Evidence map›Paper›PMID 38917162›Full record

ArticlePloS one2024

Healthcare utilization in Ghana: Insights from the 2017 Ghana Living Standard Survey.

Derek Anamaale Tuoyire, Leonard Baatiema, Duah Dwomoh, Samuel Bosomprah

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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 7 papers.

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

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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

7 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

4 authors.

Derek Anamaale TuoyireDepartment of Community Medicine, School of Medical Sciences, University of Cape Coast, Cape Coast, Ghana.
Leonard BaatiemaDepartment of Health Policy Planning and Management, School of Public Health, University of Ghana, Legon, Ghana.
Duah DwomohDepartment of Biostatistics, School of Public Health, University of Ghana, Legon, Ghana.
Samuel BosomprahDepartment of Biostatistics, School of Public Health, University of Ghana, Legon, Ghana.ORCID 0000-0002-2826-3887

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe persistence of healthcare utilization disparities in Ghana despite several policy efforts highlights the urgency of understanding its determinants to enhance equitable health access. We sought to examine the determinants of healthcare utilization in Ghana.

methodsWe used the 2017 Ghana Living Standard Survey (GLSS) data. This was a cross-sectional design, which employed a stratified two-stage random sampling technique. We analyzed data involving 8,298 respondents with information on visits to healthcare facilities for services on account of illness or injury two weeks prior to the survey. Pearson's chi-squared test was used to assess the distribution of healthcare utilization across background characteristics. Further, we used multivariable Poisson regression model with robust standard error to identify factors independently associated with healthcare utilization.

resultsAmong the 8,298, the median age was 24 years (interquartile range = 7-47), 45% were males, and 45% had no education. About 42% of respondents utilized health services during an episode of illness or injury. Age, sex, educational level, marital status, wealth quintile, health insurance and severity of illness/injury were independently associated with healthcare utilization. Healthcare utilization increased significantly with wealth quintiles-those in the highest wealth quintiles had about 22% increased utilization compared to those in the lowest wealth quintiles (aPR = 1.22; 95%CI = 1.13-1.32) while it was about 77% higher among those who had valid health insurance compared to those without (aPR = 1.77; 95% CI = 1.68-1.86). Regarding severity of illness or injury, those with severe conditions were about 65% more likely to utilize healthcare services compared to those with acute conditions (aPR = 1.65; 95% CI = 1.53-1.78).

conclusionOur study underscores the importance of socio-economic factors and health insurance in healthcare utilization in Ghana. Addressing these can pave the way for more equitable access to healthcare services across all segments of the population.

Indexed as

Patient Acceptance of Health CareAdolescentAdultChildCross-Sectional StudiesFemaleGhanaHealth Services AccessibilityHumansInsurance, HealthMaleMiddle AgedSocioeconomic FactorsSurveys and QuestionnairesYoung Adult

Identifiers

PMID38917162
PMCPMC11198759

What OpenQuestion holds

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LicenceCC BY
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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.