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Relationship Between the Chronic Care Model and Diabetes Outcomes

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Title: Relationship Between the Chronic Care Model and Diabetes Outcomes


1
Relationship Between the Chronic Care Model and
Diabetes Outcomes
  • Laurie Hurowitz, PhD,
  • Benjamin Littenberg, MD, and
  • Charles D. MacLean, MDCM
  • General Internal Medicine, College of Medicine
  • AcademyHealth, Boston, MA, June 28, 2005

2
Context Chronic Illness Care
  • Current health care services are designed to
    deliver acute care
  • Need to redesign health care to deliver
  • more effective preventive services
  • more effective services to those with one or more
    chronic illnesses

3
The Chronic Care Model (CCM)
Community Resources Policies
Health System Organization
Organization of Care
Decision Support
Clinical Information Systems
Self-Management Support
4
Current Research CCM Outcomes
  • Most research has focused on elements of the CCM
    and outcomes, and not the model as a whole.
  • Clinical Tool Assessment of Chronic Illness Care
    pre/post measure, sensitive to organizational
    change.

5
Research Question
  • What is the relationship between primary care
    practice organization across all components of
    the Chronic Care Model and glycemic control for
    patients with diabetes?

6
Methods
  • Design - Cross-sectional, observational study
  • Subjects - Adults diagnosed with diabetes in care
    in primary care practices in a rural VT, NH, and
    NY.
  • 2 measures

7
Predictor Measure
  • The Assessment of Diabetes Care, adapted from
  • the Assessment of Chronic Illness Care version
    3.5
  • (organizational change - organizational status)
  • 33 prompts/stems
  • 12-point response scale descriptors provided
  • Subscale scores (0-11) overall score is average
    (0-11)
  • Practice average average across all
    practitioners
  • Higher scores are associated with greater
    conformance with the CCM.

8
Sample Item Subscale Overall System of Health
Care
Overall Goals for Diabetes Care (circle one) 0
1 2 3 4 5 6
7 8 9 10 11
Do not exist. Exist but are not
Are measurable Are measurable, reviewed
actively reviewed.
and reviewed. routinely, and incorporated

into
plans for improvement.
9
Outcome Measure
  • Glycosylated hemoglobin, as measured by
  • the A1C assay (A1C)
  • Source
  • adult patients diagnosed with diabetes
  • Practice average - baseline measure from the
    Vermont Diabetes Information System (VDIS)
  • For patients with diabetes, lower A1Cs are
  • associated with better clinical outcomes.
  • Even small decreases are related to
  • improving the burden of diabetes.

10
Results
Practice Characteristics N30
of Practices w/ one PCP completing ADC ( VDIS) 30 (48)
of PCPs completing the ADC Survey ( of total in VDIS) 50 (40)
Number of PCPs/Practice Completing Survey 1 to 5
Average Number of Patients with Diabetes/Practice (range) 98 (12-275)
Average ADC Score (range) 4.6 basic (2.7 limited to 6.9 reasonably good)
At baseline, VDIS had 62 practices with 124
PCPs.
11

Results (continued)
Patient Characteristics (n3,819)
Average Patient Age (yrs) (range among practices) 61.2 (52-73)
Male 51
Average A1C (mean practice range) 7.2 (6.4-8.2)
This subset is 62 of the 6,124 patients
participating in VDIS at baseline. This subset
did not differ significantly from the group as a
whole, by age or by gender.
12
Conformance with the CCM Diabetes
OutcomesPractice Detail (N30 n3,819)
13
Conformance with the CCM Diabetes
OutcomesPractice Detail (N30 n3,819)
14
Conformance with the CCM Diabetes
OutcomesLinear Regression (N30 n3,819)
Regression results - Adjusting for age, the
relationship between the average ADC score and
glycemic control had a regression coefficient of
-0.11 (p0.029 95 CI -0.21 to -0.01).
15
Conclusions
  • Patients who receive care in practices that
    conform to the Chronic Care Model have better
    glycemic control.
  • This study lends support to the overall validity
    of the Chronic Care Model and its relationship to
    better outcomes for patients with diabetes.

16
References
  • Bodenheimer T, Wagner EH, Grumbach K. Improving
    primary care for patients with chronic illness.
    JAMA 2002, Oct 9 288(14)1775-9 and Part 2.
    JAMA 2992 Oct 16288(15)1909-14.
  • Bonomi AE, Wagner EH, Glasgow R, Vonkroff M.
    Assessment of chronic illness care a practical
    tool for quality improvement. Health Services
    Research. 2002 37(3)791-820.
  • MacLean CD, Littenberg B, Gagnon M, Reardon M,
    Turner PD and Jordan C. The Vermont Diabetes
    Information System (VDIS) study design and
    subject recruitment for a cluster randomized
    trial of a decision support system in a regional
    sample of primary care practices. Clinical
    Trials. 20041532-544.
  • Shojania KG, Ranji SR, Shaw LK, Charo LN, Lai JC,
    Rushakoff RJ, McDonald KM, Owens DK. Diabetes
    mellitus care. Closing the quality gap a
    critical analysis of quality improvement
    strategies, Vol 2. Technical review 9, AHRQ Pub
    no. 04-0051-2. Rockville, MD. Sept 2004.
  • The Chronic Care Model and Clinical Tools.
    www.improvingchroniccare.org.
  • The Diabetes Control and Complications Trial
    Research Group. The effect of intensive
    treatment of diabetes on the development and
    progression of long-term complications in
    insulin-dependent diabetes mellitus. N Engl J
    Med. 1993329977-986.
  • Wagner EH, Glasgow RE, Davis C, Bonomi AE,
    Provost L, McCulloch D, Carver P, Sixta C.
    Quality improvement in chronic illness care a
    collaborative approach. Jt Comm J Qual Improv
    2001 Feb 27(2)63-80.

17
How to Contact Us Study Support
  • For further information, please contact
  • Laurie.Hurowitz_at_uvm.edu
  • This study was supported by the National
    Institute of Diabetes and Digestive and Kidney
    Disease (K24DK068380 and R01DK61167)
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