The Knowledge, Perception and Utilisation of E-Health among Health Workers in Benin City, Nigeria
Main Article Content
Keywords
Electronic Health, ICT, Health Care Workers, Benin City
Abstract
Background: The aim of this study was to determine the perspective and utilization of e-Health services among healthcare workers in primary, secondary and tertiary healthcare centres in Benin city.
Methodology: This was a descriptive cross-sectional study conducted among healthcare workers in Benin City, where the minimum sample size required for the study was calculated using the Cochrane formula (n= zpq2 /d2). Data was collected using an online semi-structured questionnaire, and data analysis was carried out using IBM SPSS version 22 software with p < 0.05 considered statistically significant.
Results: A total of 340 respondents participated in this study where the mean age was 31.5 ± 7.1 years and the majority of the respondents, 327 (96.2%), had good knowledge of eHealth, whereas about two third 216 (63.5%) of the respondents had ever used eHealth services. The majority 308 (90.6%) of the healthcare workers highlighted the non-availability of ICT facilities as a challenge to the implementation and utilization of eHealth services. Proposed solutions to the above challenges include government support/funding 206 (60.6%) and ICT education 186 (54.7%)
Conclusion: The lack of ICT facilities was stated as the main challenge to the implementation and utilization of eHealth services, although a majority of the respondents had good knowledge of eHealth. Proposed solutions to the challenge include government support/funding, free ICT education for health workers and Public Private Partnerships to support eHealth systems in health facilities.
References
government and private hospitals in Northern Uganda: a cross-sectional study. BMC Med Inform Decis Mak. 2015;
15:1-9
2. Eysenbach G. What is e-health? J Med Internet Res. 2001;3:e20.
3. Rianne MJJ, van der Kleij, Kasteleyn MJ, Meijer E, Bonten TN, et.al. eHealth in primary care. Part 1: Concepts,
conditions, and challenges. European Journal of General Practice. 2019; 25:179-189.
4. Wernhart A, Gahbauer S, Haluza D. eHealth and telemedicine: Practices and beliefs among healthcare professionals
and medical students at a medical university. PLoS One. 2019;14: e0213067.
5. Muigg D, Kastner P, Duftschmid G, Modre-Osprian R, Haluza D. Readiness to use telemonitoring in diabetes care: a
cross-sectional study among Austrian practitioners. BMC Med Inform Decis Mak. 2019; 19:26. doi:10.1186/s12911-
019-0746-7.
6. Aleke C., Omaka-Amari L., Nwafor J., Omeje C., Onyech N., Ochiaka RE., et.al. Knowledge and Utilization of EHealth Care Delivery among Health Care Professionals in Federal Teaching Hospital Abakaliki, Ebonyi State,
Nigeria. International Journal of Medical and Health Sciences Research. 2020; 7:19-30.
7. Abolade TO, Durosinmi AE. The Benefits and Challenges of E-Health Applications in Developing Nations: A
Review. Proceedings of the 14th iSTEAMS International Multidisciplinary Conference, AlHikmah University, Ilorin,
Nigeria. 2018; 14:37-44
8. Ross, J., Stevenson, F., Lau, R., Murray E. Factors that influence the implementation of e-health: a systematic review
of systematic reviews (an update). Implementation Sci. 2016; 11:1-10
9. Benavides-Vaello S, Strode A, Sheeran BC. Using technology in the delivery of mental health and substance abuse
treatment in rural communities: a review. J Behav Health Serv Res 2013; 40:111-120.
10. Saliba V, Legido-Quigley H, Hallik R, Aaviksoo A, Car J, McKee M. Telemedicine across borders: a systematic
review of factors that hinder or support implementation. Int J Med Inform. 2012; 81:793–809.
11. Goldstein DH, Phelan R, Wilson R, Ross-White A, VanDenKerkhof EG, Penning JP, et al. Brief review: adoption of
electronic medical records to enhance acute pain management. Can J Anesth. 2014; 61:1-16.
12. Gagnon M-P, Nsangou E-R, Payne-Gagnon J, Grenier S, Sicotte C. Barriers, and facilitators to implementing
electronic prescription: a systematic review of user groups' perceptions. J Am Med Inform Assoc 2014 ; 21: 535–541.
