Evidence map›Paper›PMID 33166320›Full record

ArticlePloS one2020

Mixed effects analysis of factors associated with barriers to accessing healthcare among women in sub-Saharan Africa: Insights from demographic and health surveys.

Abdul-Aziz Seidu

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 2 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

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

39 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Barriers to Radiotherapy Access in Sub-Saharan Africa for Patients with Cancer: A Systematic Review.International journal of environmental research and public health · 2024
    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

1 author.

Abdul-Aziz SeiduDepartment of Population and Health, College of Humanities and Legal Studies, University of Cape Coast, Cape Coast, Ghana.ORCID 0000-0001-9734-9054

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccess to healthcare is one of the key global concerns as treasured in the Sustainable Development Goals. This study, therefore, sought to assess the individual and contextual factors associated with barriers to accessing healthcare among women in sub-Saharan Africa (SSA). MATERIALS AND

methodsData for this study were obtained from the latest Demographic and Health Surveys (DHS) conducted between January 2010 and December 2018 across 24 countries in SSA. The sample comprised 307,611 women aged 15-49. Data were analysed with STATA version 14.2 using both descriptive and multilevel logistic regression modelling. Statistical significance was set at p<0.05.

resultsIt was found that 61.5% of women in SSA face barriers in accessing healthcare. The predominant barriers were getting money needed for treatment (50.1%) and distance to health facility (37.3%). Women aged 35-39 (AOR = 0.945, CI: 0.911-0.980), married women (AOR = 0.694, CI: 0.658-0.732), richest women (AOR = 0.457, CI:0.443-0.472), and those who read newspaper or magazine at least once a week (AOR = 0.893, CI:0.811-0.983) had lower odds of facing barriers in accessing healthcare. However, those with no formal education (AOR = 1.803, CI:1.718-1.891), those in manual occupations (AOR = 1.551, CI: 1.424-1.689), those with parity 4 or more (AOR = 1.211, CI: 1.169-1.255), those who were not covered by health insurance (AOR = 1.284, CI: 1.248-1.322), and those in rural areas (AOR = 1.235, CI:1.209-1.26) had higher odds of facing barriers to healthcare access.

conclusionBoth individual and contextual factors are associated with barriers to healthcare accessibility in SSA. Particularly, age, marital status, employment, parity, health insurance coverage, exposure to mass media, wealth status and place of residence are associated with barriers to healthcare accessibility. These factors ought to be considered at the various countries in SSA to strengthen existing strategies and develop new interventions to help mitigate the barriers. Some of the SSA African countries can adopt successful programs in other parts of SSA to suit their context such as the National Health Insurance Scheme (NHIS) and the Community-based Health Planning and Services concepts in Ghana.

Indexed as

DemographyHealth Services AccessibilityHealth SurveysAdolescentAdultAfrica South of the SaharaFactor Analysis, StatisticalFemaleHumansLogistic ModelsMiddle AgedMultilevel AnalysisSample SizeYoung Adult

Identifiers

PMID33166320
PMCPMC7652334

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.