| A Study on Patient Satisfaction |
| Through class discussion and readings, I have learned quality means many things to many people. It difficult to define and is often comes down to perception. Therefore, the following research question was generated, “What portion of the overall quality of care is attributed to the amount of time a patient had with a provider and the level of personal interest in the patient's medical problem by age different groups for the primary care clinics?” To analyze the research question, a sample of 22,538 patient satisfaction surveys were collected. The clinics selected to analyze were the major primary care clinics: internal medicine, family practice, pediatrics, obstetrics, and gynecology. Selecting these clinics lowered the sample to 4878 patient satisfaction surveys. This sample was further reduced to 4546 after selecting the listwise (casewise) option to analyze the data. Selecting the listwise option omitted cases that had missing values for any of the variables used in the study. The dependent variable used in the study was (3j) Overall quality of care and service you received. The independent variables were (3g) Amount of time you had with Dr. Johnson, (3e) Personal interest in you and your medical problem, age group, and primary care clinics. The following results were attained using the Statistical Package for Social Science (SPSS). The descriptive statistics provide an overview of the characteristics of the data. The mean indicates the central tendency of the data. For magegrp (age), the average fell within the 25-34 age group. For questions Q3e, Q3g, and Q3j, the answeres averaged 4 on a 5-point scale, with 5 representing excellent. The standard deviation represents the spread of the data around the mean or the dispersion. |
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| Descriptive Statistics |
| A general liner model univariate analysis was conducted to analyze the frequency count for each of the variables in the study. |
| A correlation analysis was conducted to measure the linear association between two variables. All of the variables in the study had positive correlation with strongest correlation/relationship (.850) between (3g) Amount of time you had with Dr. Johnson/staff and (3j) Overall quality of care and service you received. The significance level is also indicated in this chart. The significance level (or p-value) is the probability of obtaining results as extreme as the one observed. In this study, the significance levels for all the variables are very small (less than 0.05), which indicated that the correlations are significant and the perspective variables are linearly related. |
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| Univariate Analysis |
| The regression model summary reveals the linear relationship between the dependent variable and the independent variables. The R-value indicates the correlation between the observed and predicted values of the dependent variable. The high R-value of .879 indicated a strong relationship between the selected variables in the model. The R square value of .772 indicated that 77% of the cumulative variance was accounted for in the model. |
| Correlation Analysis |
| The analysis of variance data reflects the amount of variation on the model. The high F-value of 5,557 and low significance level indicated that the variables in the model do a good job of explaining the variation in the dependent variable. |
| Regression Analysis |
| ANOVA |
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| The importance of this T-test is to test the importance of each variable within the model. As shown by the t-scores, (3e) Personal interest in you and your medical problem was the strongest or had the largest overall effect on the model. |
| t-test |