Awino Josephine Akeyo1 , Doreen Othero2 , Thomas Mawora3 and Collins Otieno Asweto4
1,2. Department of Public Health, Maseno University, Kisumu, Kenya, P.O Box 2803- 40100, Kisumu, Kenya.
3. School of Mathematics, Maseno University, Kisumu, Kenya
4. Department of Community Health, University of Embu, P.O. BOX 6-60100, Embu, Kenya

MLA 8
Akeyo, Awino Josephine, et al. "Empowering Health Care Through EHR: Staff Attributes and System Sustainability." Int. j. of Social Science and Economic Research, vol. 10, no. 6, June 2025, pp. 1899-1922, doi.org/10.46609/IJSSER.2025.v10i06.001.
APA 6
Akeyo, A., Othero, D., Mawora, T., & Asweto, C. (2025, June). Empowering Health Care Through EHR: Staff Attributes and System Sustainability. Int. j. of Social Science and Economic Research, 10(6), 1899-1922. Retrieved from https://doi.org/10.46609/IJSSER.2025.v10i06.001
Chicago
Akeyo, Awino Josephine, Doreen Othero, Thomas Mawora, and Collins Otieno Asweto. "Empowering Health Care Through EHR: Staff Attributes and System Sustainability." Int. j. of Social Science and Economic Research 10, no. 6 (June 2025), 1899-1922. Accessed June, 2025. https://doi.org/10.46609/IJSSER.2025.v10i06.001.

References

[1] . Gatiti P, Ndirangu E, Mwangi J, Mwanzu A, Ramadhani T. Enhancing Healthcare Quality in Hospitals through Electronic Health Records: A Systematic Review. Libraries [Internet]. 2021;15(2):2021. Available from: https://scholars.aku.edu/en/publications/enhancing-healthcare-quality-in-hospitals-through-electronic-heal
[2] . Barbieri C, Neri L, Stuard S, Mari F, Martín-Guerrero JD. From electronic health records to clinical management systems: how the digital transformation can support healthcare services. Clinical Kidney Journal. 2023;16(11):1878–84.
[3] . Kuek A, Hakkennes S. Healthcare staff digital literacy levels and their attitudes towards information systems. Health Informatics Journal. 2020;26(1):592–612.
[4] . Shahbaz M, Gao C, Zhai LL, Shahzad F, Hu Y. Investigating the adoption of big data analytics in healthcare: the moderating role of resistance to change. Journal of Big Data [Internet]. 2019;6(1). Available from: https://doi.org/10.1186/s40537-019-0170-y
[5] . Wittenauer R, Dolan SB, Njoroge A, Onyango P, Owiso G, Rabinowitz P, et al. Usability and Acceptability of Electronic Immunization Registry Data Entry Workflows From the Health Care Worker Perspective in Siaya, Kenya (Part 3): Pre-Post Study. JMIR Formative Research. 2023;7:1–12.
[6] . Farokhzadian J, Khajouei R, Hasman A, Ahmadian L. Nurses’ experiences and viewpoints about the benefits of adopting information technology in health care: a qualitative study in Iran. BMC medical informatics and decision making. 2020;20(1):240.
[7] . Spatar D, Kok O, Basoglu N, Daim T. Adoption factors of electronic health record systems. Technology in Society [Internet]. 2019;58(February):101144. Available from: https://doi.org/10.1016/j.techsoc.2019.101144
[8] . Brown J, Pope N, Bosco AM, Mason J, Morgan A. Issues affecting nurses’ capability to use digital technology at work: An integrative review. Journal of Clinical Nursing. 2020;29(15–16):2801–19.
[9] . Haleem A, Javaid M, Pratap Singh R, Suman R. Medical 4.0 technologies for healthcare: Features, capabilities, and applications. Internet of Things and Cyber-Physical Systems [Internet]. 2022;2(April):12–30. Available from: https://doi.org/10.1016/j.iotcps.2022.04.001
[10] . Rahi S, Khan MM, Alghizzawi M. Extension of technology continuance theory (TCT) with task technology fit (TTF) in the context of Internet banking user continuance intention. International Journal of Quality and Reliability Management. 2021;38(4):986–1004.
[11] . Wang X, Cheng Z. Cross-Sectional Studies: Strengths, Weaknesses, and Recommendations. Chest [Internet]. 2020;158(1):S65–71. Available from: https://doi.org/10.1016/j.chest.2020.03.012
[12] . Tavares J, Oliveira T. Electronic health record portal adoption: a cross country analysis. BMC medical informatics and decision making. 2017;17:1–17.
