This study aimed to evaluate the educational environment of the health sciences programs of KLE University, Belgaum, Karnataka, India, to identify their strengths and weaknesses, and to suggest strategies to improve the educational environment to be on par with global standards. A cross-sectional study was conducted using the Dundee Ready Educational Environment Measure (DREEM) questionnaire, filled out by 914 of the 1,004 students (91.0%) who were majoring in medicine, dentistry, nursing, physiotherapy, and public health. The data were analysed according to the DREEM guidelines. Responses were received from 914 students, of whom 34.03% were men and 65.9% were women. The majority (67.1%) of students were 20-24 years of age. The mean overall DREEM score was 120.21±22.4 (maximum, 200) and approached the normal distribution (Lilliefors test, P<0.01). The DREEM scores of each group of students were as follows: dental, 125.0; medical, 122.4; public health, 121.0; physiotherapy, 117.0; and nursing, 116.3. Male students had more positive perceptions than female students (P<0.05), and postgraduate students had more positive perceptions than undergraduate students (P<0.05). The overall DREEM score (120.21) indicates that the educational environment was found to be more positive than negative.
Background: Over the past decade, national plans and programmes in India have stressed the need for universal access to health care especially the maternal & child health services in rural area. Many studies have revealed low utilization of the health care services by different segments of the society for varying reasons. With each Medical college adopting three Primary Health Centres, it is expected that there will be an increase in the utilization of the health service. This study was formulated against this background, with an objective of studying the factors influencing the utilization of health services in the spectrum of antenatal periods of a mother.
Aims & Objective:(1) To study the factors influencing the utilization of antenatal health care services in a rural area. (2) To study the content and quality of antenatal care. Materials and Methods: A cross sectional study conducted at Handignur, Primary health centre, Belgaum. Mothers who delivered during one year period were interviewed using a predesigned questionnaire. Analysis was done by calculating Proportions and using Chi-square test. Results: All the mothers had registered antenatal. Out of 497 mothers, 311(62.6%) mothers utilized full antenatal care. Weight, height, blood pressure, haemoglobin measurement and abdominal examination were performed in more than 95% of mothers. The sociodemographic factors like literacy status, occupation, socioeconomic status and parity were found to influence the pattern of utilization. Conclusion: The results revealed that utilization of antenatal services was good as majority of them received full antenatal care. The prime reason for non-compliance of IFA tablets was side effects. The private health facility was utilized more compared to government services.Sample Size: Of the total 516 married women who delivered in one year period, 497 women gave consent and were included in the study.
RESEARCH ARTICLE
Training programme for TBAs with regular reinforcements in the resource poor setting will not only improve the quality of newborn care but also reduces perinatal deaths.
Training programme for TBAs with regular follow-ups in the resource-poor setting will not only improve the quality of maternal care but also reduce perinatal deaths.
Background: The purpose of the study was to analyze the dependence of oral health diseases i.e. periodontal disease by Community Periodontal Index of Treatment Needs (CPITN) by considering the number of risk factors through the applications of logistic regression model.Methods: This cross sectional study involves a systematic random sample of 600 permanent dentition aged between 18-40 years in Karnataka, India. The mean age was 34.26±7.28. The risk factors of periodontal disease were established by multiple logistic regression models using SPSS 21.0 statistical software.Results: The factors like frequency of brushing, timings of cleaning teeth and type of toothpastes are significant persistent predictors of periodontal disease. The log likelihood value of full model is –1085.7876 and AIC is 1.2577 followed by reduced regression model are -1019.8106 and 1.1748 respectively for periodontal disease. The area under receiver operating characteristic (ROC) curve for the periodontal disease is 0.6128 (full model) and 0.5821 (reduced model).Conclusions: The logistic regression model is useful in predicting risk factors like-frequency of brushing, timings of cleaning teeth and type of toothpastes for periodontal disease. The fitting performance of reduced logistic regression model is slightly a better fit as compared to full logistic regression model in identifying the these risk factors for both dichotomous periodontal disease.
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