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Research ArticleOriginal Research

Racial and Ethnic Inequities in Use of Preventive Services Among Privately Insured Adults With a Pediatric-Onset Disability

Lauren Groskaufmanis, Paul Lin, Neil Kamdar, Anam Khan, Mark D. Peterson, Michelle Meade and Elham Mahmoudi
The Annals of Family Medicine September 2022, 20 (5) 430-437; DOI: https://doi.org/10.1370/afm.2849
Lauren Groskaufmanis
1Department of Family Medicine, Michigan Medicine, University of Michigan, Ann Arbor, Michigan
MD
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Paul Lin
2Institute for Healthcare Policy and Innovation, Michigan Medicine, University of Michigan, Ann Arbor, Michigan
MS
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Neil Kamdar
2Institute for Healthcare Policy and Innovation, Michigan Medicine, University of Michigan, Ann Arbor, Michigan
3Department of Physical Medicine and Rehabilitation, Michigan Medicine, University of Michigan, Ann Arbor, Michigan
4Department of Obstetrics and Gynecology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan
5Department of Emergency Medicine, Michigan Medicine, University of Michigan, Ann Arbor, Michigan
6Department of Surgery, Michigan Medicine, University of Michigan, Ann Arbor, Michigan
7Department of Neurosurgery, Michigan Medicine, University of Michigan, Ann Arbor, Michigan
MA
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Anam Khan
8School of Public Health, University of Michigan, Ann Arbor, Michigan
MS
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Mark D. Peterson
2Institute for Healthcare Policy and Innovation, Michigan Medicine, University of Michigan, Ann Arbor, Michigan
3Department of Physical Medicine and Rehabilitation, Michigan Medicine, University of Michigan, Ann Arbor, Michigan
PhD, MS
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Michelle Meade
2Institute for Healthcare Policy and Innovation, Michigan Medicine, University of Michigan, Ann Arbor, Michigan
3Department of Physical Medicine and Rehabilitation, Michigan Medicine, University of Michigan, Ann Arbor, Michigan
PhD
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Elham Mahmoudi
1Department of Family Medicine, Michigan Medicine, University of Michigan, Ann Arbor, Michigan
2Institute for Healthcare Policy and Innovation, Michigan Medicine, University of Michigan, Ann Arbor, Michigan
PhD
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  • For correspondence: Mahmoudi@med.umich.edu
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    Figure 1.

    Unadjusted use of preventive services among privately insured White, Black, and Hispanic adults with cerebral palsy or spina bifida.

    PT = physical therapy; OT = occupational therapy.

    Note: data source is the 2007-2017 Clinformatics Data Mart (OptumInsight).

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    Table 1.

    Characteristics of White, Black, and Hispanic Adults With Cerebral Palsy/Spina Bifida

    CharacteristicTotalWhiteBlackHispanic
    Sample size, No. (%)11,635 (100.0)a  8,935 (76.8)  1,457 (12.5)  1,243 (10.7)
    Full enrollment length, y
        Mean (SD)      7.8 (3.3)          7.8 (3.3)          7.4 (3.1)          8.2 (3.6)
        Median (Q1-Q3)            7.0 (5.0-9.8)                7.0 (5.0-9.8)                6.9 (5.0-9.0)                  7.3 (5.3-10.5)
    Age, y
        Mean (SD)      45.5 (17.6)        45.6 (17.7)          46.3 (16.9)          44.1 (17.0)b
    Sex, No. (%)
        Female6,537 (56.2)4,964 (55.6)      881 (60.5)        692 (55.7)
        Male5,098 (43.8)3,971 (44.4)      576 (39.5)        551 (44.3)
    Elixhauser comorbidity score
        Mean (SD)         2.0 (2.3)        2.0 (2.2)          2.5 (2.6)b              1.8 (2.2)b
    Education, No. (%)
        < 12th Grade      74 (0.6)c    17 (0.2)c        6 (0.4)b,c          51 (4.1)b
        High school or some college9,870 (84.8)7,420 (83.0)1,383 (94.9)b      1,067 (85.8)b
        Bachelor degree or higher1,666 (14.3)  1,477 (16.5)    65 (4.5)b        124 (10.0)b
        Unknown      25 (0.2)c      21 (0.2)c      3 (0.2)c          1 (0.1)c
    Household income, $, No. (%)
        <40,000  2,722 (23.4)  1,774 (19.9)    594 (40.8)b        354 (28.5)b
        40,000-99,000  4,199 (36.1)  3,232 (36.2)    478 (32.8)b        489 (39.3)b
        ≥100,000  3,061 (26.3)  2,711 (30.3)    148 (10.2)b        202 (16.3)b
        Unknown  1,653 (14.2)  1,218 (13.6)    237 (16.3)b        198 (15.9)b
    • CP = cerebral palsy; Q1-Q3 = Quartile 1 and Quartile 3; SP = spinal bifida.

