study

Authors of this article:

Daniela Moyano1 Author Orcid Image ;   Daniela Morelli1 Author Orcid Image ;   Marilina Santero1 Author Orcid Image ;   Maria Belizan1 Author Orcid Image ;   Vilma Irazola1 Author Orcid Image ;   Andrea Beratarrechea1 Author Orcid Image
Article Authors Cited by (9) Tweetations (4) Metrics

Journals

  1. Sanchez Antelo V, Kohler R, Curotto M, Viswanath K, Paolino M, Arrossi S. Developing SMS Content to Promote Papanicolaou Triage Among Women Who Performed HPV Self-collection Test: Qualitative Study. JMIR Formative Research 2020;4(3):e14652 View
  2. Karimi N, Crawford D, Opie R, Maddison R, O’Connell S, Hamblin P, Ng A, Steele C, Rasmussen B, Ball K. EatSmart, a Web-Based and Mobile Healthy Eating Intervention for Disadvantaged People With Type 2 Diabetes: Protocol for a Pilot Mixed Methods Intervention Study. JMIR Research Protocols 2020;9(11):e19488 View
  3. Lauffenburger J, Barlev R, Sears E, Keller P, McDonnell M, Yom-Tov E, Fontanet C, Hanken K, Haff N, Choudhry N. Preferences for mHealth Technology and Text Messaging Communication in Patients With Type 2 Diabetes: Qualitative Interview Study. Journal of Medical Internet Research 2021;23(6):e25958 View
  4. Prado C, Santero M, Caruso D, Ortiz F, Zamorano M, Irazola V. ¿Cuáles son las brechas de conocimiento y qué priorizar en investigación en salud mental del adulto mayor? Estudio cuali-cuantitativo utilizando la matriz de estrategias combinadas para Argentina (MECA). Global Health Promotion 2023;30(1):87 View
  5. Moyano D, Lopez M, Cavallo A, Candia J, Kaen A, Irazola V, Beratarrechea A. The Use of 2 e-Learning Modalities for Diabetes Education Using Facebook in 2 Cities of Argentina During the COVID-19 Pandemic: Qualitative Study. JMIR Formative Research 2022;6(11):e38862 View
  6. Zamanillo-Campos R, Serrano-Ripoll M, Taltavull-Aparicio J, Gervilla-García E, Ripoll J, Fiol-deRoque M, Boylan A, Ricci-Cabello I. Patients’ Views on the Design of DiabeText, a New mHealth Intervention to Improve Adherence to Oral Antidiabetes Medication in Spain: A Qualitative Study. International Journal of Environmental Research and Public Health 2022;19(3):1902 View
  7. 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
  8. Morelli D, Rubinstein F, Santero M, Gibbons L, Moyano D, Nejamis A, Beratarrechea A. Effectiveness of a diabetes program based on digital health on capacity building and quality of care in type 2 diabetes: a pragmatic quasi-experimental study. BMC Health Services Research 2023;23(1) View
  9. Saif‐Ur‐Rahman K, Islam M, Alaboson J, Ola O, Hasan I, Islam N, Mainali S, Martina T, Silenga E, Muyangana M, Joarder T. Artificial intelligence and digital health in improving primary health care service delivery in LMICs: A systematic review. Journal of Evidence-Based Medicine 2023;16(3):303 View