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Research ArticleOriginal Research

Diabetes Care Quality Is Highly Correlated With Patient Panel Characteristics

Steffani R. Bailey, Jean P. O'Malley, Rachel Gold, John Heintzman, Sonja Likumahuwa and Jennifer E. DeVoe
The Journal of the American Board of Family Medicine November 2013, 26 (6) 669-679; DOI: https://doi.org/10.3122/jabfm.2013.06.130018
Steffani R. Bailey
From the Department of Family Medicine (SRB, JH, SL, JED) and the Department of Public Health and Preventive Medicine (JPO), Oregon Health & Science University, Portland; OCHIN, Inc., Portland, OR (JED, RG); and the Kaiser Permanente Northwest Center for Health Research, Portland, OR (RG).
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Jean P. O'Malley
From the Department of Family Medicine (SRB, JH, SL, JED) and the Department of Public Health and Preventive Medicine (JPO), Oregon Health & Science University, Portland; OCHIN, Inc., Portland, OR (JED, RG); and the Kaiser Permanente Northwest Center for Health Research, Portland, OR (RG).
MPH
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Rachel Gold
From the Department of Family Medicine (SRB, JH, SL, JED) and the Department of Public Health and Preventive Medicine (JPO), Oregon Health & Science University, Portland; OCHIN, Inc., Portland, OR (JED, RG); and the Kaiser Permanente Northwest Center for Health Research, Portland, OR (RG).
PhD, MPH
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John Heintzman
From the Department of Family Medicine (SRB, JH, SL, JED) and the Department of Public Health and Preventive Medicine (JPO), Oregon Health & Science University, Portland; OCHIN, Inc., Portland, OR (JED, RG); and the Kaiser Permanente Northwest Center for Health Research, Portland, OR (RG).
MD, MPH
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Sonja Likumahuwa
From the Department of Family Medicine (SRB, JH, SL, JED) and the Department of Public Health and Preventive Medicine (JPO), Oregon Health & Science University, Portland; OCHIN, Inc., Portland, OR (JED, RG); and the Kaiser Permanente Northwest Center for Health Research, Portland, OR (RG).
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Jennifer E. DeVoe
From the Department of Family Medicine (SRB, JH, SL, JED) and the Department of Public Health and Preventive Medicine (JPO), Oregon Health & Science University, Portland; OCHIN, Inc., Portland, OR (JED, RG); and the Kaiser Permanente Northwest Center for Health Research, Portland, OR (RG).
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Article Figures & Data

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  • Figure 1.
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    Figure 1.

    Variability in the percentage of patients provided diabetes-related preventive services in the full versus restricted patient panels at the clinic level. FLU, influenza vaccination; HbA1c, hemoglobin A1c monitoring; LDL, low-density lipoprotein cholesterol screening; Micro-Alb, urine microalbumin screening.

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    Figure 2.

    Proportion of variability in the percentage of patients provided diabetes-related preventive services accounted for by clinic-level patient panel characteristics. Note that the percentage variability associated with clinic patient panel characteristics was determined from the change in r2 when the variable was added to a model already containing the variables with stronger associations with delivery of the service. The variable order was determined through stepwise selection based on the addition of variables, resulting in the maximum change in r2. The proportion of clinic variability in the delivery of a service that is not explained by a model including all patient characteristics in this study is shown in gray. *P < .05. HbA1c, hemoglobin A1c monitoring; LDL, low-density lipoprotein cholesterol screening; Micro-Albumin, urine microalbumin screening.

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    Figure 3.

    Observed rates of diabetes preventive services by clinic compared with rates predicted by the percentage of each clinic's patient panel with full insurance coverage. Note that predicted values and 95% confidence intervals (CIs) were estimated from regression models of the delivery of preventive service rates on the percentage of patient panel with full insurance coverage. The model used logit-transformed rates to keep the predicted rates bounded between 0% and 100%. Graphed values are the logit transformed values (y-axis) of observed values labeled with the actual rates (percentages) to facilitate interpretation. HbA1c, hemoglobin A1c; LDL, low-density lipoprotein cholesterol.

