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1.
BMC Public Health ; 22(1): 743, 2022 04 13.
Article in English | MEDLINE | ID: mdl-35418068

ABSTRACT

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.


Subject(s)
Decision Making , Poverty Areas , Cross-Sectional Studies , Delivery of Health Care , Female , Humans , Male , Pregnancy , Socioeconomic Factors
2.
Lancet Glob Health ; 5(3): e335-e349, 2017 03.
Article in English | MEDLINE | ID: mdl-28193399

ABSTRACT

BACKGROUND: Around 105 million people in India will be living in informal settlements by 2017. We investigated the effects 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 randomly 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 differ 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. FUNDING: Wellcome Trust, CRY, Cipla.


Subject(s)
Family Planning Services , Health Resources , Health Services Accessibility , Maternal-Child Health Services , Residence Characteristics , Urban Population , Vaccination Coverage , Adolescent , Adult , Child Health , Child, Preschool , Community Health Services , Family Characteristics , Female , Humans , India , Infant , Infant Health , Male , Middle Aged , Program Evaluation , Vaccination , Women's Health , Young Adult
3.
Arch Dis Child Fetal Neonatal Ed ; 100(5): F439-47, 2015 Sep.
Article in English | MEDLINE | ID: mdl-25972443

ABSTRACT

OBJECTIVE: Understanding the causes of death is key to tackling the burden of three million annual neonatal deaths. Resource-poor settings lack effective vital registration systems for births, deaths and causes of death. We set out to describe cause-specific neonatal mortality in rural areas of Malawi, Bangladesh, Nepal and rural and urban India using verbal autopsy (VA) data. DESIGN: We prospectively recorded births, neonatal deaths and stillbirths in seven population surveillance sites. VAs were carried out to ascertain cause of death. We applied descriptive epidemiological techniques and the InterVA method to characterise the burden, timing and causes of neonatal mortality at each site. RESULTS: Analysis included 3772 neonatal deaths and 3256 stillbirths. Between 63% and 82% of neonatal deaths occurred in the first week of life, and males were more likely to die than females. Prematurity, birth asphyxia and infections accounted for most neonatal deaths, but important subnational and regional differences were observed. More than one-third of deaths in urban India were attributed to asphyxia, making it the leading cause of death in this setting. CONCLUSIONS: Population-based VA methods can fill information gaps on the burden and causes of neonatal mortality in resource-poor and data-poor settings. Local data should be used to inform and monitor the implementation of interventions to improve newborn health. High rates of home births demand a particular focus on community interventions to improve hygienic delivery and essential newborn care.


Subject(s)
Cause of Death , Infant Mortality , Population Surveillance/methods , Autopsy/methods , Bangladesh/epidemiology , Female , Humans , India/epidemiology , Infant , Malawi/epidemiology , Male , Nepal/epidemiology , Prospective Studies , Sex Distribution
4.
BMC Public Health ; 13: 817, 2013 Sep 09.
Article in English | MEDLINE | ID: mdl-24015762

ABSTRACT

BACKGROUND: At least one-third of women in India experience intimate partner violence (IPV) at some point in adulthood. Our objectives were to describe the prevalence of IPV during pregnancy and after delivery in an urban slum setting, to review its social determinants, and to explore its effects on maternal and newborn health. METHODS: We did a cross-sectional study nested within the data collection system for a concurrent trial. Through urban community surveillance, we identified births in 48 slum areas and interviewed mothers ~6 weeks later. After collecting information on demographic characteristics, socioeconomic indicators, and maternal and newborn care, we asked their opinions on the justifiability of IPV and on their experience of it in the last 12 months. RESULTS: Of 2139 respondents, 35% (748) said that violence was justifiable if a woman disrespected her in-laws or argued with her husband, failed to provide good food, housework and childcare, or went out without permission. 318 (15%, 95% CI 13, 16%) reported IPV in the year that included pregnancy and the postpartum period. Physical IPV was reported by 247 (12%, 95% CI 10, 13%), sexual IPV by 35 (2%, 95% CI 1, 2%), and emotional IPV by 167 (8%, 95% CI 7, 9). 219 (69%) women said that the likelihood of IPV was either unaffected by or increased during maternity. IPV was more likely to be reported by women from poorer families and when husbands used alcohol. Although 18% of women who had suffered physical IPV sought clinical care for their injuries, seeking help from organizations outside the family to address IPV itself was rare. Women who reported IPV were more likely to have reported illness during pregnancy and use of modern methods of family planning. They were more than twice as likely to say that there were situations in which violence was justifiable (odds ratio 2.6, 95% CI 1.7, 3.4). CONCLUSIONS: One in seven women suffered IPV during or shortly after pregnancy. 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.


