Effect of the Built Environment on the Cumulative Incidence of Acute Diarrheal Diseases: A Community-Based Cohort Study From Underprivileged Areas of Bhopal, India

Background Diarrhea is a major public health problem in under-five children worldwide. Various sociodemographic, environmental, and behavioral factors play a role in the occurrence of diarrheal disease in children under the age of five. This study aims to estimate the cumulative incidence of acute diarrheal diseases during a one-year study period and examine its association with the built environment factors among children under the age of five in selected underprivileged areas of Bhopal. Methodology We conducted this study in Bhopal, a city in central India. We surveyed the underprivileged dwellers of Vajpayee Nagar, Sanjay Nagar, and Mother India Colony of Bhopal city. This is a prospective cohort study with a one-year follow-up period to examine the cumulative incidence of acute diarrheal diseases among under-five-year-old children in the study area. Data were analyzed using SPSS version 25 (IBM Corp., Armonk, NY, USA). Results Data were collected from February 2021 to February 2022. A total of 658 families of eligible children were contacted to participate in the study. After excluding 38 participants for various reasons (denied consent: 3; lost to follow-up: 32; moved out of the study area: 3), data were finally analyzed for 620 participants. In the study among the under-five-year-old children, the cumulative incidence of acute diarrheal diseases was 23.8% (148 out of 620). In our study, lower age (adjusted odds ratio (OR) = 0.86, 95% confidence interval (CI) = 0.75-0.99, p = 0.041) and non-availability of flush latrine in the house (adjusted OR = 4.95, 95% CI = 1.80-13.59, p = 0.002) were statistically associated with a higher incidence of acute diarrheal disease among the study population. Conclusions In our investigation, we observed a cumulative incidence of diarrhea at 23.8% (148 out of 620) among the underprivileged under-five population residing in Bhopal, India. This incidence exhibited significant associations with younger age and the absence of in-house flush latrines.

Interventions to promote household waste segregation: A systematic review

Waste segregation at source, particularly at the household level, is an integral component of sustainable solid waste management, which is a critical public health issue. Although multiple interventions have been published, often with contradictory findings, few authors have conducted a comprehensive systematic synthesis of the published literature. Therefore, we undertook a systematic review to synthesize all published interventions conducted in any country in the world which targeted household-level waste segregation with or without additional focus on recycling or composting. Following PRISMA guidelines, Web of Science, Medline, Global Health, and Google Scholar were searched using a search strategy created by combining the keywords 'Waste', 'Segregation', and 'Household'. Two-stage blinded screening and consensus-based conflict resolution were done, followed by quality assessment, data extraction, and narrative synthesis. 8555 articles were identified through the database searches and an additional 196 through grey literature and citation searching. After excluding 2229 duplicates and screening title abstracts of 6522 articles, 283 full texts were reviewed, and 78 publications reporting 82 intervention studies were included in the data synthesis. High methodological heterogeneity was seen, excluding the possibility of a meta-analysis. Most (n = 60) of the interventions were conducted in high-income countries. Interventions mainly focused on information provision. However, differences in the content of information communicated and mode of delivery have not been extensively studied. Finally, our review showed that the comparison of informational interventions with provision of incentives and infrastructural modifications needs to be explored in-depth. Future studies should address these gaps and, after conducting sufficient formative research, should aim to design their interventions following the principles of behaviour change.

Composition analysis (pick analysis) of waste generated from household: A pilot study in Ujjain city, India

