Acute and Chronic Inflammatory Bowel Disorders and Bowel Diseases
Six Sigma Case Study: Surgical Site infections in Bowel cases
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Transcript of Six Sigma Case Study: Surgical Site infections in Bowel cases
Six Sigma in Healthcare - March 3-4, 2005 - New Orleans, LA
Six Sigma Case Study:
Surgical Site infections in Bowel cases
Nick Nauman, MBB
Commonwealth Health Corporation
Six Sigma in Healthcare - March 3-4, 2005 - New Orleans, LA
Three hospital campuses
Full range acute & tertiary Open heart surgery Cancer treatment Neonatal Intensive Care Psychiatric Services Home Health EMS Managed Care Primary care walk-in clinics OP Rehab Center Physician Practices Free Clinic Long Term Acute Care Hospital
437 acute care beds
105 long-term care
$350M Revenue annually
Six Sigma in Healthcare - March 3-4, 2005 - New Orleans, LA
Six Sigma: The Basics
“Sigma” is another word for standard deviation.
“Six” refers to the level of defects per million opportunities. The higher the number, the fewer the defects.
Most companies operate around a Three to Four Sigma.
σ Defects Per Million
Opportunities
123456
697,672.15308,770.2166,810.636,209.70232.673.40
From 3σ to 6σ represents a 20,000 times improvement in
quality.
Six Sigma in Healthcare - March 3-4, 2005 - New Orleans, LA
Evolution of Healthcare Quality Initiatives
Inte
nsi
ty
Time
Six Sigma:Statistical Analysis/Data Driven
Outcomes Measurements:Benchmarking; Care Plans/Critical Paths
Continuous Quality Improvement:Team Based Charters; Soft Skills
Quality Assurance Programs:Retrospective measurements
GE, MotorolaAllied Signal
Managed Care;Payors
Accreditation, Licensure,
Regulations, Risk & Liability
Deming & Juran
Six Sigma in Healthcare - March 3-4, 2005 - New Orleans, LA
Pursuing Perfection
The Effectiveness (E) of the result is equal to the Quality (Q) of the solution times the Acceptance (A) of the idea.
Work-OutTM
Six SigmaMethodology
Change Acceleration
ProcessEffectiveResults
62% of quality initiatives fail from lack of attention to the cultural and people
side of change – the “A.”
Q x A = E
Six Sigma in Healthcare - March 3-4, 2005 - New Orleans, LA
Organizational Dashboard for Success
Customer Satisfaction: Press Ganey
Quality of Care: Timeliness of Service within Core processes and CMS projects for Improved Quality
Cost Efficiency: Six Sigma Cost savings
Six Sigma in Healthcare - March 3-4, 2005 - New Orleans, LA
Six Sigma Functional Structure
Jean CherryCorporate
Sponsor
Connie SmithCorporateSponsor
Ron SowellCorporateSponsor
Press Ganey Score & Target
Timeliness Z Score & Target
Cost Efficiency & Target
ProjectSponsorsProject
Sponsors
MasterBlack Belts
(3)
MasterBlack Belts
(3)
Bro
wn
Belt
s(1
7)
Bro
wn
Belt
s(1
7)
ChangeAgents
(9)
ChangeAgents
(9)
Green Belts(70)
Green Belts(70)
Joh
n C
. D
esm
ara
is
Six Sigma in Healthcare - March 3-4, 2005 - New Orleans, LA
WORLD CLASS CARE
QUALITYPRACTICE
QUALITYPROCESS
EFFECTIVE & EFFICIENTUSE OF RESOURCES
Six Sigma in Healthcare - March 3-4, 2005 - New Orleans, LA
Project completed by Infection Control Practitioner
Case Study:Surgical Site infections in Bowel cases
Problem: A higher than expected number of post-op infections in bowel cases has been identified.
Customer(s) identified: Patient, Physician, Payer
Specification: Using a CDC standard, any post-op infection or wound integrity problem occurring within 30 days.
Data collected for 60 patients over a 6 month period.
The higher than expected rate adversely affects quality of care, patient days and cost.
Multi-disciplinary Team formed to assist on the project.