    • Note: data source is the 2007-2017 Clinformatics Data Mart (OptumInsight). Data are unadjusted and unmatched.

    • ↵a Number with each condition: CP n = 7,198; SB n = 4,437.

    • ↵b Significant (P value <0.05).

    • ↵c Less than 1%.

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    Table 2.

    Prevalence of Psychological, Cardiometabolic, and Musculoskeletal Conditions Among White, Black, and Hispanic Adults With Cerebral Palsy/Spina Bifida

    ConditionsWhite No. (%)Black No. (%)Hispanic No. (%)
    Psychological
        Adjustment disorder238 (2.66)  40 (2.75)  19 (1.53)a
        Alcohol-related disorders  91 (1.02)  20 (1.37)  10 (0.80)
        Anxiety disorders930 (10.41)148 (10.16)104 (8.37)a
        Central pain444 (4.97)  84 (5.77)  49 (3.94)
        Delirium116 (1.30)  18 (1.24)  11 (0.88)
        Impulse control disorder  36 (0.40)4 (0.27)4 (0.32)
        Insomnia321 (3.59)  49 (3.36)  51 (4.10)
        Mood disorders1,329 (14.87)193 (13.25)121 (9.73)a
        Post-traumatic stress disorder  51 (0.57)7 (0.48)7 (0.56)
        Personality disorders  31 (0.35)8 (0.55)2 (0.16)
        Substance-related disorders144 (1.61)  21 (1.44)  16 (1.29)
    Cardiometabolic
        Diabetes type II863 (9.66)241 (16.54)a161 (12.95)a
        Cardiac dysrhythmias826 (9.24)143 (9.81)110 (8.85)
        Chronic kidney disease202 (2.26)  68 (4.67)a  36 (2.90)
        Heart failure221 (2.47)  81 (5.56)a  28 (2.25)
        Hypercholesterolemia912 (10.21)179 (12.29)a114 (9.17)
        Hypertension2,515 (28.15)581 (39.88)a277 (22.28)a
        Liver disease; nonalcoholic  94 (1.05)  11 (0.75)  24 (1.93)a
        Peripheral and visceral atherosclerosis399 (4.47)  99 (6.79)a  39 (3.14)a
    Musculoskeletal
        Muscle atrophy  66 (0.74)  10 (0.69)5 (0.40)
        Myalgia537 (6.01)  80 (5.49)  59 (4.75)
        Osteoarthritis991 (11.09)195 (13.38)a106 (8.53)a
        Osteoporosis421 (4.71)  59 (4.05)  47 (3.78)
        Other connective tissue disorder2,963 (33.16)501 (34.39)308 (24.78)a
        Pathological fracture  71 (0.79)4 (0.27)a6 (0.48)
        Rheumatoid arthritis163 (1.82)  32 (2.20)  29 (2.33)
    • Note: data source is the 2007-2017 Clinformatics Data Mart (Optumlnsight).

    • ↵a Significant (P value <0.05).

    • View popup
    Table 3.

