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Realizing the Benefits of Health IT For CHCs
November 8, 2005
Ralph Silber, MPH, CEOCommunity Health Center Network1320 Harbor Bay Parkway, Suite 250
Alameda, CA 94502www.chcn-eb.org
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Asian Health Services
Axis Community Health
La Clinica de La Raza
LifeLong Medical Care
Native American Health Center
Tiburcio Vasquez Health Center
Tri-City Health Center
Our Community Health Centers
3
Sex %
Male 37
Female 63
Age %
<15 29
15-24 16
25-34 14
35-44 12
45-54 11
55-64 8
65+ 10
Race/Ethnicity %
Asian 24
African-American 9
Latino 51
Native American 2
White 10
Other 4
Payor %
Uninsured 41
Medi-Cal 34
Medicare 9
Healthy Families 3
Private Insurance 12
Patients with Chronic Diseases N
Cardiovascular Diseases 11,717
Diabetes 5,499
Demographics of CHCN Patients*, 2003 (N=92,054)
* Patients with 1 or more encounters
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The Evolution of Clinical IT
Community Health Center Network
Managed Care MSO-Quality Improvement
E-prescribing
Hospital Connectivity
Data Integration Products
Electronic Health Records
Chronic Disease
Management
Registries
Practice Management
System Support
Clinical Measures Data Warehouse
P4P
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CHCN Development of IT Solutions
• Development of CHCN IT Projects to drive efficiencies and improve patient outcomes– Ezcap Managed Care System– Data Warehouse (all encounters from 1999; lab results from
2000)– Merritt Practice Management: 4 health center collaboration in a
single data center– Disease registries– Web Portal as the CHCN “Virtual Home”– E-Checker to electronically check eligibility– One-E-App: One stop application for health programs– Participation in CALINX Lab Standard Development– Data Access to County Health System (ACMC)
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Clinical IT• CHCN’s Vision of developing of Clinical IT “savvy” organizations
– Systemic approach towards needs assessment, business analysis, operational impact
– Context of rapidly changing market and technologies• Support by Tides Foundation and CHCF• Outcomes so far:
– Central CIT Council and “Local” committees– Educational efforts (e.g. modular approach (chronic disease management
systems) with Integration Engine vs. E.H.R.)– Developing an organized approach to decision-making– Pilot projects
• Upcoming– By the end of year, recommendations on direction of CIT development and the
degree of collaboration• Noteworthy Observations
– With the evolving market, we have come to appreciate the difficulty in selecting a cost-effective solution to our needs
– Complexity of integrating data across disparate systems
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• Clinics on different practice management systems
• We wanted to work with what we had and keep it simple and inexpensive
• We can look at the quality of care for all our patients
• We believe that measuring quality makes a difference
• We had already organized efforts to improve care for patients with diabetes and asthma; smoking as a vital sign
Why a Data Warehouse and Clinical Measures Approach?
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•Medical Directors select clinical measures and agree on methodology
•Extract data from data warehouse
•Chart reviews
•Analyze data by insurance status, ethnicity, and clinic
•Compare our data to state and national benchmarks
•P4P
How We Do It
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Percentage of Diabetics with 1 or More HbA1c Tests, 7/1/03-6/30/04
50
80
90
0
10
20
30
40
50
60
70
80
90
100
Healthy People 2010Goal
HEDIS Average CHCN Average
Percent
10
Frequency of 1 or More HbA1c Tests by Demographics and Insurance Coverage, CHCN, 2001
91
85
93
92
79
84
93
93
92
0 20 40 60 80 100
Medicare
Commercial
Medi-Cal
Uninsured
White
African Am.
Asian/PI
Native Am.
Latino
% of Patients with 1 or More HbA1c Tests, 10/1/00 to 9/30/01
Ethnicity/Race
Insurance Coverage
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Prevalence of Asthma Controller Medication Use by Clinic and Patient Demographics, CHCN, 7/1/02 to 6/30/03
77
85
91
93
64
64
87
0 20 40 60 80 100
White
Latino
Asian/PI
African Am.
HEDIS
CA Dept. of Managed Health Care
CHCN
% of Patients with Documented Controller Medication
Based on 338 patients with 3 or more ICDs of 493, 4 or more pharmacy claims for an asthma medication, or 1 or more asthma hospitalizations (7/01/01 to 6/30/02) and not classified as “mild intermittent” asthma in medical chart
Ethnicity/Race
Medication Use Averages
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Prevalence (%) of Asking Adults about Tobacco Use During 1 or More Encounters, CHCN, 2002 - 2003
59%
85%
0
20
40
60
80
100
CHCN 2002 Ave. (N=649) CHCN 2003 Ave. (N=900)
Percent
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Age-Adjusted* Prevalence (%) of Obesity (BMI > 30) in Adults, CHCN, 2003
15%
27%
20%
0 10 20 30 40 50
Helathy People 2010Goal
US Population (1990 -1999)
CHCN Ave. 2003(N=747)
Percent
* Adjusted to the 2000 US Population Standard