Evidence map›Paper›PMID 40297377›Full record

ArticleDigital health

Health management information system utilization and associated factors in public and private health facilities of Mogadishu, Somalia.

Adam Sheikh Said, Dmitry Ivanovich Kicha, Yulia Sh Gushchina, Amenti Teka Geferso, Maye Omar

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Monitoring and evaluation instruments of individual health in community settings: a scoping review.Archives of public health = Archives belges de sante publique · 2026
    Pooled it
  2. Article
  3. Article
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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

5 authors.

Adam Sheikh SaidFaculty of Health Sciences, Horseed International University, Mogadishu, Somalia.ORCID https://orcid.org/0000-0002-7993-4396
Dmitry Ivanovich KichaDepartment of Public Health, Health Care and Hygiene, Peoples' Friendship University of Russia (RUDN University), Russian Federation.
Yulia Sh GushchinaMedical Institute, Department of General and Clinical Pharmacology, Peoples' Friendship University of Russia (RUDN University), Russian Federation.
Amenti Teka GefersoPublic Health, Adama General Hospital and Medical College, Ethiopia.
Maye OmarNuffield Centre for International Health and Development, University of Leeds, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The World Health Organization has identified health information systems as part of the six building blocks of a health system. A health management information system (HMIS) is part of a health information system, and it is critical in evidence-based decision-making when planning, implementing, and evaluating health programs. Objective: The objective of this study is to determine HMIS utilization and associated factors in public and private health facilities of Somalia's Mogadishu in 2022. Methods: A quantitative cross-sectional study was conducted from 08 May 2022 to 11 September 2022 on 411 healthcare workers in public and private healthcare facilities in Mogadishu. After obtaining consent, data were collected using self-administrated and standardized questionnaires. Collected data were then analyzed using SPSS version 26. A logistic regression model was computed to measure the factors associated with HMIS utilization. A Results: The study found that 237 (57.7%) (95% CI: 1.53-1.62) of the 411 respondents had good HMIS utilization practices. Healthcare workers who had not received HMIS training were 60.9% less likely to use HMIS (AOR = 0.391, 95% CI: 0.200-0.764) compared to those who had received HMIS training. Health workers who did not receive regular supportive supervision were 69.5% less likely to use HMIS (AOR = 0.432, 95% CI: 0.218-0.856) than those who did receive regular supportive supervision. Those with the skills needed to use HMIS data for decision-making were 91.1% less likely to use HMIS (AOR = 0.089; 95% CI: 0.042-0.185) compared to their nonskilled counterparts. Conclusion: The result of this study shows that the magnitude of HMIS utilization among health workers in public and private health facilities in Mogadishu is low-237 (57.7%)-compared to its use from similar studies. The study found that skills training on HIS/HMIS and support from managers have a significant correlation with HMIS utilization. Given this, all concerned bodies should work hard to bridge the gaps identified in this study.

Indexed as

Health management information systemshealth workersHMIS utilizationpublic and private health facilities

Identifiers

PMID40297377
PMCPMC12035055

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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.