Waste segregation is an essential function in improving waste management. Waste segregation not only facilitates recycling and reduces waste going to landfills, rather it can benefit our environment and human in various ways. A pick analysis of waste composition is used to characterize the household waste stream and thus can analyze the segregation rate among the residents. In addition, it can measure the actual waste sorting behaviour at the household/community level. The objective of the study was to assess feasibility of a large-scale waste composition study, identify methodological and operational challenges, and estimate the resources needed to conduct the main waste composition study in order to obtain and get indicative figures about waste generation, composition, and miss-sorted proportions. The study team went door-to-door to collect waste in colour coded bags. We also collected the socio-demographic data of the households. The collected waste was weighed and segregated to analyze the waste composition. The analysis was done among 45 households, and it was found that the per capita waste generation per day is 0.25 kg (0.24 kg from slum and 0.27 kg from non-slum). Challenges identified in conducting waste composition study were lack of standard waste fraction classifications, difficulty in recruitment of personnel to conduct study due to social taboo around waste, challenge in co-coordinating with Ujjain Municipal Corporation waste collection vehicle for collection of waste. 53 household activities were completed in 5 and half hours with INR 24685 (USD 300.5). Pick analysis could be adopted by the Ujjain Municipal Corporation after cost effective analysis to generate precise estimate of waste generation, resource recovery, efficient resource allocation and will help in future interventions and informed policy decision making to improve segregation.

Survival Analysis for Cohort of Bhopal Gas Disaster Victims during 1985-2015

Context

After the gas tragedy on the night of December 2/3, 1984, at Bhopal, the Indian Council of Medical Research (ICMR) started following up on four population cohorts with different levels of post-disaster mortality from December 3-6, 1984.

Aims

The present study was undertaken to estimate the survival time of the cohort, and investigate the risk of mortality based on exposure, gender, and median age.

Settings and Design

Survival analysis is generally used to evaluate factors associated with the time to an event of failure or death among any covered population.

Methods and Materials

To know the cause of death and mortality rate, a retrospective cohort analysis was conducted on the outcomes of 92,320 individuals with an exposed and non-exposed group from 1985 to 2015 in Bhopal, India.

Statistical Analysis Used

Basic survival analysis method, Kaplan-Meier method, and Cox proportional hazard regression model were used to analyze the mortality risk.

Results

During the past 30 years, the survivability was 87.25%, and the mortality rate was 7.2% for the cohort population of Bhopal gas survivors. Cox regression analysis showed that exposed, males, and individuals above 21 years (at the time of the disaster) were at higher risk of mortality from 1985 to 2015.

Conclusions

During the initial two phases, the mortality was higher in the exposed group, but over time, their survival turned out to be the same in both groups.

COVID-19 testing, timeliness and positivity from ICMR's laboratory surveillance network in India: Profile of 176 million individuals tested and 188 million tests, March 2020 to January 2021

Background

The Indian Council of Medical Research set up a pan-national laboratory network to diagnose and monitor Coronavirus disease 2019 (COVID-19). Based on these data, we describe the epidemiology of the pandemic at national and sub-national levels and the performance of the laboratory network.

Methods

We included surveillance data for individuals tested and the number of tests from March 2020 to January 2021. We calculated the incidence of COVID-19 by age, gender and state and tests per 100,000 population, the proportion of symptomatic individuals among those tested, the proportion of repeat tests and test positivity. We computed median (Interquartile range—IQR) days needed for selected surveillance activities to describe timeliness.

Results

The analysis included 176 million individuals and 188 million tests. The overall incidence of COVID-19 was 0.8%, and 12,584 persons per 100,000 population were tested. 6.1% of individuals tested returned a positive result. Ten of the 37 Indian States and Union Territories accounted for about 75.6% of the total cases. Daily testing scaled up from 40,000 initially to nearly one million in March 2021. The median duration between symptom onset and sample collection was two (IQR = 0,3) days, median duration between both sample collection and testing and between testing and data entry were less than or equal to one day. Missing or invalid entries ranged from 0.01% for age to 0.7% for test outcome.

Conclusion

The laboratory network set-up by ICMR was scaled up massively over a short period, which enabled testing a large section of the population. Although all states and territories were affected, most cases were concentrated in a few large states. Timeliness between the various surveillance activities was acceptable, indicating good responsiveness of the surveillance system.

Effects of improved information and volunteer support on segregation of solid waste at the household level in urban settings in Madhya Pradesh, India (I-MISS): protocol of a cluster randomized controlled trial

Background

Segregation of household waste at the source is an effective and sustainable strategy for management of municipal waste. However, household segregation levels remain insufficient as waste management approaches are mostly top down and lack local support. The realisation and recognition of effective, improved and adequate waste management may be one of the vital drivers for attaining environmental protection and improved health and well-being. The presence of a local level motivator may promote household waste segregation and ultimately pro-environmental behaviour. The present cluster randomized control trial aims to understand if volunteer based information on waste segregation (I-MISS) can effectively promote increased waste segregation practices at the household level when compared with existing routine waste segregation information in an urban Indian setting.

