Evidence map›Paper›PMID 41074049›Full record

ArticleBMC medical informatics and decision making2025

Factors influencing the availability and use of electronic medical records systems in public health facilities in Uganda: a cross-sectional assessment.

Anthony Ddamba, Benard Nsubuga, Moses Kamabare, Ernest Abaho, Kassim Alinda, David Arinaitwe, Phillip Ampaire, Harriet Akello

Abstract read
In one paragraph

Article in BMC medical informatics and decision making, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
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  5. Article
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

8 authors.

Anthony DdambaNational Medical Stores, Entebbe, Uganda.
Benard NsubugaNational Medical Stores, Entebbe, Uganda. bnsubuga22@gmail.com.
Moses KamabareNational Medical Stores, Entebbe, Uganda.
Ernest AbahoMakerere University Business School, Kampala, Uganda.
Kassim AlindaMakerere University Business School, Kampala, Uganda.
David ArinaitweNational Medical Stores, Entebbe, Uganda.
Phillip AmpaireNational Medical Stores, Entebbe, Uganda.
Harriet AkelloMinistry of Health, Department of Pharmaceuticals and Natural Medicines, Kampala, Uganda.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe advancement of information and communication technology (ICT) has significantly accelerated the adoption and utilisation of Electronic Medical Record (EMR) systems in both developed and developing countries. This study aimed to examine a comprehensive understanding of the current EMR systems landscape in Uganda, examining the integration of ICT into healthcare delivery and the associated factors.

methodsA cross-sectional study design was utilised to conduct this study across 265 government-owned health facilities. Quantitative data were collected through semi-structured questionnaires, while qualitative insights were obtained via face-to-face interviews. Associations between categorical variables were assessed using linear-by-linear association and Cochrane-Armitage chi-square tests. Analysis of Variance was used for comparison of group mean differences while Tukey's HSD and Scheffe's test were used for post-hoc comparisons. Poisson regression analysis was applied to determine the factors influencing the availability and utilisation of EMR systems in health facilities.

resultsOn average, each health facility utilised 4.81 EMR systems (SD = 1.41). Statistically significant differences in the average number of EMR systems were observed across different levels of care (P-value = 0.0108). However, interoperability between EMR systems was reported in only 10% (26/265) of facilities. Regional referral hospitals were 36% more likely to have a higher number of EMR systems compared to health centre IVs (P-value = 0.0001), while general hospitals were 12% more likely (P-value = 0.041). Facilities employing a hybrid medical records system were 1.2 times more likely to utilise EMR systems compared to those using exclusively electronic systems (P-value = 0.027). Additionally, facilities with a higher number of medical departments demonstrated a significantly positive association with EMR system usage (P-value = 0.020).

conclusionsThe study identified a diverse array of EMR systems across public health facilities, many of which exhibit technical disparities and are designed to serve narrowly defined institutional interests. Critically, the absence of a unified national framework or standard guidelines governing EMR adoption and interoperability continues to hinder the seamless exchange of clinical and patient data. To advance digital health integration, it is imperative to expedite the implementation of national interoperability frameworks alongside the operationalisation of a centralised health data warehouse.

Indexed as

Electronic Health RecordsHealth FacilitiesCross-Sectional StudiesHumansUgandaElectronic medical recordsEMR systems adoptionHealth facilitiesInteroperabilityTechnology-Organisational-EnvironmentUganda

Identifiers

PMID41074049
PMCPMC12512544

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.