Establishment of a Maternal Newborn Health Registry in the Belgaum District of Karnataka, India.

BACKGROUND: Pregnancy-related vital registration is important to inform policy to reduce maternal, fetal and newborn mortality, yet few systems for capturing accurate data are available in low-middle income countries where the majority of the mortality occurs. Furthermore, methods to effectively implement high-quality registration systems have not been described. The goal of creating the registry described in this paper was to inform public health policy makers about pregnancy outcomes in our district so that appropriate interventions to improve these outcomes could be undertaken and to position the district to be a leader in pregnancy-related public health research. METHODS: We created a prospective maternal and newborn health registry in Belgaum, Karnataka State, India. To initiate this registry, we worked with the Ministry of Health to first establish estimated birth rates and define the catchment areas of the clusters, working within the existing health system and primary health centers. We also undertook household surveys to identify women likely to become pregnant. We then implemented monitoring measures to ensure high quality and completeness of the maternal newborn health registry. All pregnant women in the catchment area were identified, consented and enrolled during pregnancy, with follow-up visits to ascertain pregnancy outcomes and mother/infant status at 42-days postpartum. RESULTS: From 2008 through 2014, we demonstrated continued improvements in both the coverage for enrollment and accuracy of reporting pregnancy outcomes within the defined catchment area in Belgaum, India. Nearly 100% of women enrolled had follow-up at birth and 99% had 42-day follow-up. Furthermore, we facilitated earlier enrollment of women during pregnancy while achieving more timely follow-up and decreased time of reporting from the date of the pregnancy event. CONCLUSIONS: We created a pregnancy-related registry which includes demographic data, risk factors, and outcomes allowing for high rates of ascertainment and follow-up while working within the existing health system. Understanding the elements of the system used to create the registry is important to improve the quality of the results. Tracking of pregnancies and their outcomes is an important step toward reducing maternal and perinatal mortality.

COVID-19 pandemic and its average recovery time in Indian states.

BACKGROUND: Many studies have been carried out in modelling COVID-19 pandemic. However, region-wise average duration of recovery from COVID-19 has not been attempted; hence, an effort has been made to estimate state-wise recovery duration of India's COVID-19 patients. Determining the recovery time in each region is intended to assist healthcare professionals in providing better care and planning of logistics. METHODS: This study used database provided by Kaggle, which takes data from the Ministry of Health & Family Welfare. The simple Linear Regression model between incidence, prevalence, and duration was used to assess the duration of COVID-19 disease in various Indian states. RESULTS: The fitted model suits ideal for most of the states, except for some union territories and northeastern states. The average time to recover from disease was ranging from 5 to 36 days in Indian states/union territories except for Madhya Pradesh. Tamil Nadu has an average recovery time of 7 days with an value of 0.96, followed by Odisha, Karnataka, West Bengal, Kerala and Chhattisgarh and the average recovery duration was estimated as 7, 13, 17, 11, 14 and 12 days respectively. CONCLUSION: The average recovery from COVID-19 was ten or less days in twenty percentage of states, whereas in forty-four percentage of states/union territories had an average recovery duration between ten to twenty days. However, around twentyfour percentage of states/union territory recovered between twenty to thirty days. In the rest of Indian states/union territories, the average duration of recovery was more than thirty days.

Age at menopause in India: A systematic review.

BACKGROUND AND AIMS: Menopause is a physiological process in nature and hence, variations in the age of menopause are not expected. Hence, the study was conducted with an objective to calculate the reliable estimates of age at menopause for India, and understand the differentials in women's age at menopause throughout the country. METHODS: A total of 202 studies of age at menopause, covering the period 2009-2020, were accessed from PubMed database and Google. Of these only ten studies met the selection criteria for this paper, which is that the data for these studies must be collected from house-to-house surveys. RESULTS: The average age at menopause in India, with minimal publication bias, is 46.6 years (95% CI: 44.83, 48.44). In one study slightly above 1.96 Standard Deviation, was observed, as ascertained by Funnel Plot and Egger's test. The mean age ranged from a minimum of 44.69 years (95% CI: 35.01, 54.37) to a maximum of 48.95 (95% CI: 42.29, 55.61) years. Furthermore, the age at menopause did not exhibit any significant variation by age at menarche, although the association was positive. CONCLUSIONS: The age at menopause showed positive association with age at menarche. In India, during the period 2009-2020, it was 46.6 years, which significantly lower than the age in some developed countries. The differences may be methodological since no information was found regarding the distribution of age at menopause in the studies that were considered for meta-analysis.

Prevalence of pulmonary tuberculosis in Wardha district of Maharashtra, Central India.

A house based survey was conducted during 2007-2009 in a representative sample of population in Wardha district implementing Directly Observed Treatment Short Course strategy for tuberculosis (TB) control since 2001. The objective was to estimate prevalence of bacillary pulmonary TB (PTB) in individuals aged 15 years or above, and to estimate trends in prevalence when compared to a previous survey carried out in mid 1980's. Two sputum samples (one spot, one early morning) collected from individuals having symptoms suggestive of PTB, history of previous anti-TB treatment (ATT) or abnormal pulmonary shadow on Mass Miniature Radiography (MMR) consistent with possibly or probably active tuberculosis were subjected to Ziehl-Neelsen microscopy and culture on Lowenstein-Jensen medium. Of 55,096 individuals registered into the survey, 50,332 (91.4%) were screened by interview for symptoms and history of ATT and/or by MMR. Of them, 4805 were eligible for sputum collection; both specimens were collected in 4285 (89.2%) and only one specimen in 27 (0.6%). A total of 86 bacillary cases were detected during the survey. Prevalence of bacillary PTB was estimated at 188.7 (140.3-236.9) per 100,000 populations. There was a decline of 61% in the prevalence of PTB over a period of 22 years.