Methods

This paper describes the protocol of an 18 month two-group parallel,cluster randomised controlled trialin the urban setting of Ujjain, Madhya Pradesh, India. Randomization will be conducted at ward level, which is the last administrative unit of the municipality. The study will recruit 425 households in intervention and control groups. Assessments will be performed at baseline (0 months), midline (6 months), end line (12 months) and post intervention (18 months). The primary outcome will be the comparison of change in proportion of households practicing waste segregation and change in proportion of mis-sorted waste across the study period between the intervention and control groups as assessed by pick analysis. Intention to treat analysis will be conducted. Written informed consent will be obtained from all participants.

Discussion

The present study is designed to study whether an external motivator, a volunteer selected from the participating community and empowered with adequate training, could disseminate waste segregation information to their community, thus promoting household waste segregation and ultimately pro-environmental behaviour. The study envisages that the volunteers could link waste management service providers and the community, give a local perspective to waste management, and help to change community habits through information, constant communication and feedback.

Trial registration

The study is registered prospectively with Indian Council of Medical Research- Clinical Trial Registry of India (CTRI/2020/03/024278).

Morbidity profile of communities in Bhopal city (India) vis-à-vis distance of residence from Union Carbide India Limited plant and drinking water usage pattern

Objective:

A cross-sectional study was undertaken to assess the prevalence of morbidities in communities residing at variable distances from the closed down insecticide manufacturing plant premises of Union Carbide India Limited (UCIL), Bhopal, India and to determine association of morbidities, if any, with their drinking water usage pattern and distance of localities from the UCIL plant.

Materials and Methods:

A total of 10,827 individuals belonging to 2,184 families, residing within 0-1 km (Stratum I) and 2.5-5.0 km (Stratum II) radial distances from UCIL plant were surveyed and 9,306 of them (86%) were clinically examined. Data were analyzed to examine the association between the groups of morbidities, likely due to biological and chemical water contamination, and the distance of locality from the UCIL plant. Multiple logistic regression was used to explore the risk factors for morbidities.

Results:

Nearly similar prevalence (25.3% in stratum I, 25.8% in stratum II) and the trend of all-cause morbidities were recorded in the two strata. While morbidities related to gastrointestinal tract system (P < 0.05), auditory system (P < 0.01), neoplasm/cancers (P < 0.01) and congenital anomalies (P < 0.01) were significantly higher in stratum I, the prevalence of hypertension (6.4% stratum II, 4.7% stratum I; P < 0.01) and diabetes mellitus (3.4% stratum II, 2.0% stratum I; P < 0.001) was found significantly higher in stratum II. No association (P > 0.05) was observed between the prevalence of morbidities, likely due to the consumption of biologically or chemically contaminated drinking water, and the distance of locality/stratum from the UCIL plant.

Discussion and Conclusion:

By and large similar pattern of morbidities were recorded in the two strata suggesting that the communities, irrespective of the distance of their residences from UCIL plant or sources of their drinking water, are equally vulnerable to various morbidities.

The impact of air pollution on deaths, disease burden, and life expectancy across the states of India: the Global Burden of Disease Study 2017

BACKGROUND

Air pollution is a major planetary health risk, with India estimated to have some of the worst levels globally. To inform action at subnational levels in India, we estimated the exposure to air pollution and its impact on deaths, disease burden, and life expectancy in every state of India in 2017.

METHODS

We estimated exposure to air pollution, including ambient particulate matter pollution, defined as the annual average gridded concentration of PM2.5, and household air pollution, defined as percentage of households using solid cooking fuels and the corresponding exposure to PM2.5, across the states of India using accessible data from multiple sources as part of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017. The states were categorised into three Socio-demographic Index (SDI) levels as calculated by GBD 2017 on the basis of lag-distributed per-capita income, mean education in people aged 15 years or older, and total fertility rate in people younger than 25 years. We estimated deaths and disability-adjusted life-years (DALYs) attributable to air pollution exposure, on the basis of exposure-response relationships from the published literature, as assessed in GBD 2017; the proportion of total global air pollution DALYs in India; and what the life expectancy would have been in each state of India if air pollution levels had been less than the minimum level causing health loss.