Subject(s)
Battered Women/statistics & numerical data , Poverty Areas , Spouse Abuse/statistics & numerical data , Adolescent , Adult , Cross-Sectional Studies , Domestic Violence/statistics & numerical data , Female , Humans , India , Infant, Newborn , Postpartum Period , Pregnancy , Prevalence , Risk Assessment , Sexual Partners , Surveys and Questionnaires , Urban Population , Young Adult
5.
Trials ; 14: 132, 2013 May 08.
Article in English | MEDLINE | ID: mdl-23782816

ABSTRACT

BACKGROUND: The trial addresses the general question of whether community resource centers run by a non-government organization improve the health of women and children in slums. The resource centers will be run by the Society for Nutrition, Education and Health Action, and the trial will evaluate their effects on a series of public health indicators. Each resource center will be located in a vulnerable Mumbai slum area and will serve as a base for salaried community workers, supervised by officers and coordinators, to organize the collection and dissemination of health information, provision of services, home visits to identify and counsel families at risk, referral of individuals and families to appropriate services and support for their access, meetings of community members and providers, and events and campaigns on health issues. METHODS/DESIGN: A cluster randomized controlled trial in which 20 urban slum areas with resource centers are compared with 20 control areas. Each cluster will contain approximately 600 households and randomized allocation will be in three blocked phases, of 12, 12 and 16 clusters. Any resident of an intervention cluster will be able to participate in the intervention, but the resource centers will target women and children, particularly women of reproductive age and children under 5.The outcomes will be assessed through a household census after 2 years of resource center operations. The primary outcomes are unmet need for family planning in women aged 15 to 49 years, proportion of children under 5 years of age not fully immunized for their ages, and proportion of children under 5 years of age with weight for height less than 2 standard deviations below the median for age and sex. Secondary outcomes describe adolescent pregnancies, home deliveries, receipt of conditional cash transfers for institutional delivery, other childhood anthropometric indices, use of public sector health and nutrition services, indices of infant and young child feeding, and consultation for violence against women and children. TRIAL REGISTRATION: ISRCTN Register: ISRCTN56183183Clinical Trials Registry of India: CTRI/2012/09/003004.


Subject(s)
Adolescent Health Services/organization & administration , Child Health Services/organization & administration , Community Health Centers/organization & administration , Community Health Services/organization & administration , Health Status , Poverty Areas , Research Design , Urban Health Services/organization & administration , Women's Health Services/organization & administration , Access to Information , Adolescent , Adult , Child Nutritional Physiological Phenomena , Child, Preschool , Community Health Workers/organization & administration , Counseling/organization & administration , Family Planning Services/organization & administration , Female , Health Promotion/organization & administration , Health Services Accessibility/organization & administration , House Calls , Humans , Immunization Programs/organization & administration , India , Male , Middle Aged , Organizational Objectives , Referral and Consultation/organization & administration , Young Adult
6.
Nutr J ; 11: 100, 2012 Nov 23.
Article in English | MEDLINE | ID: mdl-23173787

