Predictors of healthcare utilisation among poor older people under the livelihood empowerment against poverty programme in the Atwima Nwabiagya District of Ghana

BACKGROUND: Like many other low- and middle-income countries (LMICs), the Ghanaian healthcare system remains poor which is likely to affect the utilisation of healthcare services, especially among poor older people who are faced with multiple health problems. Yet, factors that explain healthcare use among poor older people in LMICs, particularly Ghana remain largely unexplored. Understanding the predictors of healthcare use among poor older people could have a huge impact on health policies in LMICs including Ghana. This study, therefore, examined factors associated with healthcare use among poor older people under the Livelihood Empowerment Against Poverty (LEAP) programme in the Atwima Nwabiagya District of Ghana. METHODS: Cross-sectional data were obtained from an Ageing, Health, Lifestyle and Health Services (AHLHS) study conducted between 1 and 20 June 2018 (N = 200) in Atwima Nwabiagya District, Ghana. Sequential logistic regression models were performed to estimate the variables that predict healthcare use among poor older people. All test results were considered significant at 0.05 or less. RESULTS: The fully adjusted model showed that respondents aged 85–89 years (AOR = 0.094, CI: 0.007–1.170), acquired basic education (AOR =0.251, CI: 0.085–0.987), received no family support (AOR = 0.771, CI: 0.120–0.620), with no past illness records (AOR = 0.236, CI: 0.057–0.197) and who were not diagnosed of chronic non-communicable diseases (AOR = 0.418, CI: 0.101–0.723) were significantly less likely to utilise health facility compared with their respective counterparts. Moreover, those with no disability (AOR = 19.245, CI: 2.415–29.921) and who consumed low fruits (AOR = 1.435 = CI: 0.552–8.740) and vegetables (AOR = 1.202 = CI: 0.362–10.20) had a higher likelihood to use healthcare. CONCLUSION: The study has outlined multiple factors influencing utilisation of healthcare among poor older people under the LEAP programme in Ghana. The results, therefore, validate the importance of social and behavioural determinants of healthcare use in the Ghanaian poor older population. We highlight the need for health planners and stakeholders to consider demographic, socio-economic, health-related and lifestyle factors when formulating health policy for poor older people in Ghana.