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

• Main Authors: 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
• Format: Article
• Language: English
• Published: BMC 2020-12-01
• Series: BMC Public Health
• Subjects: Barriers; Ghana; Women’s health; Multi-level analysis; DHS; Public health
• Online Access: https://doi.org/10.1186/s12889-020-10017-8

Abstract Background Women’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. Methods The 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. Results More 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. Conclusion 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.