ABSTRACT

BACKGROUND: Chronic childhood malnutrition remains common in India. As part of an initiative to improve maternal and child health in urban slums, we collected anthropometric data from a sample of children followed up from birth. We described the proportions of underweight, stunting, and wasting in young children, and examined their relationships with age. METHODS: We used two linked datasets: one based on institutional birth weight records for 17 318 infants, collected prospectively, and one based on follow-up of a subsample of 1941 children under five, collected in early 2010. RESULTS: Mean birth weight was 2736 g (SD 530 g), with a low birth weight (<2500 g) proportion of 22%. 21% of infants had low weight for age standard deviation (z) scores at birth (<-2 SD). At follow-up, 35% of young children had low weight for age, 17% low weight for height, and 47% low height for age. Downward change in weight for age was greater in children who had been born with higher z scores. DISCUSSION: Our data support the idea that much of growth faltering was explained by faltering in height for age, rather than by wasting. Stunting appeared to be established early and the subsequent decline in height for age was limited. Our findings suggest a focus on a younger age-group than the children over the age of three who are prioritized by existing support systems. FUNDING: The trial during which the birth weight data were collected was funded by the ICICI Foundation for Inclusive Growth (Centre for Child Health and Nutrition), and The Wellcome Trust (081052/Z/06/Z). Subsequent collection, analysis and development of the manuscript was funded by a Wellcome Trust Strategic Award: Population Science of Maternal and Child Survival (085417ma/Z/08/Z). D Osrin is funded by The Wellcome Trust (091561/Z/10/Z).


Subject(s)
Birth Weight , Nutritional Status , Poverty Areas , Thinness/epidemiology , Body Height , Child, Preschool , Cluster Analysis , Female , Follow-Up Studies , Humans , India/epidemiology , Infant , Infant, Low Birth Weight , Infant, Newborn , Male , Prevalence , Prospective Studies , Surveys and Questionnaires
7.
PLoS Med ; 9(7): e1001257, 2012.
Article in English | MEDLINE | ID: mdl-22802737

ABSTRACT

INTRODUCTION: Improving maternal and newborn health in low-income settings requires both health service and community action. Previous community initiatives have been predominantly rural, but India is urbanizing. While working to improve health service quality, we tested an intervention in which urban slum-dweller women's groups worked to improve local perinatal health. METHODS AND FINDINGS: A cluster randomized controlled trial in 24 intervention and 24 control settlements covered a population of 283,000. In each intervention cluster, a facilitator supported women's groups through an action learning cycle in which they discussed perinatal experiences, improved their knowledge, and took local action. We monitored births, stillbirths, and neonatal deaths, and interviewed mothers at 6 weeks postpartum. The primary outcomes described perinatal care, maternal morbidity, and extended perinatal mortality. The analysis included 18,197 births over 3 years from 2006 to 2009. We found no differences between trial arms in uptake of antenatal care, reported work, rest, and diet in later pregnancy, institutional delivery, early and exclusive breastfeeding, or care-seeking. The stillbirth rate was non-significantly lower in the intervention arm (odds ratio 0.86, 95% CI 0.60-1.22), and the neonatal mortality rate higher (1.48, 1.06-2.08). The extended perinatal mortality rate did not differ between arms (1.19, 0.90-1.57). We have no evidence that these differences could be explained by the intervention. CONCLUSIONS: Facilitating urban community groups was feasible, and there was evidence of behaviour change, but we did not see population-level effects on health care or mortality. In cities with multiple sources of health care, but inequitable access to services, community mobilization should be integrated with attempts to deliver services for the poorest and most vulnerable, and with initiatives to improve quality of care in both public and private sectors. TRIAL REGISTRATION: Current Controlled Trials ISRCTN96256793


Subject(s)
Perinatal Care/statistics & numerical data , Perinatal Care/standards , Poverty Areas , Pregnancy Outcome/epidemiology , Residence Characteristics/statistics & numerical data , Cluster Analysis , Delivery of Health Care/statistics & numerical data , Female , Humans , India/epidemiology , Interviews as Topic , Morbidity , Perinatal Mortality , Postpartum Period , Pregnancy
8.
BMC Pregnancy Childbirth ; 12: 39, 2012 May 30.
Article in English | MEDLINE | ID: mdl-22646304

