Barriers to accessing healthcare among women in Ghana

A multilevel modelling

Bibliographic Data

ID15364721
AuthorsAbdul-Aziz Seidu (0000-0001-9734-9054, University of Cape Coast, corresponding author), Eugene Kofuor Maafo Darteh (0000-0003-4689-8891, University of Cape Coast), Ebenezer Agbaglo (0000-0002-4720-0662, University of Cape Coast), Louis Kobina Dadzie (0000-0003-4764-7605, University of Cape Coast), Bright Opoku Ahinkorah (0000-0001-7415-895X, University of Technology Sydney), Edward Kwabena Ameyaw (0000-0002-6617-237X, University of Technology Sydney), Justice Kanor Tetteh (0000-0001-7890-1165, University of Cape Coast), Linus Baatiema (0000-0002-8668-4671, University of Cape Coast), Sanni Yaya (0000-0002-4876-6043, Global Affairs Canada)
Year2020
Volume20
Issue1
Pages1916-1916
Publication date2020-12-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueBMC Public Health (JOURNAL)
Journal identifiersISSN: 1471-2458 • E-ISSN: 1471-2458
PublisherBioMed Central (PUBLISHER • GB)
DOI10.1186/s12889-020-10017-8
PMID33334326
OpenAlexW3111997111
LanguageEN
Citations received15
References cited35

This 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

Biostatistics · Confidence interval · Family medicine · Health care · Logistic regression · Multilevel model · Odds · Odds ratio · Public health · Demography · Global Health Care Issues · Global Maternal and Child Health · Healthcare Systems and Reforms · Medicine · Nursing