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7%). Irregular water supply was significantly more in rural area (P less then 0.05). KAP survey revealed that majority (90.1% and 71.5%, respectively) had heard about dengue, with significantly higher knowledge in urban slum, and television was the main source of information. Majority (89% and 83%, respectively) were unaware that peak biting time of Aedes is daytime. Use of mosquito repellent coils was the predominant preventive practice (46.6% and 61.2%, respectively). Pupae were reared; all were found to be Aedes aegypti. Conclusions Despite enhanced awareness campaigns, an integrated vector management approach is required for prevention of dengue.Background India recently launched Ayushman Bharat - National Health Protection Mission - an upgraded version of Rashtriya Swasthya Bima Yojna (RSBY), which is projected as world's largest public insurance scheme by numbers. The new scheme can certainly draw learning from the former (RSBY) to ensure better reach and success. RSBY has been extensively analyzed for supply-side barriers but sparsely for demand and supply-side barriers simultaneously. Objectives Through this study, authors intend to determine causality as well as configurations (pathways) of demand and supply barriers that make beneficiary vulnerable even under the scheme. The study explores the interaction of barriers that lead to patient dis/satisfaction, overcharging for a medical procedure and high disease severity among beneficiaries. Methods The study uses RSBY insurance claim records from 2013 to 2015 backed up by posthospitalization survey of the state of Chhattisgarh, India. It employs a fuzzy set qualitative comparative analysis to determine causality and configuration (path-way) of parameters leading to the outcome. Results Provision of medicine emerges as a necessary condition for patient satisfaction. Waiting time did not appear as a necessary parameter of satisfaction. Overcharging the cashless card in case of minor surgical procedures is observed irrespective of beneficiaries' education and occupation status. Urban male and rural female appear to bear high disease severity. Conclusions Results have implication for policymakers and implementors to recognize the segment that remains vulnerable under the scheme and gain insights on the parameters of patient satisfaction.Background The internet and smartphones have a strong potential for addiction. Excessive use of these technologies can have adverse effects on psychological well-being of the users. Objectives The objective of the study is to find out the effects of internet addiction (IA) and smartphone addiction (SA) on psychological outcomes of dental students in an Indian institute. Methods In this cross-sectional study, 320 dental students were assessed for their internet and smartphone habits using the Young's IA test (YIAT) and the SA scale (SAS), respectively. Psychological outcomes were evaluated using the insomnia severity index, the Depression, Anxiety and Stress Scale, and the Rosenberg Self-Esteem Scale. Results The median YIAT score was 35 and interquartile range (IQR) of 24-49 with 23% subjects reporting potential IA. The median SAS score was 108 (IQR 91.25-128). Both IA and SA were significantly associated with participants' year of the study. Significant correlations were observed between IA and SA with psychological parameters. Conclusions The association of IA and SA with psychological parameters shows how these habits can affect the users' mental well-being. Public especially young adults should be made aware about potential harmful effects of the internet and smartphones.Background High-quality data are of prime importance in any health survey because survey data are considered as a gold standard for nationally representative data. The quality of data collection largely depends on the design of the questionnaire, training, and skills of the interviewer. Objectives In the present study, we tried to evaluate three key components, such as questionnaire design, human resource and training of the field staff for Integrated Biological and Behavioural Surveillance carried out among the HIV high-risk subpopulation. Methods A mixed-methods approach was used. Qualitative and quantitative data collection was carried out in the year 2015 with cross-sectional survey design in western states of India. The in-depth interviews of 10 stakeholders, structured interviews of the survey respondents (n = 560), and field investigators (n = 71) were conducted. Data triangulation was used to find out the concurrence of the qualitative and quantitative data. Results Comprehensive and standardized survey questionnaire, structured training agenda, and strategic preparation for recruiting human resources were the overall strengths of the survey. However, during the implementation of the survey, there were some difficulties reported in data collection process. Overall, the respondents and investigators felt that the questionnaire was long and exhaustive. Difficulties were faced while collecting data on sexual history. Paclitaxel Antineoplastic and I inhibitor The field staffs were not adequately experienced to work with sensitive population. Conclusions In order to have accurate, reliable data, especially on sexual behavior; emphasis should be given on simple questionnaire with the use of community-friendly language, skilled and experienced interviewers for data collection, and extensive field training.Background Despite being a sensitive and less explored issue, abortion is a major preventable cause of maternal morbidity and mortality affecting millions of women in developing countries. Objectives The study aimed to determine the occurrence, nature, and predictors of abortion among women in the reproductive age group in Naxalbari block of Darjeeling district. Methods A community-based cross-sectional study was conducted in Naxalbari block of Darjeeling district, West Bengal, India, from May 2015 to April 2016, among 420 women aged 15-49 years selected from 30 villages by cluster sampling technique. A predesigned, pretested interview schedule validated in the local vernacular was used. Binary logistic regression was used for finding out predictors of abortion among ever-pregnant women. Results Lifetime occurrence of abortion was 33.6%. Among total 178 events of abortion, 51.7% were spontaneous and 48.3% induced. Majority of spontaneous abortions events were attended by a doctor (73.9%). About 59.3% of induced abortions were illegal, and unwanted pregnancy was major reason (62.

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