heal teach discover serve frederick j. bloom, jr. md mmm assistant chief quality officer quality...
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Heal • Teach • Discover • Serve
Frederick J. Bloom, Jr. MD MMM
Assistant Chief Quality Officer
Quality Improvement Using Systems of Care
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Adults in the US received 54.9% of recommended care
• Acute care – 53.5%• Care for chronic conditions – 56.1%• Preventive care – 54.9%
N Engl J Med 2003; 348:2635-45
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Time Required for Primary Care of Patients
• Acute Care 4.6 hours/day• Preventive Care 7.4 hours/day• Chronic Care 10.6 hours/day
22.6 Hours/day
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Improving The Reliability and Consistency of Care Delivered to a Population
• Chronic Care– DM Improvements– CAD Improvements
• Preventive Care– Childhood Immunizations– Adult Preventive Bundle
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Operational Flows
• Improving reliability and safety in health care is about designing consistent operational flows
• An electronic health record is a tool to help create consistent designs, but is not itself the answer
• Sustained improvement does not rely on “I’ll remember to do it the next time”, does not rely on vigilance and hard work
• Operational flows make sure that the care we all know should be provided, happens every time
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Clinical Process RedesignComponents of a System of Care
Established Techniques• Guideline
Development• Education• Measurement• Timely Feedback of
Data• Patient Education
New Techniques• Delegated Team
Responsibilities• Strategies to Pull
Patients into Care• Non Office Visit
Based Care• EMR Reminders • Pay for Performance
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Workflow Principles
1. Automate work that can be done outside of a office encounter
2. Distribute work that is done at an office visit to trained non-physician staff when possible
3. Create reminders and EMR tools to enhance the reliability and efficiency of care provided at the office encounter
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Systems of Care - Diabetes
• All or None “Bundle” measure for Diabetes• Clinical process redesign – Automating the
processes• Clinical decision support – Health Maintenance
and Best Practice Alerts• Patient specific strategies using registry report
data• Patient centered strategies – Patient report
cards• Compensation
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All or None Measures
• Measure the percentage of patients who receive all related services, not the scores of the individual measures
• Better reflects the patient’s interest and desires – to have all recommended care provided
• Encourages a systems approach to achieving all goals rather than work on one measure at a time
• Gives a more comprehensive scale for tracking systemic improvements
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All or None Measure
Even if individual criteria have great results, when calculated as an All or None metric – the need to work differently (systems of care) becomes evident
Goal Non-SmokerInfluenza
Immunization HgbA1c <7 BP < 130/80 LDL < 100Complete
BundlePatient 1Patient 2Patient 3Patient 4Patient 5Percentage 80% 80% 60% 60% 60% 0%
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Diabetes Bundle
Measures
HgbA1C measurement X
HgbA1C control X
LDL measurement X
LDL control X
Blood pressure control X
Urine protein testing X
Influenza immunization X
Pneumococcal immunization XSmoking status X
Patients who receive/achieve ALL of the above X
Yearly
Once before 65, Once after 65Non-smoker
DM Bundle Percentage
Yearly
< 100
< 130/80
Quality Standard
Every 6 months
Yearly
< 7
Measures
HgbA1C measurement X
HgbA1C control X
LDL measurement X
LDL control X
Blood pressure control X
Urine protein testing X
Influenza immunization X
Pneumococcal immunization XSmoking status X
Patients who receive/achieve ALL of the above X
Yearly
Once before 65, Once after 65Non-smoker
DM Bundle Percentage
Yearly
< 100
< 130/80
Quality Standard
Every 6 months
Yearly
< 7
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Diabetes Bundle Score
• Not all patients should achieve each measure – for instance not all diabetics should have a HgbA1c < 7
• Individual component scores for GHS were very good – above the ADA recommended goals
• Yet initial GHS score was only 2.4%
• Easy to recognize that a dramatic restructuring of the care provided to diabetics was needed
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DM Clinical Process Redesign• Standardization of clinical practices – Nurse Rooming
Tool, Standing Orders• Automated identification of diabetics and care plan status
– Health Maintenance Alerts, Disease Summary Screen• Automated identification of suboptimal care – Best
Practice Alerts• Automatic generation of appropriate orders – Smartsets
and Order Panels• Automatic generation of patient specific report cards at
checkout• Automatic outreach to patients – Influenza / Pneumococcal
Campaign, Chronic Disease Return Visit program
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Nurse Rooming Tool
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Nurse Rooming Tool Improvements
0
1000
2000
3000
4000
5000
6000
7000
8000
Dec-05 Jan-06 Feb-06 Mar-0666687072747678
8082848688
Jul-07 Aug-07 Sep-07 Oct-07 Nov-07
MyG Enrollments Urine Microalbumin
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DM Health Maintenance Alerts
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DM HM Alerts for Patients
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Diabetes Best Practice Alerts
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Diabetes: Patient Letter/Report Card
Last 2-3 values displayed
LDL values and goals.
