Manyati TK, Mutsau M. A systematic review of the factors that hinder the scale up of mobile health technologies in antenatal care programmes in sub-Saharan Africa. Afr J Sci Technol Innov Dev. 2021;13(1):125–31.

Article  Google Scholar 

Opoku D, Stephani V, Quentin W. A realist review of mobile phone-based health interventions for non-communicable disease management in sub-Saharan Africa. BMC Med. 2017;15(1):1–12.

Article  Google Scholar 

Deepa M, Shruti M, Mohan V. Reducing the global burden of diabetes using mobile health. Diabetes Digital Health: Elsevier; 2020. p. 3–23.

Google Scholar 

Tumuhimbise W, Musiimenta A. A review of mobile health interventions for public private mix in tuberculosis care. Internet Interv. 2021;25: 100417.

Article  PubMed  PubMed Central  Google Scholar 

Osei E, Mashamba-Thompson TP. Mobile health applications for disease screening and treatment support in low-and middle-income countries: A narrative review. Heliyon. 2021;7(3):e06639.

Article  PubMed  PubMed Central  Google Scholar 

ITU. Mobile cellular subscriptions - Low & middle income 2021 [cited 2023 6th June]. Available from: https://data.worldbank.org/indicator/IT.CEL.SETS?end=2021&locations=XO&start=1960&view=chart.

UNPD. Population, total - Low & middle income. United Nations Population Division. World Population Prospects: 2022 Revision 2022 [cited 2023 12th June]. Available from: https://data.worldbank.org/indicator/SP.POP.TOTL?locations=XO.

May CR, Mair F, Finch T, MacFarlane A, Dowrick C, Treweek S, et al. Development of a theory of implementation and integration: Normalization Process Theory. Implement Sci. 2009;4(1):1–9.

Article  Google Scholar 

Loman SL, Rodriguez BJ, Horner RH. Sustainability of a targeted intervention package: first step to success in Oregon. J Emot Behav Disord. 2010;18(3):178–91.

Article  Google Scholar 

Kao C-K, Liebovitz DM. Consumer mobile health apps: current state, barriers, and future directions. PM&R. 2017;9(5):S106–15.

Google Scholar 

Chamberlain S. Pilot-itis: What’s the cure? : GSMA; 2012 [cited 2023 12th December]. Available from: https://www.gsma.com/mobilefordevelopment/programme/mhealth/pilot-itis-whats-the-cure/.

Riley WT, Glasgow RE, Etheredge L, Abernethy AP. Rapid, responsive, relevant (R3) research: a call for a rapid learning health research enterprise. Clin Transl Med. 2013;2(1):1–6.

Article  Google Scholar 

Ben-Zeev D, Schueller SM, Begale M, Duffecy J, Kane JM, Mohr DC. Strategies for mHealth research: lessons from 3 mobile intervention studies. Administration and Policy in Mental Health and Mental Health Services Research. 2015;42:157–67.

Article  PubMed  Google Scholar 

Govasli L, Solvoll BA. Nurses’ experiences of busyness in their daily work. Nurs Inq. 2020;27(3): e12350.

Article  PubMed  Google Scholar 

Yami A, Hamza L, Hassen A, Jira C, Sudhakar M. Job satisfaction and its determinants among health workers in jimma university specialized hospital, southwest ethiopia. Ethiopian J Health Sci. 2011;21:19–27.

Google Scholar 

Tung TH, Hsiung MC. Work fatigue in a hospital setting: the experience at cheng hsin general hospital. In Healthcare 2021;9(6):776. MDPI.

Ghorrabi AT, Kakemam E, Moradi-Joo E, Dehcheshmeh NF. Challenges of the organizational structure of county health network in Iran: findings from a qualitative study. BMC Health Serv Res. 2022;22(1):712.

