Disparity in maternal, newborn and child health services in high focus states in India: a district-level cross-sectional analysis

Maternal healthcare use by women with disabilities in Rajasthan, India: a secondary analysis of the Annual Health Survey

BACKGROUND

Women with disabilities face a number of barriers when accessing reproductive health services, including maternal healthcare. These include physical inaccessibility, high costs, transportation that is not accessible, negative attitudes from family and healthcare providers, and a societal belief people with disabilities shouldn't be parents. While qualitative studies have uncovered these barriers, there is limited quantitative research to determine their effect on use of maternal health services. This study aims to analyze associations between disability and maternal healthcare use among married women in Rajasthan.

METHODS

This study is a secondary analysis of the Indian Annual Heath Survey first wave data from 2011. The sample includes 141,983 women aged 15-49 who had given birth between 2007 and 2009. Logistic regression was used to assess the association between disability and use of antenatal, delivery, and postnatal care. Stratified models were created to analyze difference based on birth order of the pregnancy and whether the woman's place of residence is rural or urban.

RESULTS

The prevalence of disability was 1.23%. Attending at least three antenatal care visits was reported by 50.66% of the sample, skilled delivery use by 83.81%, and receiving postnatal care within 48 h of birth by 76.02%. In the regression model, women with disabilities were less likely to report attending the minimum antenatal care visits (OR = 0.84; CI: 0.76, 0.92). No association was found between disability and skilled delivery or postnatal care. Once the sample was stratified by birth order, women with disabilities reporting their first birth were more likely to report receiving postnatal care than women without disabilities (OR = 1.47; CI: 1.13, 1.91).

CONCLUSION

Additional research is needed to determine use of maternal healthcare among women with disabilities in India. Maternal services need to be assessed to determine their accessibility, especially regarding recent laws requiring accessibility.

Global achievement of maternal health-related sustainable development goals targets among women exposed to intimate partner violence

Health-related Sustainable Development Goal (SDG 3) aims to ensure healthy lives. This study investigates the influence of Intimate Partner Violence (IPV) on achieving maternal health related SDG3 targets among exposed women globally.

METHODOLOGY

This study used secondary data analysis of Domestic Violence Modules from the latest Demographic and Health Surveys (DHS) of 40 countries. IPV was defined by women ever exposed to emotional, physical, severe, or sexual violence from the spouse. Achieving maternal health related SDG3 targets among women was measured by: Proportion of births attended by skilled health personnel; Antenatal care (women received antenatal care eight or more times from any provider); and the need for family planning satisfied with modern methods. The influence of IPV was estimated through adjusted OR after controlling for socioeconomic factors using logistic regression.

RESULTS

Exposure to IPV was among one-third of the women (37%) mainly physical (29%) and emotional (24%). Adjusted OR with 95%CI for the influence of IPV on women's utilization of skilled birth attendants was 0.81 (0.79-0.83)); having eight or more antenatal care visits 0.61 (0.59-0.63); and the needs for family planning with modern methods satisfied was 0.85 (0.83-0.87). Achievement of maternal health services was among 57% of the women. Women exposed to IPV were less to achieve maternal health services (50% VS 61%) with adjusted OR 0.71; 95%CI: 0.70-0.73 and it was not confounded by the positive effect of socioeconomic factors.

CONCLUSION & RECOMMENDATION

Exposure to IPV had a statistically significant negative influence on all the maternal health related SDG3 services among women. Programs working in facilitating the achievement of the SDGs related maternal health targets should include prevention of women's exposure to IPV and support for those who are exposed to it.

Disparities and determinants of maternal health services utilization among women in poverty-stricken rural areas of China: a cross-sectional study

BACKGROUND

Reducing maternal mortality ratio (MMR) has been a worldwide public health challenge for a long time. Utilization of maternal health services including antenatal care (ANC), institutional delivery (ID), and postnatal care (PNC) is vital to prevent maternal mortality. China has made significant improvements in maternal health during the past 30 years, however, disparities in maternal health service utilization still exist among regions and the western rural areas had the lowest utilization rate. This study aims to assess the inequality and determinants of maternal health service utilization in western poverty-stricken rural areas based on Anderson's Behavioral Model of Health Service Use and provide evidence-based suggestions to improve equity and coverage of maternal service utilization in China.

