Assignment -
Analyze the data using SPSS software to answer the following questions:
Our objective is to determine among stroke patients admitted to the hospital, what are the variables (predictors) that are associated with the following dependent variables:
1- In-hospital mortality
2. Length of hospital stay
Methods: analysis of a secondary data from the Office of Statewide Health Planning and Development (OSHPD) [hospital discharge data] for the State of California.
Q1. Describe the population characteristics.
"Do frequency distribution" of the following variables and interpret the findings: (TWO POINTS)
- Gender, Age Category [agecat], Physically Active [active], History of Diabetes [diabetes], Smoking Status [smoker], Cat Scan Result [catscan], and Died in Hospital [dhosp]
- Develop one table in Microsoft word that includes name of the variable, number and percent (see example below).
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Variables name
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Number
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Percent
|
|
Gender
Male
Female
|
|
|
|
.....
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|
Q2. Determine which of the following variable is associated with the in-hospital mortality [dhosp] after adjusting for the other variables (i.e., significant predictors): Gender, Age Category [agecat], Physically Active [active], History of Diabetes [diabetes], Smoking Status [smoker], Cat Scan Result [catscan]. (TWO POINTS)
a. Select the appropriate type of regression analysis and determine if there are statistically significant associations or not. Specify which variable and interpret the results.
- Develop one table in Microsoft word that includes name of the variable, adjusted regression coefficient and 95% confidence interval, and p-value (see example below).
Table 2. .....
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Variables name
|
Adjusted Regression coefficient (95% Confidence Interval)
|
P-value
|
|
Gender
Male
Female
|
|
|
|
.....
|
|
|
Q3. Do frequency distribution and descriptive statistics with histogram for the following two variables and interpret the findings: [los_rehab = length of stay for rehabilitation] [LOG_los = log length of stay for rehabilitation]. Interpret the results and the histogram (ONE POINT)
Q4. Which of the following variables is a predictor of the log length of stay for rehabilitation [LOG_los]: Age Category [agecat], gender, Physically Active [active], History of Diabetes [diabetes], Smoking Status [smoker], Cat Scan Result [catscan] (TWO POINTS)
a. Select the appropriate type of regression analysis and determine the statistically significant predictor(s). Specify which variable and interpret the results.
- Develop one table in Microsoft word that includes name of the variable, adjusted regression coefficient and 95% confidence interval and p-value (see example below).
Table 3. ......
|
Variables name
|
Adjusted Regression Coefficient (95% Confidence Interval)
|
P-value
|
|
Gender
Male
Female
|
|
|
|
.....
|
|
|
Q5. Write a half to one page report of the study and its implications on nursing practice. (THREE POINTS)
The summary should include the following:
- Objectives:
- Methods:
- Results:
- Conclusions and implications on nursing practice
Attachment:- Assignment Files.rar