| Patient Satisfaction Survey |
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| Graphs 7-10 plot relationships between age, beneficiary group, and purpose of visit, which replaces overall health status in this exhibit. |
| This page is designed to illustrate a few basic research techniques that can be used to analyze a patient satisfaction survey data set. This is NOT a complete analysis; rather, the intention is to provide examples of tools and techniques that assist in the analysis. Various research questions are explored: - What is the overall satisfaction level based on age of respondents? - Is satisfaction with care received dependent upon age of patient? - How does perceived level of health status affect satisfaction? - Does gender play a role in overall satisfaction level? These are just a few of the insights that can be derived from this type of analysis. SPSS version 10.0 was used to illustrate: basic descriptive statistics; response distributions; case processing; cross tabulation; univariate analysis of variance; and means plotting across three dimentions. Data was obtained from a satisfaction survey administered at selected military outpatient treatment facilities. Data was collected over 18 months. The sample consisted of 22,538 respondents, which resulted in 585,988 total responses. Tables and graphs are provided for your review. Click a link to your left, or use the embedded links within the text that follows (below). A brief interpretation of results is provided for each table and graph. Thanks for visiting this site. If you have any questions or comments, e-mail me via the link to your left. |
| Table 1 shows descriptive statistics for age group, overall satisfaction with care received, and perception of health status. Table 2 shows the correlations and statistical significance among these same variables |
| Tables 3-4 provide selected operational definitions, distribution of responses, and aspects related to univariate analysis of variance. Gender is introduced as a variable for further consideration of effect on satisfaction. |
| Tables 5-6 provide a case processing summary and demonstrate one application of the use of cross tabulations. This application provides a deeper appreciation of the operationally defined categories for the variables under study. |
| Tables 7-8 continue to evaluate age group and perceptions of health status using univariate analysis. However, gender is replaced with beneficiary group to examine another dimension of the relationships affecting satisfaction. |
| Tables 9 - 10 provide another look at the data using univariate analysis. These exhibits replace overall health status with purpose of health care visit. |
| Graphs 1-2 plot the idependent variables of age and perception of health status against the dependent variable perception of quality of health care received. |
| Graphs 3-6 plot relationships between age, perception of health status, and beneficiary group as indicators of perception of quality of health care recieve (overall satisfaction with care received). |
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| EXHIBITS |
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