METHODS

A cross-sectional study was conducted in Gansu and Yunnan Province, Western China using primary data (n = 996) collected by the research team. A multistage, judgment, quota sampling procedure was employed to select the participants of the survey. Trained local health staff formed an interview team to help respondents answer a structured, pre-tested questionnaire designed based on Anderson's model. Data collected through interviews were used for descriptive analysis, range analysis, and univariate and multivariate binary logistic analysis to identify influencing factors of 5 + ANC, 8 + ANC, ID, and 2 + PNC utilization.

RESULTS

Place of residence, age, education level, annual income, and health education during ANC were influencing factors of 5 + ANC; place of residence, education level, per capita household income, conditional cash transfer (CCT) participation, and distance to health facilities were influencing factors of 8 + ANC; place of residence, education level, and availability of financial incentive programs were influencing factors of ID; number of children, health education during ANC, CCT projects participation, and self-rated health status were influencing factors of 2 + PNC.

CONCLUSIONS

Inequalities in maternal service utilization exist between Yunnan and Gansu provinces. This study shows a strong association between both predisposing and enabling factors and maternal services utilization. Predisposing factors such as place of residence, education level, and number of children, enabling factors such as CCT participation, annual income, health education during ANC, and distance to health facilities along with need factor self-rated health status all contribute to maternal services utilization. We conclude that many factors influence maternal service utilization and interventions targeted at various levels should be considered. Therefore, we suggest more health resources should be invested in underutilized areas, financial incentive projects targeting pregnant women should be implemented, and health education should be provided to improve women's health literacy.

Measurement and mapping of maternal health service coverage through a novel composite index: a sub-national level analysis in India

BACKGROUND

Expansion of maternal health service coverage is crucial for the survival and wellbeing of both mother and child. To date, limited literature exists on the measurement of maternal health service coverage at the sub-national level in India. The prime objectives of the study were to comprehensively measure the maternal health service coverage by generating a composite index, map India by categorizing it into low, medium and high zones and examine its incremental changes over time.

METHODS

Utilising a nationally representative time series data of 15 key indicators spread across three domains of antenatal care, intranatal care and postnatal care, we constructed a novel 'Maternal Health Service Coverage Index' (MHSI) for 29 states and 5 union territories of India for the base (2017-18) and reference (2019-20) years. Following a rigorous procedure, MHSI scores were generated using both arithmetic mean and geometric mean approaches. We categorized India into low, medium and high maternal health service coverage zones and further generated geospatial maps to examine the extent and transition of maternal health service coverage from base to reference year.

RESULTS

India registered the highest mean percentage coverage (93.7%) for 'institutional delivery' and the lowest for 'treatment for obstetric complications' (9.3%) among all the indicators. Depending on the usage of arithmetic mean and geometric mean approaches, the maternal health service coverage index score for India exhibited marginal incremental change (between 0.015-0.019 index points) in the reference year. West zone exhibited an upward transition in the coverage of maternal health service indicators, while none of the zones recorded a downward movement. The states of Mizoram (east zone) and the Union Territory of Puducherry (south zone) showed a downward transition. Union territories of Dadra & Nagar Haveli (west zone) and Chandigarh (north zone), along with the states of Maharashtra (west zone), Assam, as well as Jharkhand (both from the east & north east zone), showed upward transition.

CONCLUSION

Overall, maternal health service coverage is increasing across India. Our study offers a novel summary measure to comprehensively quantify the coverage of maternal health services, which can momentously help India identify lagged indicators and low performing regions, thereby warranting the targeted interventions and concentrated programmatic efforts to bolster the maternal health service coverage at the sub-national level.

