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Research

Relation between primary care physician supply and diabetes care and outcomes: a cross-sectional study

Tara Kiran, Richard H. Glazier, Michael A. Campitelli, Andrew Calzavara and Therese A. Stukel
February 23, 2016 4 (1) E80-E87; DOI: https://doi.org/10.9778/cmajo.20150065
Tara Kiran
Department of Family and Community Medicine (Kiran, Glazier), St. Michael's Hospital, University of Toronto; Centre for Research on Inner City Health (Kiran, Glazier), Li Ka Shing Knowledge Institute of St. Michael's Hospital; Institute for Clinical Evaluative Sciences (Campitelli, Calzavara, Stukel); Dalla Lana School of Public Health, and Institute for Health Policy, Management and Evaluation (Stukel), University of Toronto, Toronto, Ont.
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Richard H. Glazier
Department of Family and Community Medicine (Kiran, Glazier), St. Michael's Hospital, University of Toronto; Centre for Research on Inner City Health (Kiran, Glazier), Li Ka Shing Knowledge Institute of St. Michael's Hospital; Institute for Clinical Evaluative Sciences (Campitelli, Calzavara, Stukel); Dalla Lana School of Public Health, and Institute for Health Policy, Management and Evaluation (Stukel), University of Toronto, Toronto, Ont.
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Michael A. Campitelli
Department of Family and Community Medicine (Kiran, Glazier), St. Michael's Hospital, University of Toronto; Centre for Research on Inner City Health (Kiran, Glazier), Li Ka Shing Knowledge Institute of St. Michael's Hospital; Institute for Clinical Evaluative Sciences (Campitelli, Calzavara, Stukel); Dalla Lana School of Public Health, and Institute for Health Policy, Management and Evaluation (Stukel), University of Toronto, Toronto, Ont.
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Andrew Calzavara
Department of Family and Community Medicine (Kiran, Glazier), St. Michael's Hospital, University of Toronto; Centre for Research on Inner City Health (Kiran, Glazier), Li Ka Shing Knowledge Institute of St. Michael's Hospital; Institute for Clinical Evaluative Sciences (Campitelli, Calzavara, Stukel); Dalla Lana School of Public Health, and Institute for Health Policy, Management and Evaluation (Stukel), University of Toronto, Toronto, Ont.
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Therese A. Stukel
Department of Family and Community Medicine (Kiran, Glazier), St. Michael's Hospital, University of Toronto; Centre for Research on Inner City Health (Kiran, Glazier), Li Ka Shing Knowledge Institute of St. Michael's Hospital; Institute for Clinical Evaluative Sciences (Campitelli, Calzavara, Stukel); Dalla Lana School of Public Health, and Institute for Health Policy, Management and Evaluation (Stukel), University of Toronto, Toronto, Ont.
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    Figure 1

    Cohort selection for patients with diabetes included in the analysis.