[13] . Nason BV, Christine AA, Tommy A, Enahoro QE. Healthcare Ethics and Innovation. Cari Journals USA LLC; 2024.
[14] . Saoke VO, Ndwiga ZN, Githaiga PW, Musafiri CM. Determinants of awareness and implementation of five-stage lesson plan framework among Christian Religious Education teachers in Meru County, Kenya. Heliyon [Internet]. 2022;8(11):e11177. Available from: https://doi.org/10.1016/j.heliyon.2022.e11177
[15] . Miller ME. Electronic health records. Annals of Internal Medicine. 2014;161(9):679.
[16] . Attah AO. Implementing the Electronic Health Record in a Nigerian Secondary Healthcare Facility?: Prospects and Challenges . 2017;
[17] . Ime BI, Philip A, Enyong M. Limiting Factors on the Effective and Efficient Management of Health Records in General Hospital Eket. Trends in Health Informatics. 2024;1(1):31–46.
[18] . Nwosu NT. Reducing operational costs in healthcare through advanced BI tools and data integration. World Journal of Advanced Research and Reviews. 2024;22(3):1144–56.
[19] . Singh AS, Masuku MB, Department. Sampling techniques & determination of sample size in applied statistics research. Inwood Magazine. 2011;II(96):32–3.
[20] . Arora N. Understanding heterogeneity in the job preferences of community-based healthcare workers: Applications from Ethiopia and Ghana. London School of Hygiene & Tropical Medicine; 2022.
[21] . Teresi JA, Yu X, Stewart AL, Hays RD. Guidelines for Designing and Evaluating Feasibility Pilot Studies. Medical Care. 2022;60(1):95–103.
[22] . Harmon CL. Relationship Between Respect, Trust, and Turnover Intentions. Walden University; 2024.
[23] . Henry G. The Relationship Between Operating Efficiency, Credit Score, and Small Business Sustainability. Walden University; 2024.
[24] . Khan R, Khan S, Almohaimeed HM, Almars AI, Pari B. Utilization, Challenges, and Training Needs of Digital Health Technologies: Perspectives from Healthcare Professionals. International Journal of Medical Informatics. 2025;105833.
[25] . Akwaowo CD, Sabi HM, Ekpenyong N, Isiguzo CM, Andem NF, Maduka O, et al. Adoption of electronic medical records in developing countries—A multi-state study of the Nigerian healthcare system. Frontiers in Digital Health. 2022;4:1017231.
[26] . Williams CL. Still a man’s world: Men who do women’s work. Vol. 1. Univ of California Press; 2023.
[27] . Morike T. Determinants of Data Use for Evidence Based Decision Making at Public Health Facilities in Kisumu County, Kenya. Kenyatta University; 2023.
[28] . Oo HM, Htun YM, Win TT, Han ZM, Zaw T, Tun KM. Information and communication technology literacy, knowledge and readiness for electronic medical record system adoption among health professionals in a tertiary hospital, Myanmar: A cross-sectional study. Plos one. 2021;16(7):e0253691.
[29] . Nowrozy R. A Security and Privacy Compliant Data Sharing Solution For Healthcare Data Ecosystems. Victoria University; 2024.
[30] . Khairat S, Coleman GC, Russomagno S, Gotz D. Assessing the status quo of EHR accessibility, usability, and knowledge dissemination. eGEMs. 2018;6(1):9.
[31] . Mwogosi A, Kibusi S. Critical success factors for EHR systems implementation in developing countries: a systematic review. Global Knowledge, Memory and Communication. 2024;
[32] . Tsai MF, Hung SY, Yu WJ, Chen CC, Yen DC. Understanding physicians’ adoption of electronic medical records: Healthcare technology self-efficacy, service level and risk perspectives. Computer Standards & Interfaces. 2019;66:103342.
[33] . Cooper N, Millela F, Cant I, White MD, Meyer G. Transfer of training—Virtual reality training with augmented multisensory cues improves user experience during training and task performance in the real world. PloS one. 2021;16(3):e0248225.
[34] . Davis F. User Acceptance of Information Systems: The Technology Acceptance Model. Inter-Organizational Information Systems and Business Management. 1989. p. 234–50.
