Literature DB >> 33163063

Implementing electronic health system in Nigeria: perspective assessment in a specialist hospital.

Igbo Gabriel Alobo1, Tolulope Soyannwo2, Godwin Ukponwan3, Simon Akogu4, Abubakar Matthew Akpa4, Kazeem Ayankola5.   

Abstract

BACKGROUND: Perspectives on the pioneering work of Electronic Health Recording (EHR) system in Nigeria was studied.
OBJECTIVES: To determine health workers perception, challenges, motivation and satisfaction with EHR.
METHODOLOGY: This was a descriptive cross sectional study using structured questionnaire to assess health workers perspective on EHR system at Kogi State Specialist Hospital.
RESULTS: A total of 35 consenting health workers with an mean age of 39.4(± 7.6) years using EHR were assessed. The mean daily work hour was 8.0(± 2.4 hours) and median client load per participant was 20 daily. On perceptions, 74.3%, 52.9%, 45.5% and 60.0% were comfortable, well-motivated, satisfied and competent with EHR. The advantages were reduction in transcription cost (88.5%), Paper work (97.1%), administrative cost (91.4%), errors (82.9%) and it captures, provides more services including timely access and ease research in 94.3%, 74.3%, 94.3% and 82.9% respectively. Challenges were threat to patient privacy, poor internet, information overload, power outages, incomplete and inaccurate information in 17.0%, 65.7%, 31.5%, 62.9%, 37.1% and 22.9% respectively.
CONCLUSION: Health workers were comfortable and satisfied with EHR and it eased their work.Scaling up EHR would reduce administrative cost, transcription errors and paper works to mitigate poor quality data from Nigeria a great contributor to global morbidities/mortalities.
© 2020 Alobo IG et al.

Entities:  

Keywords:  Electronic health records; Kogi state; Nigeria; perception

Mesh:

Year:  2020        PMID: 33163063      PMCID: PMC7609086          DOI: 10.4314/ahs.v20i2.50

Source DB:  PubMed          Journal:  Afr Health Sci        ISSN: 1680-6905            Impact factor:   0.927


Introduction

One of the World Health Organizations six building blocks of effective health strengthening is the health information system. Data availability, quality and use are often a problem in Nigeria where the District Health Information Software 2 (DHIS2) is the major source. Challenges highlighted by some studies in Nigeria on data quality include poor data quality, incomplete data, inconsistencies in data reporting and untimely data submission.[2,3,4] One of the factors propelling this problem is the reliance on manual method of inputting data. Concerning this, the need for a functional well led automated health data management has been advocated to strengthen the health system.[5] Meeting this is often a challenge due to low manpower, infrastructures, inadequate financing mechanism, inadequate political will and poor knowledge of computers and information technology for health recording. In facilities where EHR was embraced, there was only partial deployment.[6] Ross et al in a review of forty-four studies from North America and Europe identified barriers to implementation of EHR as adaptability, complexity, cost, external policy and incentives. Others were personal attributes such as knowledge, beliefs, computer skills, abilities and experience. Strategic planning, engagement of champions monitoring and evaluation were considered important success factors.[7] Ajami et al in another systematic review of 32 studies found that the important factor limiting implementation was health workers resistance to change.[8] Kanan et al found that collecting a pool of data electronically has an advantage over paperwork in the retrieval of data for the management of chronic disease conditions.[9] Electronic Health Record (EHR) can be described as the use of health information technology (HIT), including patient health information and data, clinical decision support, results management and central data repositories, and order entry management technologies such as computerized physician order entry (CPOE), to support the organization and delivery of care. It assists with longitudinal collection of electronic health information about individual patients and population.[10] It has been recognized as a system that has a wide range of benefits such as judicious use of physician time, improve patient safety, improve health outcomes and increase efficiency. It has produced multiple opportunities for health research, driven by huge data base including genome sequencing, and medical images that could be exchanged electronically.[11] Although, EHR was not found to increase overall patient outcome and quality of care, when fully deployed, it was associated with a reduction of in-patient mortality, readmission and patient safety.[12] Kogi State Specialist Hospital is one of the few health centers in Nigeria operating an integrated electronic health record system. The system operates such that ongoing consultations can be accessed by other sectors of the hospital real-time. This may just be the beginning of the electronic switch over in Nigeria healthcare. Kogi State Ministry of Health (SMOH) which regulates health practice in the state has an objective of strengthening the Health Management Information System (HMIS). The incepton of the electronic medical recording system is aimed at realizing this objective. Each month, the ministry in collaboration with international partners spends huge amount for data collation, validation and reporting including support for the uploading into the DHIS2 which is mostly done manually. Despite the huge investments, the data reporting rate for the state remain a paltry 45% to 60%. This data provides a basis for the state to seek assistance for a well developed electronic platform to help them achieve high data reporting rate. Built on solid evidence, the global direction is currently electronic health record and the return on investment appears high. As the current system of data management using papers is not working in the country, the need for innovation becomes imperative. Hence, this study aims to seek health workers perception of electronic health record to guide policies on scaling up.