Association between timing and type of postnatal care provided with neonatal mortality: A large scale study from India

Objectives

This study examines the association between quality Postnatal Care (PNC) considering timing and providers’ type on neonatal mortality. The aim extends to account for regional disparities in service delivery and mortality including high and non-high focus states.

Methods

Ever-married women aged 15–49 years (1,87,702) who had delivered at least one child in five years preceding the survey date surveyed in National Family Health Survey (2015–16) were included in the study. Neonatal deaths between day two and seven and neonatal deaths between day two and twenty-eight were considered dependent variables. Descriptive statistics and multivariate regression analysis were conducted.

Results

Chances of early neonatal mortality were 29% (OR = 0.71; 95%CI: 0.59–0.84) among newborns receiving PNC within a day compared to ones devoid of it while 40% (OR: 0.60; 95%CI: 0.51–0.71) likelihood for the same was noted if PNC was delivered within a week. Likelihood of neonatal mortality decreased by 24% (OR: 0.76; 95%CI: 0.65–0.88) when skilled PNC was delivered within 24 hours. Receiving quality PNC by skilled providers within a day in a non-high focus state decreased the chances of neonatal mortality by 26% (OR: 0.74; 95%CI: 0.59–0.92) compared to ones who did not receive any PNC.

Conclusions

Neonatal deaths were significantly associated with socioeconomic and contextual characteristics including age, education, household wealth, social group and region. Timing of PNC delivered and by a skilled healthcare provider was found significant in reducing neonatal mortality.

Are High-Altitude Residents More Susceptible to Covid-19 in India? Findings and Potential Implications for Research and Policy

In this paper, we study the incidence of COVID-19 and the associated fatality with altitude using high frequency, district level data from India. To understand the implications of the nationwide lockdown after the outbreak, we use data for about four months- two from the lockdown period starting from March 25 till May 31, 2020 and about two months after unlocking was initiated (June 1-July 26, 2020). The multivariate regression result indicates slower growth in average rate of infection during the lockdown period in hilly regions, the gains of which attenuated after the unlocking was initiated. Despite these early gains, the rate of fatalities is significantly higher during the lockdown period in comparison to the plains. The findings remain robust to multiple alternative specifications and methods including one that accounts for confounding possibilities via unobservable and provides consistent estimates of bias adjusted treatment effects. The evidence supports the need for provisioning of public health services and infrastructure upgradation, especially maintenance of adequate stock of life support devices, in high altitude regions. It also underscores the necessity for strengthening and revising the existing Hill Areas Development Programme and integrating important aspects of public health as part of this policy.

Are the Poor Catching Up with the Rich in Utilising Reproductive, Maternal, New Born and Child Health Services: An Application of Delivery Channels Framework in Indian Context

The article is aimed to assess trends in wealth-related inequalities in coverage of reproductive, maternal, neonatal and child health (RMNCH) interventions using delivery channels framework in Indian context, at national level as well as at state level—Tamil Nadu (TN) and Chhattisgarh (CG)—a better off and poorer state, respectively. We used National Family Health Survey—3rd (2005–2006) and 4th (2015–2016) to study the trends and differentials of inequalities in the RMNCH coverage. We have used two summary indices—absolute inequalities using the slope index of inequality (SII) and relative inequalities using the concentration index (CIX). Culturally driven interventions had pro-poor inequalities in TN, CG and in India, but the coverage has improved significantly for the women from wealthier households recently. Environmental interventions were highly inequal in distribution, particularly for the ‘use of clean fuels’. Inequalities in the coverage of health facilities-based interventions has reduced in TN, CG and overall India, but more so in TN. The inequalities in coverage of community-based interventions have reduced over the period of ten years in TN, CG as well as at national level. Adopting RMNCH delivery channel framework could be useful for assessing and monitoring the progress of public health programmes. Policy makers can gain insights from the success of coverage of various interventions and determine specific implementation strategies to reduce inequalities in the coverage and its effectiveness.