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    Table 1: Baseline patient and network characteristics as of Apr. 1, 2009, stratified by rurality and primary care physician supply for study population (n = 712 681)
    CharacteristicsUrban
    primary care physician supply
    Nonurban
    primary care physician supply
    Low (n = 199 534)Medium (n = 217 955)High (n = 169 853)Low (n = 27 694)Medium (n = 22 370)High (n = 75 275)
    Network characteristics
    Primary care physician FTE per 100 000
    Median (IQR)63.00 (3.00)66.79 (3.12)72.05 (4.47)61.04 (6.64)69.03 (3.46)74.89 (8.11)
    Range59.0-64.064.2-70.370.4-82.457.2-64.164.6-69.371.5-92.5
    Primary care physician loyalty
    Median (IQR)78.02 (3.59)81.48 (13.96)80.56 (12.30)90.83 (8.40)87.62 (2.91)91.00 (6.71)
    Range71.8-95.971.5-95.661.9-90.783.4-95.279.6-89.081.3-94.7
    Endocrinologist FTE per 100 000
    Median (IQR)0.93 (0.76)1.28 (0.90)2.37 (3.32)0.00 (0.99)0.00 (0.00)0.74 (1.29)
    Range0.0-2.90.0-5.20.0-31.90.0-4.20.0-0.00.0-1.6
    General internal medicine FTE per 100 000
    Median (IQR)4.56 (3.82)6.76 (5.11)7.29 (10.48)8.32 (3.00)7.56 (3.78)5.72 (3.02)
    Range2.8-25.82.7-18.02.4-27.55.9-12.24.7-11.23.1-9.0
    Cardiologist FTE per 100 000
    Median (IQR)3.79 (3.29)3.07 (1.47)8.76 (11.09)0.00 (2.74)0.01 (2.03)3.31 (5.12)
    Range1.3-8.61.3-8.02.1-20.90.0-2.80.0-4.80.0-8.1
    No. of ophthalmologists per 100 000
    Median (IQR)2.27 (2.39)3.17 (4.41)3.62 (4.13)1.92 (1.20)2.09 (1.82)2.84 (1.23)
    Range0.5-4.00.0-9.61.1-25.01.4-3.80.0-3.00.0-8.7
    No. of optometrists per 100 000
    Median (IQR)12.40 (3.59)15.50 (2.11)14.55 (8.46)15.95 (1.29)17.15 (2.80)16.89 (7.88)
    Range7.8-21.22.0-27.40.0-20.013.9-20.214.1-25.09.9-21.8
    No. of hospital beds per 100 000
    Median (IQR)0.89 (0.32)1.10 (0.65)1.84 (1.63)1.58 (0.25)1.44 (0.41)1.70 (0.84)
    Range0.6-2.40.7-2.20.9-7.01.2-1.80.9-2.01.2-2.6
    Physician characteristics
    Patient age, yr, no. (%)
    40-65114 388 (57.3)119 187 (54.7)90 075 (53.0)13 913 (50.2)10 942 (48.9)38 132 (50.7)
    66-8579 523 (39.9)91 003 (41.8)73 327 (43.2)12 719 (45.9)10 484 (46.9)34 407 (45.7)
    > 855 623 (2.8)7 765 (3.6)6 451 (3.8)1 062 (3.8)944 (4.2)2 736 (3.6)
    Male, %105 537 (52.9)114 602 (52.6)88 836 (52.3)14 886 (53.8)12 081 (54.0)40 432 (53.7)
    Income quintile, no. (%)
    1 (lowest)44 591 (22.3)46 797 (21.5)36 927 (21.7)6 092 (22.0)4 544 (20.3)16 098 (21.4)
    245 596 (22.9)46 836 (21.5)36 539 (21.5)5 804 (21.0)4 510 (20.2)15 676 (20.8)
    342 392 (21.2)45 079 (20.7)30 174 (17.8)5 805 (21.0)4 864 (21.7)14 911 (19.8)
    438 647 (19.4)41 258 (18.9)31 468 (18.5)5 570 (20.1)4 723 (21.1)15 777 (21.0)
    5 (highest)27 795 (13.9)36 738 (16.9)33 800 (19.9)4 096 (14.8)3 689 (16.5)12 438 (16.5)
    Missing, no. (%)513 (0.3)1 247 (0.6)945 (0.6)327 (1.2)40 (0.2)375 (0.5)
    Recent OHIP registrant, no. (%)10 710 (5.4)8 320 (3.8)4 038 (2.4)341 (1.2)147 (0.7)662 (0.9)
    Diabetes duration, yr, no. (%)
    2-341 171 (20.6)46 724 (21.4)34 125 (20.1)5 317 (19.2)4 445 (19.9)14 698 (19.5)
    4-982 550 (41.4)89 042 (40.9)71 184 (41.9)11 119 (40.1)9 056 (40.5)30 871 (41.0)
    10-1441 264 (20.7)44 885 (20.6)34 567 (20.4)5 859 (21.2)4 671 (20.9)15 992 (21.2)
    ≥ 1534 549 (17.3)37 304 (17.1)29 977 (17.6)5 399 (19.5)4 198 (18.8)13 714 (18.2)
    Mental health diagnosis, no. (%)
    None146 558 (73.5)156 771 (71.9)121 071 (71.3)21 090 (76.2)17 446 (78.0)57 765 (76.7)
    Nonpsychotic50 521 (25.3)57 926 (26.6)45 756 (26.9)6 160 (22.2)4 597 (20.5)16 355 (21.7)
    Psychotic2 455 (1.2)3 258 (1.5)3 026 (1.8)444 (1.6)327 (1.5)1 155 (1.5)
    Number of ADGs*, no. (%)
    01 775 (0.9)1 942 (0.9)1 481 (0.9)201 (0.7)196 (0.9)671 (0.9)
    15 469 (2.7)7 232 (3.3)5 612 (3.3)1 066 (3.8)908 (4.1)3 134 (4.2)
    2-567 924 (34.0)77 730 (35.7)59 740 (35.2)9,942 (35.9)8 654 (38.7)29 255 (38.9)
    6-1092 061 (46.1)96 252 (44.2)74 374 (43.8)11 949 (43.1)9 343 (41.8)31 784 (42.2)
    ≥ 1132 305 (16.2)34 799 (16.0)28 646 (16.9)4,536 (16.4)3 269 (14.6)10 431 (13.9)
    RUB†, no.  (%)
    01 775 (0.9)1 942 (0.9)1 481 (0.9)201 (0.7)196 (0.9)671 (0.9)
    1824 (0.4)1 060 (0.5)756 (0.4)120 (0.4)105 (0.5)314 (0.4)
    213 277 (6.7)16 222 (7.4)12 279 (7.2)2 192 (7.9)1 951 (8.7)5 994 (8.0)
    3118 296 (59.3)124 170 (57.0)95 418 (56.2)14 732 (53.2)12 228 (54.7)41 294 (54.9)
    441 809 (21.0)45 473 (20.9)36 208 (21.3)6 024 (21.8)4 587 (20.5)15 683 (20.8)
    523 553 (11.8)29 088 (13.3)23 711 (14.0)4 425 (16.0)3 303 (14.8)11 319 (15.0)