Tables

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    Table 1. Variability in Patient Panel Characteristics
    Patient CharacteristicsPatients, % (n = 4019)Clinic Panel Summary (n = 23 clinics)
    Full Panels*Restricted Panels†
    Mean (SD)Median (Range)Mean (SD)Median (Range)
    Mean age, years (SD)55.8 (12.9)53.7 (2.9)53.9 (48.3–59.0)53.8 (3.1)53.7 (48.1–60.1)
    Minority race‡11.122.0 (19.8)16.0 (2.0–76.0)21.9 (19.6)16.0 (2.0–76.0)
    English-speaking58.860.6 (22.9)58.9 (12.6–100)61.7 (22.2)58.8 (12.6–100)
    Spanish-speaking32.133.2 (23.1)28.3 (0–87.4)32.0 (22.2)27.6 (0–87.4)
    No Insurance28.628.6 (19.0)30.0 (1.0–57.0)28.5 (18.3)30.0 (2.0–56.0)
    Continuous Insurance66.266.4 (21.1)63.0 (34.0–99.0)66.3 (20.6)64.0 (34.0–98.0)
    Income <50% of FPL29.436.9 (19.7)31.0 (10.0–87.0)29.6 (13.7)31.0 (6.0–66.3)
    • ↵* Includes all diabetic patients meeting inclusion criteria of at least 1 visit in 2006 and 2007; 425 patients were included in multiple clinic panels.

    • ↵† Each patient assigned to only one clinic denominator.

    • ↵‡ Any patient with a race other than “white.” This includes black, Asian, Native American, Pacific Islander, nonwhite, and “other race.”

    • FPL, Federal poverty level; SD, standard deviation.

    • View popup
    Table 2. Correlations Between Clinic-Level Percentages of Patients Provided Diabetes-Related Preventive Services and Clinic-Level Patient Panel Characteristics
    Clinic Patient Panel CharacteristicsCorrelation of Clinic-Level Patient Panel Characteristic with Delivery of Diabetic Preventive Services
    Full Patient Panel*Restricted Patient Panel†
    LDLFLUMicro-AlbHbA1cLDLFLUMicro-AlbHbA1c
    Mean age0.400.48‡0.140.42‡0.380.48‡0.210.37
    Minority race§0.220.150.73‡0.210.220.220.68‡0.24
    English-speaking0.11−0.150.050.080.19−0.160.050.11
    Spanish-speaking−0.110.07−0.370.03−0.160.04−0.310.02
    No insurance−0.45‡−0.61‡−0.03−0.54‡−0.44‡−0.52‡−0.11−0.48‡
    Continuous insurance0.46‡0.60‡0.040.55‡0.45‡0.53‡0.080.48‡
    Income <50% of FPL−0.010.45‡−0.170.13−0.030.41‡−0.110.10
    • Data are Spearman rank correlation coefficients.

    • ↵* This includes all diabetic patients meeting inclusion criteria of at least 1 visit in 2006 and 2007; 425 patients were included in multiple clinic panels.

    • ↵† Each patient assigned to only one clinic denominator.

    • ↵‡ P < .05.

    • ↵§ Any patient with a race other than white. This includes black, Asian, Native American, Pacific Islander, nonwhite, and “other race.”

    • FDL, Federal poverty level; FLU, influenza vaccination; HbA1c, hemoglobin A1c monitoring; LDL, low-density lipoprotein cholesterol screening; Micro-Alb, urine microalbumin screening.

    • View popup
    Table 3. Proportion of Variability in Clinic-Level Percentages of Patients Provided Diabetes-Related Preventive Services Accounted for by Clinic-Level Patient Panel Characteristics
    Clinic Patient Panel CharacteristicsFull Patient Panel*Restricted Patient Panel†
    LDLFLUMicro-AlbHbA1cLDLFLUMicro-AlbHbA1c
    Model r2‡
        Mean age0.21§0.120.010.20§0.22§0.160.020.30§
        Minority race‖0.120.060.55§0.080.120.060.51§0.02
        English-speaking0.020.100.010.010.040.060.010.02
        Spanish-speaking0.030.030.08<0.010.060.010.080.01
        No insurance0.25§0.18§<0.010.29§0.25§0.18§<0.010.25§
        Continuous insurance0.26§0.18§<0.010.31§0.25§0.18§<0.010.28§
        Income <50% of FPL0.040.150.020.060.030.150.010.08
    Change in model r2¶
        Mean age0.01<0.010.02<0.010.020.020.030.05
        Minority‖0.13§0.070.55§0.100.120.060.48§0.02
        English-speaking0.010.070.01<0.010.010.110.01<0.01
        Spanish-speaking0.010.080.090.010.010.070.050.02
        Average income <50% of FPL0.020.030.030.020.020.02<0.010.03
    • Values were estimated using regression models of the logit transformation of the percentage of the patient panel receiving services.

    • ↵* Includes all diabetic patients meeting inclusion criteria of at least 1 visit in 2006 and 2007; 425 patients were included in multiple clinic panels.

