D547 Evidence-Based Healthcare Administration –APN1-TASK 1: DATA ANALYSIS Western
Governors University
Evidence-Based Healthcare Administration – D547
APN1-TASK 1: DATA ANALYSIS
Name
ID
A1 (The data I chose to use)
Selected Data:
1. Subgroup: Age
2. Primary diagnosis: Symptoms, signs, and abnormal clinical and laboratory findings
and Mental, behavior, and neurodevelopmental disorders (but you still have to include
the rest of the diagnosis but remember to remove any that are missing data)
3. Most commo reason for visit: Other symptoms/problems related to psychological and
mental disorders and Shortness of breath
A2. (Recap of what you will have in your Spreadsheet; these are the 3 notable variables I
selected)
• 545,881,908 more ED visits for primary diagnosis of Symptoms, signs, and abnormal
clinical and laboratory finds in age group 18-44 then there were for Mental, behavior, and
neurodevelopmental disorders for the same age group
• 40,413,144 less females are seen for Other symptoms/problems related to psychological
and mental disorders then Stomach and abdominal pain, cramps, and spasms
,• 254,903,381 more Females visited the Emergency Dept in general then
malesA3. See excel spreadsheet
, Instructions on what is needed in the spreadsheet and how to create your pivot table and chart –
Hope this helps
• Download the Estimates_of_Emergency_Dept and save it to your laptop/desktop
o KeyPoints
▪ Leave the main ED estimates as your main tap (reason why I had to resubmit a
2nd time)
▪ Add filters by highlighting your sections (A-L), from the toolbar click “Sort &
Filter. This gives you the dropdown options next to each data row
▪ For each pivot table I renamed the Measure to either Primary diagnosis or Most
common Reason for visit
• Changed it back once I created the pivot table in a new tab
o KeyPoints for Pivot table chart
▪ When filtering make sure to have 2016-2021 checked
▪ Filter “Measure Type” by primary diagnosis
▪ For Measure (or if you changed the name to Primary Diagnosis) select all
with the exception of “All Diagnosis” (this is generalized and not needed)
▪ Group: filter by either Sex, Age, Race/ethnicity, Region, or type of
payment/insurance used (only leave what you need checked)
▪ Filter your subgroups (or if you renamed this by whatever you chose to focus
on): either by gender, age group, insurance, or region
▪ Estimate Type: filter by Visit Count (filter and unselect rate)
▪ Estimate: (I changed it to Visit Count)
• Make sure to unselect any blanks in this column
▪ Other three columns are not needed buy you can leave it on the main ED tab
o Undo your filters and change names for your next pivot table
o Once Pivot tables are complete, I changed the names back on the main Estimates of
ED
o Pivot time
▪ Click on Insert
▪ Highlight your columns A-H
Governors University
Evidence-Based Healthcare Administration – D547
APN1-TASK 1: DATA ANALYSIS
Name
ID
A1 (The data I chose to use)
Selected Data:
1. Subgroup: Age
2. Primary diagnosis: Symptoms, signs, and abnormal clinical and laboratory findings
and Mental, behavior, and neurodevelopmental disorders (but you still have to include
the rest of the diagnosis but remember to remove any that are missing data)
3. Most commo reason for visit: Other symptoms/problems related to psychological and
mental disorders and Shortness of breath
A2. (Recap of what you will have in your Spreadsheet; these are the 3 notable variables I
selected)
• 545,881,908 more ED visits for primary diagnosis of Symptoms, signs, and abnormal
clinical and laboratory finds in age group 18-44 then there were for Mental, behavior, and
neurodevelopmental disorders for the same age group
• 40,413,144 less females are seen for Other symptoms/problems related to psychological
and mental disorders then Stomach and abdominal pain, cramps, and spasms
,• 254,903,381 more Females visited the Emergency Dept in general then
malesA3. See excel spreadsheet
, Instructions on what is needed in the spreadsheet and how to create your pivot table and chart –
Hope this helps
• Download the Estimates_of_Emergency_Dept and save it to your laptop/desktop
o KeyPoints
▪ Leave the main ED estimates as your main tap (reason why I had to resubmit a
2nd time)
▪ Add filters by highlighting your sections (A-L), from the toolbar click “Sort &
Filter. This gives you the dropdown options next to each data row
▪ For each pivot table I renamed the Measure to either Primary diagnosis or Most
common Reason for visit
• Changed it back once I created the pivot table in a new tab
o KeyPoints for Pivot table chart
▪ When filtering make sure to have 2016-2021 checked
▪ Filter “Measure Type” by primary diagnosis
▪ For Measure (or if you changed the name to Primary Diagnosis) select all
with the exception of “All Diagnosis” (this is generalized and not needed)
▪ Group: filter by either Sex, Age, Race/ethnicity, Region, or type of
payment/insurance used (only leave what you need checked)
▪ Filter your subgroups (or if you renamed this by whatever you chose to focus
on): either by gender, age group, insurance, or region
▪ Estimate Type: filter by Visit Count (filter and unselect rate)
▪ Estimate: (I changed it to Visit Count)
• Make sure to unselect any blanks in this column
▪ Other three columns are not needed buy you can leave it on the main ED tab
o Undo your filters and change names for your next pivot table
o Once Pivot tables are complete, I changed the names back on the main Estimates of
ED
o Pivot time
▪ Click on Insert
▪ Highlight your columns A-H
