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Research ArticleOriginal Research

Disparities in Diabetes Care: Differences Between Rural and Urban Patients Within a Large Health System

Randy Foss, Karen Fischer, Michelle A. Lampman, Susan Laabs, Michael Halasy, Summer V. Allen, Gregory M. Garrison, Gerald Sobolik, Matthew Bernard, Jessica Sosso and Tom D. Thacher
The Annals of Family Medicine May 2023, 21 (3) 234-239; DOI: https://doi.org/10.1370/afm.2962
Randy Foss
1Department of Family Medicine, Mayo Clinic Health System, Lake City, Minnesota
MD
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  • For correspondence: foss.randy@mayo.edu
Karen Fischer
2Department of Quantitative Health Sciences, Rochester, Minnesota
MPH
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Michelle A. Lampman
3Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, Minnesota
PhD
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Susan Laabs
4Department of Family Medicine, Mayo Clinic Health System, Mankato, Minnesota
MD
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Michael Halasy
5KER unit affiliate, Spine Center, Mayo Clinic, Rochester, Minnesota
DHSc, MS, PA-C
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Summer V. Allen
6Department of Family Medicine, Mayo Clinic, Rochester, Minnesota
MD
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Gregory M. Garrison
6Department of Family Medicine, Mayo Clinic, Rochester, Minnesota
MD, MS
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Gerald Sobolik
7Primary Care Analytics, Mayo Clinic, Rochester, Minnesota
MBA
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Matthew Bernard
6Department of Family Medicine, Mayo Clinic, Rochester, Minnesota
MD
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Jessica Sosso
8Department of Family Medicine, Mayo Clinic Health System-Franciscan Healthcare, La Crosse, Wisconsin
MD, MPH
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Tom D. Thacher
6Department of Family Medicine, Mayo Clinic, Rochester, Minnesota
MD
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Tables

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    Table 1.

    Characteristics of the Study Population of Patients With Type 2 Diabetes

    CharacteristicTotal
    (N = 45,279)
    LocationP Value
    Rural
    (n = 24,637)
    Urban
    (n = 20,642)
    Age, mean (SD), y          65.7 (14.0)          65.8 (13.9)          65.6 (13.9).20a
    Female, No. (%)20,735 (45.8)11,433 (46.4)9,302 (45.1).004b
    Race, No. (%)<.001b
        White41,887 (92.5)23,195 (94.2)18,692 (90.6)
        Non-White3,369 (7.5)1,427 (5.8)1,942 (9.4)
    ACG risk score, mean (SD)c            1.1 (0.96)            1.1 (0.96)            1.1 (0.97).91a
    Insurance, No. (%)<.001b
        Commercial12,034 (26.6)6,119 (24.9)5,915 (28.7)
        Medicaid3,470 (7.7)1,961 (8.0)1,509 (7.3)
        Medicare28,069 (62.1)15,533 (63.2)12,536 (60.8)
        Other1,616 (3.6)965 (3.9)651 (3.2)
        Missing    90 (0.2)    59 (0.2)    31 (0.2)
    Number of outpatient visits, mean (SD)            3.5 (4.39)            3.2 (4.04)            3.9 (4.75)<.001a
    Visits, No. (%)
        Diabetes education7,844 (17.3)4,325 (17.6)3,519 (17.0).16b
        Nutrition2,449 (5.4)1,350 (5.5)1,099 (5.3).47b
        Endocrinology3,257 (7.2)1,347 (5.5)1,928 (9.3)<.001b
    Primary care clinician type, No. (%)<.001b
        Advanced practice provider  8,170 (18.0)  6,289 (25.5)  1,881 (9.1)
        Physician36,356 (80.3)18,192 (73.8)18,164 (88.0)
        Resident or fellow    743 (1.6)    152 (0.6)    591 (2.9)
        Other        10 (<0.1)          4 (<0.1)          6 (<0.1)
    • ACG = adjusted clinical group.

    • ↵a From Kruskal-Wallis analysis.

    • ↵b From χ2 analysis.

    • ↵c Higher score indicates greater complexity.

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    Table 2.