[35] . Al-Otaibi J, Tolma E, Alali W, Alhuwail D, Aljunid SM. The factors contributing to physicians’ current use of and satisfaction with electronic health records in Kuwait’s public health care: cross-sectional questionnaire study. JMIR Medical Informatics. 2022;10(10):e36313.
[36] . Kroth PJ, Morioka-Douglas N, Veres S, Pollock K, Babbott S, Poplau S, et al. The electronic elephant in the room: physicians and the electronic health record. JAMIA open. 2018;1(1):49–56.
[37] . Spatar D, Kok O, Basoglu N, Daim T. Adoption factors of electronic health record systems. Technology in Society. 2019;58:101144.
[38] . Tutty MA, Carlasare LE, Lloyd S, Sinsky CA. The complex case of EHRs: examining the factors impacting the EHR user experience. Journal of the American Medical Informatics Association. 2019;26(7):673–7.
[39] . Tsai CH, Eghdam A, Davoody N, Wright G, Flowerday S, Koch S. Effects of electronic health record implementation and barriers to adoption and use: A scoping review and qualitative analysis of the content. Life. 2020;10(12):1–27.
[40] . Niazkhani Z, Toni E, Cheshmekaboodi M, Georgiou A, Pirnejad H. Barriers to patient, provider, and caregiver adoption and use of electronic personal health records in chronic care: a systematic review. BMC medical informatics and decision making. 2020;20:1–36.
[41] . Olakotan OO, Mohd Yusof M. The appropriateness of clinical decision support systems alerts in supporting clinical workflows: a systematic review. Health informatics journal. 2021;27(2):14604582211007536.
[42] . Baporikar N. Role of Information Technology in Enhancing Healthcare Services. In: Digital Technologies for a Resource Efficient Economy. IGI Global; 2024. p. 63–87.
[43] . Moy AJ, Hobensack M, Marshall K, Vawdrey DK, Kim EY, Cato KD, et al. Understanding the perceived role of electronic health records and workflow fragmentation on clinician documentation burden in emergency departments. Journal of the American Medical Informatics Association. 2023;30(5):797–808.
[44] . Kruse CS, Kothman K, Anerobi K, Abanaka L. Adoption factors of the electronic health record: a systematic review. JMIR medical informatics. 2016;4(2):e5525.
[45] . Furukawa MF, Eldridge N, Wang Y, Metersky M. Electronic health record adoption and rates of in-hospital adverse events. Journal of patient safety. 2020;16(2):137–42.
[46] . Lyles CR, Nelson EC, Frampton S, Dykes PC, Cemballi AG, Sarkar U. Using electronic health record portals to improve patient engagement: research priorities and best practices. Annals of internal medicine. 2020;172(11_Supplement):S123–9.
[47] . Dendere R, Slade C, Burton-Jones A, Sullivan C, Staib A, Janda M. Patient portals facilitating engagement with inpatient electronic medical records: a systematic review. Journal of medical Internet research. 2019;21(4):e12779.
[48] . Mohamadali NA, Ab Aziz NF. the technology factors as barriers for sustainable health information systems (his)–a review. Procedia Computer Science. 2017;124:370–8.
[49] . Papadopoulos K, Von Wyl V, Gille F. What is public trust in national electronic health record systems? A scoping review of qualitative research studies from 1995 to 2021. Digital Health. 2024;10:20552076241228024.
[50] . Cresswell KM, Lee L, Mozaffar H, Williams R, Sheikh A, Team N ePrescribing P, et al. Sustained user engagement in health information technology: the long road from implementation to system optimization of computerized physician order entry and clinical decision support systems for prescribing in hospitals in England. Health Services Research. 2017;52(5):1928–57.
[51] . Adeyemi OA. Organizational Change and how it affects Healthcare Employees?: a Study on Employee Resistance To Change in Electronic Medical Record Implementation. 2017;24.
[52] . Touliabah EHE, Mori S, Nomura R. Enhancing Cognitive Navigation for Sustainable Campus Environments: Insights from Path Network Evaluation Surrounding Egyptian Universities. Sustainability (2071-1050). 2025;17(2).
[53] . Sugandini D, Purwoko P, Pambudi A, Resmi S, Reniati R, Muafi M, et al. The role of uncertainty, perceived ease of use, and perceived usefulness towards the technology adoption. International Journal of Civil Engineering and Technology (IJCIET). 2018;9(4):660–9.