Maternal Age at Childbirth and Perinatal and Under-five Mortality in a Prospective Birth Cohort from Delhi.

Objective: To evaluate the relationship between maternal age at child birth, and perinatal and under-five mortality. Design: Prospective birth cohort. Setting: Urban community. Participants: 9169 pregnancies in the New Delhi Birth Cohort resulted in 8181 live births. These children were followed for survival status and anthropometric measurements at birth (+3 days), 3,6,9 and 12 months (7 days), and every 6 months thereafter until 21 years age. Information on maternal age at child birth and socio-demographic profile was also obtained. Outcome measures: Offspring mortality from 28 weeks gestation till 5 years age. Results: Offspring mortality (stillbirths – 5 years; n=328) had a U-shaped association with maternal age (P<0.001). Compared to the reference group (20-24 years), younger (£19 years) and older (³ 35 years) maternal ages were associated with a higher risk of offspring mortality (HR: 1.68; 95% CI 1.16, 2.43 and HR 1.48; 95% CI 1.01, 2.16, respectively). In young mothers, the increased risk persisted after adjustment for socio-economic confounders (maternal education, household income and wealth; HR 1.51; 95% CI 1.03, 2.20) and further for additional behavioral (place of delivery) and biological mediators (gestation and birthweight) (HR 2.14; 95% CI 1.25,3.64). Similar associations were documented for post-perinatal deaths but for perinatal mortality the higher risk was not statistically significant (P >0.05). In older mothers, the increased mortality risk was not statistically significant (P >0.05) after adjustment for socio-economic confounders. Conclusion: Young motherhood is associated with an increased risk of post-perinatal mortality and measures to prevent early childbearing should be strengthened.

The upgraded Clinical Trials Registry India: a summary of changes.

The Clinical Trials Registry-India (CTRI) was launched on July 20, 2007 and since then has grown to become a significant contributor to the global pool of accessible clinical trial data. Trial registration in the CTRI is now mandatory. Currently more than 1,800 trials are registered in the CTRI.

Inverse sampling to study disease burden of leprosy.

Background & objective: Estimation of disease burden due to leprosy by conventional sampling procedure is difficult due to large sample size requirement. In such situation, inverse sampling procedure could be a choice. A pilot study was undertaken to study the feasibility of adopting inverse sampling procedure over conventional sampling in an endemic area of Uttar Pradesh, India. Method: Two community development blocks one with low endemic, namely, Fatehganj, and other high endemic, Ramnagar, in Bareilly district of Uttar Pradesh, India, were selected. The Inverse sampling was adopted in Fatehganj and conventional cluster sampling was used in Ramnagar. As per the design of inverse sampling, 25 new cases of leprosy were to be detected from a population that could provide the cases. Under conventional sampling, a sample of 44,000 subjects (population) was targeted for the survey. Results: In Fatehganj, 25 new cases of leprosy were detected from a sample of 14734 individuals. In Ramnagar, a total of 63 new cases of leprosy were found after covering a sample of 44686 individuals. Both the techniques provided similar estimates. The precision obtained under inverse sampling was though less than that under conventional sampling but found to be more feasible and suitable for estimation of leprosy due to less population covered, time and cost. Interpretation & conclusion: Our findings showed that inverse sampling was advantageous over conventional sampling and could be adopted for the large scale survey at national level.

Risk factors for maternal mortality in Delhi slums: A community-based case-control study.

BACKGROUND: In order to develop, implement and evaluate policy for reducing maternal mortality, it is essential to study the risk factors associated with maternal deaths. AIMS: The study aims to determine the epidemiological risk factors and its related causes associated with maternal deaths in Delhi slums. MATERIALS AND METHODS: A community-based case-control study was designed, wherein snowball-sampling method was used to identify the maternal deaths (cases) in the community and circular systematic random sampling procedure was used to select the controls from the same area where a maternal death was found. STATISTICAL ANALYSIS: Data on 70 cases and 384 controls that had live births as the outcome of the pregnancy were analyzed. Logistic regression was applied to identify the risk factors. RESULTS: In the study population, most of the deliveries were conducted at home by untrained 'dais.' Cases were mostly illiterate, young, having high parity and no antenatal care taken during pregnancy (P CONCLUSIONS: The study findings suggest that women should be educated about the importance of antenatal registration and regular checkups. Untrained 'dais' should be trained to recognize the obstetric complications at an early stage and refer high-risk cases for adequate management. These preventive measures could help in reducing maternal mortality at the community level.

House-to-house survey vs. snowball technique for capturing maternal deaths in India: a search for a cost-effective method.

BACKGROUND & OBJECTIVE: Estimation of maternal mortality has been difficult because of large sample size requirement. A study using snowball technique for identification of households where maternal death has taken place and its related causes was conducted. We present here the feasibility of carrying out the snowball technique for capturing maternal deaths as against house-to-house survey and to obtain the estimates of maternal mortality ratio (MMR) in some selected States of India. METHODS: Five states representing high MMR (Uttar Pradesh), medium MMR (Maharashtra, Karnataka, Uttranchal) and low MMR (Delhi) were selected. A total of 8 PHCs and 3 (UFS) were covered. Study used both house-to-house survey and snowball technique to enumerate the maternal deaths in the selected PHCs in rural area and urban frame survey (UFS) in urban area. RESULTS: In all, 94 maternal deaths were captured through snowball technique as against 83 through house-to-house survey. The estimate of MMR for the five States combined was 356 per 100,000 live births, as compared to assumed 400 per 100,000 live births for the country as a whole. The relative standard error of the estimate of MMR was about 10 per cent. INTERPRETATION & CONCLUSION: Snowball technique captured more maternal deaths than those in house-to-house survey particularly in rural areas. The estimates also indicated the feasibility of replicating the proposed methodology for estimation of MMR as a time and cost-effective methodology.