    • ↵† Each patient was assigned to only one clinic denominator.

    • ↵‡ Proportion of variability accounted for by clinic-level patient panel characteristics (unadjusted).

    • ↵§ P < .05.

    • ↵‖ Any patient with a race other than “white.” This includes black, Asian, Native American, Pacific Islander, nonwhite, and “other race.”

    • ↵¶ The difference between the r2 of a model containing the listed patient characteristic and the percentage of patients with continuous insurance and the r2 of a model containing only the percentage of patients with continuous coverage. Changes in r2 were not reported for the percentage of patients with no insurance because of the high correlation of the measure with the percentage of patients continuously insured.

    • FPL, Federal poverty level; FLU, influenza vaccination; HbA1c, hemoglobin A1c monitoring; LDL, low-density lipoprotein cholesterol screening; Micro-Alb, urine microalbumin screening.

    • View popup
    Appendix Table 1. Dependent Variable: Logit Transformed Percentage of Patients With Low-Density Lipoprotein Screening
    Variables in ModelDFParameter EstimateStandard Errort ValuePr > tSquared Semipartial Correction, Type IModel r2Model Pr > t
    Intercept1−2.108700.93713−2.250.0353—0.25990.0130
    Patients with full coverage (%)10.036580.013472.720.01300.2599
    Intercept1−5.970237.56967−0.790.4395—0.26950.0433
    Patients with full coverage (%)10.027680.022081.250.22440.25987
    Mean age10.082960.161340.510.61270.00966
    Intercept1−2.814690.93099−3.020.0067—0.39440.0066
    Patients with full coverage (%)10.037960.012513.040.00650.25987
    Minority (%)10.027990.013282.110.04790.13451
    Intercept1−2.389411.16285−2.050.0532—0.26650.0451
    Patients with full coverage (%)10.035840.013852.590.01760.25987
    English speakers10.006090.014360.420.67610.00659
    Intercept1−1.863001.14844−1.620.1204—0.26540.0458
    Patients with full coverage (%)10.035370.014112.510.02090.25987
    Spanish speakers1−0.004970.01286−0.390.70300.00549
    Intercept1−3.0319511.25567−0.270.79040.26010.0492.
    Patients with full coverage (%)10.045960.114750.400.69300.25987
    Patients with no coverage (%)10.010490.127470.080.93520.00025072
    Intercept1−2.133050.94599−2.250.0355—
    Patients with full coverage (%)10.045130.017342.600.01700.259870.28250.0362
    Patients at <50% of the FPL (%)1−0.014740.01858−0.790.43670.02260
    • FPL, Federal poverty level; DF, degrees of freedom; Pr, probability.

    • View popup
    Appendix Table 2. Dependent Variable: Logit Transformed Proportion of Patients With Influenza Immunizations
    Variables in ModelDFParameter EstimateStandard Errort ValuePr > tSquared Semipartial Correction Type IModel r2Model Pr > t
    Intercept1−1.489870.55458−2.690.0138—0.17590.0463
    Patients with full coverage (%)10.016880.007972.120.04630.1759
    Intercept1−1.906874.50817−0.420.6768—0.17630.1438
    Patients with full coverage (%)10.015920.013151.210.24020.17593
    Mean age10.008960.096090.090.92660.00035809
    Intercept1−1.782150.58135−3.070.0061—0.24920.0569
    Patients with full coverage (%)10.017450.007812.230.03700.17593
    Minority (%)10.011590.008291.400.17760.07330
    Intercept1−0.776080.63184−1.230.2336—0.31150.0239
    Patients with full coverage (%)10.018760.007532.490.02160.17593
    English speakers1−0.015480.00780−1.980.06110.13554
    Intercept1−2.006230.64945−3.090.0058—0.25310.0540
    Patients with full coverage (%)10.019420.007982.440.02440.17593
    Spanish speakers (%)10.010450.007271.440.16610.07714
    Intercept11.407696.630270.210.8340—0.18380.1312
    Patients with full coverage (%)1−0.012550.06759−0.190.85460.17593
    Patients with no coverage (%)1−0.032940.07509−0.440.66560.00785
    Intercept1−1.475000.55926−2.640.0158—0.15110.0668
    Patients with full coverage (%)10.011660.010251.140.26870.17593
    Patients <50% of the FPL10.009000.010980.820.42220.02677
    • FPL, Federal poverty level; DF, degrees of freedom; Pr, probability.