FINDINGS

The annual population-weighted mean exposure to ambient particulate matter PM2·5 in India was 89·9 μg/m3 (95% uncertainty interval [UI] 67·0-112·0) in 2017. Most states, and 76·8% of the population of India, were exposed to annual population-weighted mean PM2·5 greater than 40 μg/m3, which is the limit recommended by the National Ambient Air Quality Standards in India. Delhi had the highest annual population-weighted mean PM2·5 in 2017, followed by Uttar Pradesh, Bihar, and Haryana in north India, all with mean values greater than 125 μg/m3. The proportion of population using solid fuels in India was 55·5% (54·8-56·2) in 2017, which exceeded 75% in the low SDI states of Bihar, Jharkhand, and Odisha. 1·24 million (1·09-1·39) deaths in India in 2017, which were 12·5% of the total deaths, were attributable to air pollution, including 0·67 million (0·55-0·79) from ambient particulate matter pollution and 0·48 million (0·39-0·58) from household air pollution. Of these deaths attributable to air pollution, 51·4% were in people younger than 70 years. India contributed 18·1% of the global population but had 26·2% of the global air pollution DALYs in 2017. The ambient particulate matter pollution DALY rate was highest in the north Indian states of Uttar Pradesh, Haryana, Delhi, Punjab, and Rajasthan, spread across the three SDI state groups, and the household air pollution DALY rate was highest in the low SDI states of Chhattisgarh, Rajasthan, Madhya Pradesh, and Assam in north and northeast India. We estimated that if the air pollution level in India were less than the minimum causing health loss, the average life expectancy in 2017 would have been higher by 1·7 years (1·6-1·9), with this increase exceeding 2 years in the north Indian states of Rajasthan, Uttar Pradesh, and Haryana.

INTERPRETATION

India has disproportionately high mortality and disease burden due to air pollution. This burden is generally highest in the low SDI states of north India. Reducing the substantial avoidable deaths and disease burden from this major environmental risk is dependent on rapid deployment of effective multisectoral policies throughout India that are commensurate with the magnitude of air pollution in each state.

FUNDING

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

Medicosocial characteristics as predictors of school achievements in students with intellectual and developmental disabilities: A follow-up study in ujjain and shajapur districts of Madhya Pradesh, India

Background

For a long time, there have been arguments about which factors influence the skill development of students with intellectual disability in rehabilitation centers.

Objective

The present follow-up study was thus planned to analyze the effect of the demographic variables related to disabled child, his/her parents and the family; their schooling pattern and types of study settings and the associated comorbidities on improvement in the performance score of students attending these study settings in one academic year.

Methods

The study was conducted among children (n = 204) with intellectual disability receiving rehabilitation services in centers run by a nongovernmental organization in two districts of Central India.

Results

: Application of regression analysis concluded that among various hypothesized factors higher birth order, more time spent by parents for child's development at home, high performing classes, absence of epilepsy, psychiatric comorbidities, and associated physically challenged were significantly associated with improvement in overall mean performance score.

Conclusions

: The study delineates the need to motivate parents, so that they can involve themselves to develop their child's full potential. Identification of associated comorbidities is recommended and parents need to be appraised accordingly.

