ACCEPTANCE AND BARRIER OF ELECTRONIC HEALTH RECORDS IN A TERTIARY HOSPITAL IN NIGERIA

Mary Aina Ogbonna, Oluwatoyin Mary Oluwafemi, Phebean Opeyemi Ojo

Abstract


Purpose: This study assesses the performance, determine the barriers and effects of electronic health records on the staff of Obafemi Awolowo Teaching Hospital, Ile-Ife, Osun State, Nigeria. Method/Approach: This study was designed to explore the experiences of staff that practised a computerized or electronic health record in Obafemi Awolowo Teaching Hospital, Osun State, Nigeria (OAUTH). This study utilized a quantitative method. The study sample includes 10 respondents from the intensive care unit, 40 respondents from the health information department, 25 respondents from nurses and 25 respondents from the medical doctors of the hospital. The respondents were purposively selected and the instrument (questionnaire) was administered using the random sampling technique. Findings/results: This study showed that there is a high performance (80%) of EHR in the hospital. Most respondents (65%) opined that EHR is easy to use. The assessment of the respondents about the ability of EHR to reduce medical error revealed that about 75% said EHR will reduce medical error. In addition to this, about 80% of the respondents said EHR is important in the transmission of patient prescription. The barrier to the implementation of electronic health record includes an inadequate computer (50%), lack of uniform hospital standard (55%), start-up financial costs (60%) and training and productivity loss. Recommendation: The hospital management, federal and state government and non-governmental organizations should work together to remove all barrier to the implementation of electronic health records through the provision of computer systems, finance, stable electricity supply, man-power training and employment of adequate staff.

Article visualizations:

Hit counter


Keywords


barriers and effects of electronic health, tertiary hospital in Nigeria

Full Text:

PDF

References


Adamu, J., Hamzah, R., & Rosli, M. M. (2020). Security issues and framework of electronic medical record: A review. Bulletin of Electrical Engineering and Informatics, 9(2), 565–572.

Adeleke, I. T., Erinle, S. A., Ndana, A. M., Anamah, T. C., Ogundele, O. A., & Aliyu, D. (2014). Health information technology in Nigeria: Stakeholders’ perspectives of nationwide implementations and meaningful use of the emerging technology in the most populous black nation. American Journal of Health Research, 3(1–1), 17–24.

Bello, O. W., Faruk, N., Oloyode, A. A., & Popoola, S. I. (2016). Driving Electronic Health Record System Implementation in Nigeria: A Proposal. Proc. of the 1 St International Conference of IEEE Nigeria Computer Chapter In collaboration with Dept. of Computer Science, University of Ilorin, Ilorin, Nigeria, 200-204

Berges, I., Bermúdez, J., & Illarramendi, A. (2011). Toward semantic interoperability of electronic health records. IEEE Transactions on Information Technology in Biomedicine, 16(3), 424–431.

Berner, E. S., Detmer, D. E., & Simborg, D. (2005). Will the wave finally break? A brief view of the adoption of electronic medical records in the United States. Journal of the American Medical Informatics Association, 12(1), 3–7.

Boonstra, A., & Broekhuis, M. (2010). Barriers to the acceptance of electronic medical records by physicians from systematic review to taxonomy and interventions. BMC Health Services Research, 10(1), 231.

Carayon, P., Cartmill, R., Blosky, M. A., Brown, R., Hackenberg, M., Hoonakker, P., Hundt, A. S., Norfolk, E., Wetterneck, T. B., & Walker, J. M. (2011). ICU nurses’ acceptance of electronic health records. Journal of the American Medical Informatics Association, 18(6), 812–819.

Carayon, P., Hundt, A. S., & Wetterneck, T. B. (2010). Nurses’ acceptance of Smart IV pump technology. International Journal of Medical Informatics, 79(6), 401–411.

Chaudhry, B., Wang, J., Wu, S., Maglione, M., Mojica, W., Roth, E., Morton, S. C., & Shekelle, P. G. (2006). Systematic review: Impact of health information technology on quality, efficiency, and costs of medical care. Annals of Internal Medicine, 144(10), 742–752.