    Note: ADG = adjusted diagnosis group, FTE = full time equivalent, IQR = inter-quartile range, OHIP = Ontario Health Insurance Plan, RUB = resources utilization band.

    *General measure of comorbidity generated by the Johns Hopkins ACG Case-Mix System. A higher number of ADGs represents higher comorbidity.

    †Measure of health care use generated by the Johns Hopkins Adjusted Clinical Group Case-Mix System. A higher number represents greater health care use.

      • View popup
      Table 2: Outcomes between Apr. 1, 2009, to Mar. 31, 2011, stratified by rurality and primary care physician supply
      OutcomePatients, no. (%)
      UrbanNonurban
      LowMediumHighLowMediumHigh
      Evidence-based testing (n = 621 692)
      Retinal eye examination130 627 (70.8)139 644 (71.7)106 120 (72.5)9 172 (77.5)11 194 (77.4)44 963 (76.8)
      Cholesterol test164 171 (89.0)170 794 (87.7)127 818 (87.4)9 947 (84.0)12 785 (88.4)50 931 (87.0)
      HbA1C test
      026 014 (14.1)29 285 (15.0)22 613 (15.5)1 833 (15.5)1 864 (12.9)8,107 (13.8)
      1-381 639 (44.2)81 517 (41.8)60 042 (41.0)4 889 (41.3)5 190 (35.9)21 180 (36.2)
      ≥ 476 852 (41.7)84 014 (43.1)63 628 (43.5)5 118 (43.2)7 404 (51.2)29 252 (50.0)
      Optimal monitoring*64 308 (34.9)70 134 (36.0)53 836 (36.8)4 352 (36.8)6 284 (43.5)25 065 (42.8)
      Hospital visits for diabetes complications† (n = 756 597)
      Hospital admissions
      0189 465 (95.0)206 006 (94.5)160 396 (94.4)25 559 (92.3)20 689 (92.5)69 976 (93.0)
      17 166 (3.6)8 507 (3.9)6 706 (4.0)1 525 (5.5)1 186 (5.3)3 829 (5.1)
      21 809 (0.9)2 142 (1.0)1 661 (1.0)362 (1.3)304 (1.4)905 (1.2)
      ≥ 31 094 (0.5)1 300 (0.6)1 090 (0.6)248 (0.9)191 (0.9)565 (0.8)
      ≥ 110 069 (5.0)11 949 (5.5)9 457 (5.6)2 135 (7.7)1 681 (7.5)5 299 (7.0)
      Emergency department visits
      0188 264 (94.4)204 141 (93.7)158 508 (93.3)24 992 (90.2)20 314 (90.8)68 559 (91.1)
      18 318 (4.2)10 105 (4.6)8 267 (4.9)1 914 (6.9)1 517 (6.8)4 798 (6.4)
      21 847 (0.9)2 325 (1.1)1 975 (1.2)471 (1.7)330 (1.5)1 175 (1.6)
      ≥ 31 105 (0.6)1 384 (0.6)1 103 (0.6)317 (1.1)209 (0.9)743 (1.0)
      ≥ 111 270 (5.6)13 814 (6.3)11 345 (6.7)2 702 (9.8)2 056 (9.2)6 716 (8.9)

