Maternal health care utilisation in urban informal settlements: a grounded theory of manoeuvring

Despite substantial reductions, maternal and newborn mortality in India remain high. Access to maternity care is crucial, but research tends to emphasise uptake, overlooking patterns of utilisation. The urban scenario is complex: public and private health infrastructure is available but poorer groups face substantial inequalities in access. Understanding how families choose health providers and utilise services is essential to address inequalities and improve user experience. In this thesis, I examine the dynamics of maternity care-seeking in Mumbai’s informal settlements and develop a substantive grounded theory of health care utilisation. The study took place in informal communities in eastern Mumbai. Using mixed methods, I described patterns and determinants of maternity care, and used grounded theory to explain women’s choice of health care provider and utilisation of services. Uptake of institutional maternity care was high. Tertiary public hospitals were the commonest source of maternity care, but most women preferred the private sector because of superior quality and experiences. There were inequalities in uptake and utilisation across socio-economic groups. Motivated by an awareness of the potential risks of pregnancy and childbirth and a desire for positive health outcomes, families engaged in a process I called ‘manoeuvring’, a form of reflexive monitoring involving three interrelated stages: ‘exploring the options’, involving gathering information about health care options and providers, ‘purposive selection’, the identification of suitable providers, and ‘managing the health care encounter’, actions to move through the system, including negotiating with providers and reflecting on care-seeking experiences. In Mumbai’s informal settlements, institutional maternity care is the norm, although substantial inequalities exist. The process of choosing and utilising health care is complex. Manoeuvring explains how women living in challenging social and economic conditions choose and interact with health care services in a continuous process reflexive monitoring. Health managers must ensure quality services, a functioning regulatory mechanism, and monitoring of provider behaviour

Intimate partner violence against women during and after pregnancy: a cross-sectional study in Mumbai slums

"Intimate partner violence against women during maternity was unacceptably common in Mumbai’s slums. One in seven women suffered violence during or shortly after pregnancy. IPV begins in a culture that condones it – indeed, justifies it - and is abetted by poverty and alcohol use. The elements of the violent milieu are mutually reinforcing and need to be taken into account collectively in responding to both individual cases and framing public health initiatives.

Violence against women with disability in Mumbai, India: a qualitative study

"We conducted open-ended interviews with 15 women with disability who had reported violence in a preceding survey. Emergent themes included a lack of acceptance by families, the systematic formation of a dependent self-image, and an expectation of limited achievement. Emotional violence was particularly emphasized, as was perceived structural violence stemming from social norms, which led to exclusion and vulnerability. Violence in the natal home was an issue that had been relatively uninvestigated.

Factors associated with women's healthcare decision-making during and after pregnancy in urban slums in Mumbai, India: a cross-sectional analysis

BACKGROUND: Understanding factors associated with women's healthcare decision-making during and after pregnancy is important. While there is considerable evidence related to general determinants of women's decision-making abilities or agency, there is little evidence on factors associated with women's decision-making abilities or agency with regards to health care (henceforth, health agency), especially for antenatal and postnatal care. We assessed women's health agency during and after pregnancy in slums in Mumbai, India, and examined factors associated with increased participation in healthcare decisions. METHODS: Cross-sectional data were collected from 2,630 women who gave birth and lived in 48 slums in Mumbai. A health agency module was developed to assess participation in healthcare decision-making during and after pregnancy. Linear regression analysis was used to examine factors associated with increased health agency. RESULTS: Around two-thirds of women made decisions about perinatal care by themselves or jointly with their husband, leaving about one-third outside the decision-making process. Participation increased with age, secondary and higher education, and paid employment, but decreased with age at marriage and household size. The strongest associations were with age and household size, each accounting for about a 0.2 standard deviation difference in health agency score for each one standard deviation change (although in different directions). Similar differences were observed for those in paid employment compared to those who were not, and for those with higher education compared to those with no schooling. CONCLUSION: Exclusion of women from maternal healthcare decision-making threatens the effectiveness of health interventions. Factors such as age, employment, education, and household size need to be considered when designing health interventions targeting new mothers living in challenging conditions, such as urban slums in low- and middle-income countries

Community resource centres to improve the health of women and children in informal settlements in Mumbai: a cluster-randomised, controlled trial

Background Around 105 million people in India will be living in informal settlements by 2017. We investigated the eff ects of local resource centres delivering integrated activities to improve women’s and children’s health in urban informal settlements. Methods In a cluster-randomised controlled trial in 40 clusters, each containing around 600 households, 20 were random ly allocated to have a resource centre (intervention group) and 20 no centre (control group). Community organisers in the intervention centres addressed maternal and neonatal health, child health and nutrition, reproductive health, and prevention of violence against women and children through home visits, group meetings, day care, community events, service provision, and liaison. The primary endpoints were met need for family planning in women aged 15–49 years, proportion of children aged 12–23 months fully immunised, and proportion of children younger than 5 years with anthropometric wasting. Census interviews with women aged 15–49 years were done before and 2 years after the intervention was implemented. The primary intention-to-treat analysis compared cluster allocation groups after the intervention. We also analysed the per-protocol population (all women with data from both censuses) and assessed cluster-level changes. This study is registered with ISRCTN, number ISRCTN56183183, and Clinical Trials Registry of India, number CTRI/2012/09/003004. Findings 12 614 households were allocated to the intervention and 12 239 to control. Postintervention data were available for 8271 women and 5371 children younger than 5 years in the intervention group, and 7965 women and 5180 children in the control group. Met need for family planning was greater in the intervention clusters than in the control clusters (odds ratio [OR] 1·31, 95% CI 1·11–1·53). The proportions of fully immunised children were similar in the intervention and control groups in the intention-to-treat analysis (OR 1·30, 95% CI 0·84–2·01), but were greater in the intervention group when assessed per protocol (1·73, 1·05–2·86). Childhood wasting did not diff er between groups (OR 0·92, 95% CI 0·75–1·12), although improvement was seen at the cluster level in the intervention group (p=0·020). Interpretation This community resource model seems feasible and replicable and may be protocolised for expansion

