AWARENESS AND UTILIZATION OF ELECTRONIC HEALTH RECORDS (EHRS) AMONG HEALTH WORKERS IN PRIMARY HEALTH CENTRES S IN RIVERS WEST SENATORIAL DISTRICT
Abstract
This paper examined the level of the awareness and utilization of Electronic Health Records (EHRs) among health workers in primary health centers (PHCs) in Rivers West Senatorial District. The study adopted analytical cross-sectional research design. The population of the study consists of all the health workers in the 154 PHCs in Rivers West Senatorial District from which 305 health workers were randomly sampled for the study. Data collection was done using self-structured questionnaire titled “awareness and utilization of electronic health records among Health Workers” (UEHRHWQ), designed based on 5-point Likert scale. Data was analyzed using descriptive statistics of frequencies and weighted mean score (WMS) and Spearman’s Rank Correlation The results of the descriptive statistics revealed that; level of EHR awareness among health workers in PHC in Rivers West Senatorial District is adequate (WMS = 3.23 > 3.00) and the extent of utilization of EHR is inadequate among health workers in PHC in Rivers West Senatorial District. (WMS = 4.01 > 3.00). The Spearman’s Rank Correlation results revealed that there is strong, positive and significant relationship between awareness and utilization of EHR among the health workers (r = .983, p =0.0001 < 0.05). Therefore, it was concluded that health workers in primary health centers in Rivers state have substantial knowledge of the EHSs system but there level of utilization of the EHRs systems are low, however, further improvement in the level of awareness of EHRs could results to increase in level of utilization of the EHRs system among the health workers.
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References
Ahmad, H. A. R. (2018). Health workers’ perceptions about and confidence in using an electronic medical record system. Proceedings of Singapore Healthcarel. 27(2) 110–117.
Bakheet, A., Al-Mansour, S., Aldosari, H., Alanazi, A. (2017). Assessment of factors influencing health workers acceptance of electronic medical record in a Saudi Arabia hospital, Informatics in Medicine.10 (2018), 82-88
Essuman, L., Apaaka, D., Ansaha, E., Sambaha, F., Ansaha, J., Oparea, M., Opoku, B. (2020). Factors associated with the utilization of electronic medical records in the Eastern Region of Ghana, Health Policy and Technology (9) 362-367, https://www.researchgate.net/publication/343797761
Gholami, M., Damanabi, S., Hachesu, P.R., Ghyassi, F. S. (2019). Evaluation of nursing information systems using the HIS-monitor instrument: Health workers perspectives. Iran J med inform. 8 (1): e9 doi: 10.30699/fhi.v8i1.178
Hayrinen, K., Saranto, K., & Nykanen, P. (2008). Definition, structure, content, use and impacts of electronic health records: A Review of the Research Literature. International Journal of Medical Informatics.;77 (5), 291-304.
Hebda T., & Czar P. (2013) Handbook of informatics for health workers and healthcare professionals. Fifth Edition. New Jersey, Pearson Education Incorporated. United States of America.
Khwima, E. (2017). Factors affecting the utilization of electronic medical records system in Malawian central hospitals 247, Malawi Medical Journal 29(3), 23-34.
Kossman, S.P (2006). Perceptions of impact of electronic health records on health workers’ work, consumer-centered computer-supported care for healthy people, p.337-341 H.-A. Park et al. (Eds.) IOS Press,
Plantier, M., Havet, N., Durand, T., Caquot, N., Amaz, C., Biron, P., & Perrier, L. (2017). Does adoption of electronic health records improve the quality-of-care management in France? Results from the French e-SI (PREPS-SIPS) study. International Journal of Medical Informatics, 102(March), 156–165. https://doi.org/10.1016/j. ijmedinf.2017.04.002
Saima, S., Muhammad, A., Muhammad, H., Syed, A. (2017). Nursing perceptions of electronic documentation. Saudi Journal of Medical and Pharmaceutical Sciences, Vol-3 (8:926-935, DOI: 10.21276/sjmps. http://scholarsmepub.com/sjmps/
Savage, B. A., Titus, A. E., Manns, J. G., & Lee, R. A. (2014). BCMA scanning stars. CIN: Computers, Informatics, Nursing, 32(9), 413–419.
Smith, K., Smith, V., Krugman, M., & Oman, K. (2005). Evaluating the impact of computerized clinical documentation. CIN: Computers, Informatics, Nursing, 23(3), 132-138.
World Health Organization. (2013). WHO nursing midwifery progress report 2008–2012. Retrieved from http://www.who.int/hrh/nursing_
World Health Organization. (2018). Retrieved from https://www.who.int/goe/en/
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