Barriers and prospects of India's conditional cash transfer program to promote institutional delivery care: a qualitative analysis of the supply-side perspectives

Disparity by caste and tribe: Understanding women's empowerment and health outcomes in India

AIM

Women's empowerment status varies greatly in India according to caste, class, ethnicity and region. This paper aims to investigate the caste/tribe disparity in women's empowerment by region, the main correlates of each domain of empowerment, and the association of women's empowerment with nutritional and health care access outcomes, specifically anaemia, menstrual hygiene, and institutional delivery.

METHODOLOGY

Using National Family Health Survey-5 (2019-2021) data, we have created a modified survey-based women's empowerment index (SWPER) using principal component analysis with Oblique varimax rotation. The first four components are interpreted as an attitude to violence, freedom of movement, decision-making power and social independence. Several multivariate regression models were used to understand the factor associated with empowerment and the association of women's empowerment with different health outcomes.

RESULTS

The results indicate that women from the forward castes are the most empowered in most domains except decision-making. However, after controlling other background variables, the forward castes women are found to be the most empowered in attitude to violence, whereas Scheduled Castes and Scheduled Tribes women were found to be the most empowered women in decision-making. With regards to social independence, deprived castes women are more empowered than the forward castes women. The likelihood of empowerment in social independence domain increases with increasing wealth. There are wide regional variations in empowerment level between different social groups. Caste/tribe identity plays a significant role in determining health outcomes in India. Among all empowerment domains, social independence emerges as the most significant associated factor with improved health across all caste/tribe groups.

CONCLUSION

The path to women's empowerment in India must recognize the intersectionality of caste/tribe identities, and address regional disparities. Social independence emerges as a critical determinant across all caste/tribe groups for improving health. Measures should be taken to empower women through the underlying factors of social independence.

Achieving MDG of reducing maternal mortality ratio: A comparative study of selected South Asian countries

Reducing the maternal mortality ratio (MMR) by three quarters by 2015 was one of the major Millennium Development Goals (MDGs). I performed a comparative study of policy tools and outcomes for reducing the MMR in five major South Asian Countries-Bangladesh, India, Nepal, Pakistan, and Sri Lanka. I observed that countries with a greater focus on achieving gender parity and equal health access and having specific healthcare policies to promote maternal care were more successful in achieving the MDG of reducing the MMR. Thus, any healthcare policy targeting women should also consider gender parity and women empowerment policies of a country.

Stock-outs of essential medicines among community health workers (CHWs) in low- and middle-income countries (LMICs): a systematic literature review of the extent, reasons, and consequences

BACKGROUND

This paper explores the extent of community-level stock-out of essential medicines among community health workers (CHWs) in low- and middle-income countries (LMICs) and identifies the reasons for and consequences of essential medicine stock-outs.

METHODS

A systematic review was conducted and reported in line with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Five electronic databases were searched with a prespecified strategy and the grey literature examined, January 2006-March 2021. Papers containing information on (1) the percentage of CHWs stocked out or (2) reasons for stock-outs along the supply chain and consequences of stock-out were included and appraised for risk of bias. Outcomes were quantitative data on the extent of stock-out, summarized using descriptive statistics, and qualitative data regarding reasons for and consequences of stock-outs, analyzed using thematic content analysis and narrative synthesis.

RESULTS

Two reviewers screened 1083 records; 78 evaluations were included. Over the last 15 years, CHWs experienced stock-outs of essential medicines nearly one third of the time and at a significantly (p < 0.01) higher rate than the health centers to which they are affiliated (28.93% [CI 95%: 28.79-29.07] vs 9.17% [CI 95%: 8.64-9.70], respectively). A comparison of the period 2006-2015 and 2016-2021 showed a significant (p < 0.01) increase in CHW stock-out level from 26.36% [CI 95%: 26.22-26.50] to 48.65% [CI 95%: 48.02-49.28] while that of health centers increased from 7.79% [95% CI 7.16-8.42] to 14.28% [95% CI 11.22-17.34]. Distribution barriers were the most cited reasons for stock-outs. Ultimately, patients were the most affected: stock-outs resulted in out-of-pocket expenses to buy unavailable medicines, poor adherence to medicine regimes, dissatisfaction, and low service utilization.

CONCLUSIONS

Community-level stock-out of essential medicines constitutes a serious threat to achieving universal health coverage and equitable improvement of health outcomes. This paper suggests stock-outs are getting worse, and that there are particular barriers at the last mile. There is an urgent need to address the health and non-health system constraints that prevent the essential medicines procured for LMICs by international and national stakeholders from reaching the people who need them the most.