Article  PubMed  PubMed Central  Google Scholar 

WHO. Physicians (per 1,000 people) - Low & middle income. World Health Organization's Global Health Workforce Statistics, OECD, supplemented by country data. 2018 [cited 2023 12th June]. Available from: https://data.worldbank.org/indicator/SH.MED.PHYS.ZS?locations=XO.

Bong C-L, Brasher C, Chikumba E, McDougall R, Mellin-Olsen J, Enright A. The COVID-19 pandemic: effects on low-and middle-income countries. Anesthesia Analg. 2020;131(1):86–92.

Article  CAS  Google Scholar 

Lobelo F, Kelli HM, Tejedor SC, Pratt M, McConnell MV, Martin SS, et al. The wild wild west: a framework to integrate mHealth software applications and wearables to support physical activity assessment, counseling and interventions for cardiovascular disease risk reduction. Prog Cardiovasc Dis. 2016;58(6):584–94.

Article  PubMed  PubMed Central  Google Scholar 

Venkatesh V, Morris MG, Davis GB, Davis FD. User acceptance of information technology: Toward a unified view. MIS quarterly. 2003;4:425–78.

Damschroder LJ, Aron DC, Keith RE, Kirsh SR, Alexander JA, Lowery JC. Fostering implementation of health services research findings into practice: a consolidated framework for advancing implementation science. Implement Sci. 2009;4(1):1–15.

Article  Google Scholar 

Michie S, Van Stralen MM, West R. The behaviour change wheel: a new method for characterising and designing behaviour change interventions. Implement Sci. 2011;6(1):1–12.

Article  Google Scholar 

Glasgow RE, McKay HG, Piette JD, Reynolds KD. The RE-AIM framework for evaluating interventions: what can it tell us about approaches to chronic illness management? Patient Educ Couns. 2001;44(2):119–27.

Article  CAS  PubMed  Google Scholar 

Arksey H, O’Malley L. Scoping studies: towards a methodological framework. Int J Soc Res Methodol. 2005;8(1):19.

Article  Google Scholar 

Tricco A, Lillie E, Zarin W, O’Brien K, Colquhoun H, Levac D, et al. PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation. Ann Intern Med. 2018;169(7):467–73.

Article  PubMed  Google Scholar 

Rabin BA, Brownson RC, Haire-Joshu D, Kreuter MW, Weaver NL. A glossary for dissemination and implementation research in health. J Public Health Manag Pract. 2008;14(2):117–23.

Article  PubMed  Google Scholar 

Moullin JC, Sabater-Hernández D, Fernandez-Llimos F, Benrimoj SI. A systematic review of implementation frameworks of innovations in healthcare and resulting generic implementation framework. Health Research Policy and Systems. 2015;13(1):16.

Article  PubMed  PubMed Central  Google Scholar 

Damschroder LJ, Reardon CM, Widerquist MA, Lowery J. The updated Consolidated Framework for Implementation Research based on user feedback. Implementation science. 2022;17(1):75.

El Joueidi S, Bardosh K, Musoke R, Tilahun B, Abo Moslim M, Gourlay K, MacMullin A, Cook VJ, Murray M, Mbaraga G, Nsanzimana S. Evaluation of the implementation process of the mobile health platform ‘WelTel’in six sites in East Africa and Canada using the modified consolidated framework for implementation research (mCFIR). BMC Med Inform Decis Mak . 2021;21:1–5.

May C, Finch T. Implementing, embedding, and integrating practices: an outline of normalization process theory. Sociology. 2009;43(3):535–54.

Article  Google Scholar 

May CR, Cummings A, Girling M, Bracher M, Mair FS, May CM, et al. Using normalization process theory in feasibility studies and process evaluations of complex healthcare interventions: a systematic review. Implement Sci. 2018;13(1):1–27.

Article  Google Scholar 

Michie S, Atkins L, West R. The behaviour change wheel. A guide to designing interventions. 2014;1:1003–10.