Bypassing health facilities for childbirth in the context of the JSY cash transfer program to promote institutional birth: A cross-sectional study from Madhya Pradesh, India

Bypassing health facilities for childbirth can be costly both for women and health systems. There have been some reports on this from Sub-Saharan African and from Nepal but none from India. India has implemented the Janani Suraksha Yojana (JSY), a large national conditional cash transfer program which has successfully increased the number of institutional births in India. This paper aims to study the extent of bypassing the nearest health facility offering intrapartum care in three districts of Madhya Pradesh, India, and to identify individual and facility determinants of bypassing in the context of the JSY program. Our results provide information to support the optimal utilization of facilities at different levels of the healthcare system for childbirth. Data was collected from 96 facilities (74 public) and 720 rural mothers who delivered at these facilities were interviewed. Multilevel logistic regression was used to analyze the data. Facility obstetric care functionality was assessed by the number of emergency obstetric care (EmOC) signal functions performed in the last three months. Thirty eighth percent of the mothers bypassed the nearest public facility for their current delivery. Primiparity, higher education, arriving by hired transport and a longer distance from home to the nearest facility increased the odds of bypassing a public facility for childbirth. The variance partition coefficient showed that 37% of the variation in bypassing the nearest public facility can be attributed to difference between facilities. The number of basic emergency obstetric care signal functions (AOR = 0.59, 95% CI 0.37–0.93), and the availability of free transportation at the nearest facility (AOR = 0.11, 95% CI 0.03–0.31) were protective factors against bypassing. The variation between facilities (MOR = 3.85) was more important than an individual’s characteristics to explain bypassing in MP. This multilevel study indicates that in this setting, a focus on increasing the level of emergency obstetric care functionality in public obstetric care facilities will allow more optimal utilization of facilities for childbirth under the JSY program thereby leading to better outcomes for mothers.

Mapping the Characteristics of Critical Care Facilities: Assessment, Distribution, and Level of Critical Care Facilities from Central India

Background

In low- and middle-income countries such as India, where health systems are weak, the number of available Critical Care Unit (Intensive Care Unit [ICU]) beds is expected to be low. There is no study from the Indian subcontinent that has reported the characteristics and distribution of existing ICUs. We performed this study to understand the characteristics and distribution of ICUs in Madhya Pradesh (MP) state of Central India. We also aimed to develop a consensus scoring system and internally validate it to define levels of care and to improve health system planning and to strengthen referral networks in the state.

Methods

We obtained a list of potential ICU facilities from various sources and then performed a cross-sectional survey by visiting each facility and determining characteristics for each facility. We collected variables with respect to infrastructure, human resources, equipment, support services, procedures performed, training courses conducted, and in-place policies or standard operating procedure documents.

Results

We identified a total of 123 ICUs in MP. Of 123 ICUs, 35 were level 1 facilities, 74 were level 2 facilities, and only 14 were level 3 facilities. Overall, there were 0.17 facilities per 100,000 population (95* confidence interval [CI] 0.14-0.20 per 100,000 populations). There were a total of 1816 ICU beds in the state, with an average of 2.5 beds per 100,000 population (95* CI 2.4-2.6 per 100,000 population). Of the total number of ICU beds, 250 are in level 1, 1141 are in level 2, and 425 are in level 3 facilities. This amounts to 0.34, 1.57, and 0.59 ICU beds per 100,000 population for levels 1, 2, and 3, respectively.

Conclusion

This study could just be an eye opener for our healthcare authorities at both state and national levels to estimate the proportion of ICU beds per lac population. Similar mapping of intensive care services from other States will generate national data that is hitherto unknown.

A study of spatial and meteorological determinants of dengue outbreak in Bhopal City in 2014

BACKGROUND & OBJECTIVES

Dengue epidemics have been linked to various climatic and environmental factors. Dengue cases are often found in clusters; identification of these clusters in early phase of epidemic can help in efficient control by implementing suitable public health interventions. In year 2014, Bhopal City in Madhya Pradesh, India witnessed an outbreak of dengue with 729 recorded cases. This study reports spatial and meteorological determinants and, demographic and clinical characteristics of the dengue outbreak in Bhopal City.

METHODS

A cross-sectional survey of all confirmed cases reported to District Unit of Integrated Disease Surveillance Programme (IDSP), Bhopal was carried out during June to December 2014. Data pertaining to clinical manifestations, health seeking and expenditure were collected by visiting patient's residence. Geographic locations were recorded through GPS enabled mobile phones. Meteorological data was obtained from Indian Meteorological Department website. Multiple linear regression analysis was used to test influence of meteorological variables on number of cases. Clustering was investigated using average nearest neighbour tool and hot-spot analysis or Getis- Ord Gi* statistic was calculated using ArcMap 10.

