Willingness to Receive mHealth Services Among Patients with Diabetes on Chronic Follow-up in Public Hospitals in Eastern Ethiopia: Multicenter Mixed-Method Study

References

• Wei L, Bu X, Wang X, Liu J, Ma A, Wang T., Global burden of aortic aneurysm and attributable risk factors from 1990 to 2017. Global Heart 2021;16(1):
   PubMed Web of Science ®Google Scholar
• Cho N, Shaw J, Karuranga S, et al. IDF diabetes atlas: global estimates of diabetes prevalence for 2017 and projections for 2045. Diabetes Res Clin Pract. 2018;138:271–281. doi:10.1016/j.diabres.2018.02.023
   PubMed Web of Science ®Google Scholar
• Zeru MA, Tesfa E, Mitiku AA, Seyoum A, Bokoro T. Prevalence and risk factors of type-2 diabetes mellitus in Ethiopia: systematic review and meta-analysis. Sci Rep. 2021;11(1):21733. doi:10.1038/s41598-021-01256-9
   PubMed Web of Science ®Google Scholar
• Atlas D. International diabetes federation. 3rd. International Diabetes Federation; 2019.
   Google Scholar
• Sun H, Saeedi P, Karuranga S, et al. IDF diabetes atlas: global, regional and country-level diabetes prevalence estimates for 2021 and projections for 2045. Diabetes Res Clin Pract. 2022;183:109119. doi:10.1016/j.diabres.2021.109119
   PubMed Web of Science ®Google Scholar
• Alwan AJ; Gsrond. Global status report on noncommunicable diseases 2010.
   Google Scholar
• Abaza H, Marschollek M. mHealth application areas and technology combinations. Methods Inf Med. 2017;56(S 01):e105–e22. doi:10.3414/ME17-05-0003
   PubMedGoogle Scholar
• Muralidharan S, Ranjani H, Anjana RM, Allender S, Mohan V. Mobile health technology in the prevention and management of type 2 diabetes. Indian J Endocrinol Metab. 2017;21(2):334. doi:10.4103/ijem.IJEM_407_16
   PubMedGoogle Scholar
• WHO. PMTCT Strategic Vision 2010-2015: Preventing Mother-to-Child Transmission of HIV to Reach the UNGASS and Millennium Development Goals: Moving Towards the Elimination of Paediatric HIV; 2009.
   Google Scholar
• Berkshire U; Consulting VWJWD. mHealth for development: the opportunity of mobile technology for healthcare in the developing world. Innov Technol Gov Glob. 2009;4:103-–118
   Google Scholar
• Kamis K, Janevic MR, Marinec N, et al. A study of mobile phone use among patients with noncommunicable diseases in La Paz. Bolivia. 2015;11(1):1–10.
   Google Scholar
• Driscoll KA, Corbin KD, Maahs DM, et al. Biopsychosocial aspects of weight management in type 1 diabetes: a review and next steps. Curr Diab Rep 2017;17(8):1–9.
   PubMed Web of Science ®Google Scholar
• Agboola S, Palacholla RS, Centi A, Kvedar J, Jethwani K, A multimodal mHealth intervention (featforward) to improve physical activity behavior in patients with high cardiometabolic risk factors: rationale and protocol for a randomized controlled trial. JMIR Res Protoc 2016;5(2):
   PubMedGoogle Scholar
• Kebede MM, Zeeb H, Peters M, Heise TL, Pischke CR. Pischke CRJDt, therapeutics. 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 Technol Ther. 2018;20(11):767–782. doi:10.1089/dia.2018.0216
   PubMed Web of Science ®Google Scholar
• de Vries ST, Keers JC, Visser R, et al. Medication beliefs, treatment complexity, and non-adherence to different drug classes in patients with type 2 diabetes. J Psychosom Res. 2014;76(2):134–138. doi:10.1016/j.jpsychores.2013.11.003
   PubMed Web of Science ®Google Scholar
• Gadkari AS, McHorney CA. Medication nonfulfillment rates and reasons: narrative systematic review. Curr Med Res Opin. 2010;26(3):683–705. doi:10.1185/03007990903550586
   PubMed Web of Science ®Google Scholar
• Walz L, Pettersson B, Rosenqvist U, et al. Impact of symptomatic hypoglycemia on medication adherence, patient satisfaction with treatment, and glycemic control in patients with type 2 diabetes. Patient Preference Adherence. 2014;8:593. doi:10.2147/PPA.S58781
   PubMed Web of Science ®Google Scholar
• Karachaliou F, Simatos G, Simatou AJFi E. The challenges in the development of diabetes prevention and care models in low-income settings. Front Endocrinol. 2020;11:518. doi:10.3389/fendo.2020.00518
   PubMed Web of Science ®Google Scholar
• Tan X, Patel I, JJIip C. Review of the four item morisky medication adherence scale (MMAS-4) and eight item morisky medication adherence scale (MMAS-8). Innov Pharm. 2014;5(3):5.
   Google Scholar
• Abebe SM, Berhane Y, Worku AJS. Barriers to diabetes medication adherence in North West Ethiopia. Springerplus. 2014;3:1–6.
