Published on in Vol 15, No 12 (2013): December

Evaluating Self-Management Behaviors of Diabetic Patients in a Telehealthcare Program: Longitudinal Study Over 18 Months

Evaluating Self-Management Behaviors of Diabetic Patients in a Telehealthcare Program: Longitudinal Study Over 18 Months

Evaluating Self-Management Behaviors of Diabetic Patients in a Telehealthcare Program: Longitudinal Study Over 18 Months

Journals

  1. Tuvesson H, Eriksén S, Fagerström C. mHealth and Engagement Concerning Persons With Chronic Somatic Health Conditions: Integrative Literature Review. JMIR mHealth and uHealth 2020;8(7):e14315 View
  2. Portz J, Miller A, Foster B, Laudeman L. Persuasive features in health information technology interventions for older adults with chronic diseases: a systematic review. Health and Technology 2016;6(2):89 View
  3. Gibson B, Umeh K, Newson L, Davies I. Efficacy of the Best Possible Self protocol in diabetes self-management: A mixed-methods approach. Journal of Health Psychology 2021;26(3):332 View
  4. Kelly L, Jenkinson C, Morley D. Web-Based and mHealth Technologies to Support Self-Management in People Living With Type 2 Diabetes: Validation of the Diabetes Self-Management and Technology Questionnaire (DSMT-Q). JMIR Diabetes 2020;5(3):e18208 View
  5. Martinez-Millana A, Jarones E, Fernandez-Llatas C, Hartvigsen G, Traver V. App Features for Type 1 Diabetes Support and Patient Empowerment: Systematic Literature Review and Benchmark Comparison. JMIR mHealth and uHealth 2018;6(11):e12237 View
  6. So C, Chung J. Telehealth for diabetes self-management in primary healthcare: A systematic review and meta-analysis. Journal of Telemedicine and Telecare 2018;24(5):356 View
  7. Dinesen B, Nonnecke B, Lindeman D, Toft E, Kidholm K, Jethwani K, Young H, Spindler H, Oestergaard C, Southard J, Gutierrez M, Anderson N, Albert N, Han J, Nesbitt T. Personalized Telehealth in the Future: A Global Research Agenda. Journal of Medical Internet Research 2016;18(3):e53 View
  8. Simon-Tuval T, Triki N, Chodick G, Greenberg D. Determinants of Cost-Related Nonadherence to Medications among Chronically Ill Patients in Maccabi Healthcare Services, Israel. Value in Health Regional Issues 2014;4:41 View
  9. Aytekin Kanadli K, Ovayolu N, Ovayolu Ö. Does Telephone Follow-Up and Education Affect Self-Care and Metabolic Control in Diabetic Patients?. Holistic Nursing Practice 2016;30(2):70 View
  10. Quinn C, Butler E, Swasey K, Shardell M, Terrin M, Barr E, Gruber-Baldini A. Mobile Diabetes Intervention Study of Patient Engagement and Impact on Blood Glucose: Mixed Methods Analysis. JMIR mHealth and uHealth 2018;6(2):e31 View
  11. Ronda M, Dijkhorst-Oei L, Rutten G. Reasons and Barriers for Using a Patient Portal: Survey Among Patients With Diabetes Mellitus. Journal of Medical Internet Research 2014;16(11):e263 View
  12. Kabeza C, Harst L, Schwarz P, Timpel P. Assessment of Rwandan diabetic patients’ needs and expectations to develop their first diabetes self-management smartphone application (Kir’App). Therapeutic Advances in Endocrinology and Metabolism 2019;10:204201881984531 View
  13. Reséndiz Lara T, Muñoz Torres A, Mendoza Salmerón G, Zendejas Vela D, Medina Bravo P, Roy García I, Velázquez López L. La educación con una plataforma multimedia en web mejora los conocimientos y la HbA1c de pacientes mexicanos con diabetes tipo 2. Ensayo clínico abierto. Endocrinología, Diabetes y Nutrición 2020;67(8):530 View
  14. Wilde M, Liebel D, Fairbanks E, Wilson P, Lash M, Shah S, McDonald M, Brasch J, Zhang F, Scheid E, McMahon J. A Hybrid Process Fidelity Assessment in a Home-Based Randomized Clinical Trial. Home Health Care Services Quarterly 2015;34(2):113 View
