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Research ArticleOriginal Research

The Impact of Social and Clinical Complexity on Diabetes Control Measures

Erika K. Cottrell, Jean P. O'Malley, Katie Dambrun, Brian Park, Michelle A. Hendricks, Hongzhi Xu, Mary Charlson, Andrew Bazemore, Elizabeth Ann Shenkman, Abby Sears and Jennifer E. DeVoe
The Journal of the American Board of Family Medicine July 2020, 33 (4) 600-610; DOI: https://doi.org/10.3122/jabfm.2020.04.190367
Erika K. Cottrell
From OCHIN, Inc, Portland, OR (EKC, JPO, KD, MAH, AS); Department of Family Medicine. Oregon Health and Science University, Portland (EKC, JPO, BP, JED); University of Florida, Gainesville (HX, EAS); Cornell University School of Medicine, Ithaca, NY (MC); American Board of Family Medicine, Lexington, KY (AB).
PhD, MPP
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Jean P. O'Malley
From OCHIN, Inc, Portland, OR (EKC, JPO, KD, MAH, AS); Department of Family Medicine. Oregon Health and Science University, Portland (EKC, JPO, BP, JED); University of Florida, Gainesville (HX, EAS); Cornell University School of Medicine, Ithaca, NY (MC); American Board of Family Medicine, Lexington, KY (AB).
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Katie Dambrun
From OCHIN, Inc, Portland, OR (EKC, JPO, KD, MAH, AS); Department of Family Medicine. Oregon Health and Science University, Portland (EKC, JPO, BP, JED); University of Florida, Gainesville (HX, EAS); Cornell University School of Medicine, Ithaca, NY (MC); American Board of Family Medicine, Lexington, KY (AB).
MPH
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Brian Park
From OCHIN, Inc, Portland, OR (EKC, JPO, KD, MAH, AS); Department of Family Medicine. Oregon Health and Science University, Portland (EKC, JPO, BP, JED); University of Florida, Gainesville (HX, EAS); Cornell University School of Medicine, Ithaca, NY (MC); American Board of Family Medicine, Lexington, KY (AB).
MD, MPH
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Michelle A. Hendricks
From OCHIN, Inc, Portland, OR (EKC, JPO, KD, MAH, AS); Department of Family Medicine. Oregon Health and Science University, Portland (EKC, JPO, BP, JED); University of Florida, Gainesville (HX, EAS); Cornell University School of Medicine, Ithaca, NY (MC); American Board of Family Medicine, Lexington, KY (AB).
PhD
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Hongzhi Xu
From OCHIN, Inc, Portland, OR (EKC, JPO, KD, MAH, AS); Department of Family Medicine. Oregon Health and Science University, Portland (EKC, JPO, BP, JED); University of Florida, Gainesville (HX, EAS); Cornell University School of Medicine, Ithaca, NY (MC); American Board of Family Medicine, Lexington, KY (AB).
PhD, MPH, MS
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Mary Charlson
From OCHIN, Inc, Portland, OR (EKC, JPO, KD, MAH, AS); Department of Family Medicine. Oregon Health and Science University, Portland (EKC, JPO, BP, JED); University of Florida, Gainesville (HX, EAS); Cornell University School of Medicine, Ithaca, NY (MC); American Board of Family Medicine, Lexington, KY (AB).
MD
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Andrew Bazemore
From OCHIN, Inc, Portland, OR (EKC, JPO, KD, MAH, AS); Department of Family Medicine. Oregon Health and Science University, Portland (EKC, JPO, BP, JED); University of Florida, Gainesville (HX, EAS); Cornell University School of Medicine, Ithaca, NY (MC); American Board of Family Medicine, Lexington, KY (AB).
MD, MPH
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Elizabeth Ann Shenkman
From OCHIN, Inc, Portland, OR (EKC, JPO, KD, MAH, AS); Department of Family Medicine. Oregon Health and Science University, Portland (EKC, JPO, BP, JED); University of Florida, Gainesville (HX, EAS); Cornell University School of Medicine, Ithaca, NY (MC); American Board of Family Medicine, Lexington, KY (AB).
PhD
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Abby Sears
From OCHIN, Inc, Portland, OR (EKC, JPO, KD, MAH, AS); Department of Family Medicine. Oregon Health and Science University, Portland (EKC, JPO, BP, JED); University of Florida, Gainesville (HX, EAS); Cornell University School of Medicine, Ithaca, NY (MC); American Board of Family Medicine, Lexington, KY (AB).
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Jennifer E. DeVoe
From OCHIN, Inc, Portland, OR (EKC, JPO, KD, MAH, AS); Department of Family Medicine. Oregon Health and Science University, Portland (EKC, JPO, BP, JED); University of Florida, Gainesville (HX, EAS); Cornell University School of Medicine, Ithaca, NY (MC); American Board of Family Medicine, Lexington, KY (AB).
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Article Figures & Data

