Kaplan-Meier estimate is one of the best options to be used to measure the fraction of subjects living for a certain amount of time after treatment. In clinical trials or community trials, the effect of an intervention is assessed by measuring the number of subjects survived or saved after that intervention over a period of time. The time starting from a defined point to the occurrence of a given event, for example death is called as survival time and the analysis of group data as survival analysis. This can be affected by subjects under study that are uncooperative and refused to be remained in the study or when some of the subjects may not experience the event or death before the end of the study, although they would have experienced or died if observation continued, or we lose touch with them midway in the study. We label these situations as censored observations. The Kaplan-Meier estimate is the simplest way of computing the survival over time in spite of all these difficulties associated with subjects or situations. The survival curve can be created assuming various situations. It involves computing of probabilities of occurrence of event at a certain point of time and multiplying these successive probabilities by any earlier computed probabilities to get the final estimate. This can be calculated for two groups of subjects and also their statistical difference in the survivals. This can be used in Ayurveda research when they are comparing two drugs and looking for survival of subjects.
Introduction:The role of community health workers in healthcare delivery system is considered inevitable to meet the goal of universal healthcare provision. The study was planned to assess the knowledge and practices for maternal health care delivery among Accredited Social Health Activist (ASHA) workers in North-East district of Delhi, India.Materials and Methods:A descriptive cross-sectional study was conducted in North-East district of Delhi among 55 ASHA workers after taking written informed consent. Data were collected using a pretested semi-structured questionnaire consisted of items on sociodemographic profile of ASHA workers, knowledge, and practices about maternal health. The data was analyzed by using SPSS software version 17. Qualitative data were expressed in percentages and quantitative data were expressed in mean ± standard deviation (SD).Results:Mean age (±SD) of ASHAs was 31.84 ± 7.2 years. Most of the ASHAs workers were aware of their role in provision of maternal health services. Most of the ASHAs workers were aware of their work of bringing mothers for antenatal check-up (94.5%), counseling for family planning (96.4%), and accompanying them for hospital for delivery (89.1%). 87% of ASHAs knew that iron tablets have to be taken for minimum 100 days during pregnancy. 51 (92.7%) ASHAs reported that they used to maintain antenatal register. Some problems reported by ASHAs while working in community were shortage of staff at health center (16.4%), no transportation facility available (14.5%), no money for emergency, and opposition from local dais (12.7% each).Conclusion:Present study showed that ASHAs knowledge is good but their practices are poor due to number of problems faced by them which need to be addressed through skill based training in terms of good communication and problem solving. Monitoring should be made an integral part of ASHA working in the field to ensure that knowledge is converted into practices as well.
Improving maternal health is one of the goals to be achieved under the Millennium Development Goal (MDG), especially MDG-5. One of the predictors of maternal health is place of child birth. This study was carried out to determine the prevalence of home delivery and different socio-demographic factors associated with them. This study was a community-based cross-sectional study. Women who delivered a baby in the past 1 year were included in this study. A total of 300 women responded (93.2%) and gave consent to participate in the study. Prevalence of home delivery was 37.7%. Bivariate analysis showed that religion, caste, education of women and their partners, occupation of the spouse, monthly family income and socioeconomic status had a significant association with the choice of place of delivery. But multivariate regression analysis showed only religion, caste, education of spouse and monthly income to be significant factors in determining place of delivery. The findings of this study suggest that individual countries have to formulate interventions which will target marginalized or vulnerable populations with reference to caste, religion and wealth. A significant improvement in reaching the 5th MDG can be achieved if the first three MDG goals are focused on, i.e., eradication of poverty, achieving universal education and women empowerment.
Background: Worldwide, tobacco use is a serious public health concern affecting the youth. A vast majority of tobacco users start using tobacco well before the age of 18 years which has enormous psychosocial and health effects. Objectives: To estimate the prevalence of individual forms of tobacco usage among youth aged 15 to 24 years and to assess the association of sociodemographic factors with tobacco use. Methods: The source of data was a cross-sectional GATS-2 survey in India (analysed using SPSSv17.0) which used a multistage, geographically stratified cluster sampling method. Bivariate analysis was done for evaluation of the possible association of tobacco use with sociodemographic factors. Multivariable logistic regression analysis was conducted to determine the relative strength of association between those factors and tobacco use. Results: There were 13 329 respondents (44.9% males and 55.1% females) aged 15 to 24 years. Overall, 11.9% of respondents were using tobacco. The prevalence of smoke and smokeless tobacco usage was 5% and 10.9%, respectively, whereas 2% of respondents reported dual usage. The odds of using any form of tobacco were significantly higher among respondents aged 20 to 24 years (odds ratio [OR]: 2 [1.76-2.77]) who were primarily residing in rural areas (adjusted odds ratio [aOR]: 1.36 [1.2-1.54]) and were unmarried (aOR: 1.56 [1.37-1.88]). The odds of using any form of tobacco were significantly lower among females (aOR: 0.21 [0.19-0.24]), literate individuals (aOR: 0.33 [0.29-0.37]), and those who were unemployed/students/homemakers (aOR: 0.44 [0.39-0.50]). Conclusions: The overall tobacco usage of 11.9% among young people in the age group of 15 to 24 years is a matter of concern. The study identified several sociodemographic factors significantly associated with tobacco use, implying the need for designing interventions considering social vulnerabilities of youth.
To find the perceptions and behaviours of the general public in response to the novel coronavirus pandemic in India.Design: An online survey was conducted during lockdown period of coronavirus pandemic.Participants: 304 respondents participated in the survey during the lockdown period of 21 days.Main Outcome Measures: Perceptions and behaviours of adult population to coronavirus infections and its prevention. Result:The mean age of the respondents was 38.38±12.34 years. Most of the respondents believed that coronavirus was a contagious infection could be transmitted via direct body contact and droplets and majority 285 (93.8%) of the respondents were aware that coronavirus is a contagious infection. Nonetheless, perceived chance of infection was found by 284 (93.4%) respondents due to public transport, mass gatherings or crowds and through contaminated food or takeaways in only 94 (30.9%). Perceived efficacy of preventive measures was social distancing (77.3%), hand washing (75.3%) and wearing a mask (48%). It is interesting to note that some people were taking multivitamin, Unani immune modulator, homoeopathic and Hydroxychloroquine medicines as prophylaxis. Conclusion:Coronavirus related perceptions and behaviours are crucial for designing preventive measures. Knowledge about the pandemic was high but misconceptions were also existed in the study group which need further improvement of appropriate IEC activities among Indian population.
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