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Research ArticleOriginal Research

Improving Outcomes for High-Risk Diabetics Using Information Systems

A. John Orzano, Pamela Ohman Strickland, Alfred F. Tallia, Shawna Hudson, Bijal Balasubramanian, Paul A. Nutting and Benjamin F. Crabtree
The Journal of the American Board of Family Medicine May 2007, 20 (3) 245-251; DOI: https://doi.org/10.3122/jabfm.2007.03.060185
A. John Orzano
MD, MPH
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Pamela Ohman Strickland
PhD
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Alfred F. Tallia
MD, MPH
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Shawna Hudson
PhD
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Bijal Balasubramanian
MBBS, MPH
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Paul A. Nutting
MD, MSPH
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Benjamin F. Crabtree
PhD
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  • Article
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Article Figures & Data

Tables

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    Table 1.

    Description of Dependent Variables in Diabetes Guidelines

    Components and ItemsAdherence Measures
    AssessmentAssessment
        HbA1c in the past 6 months    Acceptable: at least 3 of the items completed
        LDL in the past 12 months
        Microalbumin in the past 12 months
        BP at every visit
        Smoking status ever assessed
    TreatmentTreatment
        HbA1c ≤8% or >8% and on a hypoglycemic agent    Acceptable: all items adhered to
        LDL ≤100 or >100 and on a lipid-lowering agent
        BP ≤130/85 or >130/85 and on an antihypertensive
        Urine microalbumin >30 and on angiotensin-converting enzyme inhibitor or angiotensin-receptor blocker
    TargetTarget
        HbA1c ≤7%    Acceptable: all values achieved
        LDL ≤t00    Partial: any 2 values achieved
        BP ≤130/85
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    Table 2.

    OR, P values, and 95% CI for the effect of Clinical Information Systems Use (Measured as an Average of Clinician Usage Scores on Adherence to Diabetes Care Guidelines, Controlling for Patient- and Practice-Level Covariates)*

    ORValue of PCI for OR
    Identification of Patients
        Assessment0.79†0.2070.55, 1.14
        Treatment0.740.0980.87, 1.06
        Target (2 of 3)1.230.0071.06, 1.44
        Target (all 3)1.220.1920.91, 1.63
    Tracking Systems
        Assessment1.100.5670.80, 1.51
        Treatment1.150.3300.87, 1.51
        Target (2 of 3)1.320.0021.11, 1.59
        Target (all 3)1.280.1000.95, 1.73
    • * Patient level covariates included age, gender, whether the person had a heart condition and/or hypertension. Practice level covariates included whether the practice uses an EMR and whether the practice is a solo or group practice.

    • † For a 1-point increase in the score for “identification of patients” (on a scale of 1 to 5), the odds of appropriate assessment decrease by 21%.

    • View popup
    Table 3.

    OR and P Values Describing the Effect of Clinical Information Systems Use (Measured as an Average of Clinician Usage Scores) on Adherence to Diabetes Care Guidelines Among Patients With and Without Comorbid Conditions*

    Identification of PatientsTracking Systems
    ORValue of PORValue of P
    AssessmentHeart Condition1.08†0.7681.020.966
    Hypertension0.800.2470.970.865
    Neither0.700.1881.500.030‡
    TreatmentHeart Condition1.120.9251.270.468
    Hypertension0.620.015§1.270.095‡
    Neither0.780.3681.170.466
    Target (2 of 3)Heart Condition1.340.2921.120.481
    Hypertension1.130.2841.420.010‡
    Neither1.440.049‡1.140.274
    Target (all 3)Heart Condition2.300.029‡1.120.720
    Hypertension1.080.6511.460.027‡
    Neither1.390.2011.250.305
    • * Patient-level covariates included age and gender; practice-level covariates included whether the practice uses an EMR and whether the practice is a solo or group practice.

    • † Among patients with a heart condition, the odds of appropriate assessment according to guidelines increased by 8% with a 1-point increase (on a scale of 1 to 5) for use of patient identification systems. (Not significant, P = 0.768.)

    • ‡ Use of information system component associated with improved diabetes care.

    • § Use of information system component associated with decreased diabetes care.

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The Journal of the American Board of Family Medicine: 20 (3)
The Journal of the American Board of Family Medicine
Vol. 20, Issue 3
May-June 2007
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Improving Outcomes for High-Risk Diabetics Using Information Systems
A. John Orzano, Pamela Ohman Strickland, Alfred F. Tallia, Shawna Hudson, Bijal Balasubramanian, Paul A. Nutting, Benjamin F. Crabtree
The Journal of the American Board of Family Medicine May 2007, 20 (3) 245-251; DOI: 10.3122/jabfm.2007.03.060185

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Improving Outcomes for High-Risk Diabetics Using Information Systems
A. John Orzano, Pamela Ohman Strickland, Alfred F. Tallia, Shawna Hudson, Bijal Balasubramanian, Paul A. Nutting, Benjamin F. Crabtree
The Journal of the American Board of Family Medicine May 2007, 20 (3) 245-251; DOI: 10.3122/jabfm.2007.03.060185
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