Evidence map›Paper›PMID 39485743›Full record

ArticlePloS one2024

Coverage and determinants of Intermittent Preventive Treatment in pregnancy (IPTp) in Cameroon, Guinea, Mali, and Nigeria.

M D Nahid Hassan Nishan, Khadiza Akter

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

2 authors.

M D Nahid Hassan NishanDepartment of Public Health, North South University, Dhaka, Bangladesh.ORCID 0000-0002-6883-0284
Khadiza AkterDepartment of Nursing, International University of Business Agriculture and Technology, Dhaka, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMalaria poses a serious issue for pregnant women in African regions. It is crucial to comprehend the various factors that impact receiving IPTp during ANC checkups. These are important for the well-being of both pregnant mothers and their unborn children. Therefore, this study aims to investigate the determinants of IPTp coverage among women in Cameroon, Guinea, Mali, and Nigeria. METHODOLOGY: This cross-sectional study utilized secondary data from the Malaria Indicator Surveys (MIS) across Cameroon, Guinea, Mali, and Nigeria, focusing on women who received IPTp during pregnancy with IPTp categorized dichotomously as "Yes" for ANC visits and "No" for other visits. Chi-squared tests were used to assess associations, and binary logistic regression was conducted to calculate adjusted odds ratios, confidence intervals, and p-values. Results were summarized in tables.

resultsWe found IPTp coverage during ANC visits was highest in Cameroon (98.6%), followed by Guinea (97.7%), Mali (97.1%), and lowest in Nigeria (95.5%). In Guinea, rural women were less likely to receive IPTp than urban women (AOR: 0.16, 95% CI: 0.07-0.41, p<0.001). In Mali, women who received 3 or more doses were less likely to receive IPTp at ANC (AOR: 0.48, p<0.01). In Nigeria, personal transport increased IPTp uptake (AOR: 1.88, p<0.01). In Cameroon, malaria prevention messages improved IPTp coverage (AOR: 3.12, p<0.05).

conclusionsThis study highlights significant disparities in IPTp uptake, with rural Mali and Guinea facing lower coverage. In Nigeria, personal transport improved IPTp uptake. Targeted interventions are needed to improve ANC services and ensure equitable IPTp access across the study regions.

Indexed as

AntimalarialsMalariaPrenatal CareAdolescentAdultCameroonCross-Sectional StudiesFemaleGuineaHumansMaliNigeriaPregnancyPregnancy Complications, ParasiticRural PopulationYoung AdultAntimalarials

Identifiers

PMID39485743
PMCPMC11530089

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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.