Factors Associated with Underutilization of Maternity Health Care Cascade in Mozambique: Analysis of the 2015 National Health Survey

Maternity health care services utilization determines maternal and neonate outcomes. Evidence about factors associated with composite non-utilization of four or more antenatal consultations and intrapartum health care services is needed in Mozambique. This study uses data from the 2015 nationwide Mozambique’s Malaria, Immunization and HIV Indicators Survey. At selected representative households, women (n = 2629) with child aged up to 3 years answered a standardized structured questionnaire. Adjusted binary logistic regression assessed associations between women-child pairs characteristics and non-utilization of maternity health care. Seventy five percent (95% confidence interval (CI) = 71.8–77.7%) of women missed a health care cascade step during their last pregnancy. Higher education (adjusted odds ratio (AOR) = 0.65; 95% CI = 0.46–0.91), lowest wealth (AOR = 2.1; 95% CI = 1.2–3.7), rural residency (AOR = 1.5; 95% CI = 1.1–2.2), living distant from health facility (AOR = 1.5; 95% CI = 1.1–1.9) and unknown HIV status (AOR = 1.9; 95% CI = 1.4–2.7) were factors associated with non-utilization of the maternity health care cascade. The study highlights that, by 2015, recommended maternity health care cascade utilization did not cover 7 out of 10 pregnant women in Mozambique. Unfavorable sociodemographic and economic factors increase the relative odds for women not being covered by the maternity health care cascade.

Gender, nutritional disparities, and child survival in Nepal

BACKGROUND

This paper examines seemingly contradictory evidence from extant research that son preference is high, but male disadvantage in mortality is increasing in Nepal. To do so, we documented the timing, geographic patterning, and extent of gendered patterns in mortality and feeding practices for children under-five.

METHODS

We applied pooled multilevel regression models and survival analysis to five rounds of data from Nepal's nationally representative Demographic and Health Surveys (1996-2016). We controlled for potential sociodemographic confounders, including child, maternal, household, and regional correlates, and disaggregated findings by birth order and sibling gender.

RESULTS

We found evidence of regional variation in mortality, with girls in wealthy urban areas faring the worst in terms of mortality rates. Girls' comparative mortality advantage compared to boys in the neonatal period masks their mortality disadvantage in later periods. Mortality has fallen at a faster rate for boys than girls in most cases, leading to widening of gender inequalities. We also found evidence of female disadvantage in breastfeeding duration, which was linked to higher mortality risks, but no gender disparities in the consumption of other food items. Sibling gender and birth order also mattered for breastfeeding duration: Young girls with older sisters but with no brothers were most disadvantaged.

CONCLUSION

While we did not find evidence of postnatal discrimination in access to solid and semi-solid foods, girls in Nepal face a disadvantage in breastfeeding duration. Girls with older sisters but no older brothers facing the greatest disadvantage, with risks being particularly concentrated for girls aged 1-4 years. This disadvantage is linked to an increased risk of mortality. To address this, community-based health programs could be expanded to continue targeted healthcare for children beyond 12 months of age, with particular focus on nutrition monitoring and health service provision for girls.

A decade of conditional cash transfer programs for reproductive health in India: How did equality fare?

Background

Since 2005, India has implemented conditional cash transfer [CCT] programs to promote the uptake of institutional delivery services [ID]. The study aims to assess changes in wealth-based inequality in the use of ID and other maternal health care services during the first decade of Janani Suraksha Yojana and related CCT programs.

Methods

Data from two Demographic and Health Surveys were used to calculate changes in service inequality from 2005 to 2015–16 in the use of three or more antenatal care [ANC] visits, ID, and postnatal care [PNC]. The changes were assessed at the national level, within high and low performing states [HPS and LPS, respectively] and within urban and rural areas of each state category. Erreygers Index [EI] and Wagstaff Index [WI], superior to concentration index, were used to gain different insights into the nature of inequality. EI is an objective measure of inequality irrespective of prevalence while WI is a combined measure of inequality and the average distribution of an indicator that puts more weight on the poor.

Results

The results suggest that wealth-based inequalities decreased significantly at the national level. For ID, both indices showed a decline in both HPS and LPS though the change in WI in HPS was insignificant. For ANC, there was a significant decrease in inequality using both indices in HPS but not in LPS. For PNC, there was a significant decrease in inequality using both indices in HPS, and when using WI in LPS, but not when using EI in LPS.