RESULTS

The incidence of confirmed dengue as per IDSP reporting was 38/100,000 population (95% CI, 35.2- 40.7), with at least one case reported from 73 (86%) of the total 85 wards. Diurnal temperature variation, relative humidity and rainfall were found to be statistically significant predictors of number of dengue cases on multiple linear regressions. Statistically significant hot-spots and cold-spots among wards were identified according to dengue case density.

INTERPRETATION & CONCLUSION

Seasonal meteorological changes and sustained vector breeding contributed to the dengue epidemic in the post-monsoon period. Cases were found in geographic clusters, and therefore, findings of this study reiterate the importance of spatial analysis for understanding the pace of outbreak and identification of hot-spots.

The availability of emergency obstetric care in the context of the JSY cash transfer programme in Madhya Pradesh, India

Background

Since 2005, India has implemented a national cash transfer programme, the Janani Suraksha Yojana (JSY), which provides women a cash transfer upon giving birth in an existing public facility. This has resulted in a steep rise in facility births across the country. The early years of the programme saw efforts being made to strengthen the ability of facilities to provide obstetric care. Given that the JSY has been able to draw millions of women into facilities to give birth (there have been more than 50 million beneficiaries thus far), it is important to study the ability of these facilities to provide emergency obstetric care (EmOC), as the functionality of these facilities is critical to improved maternal and neonatal outcomes. We studied the availability and level of provision of EmOC signal functions in public facilities implementing the JSY programme in three districts of Madhya Pradesh (MP) state, central India. These are measured against the World Health Report (WHR) 2005benchmarks. As a comparison, we also study the functionality and contribution of private sector facilities to the provision of EmOC in these districts.

Methods

A cross-sectional survey of all healthcare facilities offering intrapartum care was conducted between February 2012 and April 2013. The EmOC signal functions performed in each facility were recorded, as were human resource data and birth numbers for each facility.

Results

A total of 152 facilities were surveyed of which 118 were JSY programme facilities. Eighty-six percent of childbirths occurred at programme facilities, two thirds of which occurred at facilities that did not meet standards for the provision basic emergency obstetric care. Of the 29 facilities that could perform caesareans, none could perform all the basic EmOC functions. Programme facilities provided few EmOC signal functions apart from parenteral antibiotic or oxytocic administration. Complicated EmOC provision was found predominantly in non-programme (private) facilities; only one of six facilities able to provide such care was in the public sector and therefore in the JSY programme. Only 13 % of all qualified obstetricians practiced at programme facilities.

Conclusions

Given the high proportion of births in public facilities in the state, the JSY programme has an opportunity to contribute to the reduction in maternal and perinatal mortality However, for the programme to have a greater impact on outcomes; EmOC provision must be significantly improved.. While private, non-programme facilities have better human resources and perform caesareans, most women in the state give birth under the JSY programme in the public sector. A demand-side programme such as the JSY will only be effective alongside an adequate supply side (i.e., a facility able to provide EmOC).

Availability and distribution of safe abortion services in rural areas: a facility assessment study in Madhya Pradesh, India

Background

Unsafe abortion contributes to a significant portion of maternal mortality in India. Access to safe abortion care is known to reduce maternal mortality. Availability and distribution of abortion care facilities can influence women's access to these services, especially in rural areas.

Objectives

To assess the availability and distribution of abortion care at facilities providing childbirth care in three districts of Madhya Pradesh (MP) province of India.

Design

Three socio demographically heterogeneous districts of MP were selected for this study. Facilities conducting at least 10 deliveries a month were surveyed to assess availability and provision of abortion services using UN signal functions for emergency obstetric care. Geographical Information System was used for visualisation of the distribution of facilities.

Results

The three districts had 99 facilities that conducted >10 deliveries a month: 74 in public and 25 in private sector. Overall, 48% of facilities reported an ability to provide safe surgical abortion service. Of public centres, 32% reported the ability compared to 100% among private centres while 18% of public centres and 77% of private centres had performed an abortion in the last 3 months. The availability of abortion services was higher at higher facility levels with better equipped and skilled personnel availability, in urban areas and in private sector facilities.