  15. Vorderstrasse A, Lewinski A, Melkus G, Johnson C. Social Support for Diabetes Self-Management via eHealth Interventions. Current Diabetes Reports 2016;16(7) View
  16. Kebede M, Zeeb H, Peters M, Heise T, Pischke C. Effectiveness of Digital Interventions for Improving Glycemic Control in Persons with Poorly Controlled Type 2 Diabetes: A Systematic Review, Meta-analysis, and Meta-regression Analysis. Diabetes Technology & Therapeutics 2018;20(11):767 View
  17. Chang C, Lee T, Mills M. Experience of Home Telehealth Technology in Older Patients With Diabetes. CIN: Computers, Informatics, Nursing 2017;35(10):530 View
  18. Holtz B, Murray K, Hershey D, Dunneback J, Cotten S, Holmstrom A, Vyas A, Kaiser M, Wood M. Developing a Patient-Centered mHealth App: A Tool for Adolescents With Type 1 Diabetes and Their Parents. JMIR mHealth and uHealth 2017;5(4):e53 View
  19. Park S, Burford S, Nolan C, Hanlen L. The Role of Digital Engagement in the Self-Management of Type 2 Diabetes. Health Communication 2016;31(12):1557 View
  20. Kuo A, Dang S. Secure Messaging in Electronic Health Records and Its Impact on Diabetes Clinical Outcomes: A Systematic Review. Telemedicine and e-Health 2016;22(9):769 View
  21. Muigg D, Kastner P, Duftschmid G, Modre-Osprian R, Haluza D. Readiness to use telemonitoring in diabetes care: a cross-sectional study among Austrian practitioners. BMC Medical Informatics and Decision Making 2019;19(1) View
  22. de Ridder M, Kim J, Jing Y, Khadra M, Nanan R. A systematic review on incentive-driven mobile health technology: As used in diabetes management. Journal of Telemedicine and Telecare 2017;23(1):26 View
  23. Iljaž R, Brodnik A, Zrimec T, Cukjati I. E-healthcare for diabetes mellitus type 2 patients – a randomised controlled trial in Slovenia. Slovenian Journal of Public Health 2017;56(3):150 View
  24. Ruddock J, Poindexter M, Gary‐Webb T, Walker E, Davis N. Innovative strategies to improve diabetes outcomes in disadvantaged populations. Diabetic Medicine 2016;33(6):723 View
  25. Hammett J, Sasangohar F, Lawley M. Home Telemonitoring Platforms for Adults with Diabetes Mellitus: A Narrative Review of Literature. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2018;62(1):508 View
  26. 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
  27. McGloin H, O'Connell D, Glacken M, Mc Sharry P, Healy D, Winters-O'Donnell L, Crerand K, Gavaghan A, Doherty L. Patient Empowerment Using Electronic Telemonitoring With Telephone Support in the Transition to Insulin Therapy in Adults With Type 2 Diabetes: Observational, Pre-Post, Mixed Methods Study. Journal of Medical Internet Research 2020;22(5):e16161 View
  28. Nielsen A, Kidholm K, Kayser L. Patients’ reasons for non-use of digital patient-reported outcome concepts: A scoping review. Health Informatics Journal 2020;26(4):2811 View
  29. David S, Rafiullah M. Innovative health informatics as an effective modern strategy in diabetes management: a critical review. International Journal of Clinical Practice 2016;70(6):434 View
  30. Sitton-Kent L, Humphreys C, Miller P. Supporting the spread of health technology in community services. British Journal of Community Nursing 2018;23(3):118 View
  31. Muigg D, Duftschmid G, Kastner P, Modre-Osprian R, Haluza D. Telemonitoring readiness among Austrian diabetic patients: A cross-sectional validation study. Health Informatics Journal 2020;26(4):2332 View
  32. Kelly L, Jenkinson C, Morley D. Experiences of Using Web-Based and Mobile Technologies to Support Self-Management of Type 2 Diabetes: Qualitative Study. JMIR Diabetes 2018;3(2):e9 View
