Socioeconomic and residence-based related inequality in childhood vaccination in Sub-Saharan Africa: Evidence from Benin.

Background and Aims: Childhood vaccination remains a cost-effective strategy that has expedited the control and elimination of numerous diseases. Although coverage of new vaccines in low- and middle-income countries increased exponentially in the last two decades, progress on expanding routine vaccination services to reach all children remains low, and coverage levels in many countries remains inadequate. This study aimed to examine the pattern of wealth and residence-based related inequality in vaccination coverage through an equity lens. Methods: We used data from the 2017-2018 Benin Demographic and Health Survey. Statistical and econometrics modeling were used to investigate factors associated with childhood vaccination. The Wagstaff decomposition analysis was used to disentangle the concentration index. Results: A total of 1993 children were included, with 17% in the wealthiest quintile and 63% were living in rural areas. Findings showed that wealth is positively and significantly associated with vaccination coverage, particularly, for middle-wealth households. A secondary or higher education level of women and partners increased the odds of vaccination compared to no education (p < 0.05). Women with more antenatal care visits, with multiple births, attending postnatal care and delivery in a health facility had increased vaccination coverage (p < 0.01). Inequalities in vaccination coverage are more prominent in rural areas; and are explained by wealth, education, and antenatal care visits. Conclusion: Inequality in child vaccination varies according to socioeconomic and sociodemographic characteristics and is of interest to health policy. To mitigate inequalities in child vaccination coverage, policymakers should strengthen the availability and accessibility of vaccination and implement educational programs dedicated to vulnerable groups in rural areas.

Explaining external economic support inequality among households affected by HIV/AIDS in Tanzania: an Oaxaca Blinder decomposition analysis.

BACKGROUND: HIV/AIDS remains the leading cause of death in sub-Saharan Africa. Due to multiple constraints experienced by households that seem to be disproportionally affected, families generally seek assistance from the community and external economic support. Previous researchers studied socioeconomic and gender inequality in HIV/AIDS prevalence in sub-Saharan African countries. However, very few researchers have paid attention to the external economic support for HIV/AIDS affected households in Tanzania. This study investigates the difference in economic support among households affected or not affected by the HIV/AIDS epidemic in Tanzania. METHODS: Data used stemmed from the Tanzania HIV Impact Survey 2016-2017 (THIS) of the Population-based HIV Impact Assessment (PHIA) project, collected between 2016 and 2017 in Tanzania. The study population were the heads of households (adults) with age greater than 15. The dependent variable for the study was economic support. This consisted of both material and non-material assistance obtained from outside the household. Socio-demographic (economics) characteristics constituted the predictors of the study. Descriptive statistics and econometric modelling were used to analyse determinants associated with external economic support. Oaxaca-Blinder decomposition method was also performed to investigate the difference in economic support depending on households' serological status in Tanzania. RESULTS: A total of 12,008 households were included. Almost 11% of the household heads indicated that their households received economic support. HIV/AIDS affected 7% of households. The mean age of the household heads was 45 years (SD ± 15) with a range of 16-80. The majority of household heads were men (72%). Being a household head affected by HIV/AIDS increases the probability to receive external economic support (p < 0.05). The difference in external economic support between the two groups (HIV/AIDS and no- HIV/AIDS households) was - 0.032 (p < 0.01). This gap was observed to favour households affected by HIV/AIDS. Almost 72% (- 0.023/- 0.032) of this difference was explained by characteristics such as the wealth index (p < 0.01), residence area (urban) (p < 0.01), marital status (widowed (p < 0.05) and divorced or separated) (p < 0.1) and age (p < 0.01). CONCLUSION: The difference in economic support across households affected or not affected by HIV/AIDS was explained by wealth index, residence area, marital status and age. These findings represent important implications for health policy regarding future economic support strategies for HIV/AIDS-affected households.

Does disability increase households' health financial risk: evidence from the Uganda demographic and health survey.

