Published on 12.03.18 in Vol 3, No 1 (2018): Jan-Jun
Works citing "Perceptions of Persons With Type 2 Diabetes Treated in Swedish Primary Health Care: Qualitative Study on Using eHealth Services for Self-Management Support"
According to Crossref, the following articles are citing this article (DOI 10.2196/diabetes.9059):
(note that this is only a small subset of citations)
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Eeg-Olofsson K, Johansson U, Linder E, Leksell J. Patients’ and Health Care Professionals’ Perceptions of the Potential of Using the Digital Diabetes Questionnaire to Prepare for Diabetes Care Meetings: Qualitative Focus Group Interview Study. Journal of Medical Internet Research 2020;22(8):e17504
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Sjöström AE, Hörnsten , Hajdarevic S, Emmoth A, Isaksson U. Primary Health Care Nurses’ Experiences of Consultations With Internet-Informed Patients: Qualitative Study. JMIR Nursing 2019;2(1):e14194
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du Pon E, Kleefstra N, Cleveringa F, van Dooren A, Heerdink ER, van Dulmen S. Effects of the Proactive Interdisciplinary Self-Management (PRISMA) Program on Online Care Platform Usage in Patients with Type 2 Diabetes in Primary Care: A Randomized Controlled Trial. Journal of Diabetes Research 2020;2020:1
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Öberg U, Orre CJ, Hörnsten , Jutterström L, Isaksson U. Using the Self-Management Assessment Scale for Screening Support Needs in Type 2 Diabetes: Qualitative Study. JMIR Nursing 2020;3(1):e16318
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. 7. Diabetes Technology: Standards of Medical Care in Diabetes—2020. Diabetes Care 2020;43(Supplement_1):S77
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Klösch M, Klösch C, Kundt FS, van der Zee-Neuen A, Dieplinger AM. eHealth systems for the optimised care of patients with type 2 diabetes. British Journal of Nursing 2020;29(5):274
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Öberg U, Isaksson U, Jutterström L, Orre C, Hörnsten . Person-Centered Interactive Self-Management Support in Primary Health Care for People with Type 2 Diabetes: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2019;8(4):e10250
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Schimmer R, Orre C, Öberg U, Danielsson K, Hörnsten . Digital Person-Centered Self-Management Support for People With Type 2 Diabetes: Qualitative Study Exploring Design Challenges. JMIR Diabetes 2019;4(3):e10702
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Heponiemi T, Jormanainen V, Leemann L, Manderbacka K, Aalto A, Hyppönen H. Digital Divide in Perceived Benefits of Online Health Care and Social Welfare Services: National Cross-Sectional Survey Study. Journal of Medical Internet Research 2020;22(7):e17616
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Wu Y, Zhou Y, Wang X, Zhang Q, Yao X, Li X, Li J, Tian H, Li S. A Comparison of Functional Features in Chinese and US Mobile Apps for Diabetes Self-Management: A Systematic Search in App Stores and Content Analysis. JMIR mHealth and uHealth 2019;7(8):e13971
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. 7. Diabetes Technology: Standards of Medical Care in Diabetes—2021. Diabetes Care 2021;44(Supplement_1):S85
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Kulzer B, Heinemann L, Roos T. Informationstechnologie in der Diabetesbehandlung – Erleben der Patienten. Der Diabetologe 2021;17(3):265
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ElSayed NA, Aleppo G, Aroda VR, Bannuru RR, Brown FM, Bruemmer D, Collins BS, Hilliard ME, Isaacs D, Johnson EL, Kahan S, Khunti K, Leon J, Lyons SK, Perry ML, Prahalad P, Pratley RE, Seley JJ, Stanton RC, Gabbay RA. 7. Diabetes Technology: Standards of Care in Diabetes—2023. Diabetes Care 2023;46(Supplement_1):S111
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Kulzer B, Heinemann L, Roos T. Patients’ Experience of New Technologies and Digitalization in Diabetes Care in Germany. Journal of Diabetes Science and Technology 2022;16(6):1521
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Bults M, van Leersum CM, Olthuis TJJ, Bekhuis REM, den Ouden MEM. 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
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. 7. Diabetes Technology: Standards of Medical Care in Diabetes—2022. Diabetes Care 2022;45(Supplement_1):S97
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Paalimäki-Paakki K, Virtanen M, Henner A, Nieminen MT, Kääriäinen M. Effectiveness of Digital Counseling Environments on Anxiety, Depression, and Adherence to Treatment Among Patients Who Are Chronically Ill: Systematic Review. Journal of Medical Internet Research 2022;24(1):e30077
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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
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Rathbone A, Stumpf S, Claisse C, Sillence E, Coventry L, Brown RD, Durrant AC, Kocaballi B. People with long-term conditions sharing personal health data via digital health technologies: A scoping review to inform design. PLOS Digital Health 2023;2(5):e0000264
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ElSayed NA, Aleppo G, Bannuru RR, Bruemmer D, Collins BS, Ekhlaspour L, Hilliard ME, Johnson EL, Khunti K, Lingvay I, Matfin G, McCoy RG, Perry ML, Pilla SJ, Polsky S, Prahalad P, Pratley RE, Segal AR, Seley JJ, Stanton RC, Gabbay RA. 7. Diabetes Technology: Standards of Care in Diabetes—2024. Diabetes Care 2024;47(Supplement_1):S126
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Fan S, Jain RC, Kankanhalli MS. A Comprehensive Picture of Factors Affecting User Willingness to Use Mobile Health Applications. ACM Transactions on Computing for Healthcare 2024;5(1):1
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Singh K, Walters MR, Ayatollahi H. Use of mHealth in promoting maternal and child health in “BIMARU” states of India “A health system strengthening strategy”: Systematic literature review. PLOS Digital Health 2024;3(2):e0000403
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According to Crossref, the following books are citing this article (DOI 10.2196/diabetes.9059):
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. Technology Entrepreneurship and Sustainable Development. 2022. Chapter 14:265
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