Institutional delivery in public and private sectors in South Asia: a comparative analysis of prospective data from four demographic surveillance sites

BACKGROUND: Maternity care in South Asia is available in both public and private sectors. Using data from demographic surveillance sites in Bangladesh, Nepal and rural and urban India, we aimed to compare institutional delivery rates and public-private share. METHODS: We used records of maternity care collected in socio-economically disadvantaged communities between 2005 and 2011. Institutional delivery was summarized by four potential determinants: household asset index, maternal schooling, maternal age, and parity. We developed logistic regression models for private sector institutional delivery with these as independent covariates. RESULTS: The data described 52 750 deliveries. Institutional delivery proportion varied and there were differences in public-private split. In Bangladesh and urban India, the proportion of deliveries in the private sector increased with wealth, maternal education, and age. The opposite was observed in rural India and Nepal. CONCLUSIONS: The proportion of institutional delivery increased with economic status and education. The choice of sector is more complex and provision and perceived quality of public sector services is likely to play a role. Choices for safe maternity are influenced by accessibility, quantity and perceived quality of care. Along with data linkage between private and public sectors, increased regulation should be part of the development of the pluralistic healthcare systems that characterize south Asia

Exploring the Equity Impact of a Maternal and Newborn Health Intervention: A Qualitative Study of Participatory Women's Groups in Rural South Asia and Africa

A consensus is developing on interventions to improve newborn survival, but little is known about how to reduce socioeconomic inequalities in newborn mortality in low- and middle-income countries. Participatory learning and action (PLA) through women's groups can improve newborn survival and home care practices equitably across socioeconomic strata, as shown in cluster randomised controlled trials. We conducted a qualitative study to understand the mechanisms that led to the equitable impact of the PLA approach across socioeconomic strata in four trial sites in India, Nepal, Bangladesh, and Malawi

Institutional delivery in public and private sectors in South Asia: A comparative analysis of prospective data from four demographic surveillance sites

__Background:__ Maternity care in South Asia is available in both public and private sectors. Using data from demographic surveillance sites in Bangladesh, Nepal and rural and urban India, we aimed to compare institutional delivery rates and public-private share. __Methods:__ We used records of maternity care collected in socio-economically disadvantaged communities between 2005 and 2011. Institutional delivery was summarized by four potential determinants: household asset index, maternal schooling, maternal age, and parity. We developed logistic regression models for private sector institutional delivery with these as independent covariates. __Results:__ The data described 52 750 deliveries. Institutional delivery proportion varied and there were differences in public-private split. In Bangladesh and urban India, the proportion of deliveries in the private sector increased with wealth, maternal education, and age. The opposite was observed in rural India and Nepal. __Conclusions:__ The proportion of institutional delivery increased with economic status and education. The choice of sector is more complex and provision and perceived quality of public sector services is likely to play a role. Choices for safe maternity are influenced by accessibility, quantity and perceived quality of care. Along with data linkage between privat

Prevalence and determinants of caesarean section in private and public health facilities in underserved South Asian communities: cross-sectional analysis of data from Bangladesh, India and Nepal.

OBJECTIVES: To describe the prevalence and determinants of births by caesarean section in private and public health facilities in underserved communities in South Asia. DESIGN: Cross-sectional study. SETTING: 81 community-based geographical clusters in four locations in Bangladesh, India and Nepal (three rural, one urban). PARTICIPANTS: 45,327 births occurring in the study areas between 2005 and 2012. OUTCOME MEASURES: Proportion of caesarean section deliveries by location and type of facility; determinants of caesarean section delivery by location. RESULTS: Institutional delivery rates varied widely between settings, from 21% in rural India to 90% in urban India. The proportion of private and charitable facility births delivered by caesarean section was 73% in Bangladesh, 30% in rural Nepal, 18% in urban India and 5% in rural India. The odds of caesarean section were greater in private and charitable health facilities than in public facilities in three of four study locations, even when adjusted for pregnancy and delivery characteristics, maternal characteristics and year of delivery (Bangladesh: adjusted OR (AOR) 5.91, 95% CI 5.15 to 6.78; Nepal: AOR 2.37, 95% CI 1.62 to 3.44; urban India: AOR 1.22, 95% CI 1.09 to 1.38). We found that highly educated women were particularly likely to deliver by caesarean in private facilities in urban India (AOR 2.10; 95% CI 1.61 to 2.75) and also in rural Bangladesh (AOR 11.09, 95% CI 6.28 to 19.57). CONCLUSIONS: Our results lend support to the hypothesis that increased caesarean section rates in these South Asian countries may be driven in part by the private sector. They also suggest that preferences for caesarean delivery may be higher among highly educated women, and that individual-level and provider-level factors interact in driving caesarean rates higher. Rates of caesarean section in the private sector, and their maternal and neonatal health outcomes, require close monitoring