Last BP readings
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Flu / Pneumovax Outreach to Patients
• One technique of successful improvement is to link a process that needs improvement with an already reliable process
• Linked pneumococcal vaccination with the influenza vaccination campaign in the minds of our patients, nurses and physicians
• A pull strategy using letters, phone calls from our call center and e-mails to MyGeisinger patients
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Pneumococcal Immunization Age >65
0
500
1000
1500
2000
2500
3000
3500
Sept Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug
2007/2008 2006/2007 2005/2006 2004/2005 2003/2004 2002/2003
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Pneumococcal Immunization Age >65
0
500
1000
1500
2000
2500
3000
3500
Sept Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug
2007/2008 2006/2007 2005/2006 2004/2005 2003/2004 2002/2003
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Pneumococcal Immunization Age >65
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Pneumococcal Immunization Age >65 High Risk Patients
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Influenza Immunization
0
5,000
10,000
15,000
20,000
25,000
30,000
35,000
40,000
Sept Oct Nov Dec Jan Feb Mar
2007/2008
2006/2007
2005/2006
2004/2005
2003/2004
2002/2003
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Influenza Immunization Age > 65
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Influenza Immunization Age >65 High Risk Patients
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Patient Outreach ProgramsContacting Patients in Need of Care
• Chronic Disease Return Program – Patients under care for DM,CAD, COPD, ESRD without an visit in 6 months
• Patients 19 months old who are behind on immunizations
• Patients due for screening colonoscopy, DXA screening
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Timely Feedback of Data• EPIC EMR allows collection of clinical data without manual
chart reviews
• Data is collected on an individual physician basis, but summarized into site reports to encourage team based solutions and accountability
• 9 components the Diabetic Bundle being collected this year
• Bundle percentage is the percentage of the site patients who are achieving all 9 of their diabetic goals
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Improving Diabetes Care for 23,254 patients
3/06 3/07 8/08 8/09
Diabetes Bundle Percentage 2.4% 7.2% 12.49% 12.63%
% Influenza Vaccination 57% 73% 73% 73%
% Pneumococcal Vaccination 59% 83% 85% 84%
% Microalbumin Order 58% 87% 86% 88%
% HgbA1c < 7.0 33% 37% 47% 44%
% LDL < 100 50% 52% 60% 61%
% BP < 130/80 39% 44% 51% 52%
% Documented Non-Smokers 74% 84% 85% 85%
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Diabetes Bundle Primary Care Average
Diabetes Bundle Improvement (7/06-7/09)
R2 = 0.829
0%
3%
7%
10%
13%
16%
DM
Bundle
Per
centa
ge
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Diabetes Bundle ImprovementNumber of Bundle Elements Achieved
% of all diabetic patients
20%
10%
0 1 2 3 4 5 6 7 8 All
3/31/06
6/30/06
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Diabetes Bundle ImprovementNumber of Bundle Elements Achieved
% of all diabetic patients
20%
10%
0 1 2 3 4 5 6 7 8 All
3/31/06
9/30/06
6/30/06
