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

Quality Evaluation and Descriptive Analysis/Reviews of Multiple Existing Mobile Apps (362) Mobile Health (mhealth) (2748) Demographics of Users, Social & Digital Divide (677) Glucose Tracking and Self-Monitoring of Blood Glucose (150) Apps, Mobile, Wearables for Diabetes (288)

Published on in Vol 3, No 3 (2015): Jul-Sep

Popular Glucose Tracking Apps and Use of mHealth by Latinos With Diabetes: Review

Popular Glucose Tracking Apps and Use of mHealth by Latinos With Diabetes: Review

Popular Glucose Tracking Apps and Use of mHealth by Latinos With Diabetes: Review

Authors of this article:

John Patrick Williams1 Author Orcid Image ;   Dirk Schroeder2 Author Orcid Image
Article Authors Cited by (38) Tweetations (28) Metrics

Journals

  1. Wu Y, Yao X, Vespasiani G, Nicolucci A, Dong Y, Kwong J, Li L, Sun X, Tian H, Li S. Mobile App-Based Interventions to Support Diabetes Self-Management: A Systematic Review of Randomized Controlled Trials to Identify Functions Associated with Glycemic Efficacy. JMIR mHealth and uHealth 2017;5(3):e35 View
  2. Rodriguez J, Singh K. The Spanish Availability and Readability of Diabetes Apps. Journal of Diabetes Science and Technology 2018;12(3):719 View
  3. Salari R, Niakan Kalhori S, Fatehi F, Ghazisaeedi M, Nazari M. Determining minimum set of features for diabetes mobile apps. Journal of Diabetes & Metabolic Disorders 2019;18(2):333 View
  4. Grundy Q, Wang Z, Bero L. Challenges in Assessing Mobile Health App Quality. American Journal of Preventive Medicine 2016;51(6):1051 View
  5. Ankem K, Cho S, Simpson D. Nurses’ perceptions and problems in the usability of a medication safety app. Informatics for Health and Social Care 2019;44(1):48 View
  6. Zhang Y, Li X, Luo S, Liu C, Xie Y, Guo J, Liu F, Zhou Z. Use, Perspectives, and Attitudes Regarding Diabetes Management Mobile Apps Among Diabetes Patients and Diabetologists in China: National Web-Based Survey. JMIR mHealth and uHealth 2019;7(2):e12658 View
  7. Zhang Y, Liu C, Luo S, Xie Y, Liu F, Li X, Zhou Z. Factors Influencing Patients’ Intentions to Use Diabetes Management Apps Based on an Extended Unified Theory of Acceptance and Use of Technology Model: Web-Based Survey. Journal of Medical Internet Research 2019;21(8):e15023 View
  8. Burner E, Menchine M, Kubicek K, Robles M, Kagawa Singer M, Arora S. Perceptions of Family Among Low-Income Patients With Diabetes in a Text-Based Mobile Health Intervention. Journal of Diabetes Science and Technology 2018;12(6):1203 View
  9. Kebede M, Pischke C. Popular Diabetes Apps and the Impact of Diabetes App Use on Self-Care Behaviour: A Survey Among the Digital Community of Persons With Diabetes on Social Media. Frontiers in Endocrinology 2019;10 View
  10. Krishnan G, Selvam G. Factors influencing the download of mobile health apps: Content review-led regression analysis. Health Policy and Technology 2019;8(4):356 View
  11. 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;11:204201882091451 View
  12. Aguayo‐Mazzucato C, Diaque P, Hernandez S, Rosas S, Kostic A, Caballero A. Understanding the growing epidemic of type 2 diabetes in the Hispanic population living in the United States. Diabetes/Metabolism Research and Reviews 2019;35(2) View
  13. Hood M, Wilson R, Corsica J, Bradley L, Chirinos D, Vivo A. What do we know about mobile applications for diabetes self-management? A review of reviews. Journal of Behavioral Medicine 2016;39(6):981 View
  14. Kebede M, Schuett C, Pischke C. The Role of Continuous Glucose Monitoring, Diabetes Smartphone Applications, and Self-Care Behavior in Glycemic Control: Results of a Multi-National Online Survey. Journal of Clinical Medicine 2019;8(1):109 View
  15. Iftikhar R, Abaalkhail B. Health-Seeking Influence Reflected by Online Health-Related Messages Received on Social Media: Cross-Sectional Survey. Journal of Medical Internet Research 2017;19(11):e382 View
  16. Alamoodi A, Garfan S, Zaidan B, Zaidan A, Shuwandy M, Alaa M, Alsalem M, Mohammed A, Aleesa A, Albahri O, Al-Hussein W, Alobaidi O. A systematic review into the assessment of medical apps: motivations, challenges, recommendations and methodological aspect. Health and Technology 2020;10(5):1045 View
  17. Chen J, Gemming L, Hanning R, Allman-Farinelli M. Smartphone apps and the nutrition care process: Current perspectives and future considerations. Patient Education and Counseling 2018;101(4):750 View
  18. Boyle L, Grainger R, Hall R, Krebs J. Use of and Beliefs About Mobile Phone Apps for Diabetes Self-Management: Surveys of People in a Hospital Diabetes Clinic and Diabetes Health Professionals in New Zealand. JMIR mHealth and uHealth 2017;5(6):e85 View