    • View popup
    Appendix Table 3. Dependent Variable: Logit Transformed Proportion of Patients With Microalbumin Screening
    Variables in ModelDFParameter EstimateStandard Errort ValuePr > tSquared Semipartial Correction Type IModel r2Model Pr > t
    Intercept1−0.800680.85494−0.940.3596—0.00020.9460
    Patients with full coverage (%)1−0.0008420.01229−0.070.94600.0002
    Intercept1−5.551836.86835−0.810.4284—0.02400.7847
    Patients with full coverage (%)1−0.011790.02004−0.590.56270.00022384
    Mean age10.102080.146390.700.49360.02373
    Intercept1−1.921820.62939−3.050.0063—0.55080.0003
    Patients with full coverage (%)10.001340.008450.160.87560.00022384
    Minority (%)10.044460.008984.95<0.00010.55054
    Intercept1−1.083791.05981−1.020.3187—0.01110.8943
    Patients with full coverage (%)1−0.001590.01263−0.130.90110.00022384
    English speakers (%)10.006140.013090.470.64400.01088
    Intercept1−0.019701.00313−0.020.9845—0.09030.3881
    Patients with full coverage (%)1−0.004690.01232−0.380.70760.00022384
    Spanish speakers (%)1−0.015810.01123−1.410.17470.09009
    Intercept14.8316310.192240.470.6406—0.01540.8565.
    Patients with full coverage (%)1−0.058050.10391−0.560.58260.00022384
    Patients with no coverage (%)1−0.064020.11543−0.550.58530.01514
    Intercept1−0.821510.86467−0.950.35340.02710.7601
    Patients with full coverage (%)10.006470.015850.410.68750.00022384
    Patients at <50% of the FPL1−0.012610.01698−0.740.46630.02684
    • FPL, Federal poverty level; DF, degrees of freedom; Pr, probability.

    • View popup
    Appendix Table 4. Dependent Variable: Logit Transformed Proportion Patients with hemoglobin A1c (HbA1c) Screening
    Variables in ModelDFParameter EstimateStandard Errort ValuePr > tSquared Semipartial Correction Type IModel r2Model Pr > t
    Intercept1−1.023840.82457−1.240.2280—0.31420.0054
    Patients with full coverage (%)10.036770.011853.100.00540.3142
    Intercept1−1.243856.70415−0.190.8547—0.31420.0230
    Patients with full coverage (%)10.036260.019561.850.07860.31415
    Mean age10.004730.142890.030.97390.00003752
    Intercept1−1.584130.83595−1.900.0726—0.41560.0046
    Patients with full coverage (%)10.037860.011233.370.00300.31415
    Minority (%)10.022220.011931.860.07720.10140
    Intercept1−1.176501.02601−1.150.2650—0.31650.0223
    Patients with full coverage (%)10.036360.012222.970.00750.31415
    English speakers (%)10.003310.012670.260.79650.00233
    Intercept1−1.350431.00564−1.340.1944—0.32580.0194
    Patients with full coverage (%)10.038370.012353.110.00560.31415
    Spanish speakers (%)10.006610.011260.590.56370.01162
    Intercept1−8.849319.74844−0.910.3748—0.33570.0167
    Patients with full coverage (%)10.116250.099381.170.25580.31415
    Patients with no coverage (%)10.088950.110400.810.42990.02156
    Intercept1−1.043390.83456−1.250.2256—0.33160.0178
    Patients with full coverage (%)10.043630.015302.850.00990.31415
    Patients at <50% of the FPL (%)1−0.011840.01639−0.720.47840.01744
    • FPL, Federal poverty level; DF, degrees of freedom; Pr, probability.

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The Journal of the American Board of Family     Medicine: 26 (6)
The Journal of the American Board of Family Medicine
Vol. 26, Issue 6
November-December 2013
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Diabetes Care Quality Is Highly Correlated With Patient Panel Characteristics
Steffani R. Bailey, Jean P. O'Malley, Rachel Gold, John Heintzman, Sonja Likumahuwa, Jennifer E. DeVoe
The Journal of the American Board of Family Medicine Nov 2013, 26 (6) 669-679; DOI: 10.3122/jabfm.2013.06.130018

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Diabetes Care Quality Is Highly Correlated With Patient Panel Characteristics
Steffani R. Bailey, Jean P. O'Malley, Rachel Gold, John Heintzman, Sonja Likumahuwa, Jennifer E. DeVoe
The Journal of the American Board of Family Medicine Nov 2013, 26 (6) 669-679; DOI: 10.3122/jabfm.2013.06.130018
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