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Diabetes Bundle ImprovementNumber of Bundle Elements Achieved
% of all diabetic patients
20%
10%
0 1 2 3 4 5 6 7 8 All
3/31/06
9/30/06
6/30/06
12/31/06
7%
2.5%
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0%
5%
10%
15%
20%
25%
30%
0 1 2 3 4 5 6 7 8 ALL
Diabetes Bundle ImprovementMovement Since Year 1
12/08
6/08
12/07
6/09
6/07
12/06
% of all diabetic patients
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Improving CAD Care for 14,660 Patients
9/06 3/07 8/08 8/09
CAD Bundle Percentage 8% 11% 20% 20%
% LDL <100 or <70 if High Risk 38% 37% 46% 47%
% ACE/ARB in LVSD,DM, HTN 65% 66% 75% 76%
% BMI measured 79% 86% 98% 98%
% BP < 140/90 74% 74% 78% 79%
% Antiplatelet Therapy 89% 91% 92% 92%
% Beta Blocker use S/P MI 97% 97% 97% 97%
% Documented Non-Smokers 86% 86% 87% 87%
% Pneumococcal Vaccination 80% 80% 86% 86%
% Influenza Vaccination 60% 74% 75% 76%
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CAD Bundle Primary Care AveragePrimary Care Average CAD Bundle
R2 = 0.843
0
5
10
15
20
25
CAD
Bund
le Pe
rcen
tage
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Childhood Immunization Process Improvement
• Standard Geisinger Immunization Schedule • Health Maintenance Alerts in EPIC• Automatic generation of letters to parents of
children behind on immunization at ages 8 and 19 months
• Call to patients at 19 months to schedule needed appointment
• List to primary care physician at age 22 months if still behind
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Childhood Immunization
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Adult Prevention Bundle
• Based on US Preventive Services Task Force (USPSTF) Recommendations and 2007 ACIP Immunization Schedule
• Received input from a broad group of primary care physicians from CPSL and GIM and also selected specialists
• Roll Out 1/08
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Adult Prevention Bundle
Recommendation
AGE/SEX
AdultPrevention
Bundle
18-49 50-64 Over 65
Female Male Female Male Female Male
Cancer Screening
Breast CancerMammogram every 2yr 40-49, every
year 50-74 x (>40) x x (<75) x
Cervical Cancer Pap every 3 yr 21-64 x (>21) x x
Colon CancerColonoscopy every 10 yrs or FOBT
yearly x x x (<85) x (<85) x
Prostate Cancer DiscussionDiscuss prostate cancer screening
yearly 50-74 x x (<75) x
Lung Cancer Non-smoker See Tobacco Screening Below
Cardiovascular Disease
Lipid Screening Every 5 years M>35,F>45 x (>45) x (>35) x x x (<75) x (<75) x
Tobacco Screening Non-smoker x x x x x x x
Infectious Disease
Tetanus/Diptheria/ Pertusis Vaccine Tdap once then Td every 10 years x x x x x x x
Influenza Vaccine Yearly >50 x x x x x
Pneumococcal Vaccine Once >65 x x x
Chlamydia Screening Yearly 18-25 x (<26) x
Metabolic, Nutritional and Endocrine
Osteoporosis Every 3 years >65 x x
Diabetes Every 3 years >45 x (>45) x (>45) x x x x x
Obesity BMI in EPIC x x x x x x x
Substance Abuse
Alcohol MisuseAssess alcohol intake - Social
History Completed x x x x x x x
MAXIMUM NUMBER OF BUNDLE MEASURES FOR EACH AGE/SEX CATEGORY 9 6 10 9 11 10
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Adult Prevention Bundle
• 203,695 Patients
• 66% of recommended tests performed on these patients
• Initial Adult Prevention Bundle Percentage = 9.2%
