Background: Quality patient care is controlled by various factors - degree of fulfilment of patients' needs being one of them. Lesser waiting times, empathetic doctors and availability of medications yield more satisfied patients. Methods: A descriptive cross-sectional study was carried out among 80 patients attending the OPD of a tertiary care hospital from 9 am to 1 pm, Monday to Saturday from 8th February 2021 to 8th April 2021. Consenting patients were shadowed and observed until they completed their visit. Actual waiting time, consultation time and overall visit duration were calculated. An exit interview was conducted to assess satisfaction with waiting time, infrastructure and doctor-patient interaction. Results: The mean waiting time in one visit was 59.025±39.497 minutes. The mean consultation time with the doctor was 6.925±7.688 minutes. Statistical analysis showed that patients with lesser waiting time were significantly more satisfied with hospital services (p=0.004). Males were significantly more satisfied than females (p=0.02). Domains of dissatisfaction were waiting time at the registration desk, outside the OPD, seating arrangement, cleanliness and availability of medications. Doctor-patient interaction and consultation time were rated highly. Conclusions: The results showed that significant changes are required in the queueing system and hospital infrastructure. The positive response received in case of doctor-patient interaction is a step in the right direction. Regular surveys can help us rectify oversights in the present healthcare system.
BACKGROUND Child Immunisation is an important activity and is carried out at all levels of health care services. At Primary Health Centres and subcentres, vaccine requirement is calculated by fixed formula. It is difficult to estimate vaccine requirement where denominator is not known as in the case of the Government Medical College. The objective of this study is to forecast Measles vaccine requirement by using time series analysis, at Government Medical College, Latur. MATERIALS AND METHODS The present study was record based; undertaken at Government Medical College, Latur. The data regarding Measles vaccine used during the years 2009-10 to 2014-15 was taken from immunisation book. This month wise data was fed in MS-excel and analysed using software SPSS version 21.0. Method used for time series analysis was Expert Modeller for best model fit. Time series analysis and forecasting was done using best-fit model i.e. Simple seasonal model for measles vaccine. RESULTS A total of 8015 doses of measles vaccine were given during the years 2009-10 to 2014-15 at Government Medical College, Latur. Ljung-Box Q statistics was not significant. Forecasting for Measles vaccine was done up to 2018-19. The vaccine requirement calculated for August 2018 is 134 with 225 and 42 as upper and lower confidence level. It was 136 for February 2019 with 231 and 40 as upper and lower confidence level respectively. CONCLUSION Simple seasonal model of Time series analysis can be used to forecast Measles vaccine requirement at Medical Colleges.
BACKGROUND: Adolescence is a critical period of biological, psychological and social changes, as achievement of optimum growth in girls is considered utmost, improving future health. Early and convenient method of assessing nutritional status and socioeconomic status of growing children is anthropometry. Body mass index (BMI) is a widely used parameter. AIMS & OBJECTIVES: 1) To study some socio-demographic characteristics of non-slum and slum adolescent girls of Urban Health Center, Dr. V. M. Medical College, Solapur. 2) To compare the Body Mass Indices of the same respondents. SETTING & DESIGN: This study was done at Urban Health Center; Solapur. It was a community based cross-sectional study done involving 246 adolescent girls (116 non-slums and 130 slums). METHODOLOGY: By doing house to house survey, the girls were interviewed with the help of predesigned, pretested questionnaire. Their socio demographic information was collected. Body mass index was calculated by using height and weight and compared with CDC 2000 standards (U.S.). Statistical tests-chi square test, Z-test, t test. RESULTS: There was significant difference between the socioeconomic status, literacy of non-slum and slum girls. Majority of the girls i.e. 78.45% were giving BMI in normal range i.e. 5 th to 85 th percentiles of CDC 2000 standards (U.S.). The number of girls with (BMI<5 th percentile) was significantly more in slum girls as compared to non-slum adolescent girls. CONCLUSION: Overweight was not the problem in study population. About 8.6% non-slum and 21.54% girls were having BMI below 3 rd percentile of the CDC 2000 standards (U.S.). Growth monitoring; Nutritional supplementation should be given to adolescent girls to prevent nutritional deficiencies, especially in slum area.
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