Conclusion

Overall, the first decade of India’s CCT programs saw an impressive reduction in EI for ID but less so for WI suggesting that the benefit of CCTs did not go disproportionately to the poor, which suggests that there is a need to reduce or eliminate the evident leakages. The improvement in uptake and inequality in ANC and PNC was not at par with ID, stressing the need to place greater focus on the continuum of care. The urban rural difference in HPS versus LPS in the changes in inequality reveals that infrastructure is important for CCTs to be more effective.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-12563-9.

Impact of socio-economic inequity in access to maternal health benefits in India: Evidence from Janani Suraksha Yojana using NFHS data

BACKGROUND

Caste plays a significant role in Indian society and it influences women to health care access in the community. The implementation of the maternal health benefits scheme in India is biased due to caste identity. In this context, the paper investigates access to Janani Suraksha Yojana (JSY) among social groups to establish that caste still plays a pivotal role in Indian society. Also, this paper aims to quantify the discrimination against Scheduled Castes/Scheduled Tribes (SCs/STs) in accessing JSY.

METHODS

This paper uses a national-level data set of both NFHS-3 (2005-06) and NFHS-4 (2015-16). Both descriptive statistics and the Fairlie decomposition econometric model have been used to measure the explained and unexplained differences in access to JSY between SCs/STs and non-SCs/STs groups.

RESULTS

Overall, the total coverage of JSY in India is still, 36.4%. Further, it is found that 72% of access to JSY is explained by endowment variables. The remaining unexplained percentage (28%) indicates that there is caste discrimination (inequity associated social-discrimination) against SCs/STs in access to JSY. The highest difference (54%) between SCs/STs and non-SCs/STs in access to JSY comes from the wealth quintile, with the positive sign indicating that the gap between the two social groups is widening.

DISCUSSION AND CONCLUSION

It is necessary for the government to implement a better way to counter the caste-based discrimination in access to maternal health benefits scheme. In this regard, ASHA and Anganwadi workers must be trained to reduce the influence of dominant caste groups as well as they must be recruited from the same community to identify the right beneficiaries of JSY and in order to reduce inequity associated with social-discrimination.

Impact of public health programs on maternal and child health services and health outcomes in India: A systematic review

BACKGROUND

In the last two decades, India's central and many state governments launched several public health programs with the goal of improving maternal and child health outcomes. Many individual studies assessed the impact of these programs; however, they focused on select health programs and few specific outcomes.

OBJECTIVES AND METHODS

This paper summarizes the literature, published during 2000-2019, investigating the impacts of public health programs on both the uptake of maternal and child health services and the related-health outcomes in India. We followed PRISMA guidelines of systematic review, and carried out a narrative synthesis of the study findings.

FINDINGS AND CONCLUSION

We found 66 relevant studies covering 11 health programs across India. Most studies had applied non-experimental study designs (n = 50), with few applying experimental (n = 1) and quasi-experimental (n = 15) designs. Most studies (n = 64) assessed the impact on the intermediate outcomes of the uptake of various health services rather on the long-term outcomes of improvement in health. Overall we found studies reporting positive impacts, however, we could not find any strong consensus emerging from these studies about the impact, partly due to differences in: outcome indicators; study designs; study population; data sets. Several studies also reported considerable beneficial impacts among low socioeconomic population groups. However, given that the outreach of the public health programs have been low across the country and population groups, we found that broader objectives of health programs remained unassessed: most studies assessed the impact on who actually participated in the program (average treatment effect on-the-treated) rather on the target population (intent-to-treat effect). Furthermore, there was dearth of research on the impacts of the state-level programs. Future research need to assess the impact of the programs on health outcomes, and on quality adjusted measures of maternal and child health services and its continuum of care.

Regional inequality in the Janani Suraksha Yojana coverage in India: a geo-spatial analysis

Introduction

Although India has made significant progress in institutional delivery after the implementation of the National Rural Health Mission under which the Janani Suraksha Yojana (JSY) is a sub-programme which played a vital role in the increase of institutional delivery in public facilities. Therefore, this paper aims to provide an understanding of the JSY coverage at the district level in India. Further, it tries to carve out the factors responsible for the regional disparity of JSY coverage at district levels.