ABSTRACT

BACKGROUND: Three million babies are stillborn each year and 3.6 million die in the first month of life. In India, early neonatal deaths make up four-fifths of neonatal deaths and infant mortality three-quarters of under-five mortality. Information is scarce on cause-specific perinatal and neonatal mortality in urban settings in low-income countries. We conducted verbal autopsies for stillbirths and neonatal deaths in Mumbai slum settlements. Our objectives were to classify deaths according to international cause-specific criteria and to identify major causes of delay in seeking and receiving health care for maternal and newborn health problems. METHODS: Over two years, 2005-2007, births and newborn deaths in 48 slum areas were identified prospectively by local informants. Verbal autopsies were collected by trained field researchers, cause of death was classified by clinicians, and family narratives were analysed to investigate delays on the pathway to mortality. RESULTS: Of 105 stillbirths, 65 were fresh (62%) and obstetric complications dominated the cause classification. Of 116 neonatal deaths, 87 were early and the major causes were intrapartum-related (28%), prematurity (23%), and severe infection (22%). Bereavement was associated with socioeconomic quintile, previous stillbirth, and number of antenatal care visits. We identified 201 individual delays in 121/187 birth narratives (65%). Overall, delays in receiving care after arrival at a health facility dominated and were mostly the result of referral from one institution to another. Most delays in seeking care were attributed to a failure to recognise symptoms of complications or their severity. CONCLUSIONS: In Mumbai's slum settlements, early neonatal deaths made up 75% of neonatal deaths and intrapartum-related complications were the greatest cause of mortality. Delays were identified in two-thirds of narratives, were predominantly related to the provision of care, and were often attributable to referrals between health providers. There is a need for clear protocols for care and transfer at each level of the health system, and an emphasis on rapid identification of problems and communication between health facilities. TRIAL REGISTRATION: ISRCTN96256793.


Subject(s)
Cause of Death , Infant Mortality , Obstetric Labor Complications/mortality , Poverty Areas , Pregnancy Complications, Infectious/mortality , Stillbirth/epidemiology , Adult , Delayed Diagnosis/adverse effects , Female , Health Knowledge, Attitudes, Practice , Home Childbirth/statistics & numerical data , Hospitals, Private/statistics & numerical data , Hospitals, Public/statistics & numerical data , Humans , India/epidemiology , Infant, Newborn , Male , Obstetric Labor Complications/diagnosis , Patient Acceptance of Health Care/statistics & numerical data , Patient Transfer/statistics & numerical data , Pregnancy , Pregnancy Complications, Infectious/diagnosis , Premature Birth/diagnosis , Premature Birth/mortality , Prospective Studies , Referral and Consultation/statistics & numerical data , Urban Population/statistics & numerical data
9.
J Urban Health ; 88(5): 919-32, 2011 Oct.
Article in English | MEDLINE | ID: mdl-21487826

ABSTRACT

The communities who live in urban informal settlements are diverse, as are their environmental conditions. Characteristics include inadequate access to safe water and sanitation, poor quality of housing, overcrowding, and insecure residential status. Interventions to improve health should be equity-driven and target those at higher risk, but it is not clear how to prioritise informal settlements for health action. In implementing a maternal and child health programme in Mumbai, India, we had conducted a detailed vulnerability assessment which, though important, was time-consuming and may have included collection of redundant information. Subsequent data collection allowed us to examine three issues: whether community environmental characteristics were associated with maternal and newborn healthcare and outcomes; whether it was possible to develop a triage scorecard to rank the health vulnerability of informal settlements based on a few rapidly observable characteristics; and whether the scorecard might be useful for future prioritisation. The City Initiative for Newborn Health documented births in 48 urban slum areas over 2 years. Information was collected on maternal and newborn care and mortality, and also on household and community environment. We selected three outcomes-less than three antenatal care visits, home delivery, and neonatal mortality-and used logistic regression and classification and regression tree analysis to test their association with rapidly observable environmental characteristics. We developed a simple triage scorecard and tested its utility as a means of assessing maternal and newborn health risk. In analyses on a sample of 10,754 births, we found associations of health vulnerability with inadequate access to water, toilets, and electricity; non-durable housing; hazardous location; and rental tenancy. A simple scorecard based on these had limited sensitivity and positive predictive value, but relatively high specificity and negative predictive value. The scorecard needs further testing in a range of urban contexts, but we intend to use it to identify informal settlements in particular need of family health interventions in a subsequent program.