Duranti, L. (2010). Concepts and principles for the management of electronic records, or records management theory is archival diplomatics. Records Management Journal, 20(1), 78-95. http://dx.doi.org/10.1108/09565691011039852

Esther Omolara, A., Jantan, A., Abiodun, O. I., Arshad, H., Dada, K. V., & Emmanuel, E. (2020). Honey Details: A prototype for ensuring patient’s information privacy and thwarting electronic health record threats based on decoys. Health Informatics Journal, 26(3):2083-2104

Estiri, H., Stephens, K. A., Klann, J. G., & Murphy, S. N. (2018). Exploring completeness in clinical data research networks with DQe-c. Journal of the American Medical Informatics Association, 25(1), 17–24. DOI: 10.1177/1460458219894479

Gunter, T. D., & Terry, N. P. (2005). The emergence of national electronic health record architectures in the United States and Australia: Models, costs, and questions. Journal of Medical Internet Research, 7(1), 1-8. doi: 10.2196/jmir.7.1.e3

Hamilton, D., Lane, J. V., Gaston, P., Patton, J., Macdonald, D., Simpson, A., & Howie, C. (2014). Assessing treatment outcomes using a single question: The net promoter score. The Bone & Joint Journal, 96(5), 622–628.

HealthIT.gov. (2019). Benefits of electronic health records (EHRs). Available at https://www.healthit.gov/faq/what-are-advantages-electronic-health-records. Assessed 25-09-2020.

Holden, R. J., & Karsh, B.-T. (2010). The technology acceptance model: Its past and its future in health care. Journal of Biomedical Informatics, 43(1), 159–172.

ILE, C., & Ojowhoh, D. R. (2020). Extent of Adoption of Electronic Records Protection Practices in Polytechnics in Edo and Delta States. International Scholar Journal of Arts and Social Science Research, 2(4), 40–48.

Janus, K., Amelung, V. E., Baker, L. C., Gaitanides, M., Schwartz, F. W., & Rundall, T. G. (2008). Job satisfaction and motivation among physicians in academic medical centers: Insights from a cross-national study. Journal of Health Politics, Policy and Law, 33(6), 1133–1167.

Kloss, L. (2013). Redefining the role of health information management in the new world of information governance. Iron Mountain Incorporated. https://www.ironmountain.com/resources/whitepapers/r/redefining-the-role-of-health-information-management-in-the-new-world-of-information-governance

Kowitlawakul, Y., Chan, S. W. C., Pulcini, J., & Wang, W. (2015). Factors influencing nursing students’ acceptance of electronic health records for nursing education (EHRNE) software program. Nurse Education Today, 35(1), 189–194.

Levingston, S. (2012). Opportunities in physician electronic health records: A road map for vendors. Bloomberg Government. Accessed from http://www.healthit.gov/providers-professionals/why-adopt-ehrs

Lupton, D. (2014). The commodification of patient opinion: The digital patient experience economy in the age of big data. Sociology of Health & Illness, 36(6), 856–869.

Marutha, N. S. (2011). Records management in support of service delivery in the public health sector of the Limpopo Province in South Africa. A thesis submitted in accordance with the requirements for the degree of Master of Information Science at the University of South Africa

McDonald, C. J. (2006). Computerization can create safety hazards: A bar-coding near miss. Annals of Internal Medicine, 144(7), 510–516.

Menachemi, N., & Collum, T. H. (2011). Benefits and drawbacks of electronic health record systems. Risk Management and Healthcare Policy, 4, 47-56.

Middleton, B., Bloomrosen, M., Dente, M. A., Hashmat, B., Koppel, R., Overhage, J. M., Payne, T. H., Rosenbloom, S. T., Weaver, C., & Zhang, J. (2013). Enhancing patient safety and quality of care by improving the usability of electronic health record systems: Recommendations from AMIA. Journal of the American Medical Informatics Association, 20(e1), e2–e8. doi: 10.1136/amiajnl-2012-001458

Ofek, Z., Ben-Tal, S., Ackerman, Y., Mazar, Y., Zohar, Y., Sigalov, D., Young, O., Gome, Z., Giterman, B., & Boaz, D. (2012). System and methods for facilitating computerized interactions with EMRS. Patent Application Publication, 1-227

Or, C., Dohan, M., & Tan, J. (2014). Understanding critical barriers to implementing a clinical information system in a nursing home through the lens of a socio-technical perspective. Journal of Medical Systems, 38(9), 99.

