Adoption of electronic medical records in developing countries-A multi-state study of the Nigerian healthcare system.

Autor:	Akwaowo CD; Community Medicine Department, University of Uyo, Uyo, Nigeria.; Health Systems Research Hub, University of Uyo Teaching Hospital, Uyo, Nigeria., Sabi HM; ICT Department, The ICT University, Yaounde, Cameroon., Ekpenyong N; Community Health Department, University of Calabar, Calabar, Nigeria., Isiguzo CM; Department of Surgery, Federal Medical Centre, Owerri, Nigeria., Andem NF; Hopsital's Management Board, Akwa Ibom State Ministry of Health, Uyo, Nigeria., Maduka O; Department of Preventive and Social Medicine, University of Port Harcourt Teaching Hospital, Port Harcourt, Nigeria., Dan E; Health Systems Research Hub, University of Uyo Teaching Hospital, Uyo, Nigeria., Umoh E; Health Systems Research Hub, University of Uyo Teaching Hospital, Uyo, Nigeria.; Fisheries and Aquaculture, University of Uyo, Uyo, Nigeria., Ekpin V; Health Systems Research Hub, University of Uyo Teaching Hospital, Uyo, Nigeria., Uzoka FM; Department of Mathematics and Computing, Mount Royal University, Calgary, Alberta, Canada.
Jazyk:	angličtina
Zdroj:	Frontiers in digital health [Front Digit Health] 2022 Nov 21; Vol. 4, pp. 1017231. Date of Electronic Publication: 2022 Nov 21 (Print Publication: 2022).
DOI:	10.3389/fdgth.2022.1017231
Abstrakt:	Electronic medical records (EMR) are extensively used in developed countries to manage patient records and facilitate consultations and follow-up of treatment. This has resulted in centralised databases where different services and clinicians can quickly access patient data to support healthcare delivery. However, adoption and usage of EMR in developing countries is not common and, in most cases, non-existent. Clinicians are dependent on patients keeping their own records manually with no centralised database to manage and control the patient medical history. The key objective of this study was to investigate the propensity of clinicians and senior management personnel in healthcare facilities to adopt EMR and evaluate the contextual factors that impact or impede adoption. Using Davis's technology adoption model extended with other factors, this study determined if contextual or situational factors are associated with barriers that impede adoption of EMRs in developing countries. Using a cross-sectional quantitative research approach, a questionnaire was designed to collect data across four states in the Niger Delta region of Nigeria. Stratified random sampling was used to select healthcare facilities that participated in the survey and selection of respondents from each healthcare facility. Data was collected by trained research assistants and a total of 1,177 valid responses were received and analysed using factor analysis and multiple regression analysis. The results from the analysis show that usefulness, critical success factors, awareness and relative advantage significantly influence clinicians' intention to adopt EMRs. Surprisingly, infrastructure availability was not statistically significant. Meanwhile, risk and data security both negatively influence adoption, indicating that user perception of risk and safety of their data decreases their propensity to adopt EMRs. The results from this study suggests that usefulness and anticipated success factors in facilitating operations within healthcare facilities have a great influence on user adoption of EMRs. Awareness, training and education of users on the effectiveness of EMRs and their usefulness will increase adoption. The results will be beneficial in helping government and healthcare leaders formulate policies that will guide and support adoption of EMR. Other policy recommendations and suggestions for future research were also proffered. Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (© 2022 Akwaowo, Sabi, Ekpenyong, Isiguzo, Andem, Maduka, Dan, Umoh, Ekpin and Uzoka.)
Databáze:	MEDLINE
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