    Patients’ Attainment of the D5 Metric and Its Component Goals

    D5 MetricTotal, No. (%)
    (N = 45,279)
    LocationP
    Valuea
    Rural, No. (%)
    (n = 24,637)
    Urban, No. (%)
    (n = 20,642)
    Component goals met
        Antiplatelet medication use as indicated44,740 (98.8)24,337 (98.8)20,403 (98.8).56
        Blood pressure <140/90 mm Hg34,299 (75.8)18,553 (75.3)15,746 (76.3).02
        A1c level <8.0%31,364 (69.3)16,924 (68.7)14,440 (70.0).004
        LDL cholesterol level at goal or statin prescribed38,576 (85.2)20,722 (84.1)17,854 (86.5)<.001
        No tobacco use37,754 (83.4)20,316 (82.5)17,438 (84.5)<.001
    All 5 goals met18,752 (41.4)9,842 (39.9)8,910 (43.2)<.001
    • A1c = glycated hemoglobin; D5 = diabetes 5-item composite metric; LDL = low-density lipoprotein.

    • ↵a From Kruskal-Wallis analysis.

    • View popup
    Table 3.

    Multivariate Model of Characteristics Associated With Meeting the D5 Metric

    CharacteristicAdjusted Odds
    Ratio (95% CI)a
    P
    Value
    Rural vs urban0.93 (0.88-0.97).003
    Female vs male1.08 (1.03-1.12).001
    Increasing age, per 10 years1.22 (1.10-1.02)<.001
    ACG risk score <1 vs ≥11.19 (1.13-1.25)<.001
    Diabetes education visit vs none0.92 (0.87-0.97).004
    Nutrition visit vs none1.06 (0.97-1.16).17
    Endocrinology visit vs none0.80 (0.73-0.86)<.001
    Increasing outpatient visits, per 1 visit1.03 (1.03-1.04)<.001
    Insurance
        Commercial (reference group)1.00…
        Medicaid0.58 (0.53-0.63)<.001
        Medicare1.17 (1.10-1.24)<.001
        Other0.97 (0.87-1.09).63
    Non-White vs White0.83 (0.77-0.90)<.001
    APP vs physicianb0.94 (0.87-1.02).12
    • ACG = adjusted clinical group; APP = advanced practice provider; D5 = diabetes 5-item composite metric.

    • Notes: Results of the generalized linear mixed model. D5 is a set of 5 treatment goals for diabetes developed by the Minnesota Community Measurement to represent the gold standard for managing diabetes.

    • ↵a An odds ratio greater than 1 indicates that the first characteristic listed is associated with higher odds of meeting the D5 metric. All characteristics shown have been adjusted for in the same model as fixed effects; site and primary care clinician type were random effects in the model.

    • ↵b Physician includes residents and fellows.

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The Annals of Family Medicine: 21 (3)
The Annals of Family Medicine: 21 (3)
Vol. 21, Issue 3
May/June 2023
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Disparities in Diabetes Care: Differences Between Rural and Urban Patients Within a Large Health System
Randy Foss, Karen Fischer, Michelle A. Lampman, Susan Laabs, Michael Halasy, Summer V. Allen, Gregory M. Garrison, Gerald Sobolik, Matthew Bernard, Jessica Sosso, Tom D. Thacher
The Annals of Family Medicine May 2023, 21 (3) 234-239; DOI: 10.1370/afm.2962

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Disparities in Diabetes Care: Differences Between Rural and Urban Patients Within a Large Health System
Randy Foss, Karen Fischer, Michelle A. Lampman, Susan Laabs, Michael Halasy, Summer V. Allen, Gregory M. Garrison, Gerald Sobolik, Matthew Bernard, Jessica Sosso, Tom D. Thacher
The Annals of Family Medicine May 2023, 21 (3) 234-239; DOI: 10.1370/afm.2962
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Subjects

  • Domains of illness & health:
    • Chronic illness
  • Person groups:
    • Older adults
    • Community / population health
  • Methods:
    • Quantitative methods
  • Other research types:
    • Health services
  • Core values of primary care:
    • Access
  • Other topics:
    • Disparities in health and health care

Keywords

  • primary care
  • diabetes control
  • rural health
  • rural health disparities
  • population health
  • health care delivery
  • health services
  • health care disparities
  • quality of care
  • health metrics
  • health services accessibility
  • vulnerable populations

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