Evidence map›Paper›PMID 35346098›Full record

ArticleBMC pregnancy and childbirth2022

Mixed effect analysis of factors influencing the use of insecticides treated bed nets among pregnant women in Ghana: evidence from the 2019 Malaria Indicator Survey.

Desmond Klu, Matilda Aberese-Ako, Alfred Kwesi Manyeh, Mustapha Immurana, Phidelia Doegah, Maxwell Dalaba, Evelyn Acquah, Robert Kaba Alhassan, Evelyn Korkor Ansah

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
4.4field-weighted citation impact, top 5% 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 23 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 1 institution in 1 country.

Desmond KluCentre for Malaria Research, Institute of Health Research, University of Health and Allied Sciences, Ho, Ghana. klud@uhas.edu.gh.
Matilda Aberese-AkoCentre for Malaria Research, Institute of Health Research, University of Health and Allied Sciences, Ho, Ghana.
Alfred Kwesi ManyehCentre for Neglected Tropical Disease Research, Institute of Health Research, University of Health and Allied Sciences, Ho, Ghana.
Mustapha ImmuranaCentre for Neglected Tropical Disease Research, Institute of Health Research, University of Health and Allied Sciences, Ho, Ghana.
Phidelia DoegahCentre for Non-Communicable Disease Research, Institute of Health Research, University of Health and Allied Sciences, Ho, Ghana.
Maxwell DalabaCentre for Non-Communicable Disease Research, Institute of Health Research, University of Health and Allied Sciences, Ho, Ghana.
Evelyn AcquahCentre for Health Policy and Implementation Research, Institute of Health Research, University of Health and Allied Sciences, Ho, Ghana.
Robert Kaba AlhassanCentre for Health Policy and Implementation Research, Institute of Health Research, University of Health and Allied Sciences, Ho, Ghana.
Evelyn Korkor AnsahCentre for Malaria Research, Institute of Health Research, University of Health and Allied Sciences, Ho, Ghana.
University of Health and Allied Sciences · GH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMalaria during pregnancy is a major cause of maternal morbidity globally and leads to poor birth outcomes. The World Health Organization has recommended the use of insecticide treated bed nets (ITN) as one of the effective malaria preventive strategies among pregnant women in malaria endemic areas. This study, therefore, seeks to examine the individual and household factors associated with the use of ITNs among pregnant women in Ghana.

methodsData for this study was obtained from the 2019 Ghana Malaria Indicator Survey (GMIS) conducted between September 25 and November 24, 2019. The weighted sample comprised 353 pregnant women aged 15-49 years. Data was analyzed with SPSS version 22 using both descriptive and multilevel logistics regression modelling. Statistically significant level was set at p < 0.05.

resultsThe study found that 49.2% of pregnant women in Ghana use ITN to prevent malaria. Pregnant women aged 35-49 years (AOR = 3.403, CI: 1.191-9.725), those with no formal education (AOR = 5.585, CI = 1.315-23.716), and those who had secondary education (AOR = 3.509, CI = 1.076-11.440) had higher odds of using ITN. Similarly, higher odds of ITN usage was found among who belonged to the Akan ethnic group (AOR = 7.234, CI = 1.497-34.955), dwell in male-headed households (AOR = 2.232, CI = 1.105-4.508) and those whose household heads are aged 60-69 years (AOR = 4.303, CI = 1.160-15.966). However, pregnant women who resided in urban areas (AOR = 0.355, CI = 0.216-0.582), those whose household heads aged 40-49 years (AOR = 0.175, CI = 0.066-0.467) and those who belonged to richer (AOR =0.184, CI = 0.050-0.679) and richest (AOR = 0.107, CI = 0.021-0.552) households had lower odds of using ITN for malaria prevention.

conclusionsIndividual socio-demographic and household factors such as pregnant women's age, educational level, place of residence, ethnicity, sex and age of household head, and household wealth quintile are associated with the use of ITN for malaria prevention among pregnant women. These factors ought to be considered in strengthening malaria prevention campaigns and develop new interventions to help increase ITN utilization among vulnerable population living in malaria- endemic areas.

Indexed as

InsecticidesMalariaAdolescentAdultAgedCross-Sectional StudiesFemaleGhanaHumansMaleMiddle AgedPregnancyPregnant PeopleYoung AdultInsecticidesGhanaITNMalariaPregnant womenPrevention

Identifiers

PMID35346098
PMCPMC8958761
OpenAlexW4220799358

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.