Associations between recent intimate partner violence and receipt and quality of perinatal health services in Uttar Pradesh.

BACKGROUND: India suffers some of the highest maternal and neonatal mortality rates in the world. Intimate partner violence (IPV) can be a barrier to utilization of perinatal care, and has been associated with poor maternal and neonatal health outcomes. However, studies that assess the relationship between IPV and perinatal health care often focus solely on receipt of services, and not the quality of the services received. METHODS AND FINDINGS: Data were collected in 2016-2017 from a representative sample of women (15-49yrs) in Uttar Pradesh, India who had given birth within the previous 12 months (N = 5020), including use of perinatal health services and past 12 months experiences of physical and sexual IPV. Multivariate logistic regression models assessed whether physical or sexual IPV were associated with perinatal health service utilization and quality. Reports of IPV were not associated with odds of receiving antenatal care or a health worker home visit during the third trimester, but physical IPV was associated with fewer diagnostic tests during antenatal visits (beta = -0.30), and fewer health topics covered during home visits (beta = -0.44). Recent physical and recent sexual IPV were both associated with decreased odds of institutional delivery (physical IPV AOR 0.65; sexual IPV AOR 0.61), and recent sexual IPV was associated with leaving a delivery facility earlier than recommended (AOR = 1.87). Neither form of IPV was associated with receipt of a postnatal home visit, but recent physical IPV was associated with fewer health topics discussed during such visits (beta = -0.26). CONCLUSIONS: In this study, reduced quantity and quality of perinatal health care were associated with recent IPV experiences. In cases where IPV was not related to care receipt, IPV remained associated with diminished care quality. Additional study to understand the mechanisms underlying associations between IPV and care qualities is required to inform health services.

Effects of health behaviour change intervention through women's self-help groups on maternal and newborn health practices and related inequalities in rural india: A quasi-experimental study.

BACKGROUND: Despite the health system efforts, health disparities exist across sub-populations in India. We assessed the effects of health behaviour change interventions through women's self-help groups (SHGs) on maternal and newborn health (MNH) behaviours and socio-economic inequalities. METHODS: We did a quasi-experimental study of a large-scale SHG program in Uttar Pradesh, India, where 120 geographic blocks received, and 83 blocks did not receive health intervention. Data comes from two cross-sectional surveys with 4,615 recently delivered women in 2015, and 4,250 women in 2017. The intervention included MNH discussions in SHG meetings and community outreach activities. The outcomes included antenatal, natal and postnatal care, contraceptive use, cord care, skin-to-skin care, and breastfeeding practices. Effects were assessed using multilevel mixed-effects regression adjusted difference-in-differences (DID) analysis adjusting for geographic clustering and potential covariates, for all, most-marginalised and least-marginalised women. Concentration indices examined the socio-economic inequality in health practices over time. FINDINGS: The net improvements (5-11 percentage points [pp]) in correct MNH practices were significant in the intervention areas. The improvements over time were higher among the most-marginalised than least-marginalised for antenatal check-ups (DID: 20pp, p<0•001 versus DID: 6pp, p = 0•093), consumption of iron folic acid tablets for 100 days (DID: 7pp, p = 0•036 versus DID: -1pp, p = 0•671), current use of contraception (DID: 12pp, p = 0•046 versus DID: 10pp, p = 0•021), cord care (DID: 12pp, p = 0•051 versus DID: 7pp, p = 0•210), and timely initiation of breastfeeding (DID: 29pp, p = 0•001 versus DID: 1pp, p = 0•933). Lorenz curves and concentration indices indicated reduction in rich-poor gap in health practices over time in the intervention areas. INTERPRETATION: Disparities in MNH behaviours declined with the efforts by SHGs through behaviour change communication intervention.

Disrupting gender norms in health systems: making the case for change.