Subject(s)
Health Status Indicators , Mothers , Risk Assessment/methods , Vulnerable Populations , Female , Humans , India/epidemiology , Infant , Infant, Newborn , Population Surveillance/methods , Surveys and Questionnaires , Triage/methods
10.
BMC Public Health ; 11: 150, 2011 Mar 08.
Article in English | MEDLINE | ID: mdl-21385404

ABSTRACT

BACKGROUND: The cost of maternity care can be a barrier to access that may increase maternal and neonatal mortality risk. We analyzed spending on maternity care in urban slum communities in Mumbai to better understand the equity of spending and the impact of spending on household poverty. METHODS: We used expenditure data for maternal and neonatal care, collected during post-partum interviews. Interviews were conducted in 2005-2006, with a sample of 1200 slum residents in Mumbai (India). We analysed expenditure by socio-economic status (SES), calculating a Kakwani Index for a range of spending categories. We also calculated catastrophic health spending both with and without adjustment for coping strategies. This identified the level of catastrophic payments incurred by a household and the prevalence of catastrophic payments in this population. The analysis also gave an understanding of the protection from medical poverty afforded by coping strategies (for example saving and borrowing). RESULTS: A high proportion of respondents spent catastrophically on care. Lower SES was associated with a higher proportion of informal payments. Indirect health expenditure was found to be (weakly) regressive as the poorest were more likely to use wage income to meet health expenses, while the less poor were more likely to use savings. Overall, the incidence of catastrophic maternity expenditure was 41%, or 15% when controlling for coping strategies. We found no significant difference in the incidence of catastrophic spending across wealth quintiles, nor could we conclude that total expenditure is regressive. CONCLUSIONS: High expenditure as a proportion of household resources should alert policymakers to the burden of maternal spending in this context. Differences in informal payments, significantly regressive indirect spending and the use of savings versus wages to finance spending, all highlight the heavier burden borne by the most poor. If a policy objective is to increase institutional deliveries without forcing households deeper into poverty, these inequities will need to be addressed. Reducing out-of-pocket payments and better regulating informal payments should have direct benefits for the most poor. Alternatively, targeted schemes aimed at assisting the most poor in coping with maternal spending (including indirect spending) could reduce the household impact of high costs.


Subject(s)
Health Expenditures/trends , Maternal-Child Health Centers/statistics & numerical data , Poverty Areas , Adolescent , Adult , Child , Cross-Sectional Studies , Female , Financing, Personal/trends , Health Services Accessibility , Humans , India/epidemiology , Infant, Newborn , Interviews as Topic , Maternal Mortality/trends , Middle Aged , Salaries and Fringe Benefits/statistics & numerical data , Social Class , Young Adult
11.
Glob Public Health ; 6(7): 746-59, 2011.
Article in English | MEDLINE | ID: mdl-20981600