Methods

The study used the National Family Health Survey data, which is a cross-sectional survey conducted in 2015–16, India. The sample size of this study was 148,145 women aged 15–49 years who gave last birth in the institution during 5 years preceding the survey. Bivariate and multivariate regression analysis was used to fulfill the study objectives. Additionally, Moran’s I statistics and bivariate Local Indicator for Spatial Association (LISA) maps were used to understand spatial dependence and clustering of JSY coverage. Ordinary least square, spatial lag and spatial error models were used to examine the correlates of JSY utilization.

Results

The value of spatial-autocorrelation for JSY was 0.71 which depicts the high dependence of the JSY coverage over districts of India. The overall coverage of JSY in India is 36.4% and it highly varied across different regions, districts, and even socioeconomic groups. The spatial error model depicts that if in a district the women with no schooling status increase by 10% then the benefits of JSY get increased by 2.3%. Similarly, if in a district the women from poor wealth quintile, it increases by 10% the benefits of JSY also increased by 4.6%. However, the coverage of JSY made greater imperative to understand it due to its clustering among districts of specific states only.

Conclusion

It is well reflected in the EAGs states in terms of spatial-inequality in service coverage. There is a need to universalize the JSY programme at a very individual level. And, it is required to revisit the policy strategy and the implementation plans at regional or district levels.

Institutional deliveries in India's nine low performing states: levels, determinants and accessibility

Background

Despite the implementation of several national-level interventions, institutional delivery coverage remains unsatisfactory in India’s low performing states (LPS), leading to a high burden of maternal mortality.

Objective

This study investigates the levels, differentials, and determinants of institutional deliveries in LPS of India. The study also delineates a holistic understanding of barriers to delivery at health facilities and the utilization of the Janani Suraksha Yojana (JSY) specifically designed to improve maternal and child health of disadvantaged communities.

Methods

A cross-sectional study was conducted using data from the National Family Health Survey (NFHS)-4, 2015–16. The study was carried out over India’s nine LPS utilizing 112,518 women who had a living child in the past five years preceding the survey. Bivariate and multivariate regression analysis techniques were used to yield findings.

Results

Of the study sample, nearly three-quarters (74%) of women delivered in a health institution in the study area, with the majority delivered in public health facilities. The multivariate analysis indicates that women who lived in rural areas, belonged to disadvantaged social groups (e.g. Scheduled caste/tribes and Muslims), and those who married early (before 18 years) were less likely to utilize institutional delivery services. On the other hand, women’s education, household wealth, and exposure to mass media were found to be strong facilitators of delivering in a health facility. Meeting with a community health worker (CHW) during pregnancy emerged as an important predictor of institutional delivery in our study. Further, interaction analysis shows that women who reported the distance was a ‘big problem’ in accessing medical care had significantly lower odds of delivering at a health facility.

Conclusions

The study suggests emphasizing the quality of in-facility maternal care and awareness about the importance of reproductive health. Furthermore, strengthening sub-national policies specifically in underperforming states is imperative to improve institutional delivery coverage.

Results-based financing to increase uptake of skilled delivery services in The Gambia: using the 'three delays' model to interpret midline evaluation findings

Background

Delays in accessing skilled delivery services are a major contributor to high maternal mortality in resource-limited settings. In 2015, the government of The Gambia initiated a results-based financing intervention that sought to increase uptake of skilled delivery. We performed a midline evaluation to determine the impact of the intervention and explore causes of delays.

Methods

A mixed methods design was used to measure changes in uptake of skilled delivery and explore underlying reasons, with communities randomly assigned to four arms: (1) community-based intervention, (2) facility-based intervention, (3) community- and facility-based intervention, and (4) control. We obtained quantitative data from household surveys conducted at baseline (n = 1423) and midline (n = 1573). Qualitative data came from semi-structured interviews (baseline n = 20; midline n = 20) and focus group discussions (baseline n = 27; midline n = 39) with a range of stakeholders. Multivariable linear regression models were estimated using pooled data from baseline and midline. Qualitative data were recorded, transcribed, translated and thematically analyzed.

Results

No increase was found in uptake of skilled delivery services between baseline and midline. However, relative to the control group, significant increases in referral to health facilities for delivery were found in areas receiving the community-based intervention (beta = 0.078, p < 0.10) and areas receiving both the community-based and facility-based interventions (beta = 0.198, p < 0.05). There was also an increase in accompaniment to health facilities for delivery in areas receiving only community-based interventions (beta = 0.095, p < 0.05). Transportation to health facilities for delivery increased in areas with both interventions (beta = 0.102, p < 0.05). Qualitative data indicate that delays in the decision to seek institutional delivery usually occurred when women had limited knowledge of delivery indications. Delays in reaching a health facility typically occurred due to transportation-related challenges. Although health workers noted shortages in supplies and equipment, women reported being supported by staff and experiencing minimal delays in receiving skilled delivery care once at the facility.