Conclusions

Findings showed that availability of safe abortion care is limited especially in rural areas. More emphasis on providing safe abortion services, particularly at primary care level, is important to more significantly dent maternal mortality in India.

Mapping the rapid expansion of India's medical education sector: planning for the future

BACKGROUND

India has witnessed rapid growth in its number of medical schools over the last few decades, particularly in recent years. One dominant feature of this growth has been expansion in the private medical education sector. At this point it is relevant to trace historically and geographically the changing role of public and private sectors in Indian medical education system.

METHODS

The information on medical schools and sociodemographic indicators at provincial, district and sub-district (taluks) level were retrieved from available online databases. A digital map of medical schools was plotted on a geo-referenced map of India. The growth of medical schools in public and private sectors was tracked over last seven decades using line diagrams and thematic maps. The growth of medical schools in context of geographic distribution and access across the poorer and relatively richer provinces as well as the country's districts and taluks was explored using geographic information system. Finally candidate geographic areas, identified for intervention from equity perspective were plotted on the map of India.

RESULTS

The study presents findings of 355 medical schools in India that enrolled 44250 students in 2012. Private sector owned 195 (54.9%) schools and enrolled 24205 (54.7%) students in the same year. The 18 poorly performing provinces (population 620 million, 51.3%) had only 94 (26.5%) medical schools. The presence of the private sector was significantly lower in poorly performing provinces where it owned 38 (40.4%) medical schools as compared to 157 (60.2%) schools in better performing provinces. The distances to medical schools from taluks in poorly performing provinces were longer [median 65.1 kilometres (km)] than from taluks in better performing provinces (median 41.2 km). Taluks farthest from a medical school were, situated in economically poorer districts with poor health indicators, a lower standard of living index and low levels of urbanization.

CONCLUSIONS

The distribution of medical schools in India is skewed in the favour of areas (provinces, districts and taluks) with better indicators of health, urbanization, standards of living and economic prosperity. This particular distribution was most evident in the case of private sector schools set up in recent decades.

A spatial analysis to study access to emergency obstetric transport services under the public private "Janani Express Yojana" program in two districts of Madhya Pradesh, India

BACKGROUND

The government in Madhya Pradesh (MP), India in 2006, launched "Janani Express Yojana" (JE), a decentralized, 24X7, free emergency transport service for all pregnant women under a public-private partnership. JE supports India's large conditional cash transfer program, the "Janani Suraksha Yojana" (JSY) in the province and transports on average 60,000 parturients to hospital every month. The model is a relatively low cost one that potentially could be adopted in other parts of India and South Asia. This paper describes the uptake, time taken and geographic equity in access to the service to transport women to a facility in two districts of MP.

METHODS

This was a facility based cross sectional study. We interviewed parturients (n = 468) who delivered during a five day study period at facilities with >10 deliveries/month (n = 61) in two study districts. The women were asked details of transportation used to arrive at the facility, time taken and their residential addresses. These details were plotted onto a Geographic Information System (GIS) to estimate travelled distances and identify statistically significant clusters of mothers (hot spots) reporting delays >2 hours.

RESULTS

JE vehicles were well dispersed across the districts and used by 236 (50.03%) mothers of which 111(47.03%) took >2 hours to reach a facility. Inability of JE vehicle to reach a mother in time was the main reason for delays. There was no correlation between the duration of delay and distance travelled. Maps of the travel paths and travel duration of the women are presented. The study identified hot spots of mothers with delays >2 hours and explored the possible reasons for longer delays.

CONCLUSIONS

The JE service was accessible in all parts of the districts. Relatively high utilization rates of JE indicate that it ably supported JSY program to draw more women for institutional deliveries. However, half of the JE users experienced long (>2 hour) delays. The delayed mothers clustered in difficult terrains of the districts. Additional support particularly for the identified hot spots, enhanced monitoring by state agencies and GIS tools can facilitate better effectiveness of the JE program.