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Improving Preventive Care for 206,595 Patients11/07 7/09
Adult Preventive Bundle 9.2% 24%
Breast Cancer Screening (q 2 40-49, q 1 50-74) 46% 60%
Cervical Cancer Screening (q 3 yr Age 21-64) 64% 73%
Colon Cancer Screening (Age 50-84) 44% 60%
Prostate Cancer Discussion (Age 50-74) 72% 73%
Lipid Screening (Every 5 yr M > 35, F > 45) 75% 81%
Diabetes Screening (Every 3 yr > 45) 85% 86%
Obesity Screening (BMI in Epic) 77% 94%
Documented Non-Smokers 75% 78%
Tetanus Diphtheria Immunization (every 10 yr) 35% 61%
Pneumococcal Immunization (Once Age >65) 84% 86%
Influenza Immunization (Yearly Age >50) 47% 53%
Chlamydia Screening (Yearly Age 18-25) 22% 32%
Osteoporosis Screening (every 3 yr Age > 65) 52% 64%
Alcohol Intake Assessment 84% 88%
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Proving a Difference in our Market
Geisinger Health Plan Patients
• About 50% cared for by Geisinger Clinic Physicians
About 50% cared for by Panel Physicians
• About 30% of Geisinger Clinic patients are GHP
• HEDIS scores should be a fair comparison
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GHP GOLD HEDIS PerformanceGeisinger Clinic compared to Panel Providers
Study ResultsTotal Rate Clinic Panel Test of Means
orPopulation Inferences
Effectiveness of Care (a = .10), two tailComprehensive Diabetes Care:
HbA1c tested 94.2% 98.8% 87.7% Statistically Higher P<0.0001HbA1c Good control <7.0% 51.3% 55.8% 45.0% Statistically Higher P=0.0308
HbA1c Poor controlled >9.0% (Lower rate indicates better performance) 12.7% 5.4% 22.8% Statistically Higher P<0.0001
Lipid Profile performed 92.0% 95.4% 87.1% Statistically Higher P=0.0023LDL-C <100 54.5% 58.3% 49.1% Statistically Higher P=0.0643
Diabetic Retinal Eye Exams 88.1% 92.5% 81.9% Statistically Higher P=0.001BP controlled <130/80 44.3% 52.9% 32.2% Statistically Higher P<0.0001BP controlled <140/90 69.6% 75.4% 61.4% Statistically Higher P=0.0023
Kidney Disease monitored 93.4% 96.7% 88.9% Statistically Higher P=0.0016Breast CA Screening 83.5% 88.6% 77.6% Statistically Higher P<0.0001Colorectal CA Screening 65.8% 70.8% 60.5% Statistically Higher P=0.0324Cholesterol Mgmt after Acute Cardio - LDL Screening 93.0% 97.6% 88.3% Statistically Higher P=0.0003 - LDL <100 67.1% 72.6% 61.4% Statistically Higher P=0.0178Controlling High Blood Pressure 67.2% 73.9% 60.1% Statistically Higher P=0.0051Antidepressant Med Mgmt - Optimal Practitioner Contacts 16.1% 14.7% 17.0%Spirometry Testing for COPD 41.8% 59.4% 33.2% Statistically Higher P<0.0001Glaucoma Screening 76.7% 81.0% 71.9% Statistically Higher P<0.0001
HEDIS 2008
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GHP GOLD HEDIS PerformanceGeisinger Clinic compared to Panel Providers
Study ResultsTotal Rate Clinic Panel Test of Means
orPopulation Inferences
Effectiveness of Care (a = .10), two tailComprehensive Diabetes Care:
HbA1c tested 94.2% 98.8% 87.7% Statistically Higher P<0.0001HbA1c Good control <7.0% 51.3% 55.8% 45.0% Statistically Higher P=0.0308
HbA1c Poor controlled >9.0% (Lower rate indicates better performance) 12.7% 5.4% 22.8% Statistically Higher P<0.0001
Lipid Profile performed 92.0% 95.4% 87.1% Statistically Higher P=0.0023LDL-C <100 54.5% 58.3% 49.1% Statistically Higher P=0.0643