Implementation of a large-scale breast cancer early detection program in a resource-constrained setting: real-world experiences from 2 large states in India

Background

The Breast Health Initiative (BHI) was launched to demonstrate a scalable model to improve access to early diagnosis and treatment of breast cancer.

Methods

A package of evidence‐based interventions was codesigned and implemented with the stakeholders, as part of the national noncommunicable disease program, through the existing primary health care system. Data from the first 18 months of the BHI are presented.

Results

A total of 108,112 women received breast health education; 48% visited the health facilities for clinical breast examination (CBE), 3% had a positive CBE result, and 41% were referred to a diagnostic facility. The concordance of CBE findings between health care providers and adherence to follow‐up care improved considerably, with more women visiting the diagnostic facilities and completing diagnostic evaluation within 1 month from initial screening, and with only 9% lost to follow‐up. The authors observed a clinically meaningful decrease in time to complete diagnostic evaluation with biopsy, from 37 to 9 days.

Conclusions

The results demonstrate the feasibility and effectiveness of implementing a large‐scale, decentralized breast cancer early detection program delivered through the existing primary health care system in India.

This article presents the key strategies, interventions, and results from the first 18 months of the large‐scale, decentralized breast cancer early detection program in a real‐world setting in India.

Inequity in health care utilization for common childhood illnesses in India: measurement and decomposition analysis using the India demographic and health survey 2015-16

BACKGROUND

Though child mortality has dropped remarkably, it is considerably high in South Asia. Across the globe, 5.2 million children under 5 years of age died in 2019, and India accounts for a significant portion of these deaths. Common childhood illnesses are the leading cause of these deaths. Seeking care from formal providers can reduce these avoidable deaths. Inequity is a crucial blockage in optimum utilization of medical treatment for children. Hence, the present study analyzes the inequalities and horizontal inequities in utilizing the medical treatment for diarrhea, fever, acute respiratory infection (ARI), and any of these common childhood illnesses in India and across the Indian states. The study also attempts to locate significant contributors to these inequalities.

METHODS

The study used 0 to 59 months children's data sourced from the Demographic and Health Survey, India (2015-16). Concentration Index (CI) and Erreygers Corrected Concentration Index (EI) were used to measure the inequalities. The Horizontal Inequity Index (HII) was deployed to estimate inequity. The decomposition method introduced by Erreygers was applied to determine the significant contributors of inequalities.

RESULTS

The EI in medical treatment-seeking for common childhood illnesses was 0.16, while the HII was 0.15. The highest inequality was perceived in the utilization of medical treatment for ARI (0.17). The primary contributing factors of these inequalities were continuum of maternal care (18.7%), media exposure (12%), affordability (9.3%), place of residence (9.1%), mother's education (8.5%), and state groups (8.8%). The North-Eastern states showed the highest level of inequality across the Indian states.

CONCLUSION

The study reveals that the horizontal inequity in medical treatment utilization for children in India is pro-rich. The findings of the study suggest that attuning the efforts of existing maternal and child health programs into one seamless chain of care can bring the inequalities down and improve the utilization of child health care services. The spread of health education through different media sources, reaching out to rural and remote places with adequate health personnel, and easing out the financial hardship in accessing medical treatment could be the cornerstone in accelerating the utilization level amongst the impoverished children.

Horizontal inequity in self-reported morbidity and untreated morbidity in India: Evidence from National Sample Survey Data

BACKGROUND

Health outcomes in India are characterized by pervasive inequities due to deeply entrenched socio-economic gradients amongst the population. Therefore, it is imperative to investigate these systematic disparities in health, however, evidence of inequities does not commensurate with its policy objectives in India. Thus, our paper aims to examine the magnitude of and trends in horizontal inequities in self-reported morbidity and untreated morbidity in India over the period of 2004 to 2017-18.

