Week 7 Assignment: Textbook Problems: Create Attribute Control Charts Due 10/6/2018 As a current or future health care administration leader, you will likely engage in creating and presenting attrib

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Week 7 Assignment: Textbook Problems:
Create Attribute Control Charts

Due 10/6/2018

As a current or future health care administration leader, you will likely engage in creating and presenting attribute control charts for your health services organization. As you have examined in this course, the use of attribute control charts will depend on the specific processes in your health services organization that require monitoring and oversight. Apart from interpreting and understanding the results of control charts for ensuring that processes are in control, developing skills in creating attribute variable control charts is necessary for health care administration practice.

For this Assignment, review the resources for this week that are specific to attribute control charts. You should focus on mimicking the development of p and np charts as demonstrated in the readings for this week.

The Assignment: (3– pages)

Using SPSS and Microsoft Word, complete problems 1 through 5 on pages 297–299 in the Ross textbook. Show all work. Submit both your SPSS and Word files for grading.

ROBLEMS

A hospital is analyzing nosocomial infections and wants to reduce their infection rate below the national average of 2.0%. They have sampled 40 cases every week for the last 20 weeks. The data are shown below. Create p and np control charts. Interpret the graphs. How is the hospital performing in relation to its stated goal?

1 2 11 3

2 1 12 4

3 1 13 2

4 2 14 3

5 1 15 4

6 1 16 5

7 3 17 3

8 2 18 4

9 1 19 5

10 2 20 6

Walter Shewhart ([1931] 1980) presented the following data in his classic Economic Control of Quality of Manufactured Product. Create a p chart for each machine. Does either of the two machines show evidence of special cause variation?

MACHINE A

MACHINE B

Month

Defective

Inspected

Defective

Inspected

Jan 4 527

Feb 5 610

Mar 5 428

Apr 2 400

May 15 498

Jun 3 500

Jul 3 395

Aug 2 393

Sep 3 625

Oct 13 465

Nov 5 446

Dec 3 510

Average 5.25 483.08

1 169

3 99

1 208

1 196

1 132

1 89

1 167

2 200

1 171

1 122

3 107

1 132

1.42 149.33

3. From January 1846 through December 1848 Semmelweis ([1860] 1983) recorded births and the number that resulted in the death of the mother at his hospital. The data is available in the Chapter07.xls file, in the Problem07–03 tab. Create a p chart to analyze performance. Interpret the chart. Was the system stable?

4. Postsurgical infections have been reported to affect 2% to 5% of the 16 million patients who undergo surgery in U.S. hospitals. Infections increase the chance of complications and death. Antibiotics given one hour prior to surgery have been shown to reduce the probabil- ity of infection. The director of quality improvement has sampled 20 patients per week over the preceding 25 weeks. The data is available in the Chapter07.xls file in the Problem07–04 tab. The data collected records whether a patient contracted an infection after surgery. Create a p chart to analyze performance. Interpret the hospital’s performance based on your control chart and identify any issues that should be investigated. Assuming the aver- age rate of infection is 3.5%, is the hospital doing a good job?

5. Readmission rates within one year for congestive heart failure have been documented at 35%. A local heart program wants to assess its performance against this standard. The pro- gram has randomly selected ten patients per month over a 24-month period for review. The data is available in the Chapter07.xls file, in the Problem07–05 tab. Some of the patients were deleted from the sample due to death, relocation, or other reasons that preclude follow-up. Create a p chart. Is the process stable? How is the program performing relative to the documented standard? Since not all months have 10 observations, either use 10 as the sample size or use the average sample size to calculate the control limits.