Evidence map›Paper›PMID 37603541›Full record

ArticlePLOS global public health2023

The quality of malaria case management in different transmission settings in Tanzania mainland, 2017-2018.

Ally Kassim Hussein, Donath Tarimo, Erik J Reaves, Frank Chacky, Ahmed Mohamed Abade, Charles Dismas Mwalimu, Ally Mohamed, Ahlam Nasser, Rogath Saika Kishimba

Open access · goldAbstract read
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Article in PLOS global public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
6.4field-weighted citation impact, top 4% of its field
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

3 citing papers in PubMed, 11 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Ally Kassim HusseinTanzania Field Epidemiology and Laboratory Training Program, Dar es Salaam, United Republic of Tanzania.ORCID https://orcid.org/0000-0002-6674-7487
Donath TarimoMuhimbili University of Health and Allied Sciences, Dar es Salaam, United Republic of Tanzania.
Erik J ReavesU.S. President's Malaria Initiative, U.S. Centers for Disease Control and Prevention, Dar es Salaam, United Republic of Tanzania.ORCID https://orcid.org/0000-0001-9822-5010
Frank ChackyNational Malaria Control Program, Dodoma, United Republic of Tanzania.ORCID https://orcid.org/0000-0002-6521-9156
Ahmed Mohamed AbadeTanzania Field Epidemiology and Laboratory Training Program, Dar es Salaam, United Republic of Tanzania.
Charles Dismas MwalimuMinistry of Health, Dodoma, United Republic of Tanzania.
Ally MohamedNational Malaria Control Program, Dodoma, United Republic of Tanzania.
Ahlam NasserMuhimbili University of Health and Allied Sciences, Dar es Salaam, United Republic of Tanzania.ORCID https://orcid.org/0000-0003-1513-0484
Rogath Saika KishimbaTanzania Field Epidemiology and Laboratory Training Program, Dar es Salaam, United Republic of Tanzania.ORCID https://orcid.org/0000-0002-5437-7589
Ministry of Health, Community Development, Gender, Elderly and Children · TZMuhimbili University of Health and Allied Sciences · TZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tanzania is undergoing an epidemiological transition for malaria transmission with some areas of the country having <10% (hypoendemic) and other areas 10% - 50% malaria prevalence (mesoendemic). It is not known whether there is a difference in the quality of malaria case management based on endemicity in Tanzania mainland. We examined the influence of endemicity on the quality of malaria case management at health facilities. We conducted a cross-sectional analysis of 1713 health facilities in Tanzania mainland, using data collected by the National Malaria Control Program through an assessment tool to evaluate quality of malaria case management. The data was gathered from September 2017 to December 2018. Using standard quality factors, mean scores from facilities in the different endemicity regions were compared by a Student's t-test. Simple and multiple linear regression analyses were performed to determine the association between facility performance (score) and endemicity (mesoendemic vs. hypoendemic). Facilities in mesoendemic regions scored higher than those in hypoendemic regions on the overall quality of services [difference in mean scores ([Formula: see text]) = 2.52; (95% Confidence Interval (CI) 1.12, 3.91)], site readiness [[Formula: see text] = 2.97; (95% CI 1.30, 4.61)], availability of malaria reference materials [[Formula: see text] = 4.91; (95% CI 2.05, 7.76)], availability of Health Management Information System tools [[Formula: see text] = 5.86; (95% CI 3.80, 7.92)] and patient satisfaction [[Formula: see text] = 6.61; (95% CI 3.75, 9.48)]. Predictors associated with lower facility scores included; being located in a hypoendemic region [β: -2.49; (95% CI -3.83, -1.15)] and urban area [β: -3.84; (95% CI -5.60, -2.08)]. These findings highlight the differences in quality of malaria case management based on endemicity, but there is still a need to target improvement efforts in underperforming facilities, regardless of endemicity.

Identifiers

PMID37603541
PMCPMC10441786
OpenAlexW4386023109

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.