Restrictive gender norms and gender inequalities are replicated and reinforced in health systems, contributing to gender inequalities in health. In this Series paper, we explore how to address all three through recognition and then with disruptive solutions. We used intersectional feminist theory to guide our systematic reviews, qualitative case studies based on lived experiences, and quantitative analyses based on cross-sectional and evaluation research. We found that health systems reinforce patients' traditional gender roles and neglect gender inequalities in health, health system models and clinic-based programmes are rarely gender responsive, and women have less authority as health workers than men and are often devalued and abused. With regard to potential for disruption, we found that gender equality policies are associated with greater representation of female physicians, which in turn is associated with better health outcomes, but that gender parity is insufficient to achieve gender equality. We found that institutional support and respect of nurses improves quality of care, and that women's empowerment collectives can increase health-care access and provider responsiveness. We see promise from social movements in supporting women's reproductive rights and policies. Our findings suggest we must view gender as a fundamental factor that predetermines and shapes health systems and outcomes. Without addressing the role of restrictive gender norms and gender inequalities within and outside health systems, we will not reach our collective ambitions of universal health coverage and the Sustainable Development Goals. We propose action to systematically identify and address restrictive gender norms and gender inequalities in health systems.

Gender equality and gender norms: framing the opportunities for health.

The Sustainable Development Goals offer the global health community a strategic opportunity to promote human rights, advance gender equality, and achieve health for all. The inability of the health sector to accelerate progress on a range of health outcomes brings into sharp focus the substantial impact of gender inequalities and restrictive gender norms on health risks and behaviours. In this paper, the fifth in a Series on gender equality, norms, and health, we draw on evidence to dispel three myths on gender and health and describe persistent barriers to progress. We propose an agenda for action to reduce gender inequality and shift gender norms for improved health outcomes, calling on leaders in national governments, global health institutions, civil society organisations, academic settings, and the corporate sector to focus on health outcomes and engage actors across sectors to achieve them; reform the workplace and workforce to be more gender-equitable; fill gaps in data and eliminate gender bias in research; fund civil-society actors and social movements; and strengthen accountability mechanisms.

Transforming youth mental health services in a large urban centre: ACCESS Open Minds Edmonton.

AIM: This paper outlines the transformation of youth mental health services in Edmonton, Alberta, a large city in Western Canada. We describe the processes and challenges involved in restructuring how services and care are delivered to youth (11-25 years old) with mental health needs based on the objectives of the pan-Canadian ACCESS Open Minds network. METHODS: We provide a narrative review of how youth mental health services have developed since our engagement with the ACCESS Open Minds initiative, based on its five central objectives of early identification, rapid access, appropriate care, continuity of care, and youth and family engagement. RESULTS: Building on an initial community mapping exercise, a service network has been developed; teams that were previously age-oriented have been integrated together to seamlessly cover the age 11 to 25 range; early identification has thus far focused on high-school populations; and an actual drop-in space facilitates rapid access and linkages to appropriate care within the 30-day benchmark. CONCLUSIONS: Initial aspects of the transformation have relied on restructuring and partnerships that have generated early successes. However, further transformation over the longer term will depend on data demonstrating how this has impacted clinical outcomes and service utilization. Ultimately, sustainability in a large urban centre will likely involve scaling up to a network of similar services to cover the entire population of the city.

Reproductive coercion in Uttar Pradesh, India: Prevalence and associations with partner violence and reproductive health.

Increasing modern contraceptive use and gender equity are major foci of the recently ratified Sustainable Development Goals for 2030 and the Government of India. Coercion and sabotage by husbands and in-laws to inhibit women's access, initiation, continuation, and successful use of modern contraception methods (i.e., reproductive coercion) may contribute to low usage rates and unintended pregnancy in India; however, little is known about the extent of this problem. The current study assesses the prevalence of reproductive coercion, both husband and in-law perpetrated, among a large population-based sample. Data were collected from currently married women of reproductive age (15-49 years; N = 1770) across 49 districts of Uttar Pradesh as part of an evaluation of a broad effort to improve the public health system in the state. Dependent variables included modern contraceptive use in the past 12 months, unintended pregnancy, and pregnancy termination. Independent variables included ever experiencing reproductive coercion (RC) by a current husband or in-laws and lifetime experience of physical and sexual intimate partner violence (IPV) by a current husband. Approximately 1 in 8 (12%) women reported ever experiencing RC from their current husbands or in-laws; 42% of these women reported RC by husbands only, 48% reported RC by in-laws only, and 10% reported RC by both husbands and in-laws. Among women experiencing RC, more than one-third (36%) reported that their most recent pregnancy was unintended; these women had 4 to 5 times greater odds of unintended pregnancy and a more than 5 times decreased likelihood of recent use of modern contraceptives than women not experiencing RC, after accounting for effects of demographics and physical and sexual IPV. Scalable and sustainable interventions in both clinical and community settings are needed to reduce RC, a potentially key factor in effective strategies for improving women's reproductive autonomy and health in India and globally.