METHODS

The study used cross-sectional data from nationwide healthcare surveys conducted in 2004, 2014 and 2017-18 encompassing sample size of 3,85,055; 3,35,499 and 5,57,887 individuals respectively. Erreygers concentration indices were employed to discern the magnitude and trend in horizontal inequities in self-reported morbidity and untreated morbidity. Need standardized concentration indices were further used to unravel the inter-regional and intra-regional income related inequities in outcomes of interest. Additionally, regression based decomposition approach was applied to ascertain the contributions of both legitimate and illegitimate factors in the measured inequalities.

RESULTS

Estimates were indicative of profound inequities in self-reported morbidity as inequity indices were positive and significant for all study years, connoting better-off reporting more morbidity, given their needs. These inequities however, declined marginally from 2004(HI: 0.049, p< 0.01) to 2017-18(HI: 0.045, P< 0.01). Untreated morbidity exhibited pro-poor inequities with negative concentration indices. Albeit, significant reduction in horizontal inequity was found from 2004(HI= - 0.103, p< 0.01) to 2017-18(HI = - 0.048, p< 0.01) in treatment seeking over the years. The largest contribution of inequality for both outcomes stemmed from illegitimate variables in all the study years. Our findings also elucidated inter-state heterogeneities in inequities with high-income states like Andhra Pradesh, Kerala and West Bengal evincing inequities greater than all India estimates and Northeastern states divulged equity in reporting morbidity. Inequities in untreated morbidity converged for most states except in Punjab, Chhattisgarh and Himachal Pradesh where widening of inequities were observed from 2004 to 2017-18.

CONCLUSIONS

Pro-rich and pro-poor inequities in reported and untreated morbidities respectively persisted from 2004 to 2017-18 despite reforms in Indian healthcare. Magnitude of these inequities declined marginally over the years. Health policy in India should strive for targeted interventions closing inequity gap.

The knowledge of danger signs of obstetric complications among women in rural India: evaluating an integrated microfinance and health literacy program

BACKGROUND

Maternal mortality can be prevented in low-income settings through early health care seeking during maternity complications. While health system reforms in India prioritised institutional deliveries, inadequate antenatal and postnatal services limit the knowledge of danger signs of obstetric complications to women, which delays the recognition of complications and seeking appropriate health care. Recently, a novel rapidly scalable community-based program combining maternal health literacy delivery through microfinance-based women-only self-help groups (SHG) was implemented in rural India. This study evaluates the impact of the integrated microfinance and health literacy (IMFHL) program on the knowledge of maternal danger signs in marginalised women from one of India's most populated and poorer states - Uttar Pradesh. Additionally, the study evaluates the presence of a diffusion effect of the knowledge of maternal danger signs from SHG members receiving health literacy to non-members in program villages.

METHODS

Secondary data from the IMFHL program comprising 17,232 women from SHG and non-member households in rural Uttar Pradesh was included. Multivariate logistic regression models were used to identify the program's effects on the knowledge of maternal danger signs adjusting for a comprehensive range of confounders at the individual, household, and community level.

RESULTS

SHG member women receiving health literacy were 27% more likely to know all danger signs as compared with SHG members only. Moreover, the results showed that the SHG network facilitates diffusion of knowledge of maternal danger signs from SHG members receiving health literacy to non-members in program villages. The study found that the magnitude of the program impact on outcome remained stable even after controlling for other confounding effects suggesting that the health message delivered through the program reaches all women uniformly irrespective of their socioeconomic and health system characteristics.

CONCLUSIONS

The findings can guide community health programs and policy that seek to impact maternal health outcomes in low resource settings by demonstrating the differential impact of SHG alone and SHG plus health literacy on maternal danger sign knowledge.

Impact of socio-demographic variables on antenatal services in eastern Uttar Pradesh, India

We investigated the impact of socio-demographic variables on antenatal care (ANC) utilization and the low birth weight of a child. Data were collected from 300 pregnant females. Only 22.5% of females received full antenatal care (≥4 visits). Our results showed that female's age at marriage and education plays a significant role in improving ANC. We observed an overall decrease in the utilization of services provided during each antenatal visit. ANC visits from the first trimester decrease the risk of having a baby with low birth weight. Awareness programs and educating families about pregnancy care are recommended to improve ANC utilization.

