Cited by 5Electronic Health Records SystemsMedical Coding and Health InformationNursing Diagnosis and Documentation

Impact of electronic medical records on healthcare delivery in Nigeria: A review

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Abstract

Electronic medical records (EMRs) have great potential to improve healthcare processes and outcomes. They are increasingly available in Nigeria, as in many developing countries. The impact of their introduction has not been well studied. We sought to synthesize the evidence from primary studies of the effect of EMRs on data quality, patient-relevant outcomes and patient satisfaction. We identified and examined five original research articles published up to May 2023 in the following medical literature databases: PUBMED/Medline, EMBASE, Web of Science, African Journals Online and Google Scholar. Four studies examined the influence of the introduction of or improvements in the EMR on data collection and documentation. The pooled percentage difference in data quality after introducing or improving the EMR was 142% (95% CI: 82% to 203%, p- value < 0.001). There was limited heterogeneity in the estimates (I 2 = 0%, p- heterogeneity = 0.93) and no evidence suggestive of publication bias. The 5 th study assessed patient satisfaction with pharmacy services following the introduction of the EMR but neither had a comparison group nor assessed patient satisfaction before EMR was introduced. We conclude that the introduction of EMR in Nigerian healthcare facilities meaningfully increased the quality of the data.

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  • Interoperability of digital records among Nigerian institutions is extremely low, with estimates showing 12-15% of facilities can exchange patient data seamlessly.

    “Interoperability of digital records among institutions is also extremely low with estimates showing that between 12-15% of facilities can exchange patient data seamlessly [5, 15, 18, 19].”

    From Cloud-based Electronic Health Records (EHR) Adoption Rate in Nigeria: Barriers and Performance Bottlenecks (2026) · cites this paper as [19]

    The Discussion describes technical challenges to EMR adoption in sub-Saharan Africa, and the Results describe a data-exchange system implemented at 30 Nigerian treatment facilities. Neither passage estimates how many Nigerian facilities can exchange patient data seamlessly. Searches for the 12–15% figure and for interoperability between facilities found no supporting passage in our copy. (LLM, conf=0.72)

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Research works printed but not linked: 49