Heterogeneities in utilization of antenatal care in Uttar Pradesh, India: the need to contextualize interventions to individual contexts.

BACKGROUND: This paper explores the heterogeneities in antenatal care (ANC) utilization in India's most populated state, Uttar Pradesh. Taking an intersectionality lens, multiple individual- and district-level factors are used to identify segments of any antenatal care usage in Uttar Pradesh Objective: This paper seeks to understand the multilevel contexts of ANC utilization. The planning and programming challenge is that such knowledge of contextual specificity is rarely known upfront at the initial stages of planning or implementing an intervention. Exploratory data analysis might be needed to identify such contextual specificity. METHODS: Tree-structured regression methods are used to identify segments and interactions between factors. The results from the tree-structured regression were complemented with multilevel models that controlled for the clustering of individuals within districts. RESULTS: Heterogeneities in utilization of any ANC were observed. The multiple segments of ANC utilization that were developed went from a low utilization of 23.7% for respondents who were not literate and did not have home ownership to a high of 82.4% for respondents who were literate and at the highest level of wealth. Key variables that helped define the segments of ANC utilization include: woman's literacy, ownership of home, wealth index, and district-level sex ratio. Based on the multilevel model of any ANC utilization, cross-level interactions also were obtained between sex ratio and ownership of home as well as between sex ratio and literacy. Increases in sex ratio increased the influence of ownership of home on any ANC, while increases in sex ratio reduced the impact of woman's literacy on receiving any ANC. CONCLUSION: We argue that a focus on heterogeneous segments of utilization can help build knowledge of the mechanisms that underlie inequities in maternal health utilization. Such knowledge of heterogeneity needs to be incorporated in contextualizing interventions to meet a variety of recipients' needs.

Understanding intersections of social determinants of maternal healthcare utilization in Uttar Pradesh, India.

OBJECTIVE: To explore intersections of social determinants of maternal healthcare utilization using the Classification and Regression Trees (CART) algorithm which is a machine-learning method used to construct prediction models. METHODS: Institutional review board approval for this study was granted from Public Health Service-Ethical Review Board (PHS-ERB) and from the Health Ministry Screening Committee (HMSC) facilitated by Indian Council for Medical Research (ICMR). IRB review and approval for the current analyses was obtained from University of California, San Diego. Cross-sectional data were collected from women with children aged 0-11 months (n = 5,565) from rural households in 25 districts of Uttar Pradesh, India. Participants were surveyed on maternal healthcare utilization including registration of pregnancy (model-1), receipt of antenatal care (ANC) during pregnancy (model-2), and delivery at health facilities (model -3). Social determinants of health including wealth, social group, literacy, religion, and early age at marriage were captured during the survey. The Classification and Regression Tree (CART) algorithm was used to explore intersections of social determinants of healthcare utilization. RESULTS: CART analyses highlight the intersections, particularly of wealth and literacy, in maternal healthcare utilization in Uttar Pradesh. Model-1 documents that women who are poorer, illiterate and Muslim are less likely to have their pregnancies registered (71.4% vs. 86.0% in the overall sample). Model-2 documents that poorer, illiterate women had the lowest ANC coverage (37.7% vs 45% in the overall sample). Model-3, developed for deliveries at health facilities, highlighted that illiterate and poor women have the lowest representation among facility deliveries (59.6% vs. 69% in the overall sample). CONCLUSION: This paper explores the interactions between determinants of maternal healthcare utilization indicators. The findings in this paper highlights that the interaction of wealth and literacy can play a very strong role in accentuating or diminishing healthcare utilization among women. The study also reveals that religion and women's age at marriage also interact with wealth and literacy to create substantial disparities in utilization. The study provides insights into the effect of intersections of determinants, and highlights the importance of using a more nuanced understanding of the impact of co-occurring forms of marginalization to effectively tackle inequities in healthcare utilization.

