Evidence map›Paper›PMID 39236009›Full record

ArticlePLOS global public health2024

Multilevel predictors of anaemia among pregnant women in Ghana: New evidence from the 2019 Ghana Malaria Indicator Survey.

Desmond Klu, Frank Kyei-Arthur, Margaret Appiah, Michael Larbi Odame

Abstract read
In one paragraph

Article in PLOS global public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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3 · Its place in the literature

Who cites it

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

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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

4 authors.

Desmond KluCentre for Malaria Research, Institute of Health Research, University of Health and Allied Sciences, Ho, Volta Region, Ghana.ORCID https://orcid.org/0000-0002-2800-2943
Frank Kyei-ArthurDepartment of Environment and Public Health, University of Environment and Sustainable Development, Somanya, Eastern Region, Ghana.ORCID https://orcid.org/0000-0001-9794-8524
Margaret AppiahDepartment of Environment and Public Health, University of Environment and Sustainable Development, Somanya, Eastern Region, Ghana.ORCID https://orcid.org/0009-0000-4641-3511
Michael Larbi OdameDepartment of Sustainable Development and Policy, University of Environment and Sustainable Development, Samanya, Eastern Region, Ghana.ORCID https://orcid.org/0000-0002-0995-0569

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anaemia in pregnant women is a major public health concern. A number of multilevel factors have been attributed as contributors to anaemia in pregnancy. The purpose of this study was to examine the multilevel factors predicting anaemia among pregnant women in Ghana. Data for this study were obtained from the 2019 Ghana Malaria Indicator Survey (GMIS) conducted between September 25 and November 24, 2019 in all regions in Ghana. The weighted sample comprised 353 pregnant women aged 15-49 years. Data were analysed with SPSS version 25 using descriptive statistics, Pearson's chi-square test and binary logistic regression modelling. In this study, the outcome variable was anaemia status among pregnant women, while the predictor variables included individual, household, community, and health system level factors. The overall prevalence of anaemia among pregnant women was 28.7%. Of these, 14.5% had mild anaemia, and 13.2% and 1.1% had moderate and severe anaemia, respectively. The results indicate that a higher probability of anaemia in pregnancy is likely to be found among pregnant women less than 35 years (15-24 years, aOR = 3.31; C.I: 1.13-9.73) (25-34 years, aOR = 2.49; C.I:1.06-5.84). A higher likelihood of anaemia was found among pregnant women who did not take SP drug (aOR = 3.70; C.I:1.20-11.43) and also among household heads aged 30-39 years (aOR = 4.51; C.I:1.09-18.71). However, a lower odd of being anaemic was found among pregnant women who had attained secondary or higher education (aOR = 0.19; C.I:0.05-0.76), women in the richest households (aOR = 0.02; C.I:0.00-0.42) and those accessing unimproved drinking water (aOR = 0.37; C.I:0.14-0.95). Furthermore, pregnant women with health insurance coverage had lower probability (aOR = 0.24; C.I: 0.06-0.94) of being anaemic. The results highlight the importance of varying factors at different levels in understanding the prevalence of anaemia among pregnant women. Understanding these factors will play a major contributor to developing strategies and programmes aimed at addressing anaemia among pregnant women.

Identifiers

PMID39236009
PMCPMC11376585

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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.