ABSTRACT

This study considers care-seeking patterns for maternal morbidity in Mumbai's slums. Our objectives were to document women's self-reported symptoms and care-seeking, and to quantify their choice of health provider, care-seeking delays and referrals between providers. The hypothesis that care-seeking sites for maternal morbidity mirror those used for antenatal care was also tested. We analysed data for 10,754 births in 48 slum areas and interviewed mothers about their illnesses and care-seeking during pregnancy. Institutional care-seeking was high across the board (>80%), and higher for 'trigger' symptoms suggestive of complications (>88%). Private-sector care was preferred, and increased with socio-economic status, although public providers also played an important role. Most women sought treatment at the same site they received their antenatal care, most were treated within 2 days, and less than 2% were referred to other providers. Our findings suggest that poor women in Mumbai recognise symptoms of obstetric complications and the need for health care. However, that more than 80% also sought care for minor conditions implies that the tendency to seek institutional care for serious conditions reflects a broader picture of care-seeking for all illnesses. The role of private health-care providers needs greater recognition, and further research is required on provider motivations and behaviour.


Subject(s)
Patient Acceptance of Health Care , Poverty Areas , Pregnancy Complications , Adolescent , Adult , Cross-Sectional Studies , Female , Humans , India , Interviews as Topic , Middle Aged , Pregnancy , Young Adult
12.
BMC Pregnancy Childbirth ; 10: 38, 2010 Jul 30.
Article in English | MEDLINE | ID: mdl-20670456

ABSTRACT

BACKGROUND: Around 86% of births in Mumbai, India, occur in healthcare institutions, but this aggregate figure hides substantial variation and little is known about urban home births. We aimed to explore factors influencing the choice of home delivery, care practices and costs, and to identify characteristics of women, households and the environment which might increase the likelihood of home birth. METHODS: As part of the City Initiative for Newborn Health, we used a key informant surveillance system to identify births prospectively in 48 slum communities in six wards of Mumbai, covering a population of 280,000. Births and outcomes were documented prospectively by local women and mothers were interviewed in detail at six weeks after delivery. We examined the prevalence of home births and their associations with potential determinants using regression models. RESULTS: We described 1708 (16%) home deliveries among 10,754 births over two years, 2005-2007. The proportion varied from 6% to 24%, depending on area. The most commonly cited reasons for home birth were custom and lack of time to reach a healthcare facility during labour. Seventy percent of home deliveries were assisted by a traditional birth attendant (dai), and 6% by skilled health personnel. The median cost of a home delivery was US$ 21, of institutional delivery in the public sector US$ 32, and in the private sector US$ 118. In an adjusted multivariable regression model, the odds of home delivery increased with illiteracy, parity, socioeconomic poverty, poorer housing, lack of water supply, population transience, and hazardous location. CONCLUSIONS: We estimate 32,000 annual home births to residents of Mumbai's slums. These are unevenly distributed and cluster with other markers of vulnerability. Since cost does not appear to be a dominant disincentive to institutional delivery, efforts are needed to improve the client experience at public sector institutions. It might also be productive to concentrate on intensive outreach in vulnerable areas by community-based health workers, who could play a greater part in helping women plan their deliveries and making sure that they get help in time.


Subject(s)
Decision Making , Fees and Charges , Financing, Personal , Home Childbirth/economics , Poverty Areas , Female , Humans , India , Logistic Models , Multivariate Analysis , Pregnancy , Prospective Studies , Urban Population
13.
Int J Equity Health ; 8: 21, 2009 Jun 05.
Article in English | MEDLINE | ID: mdl-19497130