  1. CD Akwaowo, 2022, Adoption of electronic medical records in developing countries—A multi-state study of the Nigerian healthcare system., Front Digit Health, 4, 239, 10.3389/fdgth.2022.1017231 · DOI
  2. World Health Organization, 2016, Global diffusion of eHealth: making universal health coverage achievable: report of the third global survey on eHealth
  3. MO Akanbi, 2012, Use of Electronic Health Records in sub-Saharan Africa: Progress and challenges, J Med Trop, 14, 1
  4. O Boyinbode, 2015, CloudeMR: a cloud based electronic medical record system., Int J Hybrid Inf Technol, 8, 201
  5. A Funmilola, 2015, Development of an electronic medical record (EMR) system for a typical Nigerian hospital., Development, 2
  6. T Adedeji, 2022, Implementing Electronic Health Records in Primary Care Using the Theory of Change: Nigerian Case Study., JMIR medical informatics. JMIR Med Inform, 11, e33491, 10.2196/33491 · DOI
  7. BI Awokola, 2012, Practical challenges of setting up an electronic medical record system in a Nigerian tertiary hospital: The Wesley Guild Hospital experience., Middle East J Fam Med, 10, 37
  8. B Chaplin, 2015, Scale-up of networked HIV treatment in Nigeria: creation of an integrated electronic medical records system, Int J Med Inf, 84, 58, 10.1016/j.ijmedinf.2014.09.006 · DOI · Paper page
  9. O. Ogundipe, 2011, Electronic Medical Record Keeping: Eleven Years Experience at Life Support Eye Clinic, Lagos, Nigeria, Niger J Ophthalmol, 19, 12, 10.4314/njo.v19i1.70771 · DOI
  10. O Sawyer-George, 2023, Adoption of Electronic Medical Records in Tertiary Health-Care Centers: A Survey of Federal Medical Centers in South-South Nigeria., Asian J Inf Sci Technol AJIST., 13
  11. OS Ayanlade, 2018, Electronic Medical Record System as a central ICT tool for quality healthcare services: Nigeria as a case study., Afr J Sci Technol Innov Dev., 10, 147, 10.1080/20421338.2017.1412609 · DOI
  12. OO Onigbogi, 2018, Doctors’ Attitude and Willingness to Use Electronic Medical Records at the Lagos University Teaching Hospital, Lagos, Nigeria., Online J Public Health Inform., 10, 10.5210/ojphi.v10i2.8416 · DOI
  13. AM Adegbore, 2021, Factors Influencing Electronic Medical Record Systems Success in Selected Tertiary Healthcare Facilities in South-West, Nigeria., Inf Impact J Inf Knowl Manag., 12, 14
  14. SM Babale, 2021, Knowledge, attitude and perception of healthcare workers on use of electronic medical records in Ahmadu Bello University teaching hospital, Zaria, Kaduna, Kaduna State Northwest Nigeria., J Med Basic Sci Res., 2, 1
  15. TO Afolaranmi, 2020, Knowledge of electronic medical records system among frontline health care workers in Jos University teaching hospital, Plateau State Nigeria., Int J Res Med Sci, 8, 3837, 10.18203/2320-6012.ijrms20204867 · DOI
  16. PO Njoku, 2019, Pattern of non-communicable diseases seen in a tertiary hospital in Keffi, North Central Nigeria., Niger J Cardiol, 16, 60, 10.4103/njc.njc_27_18 · DOI
  17. S Odafe, 2013, Integrating cervical cancer screening with HIV care in a district hospital in Abuja, Nigeria., Niger Med J J Niger Med Assoc., 54, 176, 10.4103/0300-1652.114590 · DOI
  18. AI Akyala, 2020, Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection among health care workers in Nasarawa State, Nigeria: implications for infection prevention and control measures., Pan Afr Med J., 37
  19. A Abayomi, 2021, Morbidity and mortality outcomes of COVID-19 patients with and without hypertension in Lagos, Nigeria: a retrospective cohort study., Glob Health Res Policy., 6, 1
  20. MA Kana, 2020, Child electronic growth monitoring system: an innovative and sustainable approach for establishing the Kaduna infant development (KID) study in Nigeria., Paediatr Perinat Epidemiol., 34, 532, 10.1111/ppe.12641 · DOI
  21. CS Adereti, 2019, Use of Electronic and Paper-based Standardized Nursing Care Plans to Improve Nurses’ Documentation Quality in a Nigerian Teaching Hospital., Int J Nurs Knowl., 30, 219, 10.1111/2047-3095.12232 · DOI
  22. O Olagundoye, 2021, Improving the accuracy of ICD-10 coding of morbidity/mortality data through the introduction of an electronic diagnostic terminology tool at the general hospitals in Lagos, Nigeria. BMJ Open Qual, 10, e000938, 10.1136/bmjoq-2020-000938 · DOI
  23. A Hassan, 2018, Patients’ Satisfaction after Electronic Medical Records Implementation in a Tertiary Hospital in North Central Nigeria., Ann Med Health Sci Res Vol., 8
  24. C Aniekwe, 2023, Assessing the effect of electronic health information exchange on the completeness and validity of data for measuring viral load testing turnaround time in Nigeria., Int J Med Inf, 174, 105059, 10.1016/j.ijmedinf.2023.105059 · DOI
  25. IG Abimbola, 2015, Assessing Value Added in the Use of Electronic Medical Records in Nigeria., Walden University