13. Gagnon MP, Desmartis M, Labrecque M, Car J, Pagliari C, Pluye P, et al. Systematic review of factors influencing
the adoption of information and communication technologies by healthcare professionals. J Med Syst 2012; 36:241–
77.
14. Kilsdonk E, Peute LW, Knijnenburg SL, Jaspers MW. Factors known to influence acceptance of clinical decision
support systems. Stud Health Technol Inform. 2011; 169:150–154.
15. Lau F, Price M, Boyd J, Partridge C, Bell H, Raworth R. Impact of electronic medical record on physician practice in
office settings: a systematic review. BMC Med Inform Decis Mak. 2012; 12:10.
16. Archer N, Fevrier-Thomas U, Lokker C, McKibbon KA, Straus SE. Personal health records: a scoping review. J Am
Med Inform Assoc. 2011; 18:515-522.
17. National Population Commission. Population Distribution by Sex, State, LGA & Senatorial District. Federal Republic
of Nigeria 2006 population and housing census, priority table volume III, 2010; 3:60
19. Ogbonna C. The Basics in Biostatistics, Medical Informatics and Research Methodology. 2nd ed. Jos: Yakson
printing press; 2016. 260-261.
20. Isabalija SR, Mayoka KG, Rwashana AS, Mbarika VW. Factors Affecting Adoption, Implementation and
Sustainability of Telemedicine Information Systems in Uganda. Journal of Health Informatics in Developing
Countries. 2011; 5:299-315
21. Al-Khatlan H, Alazmi S, Almutairi B. Knowledge, Attitude and Practice of E-health among Health Care Providers in
Kuwait. Greener Journal of Medical Sciences. 2017; 5:1–14.
22. Mu'awiyyah BS, Hussein AT, Abdulazeez AO, Istifanus AJ. Knowledge, Attitude and Perception of Healthcare
Workers on use of Electronic Medical Records in Ahmadu Bello University Teaching Hospital, Zaria, Kaduna State
Northwest Nigeria. Journal of Medical and Basic Scientific Research. 2021; 2 :1-12.
23. World Data Atlas. Nigeria - Adult female illiterate population. 2015. Available at:
https://knoema.com/atlas/Nigeria/topics/Education/Literacy/Adult-female-illiteracy
24. Oluoch T, Santas X, Kwaro D, Were M, Biondich P, Bailey C, et al. The effect of electronic medical record-based
clinical decision support on HIV care in resource-constrained settings: a systematic review. Int J Med Inform. 2012;
81: e83–92.
25. McGinn CA, Grenier S, Duplantie J, Shaw N, Sicotte C, Mathieu L, et al. Comparison of user groups' perspectives of
barriers and facilitators to implementing electronic health records: a systematic review. BMC Med 2011; 9:1-10
26. Biruk K, Abetu E. Knowledge, and Attitude of Health Professionals toward Telemedicine in Resource-Limited
Settings: A Cross-Sectional Study in Northwest Ethiopia. Journal of Healthcare Engineering 2018; 1:1-7.
27. Sukums F, Mensah N, Mpembeni R, Kaltschmidt J, Haefeli WE, Blank A. Health workers' knowledge of and
attitudes towards computer applications in rural African health facilities. Glob Health Action. 2014; 7:24534.
28. Owolabi BS, Odugbemi TO, Odeyemi KO, Onigbogi OO. mHealth: Knowledge and use among doctors and nurses in
public secondary health-care facilities of Lagos, Nigeria. Journal of Clinical Sciences. 2018;15: 27-31.
29. Furusa SS, Coleman A. Factors influencing e-health implementation by medical doctors in public hospitals in
Zimbabwe. South African Journal of Information Management. 2018; 20:1-9.
30. Mohammad EH, Mohammad AA, Farzana R, Aminul I. The challenges of eHealth implementation in developing
countries: A literature review. Journal of Dental and Medical Sciences. 2019; 18:41-57.
31. Famuyiwa SA, Oyeyinka OS. Factors Influencing Utilization Of (E-Health) In Health Care Delivery Among Health
Workers Of University College Hospital, Iofdan. African International Journal of Educational Learning. 2018; 7:1-
16.
