BackgroundInequality in health services access and utilization are influenced by out-of-pocket health expenditures in many low and middle-income countries (LMICs). Various antecedents such as social factors, poor health and economic factors are proposed to direct the choice of health care service use and incurring out-of-pocket payments. We investigated the association of these factors with out-of-pocket health expenditures among the adult and older population in the United Republic of Tanzania. We also investigated the prevalence and associated determinants contributing to household catastrophic health expenditures.MethodsWe accessed the data of a multistage stratified random sample of 7279 adult participants, aged between 18 and 59 years, as well as 1018 participants aged above 60 years, from the first round of the Tanzania National Panel survey. We employed multiple generalized linear and logistic regression models to evaluate the correlates of out-of-pocket as well as catastrophic health expenditures, accounting for the complex sample design effects.ResultsIncreasing age, female gender, obesity and functional disability increased the adults’ out-of-pocket health expenditures significantly, while functional disability and visits to traditional healers increased the out-of-pocket health expenditures in older participants. Adult participants, who lacked formal education or worked as manual laborers earned significantly less (p < 0.001) and spent less on health (p < 0.001), despite having higher levels of disability. Large household size, household head’s occupation as a manual laborer, household member with chronic illness, domestic violence against women and traditional healer’s visits were significantly associated with high catastrophic health expenditures.ConclusionWe observed that the prevalence of inequalities in socioeconomic factors played a significant role in determining the nature of both out-of-pocket and catastrophic health expenditures. We propose that investment in social welfare programs and strengthening the social security mechanisms could reduce the financial burden in United Republic of Tanzania.
Reducing out-of-pocket health expenditure among older people is an important public health issue, in which social as well as medical determinants should be prioritised. Enhanced public health sector performance and provision of publicly funded insurance may protect against catastrophic health expenses and healthcare inequities in India.
BackgroundLack of state supported care services begets the informal caregiving by family members as the mainstay of care provided to the dependent older people in many Low and Middle Income Countries (LMICs), including India. Little is known about the time spent on caregiving, its cost and the burden experienced by these informal caregivers. We aimed to estimate the costs of informal caregiving and to evaluate the nature as well as correlates of caregivers’ burden in a rural Indian community.MethodsWe assessed 1000 people aged above 65 years, among whom 85 were dependent. We assessed their socioeconomic profiles, disability, health status and health expenditures. Their caregivers’ socio-demographic profiles, mental health, and the time spent on caregiving were assessed using standard instruments. Caregiver’s burden was evaluated using Zarit Burden Scale. We valued the annual informal caregiving costs using proxy good method. We employed appropriate non-parametric multivariate statistics to evaluate the correlates of caregivers’ burden.ResultsAverage time spent on informal caregiving was 38.6 (95% CI 35.3-41.9) hours/week. Estimated annual cost of informal caregiving using proxy good method was 119,210 US$ in this rural community. Mean total score of Zarit burden scale, measuring caregivers’ burden, was 17.9 (95% CI 15.6-20.2). Prevalence of depression among the caregivers was 10.6% (95% CI 4.1-17.1%). Cerebrovascular disease, Parkinson’s disease, higher disability, insomnia and incontinence of the dependent older people as well as the time spent on helping Activities of Daily Living and on supervision increased caregiver's burden significantly.ConclusionsCost and burden of informal caregiving are high in this rural Indian community. Many correlates of burden, experienced by caregivers, are modifiable. We discuss potential strategies to reduce this burden in LMICs. Need for support to informal caregivers and for management of dependent older people with chronic disabling diseases by multidisciplinary community teams are highlighted.
Objective: Although depression among older people is an important public health problem worldwide, systematic studies evaluating its prevalence and determinants in low and middle income countries (LMICs) are sparse. Biopsychosocial model of depression and prevailing socioeconomic hardships for older people in LMICs have provided the impetus to determine the prevalence of geriatric depression, to study its associations with health, social, and economic variables, and to investigate socioeconomic inequalities in depression prevalence in LMICs.
Methods:We accessed World Health Organisation-Study on global AGEing and adult health (WHO-SAGE) wave-1 data that studied nationally representative samples from six large LMICs (N=14,877). A computerised algorithm derived depression diagnoses. We assessed hypothesised associations using survey multivariate logistic regression models for each LMIC, and pooled their risk estimates by meta-analyses. We investigated related socioeconomic inequalities using concentration indices.
Results:Cross-national prevalence of geriatric depression was 4.7% (95% CI 1.9-11.9%).Women, illiteracy, poverty, indebtedness, past informal-sector occupation, bereavement, angina, and stroke had significant positive associations, while pension support and health insurance showed significant negative associations with geriatric depression. We documented pro-poor inequality of geriatric depression in five LMICs. 4 population-based public health interventions and policies to prevent and to manage geriatric depression effectively in LMICs cannot be overemphasised.
Interactions between determinants of out-of-pocket health expenditure, economic inequality, and inequities on essential health care delivery to older people are complex. We highlight the need for equitable health services and policies, focusing on both medical and social determinants.
BackgroundGender inequality weakens maternal health and harms children through many direct and indirect pathways. Allied biological disadvantage and psychosocial adversities challenge the survival of children of both genders. United Nations Development Programme (UNDP) has recently developed a Gender Inequality Index to measure the multidimensional nature of gender inequality. The global impact of Gender Inequality Index on the child mortality rates remains uncertain.MethodsWe employed an ecological study to investigate the association between child mortality rates and Gender Inequality Indices of 138 countries for which UNDP has published the Gender Inequality Index. Data on child mortality rates and on potential confounders, such as, per capita gross domestic product and immunization coverage, were obtained from the official World Health Organization and World Bank sources. We employed multivariate non-parametric robust regression models to study the relationship between these variables.ResultsWomen in low and middle income countries (LMICs) suffer significantly more gender inequality (p < 0.001). Gender Inequality Index (GII) was positively associated with neonatal (β = 53.85; 95% CI 41.61-64.09), infant (β = 70.28; 95% CI 51.93-88.64) and under five mortality rates (β = 68.14; 95% CI 49.71-86.58), after adjusting for the effects of potential confounders (p < 0.001).ConclusionsWe have documented statistically significant positive associations between GII and child mortality rates. Our results suggest that the initiatives to curtail child mortality rates should extend beyond medical interventions and should prioritize women’s rights and autonomy. We discuss major pathways connecting gender inequality and child mortality. We present the socio-economic problems, which sustain higher gender inequality and child mortality in LMICs. We further discuss the potential solutions pertinent to LMICs. Dissipating gender barriers and focusing on social well-being of women may augment the survival of children of both genders.
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