  26. A Liberati, 2009, The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration., J Clin Epidemiol, 62, e1, 10.1016/j.jclinepi.2009.06.006 · DOI · Paper page
  27. JP Higgins, 2019, Cochrane handbook for systematic reviews of interventions, 10.1002/9781119536604 · DOI · Paper page
  28. S Gopalakrishnan, 2013, Systematic reviews and meta-analysis: understanding the best evidence in primary healthcare., J Fam Med Prim Care, 2, 9, 10.4103/2249-4863.109934 · DOI · Paper page
  29. E Kontopantelis, 2012, Performance of statistical methods for meta-analysis when true study effects are non-normally distributed: a simulation study., Stat Methods Med Res, 21, 409, 10.1177/0962280210392008 · DOI
  30. AI Abioye, 2021, Effect of micronutrient supplements on influenza and other respiratory tract infections among adults: a systematic review and meta-analysis, BMJ Glob Health, 6, 10.1136/bmjgh-2020-003176 · DOI · Paper page
  31. JPT Higgins, 2011, The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials, BMJ, 343, d5928, 10.1136/bmj.d5928 · DOI · Paper page
  32. M Egger, 1997, Bias in meta-analysis detected by a simple, graphical test, BMJ, 315, 629, 10.1136/bmj.315.7109.629 · DOI · Paper page
  33. W Viechtbauer, 2015, Package ‘metafor.’ Compr R Arch Netw Package ‘metafor’
  34. J. Allaire, 2012, RStudio: integrated development environment for R, Boston MA, 770, 165
  35. 2023, Nature Index
  36. M Müller-Staub, 2008, Testing the Q-DIO as an instrument to measure the documented quality of nursing diagnoses, interventions, and outcomes., Int J Nurs Terminol Classif Off J NANDA Int., 19, 20, 10.1111/j.1744-618X.2007.00075.x · DOI
  37. H Becker, 2005, ICPC in the Amsterdam transition project.
  38. MM Pai, 2021, Standard electronic health record (EHR) framework for Indian healthcare system., Health Serv Outcomes Res Methodol, 21, 339, 10.1007/s10742-020-00238-0 · DOI
  39. AH Nordo, 2019, Use of EHRs data for clinical research: historical progress and current applications, Learn Health Syst, 3, e10076, 10.1002/lrh2.10076 · DOI
  40. M. Yi, 2018, Major Issues in Adoption of Electronic Health Records, J Digit Inf Manag., 16, 180
  41. IS Umezurike, 2021, Exploring the Adoption of Electronic Medical Records in Primary Health Care Centres in Calabar Municipality: The Challenges and Prospects of E-Governance., J Good Gov Sustain Dev Afr., 6, 70
  42. RF Gillum, 2013, From papyrus to the electronic tablet: a brief history of the clinical medical record with lessons for the digital age, Am J Med, 126, 853, 10.1016/j.amjmed.2013.03.024 · DOI
  43. B Mesko, 2019, The rise of the empowered physician in the digital health era, J Med Internet Res, 21, e12490, 10.2196/12490 · DOI
  44. J Liu, 2013, Patient satisfaction with electronic medical/health record: a systematic review., Scand J Caring Sci, 27, 785, 10.1111/scs.12015 · DOI
  45. R Wali, 2020, Patient satisfaction with the implementation of electronic medical Records in the Western Region, Saudi Arabia, 2018., BMC Fam Pract, 21, 1, 10.1186/s12875-020-1099-0 · DOI
  46. I Ogunbekun, 1999, Private health care in Nigeria: walking the tightrope., Health Policy Plan, 14, 174, 10.1093/heapol/14.2.174 · DOI
  47. OA Makinde, 2018, Distribution of health facilities in Nigeria: implications and options for universal health coverage., Int J Health Plann Manage, 33, e1179, 10.1002/hpm.2603 · DOI
  48. P Coorevits, 2013, Electronic health records: new opportunities for clinical research, J Intern Med, 274, 547, 10.1111/joim.12119 · DOI
  49. D Kotecha, 2022, CODE-EHR best-practice framework for the use of structured electronic health-care records in clinical research, Lancet Digit Health

Cited by

Sorted by citations

Authors
Olukorode, S. O., Adedeji, O. J., Adetokun, A., & Abioye, A. I.
Affiliations
  • University of Ilorin (NG)
  • University of Maiduguri (NG)
Corresponding author
Adedeji, Oluwakorede Joshua
Venue
PLOS Digital Health
Published
2024-09-13
Volume
3
Issue
9
Pages
e0000420
ISSN
2767-3170 (ISSN-L)
OpenAlex
W4402512422
Cited by
5
References
3
Citations by year
2026: 3 · 2025: 1 · 2024: 1
FWCI
1.53
Type
journal article
Language
en
Open access
Locations
  • PLOS Digital Health (publishedVersion, cc-by)
  • medRxiv (acceptedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
  • Health Sciences › Health Professions › Health Information Management › Medical Coding and Health Information
  • Health Sciences › Nursing › Research and Theory › Nursing Diagnosis and Documentation
Keywords
electronic health records, health care delivery, data quality, patient satisfaction, patient-relevant outcomes, clinical documentation, pharmaceutical care, Nigeria, developing countries

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