Apply Statistics To Different Quality Methods In Healthcare. Apply Statisti
Apply Statistics To Different Quality Methods In Healthcare.
Apply Statistics To Different Quality Methods In Healthcare.
ORDER NOW FOR AN ORIGINAL PAPER: Apply Statistics To Different Quality Methods In Healthcare.
Competency
Course Scenario
Chaparral Regional Hospital is a small, urban hospital of approximately 60 beds, and offers the following:
- Emergency room services
- Intensive care
- Surgical care
- Obstetrics
- Diagnostic services
- Some rehabilitation therapies
- Inpatient pharmacy services
- Geriatric services and
- Consumer physician referral services
Recently, the CEO has been hearing complaints from both patients and staff. You have been hired to design and implement a Quality Improvement Plan to help uncover quality problems and satisfactorily resolve them.
Scenario Continued
Your CEO has requested that you provide employee training on Quality Improvement. You have done an initial survey of patient satisfaction, and the CEO has asked you to explain how the data will be analyzed, using this initial data.
Given the variety of complaints coming from both employees and patients, it is critical for everyone to understand the importance of conducting the survey and obtaining solid data.
Question
Great
5
Good
4
OK
3
Fair
2
Poor
1
No Response
Total
Facility and Convenience
Hours of Operations
10
17
3
0
10
0
40
Convenience of location
10
15
5
3
3
4
40
Cleanliness
11
14
8
4
3
0
40
Waiting time in reception area
9
16
0
4
11
0
40
Comfort while waiting
20
10
5
5
0
0
40
Staff
Explained procedure
17
9
8
0
6
0
40
Questions answered
11
15
7
2
3
2
40
Friendly and helpful
21
5
5
7
2
0
40
Knowledgeable and professional
6
21
4
3
3
0
40
Modesty respected
12
14
8
0
6
0
40
Confidentiality respected (HIPAA)
10
10
14
5
1
0
40
Overall Satisfaction
Overall impression of visit
30
0
5
3
2
0
40
Willingness to return
31
0
9
0
0
0
40
Likelihood of referring to others
32
0
4
3
1
0
40
Respondents were also asked about their wait times. Here is the data on wait times:
Number responding
Wait time before being checked in at Reception
4
10 minutes
16
15 minutes
8
20 minutes
12
25 minutes
Number responding
Wait time before being seen by a healthcare professional
2
10 minutes
6
15 minutes
10
20 minutes
22
25 minutes
Instructions
You are to create an agenda for the training and a memo with bullet points to present the statistical analysis of the initial data. The memo should include an explanation of each of the statistical results. In particular, you should be able to explain what the results mean to the facility.
Determine the percentages of the following:
- Percent who responded with a 5 (Great) on “Overall impression of the visit”
- Percent who responded with a 2 (Fair) or 1 (Poor) on “Overall impression of the visit”
- Percent who responded with a 5 (Great) on “Willingness to return”
- Percent who responded with less than 5 on “Willingness to return”
- In the area of “Facility and Convenience,” which indicator had the highest percentage of 5 (Great) responses? Which had the lowest?
- In the area of “Staff,” which indicator had the highest percentage of 5 (Great) responses? Which had the lowest?
What is the mean waiting time in the reception area?
What is the mean waiting time to see a healthcare professional?
Microsoft Word has many memo templates. In your memo, be sure to address each statistical analysis and what it means to the facility. Why ask these questions? How could the data be used for quality improvement?