Conclusions

Focusing efforts on informing the decision to seek care and overcoming transportation barriers can reduce delays in care-seeking among pregnant women and facilitate efforts to increase uptake of skilled delivery services through results-based financing mechanisms.

Explaining socioeconomic inequalities in immunisation coverage in India: new insights from the fourth National Family Health Survey (2015-16)

BACKGROUND

Childhood vaccinations are a vital preventive measure to reduce disease incidence and deaths among children. As a result, immunisation coverage against measles was a key indicator for monitoring the fourth Millennium Development Goal (MDG), aimed at reducing child mortality. India was among the list of countries that missed the target of this MDG. Immunisation targets continue to be included in the post-2015 Sustainable Development Goals (SDG), and are a monitoring tool for the Indian health care system. The SDGs also strongly emphasise reducing inequalities; even where immunisation coverage improves, there is a further imperative to safeguard against inequalities in immunisation outcomes. This study aims to document whether socioeconomic inequalities in immunisation coverage exist among children aged 12-59 months in India.

METHODS

Data for this observational study came from the fourth round of the National Family Health Survey (2015-16). We used the concentration index to assess inequalities in whether children were fully, partially or never immunised. Where children were partially immunised, we also examined immunisation intensity. Decomposition analysis was applied to examine the underlying factors associated with inequality across these categories of childhood immunisation.

RESULTS

We found that in India, only 37% of children are fully immunised, 56% are partially immunised, and 7% have never been immunised. There is a disproportionate concentration of immunised children in higher wealth quintiles, demonstrating a socioeconomic gradient in immunisation. The data also confirm this pattern of socioeconomic inequality across regions. Factors such as mother's literacy, institutional delivery, place of residence, geographical location, and socioeconomic status explain the disparities in immunisation coverage.

CONCLUSIONS

In India, there are considerable inequalities in immunisation coverage among children. It is essential to ensure an improvement in immunisation coverage and to understand underlying factors that affect poor uptake and disparities in immunisation coverage in India in order to improve child health and survival and meet the SDGs.

'I am on treatment since 5 months but I have not received any money': coverage, delays and implementation challenges of 'Direct Benefit Transfer' for tuberculosis patients - a mixed-methods study from South India

Background: In March 2018, the Government of India launched a direct benefit transfer (DBT) scheme to provide nutritional support for all tuberculosis (TB) patients in line with END TB strategy. Here, the money (@INR 500 [~8 USD] per month) is deposited electronically into the bank accounts of beneficiaries. To avail the benefit, patients are to be notified in NIKSHAY (web-based notification portal of India’s national TB programme) and provide bank account details. Once these details are entered into NIKSHAY, checked and approved by the TB programme officials, it is sent to the public financial management system (PFMS) portal for further processing and payment.

Objectives: To assess the coverage and implementation barriers of DBT among TB patients notified during April–June 2018 and residing in Dakshina Kannada, a district in South India.

Methods: This was a convergent mixed-methods study involving cohort analysis of patient data from NIKSHAY and thematic analysis of in-depth interviews of providers and patients.

Results: Of 417 patients, 208 (49.9%) received approvals for payment by PFMS and 119 (28.7%) got paid by 1 December 2018 (censor date). Reasons for not receiving DBT included (i) not having a bank account especially among migrant labourers in urban areas, (ii) refusal to avail DBT by rich patients and those with confidentiality concerns, (iii) lack of knowledge and (iv) perception that money was too little to meet the needs. The median (IQR) delay from diagnosis to payment was 101 (67–173) days. Delays were related to the complexity of processes requiring multiple layers of approval and paper-based documentation which overburdened the staff, bulk processing once-a-month and technological challenges (poor connectivity and issues related to NIKSHAY and PFMS portals).

Conclusion: DBT coverage was low and there were substantial delays. Implementation barriers need to be addressed urgently to improve uptake and efficiency. The TB programme has begun to take action.

Distinct mortality patterns at 0-2 days versus the remaining neonatal period: results from population-based assessment in the Indian state of Bihar

BACKGROUND

The objectives of this study were to understand the differences in mortality rate, risk factors for mortality, and cause of death distribution in three neonatal age sub-groups (0-2, 3-7, and 8-27 days) and assess the change in mortality rate with previous assessments to inform programmatic decision-making in the Indian state of Bihar, a large state with a high burden of newborn deaths.

