Evidence map›Paper›PMID 36479191›Full record

ArticleFrontiers in digital health2022

Adoption of electronic medical records in developing countries-A multi-state study of the Nigerian healthcare system.

Christie Divine Akwaowo, Humphrey Muki Sabi, Nnette Ekpenyong, Chimaobi M Isiguzo, Nene Francis Andem, Omosivie Maduka, Emem Dan, Edidiong Umoh, Victory Ekpin, Faith-Michael Uzoka

Abstract read
In one paragraph

Article in Frontiers in digital health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Christie Divine AkwaowoCommunity Medicine Department, University of Uyo, Uyo, Nigeria.
Humphrey Muki SabiICT Department, The ICT University, Yaounde, Cameroon.
Nnette EkpenyongCommunity Health Department, University of Calabar, Calabar, Nigeria.
Chimaobi M IsiguzoDepartment of Surgery, Federal Medical Centre, Owerri, Nigeria.
Nene Francis AndemHopsital's Management Board, Akwa Ibom State Ministry of Health, Uyo, Nigeria.
Omosivie MadukaDepartment of Preventive and Social Medicine, University of Port Harcourt Teaching Hospital, Port Harcourt, Nigeria.
Emem DanHealth Systems Research Hub, University of Uyo Teaching Hospital, Uyo, Nigeria.
Edidiong UmohHealth Systems Research Hub, University of Uyo Teaching Hospital, Uyo, Nigeria.
Victory EkpinHealth Systems Research Hub, University of Uyo Teaching Hospital, Uyo, Nigeria.
Faith-Michael UzokaDepartment of Mathematics and Computing, Mount Royal University, Calgary, Alberta, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electronic medical records (EMR) are extensively used in developed countries to manage patient records and facilitate consultations and follow-up of treatment. This has resulted in centralised databases where different services and clinicians can quickly access patient data to support healthcare delivery. However, adoption and usage of EMR in developing countries is not common and, in most cases, non-existent. Clinicians are dependent on patients keeping their own records manually with no centralised database to manage and control the patient medical history. The key objective of this study was to investigate the propensity of clinicians and senior management personnel in healthcare facilities to adopt EMR and evaluate the contextual factors that impact or impede adoption. Using Davis's technology adoption model extended with other factors, this study determined if contextual or situational factors are associated with barriers that impede adoption of EMRs in developing countries. Using a cross-sectional quantitative research approach, a questionnaire was designed to collect data across four states in the Niger Delta region of Nigeria. Stratified random sampling was used to select healthcare facilities that participated in the survey and selection of respondents from each healthcare facility. Data was collected by trained research assistants and a total of 1,177 valid responses were received and analysed using factor analysis and multiple regression analysis. The results from the analysis show that usefulness, critical success factors, awareness and relative advantage significantly influence clinicians' intention to adopt EMRs. Surprisingly, infrastructure availability was not statistically significant. Meanwhile, risk and data security both negatively influence adoption, indicating that user perception of risk and safety of their data decreases their propensity to adopt EMRs. The results from this study suggests that usefulness and anticipated success factors in facilitating operations within healthcare facilities have a great influence on user adoption of EMRs. Awareness, training and education of users on the effectiveness of EMRs and their usefulness will increase adoption. The results will be beneficial in helping government and healthcare leaders formulate policies that will guide and support adoption of EMR. Other policy recommendations and suggestions for future research were also proffered.

Indexed as

adoption of eHealthdeveloping countriesdigital healthelectronic medical recordsmedical informaticsNigeria

Identifiers

PMID36479191
PMCPMC9720323

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.