Six Sigma in Healthcare - March 3-4, 2005 - New Orleans, LA
Current process performance:
DPPM = 333,333
Z Short Term = 1.931
Characteristic
1
Total
Defs
20
20
Units
60
Opps
1
TotOpps
60
60
DPU
0.333
DPO
0.333333
0.333333
PPM
333333
333333
ZShift
1.500
1.500
ZBench
1.931
1.931
Report 7: Product Perf ormance
Performance Level
Six Sigma in Healthcare - March 3-4, 2005 - New Orleans, LA
Trivial Many Variables
Sex Age Discharge instructions Day of week Time of day Flashed instruments
used Prophylactic antibiotics Bowel Prep Surgeon & others on
case Shave prep Surgical prep Pt. risk factors Reason for surgery Type of drape used Skin closure used
Drains used Irrigant How much Dressing Post-op unit Complications When out of bed Discharge status Powdered gloves used Oxygen use Home w
staples/suture in Type procedure # of procedures Hibiclens bath pre-op Length of stay Length of case ASA & NNIS risk index
With the Team’s help, we were able to develop a lengthy list of factors that influence infections in patients.
Six Sigma in Healthcare - March 3-4, 2005 - New Orleans, LA
Vital Few Variables
Using Chi Square, we determined these variables impact the process the most.
Type dressing applied post-op (dry dressing vs. betadine vs. bacitracin/bactroban)
Betadine dressing vs. bacitracin/bactroban
O2 use on post-op unit (none, liter flow, concentration)
O2 use on post-op unit (<40% vs. >40%) Hibiclens bath pre-op Discharge to self care vs. HC vs. other
facility Discharge to self care vs. other # procedures performed
Six Sigma in Healthcare - March 3-4, 2005 - New Orleans, LA
Pilot
For the most part, the surgeons were receptive to the recommendations. Anesthesia was very willing to implement the suggested oxygen delivery.
Hibiclens shower within 48 hours pre-op. Dry sterile dressing or only Bactroban or
Bacitracin ointment. > 40% oxygen in the OR. > 40% oxygen during the immediate 2
hour post-op period. These specific recommendations were
presented to general surgeons and anesthesia via a letter from the hospital Epidemiologist and Infection Control Nurse. Additionally, several meetings were held with the Chief Anesthesiologist regarding oxygen utilization in the OR and in PACU.
Six Sigma in Healthcare - March 3-4, 2005 - New Orleans, LA
Chi Square
There is a statistically different (lower) rate of post-op infections after the improvements were implemented.
Chi-Square Test: CombFail, CombPass
Expected counts are printed below observed counts
CombFail CombPassTotal
Original 20 40 60
13.73 46.27
Improved 7 51 58
13.27 44.73
Total 27 91 118
Chi-Sq = 2.865 + 0.850 +
2.963 + 0.879 = 7.557
DF = 1, P-Value = 0.006
Six Sigma in Healthcare - March 3-4, 2005 - New Orleans, LA
Sample size
Since there are very few bowel cases performed, data collection will be on-going.
Sample Size Required To Statistically Confirm PPM Reduction
DPPM p(d) ZST
Process performance (Before change) --> 333,333 33.3% 1.9
Process performance (After change) --> 120,690 12.1% 2.7
Opportunities on each unit: --> 1
Confidence --> 95.0%
TOP's UnitsSample size required to distinguish between processes --> 77 77
Six Sigma in Healthcare - March 3-4, 2005 - New Orleans, LA
Characteristic
Historical
New (May-Nov 02)
Total
Defs
20
7
27
Units
60
58
Opps
1
1
TotOpps
60
58
118
DPU
0.333
0.121
DPO
0.333333
0.120690
0.228814
PPM
333333
120690
228814
ZShift
1.500
1.500
1.500
ZBench
1.931
2.672
2.243
Report 7: Product Performance
Improved Performance Level
The defect rate dropped from 33% to 12% based on the improvements piloted.
Six Sigma in Healthcare - March 3-4, 2005 - New Orleans, LA
Control Mechanism
0 1 2 3 4 5 6 7 8 9
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
Sample Number
Pro
por
tion
P-chart for Post-Op Bowel Infections
P=0.1688
UCL=0.4590
LCL=0
Improvements Implemented
To be updated monthly as part of an ongoing infection control effort.
Six Sigma in Healthcare - March 3-4, 2005 - New Orleans, LA
Final Steps
Update/Report findings to the Team on the outcome of the pilot.
Continue to monitor the outcomes and update the control chart on a monthly basis.
Report any indications that the process is out of control to the Infection Control Team. We will take appropriate action as necessary.
Six Sigma in Healthcare - March 3-4, 2005 - New Orleans, LA
Questions and Answers
Email: [email protected]
Phone: (270) 745-1520