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Describe the population characteristics

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Reference no: EM131754194

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).

Variables name

Number

Percent

Gender

     Male

     Female

.....

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. .....

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

Reference no: EM131754194

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len1754194

12/7/2017 1:52:26 AM

Please use the SPSS data set “sample_data_FINAL_EXAM_FALL.sav” (Attached) and analyze the data using SPSS software to answer the following questions: (You need to interpret all the results). 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.

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