    Adjusted Predicted Racial/Ethnic Disparities in Use of Preventative Services Among White, Black, and Hispanic Adults With Cerebral Palsy/Spina Bifida

    Outcome VariablesWhite, %Hispanic, %Hispanic, OR (95% CI)White, %Black, %Black, OR (95% CI)
    Any office visit85871.14 (0.57-2.29)85851.05 0.49-2.26)
    Any PT/OT services19221.18 (0.93-1.51)21180.80 (0.58-1.10)
    Annual wellness visit30230.71 (0.53-0.96)a30180.50 (0.24-1.00)a
    Bone density examination  2  21.42 (0.92-2.21)  2  10.54 (0.31-0.95)a
    Cholesterol examination32341.06 (0.51-2.21)37280.66 (0.33-1.33)
    Diabetes examination14201.47 (1.13-1.93)16171.05 (0.72-1.53)
    • PT = physical therapy; OR = odds ratio; OT = occupational therapy.

    • Note: data source is the 2007-2017 Clinformatics Data Mart (OptumInsight). All corresponding regression results are presented in Supplemental Tables 5-17.

    • ↵a Significant (P value <0.05).

Additional Files

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  • SUPPLEMENTAL DATA IN PDF BELOW

    Supplemental Figure 1. Schematic Flow Diagram of Sample Population
    Supplemental Figure 2. Unadjusted Use of Preventive Services Among White, Black, Hispanic, and Asian Adults
    Supplemental Table 1. Diagnostic Codes for Cerebral Palsy and Spina Bifida
    Supplemental Table 2. Medical Codes for Preventative Services
    Supplemental Table 3. Diagnostic Codes for Comorbid Conditions
    Supplemental Table 4. Descriptive Characteristics of White, Black, Hispanic, and Asian Adults (18-64) with CP/SB
    Supplemental Table 5. Prevalence of Psychological, Cardiometabolic, and Musculoskeletal Conditions Among White, Black, Hispanic, and Asian Adults (18-64) With CP/SB
    Supplemental Table 6. Post Matched Characteristics of White and Hispanic People With CP/SB
    Supplemental Table 7.  Post Matched Characteristics of White and Black People With CP/SB
    Supplemental Table 8.  Regression Results for Any Office Visit Between Hispanic and White 
    Supplemental Table 9.  Regression Results for Any Office Visits Between Black and White
    Supplemental Table 10. Regression Results for Wellness Visits Between Hispanic and White
    Supplemental Table 11.  Regression Results for Wellness Visits Between Black and White 
    Supplemental Table 12. Regression Results for Cholesterol Screening Between Hispanic and White
    Supplemental Table 13. Regression Results for Cholesterol Screening Between Black and White
    Supplemental Table 14. Regression Results for Diabetes Screening Between Black and White
    Supplemental Table 16. Regression Results for PT/OT Between Hispanic and White
    Supplemental Table 17.  Regression Results for PT/OT Between Black and White
    Supplemental Table 18.  Regression Results for Bone Density Screening Between Hispanic and White
    Supplemental Table 19.  Regression Results for Bone Density Screening Between Black and White



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Racial and Ethnic Inequities in Use of Preventive Services Among Privately Insured Adults With a Pediatric-Onset Disability
Lauren Groskaufmanis, Paul Lin, Neil Kamdar, Anam Khan, Mark D. Peterson, Michelle Meade, Elham Mahmoudi
The Annals of Family Medicine Sep 2022, 20 (5) 430-437; DOI: 10.1370/afm.2849

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Racial and Ethnic Inequities in Use of Preventive Services Among Privately Insured Adults With a Pediatric-Onset Disability
Lauren Groskaufmanis, Paul Lin, Neil Kamdar, Anam Khan, Mark D. Peterson, Michelle Meade, Elham Mahmoudi
The Annals of Family Medicine Sep 2022, 20 (5) 430-437; DOI: 10.1370/afm.2849
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