Subnational mapping of under-5 and neonatal mortality trends in India: the Global Burden of Disease Study 2000-17

BACKGROUND

India has made substantial progress in improving child survival over the past few decades, but a comprehensive understanding of child mortality trends at disaggregated geographical levels is not available. We present a detailed analysis of subnational trends of child mortality to inform efforts aimed at meeting the India National Health Policy (NHP) and Sustainable Development Goal (SDG) targets for child mortality.

METHODS

We assessed the under-5 mortality rate (U5MR) and neonatal mortality rate (NMR) from 2000 to 2017 in 5 × 5 km grids across India, and for the districts and states of India, using all accessible data from various sources including surveys with subnational geographical information. The 31 states and groups of union territories were categorised into three groups using their Socio-demographic Index (SDI) level, calculated as part of the Global Burden of Diseases, Injuries, and Risk Factors Study on the basis of per-capita income, mean education, and total fertility rate in women younger than 25 years. Inequality between districts within the states was assessed using the coefficient of variation. We projected U5MR and NMR for the states and districts up to 2025 and 2030 on the basis of the trends from 2000 to 2017 and compared these projections with the NHP 2025 and SDG 2030 targets for U5MR (23 deaths and 25 deaths per 1000 livebirths, respectively) and NMR (16 deaths and 12 deaths per 1000 livebirths, respectively). We assessed the causes of child death and the contribution of risk factors to child deaths at the state level.

FINDINGS

U5MR in India decreased from 83·1 (95% uncertainty interval [UI] 76·7-90·1) in 2000 to 42·4 (36·5-50·0) per 1000 livebirths in 2017, and NMR from 38·0 (34·2-41·6) to 23·5 (20·1-27·8) per 1000 livebirths. U5MR varied 5·7 times between the states of India and 10·5 times between the 723 districts of India in 2017, whereas NMR varied 4·5 times and 8·0 times, respectively. In the low SDI states, 275 (88%) districts had a U5MR of 40 or more per 1000 livebirths and 291 (93%) districts had an NMR of 20 or more per 1000 livebirths in 2017. The annual rate of change from 2010 to 2017 varied among the districts from a 9·02% (95% UI 6·30-11·63) reduction to no significant change for U5MR and from an 8·05% (95% UI 5·34-10·74) reduction to no significant change for NMR. Inequality between districts within the states increased from 2000 to 2017 in 23 of the 31 states for U5MR and in 24 states for NMR, with the largest increases in Odisha and Assam among the low SDI states. If the trends observed up to 2017 were to continue, India would meet the SDG 2030 U5MR target but not the SDG 2030 NMR target or either of the NHP 2025 targets. To reach the SDG 2030 targets individually, 246 (34%) districts for U5MR and 430 (59%) districts for NMR would need a higher rate of improvement than they had up to 2017. For all major causes of under-5 death in India, the death rate decreased between 2000 and 2017, with the highest decline for infectious diseases, intermediate decline for neonatal disorders, and the smallest decline for congenital birth defects, although the magnitude of decline varied widely between the states. Child and maternal malnutrition was the predominant risk factor, to which 68·2% (65·8-70·7) of under-5 deaths and 83·0% (80·6-85·0) of neonatal deaths in India could be attributed in 2017; 10·8% (9·1-12·4) of under-5 deaths could be attributed to unsafe water and sanitation and 8·8% (7·0-10·3) to air pollution.

INTERPRETATION

India has made gains in child survival, but there are substantial variations between the states in the magnitude and rate of decline in mortality, and even higher variations between the districts of India. Inequality between districts within states has increased for the majority of the states. The district-level trends presented here can provide crucial guidance for targeted efforts needed in India to reduce child mortality to meet the Indian and global child survival targets. District-level mortality trends along with state-level trends in causes of under-5 and neonatal death and the risk factors in this Article provide a comprehensive reference for further planning of child mortality reduction in India.

