Evidence map›Paper›PMID 42147168›Full record

ArticleResearch square2026

Evolution of resources and study of factors associated with the quality of care for epidemic-prone diseases in Guinea.

Dimai 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 readPreprint
In one paragraph

Article in Research square, 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.

Dimai Ouo KpamyFaculty of Health Sciences and Technology, Gamal Abdel Nasser University, Conakry, Guinea.ORCID 0000-0003-0535-4572
Fatoumata CherifNational Agency for Health Security, Conakry, Guinea.
Sory CondeNational 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 of Conakry.
Bassirou DiarraUniversity of Sciences, Techniques and Technologies of Bamako (USTTB).
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 of Conakry.
Sakoba KeitaAgence Nationale de Sécurité Sanitaire de Guinée.
Seydou DoumbiaUniversity of Sciences, Techniques and Technologies of Bamako (USTTB).
Alexandre DelamouFaculty of Health Sciences and Technology, Gamal Abdel Nasser University of Conakry.

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 and to identify the factors associated with the quality of care for epidemic-prone diseases in Guinea. Method: A descriptive cross-sectional study focused on the management systems for epidemic-prone diseases in Guinea. Data were collected using structured questionnaires. The analysis of factors associated with the quality of care was conducted using logistic regression. Results: The evolution of management systems varied across regions. Overall, at the national level, before the Ebola outbreak, the evolution of management systems was low, with an overall score of 12%. During the Ebola virus crisis, the evolution of the systems was average, reaching 73%, and after the outbreak, it remained average at 77%. The quality of care was predominantly rated as good, accounting for 62.5%. The main factors associated with better quality of care included the presence of a patient diagnostic mechanism (aOR = 8; 95% CI [2.02-19.45]; p = 0.000), the availability of treatment protocols (aOR = 9.44; 95% CI [1.02-12.02]; p = 0.000), the presence of isolation sites (aOR = 4.23; 95% CI [1.61-9.66]; p = 0.000), the coordination of care (aOR = 8.5; 95% CI [1.22-12.00]; p = 0.002), and the availability of care teams (aOR = 8.5; 95% CI [1.22-12.00]; p = 0.001). Conclusion: This study highlights significant progress in resources for the management of epidemic-prone diseases in Guinea during and after the Ebola crisis. Key factors such as diagnostic tools, treatment protocols, the availability of isolation sites, care coordination, and the presence of care teams were essential for success. The overall improvement reflects strengthened capacity and preparedness in Guinea, although challenges remain, particularly in terms of financial resources.

Indexed as

associated factorsepidemic-prone diseasesGuineamanagementqualityResources

Identifiers

PMID42147168
PMCPMC13174785

What OpenQuestion holds

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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.