Master of Public Health Maternity and Health Care Centre

Question: Discuss about theMaster of Public Health for Maternity and Health Care Centre Answer Introduction: The report aims to study the condition of the quality of service provided by the maternity and health care centre located at Nano district in Uttar Pradesh, India. The report contains data about the condition of the patients. A sample of 50 patients was taken for the study. They were asked questions about responsibility of service, satisfaction with the staff, reasonable fees of the hospitals, quality of service provided by the hospitals, behavior of the staff and others. The data in the assignment has been analyzed with the help of various statistical graphs and tests. The analysis of the data will help to explain the condition of healthcare centers and the opinion of the patients regarding the treatment procedures in those places. Results: The dataset contains questions about the responsibility of the staff, satisfaction with the staff, reasonable price, affordable price, waiting time, comfort in asking question and others. The bar diagram for responsibility of staff mainly contains three levels Agree, Strongly agree, disagree. The bar diagram clearly states that most of the people agrees that the staffs are responsible (Refer appendix graph 1).The bar diagram for the variable responsibility of the staff also quotes the same figure (Refer appendix graph 2).The graph of the variable reasonable price and whether the prices are affordable or not also quotes the same figures (Refer appendix graph 4 5). The time of waiting and the opinion about the waiting time are also explained with the help of a bar diagram (Refer appendix graph 7 8). The waiting time has all total 9 categories. The frequency is highest in the case of the class 31 60 minute and 5-30 minutes. The frequency distribution about the opinion of waiting tim e however shows that the patients are not satisfied with the waiting time. The research also asks different questions about the opinion of the patients regarding personal consulting, comfort in asking questions, confidentiality and others. The bar diagram for the three variable shows that most of the patients agree about the decisions. The t-test has been conducted in order to test whether the mean value between the two variables vary. The variables like respect from staff and reasonable price has some sort of correlation among themselves. The hypothesis of the t test is H0: 1= 2 against H1: 1 2 (Xie et al., 2013). The p-value of the test for the above two variables is 0.048. The null hypothesis gets rejected as the probability value is less than significance level. Therefore, it could be concluded that the mean value of the two variables are not equal (Kruschke, 2013). This implies that the patients has not given the same response for the variables respect from staff and satisfaction with staff (Refer appendix table 1) The next t-test has been conducted between the variables reasonable price and affordable price. The t-test has been conducted in the same way as for the first two variables. The probability value of the test which is 0.9 indicates that the null hypothesis of the test is accepted (Refer appendix table 2). The t-test has also been conducted between the variables comfortable in asking questions and private consultation. The t test results suggests that the null hypothesis would be accepted. This indicates that the mean of the responses is same for both the variables (Refer appendix table 3). The t-test has also been done to see if the mean of the responses differ for the two variables confidential and doctor showing kindness. The t-test has been conducted in the same way as the others. The t test results suggest that the hypothesis for the test would be accepted at a significance level 0.05(Refer appendix graph 4). The t-test has also been conducted between the two variables satisfiedwexplain and satisfiedwvisit. The test has been accepted on the basis of the probability value. This explains that the mean values are same for the two variables(Refer appendix graph 5). Conclusion: The conclusions that can be drawn from the above analysis are as follows: The people have given average level of satisfaction regarding responsibility of staff, responsibility of doctors and others. Most of the patients however have shown dissatisfaction regarding the waiting time. The t-test results suggest that the patients have given different responses for respect from staff and satisfaction from staff. The patient response has stated that price figures are reasonable and is affordable to pay. Therefore it could be concluded from the analysis of the results that the patients are satisfied on an average regarding the fees, behavior of the staff, respect from staff, respect from doctors and other variables. The patients however has discontent regarding waiting time. The recommendation that follows from the study are: The concerned authorities should pay attention regarding the waiting time of the patients. The long waiting time cause dissatisfaction among the patients, therefore, affects the business. The study has been conducted taking only a very small sample of size 50 only. Such a sample is not desirable for a large population. The study could had been better if the sample size could had been a bit more. Some effective measure of data collection like stratified sampling and cluster sampling should be used. References: Xie, L., Kang, H., Xu, Q., Chen, M. J., Liao, Y., Thiyagarajan, M., ... Takano, T. (2013). Sleep drives metabolite clearance from the adult brain.science,342(6156), 373-377. Kruschke, J. K. (2013). Bayesian estimation supersedes the t test.Journal of Experimental Psychology: General,142(2), 573.