  19. Faria L, Reis S, Leite K, da Cruz J, Pimenta R, Viana N, Amaral G, Santos G, Ilias D, Fakhouri F, Xavier G, Srougi M, Passerotti C. Digital application developed to evaluate functional results following robot-assisted radical prostatectomy. Computer Methods and Programs in Biomedicine 2020;197:105683 View
  20. Schmocker K, Zwahlen F, Denecke K. Mobile App for Simplifying Life With Diabetes: Technical Description and Usability Study of GlucoMan. JMIR Diabetes 2018;3(1):e6 View
  21. Eiland L, Thangavelu T, Drincic A. Has Technology Improved Diabetes Management in Relation to Age, Gender, and Ethnicity?. Current Diabetes Reports 2019;19(11) View
  22. Baek J, Lin S, Bolin J, Ory M, Flores S, Kash B. Factors Affecting Adoption of a Technology-Based Tool for Diabetes Self-Management Education and Support Among Adult Patients with Type 2 Diabetes in South Texas. The Science of Diabetes Self-Management and Care 2021;47(3):189 View
  23. Costa Climent R, Haftor D. Business model theory-based prediction of digital technology use: An empirical assessment. Technological Forecasting and Social Change 2021;173:121174 View
  24. Bonet Olivencia S, Rao A, Smith A, Sasangohar F. Eliciting Requirements for a Diabetes Self-Management Application for Underserved Populations: A Multi-Stakeholder Analysis. International Journal of Environmental Research and Public Health 2021;19(1):127 View
  25. Rowland S, Ramos A, Trinidad N, Quintero S, Johnson Beller R, Struwe L, Pozehl B. Feasibility, Usability and Acceptability of a mHealth Intervention to Reduce Cardiovascular Risk in Rural Hispanic Adults: Descriptive Study. JMIR Formative Research 2022;6(12):e40379 View
  26. Bults M, van Leersum C, Olthuis T, Bekhuis R, den Ouden M. Barriers and Drivers Regarding the Use of Mobile Health Apps Among Patients With Type 2 Diabetes Mellitus in the Netherlands: Explanatory Sequential Design Study. JMIR Diabetes 2022;7(1):e31451 View
  27. Barengo N, Diaz Valencia P, Apolina L, Estrada Cruz N, Fernández Garate J, Correa González R, Cinco Gonzalez C, Gómez Rodriguez J, González N, Arellano Flores M, Ledesma Muñoz M, González Sotelo D, Davila Maldonado O, Gomez Garcia J, Laureano Hernandez F, Zarazua Jimenez J, Pulido Garcia B, Rodriguez Vazquez H, Ramirez Dorantes A, Gonzalez Fierro L, Hernandez Hernandez J, Zenil Perez J. Mobile Health Technology in the Primary Prevention of Type 2 Diabetes: a Systematic Review. Current Diabetes Reports 2022;22(1):1 View
  28. Barengo N, Apolinar L, Estrada Cruz N, Fernández Garate J, Correa González R, Diaz Valencia P, Gonzalez C, Rodriguez J, González N, Arellano Flores M, Ledesma Muñoz M, Gonzalez Sotelo D, Davila Maldonado O, Gomez Garcia J, Laureano Hernandez F, Jimenez J, Pulido Garcia B, Vazquez H, Ramirez Dorantes A, Gonzalez Fierro L, Hernandez Hernandez J, Perez J. Development of an information system and mobile application for the care of type 2 diabetes patients at the primary care level for the health sector in Mexico: study protocol for a randomized controlled, open-label trial. Trials 2022;23(1) View
  29. XU H, YUAN Y, YANG L, TAKASHI E, KITAYAMA A. Effect of a traditional Chinese medicine theory-based mobile app on improving symptoms in patients with type 2 diabetes mellitus: A randomized controlled trial. Journal of Integrative Nursing 2021;3(3):97 View
  30. Shetty V, Soon W, Roberts A, Fried L, Roby H, Smith G, Fournier P, Jones T, Davis E. A Novel Mobile Health App to Educate and Empower Young People With Type 1 Diabetes to Exercise Safely: Prospective Single-Arm Mixed Methods Pilot Study. JMIR Diabetes 2021;6(4):e29739 View
  31. Edwards C, Orellana E, Rawlings K, Rodriguez-Pla M, Venkatesan A. Changes in Glycemic Control Following Use of a Spanish-Language, Culturally Adapted Diabetes Program: Retrospective Study. JMIR Formative Research 2022;6(12):e40278 View
  32. Enyioha C, Hall M, Voisin C, Jonas D. Effectiveness of Mobile Phone and Web-Based Interventions for Diabetes and Obesity Among African American and Hispanic Adults in the United States: Systematic Review. JMIR Public Health and Surveillance 2022;8(2):e25890 View
  33. Inagaki S, Kato K, Abe K, Takahashi H, Matsuda T. Relationship between Diabetes Self-Management and the Use of Health Care Apps: A Cross-Sectional Study. ACI Open 2023;07(01):e23 View
  34. Bonet-Olivencia S, Carrillo-Leal J, Rao A, Sasangohar F. User-Centered Design of a Diabetes Self-Management Tool for Underserved Populations. Journal of Diabetes Science and Technology 2024;18(1):22 View
  35. Wang B, Asan O, Zhang Y. Shaping the future of chronic disease management: Insights into patient needs for AI-based homecare systems. International Journal of Medical Informatics 2024;181:105301 View

Books/Policy Documents

  1. Wang L, He D, Ni X, Zou R, Yuan X, Shang Y, Hu X, Geng X, Jiang K, Dong J, Wu H. Smart Health. View
  2. Isabell K, Sandra D. Technology and Health. View