9 research outputs found

    Prevalence and sociodemographic factors associated with vision difficulties in Ghana, Gambia, and Togo: a multi-country analysis of recent multiple Indicator cluster surveys.

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    BACKGROUND: The sense of sight is one of the important human sensory abilities that is required for independent functioning and survival. The highest burden of sight-related problems is recorded in low-and middle-income countries, especially in sub-Saharan Africa. Despite the burden, nationally representative analyses to understand the prevalence and determinants of vision difficulties are hard to find. Therefore, this study addressed this knowledge gap by estimating the prevalence of vision difficulties and its correlates in gender-stratified models in three West African countries: Ghana, Gambia, and Togo. METHODS: The study used the most recent Multiple Indicator Cluster Surveys of Ghana (2017-2018), Gambia (2018), and Togo (2017). Summary statistics were used to describe the participants and logistic regression was used to perform the bivariate and multivariate analyses. The analyses were performed using Stata version 14 and the complex survey design of the datasets was accounted for using the 'svyset' command. RESULTS: Gendered differences were observed for vision difficulties. More women than men reported vision difficulties in Ghana (men: 14.67% vs women: 23.45%) and Togo (men: 14.86% vs women: 23.61%), but more men than women reported vision difficulties in Gambia (men: 11.64% vs women: 9.76%). We also observed gender differences in how age, education, marital status, and region of residence were significantly associated with reported vision difficulties. The direction and magnitude of these relationships were different among men and women across the survey data in Ghana, Gambia, and Togo. CONCLUSION: The findings imply the need to tackle the existing gender inequities that are associated with vision difficulties to promote the quality of life of individuals, especially among older adults

    Socioeconomic and demographic correlates of nonenrolment onto the national health insurance scheme among children in Ghana: Insight from the 2017/18 Multiple Indicator Cluster Survey

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    The goal of Ghana’s health insurance scheme is to achieve universal coverage. Despite NHIS’ benefits to children, not all children in Ghana are covered. This study investigates the sociodemographic covariates of nonenrolment onto the national health insurance scheme among children in Ghana. We used the child dataset of the 2017/18 Ghana Multiple Indicator Cluster Survey (G-MICS). We used STATA version 14 for the data analyses. We described each study variable using frequency and percentages. We used Poisson regression to estimate crude and adjusted prevalence ratios of the relationship between the covariates and the outcome variable. Approximately 57% of children were covered with health insurance in Ghana. In the adjusted multivariable model, male children, children within the ages of 10–14 or 15–17 years, and children who have some form of functional disability and those with no information on their functional disability status, children of mothers with lower than post-secondary education, and children residing in households of less than the fifth quantile on the household wealth index were associated with a higher likelihood of nonenrolment onto the national health insurance scheme. Finally, compared to the children in greater Accra, children in the other nine regions were associated with a lower likelihood of nonenrolment onto the national health insurance scheme. Given the results, improvement in health insurance coverage should be done, taking into consideration variations across the socio-demographic characteristics of the child, mother, and households

    Trends in under-five mortality rate disaggregated across five inequality dimensions in Ghana between 1993 and 2014.

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    Objectives Globally, there has been a considerable decline in under-five mortality in the past years. However, it remains a critical issue among low- and middle-income countries, especially in sub-Saharan Africa. In Ghana, under-five mortality is a critical public health issue that requires national interventions. In the present study, we examined the trends of under-five mortality in Ghana from 1993 to 2014. Methods Using the World Health Organization's Health Equity Assessment Toolkit, we analyzed data from the 1993–2014 Ghana Demographic and Health surveys. We disaggregated the under-five mortality rate by five equity stratifiers: wealth index, education, sex, place, and region of residence. We measured the inequality through summary measures, namely difference, population attributable risk, ratio and population attributable fraction. Results In 1993, under-five mortality among children in poor households (172.90, uncertainty intervals [UIs = 153.21–194.53]) was more than twice the proportion of children from the richest households who died before their 5th birthday (74.96; UI = 60.31–92.81) and this trend continued until 2008. However, in 2014, the poorest had the lowest rate (30.91, UI = 78.70–104.80). Children of women with no formal education consistently recorded the highest burden of under-five mortality. Although in 2014 the gap appeared to have narrowed, children of mothers with no formal education record the highest under-five mortality rate (91.61; UI = 79.73–105.07) compared with those with secondary or higher education (54.34; UI = 46.24–63.77). Under-five mortality was higher among rural residents throughout the years. Men repeatedly had the greatest share of under-five mortality with the highest prevalence occurring in 1993 (137.52; UI = 123.51–152.85) and the lowest occurring in 2014 (77.40; UI = 69.15–86.54). The Northern region consistently accounted for the greatest proportion of under-five mortality. Conclusion Ghana has experienced a decline in under-five mortality from 1993 to 2014. Context-specific appropriate interventions are necessary for various disadvantaged sub-populations with risks of health disparities

    HIT-COVID, a global database tracking public health interventions to COVID-19

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    The COVID-19 pandemic has sparked unprecedented public health and social measures (PHSM) by national and local governments, including border restrictions, school closures, mandatory facemask use and stay at home orders. Quantifying the effectiveness of these interventions in reducing disease transmission is key to rational policy making in response to the current and future pandemics. In order to estimate the effectiveness of these interventions, detailed descriptions of their timelines, scale and scope are needed. The Health Intervention Tracking for COVID-19 (HIT-COVID) is a curated and standardized global database that catalogues the implementation and relaxation of COVID-19 related PHSM. With a team of over 200 volunteer contributors, we assembled policy timelines for a range of key PHSM aimed at reducing COVID-19 risk for the national and first administrative levels (e.g. provinces and states) globally, including details such as the degree of implementation and targeted populations. We continue to maintain and adapt this database to the changing COVID-19 landscape so it can serve as a resource for researchers and policymakers alike
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