Competency
Apply statistics to different quality methods in healthcare.
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?
NOTE – APA formatting, and proper grammar, punctuation, and form required.
An agenda can set the tone for a meeting. It is an important tool to ensure meetings are staying on track and meeting all of the objectives. Create a detailed meeting agenda for a meeting you will hold with your supervisor and fellow department heads discussing your findings (Hint: Microsoft Word has many agenda templates).
Make sure to include the following in the agenda:
- Explain each statistical example
- How that data would be used
- The majority of the agenda should be focused on data analysis and its use in QI plans
Expert Solution Preview
Introduction:
In this scenario, as a professor in charge of creating college assignments and answers for medical college students, I have been tasked with designing and implementing a Quality Improvement Plan for Chaparral Regional Hospital. One of the tasks assigned to me is to develop an agenda for employee training on Quality Improvement and provide a memo with bullet points to present the statistical analysis of the initial data.
Answer:
1. Percent who responded with a 5 (Great) on “Overall impression of the visit”: 75% of the respondents responded with a 5 (Great) on “Overall impression of the visit.”
2. Percent who responded with a 2 (Fair) or 1 (Poor) on “Overall impression of the visit”: 12.5% of the respondents responded with a 1 (Poor) on “Overall impression of the visit” and 7.5% of the respondents responded with a 2 (Fair).
3. Percent who responded with a 5 (Great) on “Willingness to return”: 77.5% of the respondents responded with a 5 (Great) on “Willingness to return.”
4. Percent who responded with less than 5 on “Willingness to return”: 5% of the respondents responded with less than 5 on “Willingness to return.”
5. In the area of “Facility and Convenience,” the indicator with the highest percentage of 5 (Great) responses is “Comfort while waiting” with 50% of the respondents responding with a 5. The indicator with the lowest percentage of 5 (Great) responses is “Convenience of location” with 25% of the respondents responding with a 5.
6. In the area of “Staff,” the indicator with the highest percentage of 5 (Great) responses is “Friendly and helpful” with 52.5% of the respondents responding with a 5. The indicator with the lowest percentage of 5 (Great) responses is “Knowledgeable and professional” with 52.5% of the respondents responding with a 5.
7. The mean waiting time in the reception area is 20 minutes.
8. The mean waiting time to see a healthcare professional is 23 minutes.
To summarize the statistical analysis of the initial data, it can be concluded that the majority of the patients are satisfied with their visit to Chaparral Regional Hospital. The hospital’s staff is friendly and helpful, and patients appreciate their modesty and confidentiality. However, the hospital needs to improve its convenience of location and waiting time in the reception area to increase patient satisfaction. The data can be used to develop Quality Improvement Plans to address these concerns.
Expert Solution Preview
Statistical Analysis Memo:
To: CEO
From: Quality Improvement Team
Subject: Statistical Analysis of Initial Patient Satisfaction Survey
As requested, we have analyzed the data gathered from the initial patient satisfaction survey. Here are the key findings:
1. 75% of the respondents responded with a 5 (Great) on “Overall impression of the visit.”
2. 12.5% of the respondents responded with a 1 (Poor) on “Overall impression of the visit” and 7.5% of the respondents responded with a 2 (Fair).
3. 77.5% of the respondents responded with a 5 (Great) on “Willingness to return.”
4. 5% of the respondents responded with less than 5 on “Willingness to return.”
5. In the area of “Facility and Convenience,” the indicator with the highest percentage of 5 (Great) responses is “Comfort while waiting” with 50% of the respondents responding with a 5. The indicator with the lowest percentage of 5 (Great) responses is “Convenience of location” with 25% of the respondents responding with a 5.
6. In the area of “Staff,” the indicator with the highest percentage of 5 (Great) responses is “Friendly and helpful” with 52.5% of the respondents responding with a 5. The indicator with the lowest percentage of 5 (Great) responses is “Knowledgeable and professional” with 52.5% of the respondents responding with a 5.
7. The mean waiting time in the reception area is 20 minutes.
8. The mean waiting time to see a healthcare professional is 23 minutes.
Based on these findings, it can be concluded that while the majority of the patients are satisfied with their visit to Chaparral Regional Hospital, there is room for improvement. The hospital needs to improve its convenience of location and waiting time in the reception area to increase patient satisfaction. Additionally, the hospital should focus on improving staff knowledge and professionalism to better meet patient needs.
These findings will be used to develop Quality Improvement Plans to address the identified concerns and improve overall patient satisfaction.
Thank you for the opportunity to present this analysis. We look forward to working with you and the Chaparral Regional Hospital team to achieve our quality improvement goals.
Sincerely,
[Quality Improvement Team]
Meeting Agenda:
Meeting Objective: To discuss the statistical analysis of the initial patient satisfaction survey and develop a Quality Improvement Plan to address the identified concerns.
Agenda:
1. Introductions
2. Overview of Meeting Objective
3. Presentation of Statistical Analysis
a. Explanation of each statistical example
b. Discussion on how that data would be used
4. Discussion on data analysis and its use in QI plans
5. Development of QI Plan
6. Assigning Responsibility and Timeline
7. Next Steps
8. Closing Remarks
Note: The majority of the agenda should be focused on data analysis and its use in QI plans.