Tables

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    Table 1.

    Diabetes Cohort Description

    OCHINHCN
    Providers898114
    Patients63,9069422
    Poor glucose control (HbA1c greater than 9.0)14,021 (21.9%)2374 (25.2%)
    Female35,675 (55.8%)5385 (57.2%)
    Age
        12 to 21347 (0.5%)50 (0.5%)
        22 to 4919,831 (31.0%)2839 (30.1%)
        50 to 6430,152 (47.2%)5271 (55.9%)
        64 or older13,576 (21.2%)1262 (13.4%)
    Charlson Comorbidity Index
        less than 231,554 (49.4%)6625 (70.3%)
        2 to 321,852 (34.2%)2073 (22.0%)
        4 to 57742 (12.1%)375 (4.0%)
        6 or higher2758 (4.3%)349 (3.7%)
    Mental and Behavioral Health Diagnoses
        045,107 (70.6%)6915 (73.4%)
        116,582 (26.0%)2019 (21.4%)
        >12217 (3.5%)488 (5.2%)
    Median SDI Score (25th percentile, 75th percentile)79 (55, 92)80 (63, 91)
    • HBA1c, hemoglobin A1c; SDI, Social Deprivation Index; OCHIN, Oregon Community Health Information Network; HCN, Health Choice Network.

    • View popup
    Table 2.

    Association of Clinical and Social Complexity with Odds of Poor Glucose Control in Diabetic Patients

    Tested Diabetes Cohort
    Odds Ratio for Poor Glucose Control
    (95% CI)
    OCHIN
    N = 63,906
    HCN
    N = 9422
    Charlson Comorbidity Index: 0 to 1ReferentReferent
    Charlson Comorbidity Index: 2 to 30.99 (0.94 to 1.03)0.99 (0.88 to 1.11)
    Charlson Comorbidity Index: 4 to 51.19 (1.12 to 1.27)*1.14 (0.89 to 1.45)
    Charlson Comorbidity Index: 6+1.12 (1.01 to 1.24)*0.87 (0.67 to 1.13)
    Mental/Behavioral Health Diagnoses: 0ReferentReferent
    Mental/Behavioral Health Diagnoses: 10.91 (0.87 to 0.96)*1.09 (0.97 to 1.22)
    Mental/Behavioral Health Diagnoses: more than 10.81 (0.73 to 0.90)*0.97 (0.78 to 1.20)
    Social Deprivation Index†1.05 (1.04 to 1.06)*1.03 (1.01 to 1.06)*
    • Results of full logistic regression model of the odds of poor diabetes control, controlling for age, gender, Charlson Comorbidity Index category, number of mental and behavioral health diagnoses and Social Deprivation Index (SDI) score of the patient's census tract (OCHIN) or zip code tabulation area (HCN). SDI scores were calculated using national percentile ranks of the SDI. Diabetic patients were defined as those with at least one HbA1c measurement in 2015. Poor control was defined as HbA1c > 9 at the last test in 2015.

    • ↵* Significant at the .05 level.

    • ↵† Odds ratio for an increase of 1 unit (10 national percentile ranks) in score.