Gender inequities in curative and preventive health care use among infants in Bihar, India.

BACKGROUND: India has the highest rate of excess female infant deaths in the world. Studies with decade-old data suggest gender inequities in infant health care seeking, but little new large-scale research has examined this issue. We assessed differences in health care utilization by sex of the child, using 2014 data for Bihar, India. METHODS: This was a cross-sectional analysis of statewide representative survey data collected for a non-blinded maternal and child health evaluation study. Participants included mothers of living singleton infants (n = 11 570). Sex was the main exposure. Outcomes included neonatal illness, care seeking for neonatal illness, hospitalization, facility-based postnatal visits, immunizations, and postnatal home visits by frontline workers. Analyses were conducted via multiple logistic regression with survey weights. FINDINGS: The estimated infant sex ratio was 863 females per 1000 males. Females had lower rates of reported neonatal illness (odds ratio (OR) = 0.7, 95% confidence interval (CI) = 0.6-0.9) and hospitalization during infancy (OR = 0.4, 95% CI = 0.3-0.6). Girl neonates had a significantly lower odds of receiving care if ill (80.6% vs 89.1%; OR = 0.5; 95% CI = 0.3-0.8) and lower odds of having a postnatal checkup visit within one month of birth (5.4% vs 7.3%; OR = 0.7, 95% CI = 0.6-0.9). The gender inequity in care seeking was more profound at lower wealth and higher numbers of siblings. Gender differences in immunization and frontline worker visits were not seen. INTERPRETATION: Girls in Bihar have lower odds than boys of receiving facility-based curative and preventive care, and this inequity may partially explain the persistent sex ratio imbalance and excess female mortality. Frontline worker home visits may offer a means of helping better support care for girls.

Associations Between Mistreatment by a Provider during Childbirth and Maternal Health Complications in Uttar Pradesh, India.

Objectives This study assesses associations between mistreatment by a provider during childbirth and maternal complications in Uttar Pradesh, India. Methods Cross-sectional survey data were collected from women (N = 2639) who had delivered at 68 public health facilities in Uttar Pradesh, participating in a quality of care study. Participants were recruited from April to July 2015 and surveyed on demographics, mistreatment during childbirth (measure developed for this study, Cronbach's alpha = 0.70), and maternal health complications. Regression models assessed associations between mistreatment during childbirth and maternal complications, at delivery and postpartum, adjusting for demographics and pregnancy complications. Results Participants were aged 17-48 years, and 30.3% were scheduled caste/scheduled tribe. One in five (20.9%) reported mistreatment by their provider during childbirth, including discrimination and abuse; complications during delivery (e.g., obstructed labor) and postpartum (e.g., excessive bleeding) were reported by 45.8 and 41.5% of women, respectively. Health providers at delivery included staff nurses (81.8%), midwives (14.0%), and physicians (2.2%); Chi square analyses indicate that women were significantly more likely to report mistreatment when their provider was a nurse rather than a physician or midwife. Women reporting mistreatment by a provider during childbirth had higher odds of complications at delivery (AOR = 1.32; 95% CI 1.05-1.67) and postpartum (AOR = 2.12; 95% CI 1.67-2.68). Conclusions for Practice Mistreatment of women by their provider during childbirth is a pervasive health and human rights violation, and is associated with increased risk for maternal health complications in Uttar Pradesh. Efforts to improve quality of maternal care should include greater training and monitoring of providers to ensure respectful treatment of patients.

Towards an understanding of the multilevel factors associated with maternal health care utilization in Uttar Pradesh, India.