Piras, E. M., & Zanutto, A. (2010). Prescriptions, x-rays and grocery lists. Designing a Personal Health Record to support (the invisible work of) health information management in the household. Computer Supported Cooperative Work (CSCW), 19(6), 585–613.

Qureshi, N. A., Al-Dossari, D. S., Al-Zaagi, I. A., Al-Bedah, A. M., Abudalli, A. N. S., & Koenig, H. G. (2015). Electronic health records, electronic prescribing and medication errors: A systematic review of literature, 2000-2014. Journal of Advances in Medicine and Medical Research, 672–704.

Rothman, B., Leonard, J. C., & Vigoda, M. M. (2012). Future of electronic health records: Implications for decision support. Mount Sinai Journal of Medicine: A Journal of Translational and Personalized Medicine, 79(6), 757–768.

Shahbahrami, A., Moayed Rezaie, S., & Hafezi, M. (2016). Effective factors in acceptance of electronic health record from employees’ point of view. Journal of Guilan University of Medical Sciences, 24(96), 50–60.

Sinha, R. (2010). Impact of health information technology in public health. Sri Lanka Journal of Bio-Medical Informatics, 1(4): 223-36

Tiwari, V., Thakur, R. S., & Tiwari, B. (2018). Optimization of EHR Data Flow toward Healthcare Analytics. 637–643.

Victoroff, M. S. (2014). Electronic Health Records and Patient Safety. In Patient Safety in Surgery. IMIA Yearbook of Medical Informatics. 265–298

Wachter, R. M. (2006). Could computerization harm patient safety? Medscape General Medicine, 8(2), 84-93.

Weston, M., & Roberts, D. (2013). The influence of quality improvement efforts on patient outcomes and nursing work: A perspective from chief nursing officers at three large health systems. OJIN: The Online Journal of Issues in Nursing, 18(3), 1–10.

Wilkins, M. A. (2009). Factors influencing acceptance of electronic health records in hospitals. Perspectives in Health Information Management/AHIMA, American Health Information Management Association, 6(Fall), 1-20

World Health Organization. (2012). National eHealth strategy toolkit. International Telecommunication Union. Available at https://apps.who.int/iris/handle/10665/75211.




DOI: http://dx.doi.org/10.46827/ejsss.v5i6.960

Copyright (c) 2020 Mary Aina Ogbonna, Oluwatoyin Mary Oluwafemi, Phebean Opeyemi Ojo

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

The research works published in this journal are free to be accessed. They can be shared (copied and redistributed in any medium or format) and\or adapted (remixed, transformed, and built upon the material for any purpose, commercially and\or not commercially) under the following terms: attribution (appropriate credit must be given indicating original authors, research work name and publication name mentioning if changes were made) and without adding additional restrictions (without restricting others from doing anything the actual license permits). Authors retain the full copyright of their published research works and cannot revoke these freedoms as long as the license terms are followed.

Copyright © 2016 - 2023. European Journal Of Social Sciences Studies (ISSN 2501-8590) is a registered trademark of Open Access Publishing Group. All rights reserved.

This journal is a serial publication uniquely identified by an International Standard Serial Number (ISSN) serial number certificate issued by Romanian National Library. All the research works are uniquely identified by a CrossRef DOI digital object identifier supplied by indexing and repository platforms. All the research works published on this journal are meeting the Open Access Publishing requirements and standards formulated by Budapest Open Access Initiative (2002), the Bethesda Statement on Open Access Publishing (2003) and  Berlin Declaration on Open Access to Knowledge in the Sciences and Humanities (2003) and can be freely accessed, shared, modified, distributed and used in educational, commercial and non-commercial purposes under a Creative Commons Attribution 4.0 International License. Copyrights of the published research works are retained by authors.