Public health insurance and maternal health care utilization in india: evidence from the 2005-2012 mothers' cohort data.

BACKGROUND: The introduction of Janani Suraksha Yojana (JSY) in India, a conditional cash transfer program which incentivized women to deliver at institutions, resulted in a significant increase in institutional births. Another major health policy reform, which could have affected maternal and child health care (MCH) utilization, was the public health insurance scheme (RSBY) launched in 2008. However, there is a noticeable lack of studies that examine how RSBY had impacted on MCH utilization in India. We used data from a cohort of mothers whose delivery had been captured in both the 2005 and 2011/12 rounds of the Indian Human Development Survey (IHDS) to study the impact of health insurance (in particular, the public insurance scheme versus private insurance) on MCH access. We also investigated whether maternal empowerment was a significant correlate that affects MCH utilization. METHODS: We used the multilevel mixed-effects ordered logistic regression model to account for the clustered nature of our data. We derived indexes for women's empowerment using Principal component analysis (PCA) technique applied to various indicators of women's autonomy and socio-economic status. RESULTS: Our results indicated that the odds of mothers' MCH utilization levels vary by district, community and mother over time. The effect of the public insurance scheme (RSBY) on MCH utilization was not as strong as privately available insurance. However, health insurance was only significant in models that did not control for household and mother level predictors. Our findings indicated that maternal empowerment indicators - in particular, maternal ability to go out of the house and complete chores and economic empowerment-were associated with higher utilization of MCH services. Among control variables, maternal age and education were significant correlates that increase MCH service utilization over time. Household wealth quintile was another significant factor with mothers belonging to upper quintiles more likely to access and utilize MCH services. CONCLUSIONS: Change in women's and societal attitude towards maternal care may have played a significant role in increasing MCH utilization over the study period. There might be a need to increase the coverage of the public insurance scheme given the finding that it was less effective in increasing MCH utilization. Importantly, policies that aim to improve health services for women need to take maternal autonomy and empowerment into consideration.

Beyond personal factors: Multilevel determinants of childhood stunting in Indonesia.

BACKGROUND: Stunting is still a major public health problem in low- and middle-income countries, including Indonesia. Previous studies have reported the complexities associated with understanding the determinants of stunting. This study aimed to examine the household-, subdistrict- and province-level determinants of stunting in Indonesia using a multilevel hierarchical mixed effects model. METHODS: We analyzed data for 8045 children taken from the 2007 and 2014 waves of the Indonesian Family and Life Surveys (IFLS). We included individual-, family-/household- and community-level variables in the analyses. A multilevel mixed effects model was employed to take into account the hierarchical structure of the data. Moreover, the model captured the effect of unobserved household-, subdistrict- and province-level characteristics on the probability of children being stunted. RESULTS: Our findings showed that the odds of childhood stunting vary significantly not only by individual child- and household-level characteristics but also by province- and subdistrict-level characteristics. Among the child-level covariates included in our model, dietary habits, neonatal weight, a history of infection, and sex significantly affected the risk of stunting. Household wealth status and parental education are significant household-level covariates associated with a higher risk of stunting. Finally, the risk of stunting is higher for children living in communities without access to water, sanitation and hygiene. CONCLUSIONS: Stunting is associated with not only child-level characteristics but also family- and community-level characteristics. Hence, interventions to reduce stunting should also take into account family and community characteristics to achieve effective outcomes.

COVID-19 in Ethiopia: a geospatial analysis of vulnerability to infection, case severity and death.

BACKGROUND: COVID-19 has caused a global public health crisis affecting most countries, including Ethiopia, in various ways. This study maps the vulnerability to infection, case severity and likelihood of death from COVID-19 in Ethiopia. METHODS: Thirty-eight potential indicators of vulnerability to COVID-19 infection, case severity and likelihood of death, identified based on a literature review and the availability of nationally representative data at a low geographic scale, were assembled from multiple sources for geospatial analysis. Geospatial analysis techniques were applied to produce maps showing the vulnerability to infection, case severity and likelihood of death in Ethiopia at a spatial resolution of 1 km×1 km. RESULTS: This study showed that vulnerability to COVID-19 infection is likely to be high across most parts of Ethiopia, particularly in the Somali, Afar, Amhara, Oromia and Tigray regions. The number of severe cases of COVID-19 infection requiring hospitalisation and intensive care unit admission is likely to be high across Amhara, most parts of Oromia and some parts of the Southern Nations, Nationalities and Peoples' Region. The risk of COVID-19-related death is high in the country's border regions, where public health preparedness for responding to COVID-19 is limited. CONCLUSION: This study revealed geographical differences in vulnerability to infection, case severity and likelihood of death from COVID-19 in Ethiopia. The study offers maps that can guide the targeted interventions necessary to contain the spread of COVID-19 in Ethiopia.