Diabetic Retinal Eye Exams 88.1% 92.5% 81.9% Statistically Higher P=0.001BP controlled <130/80 44.3% 52.9% 32.2% Statistically Higher P<0.0001BP controlled <140/90 69.6% 75.4% 61.4% Statistically Higher P=0.0023
Kidney Disease monitored 93.4% 96.7% 88.9% Statistically Higher P=0.0016Breast CA Screening 83.5% 88.6% 77.6% Statistically Higher P<0.0001Colorectal CA Screening 65.8% 70.8% 60.5% Statistically Higher P=0.0324Cholesterol Mgmt after Acute Cardio - LDL Screening 93.0% 97.6% 88.3% Statistically Higher P=0.0003 - LDL <100 67.1% 72.6% 61.4% Statistically Higher P=0.0178Controlling High Blood Pressure 67.2% 73.9% 60.1% Statistically Higher P=0.0051Antidepressant Med Mgmt - Optimal Practitioner Contacts 16.1% 14.7% 17.0%Spirometry Testing for COPD 41.8% 59.4% 33.2% Statistically Higher P<0.0001Glaucoma Screening 76.7% 81.0% 71.9% Statistically Higher P<0.0001
HEDIS 2008
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GHP GOLD HEDIS PerformanceGeisinger Clinic compared to Panel Providers
Study ResultsTotal Rate Clinic Panel Test of Means
orPopulation Inferences
Effectiveness of Care (a = .10), two tailComprehensive Diabetes Care:
HbA1c tested 94.2% 98.8% 87.7% Statistically Higher P<0.0001HbA1c Good control <7.0% 51.3% 55.8% 45.0% Statistically Higher P=0.0308
HbA1c Poor controlled >9.0% (Lower rate indicates better performance) 12.7% 5.4% 22.8% Statistically Higher P<0.0001
Lipid Profile performed 92.0% 95.4% 87.1% Statistically Higher P=0.0023LDL-C <100 54.5% 58.3% 49.1% Statistically Higher P=0.0643
Diabetic Retinal Eye Exams 88.1% 92.5% 81.9% Statistically Higher P=0.001BP controlled <130/80 44.3% 52.9% 32.2% Statistically Higher P<0.0001BP controlled <140/90 69.6% 75.4% 61.4% Statistically Higher P=0.0023
Kidney Disease monitored 93.4% 96.7% 88.9% Statistically Higher P=0.0016Breast CA Screening 83.5% 88.6% 77.6% Statistically Higher P<0.0001Colorectal CA Screening 65.8% 70.8% 60.5% Statistically Higher P=0.0324Cholesterol Mgmt after Acute Cardio - LDL Screening 93.0% 97.6% 88.3% Statistically Higher P=0.0003 - LDL <100 67.1% 72.6% 61.4% Statistically Higher P=0.0178Controlling High Blood Pressure 67.2% 73.9% 60.1% Statistically Higher P=0.0051Antidepressant Med Mgmt - Optimal Practitioner Contacts 16.1% 14.7% 17.0%Spirometry Testing for COPD 41.8% 59.4% 33.2% Statistically Higher P<0.0001Glaucoma Screening 76.7% 81.0% 71.9% Statistically Higher P<0.0001
HEDIS 2008
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Pay for Performance
• Insurers starting to pay more for higher quality performance– Geisinger Health Plan and other HMO’s– Medicare
• Geisinger Primary Care Physicians earn 10-20% of salary based on quality performance
• $8,000/year available for Diabetes, CAD and Adult Prevention Incentives
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Lessons Learned• It is not the tool created in the electronic medical record,
but its implementation into a system of care that makes it successful
• Spreading the work out over a team, each with clearly defined roles improves reliability
• Measures are never perfect, but improve with time and are vital to the change process
• Compensation helps focus attention, but is not sufficient to drive change
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DM Trending – Last 13 Months
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Diabetes Trending
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