   PubMedGoogle Scholar
• Olamoyegun MA, Raimi TH, Ala OA, Fadare JO. Mobile phone ownership and willingness to receive mHealth services among patients with diabetes mellitus in South-West, Nigeria. Pan Afr Med J. 2020;37.
   Web of Science ®Google Scholar
• Habte BM, Kebede T, Fenta TG, HJBrn B. Explanatory models of adult patients with type 2 diabetes mellitus from urban centers of central Ethiopia. BMC Res Notes 2016;9(1):1–11.
   PubMedGoogle Scholar
• Jemere AT, Yeneneh YE, Tilahun B, Fritz F, Alemu S, MJBo K. Access to mobile phone and willingness to receive mHealth services among patients with diabetes in Northwest Ethiopia: a cross-sectional study. BMJ Open. 2019;9(1):e021766. doi:10.1136/bmjopen-2018-021766
   PubMed Web of Science ®Google Scholar
• Mendoza G, Okoko L, Konopka S, Jonas EJA. African Strategies for Health Project. mHealth Compendium. 3. . World Health Organization; 2013.
   Google Scholar
• Fikadie B, Willingness to receive short message service mHealth interventions to improve prenatal care among pregnant women attending antenatal care at health centers in Gondar town administration, northwest Ethiopia. 2017.
   Google Scholar
• Piette JD, Mendoza-Avelares MO, Milton EC, Lange I, Fajardo R. Access to mobile communication technology and willingness to participate in automated telemedicine calls among chronically ill patients in Honduras. Telemed E-Health. 2010;16(10):1030–1041. doi:10.1089/tmj.2010.0074
   PubMed Web of Science ®Google Scholar
• Kebede M, Zeleke A, Asemahagn M, Fritz F. Willingness to receive text message medication reminders among patients on antiretroviral treatment in North West Ethiopia: a cross-sectional study. BMC Med Inf Decis Making. 2015;15(1). doi:10.1186/s12911-015-0193-z
   PubMedGoogle Scholar
• Islam FMA, Lambert EA, Islam SMS, Hosen MA, Thompson BR, Lambert GW. Understanding the sociodemographic factors associated with intention to receive SMS messages for health information in a rural area of Bangladesh. BMC Public Health. 2021;21(1). doi:10.1186/s12889-021-12418-9
   Web of Science ®Google Scholar
• Abdi Y. The Use of Mobile Phone for HIV/AIDS Patients Clinical Attendance and Follow-Up in Art Providing Hospitals in Addis Ababa. Ethiopia: Addis Ababa University; 2011.
   Google Scholar
• Ramachandran N, Srinivasan M, Thekkur P, Johnson P, Chinnakali P, Naik BN. Mobile phone usage and willingness to receive health-related information among patients attending a chronic disease clinic in rural Puducherry, India. J Diabetes Sci Technol. 2015;9(6):1350–1351. doi:10.1177/1932296815599005
   PubMedGoogle Scholar
• Bogale B, Habte A, Haile D, Guteta M, Mohammed N, Gebremichael MA. Willingness to receive mHealth messages among diabetes patients at mizan tepi university teaching hospital: implications for digital health. Patient Prefer Adherence. 2022;16:1499–1509. doi:10.2147/PPA.S364604
   PubMed Web of Science ®Google Scholar
• Walle AD, Jemere AT, Tilahun B, et al. Intention to use wearable health devices and its predictors among diabetes mellitus patients in Amhara region referral hospitals, Ethiopia: using modified UTAUT-2 model. Inform Med Unlocked 2023;36:101157.
   Google Scholar
• Endehabtu B, Weldeab A, Were M, Lester R, Worku A, Tilahun B. Mobile phone access and willingness among mothers to receive a text-based mHealth intervention to improve prenatal care in northwest Ethiopia: cross-sectional study. JMIR Pediatr Paren. 2018;1(2):e9. doi:10.2196/pediatrics.9618
   PubMedGoogle Scholar
• Mekonnen ZA, Gelaye KA, Were MC, Tilahun B. Mothers intention to use mobile phone text message reminders for routine child vaccination in Northwest. 2020.
   Google Scholar
• Zurovac D, Otieno G, Kigen S, et al. Ownership and use of mobile phones among health workers, caregivers of sick children and adult patients in Kenya: cross-sectional national survey. Glob Health. 2013;9(1):20. doi:10.1186/1744-8603-9-20
   PubMedGoogle Scholar
• Alimena S, Air MEJMPo PA. Trust, satisfaction, and confidence in health care providers among student and professional dancers in France. Med Probl Perform Artists. 2016;31(3):166–173. doi:10.21091/mppa.2016.3030
   PubMed Web of Science ®Google Scholar
• Cajita MI, Hodgson NA, Lam KW, Yoo S, Han HR. Facilitators of and barriers to mHealth adoption in older adults with heart failure. CIN. 2018;36(8):376–382. doi:10.1097/CIN.0000000000000442
   Google Scholar
• Byambasuren O, Beller E, Hoffmann T, Glasziou P; uHealth. Barriers to and facilitators of the prescription of mHealth apps in Australian general practice: qualitative study. JMIR mHealth uHealth. 2020;8(7):e17447. doi:10.2196/17447
   PubMed Web of Science ®Google Scholar