ABSTRACT

BACKGROUND: Aggregate urban health statistics mask inequalities. We described maternity care in vulnerable slum communities in Mumbai, and examined differences in care and outcomes between more and less deprived groups. METHODS: We collected information through a birth surveillance system covering a population of over 280 000 in 48 vulnerable slum localities. Resident women identified births in their own localities and mothers and families were interviewed at 6 weeks after delivery. We analysed data on 5687 births over one year to September 2006. Socioeconomic status was classified using quartiles of standardized asset scores. RESULTS: Women in higher socioeconomic quartile groups were less likely to have married and conceived in their teens (Odds ratio 0.74, 95% confidence interval 0.69-0.79, and 0.82, 0.78-0.87, respectively). There was a socioeconomic gradient away from public sector maternity care with increasing socioeconomic status (0.75, 0.70-0.79 for antenatal care and 0.66, 0.61-0.71 for institutional delivery). Women in the least poor group were five times less likely to deliver at home (0.17, 0.10-0.27) as women in the poorest group and about four times less likely to deliver in the public sector (0.27, 0.21-0.35). Rising socioeconomic status was associated with a lower prevalence of low birth weight (0.91, 0.85-0.97). Stillbirth rates did not vary, but neonatal mortality rates fell non-significantly as socioeconomic status increased (0.88, 0.71-1.08). CONCLUSION: Analyses of this type have usually been applied across the population spectrum from richest to poorest, and we were struck by the regularly stepped picture of inequalities within the urban poor, a group that might inadvertently be considered relatively homogeneous. The poorest slum residents are more dependent upon public sector health care, but the regular progression towards the private sector raises questions about its quality and regulation. It also underlines the need for healthcare provision strategies to take account of both sectors.

14.
Int Health ; 1(1): 71-7, 2009 Sep.
Article in English | MEDLINE | ID: mdl-20119484

ABSTRACT

In many cities, healthcare is available through a complex mix of private and public providers. The line between the formal and informal sectors may be blurred and movement between them uncharted. We quantified the use of private and public providers of maternity care in low-income areas of Mumbai, India. We identified births among a population of about 300 000 in 48 vulnerable slum areas and interviewed women at 6 weeks after delivery. For 10,754 births in 2005-7, levels of antenatal care (93%) and institutional delivery (90%) were high. Antenatal care was split 50:50 between public and private providers, and institutional deliveries 60:40 in favour of the public sector. Women generally stayed within the sector and institution in which care began. Home births were common if women did not register in advance. The findings were at least superficially reassuring, and there was less movement than expected between sectors and health institutions. In the short term, we suggest an emphasis on birth preparedness for pregnant women and their families, and an effort to rationalize the process of referral between institutions. In the longer term, service improvement needs to acknowledge the private-public mix and work towards practicable regulation of quality in both sectors.

15.
Trials ; 9: 7, 2008 Feb 10.
Article in English | MEDLINE | ID: mdl-18261242

ABSTRACT

BACKGROUND: The United Nations Millennium Development Goals look to substantial improvements in child and maternal survival. Morbidity and mortality during pregnancy, delivery and the postnatal period are prime obstacles to achieving these goals. Given the increasing importance of urban health to global prospects, Mumbai's City Initiative for Newborn Health aims to improve maternal and neonatal health in vulnerable urban slum communities, through a combination of health service quality improvement and community participation. The protocol describes a trial of community intervention aimed at improving prevention, care seeking and outcomes. OBJECTIVE: To test an intervention that supports local women as facilitators in mobilising communities for better health care. Community women's groups will build an understanding of their potential to improve maternal and infant health, and develop and implement strategies to do so. DESIGN: Cluster-randomized controlled trial. METHODS: The intervention will employ local community-based female facilitators to convene groups and help them to explore maternal and neonatal health issues. Groups will meet fortnightly through a seven-phase process of sharing experiences, discussion of the issues raised, discovery of potential community strengths, building of a vision for action, design and implementation of community strategies, and evaluation.The unit of allocation will be an urban slum cluster of 1000-1500 households. 48 clusters have been randomly selected after stratification by ward. 24 clusters have been randomly allocated to receive the community intervention. 24 clusters will act as control groups, but will benefit from health service quality improvement. Indicators of effect will be measured through a surveillance system implemented by the project. Key distal outcome indicators will be neonatal mortality and maternal and neonatal morbidity. Key proximate outcome indicators will be home care practices, uptake of antenatal, delivery and postnatal care, and care for maternal and neonatal illness. Data will be collected through a vital registration system for births and deaths in the 48 study clusters. Structured interviews with families will be conducted at about 6 weeks after index deliveries. We will also collect both quantitative and qualitative data to support a process evaluation. TRIAL REGISTRATION: Current controlled trials ISRCTN96256793.

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