Evidence map›Paper›PMID 33334326›Full record

ArticleBMC public health2020

Barriers to accessing healthcare among women in Ghana: a multilevel modelling.

Abdul-Aziz Seidu, Eugene Kofuor Maafo Darteh, Ebenezer Agbaglo, Louis Kobina Dadzie, Bright Opoku Ahinkorah, Edward Kwabena Ameyaw, Justice Kanor Tetteh, Linus Baatiema, Sanni Yaya

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
6.9field-weighted citation impact, top 3% 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

43 citing papers in PubMed, 64 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 3 institutions in 4 countries.

Abdul-Aziz SeiduDepartment of Population and Health, University of Cape Coast, Cape Coast, Ghana. abdul-aziz.seidu@stu.ucc.edu.gh.ORCID http://orcid.org/0000-0001-9734-9054
Eugene Kofuor Maafo DartehDepartment of Population and Health, University of Cape Coast, Cape Coast, Ghana.
Ebenezer AgbagloDepartment of English, University of Cape Coast, Cape Coast, Ghana.
Louis Kobina DadzieDepartment of Population and Health, University of Cape Coast, Cape Coast, Ghana.
Bright Opoku AhinkorahThe Australian Centre for Public and Population Health Research (ACPPHR), Faculty of Health, University of Technology Sydney, Sydney, Australia.
Edward Kwabena AmeyawThe Australian Centre for Public and Population Health Research (ACPPHR), Faculty of Health, University of Technology Sydney, Sydney, Australia.
Justice Kanor TettehDepartment of Population and Health, University of Cape Coast, Cape Coast, Ghana.
Linus BaatiemaDepartment of Population and Health, University of Cape Coast, Cape Coast, Ghana.
Sanni YayaSchool of International Development and Global Studies, University of Ottawa, Ottawa, Canada.
University of Cape Coast · GHUniversity of Technology Sydney · AUGlobal Affairs Canada · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWomen's health remains a global public health concern, as enshrined 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 Ghana.

methodsThe study was conducted among 9370 women aged 15-49, using data from the 2014 Ghana Demographic and Health Survey. Barrier to healthcare, derived from four questions- whether a woman faced problems in getting money, distance, companionship, and permission to see a doctor-was the outcome variable. Descriptive and multilevel logistic regression analyses were carried out. The fixed effect results of the multilevel logistic regression analyses were reported using adjusted odds ratios at a 95% confidence interval.

resultsMore than half (51%) of the women reported to have at least one form of barrier to accessing healthcare. Women aged 45-49 (AOR = 0.65, CI: 0.49-0.86), married women (AOR = 0.71, CI:0.58-0.87), those with a higher level of education (AOR = 0.51, CI: 0.37-0.69), those engaged in clerical or sales occupation (AOR = 0.855, CI: 0.74-0.99), and those who were covered by health insurance (AOR = 0.59, CI: 0.53-0.66) had lower odds of facing barriers in accessing healthcare. Similarly, those who listened to radio at least once in a week (AOR =0.77, CI: 0.66-0.90), those who watched television at least once a week (AOR = 0.75, CI: 0.64-0.87), and women in the richest wealth quintile (AOR = 0.47, CI: 0.35-0.63) had lower odds of facing barriers in accessing healthcare. However, women who were widowed (AOR = 1.47, CI: 1.03-2.10), those in the Volta Region (AOR 2.20, CI: I.38-3.53), and those in the Upper West Region (AOR =2.22, CI: 1.32-3.74) had the highest odds of facing barriers to healthcare accessibility.

conclusionThis study shows that individual and contextual factors are significant in predicting barriers in healthcare access in Ghana. The factors identified include age, marital status, employment, health insurance coverage, frequency of listening to radio, frequency of watching television, wealth status, and region of residence. These findings highlight the need to pay critical attention to these factors in order to achieve the Sustainable Development Goals 3.1, 3.7, and 3.8. It is equally important to strengthen existing strategies to mitigate barriers to accessing healthcare among women in Ghana.

Indexed as

Health FacilitiesHealth Services AccessibilityAdolescentAdultFemaleGhanaHealth SurveysHumansMiddle AgedWomen's HealthYoung AdultBarriersDHSGhanaGlobal healthMulti-level analysisPublic healthWomen’s health

Identifiers

PMID33334326
PMCPMC7745480
OpenAlexW3111997111

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.