FUNDING

Bill & Melinda Gates Foundation; and Indian Council of Medical Research, Department of Health Research, Ministry of Health and Family Welfare, Government of India.

Setting priorities in child health research in India for 2016-2025: a CHNRI exercise undertaken by the Indian Council for Medical Research and INCLEN Trust

Background

Millennium Development Goal 4 (MDGs) mobilised countries to reduce child mortality by two thirds the 1990 rate in 2015. While India did not reach MDG 4, it considerably reduced child mortality in the MDG-era. Efficient and targeted interventions and adequate monitoring are necessary to further progress in improvements to child health. Looking forward to the Sustainable Development Goal (SDG)-era, the Indian Council of Medical Research and The INCLEN Trust International conducted a national research priority setting exercise for maternal, child, newborn health, and maternal and child nutrition. Here, results are reported for child health.

Methods

The Child Health and Nutrition Research Initiative (CHNRI) method for research priority setting was employed. Research ideas were crowd-sourced from a network of child health experts from across India; these were refined and consolidated into research options (ROs) which were scored against five weighted criteria to arrive weighted Research Priority Scores (wRPS). National and regional priority lists were prepared.

Results

90 experts contributed 596 ideas that were consolidated into 101 research options (ROs). These were scored by 233 experts nationwide. National wRPS for ROs ranged between 0.92 and 0.51. The majority of the top research priorities related to development of cost-effective interventions and their implementation, and impact evaluations, improving data quality; and monitoring of existing programs, or improving the management of morbidities. The research priorities varied between regions, the Economic Action Group and North-Eastern states prioritised questions relating to delivering interventions at community- or household-level, whereas the North-Eastern states and Union Territories prioritised research questions involving managing and measuring malaria, and the Southern and Western states prioritised research questions involving pharmacovigilance of vaccines, impact of newly introduced vaccines, and delivery of vaccines to hard-to-reach populations.

Conclusions

Research priorities varied geographically, according the stage of development of the area and mostly pertained to implementation sciences, which was expected given diversity in epidemiological profiles. Priority setting should help guide investment decisions by national and international agencies, therefore encouraging researchers to focus on priority areas. The ICMR has launched a grants programme for implementation research on maternal and child health to pursue research priorities identified by this exercise.

District level inequality in reproductive, maternal, neonatal and child health coverage in India

Background

As India already missed maternal and child health related millennium development goals, the maternal and child health outcomes are a matter of concern to achieve sustainable development goals (SDGs). This study is focused to assess the gap in coverage and inequality of various reproductive, maternal, neonatal and child health (RMNCH) indicators in 640 districts of India, using data from most recent round of National Family Health Survey.

Methods

A composite index named Coverage Gap Index (CGI) was calculated, as the weighted average of eight preventive maternal and child care interventions at different administrative levels. Bivariate and spatial analysis were used to understand the geographical diversity and spatial clustering in districts of India. A socio-economic development index (SDI) was also derived and used to assess the interlinkages between CGI and development. The ratio method was used to assess the socio-economic inequality in CGI and its component at the national level.

Results

The average national CGI was 26.23% with the lowest in Kerala (10.48%) and highest in Nagaland (55.07%). Almost half of the Indian districts had CGI above the national average and mainly concentrated in high focus states and north-eastern part. From the geospatial analysis of CGI, 122 districts formed hotspots and 164 districts were in cold spot. The poorest households had 2.5 times higher CGI in comparison to the richest households and rural households have 1.5 times higher CGI as compared to urban households.

Conclusion

Evidence from the study suggests that many districts in India are lagging in terms of CGI and prioritize to achieve the desired level of maternal and child health outcomes. Efforts are needed to reduce the CGI among the poorest and rural resident which may curtail the inequality.

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.

Exploring the Concept of Degrees of Maternal Morbidity as a Tool for Surveillance of Maternal Health in Latin American and Caribbean Settings

Objectives

To assess a birth registry to explore maternal mortality and morbidity and their association with other factors.

