Evidence map›Paper›PMID 42729270›Full record

ArticleFrontiers in epidemiology2026

Evolution of health system resources and factors associated with the quality of care for epidemic-prone diseases in Guinea: a national cross-sectional study.

Dimaï Ouo Kpamy, Fatoumata Cherif, Sory Conde, Fodé Amara Traore, Sidikiba Sidibe, Bassirou Diarra, Peter John Winch, Abdoulaye Toure, Sakoba Keita, Seydou Doumbia and 1 more

Abstract read
In one paragraph

Article in Frontiers in epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Dimaï Ouo KpamyFaculty of Health Sciences and Technology, Gamal Abdel Nasser University, Conakry, Guinea.
Fatoumata CherifDepartment of the Ministry of Health and Public Hygiene, National Agency for Health Security, Conakry, Guinea.
Sory CondeDepartment of the Ministry of Health and Public Hygiene, National Agency for Health Security, Conakry, Guinea.
Fodé Amara TraoreFaculty of Health Sciences and Technology, Gamal Abdel Nasser University, Conakry, Guinea.
Sidikiba SidibeFaculty of Health Sciences and Technology, Gamal Abdel Nasser University, Conakry, Guinea.
Bassirou DiarraDepartment of Public Health, University of Sciences, Techniques and Technologies of Bamako (USTTB), Bamako, Mali.
Peter John WinchDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Abdoulaye ToureFaculty of Health Sciences and Technology, Gamal Abdel Nasser University, Conakry, Guinea.
Sakoba KeitaDepartment of the Ministry of Health and Public Hygiene, National Agency for Health Security, Conakry, Guinea.
Seydou DoumbiaDepartment of Public Health, University of Sciences, Techniques and Technologies of Bamako (USTTB), Bamako, Mali.
Alexandre DelamouFaculty of Health Sciences and Technology, Gamal Abdel Nasser University, Conakry, Guinea.

Funding

Mali-Guinea Emerging Infectious Disease Research Training Program (Mali-Guinea EID-RTP)D43TW011818 · FIC · UNIV OF SCIENCES, TECH & TECH OF BAMAKO · PI SEYDOU DOUMBIA · 2022 to 2026
$1.2M
West Africa Center of Excellence for Data Science Research EducationUE5TW012526 · FIC · UNIV OF SCIENCES, TECH & TECH OF BAMAKO · PI DOUMBIA, SEYDOU, SHAFFER, JEFFREY G · 2023 to 2025
$600k
FIC NIH HHS D43 TW011818FIC NIH HHS UE5 TW012526
6 · The paper itself

Abstract

Objective: This study aimed to describe the evolution of resources for the management of epidemic-prone diseases and to identify the factors associated with the quality of care for epidemic-prone diseases in Guinea. Methods: A descriptive and analytical cross-sectional study was conducted to assess the management system for epidemic-prone diseases in Guinea. Data were collected using structured questionnaires and supplemented by a review of official documents to assess the evolution of resources before, during, and after the 2014-2016 Ebola virus disease outbreak. Factors associated with the quality of care were identified using multivariable logistic regression analysis. Results: The evolution of resources varied across the different health regions. At the national level, the overall resource score increased from 12% before the Ebola outbreak to 73% during the outbreak and reached 77% in the post-Ebola period. Overall, the quality of care was rated as good in 60.5% of health facilities. Five factors were independently associated with good-quality care: the presence of a patient diagnostic mechanism (aOR = 3.17; 95% CI: 1.74-5.57; Conclusion: This study highlights a substantial improvement in the resources allocated to the management of epidemic-prone diseases in Guinea following the Ebola virus disease outbreak, reflecting strengthened health system capacity for epidemic preparedness and response. However, sustaining these gains will require continued investment, particularly in health system financing. Strengthening diagnostic capacity, ensuring the availability of standardized treatment protocols, expanding patient isolation facilities, improving coordination mechanisms, and maintaining specialized case management teams should remain strategic priorities to enhance the quality of care and strengthen the resilience of the health system against future epidemics.

Indexed as

associated factorscase managementepidemic-prone diseasesGuineamanagementqualityquality of careresources

Identifiers

PMID42729270
PMCPMC13561985

What Socratic holds

Textmetadata
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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.