    • CI, confidence interval; OCHIN, Oregon Community Health Information Network; HCN, Health Choice Network.

    • View popup
    Table 3.

    Estimated Effect of Adjustment for Clinical and Social Complexity on Provider Quality Metrics

    Poor Glucose Control in Diabetics
    OCHINHCN
    Number of Providers898114
    Providers with improved performance assessment after adding adjustment for Charlson Index to adjustment for age and sex
    1 to 2 percentage point improvement227 (25.3%)66 (57.9%)
    2 to 5 percentage point improvement616 (68.6%)33 (28.9%)
    Greater than 5 percentage point improvement13 (1.4%)1 (0.9%)
    Providers with improved performance assessment after adding adjustment for Mental and Behavioral Health Score to adjustment for age, sex and Charlson Index
    1 to 2 percentage point improvement00
    2 to 5 percentage point improvement00
    Greater than 5 percentage point improvement00
    Difference in provider metric due to adding adjustment for SDI score to age, sex, Charlson Index and MHBH Score
    1 to 2 percentage point improvement113 (12.6%)6 (5.3%)
    2 to 5 percentage point improvement25 (2.8%)2 (1.8%)
    Greater than 5 percentage point improvement00
    Difference in provider metric due to adding adjustment to the median National SDI score to adjustment for age, sex, Charlson Index and MHBH Score
    1 to 2 percentage point improvement213 (23.7%)49 (43.0%)
    2 to 5 percentage point improvement421 (46.9%)34 (29.8%)
    Greater than 5 percentage point improvement54 (6.0%)3 (2.6%)
    • Following the CMS procedure for adjustment of Performance Metrics for panel clinical complexity, provider quality metrics were adjusted for providers with more than 20 patients with the outcome.

    • OCHIN, Oregon Community Health Information Network; HCN, Health Choice Network; MHBH, Mental/Behavioral Health Diagnoses; SDI, Social Deprivation Index.

    • View popup
    Appendix 1:

    Mental and Behavioral Health Condition Coding

    Psychosis or bipolar disorder
    ICD-9 diagnosis codes: 295, 295.0, 295.00, 295.01, 295.02, 295.03, 295.04, 295.05, 295.1, 295.1, 295.11, 295.12, 295.13, 295.14, 295.15, 295.2, 295.20, 295.21, 295.22, 295.23, 295.24, 295.25, 295.3, 295.30, 295.31, 295.32, 295.33, 295.34, 295.35, 295.4, 295.40, 295.41, 295.42, 295.43, 295.44, 295.45, 295.5, 295.50, 295.51, 295.52, 295.53, 295.54, 295.55, 295.6, 295.60, 295.61, 295.62, 295.63, 295.64, 295.65, 295.7, 295.70, 295.71, 295.72, 295.73, 295.74, 295.75, 295.8, 295.80, 295.81, 295.82, 295.83, 295.84, 295.85, 295.9, 295.90, 295.91, 295.92, 295.93, 295.94, 295.95, 296.0, 296.00, 296.01, 296.02, 296.03, 296.04, 296.05, 296.06, 296.1, 296.10, 296.11, 296.12, 296.13, 296.14, 296.15, 296.16, 296.4, 296.40, 296.41, 296.42, 296.43, 296.44, 296.45, 296.46, 296.5, 296.50, 296.51, 296.52, 296.53, 296.54, 296.55, 296.56, 296.6, 296.60, 296.61, 296.62, 296.63, 296.64, 296.65, 296.66, 296.7, 296.8, 296.80, 296.81, 296.89, 297.0, 297.1, 297.2, 297.3, 301.22, V11.0
    ICD-10 diagnosis codes: F20, F20.0, F20.1, F20.2, F20.3, F20.5, F20.8, F20.81, F20.89, F20.9, F21, F22, F23, F24, F25, F25.0, F25.1, F25.8, F25.9, F28, F29, F30, F30.1, F30.10, F30.11, F30.12, F30.13, F30.2, F30.3, F30.4, F30.8, F30.9, F31, F31.0, F31.1, F31.10, F31.11, F31.12, F31.13, F31.2, F31.3, F31.30, F31.31, F31.32, F31.4, F31.5, F31.6, F31.60, F31.61, F31.62, F31.63, F31.64, F31.7, F31.70, F31.71, F31.72, F31.73, F31.74, F31.75, F31.76, F31.77, F31.78, F31.8, F31.81, F31.89, F31.9
    Substance abuse
    ICD-9 diagnosis codes: 291, 291.0, 291.1, 291.2, 291.3, 291.4, 291.5, 291.8, 291.81, 291.82, 291.89, 291.9, 292.0, 292.1, 292.11, 292.12, 292.2, 292.8, 292.81, 292.82, 292.83, 292.84, 292.85, 292.89, 292.9, 303, 303.0, 303.00, 303.01, 303.02, 303.03, 303.9, 303.90, 303.91, 303.92, 303.93, 304, 304.0, 304.00, 304.01, 304.02, 304.03, 304.1, 304.10, 304.11, 304.12, 304.13, 304.2, 304.20, 304.21, 304.22, 304.23, 304.3, 304.30, 304.31, 304.32, 304.33, 304.4, 304.40, 304.41, 304.42, 304.43, 304.5, 304.50, 304.51, 304.52, 304.53, 304.6, 304.60, 304.61, 304.62, 304.63, 304.7, 304.70, 304.71, 304.72, 304.73, 304.8, 304.80, 304.81, 304.82, 304.83, 304.9, 304.90, 304.91, 304.92, 304.93, 305, 305.0, 305.00, 305.01, 305.02305.03, 305.1, 305.2, 305.20, 305.21, 305.22, 305.23, 305.3, 305.30, 305.31, 305.32, 305.33, 305.4, 305.40, 305.41, 305.42, 305.43, 305.5, 305.50, 305.51, 305.52, 305.53, 305.6, 305.60, 305.61, 305.62, 305.63, 305.7, 305.70, 305.71, 305.72, 305.73, 305.8, 305.80, 305.81, 305.82, 305.83, 305.9, 305.90, 305.91, 305.92, 305.93
    ICD-10 diagnosis codes: F10.2, F10.20, F10.21, F10.22, F10.220, F10.221, F10.229, F10.23, F10.230, F10.231, F10.232, F10.239, F10.24, F10.25, F10.250, F10.251, F10.259, F10.26, F10.27, F10.28, F10.280, F10.281, F10.282, F10.288, F10.29, F11.2, F11.20, F11.21, F11.22, F11.220, F11.221, F11.222, F11.229, F11.23, F11.24, F11.25, F11.250, F11.251, F11.259, F11.28, F11.281, F11.282, F11.288, F11.29, F13.2, F13.20, F13.21, F13.22, F13.220, F13.221, F13.229, F13.23, F13.230, F13.231, F13.232, F13.239, F13.24, F13.25, F13.250, F13.251, F13.259, F13.26, F13.27, F13.28, F13.280, F13.281, F13.282, F13.288, F13.29, F14.2, F14.20, F14.21, F14.22, F14.220, F14.221, F14.222, F14.229, F14.23, F14.24, F14.25, F14.250, F14.251, F14.259, F14.28, F14.280, F14.281, F14.282, F14.288, F14.29, F15.20, F18.10, F18.12, F18.120, F18.121, F18.129, F18.14, F18.15, F18.150, F18.151, F18.159, F18.17, F18.18, F18.180, F18.188, F18.19, F18.2, F18.20, F18.21, F18.22, F18.220, F18.221, F18.229, F18.24, F18.25, F18.250, F18.251, F18.259, F18.27, F18.28, F18.280, F18.288, F18.29, F19.2, F19.20, F19.21, F19.22, F19.220, F19.221, F19.222, F19.229, F19.23, F19.230, F19.231, F19.232, F19.239, F19.24, F19.25, F19.250, F19.251, F19.259, F19.26, F19.27, F19.28, F19.280, F19.281, F19.282, F19.288, F19.29
    • Patients were classified as having a history of depression, psychosis or bipolar disorders, or substance abuse based on presence of the diagnosis codes in their electronic health records. they were then classified as having 0, 1, or more than one of these three types of conditions.