  33. Eberle C, Stichling S. Clinical Improvements by Telemedicine Interventions Managing Type 1 and Type 2 Diabetes: Systematic Meta-review. Journal of Medical Internet Research 2021;23(2):e23244 View
  34. Reséndiz Lara T, Muñoz Torres A, Mendoza Salmerón G, Zendejas Vela D, Medina Bravo P, Roy García I, Velázquez López L. Education with a multimedia web platform improves knowledge and HbA1c of Mexican patients with type 2 diabetes. Open clinical trial. Endocrinología, Diabetes y Nutrición (English ed.) 2020;67(8):530 View
  35. Grunberger G, Sherr J, Allende M, Blevins T, Bode B, Handelsman Y, Hellman R, Lajara R, Roberts V, Rodbard D, Stec C, Unger J. American Association of Clinical Endocrinology Clinical Practice Guideline: The Use of Advanced Technology in the Management of Persons With Diabetes Mellitus. Endocrine Practice 2021;27(6):505 View
  36. Dehnavi Z, Ayatollahi H, Hemmat M, Abbasi R. Health Information Technology and Diabetes Management: A Review of Motivational and Inhibitory Factors. Current Diabetes Reviews 2021;17(3):268 View
  37. Dai Z, Jing S, Liu X, Zhang H, Wu Y, Wang H, Xiao W, Huang Y, Fu J, Chen X, Gao L, Su X. Development and validation of the diabetic self-management scale based on information-motivation-behavioral skills theory. Frontiers in Public Health 2023;11 View
  38. Sisay Gedamu A, Sewunet Ademe K, Samuel Anteneh A, Abebe Dires N, Kirubel Dagnaw T. Self-care practice and associated factors among type 2 adult diabetic patients on follow up clinic of Dessie referral hospital, Northeast Ethiopia. Clinical Journal of Nursing Care and Practice 2021;5(1):031 View
  39. Riazi H, Larijani B, Langarizadeh M, Shahmoradi L. Managing diabetes mellitus using information technology: a systematic review. Journal of Diabetes & Metabolic Disorders 2015;14(1) View
  40. Wang R, Chen S, Lee C, Lu C, Hsu H. Resilience, self‐efficacy and diabetes distress on self‐management behaviours in patients newly diagnosed with type 2 diabetes: A moderated mediation analysis. Journal of Advanced Nursing 2023;79(1):215 View
  41. Cook H, Garris L, Gulum A, Steber C. Impact of SMART Goals on Diabetes Management in a Pharmacist-Led Telehealth Clinic. Journal of Pharmacy Practice 2024;37(1):54 View
  42. Park S, Kum H, Zheng Q, Lawley M. Real-World Adherence and Effectiveness of Remote Patient Monitoring Among Medicaid Patients With Diabetes: Retrospective Cohort Study. Journal of Medical Internet Research 2023;25:e45033 View
  43. Mannoubi C, Kairy D, Menezes K, Desroches S, Layani G, Vachon B. The Key Digital Tool Features of Complex Telehealth Interventions Used for Type 2 Diabetes Self-Management and Monitoring With Health Professional Involvement: Scoping Review. JMIR Medical Informatics 2024;12:e46699 View
  44. Kim Y, Choi W, Choi W, Ko G, Han S, Kim H, Kim D, Lee D, Shin D, Lee Y. A machine learning approach using conditional normalizing flow to address extreme class imbalance problems in personal health records. BioData Mining 2024;17(1) View
  45. de Frel D, Schroijen M, Aardoom J, van Gils W, Huisman S, Janssen V, Versluis A, Kleinsmann M, Atsma D, Pijl H. Participatory Development of an Integrated, eHealth-Supported, Educational Care Pathway (Diabetes Box) for People With Type 2 Diabetes: Development and Usability Study. JMIR Human Factors 2024;11:e45055 View

Books/Policy Documents

  1. Koskinen J, Rantanen M. Well-Being in the Information Society. Fruits of Respect. View
  2. David S, Rafiullah M. Case Study of Innovative Projects - Successful Real Cases. View
  3. Chang S. Situation Specific Theories: Development, Utilization, and Evaluation in Nursing. View