Risk factors for COVID-19 infection, disease severity and related deaths in Africa: a systematic review.

OBJECTIVE: The aim of this study was to provide a comprehensive evidence on risk factors for transmission, disease severity and COVID-19 related deaths in Africa. DESIGN: A systematic review has been conducted to synthesise existing evidence on risk factors affecting COVID-19 outcomes across Africa. DATA SOURCES: Data were systematically searched from MEDLINE, Scopus, MedRxiv and BioRxiv. ELIGIBILITY CRITERIA: Studies for review were included if they were published in English and reported at least one risk factor and/or one health outcome. We included all relevant literature published up until 11 August 2020. DATA EXTRACTION AND SYNTHESIS: We performed a systematic narrative synthesis to describe the available studies for each outcome. Data were extracted using a standardised Joanna Briggs Institute data extraction form. RESULTS: Fifteen articles met the inclusion criteria of which four were exclusively on Africa and the remaining 11 papers had a global focus with some data from Africa. Higher rates of infection in Africa are associated with high population density, urbanisation, transport connectivity, high volume of tourism and international trade, and high level of economic and political openness. Limited or poor access to healthcare are also associated with higher COVID-19 infection rates. Older people and individuals with chronic conditions such as HIV, tuberculosis and anaemia experience severe forms COVID-19 leading to hospitalisation and death. Similarly, high burden of chronic obstructive pulmonary disease, high prevalence of tobacco consumption and low levels of expenditure on health and low levels of global health security score contribute to COVID-19 related deaths. CONCLUSIONS: Demographic, institutional, ecological, health system and politico-economic factors influenced the spectrum of COVID-19 infection, severity and death. We recommend multidisciplinary and integrated approaches to mitigate the identified factors and strengthen effective prevention strategies.

Maternal autonomy and birth registration in India: Who gets counted?

This paper examines the effect of maternal socio-economic status in the household, such as their autonomy, ability, freedom and bargaining power, on child birth registration in India using the nationally representative India Human Development Survey-II (IHDS-II), 2011-12. We have estimated a multilevel mixed effects model which accounts for the hierarchical structure of the data and allows us to examine the effects of unobserved 'district' and 'community' characteristics along with individual child level characteristics on probability of birth registration. The results show that between-districts and between individuals differences share a considerably high and an almost equal proportion of the variations in probability of birth registration in India. At individual child level, mother's socio-economic status such as her ability to move around independently and her exposure to outside world, significantly raise the probability of birth registration. More importantly, the marginal effects of the maternal autonomy indicators: mother's ability to move around freely and her control over resources, on birth registration vary across districts in India. Other variables such as institutional birth, mother's antenatal care seeking behaviour, caste, religion, household wealth and parental education are significant determinants of birth registration.

Child Schooling in Ethiopia: The Role of Maternal Autonomy.

This paper examines the effects of maternal autonomy on child schooling outcomes in Ethiopia using a nationally representative Ethiopian Demographic and Health survey for 2011. The empirical strategy uses a Hurdle Negative Binomial Regression model to estimate years of schooling. An ordered probit model is also estimated to examine age grade distortion using a trichotomous dependent variable that captures three states of child schooling. The large sample size and the range of questions available in this dataset allow us to explore the influence of individual and household level social, economic and cultural factors on child schooling. The analysis finds statistically significant effects of maternal autonomy variables on child schooling in Ethiopia. The roles of maternal autonomy and other household-level factors on child schooling are important issues in Ethiopia, where health and education outcomes are poor for large segments of the population.