    • View popup
    Appendix 2:

    Association of Clinical and Social Complexity with Glucose Control Outcomes in Diabetic Patients: Results of Stepwise Regression Models

    Tested Diabetes Cohort
    Odds Ratio for Poor Glucose Control
    (95% CI)
    OCHIN (n = 63,906)HCN (n = 9422)
    Step 1 ModelStep 2 ModelFull ModelStep 1 ModelStep 2 ModelFull Model
    Charlson Comorbidity Index: 0 to 1ReferentReferentReferentReferentReferentReferent
    Charlson Comorbidity Index: 2 to 30.96 (0.92 to 0.96)0.98 (0.94 to 1.02)0.99 (0.94 to 1.03)0.99 (0.88 to 1.15)0.99 (0.88 to 1.11)0.99 (0.88 to 1.11)
    Charlson Comorbidity Index: 4 to 51.15 (1.08 to 1.22)1.19 (1.11 to 1.26)1.19 (1.12 to 1.27)1.15 (0.90 to 1.46)1.14 (0.90 to 1.45)1.14 (0.89 to 1.45)
    Charlson Comorbidity Index: 6+1.06 (0.96 to 1.17)1.11 (1.00 to 1.23)1.12 (1.01 to 1.24)0.89 (0.69 to 1.15)0.89 (0.68 to 1.15)0.87 (0.67 to 1.13)
    Mental/Behavioral Health Conditions: 0ReferentReferentReferentReferent
    Mental/Behavioral Health Conditions: 10.90 (0.86 to 0.94)0.91 (0.87 to 0.96)1.09 (0.97 to 1.22)1.09 (0.97 to 1.22)
    Mental/Behavioral Health Conditionss: more than 10.79 (0.71 to 0.88)0.81 (0.73 to 0.90)0.98 (0.79 to 1.22)0.97 (0.78 to 1.20)
    Social Deprivation Indexs (Increase of 10 percentile ranks)1.05 (1.04 to 1.06)1.03 (1.01 to 1.06)
    • Full results from stepwise logistic regression model of the odds of poor diabetes control, controlling for age, gender, Charlson Comorbidity Index category, number of mental and behavioral health diagnoses and social deprivation index (SDI) score of the patients neighborhood. SDI scores were calculated using national percentile ranks of the SDI Index. Diabetic patients were defined as those with at least one HbA1c measurement in 2015. Poor control was defined as HbA1c > 9 at the last test in 2015.

    • CI, confidence interval; OCHIN, Oregon Community Health Information Network; HCN, Health Choice Network.

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The Journal of the American Board of Family     Medicine: 33 (4)
The Journal of the American Board of Family Medicine
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July-August 2020
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The Impact of Social and Clinical Complexity on Diabetes Control Measures
Erika K. Cottrell, Jean P. O'Malley, Katie Dambrun, Brian Park, Michelle A. Hendricks, Hongzhi Xu, Mary Charlson, Andrew Bazemore, Elizabeth Ann Shenkman, Abby Sears, Jennifer E. DeVoe
The Journal of the American Board of Family Medicine Jul 2020, 33 (4) 600-610; DOI: 10.3122/jabfm.2020.04.190367

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The Impact of Social and Clinical Complexity on Diabetes Control Measures
Erika K. Cottrell, Jean P. O'Malley, Katie Dambrun, Brian Park, Michelle A. Hendricks, Hongzhi Xu, Mary Charlson, Andrew Bazemore, Elizabeth Ann Shenkman, Abby Sears, Jennifer E. DeVoe
The Journal of the American Board of Family Medicine Jul 2020, 33 (4) 600-610; DOI: 10.3122/jabfm.2020.04.190367
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