      Note: HBA1c = glycated hemoglobin.

      *Optimal monitoring defined as 1 retinal eye exam, 1 cholesterol test, and 4 HBA1c tests during the 2-year study period.

      †Hospital visits for diabetes complications included visits for hyper/hypoglycemia, skin or soft-tissue infection, or cardiovascular events.

        • View popup
        Table 3: Association between primary care physician supply and optimal monitoring* (n = 610 441) and hospital visits for diabetes complications† (n = 712 681), by urban and nonurban networks
        Outcome/modelUrbanNonurban
        RR (95% CI)p valueRR (95% CI)p value
        Optimal monitoring*
        Unadjusted
        High1.06 (1.04-1.07)< 0.0011.16 (1.13-1.20)< 0.001
        Medium1.03 (1.02-1.04)< 0.0011.18 (1.14-1.23)< 0.001
        Low (reference)1.001.00
        Adjusted for patient characteristics‡
        High1.06 (1.04-1.07)< 0.0011.17 (1.14-1.21)< 0.001
        Medium1.04 (1.03-1.05)< 0.0011.19 (1.14-1.23)< 0.001
        Low (reference)1.001.00
        ≥ 1 emergency department visits
        Unadjusted
        High1.11 (0.89-1.38)0.40.96 (0.83-1.11)0.6
        Medium1.10 (0.87-1.40)0.40.94 (0.79-1.12)0.5
        Low (reference)1.001.00
        Adjusted for patient characteristics‡
        High1.05 (0.94-1.17)0.40.96 (0.85-1.08)0.5
        Medium0.99 (0.89-1.10)0.90.95 (0.80-1.11)0.5
        Low (reference)1.001.00
        One or more hospital admissions
        Unadjusted
        High1.04 (0.84-1.29)0.700.93 (0.79-1.10)0.4
        Medium1.08 (0.85-1.36)0.50.97 (0.83-1.13)0.7
        Low (reference)1.001.00
        Adjusted for patient characteristics‡
        High1.01 (0.89-1.14)0.90.91 (0.77-1.07)0.2
        Medium0.97 (0.86-1.10)0.61.09 (0.94-1.27)0.2
        Low (reference)1.001.00

        Note: CI = confidence Interval, RR = relative risk.

        *Defined as 1 retinal eye exam, 1 cholesterol test and 4 glycated hemoglobin tests during the 2-year study period.

        †Visits for hyperglycemia or hypoglycemia, skin or soft-tissue infection, or cardiovascular events.

        ‡Age, sex, income quintile, recent immigration, diabetes duration, mental health diagnosis, comorbidity and morbidity.

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        Relation between primary care physician supply and diabetes care and outcomes: a cross-sectional study
        Tara Kiran, Richard H. Glazier, Michael A. Campitelli, Andrew Calzavara, Therese A. Stukel
        Feb 2016, 4 (1) E80-E87; DOI: 10.9778/cmajo.20150065

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        Relation between primary care physician supply and diabetes care and outcomes: a cross-sectional study
        Tara Kiran, Richard H. Glazier, Michael A. Campitelli, Andrew Calzavara, Therese A. Stukel
        Feb 2016, 4 (1) E80-E87; DOI: 10.9778/cmajo.20150065
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