METHODS

Detailed interviews were conducted in a representative sample of 23,602 live births between January and December 2016 (96.2% participation) in Bihar state. We estimated the neonatal mortality rate (NMR) for the three age sub-groups and explored the association of these deaths with a variety of risk factors using a hierarchical logistic regression model approach. Verbal autopsies were conducted using the PHMRC questionnaire and the cause of death assigned using the SmartVA automated algorithm. Change in NMR from 2011 to 2016 was estimated by comparing it with a previous assessment.

RESULTS

The NMR 0-2-day, 3-7-day, and 8-27-day mortality estimates in 2016 were 24.7 (95% CI 21.8-28.0), 13.2 (11.1 to 15.7), 5.8 (4.4 to 7.5), and 5.8 (4.5 to 7.5) per 1000 live births, respectively. A statistically significant reduction of 23.3% (95% CI 9.2% to 37.3) was seen in NMR from 2011 to 2016, driven by a reduction of 35.3% (95% CI 18.4% to 52.2) in 0-2-day mortality. In the final regression model, the highest odds for mortality in 0-2 days were related to the gestation period of ≤ 8 months (OR 16.5, 95% CI 11.9-22.9) followed by obstetric complications, no antiseptic cord care, and delivery at a private health facility or home. The 3-7- and 8-27-day mortality was driven by illness in the neonatal period (OR 10.33, 95% CI 6.31-16.90, and OR 4.88, 95% CI 3.13-7.61, respectively) and pregnancy with multiple foetuses (OR 5.15, 95% CI 2.39-11.10, and OR 11.77, 95% CI 6.43-21.53, respectively). Birth asphyxia (61.1%) and preterm delivery (22.1%) accounted for most of 0-2-day deaths; pneumonia (34.5%), preterm delivery (33.7%), and meningitis/sepsis (20.1%) accounted for the majority of 3-7-day deaths; meningitis/sepsis (30.6%), pneumonia (29.1%), and preterm delivery (26.2%) were the leading causes of death at 8-27 days.

CONCLUSIONS

To our knowledge, this is the first study to report a detailed neonatal epidemiology by age sub-groups for a major Indian state, which has highlighted the distinctly different mortality rate, risk factors, and causes of death at 0-2 days versus the rest of the neonatal period. Monitoring mortality at 0-2 and 3-7 days separately in the traditional early neonatal period of 0-7 days would enable more effective programming to reduce neonatal mortality.

Can India's primary care facilities deliver? A cross-sectional assessment of the Indian public health system's capacity for basic delivery and newborn services

OBJECTIVES

To assess input and process capacity for basic delivery and newborn (intrapartum care hereafter) care in the Indian public health system and to describe differences in facility capacity between rural and urban areas and across states.

DESIGN

Cross-sectional study.

SETTING

Data from the nationally representative 2012-2014 District Level Household and Facility Survey, which includes a census of community health centres (CHC) and sample of primary health centres (PHC) across 30 states and union territories in India.

PARTICIPANTS

8536 PHCs and 4810 CHCs.

OUTCOME MEASURES

We developed a summative index of 33 structural and process capacity items matching the Indian Public Health Standards for PHCs as a metric of minimum facility capacity for intrapartum care. We assessed differences in performance on this index across facility type and location.

RESULTS

About 30% of PHCs and 5% of CHCs reported not offering any intrapartum care. Among those offering services, volumes were low: median monthly delivery volume was 8 (IQR=13) in PHCs and 41 (IQR=73) in CHCs. Both PHCs and CHCs failed to meet the national standards for basic intrapartum care capacity. Mean facility capacity was low in PHCs in both urban (0.64) and rural (0.63) areas, while in CHCs, capacity was slightly higher in urban areas (0.77vs0.74). Gaps were most striking in availability of skilled human resources and emergency obstetric services. Poor capacity facilities were more concentrated in the more impoverished states, with 37% of districts from these states receiving scores in the lowest third of the facility capacity index (<0.70), compared with 21% of districts otherwise.

CONCLUSIONS

Basic intrapartum care capacity in Indian public primary care facilities is weak in both rural and urban areas, especially lacking in the poorest states with worst health outcomes. Improving maternal and newborn health outcomes will require focused attention to quality measurement, accountability mechanisms and quality improvement. Policies to address deficits in skilled providers and emergency service availability are urgently required.