BACKGROUND: In the last few years, there has been a worldwide commitment to protect the vulnerable individuals from higher financial risk through out-of-pocket (OOP) health expenditure. This study examines the influence of disability and socio-demographic factors on households' health financial risks in Uganda. METHODS: We used nationally representative cross-sectional data from the Uganda Demographic and Health Survey (UDHS) collected in 2016 by the Uganda Bureau of Statistics (UBOS) in Uganda. We measured financial risk (households' health expenditure) by money paid for health care services. We estimated the "probit" model to investigate the effect of disability on health financial risk. RESULTS: A total of 19,305 households were included in this study. Almost 32% of households paid money for health care services access, among which 32% paid through out-of-pocket. Almost 41% of household heads were affected by disability. The majority (73%) of families went to the public sector for health care services. The mean age was 45 years (SD ± 15). We find that disability is significantly associated with the household financial risk (p < 0.01). The private sector's choice for health care services is likely to positively affect the financial risk compared to the public sector (p < 0.01). The wealthier the household was, the more money paid for health service was (p < 0.01). CONCLUSION: Our results indicated that disability and household socio-demographic characteristics were associated with health financial risk in Uganda. Identifying families with disability and experiencing difficult living conditions constitute an entry point for health authorities to enhance health coverage progress in low and middle-income countries.

Determinants of the need for respite according to the characteristics of informal carers of elderly people at home: results from the 2015 French national survey.

BACKGROUND: The demographic and social changes associated with population aging and the increasing incidence of chronic diseases underscore the importance of the role of informal carers. The number of informal carers is increasing and negative consequences associated with providing care, such as burnout, are known. However the influence of socioeconomic and psychological factors on the need for respite have not been well characterized to date. Informal care represents an essential component of health care systems and long-term care. The purpose of this study was to shed light on how the characteristics of informal carers affect the need for respite. METHODS: We used data from a nationally representative survey, Capacités Aides et Resources des Seniors (CARE - ménage), collected in 2015 by the National Institute for Statistics and Economic Studies (INSEE) and the Directorate for Research, Studies, Assessment and Statistics (DREES). The determinants of the need for respite among the characteristics of informal caregivers were explored using a probit model. To handle missing data, sensitivity analyses were performed using multiple imputations. RESULTS: Our study included N = 4033 dyads of informal carers and care recipients. The mean age was 61 for carers. The majority of carers were female, married, the child of the care recipient. Almost 27% reported a need for respite. A worse health status, feeling of loneliness, having a lack of time for oneself and needing to provide more than 30 h of care per month very significantly increased the need for respite irrespective of whether or not the carer lived with the care recipient (p < 0.01). Providing care to other persons was likely to induce a greater need for respite (p < 0.01). Cohabitation of the informal carer and the care recipient was likely to increase the need for respite (p < 0.05). Conversely, however, being closely acquainted with the care recipient showed a reduced need for respite in comparison with that of carers who are married to their care recipient (p < 0.05). CONCLUSIONS: These findings provide useful information for policymakers, physicians and other health professionals for reducing carers' risk of exhaustion and burnout and for referring carers to the relevant service, e.g. psychological intervention, respite care support, training support and education support.

Cost-Utility Analyses of Interventions for Informal Carers: A Systematic and Critical Review.

BACKGROUND: Demographic and epidemiological changes place an increasing reliance on informal carers. Some support programmes exist, but funding is often limited. There is a need for economic evaluation of interventions for carers to assist policymakers in prioritizing carer support. OBJECTIVE: Our aim was to systematically review and critically appraise cost-utility analyses of interventions for informal carers, in order to assess the methods employed and the quality of the reporting. METHODS: A systematic review of databases was conducted using MEDLINE, Embase, PsycINFO, and EconLit of items published between 1950 and February 2019. Published studies were selected if they involved a cost-utility analysis of an intervention mainly or jointly targeting informal carers. The reporting quality of economic analyses was evaluated using the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) statement. RESULTS: An initial set of 1364 potentially relevant studies was identified. The titles and the abstracts were then screened, resulting in the identification of 62 full-text articles that warranted further assessment of their eligibility. Of these, 20 economic evaluations of informal carer interventions met the inclusion criteria. The main geographical area was the UK (n = 11). These studies were conducted in mental and/or behavioural (n = 15), cardiovascular (n = 3) or cancer (n = 2) clinical fields. These cost-utility analyses were based on randomized clinical trials (n = 16) and on observational studies (n = 4), of which only one presented a Markov model-based economic evaluation. Four of the six psychological interventions were deemed to be cost effective versus two of the four education/support interventions, and four of the nine training/support interventions. Two articles achieved a CHEERS score of 100% and nine of the economic evaluations achieved a score of 85% in terms of the CHEERS criteria for high-quality economic studies. CONCLUSIONS: Our critical review highlights the lack of cost-utility analyses of interventions to support informal carers. However, it also shows the relative prominence of good reporting practices in these analyses that other studies might be able to build on.