Ayakaka I, Ackerman S, Ggita JM, Kajubi P, Dowdy D, Haberer JE, et al. Identifying barriers to and facilitators of tuberculosis contact investigation in Kampala, Uganda: a behavioral approach. Implement Sci. 2017;12(1):33.

Article  PubMed  PubMed Central  Google Scholar 

Michie S, Van Stralen MM, West R. The behaviour change wheel: a new method for characterising and designing behaviour change interventions. Implement Sci. 2011;6(1):42.

Article  PubMed  PubMed Central  Google Scholar 

Glasgow RE, Vogt TM, Boles SM. Evaluating the public health impact of health promotion interventions: the RE-AIM framework. Am J Public Health. 1999;89(9):1322–7.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Zeiler M, Kuso S, Nacke B, Klesges LM, Waldherr K. Evaluating reach, adoption, implementation and maintenance of Internet-based interventions to prevent eating disorders in adolescents: a systematic review. Eur J Public Health. 2021;31(Supplement_1):i38–47.

Article  Google Scholar 

Asare M, Popelsky B, Akowuah E, Lanning BA, Montealegre JR. Internal and external validity of social media and mobile technology-driven HPV vaccination interventions: systematic review using the reach, effectiveness, adoption, implementation, maintenance (RE-AIM) framework. Vaccines. 2021;9(3):197.

Ashley BS, Chelsea SW, Melissa SS. Understanding the use of digital technology to promote human papillomavirus vaccination – A RE-AIM framework approach. Hum Vaccin Immunother. 2019;15(7–8):1549–61.

Google Scholar 

Weiner BJ. A theory of organizational readiness for change. Implement Sci. 2009;4(1):1–9.

Article  Google Scholar 

Powell B, Waltz T, Chinman M, Damschroder L, Smith J, Matthieu M, et al. A refined compilation of implementation strategies: results from the Expert Recommendations for Implementing Change (ERIC) project. Implementation Science. 2015;10(21).

Guba EG, Lincoln YS. Fourth generation evaluation: Sage; 1989.

Tumuhimbise W, Atwine D, Kaggwa F, Musiimenta A. Enhancing tuberculosis care in southwestern Uganda: Facilitators and barriers to utilizing mobile health technologies. Global Implementation Research and Applications. 2022:1–11.

Tumuhimbise W, Atwine D, Kaggwa F, Musiimenta A. Acceptability and feasibility of a mobile health application for enhancing public private mix for TB care among healthcare Workers in Southwestern Uganda. BMC Digital Health. 2023;1(1):1–11.

Article  Google Scholar 

Tumuhimbise W, Musiimenta A. Barriers and Motivators of Private Hospitals’ Engagement in Tuberculosis Care in Uganda. Global Implementation Research and Applications. 2021;1(4):279–90.

Article  PubMed  PubMed Central  Google Scholar 

Tumuhimbise W. A Mobile Health Framework for Public Private Mix in Tuberculosis Prevention and Care in Southwestern Uganda 2022.

Hafez A, Wang Y. A training social media mobile app prototype for the elderly: a pilot study. InAdvances in Usability and User Experience: Proceedings of the AHFE 2019 International Conferences on Usability & User Experience, and Human Factors and Assistive Technology, July 24-28, 2019. Washington: Springer International Publishing; 2020. pp. 188–197.

Larsen GD. Understanding the early stages of the innovation diffusion process: awareness, influence and communication networks. Construction Manage Econ. 2011;29(10):987–1002.

Ahtinen A, Mattila E, Välkkynen P, Kaipainen K, Vanhala T, Ermes M, et al. Mobile mental wellness training for stress management: feasibility and design implications based on a one-month field study. JMIR Mhealth Uhealth. 2013;1(2): e2596.

Article  Google Scholar 

Hayes S, Luoma J, Bond F, Masuda A, Lillis J. Behaviour research and therapy. Behav Res Ther. 2006;44:1–25.

Article  PubMed