BACKGROUND: This paper explores the multilevel factors associated with maternal health utilization in India's most populous state, Uttar Pradesh. 3 key utilization practices: registration of pregnancy, receipt of antenatal care, and delivery at home are examined for district and individual level predictors. The data is based on 5666 household surveys conducted as part of a baseline evaluation of the Uttar Pradesh Technical Support Unit (UPTSU.) program. OBJECTIVES: This intervention aims to assist the Government of Uttar Pradesh in increasing the efficiency, effectiveness, and equity of service delivery across a continuum of reproductive, maternal, new-born, child, and adolescent health (RMNCH+A) outcomes. METHODS: The paper employs multilevel models that control for individuals being nested within districts in order to understand the predictors of maternal health care utilization. RESULTS: The study identifies several individual-level predictors of health care utilization, including: literacy of the woman, the husband's schooling, age at marriage, and socio-economic factors. Key predictors of pregnancy registration include husband's schooling (OR 1.49, 95% CI 1.26-1.76), having a bank account (OR 1.36, 95% CI 1.11-1.68), and owning a house (OR 2.28, 95% CI 1.85-2.80). Factors affecting antenatal care include the woman's literacy (OR 1.49, 95% CI 1.28-1.73), the respondent having had a job in the last year (OR 1.39, 95% CI 1.10-1.77), and owning a house (OR 2.83, 95% CI 2.27-3.53). Home delivery tends to be associated with woman's literacy (OR 0.62, 95% CI 0.54-0.72) and marriage age of 15 and younger (OR 1.48, 95% CI 1.26-1.73). CONCLUSIONS: Interventions having equity considerations need to disrupt existing patterns of the health gradient. Successful implementation of such interventions, necessitate understanding the mechanisms that can disrupt the unequal utilization patterns and target domains of disadvantage. Knowledge of key predictors of utilization can aid in the implementation of such complex interventions.

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.

Making the continuum of care work for mothers and infants: Does gender equity matter? Findings from a quasi-experimental study in Bihar, India.

BACKGROUND: Improvements in continuum of care (CoC) utilization are needed to address inadequate reductions in neonatal and infant mortality in India and elsewhere. This study examines the effect of Ananya, a health system training and community outreach intervention, on reproductive, maternal and newborn health continuum of care (RMNH CoC) utilization in Bihar, India, and explores whether that effect is moderated by gender equity factors (child marriage, restricted mobility and low decision-making control). METHODS: A two-armed quasi-experimental design compared districts in Bihar that did/did not implement Ananya. Cross-sections of married women aged 15-49 with a 0-5 month old child were surveyed at baseline and two year follow-up (baseline n = 7191 and follow-up n = 6143; response rates 88.9% and 90.7%, respectively). Difference-in-difference analyses assessed program impact on RMNH CoC co-coverage, defined by 9 health services/behaviors for the index pregnancy (e.g., antenatal care, skin-to-skin care). Three-way interactions assessed gender equity as a moderator of Ananya's impact. FINDINGS: Participants reported low RMNH CoC co-coverage at baseline (on average 3.2 and 3.0 of the 9 RMNH services/behaviors for Ananya and control groups, respectively). The Ananya group showed a significantly greater increase in RMNH CoC co-coverage (.41 services) compared with the control group over time (p<0.001), with the primary drivers being increases in clean cord care, skin-to-skin care and postpartum contraceptive use. Gender equity interaction analyses revealed diminished intervention effects on antenatal care, skilled birth attendance and exclusive breastfeeding for women married as minors. CONCLUSION: Ananya improved RMNH CoC co-coverage among these recent mothers, largely through positive health behavior changes. Child marriage attenuated Ananya's impact on utilization of key health services and behaviors. Supporting the health system with training and community outreach can be beneficial to RMNH CoC utilization; additional support is needed to adequately address the unique issues faced by women married as minors.

Quality Of Health Care In India: Challenges, Priorities, And The Road Ahead.

India's health care sector provides a wide range of quality of care, from globally acclaimed hospitals to facilities that deliver care of unacceptably low quality. Efforts to improve the quality of care are particularly challenged by the lack of reliable data on quality and by technical difficulties in measuring quality. Ongoing efforts in the public and private sectors aim to improve the quality of data, develop better measures and understanding of the quality of care, and develop innovative solutions to long-standing challenges. We summarize priorities and the challenges faced by efforts to improve the quality of care. We also highlight lessons learned from recent efforts to measure and improve that quality, based on the articles on quality of care in India that are published in this issue of Health Affairs The rapidly changing profile of diseases in India and rising chronic disease burden make it urgent for state and central governments to collaborate with researchers and agencies that implement programs to improve health care to further the quality agenda.