Methodology

Study site

The study was conducted in Kogi State Specialist Hospital in Lokoja the capital city of Kogi State, North central Nigeria. The hospital runs 24 hour service with a client flow of over 300 daily. It was established in 2007. The deployment of CarePlus EMR at the center was successfully carried out with huge support from the staff and officers of the center and commenced electronic health recording in 2013. The features of the Electronic registration of patients include, National Health Insurance Scheme (NHIS) management, Cashless payment integration, Easy integration with Short Message Service (SMS) servers for messaging, Electronic Identification for patients, Bed assignment, Electronic prescription, Laboratory management for orders, reporting and consumables, Electronic X-RAY, Purchase Order, Easy and quick retrieval of patient records, Diagnosis based on World Health Organization (WHO) International Classification of Disease (ICD) 10 standard, Drug inventory control, Integrated reporting Intelligence System and HL7 Support via Mirth Connect which puts the hospital at HIMSS stage 5. The hospital has specialized care in pediatrics, radiology, pathology, dentistry, surgery, internal medicine, obstetrics and gynecology amongst others.

Study population

Hospital management staffs, doctors, nurses, laboratory technologist, pharmacist and Health Management Information System (HMIS) officers were recruited for the study.

Sampling technique

Purposive sampling technique was employed to select the respondents. Consenting respondents were considered eligible for the study

Study design

This study was a descriptive cross sectional study.

Sample size

Thirty- five respondents trained on EHR consented and were sampled for the study

Data collection methods

Data was collected using a structured questionnaire. The instrument contained section 1 which assessed the socio-demographic characteristics. Section 2 assessed the perspective of health workers EHR. Likert scale was used in assessing health workers perspective on electronic health record. Likert scale comprises of not at all “0”, fair graded “1” and good graded “2”. Section 3 of the instrument assed the benefits of EHR while section 4 assessed the challenges of EHR. Ethical approval was sought from the Ethical committee of the hospital.

Results

A total of 35 health workers who were trained and are using EHR and gave consent were recruited into the study. Most 19(56%) of the participants were in the age bracket 20–39years and mean age was 39.4 (7.6 ±years). Majority of the respondents 25(71.4%) were Christians. A higher percentage of the respondents 10(31.4%) were Ebira by tribe and most of the respondents 12(34.3%) interviewed were doctors. A larger percentage 30(85.7%) of the respondents were married. The mean years post qualification was 11.7(±5.0 years), mean years of working in the hospital was 7.1(± 3.5years), median years of working in the department was 6 years, mean daily working hours was 8.0(± 2.4 hours) and median client load per person was 20. See Table 1 below (socio-demographic characteristics) (Accountant, ICT officers) (Nupe, Bassa,) Table 2 shows the perception towards EHR. Concerning it, 74.3%, 52.9%, 45.5% and 60.0% of respondents were comfortable, well-motivated, satisfied and competent with EHR
Table 2:

Perception of health workers on electronic health record (EHR)

