Create Attribute Control Charts

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: (3–4 pages)Using SPSS and Microsoft Word, complete problems 1 through 5 on pages 297–299 in the Ross textbook. Show allwork. Submit both your SPSS and Word files. Ross, T. K. (2014). Health care quality management: Tools and applications. San Francisco, CA: Jossey-Bass.Chapter 7, “Statistical Process Control for Monitoring Failure Rates” (pp. 265–299)Arthur, J. (2016). Statistical process control for health care. Quality Digest. Available at https://www.qualitydigest.com/currentmag/articles/03_article.shtml> U.S. Department of Commerce, National Institute of Standards and Technology. (2016). NIST/SEMATECH e-handbook of statistical methods. Retrieved from http://www.itl.nist.gov/div898/handbook
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Chapter 7 – Statistical Process Control for Monitoring Failure Rates
Problem 7.3 – Semmelweis
Month
Jan 1846
Feb
March
April
May
June
July
August
September
October
November
December
Jan 1847
Feb
March
April
May
June**
July
August
September
October
November
December
Jan 1848
Feb
March
April
May
June
July
August
September
October
November
December
Births
336
293
311
253
305
266
252
216
271
254
297
298
311
312
305
312
294
268
250
264
262
278
246
273
283
291
276
305
313
264
269
261
312
299
310
373
Deaths
45
53
48
48
41
27
33
39
39
38
32
16
10
6
11
57
36
6
3
5
12
11
11
8
10
2
0
2
3
3
1
0
3
7
9
5
Rate
13,4
18,1
15,4
19,0
13,4
10,2
13,1
18,1
14,4
15,0
10,8
5,4
3,2
1,9
3,6
18,3
12,2
2,4
1,2
1,9
5,2
4,0
4,5
2,9
3,5
0,7
0,0
0,7
1,0
1,1
0,4
0,0
1,0
2,3
2,9
1,3
Source: Semmelweis I, 1983, The Etiology, Concept, and Prophylaxis of Childbed Fever, The University of Wisconsin Press, M
niversity of Wisconsin Press, Madison WI (originally published 1860) pp. 85, 90-91.
Chapter 7 – Statistical Process Control for Monitoring Failure Rates
Problem 4 – Surgical Infections
Patient
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
Sample
1
2
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
3
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
4
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
5
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
6
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
7
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
8
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
9
10
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
11
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
12
0
0
0
0
0
1
0
0
0
0
0
0
0
1
0
0
0
0
0
0
13
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
14
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
15
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
16
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
17
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
18
19
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
20
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
21
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
22
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
23
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
24
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
25
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
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0
0
0
0
1
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0
0
0
Chapter 7 – Statistical Process Control for Monitoring Failure Rates
Problem 7.5 – Readmission Rates
Month
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
Readmits
3
3
4
3
3
3
3
3
3
3
3
2
3
2
3
2
3
2
3
3
2
2
2
2
Sample
10
10
10
8
10
9
10
9
9
10
9
10
10
8
10
9
10
9
10
10
10
10
8
9
1
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