Study Design

Exploratory multicentre cross-sectional analysis with over 700 thousand childbirths from twelve Latin American and Caribbean countries between 2009 and 2012. The WHO criteria for maternal morbidity were employed to split women, following a gradient of severity of conditions, into (1) maternal death (MD); (2) maternal near miss (MNM); (3) potentially life-threatening conditions (PLTC); (4) less severe maternal morbidity (LSMM); (5) any maternal morbidity; and (6) women with no maternal morbidity. Their prevalence and estimated risks of adverse maternal outcomes were assessed.

Results

712,081 childbirths had a prevalence of MD and MNM of 0.14% and 3.1%, respectively, while 38% of women had experienced morbidity. Previous maternal morbidity was associated with higher risk of adverse maternal outcomes and also the extremes of reproductive ages, nonwhite ethnicity, no stable partner, no prenatal care, smoking, drug and alcohol use, elective C-section, or induction of labour. Poorer perinatal outcomes were proportional to the severity of maternal outcomes.

Conclusions

The findings corroborate WHO concept regarding continuum of maternal morbidity, reinforcing its importance in preventing adverse maternal outcomes and improving maternal healthcare in different settings.

Differential effects of community health worker visits across social and economic groups in Uttar Pradesh, India: a link between social inequities and health disparities

BACKGROUND

Uttar Pradesh (UP) accounts for the largest number of neonatal deaths in India. This study explores potential socio-economic inequities in household-level contacts by community health workers (CHWs) and whether the effects of such household-level contacts on receipt of health services differ across populations in this state.

METHODS

A multistage sampling design identified live births in the last 12 months across the 25 highest-risk districts of UP (N = 4912). Regression models described the relations between household demographics (caste, religion, wealth, literacy) and CHW contact, and interactions of demographics and CHW contact in predicting health service utilization (> = 4 antenatal care (ANC) visits, facility delivery, modern contraceptive use).

RESULTS

No differences were found in likelihood of CHW contact based on caste, religion, wealth or literacy. Associations of CHW contact with receipt of ANC and facility delivery were significantly affected by religion, wealth and literacy. CHW contact increased the odds of 4 or more ANC visits only among non-Muslim women, increased the odds of both four or more ANC visits and facility delivery only among lower wealth women, increased the odds of facility delivery to a greater degree among illiterate vs. literate women.

CONCLUSION

CHW visits play a vital role in promoting utilization of critical maternal health services in UP. However, significant social inequities exist in associations of CHW visits with such service utilization. Research to clarify these inequities, as well as training for CHWs to address potential biases in the qualities or quantity of their visits based on household socio-economic characteristics is recommended.

Trends, prospects and deprivation index of disability in India: Evidences from census 2001 and 2011

BACKGROUND

Since the dawn of civilization, disabilities have existed in various dimensions of human life. World Health Organization (WHO) defines disability as an umbrella term, covering impairments, activity limitations, and participation restrictions. Globally, approximately 1 billion people have some form of disability, and approximately 20% have significant functioning impairments.

OBJECTIVE

This study aims to estimate the level, trends and prospects of disability in 640 districts of India. Data for the present study has been taken from Census of India, 2001 and 2011.

METHODS

A Disability Index was calculated at the district level, and state level indexing was done using the Disability Deprivation Index. The population for the year 2021 was projected using the exponential growth rate method. The Disability Deprivation Index was calculated using child labor, adult unemployment, illiteracy, and the ratio of beggars in the disabled population.

RESULTS

The study reveals that the proportion of the disabled population in India was 2.10% in 2001, which increased to 2.21% in 2011. According to the Disability Deprivation Index, Maharashtra was the best-performing state in 2011. There were 4.90 million new cases of disability in India during 2001-11, out of which 1.52 million cases belonged to non-congenital disability.

CONCLUSIONS

There is a rise in the disabled population in India, which needs special attention. The working status of the disabled is gloomy. The majority of the disabled people are non-working and need adequate rehabilitation measures that would facilitate employment.