Variable(N= 35)Not at all (%)Fair (%)Good (%)
Comfortable with computers09(25.7)26(74.3)
Experience with computers N=34014(41.2)20(58.8)
Motivation with computers N=342(5.9)15(44.1)18(52.9)
Satisfaction with computers N=332(6.0)16(48.5)15(45.5)
Absence of coding problems12(34.3)21(60.0)2(5.7)
Competence with EHR2(5.7)12(34.3)21(60.0)
Perception of health workers on electronic health record (EHR) The advantages were reduction in transcription cost (88.5%), reduced paper work (97.1%), administrative cost (91.4%), errors (82.9%) and it captures, provides more services including timely access and ease research in 94.3%, 74.3%, 94.3% and 82.9% respectively. Benefits of HER Challenges encountered were threat to patient privacy, poor internet, information overload, power outages, incomplete and inaccurate information in 17.0%, 65.7%, 31.4%, 62.9%, 37.1% and 22.9% respectively. Challenges of HER Data source: Kogi State Specialist Hospital, Lokoja, Kogi State

Discussion

Strengthening the health system requires actionable data. Availability of reliable and reproducible data is often a challenge in Nigeria where the use of data for decision making and clinical governance is at its infancy.While this is a challenge with many agencies, the ability to operate a hospital data electronically for 5 years shows that the prospect for this system is high. The volume of health record is huge and it will continue to increase. Storing and retrieving this data is often a challenge. For the health system to keep up with the ever increasing health records and provide real time health care, some innovations may be required. The manpower need to manage paper work is huge and can be a challenge in emergency settings. The Health system in this study like others runs on roasters involving shifts, calls, and days only and night only activities. Lives can be endangered when the connection between the different units, segments and experiences of the managers of health system cannot be connected and automated. Searching for vital information such as laboratory results and previous reactions that can be automated is often a challenge. This hospital has met this challenge with the deployment of this system. Many studies supported satisfaction of physician with EHR. In this study, there was good motivation and satisfaction with EHR with other advantages reported such as reduction in transcription cost, reduced paper work, reduced administrative cost, timely access to data and ease of research. Positive effect of EHR on research work as seen by Coorevits et al was also supported in this study as respondent gave a positive effect of EHR on ease of research.[10,13] Challenges of EHR mentioned in this study include threat to patient privacy, poor internet, information overload, power outages, incomplete and inaccurate information. Findings from our study is in consonance with studies done by Ajami and Arab-Chadegani and Ross et al which also reported internet services and power outages as some of the problems encountered. These would require more investment and backups.[7,8] On the other hand, EHR falls short of being accepted by all cadres of the medical profession as many of them are presented as a template. One of this is the charting of patients information by nurses and the inability to describe peculiar clinical findings on readymade templates.[14] Patient also finds physician's attention and engrossment with computers and electronics during consultations distracting. They were more satisfied when there was eye contact.[15]

Conclusions and recommendations

Deployment and use of EHR system is the first step on the journey to providing an enhanced health care systems and it has shown to make health systems more efficient and more responsive to providers, patients and health administrators' needs. This study demonstrated satisfaction with EHR amidst challenges encountered with EHR. Considerations must be given to scaling up EHR to all health facilities in the state and the country at large. Investment in resolving power outages and poor internet connectivity should also be considered.

See Table 1 below (socio-demographic characteristics)

Variable( N=35)Frequency (%)
Age (yrs) (N = 34)
20–3919 ( 56.0)
40–5915 ( 44.0)
Marital status
Single  5(14.3)
Married30(85.7)
Cadre
Doctors12(34.3)
Nurse  8(22.9)
Physiotherapist    1(2.9)
Pharmacist    2(5.7)
Lab Scientist    1(2.9)
Others*11(31.4)
Ethnic group
Yoruba  8(22.9)
Igala10(28.6)
Ebira11(31.4)
Igbo    2(5.7)
Others**  4(11.4)
Religion
Christians25(71.4)
Muslims10(28.6)

(Accountant, ICT officers)

(Nupe, Bassa,)

Table 3:

Benefits of HER

Variable (N=35)Yes (%)No (%)I don't know (%)
Transcription cost31(88.5)1(2.9)3(8.6)
Paper34(97.1)1(2.9)-
Administration32(91.4)3(8.6)-
More service26(74.3)9(25.7)-
Capture all service33(94.3)2(5.7)-
Timely access33(94.3)2(5.7)-
Research29(82.9)4(11.4)2(5.7)
Prone to errors29(82.9)4(11.4)2(5.7)
Increase productivity29(82.9)4(11.4)2(5.7)
Table 4:

Challenges of HER

Variable (N=35)Yes (%)No (%)I don't know (%)
Privacy breached6((17.1)29(82.9)-
Internet issues23(65.7)12(34.3)-
Work overload11(31.4)21(60.0)3(8.6)
Incomplete patient information13(37.1)19(54.3)3(8.6)
Inaccurate patient information8(22.9)26(74.3)1(2.8)
Power outage22(62.9)11(31.4)2(5.7)

Data source: Kogi State Specialist Hospital, Lokoja, Kogi State

  13 in total

1.  Use and satisfaction with electronic health record by primary care physicians in a health district in Brazil.

Authors:  Alexandre Alcantara Holanda; Henrique Luis do Carmo E Sá; Anya Pimentel Gomes Fernandes Vieira; Ana Maria Fontenelle Catrib
Journal:  J Med Syst       Date:  2011-11-10       Impact factor: 4.460

2.  Electronic Health Records.

Authors:  Karen Frazier
Journal:  Am J Nurs       Date:  2017-06       Impact factor: 2.220

3.  EHR use and patient satisfaction: What we learned.

Authors:  Neil J Farber; Lin Liu; Yunan Chen; Alan Calvitti; Richard L Street; Danielle Zuest; Kristin Bell; Mark Gabuzda; Barbara Gray; Shazia Ashfaq; Zia Agha
Journal:  J Fam Pract       Date:  2015-11       Impact factor: 0.493

4.  Rapid Development of Specialty Population Registries and Quality Measures from Electronic Health Record Data*. An Agile Framework.

Authors:  Vaishnavi Kannan; Jason S Fish; Jacqueline M Mutz; Angela R Carrington; Ki Lai; Lisa S Davis; Josh E Youngblood; Mark R Rauschuber; Kathryn A Flores; Evan J Sara; Deepa G Bhat; DuWayne L Willett
Journal:  Methods Inf Med       Date:  2017-06-14       Impact factor: 2.176

5.  Access to electronic health records by care setting and provider type: perceptions of cancer care providers in Ontario, Canada.

Authors:  Margo C Orchard; Mark J Dobrow; Lawrence Paszat; Hedy Jiang; Patrick Brown
Journal:  BMC Med Inform Decis Mak       Date:  2009-08-10       Impact factor: 2.796

6.  Use of Electronic Health Records in sub-Saharan Africa: Progress and challenges.

Authors:  Maxwell O Akanbi; Amaka N Ocheke; Patricia A Agaba; Comfort A Daniyam; Emmanuel I Agaba; Edith N Okeke; Christiana O Ukoli
Journal:  J Med Trop       Date:  2012

Review 7.  Electronic health records: new opportunities for clinical research.

Authors:  P Coorevits; M Sundgren; G O Klein; A Bahr; B Claerhout; C Daniel; M Dugas; D Dupont; A Schmidt; P Singleton; G De Moor; D Kalra
Journal:  J Intern Med       Date:  2013-10-18       Impact factor: 8.989

8.  Electronic Health Records and Quality of Care: An Observational Study Modeling Impact on Mortality, Readmissions, and Complications.

Authors:  Swati Yanamadala; Doug Morrison; Catherine Curtin; Kathryn McDonald; Tina Hernandez-Boussard
Journal:  Medicine (Baltimore)       Date:  2016-05       Impact factor: 1.889

Review 9.  Factors that influence the implementation of e-health: a systematic review of systematic reviews (an update).

Authors:  Jamie Ross; Fiona Stevenson; Rosa Lau; Elizabeth Murray
Journal:  Implement Sci       Date:  2016-10-26       Impact factor: 7.327

Review 10.  Barriers to implement Electronic Health Records (EHRs).

Authors:  Sima Ajami; Razieh Arab-Chadegani
Journal:  Mater Sociomed       Date:  2013
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  1 in total

1.  Perceptions on Data Quality, Use, and Management Following the Adoption of Tablet-Based Electronic Health Records: Results from a Pre-Post Survey with District Health Officers in Ghana.

Authors:  Seohyun Lee; Young-Ji Lee; SeYeon Kim; Wonil Choi; Yoojin Jeong; Nina Jinjoo Rhim; Ilwon Seo; Sun-Young Kim
Journal:  J Multidiscip Healthc       Date:  2022-07-12
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