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Research ArticleOriginal Research

A Population-Based Study Evaluating Family Physicians’ HIV Experience and Care of People Living With HIV in Ontario

Claire E. Kendall, Douglas G. Manuel, Jaime Younger, William Hogg, Richard H. Glazier and Monica Taljaard
The Annals of Family Medicine September 2015, 13 (5) 436-445; DOI: https://doi.org/10.1370/afm.1822
Claire E. Kendall
1C.T. Lamont Primary Health Care Research Centre, Bruyère Research Institute, Ottawa, Ontario, Canada
2Department of Family Medicine, University of Ottawa, Ottawa, Ontario, Canada
3Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
4Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
MD, MSc
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  • For correspondence: ckendall@uottawa.ca
Douglas G. Manuel
1C.T. Lamont Primary Health Care Research Centre, Bruyère Research Institute, Ottawa, Ontario, Canada
2Department of Family Medicine, University of Ottawa, Ottawa, Ontario, Canada
3Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
MD, MSc, FRCPC
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Jaime Younger
3Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
MSc
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William Hogg
1C.T. Lamont Primary Health Care Research Centre, Bruyère Research Institute, Ottawa, Ontario, Canada
2Department of Family Medicine, University of Ottawa, Ottawa, Ontario, Canada
MD, MSc, FRCPC, CCFP
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Richard H. Glazier
4Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
5Centre for Research on Inner City Health, Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, Ontario, Canada
6Department of Family and Community Medicine, St. Michael’s Hospital, Toronto, Ontario, Canada
7Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada
MD, MPH, CCFP, FCFP
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Monica Taljaard
3Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
8Department of Epidemiology and Community Medicine, University of Ottawa, Ottawa, Ontario, Canada
PhD
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  • Figure 1
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    Figure 1

    Flow diagram of study participants.

    CHC = community health center; HIV = human immunodeficiency virus; OHIP = Ontario Health Insurance Plan.

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    Figure 2

    Adjusted prevalence of receipt of ART among eligible patients by typology and family physician HIV experience.

    ART = antiretroviral therapy; HIV = human immunodeficiency virus.

    Notes: Percentage of patients with at least 1 ART prescription during study period, adjusted for all patient covariates and accounting for clustering by family physician. Error bars represent 95% CIs.

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    Table 1

    Characteristics of Patients Seen by Family Physicians Having Different Levels of HIV Experience

    Characteristic≤5 HIV Patients (n = 3,098)6–49 HIV Patients (n = 1,987)≥50 HIV Patients (n = 6,342)Total (N = 11,427)
    Patient characteristics
     Male sex, No. (%)2,066 (66.7)1,388 (69.9)5,786 (91.2)9,240 (80.9)
     Age, mean (SD), y45.8 (12.0)44.7 (10.6)45.0 (9.6)45.2 (10.5)
    Neighborhood income quintile, No. (%)
     Quintile 1 (lowest)938 (30.3)787 (39.6)1,827 (28.8)3,552 (31.1)
     Quintile 2680 (21.9)443 (22.3)1,222 (19.3)2,345 (20.5)
     Quintile 3508 (16.4)290 (14.6)1,061 (16.7)1,859 (16.3)
     Quintile 4484 (15.6)251 (12.6)981 (15.5)1,716 (15.0)
     Quintile 5 (highest)475 (15.3)204 (10.3)1,174 (18.5)1,853 (16.2)
     Missing13 (0.4)12 (0.6)77 (1.2)102 (0.9)
    Rurality index, No. (%)
     Major urban2,437 (78.7)1,835 (92.4)6,042 (95.3)10,314 (90.3)
     Non–major urban527 (17.0)122 (6.1)244 (3.8)893 (7.8)
     Rural114 (3.7)24 (1.2)50 (0.8)188 (1.6)
     Missing20 (0.6)6 (0.3)6 (0.1)32 (0.3)
    Immigrant status, No. (%)
     Canadian born2,493 (80.5)1,371 (69.0)5,325 (84.0)9,189 (80.4)
     Immigrant from Africa or Caribbean327 (10.6)432 (21.7)474 (7.5)1,233 (10.8)
     Immigrant from Europe or western nations55 (1.8)28 (1.4)143 (2.3)226 (2.0)
     Immigrant from other nations223 (7.2)156 (7.9)400 (6.3)779 (6.8)
    Mental health condition, No. (%)1,302 (42.0)850 (42.8)2,555 (40.3)4,707 (41.2)
    Comorbidity: ADG group, No. (%)
     High867 (28.0)502 (25.3)1,393 (22.0)2,762 (24.2)
     Medium1,142 (36.9)687 (34.6)2,159 (34.0)3,988 (34.9)
     Low1,089 (35.2)798 (40.2)2,790 (44.0)4,677 (40.9)
    Outpatient visits, mean (SD), No.14.9 (15.2)16.2 (21.6)17.3 (13.8)16.4 (15.8)
    Quality indicators, No. (%)
     Any ART prescription (n = 7,465)1,402 (70.8)1,037 (75.3)3,324 (80.9)5,763 (77.2)
     Colorectal cancer screening (n = 2,296)260 (35.9)140 (30.7)505 (45.3)905 (39.4)
     Cervical cancer screening (n = 1,946)446 (50.7)225 (41.1)268 (51.5)939 (48.3)
     Breast cancer screening (n = 513)148 (54.8)73 (57.0)54 (47.0)275 (53.6)
    Any emergency department visit1,117 (36.1)685 (34.5)1,910 (30.1)3,712 (32.5)
    Any hospital admission372 (12.0)212 (10.7)579 (9.1)1,163 (10.2)
    • ADG = aggregated diagnosis group; ART = antiretroviral therapy; HIV = human immunodeficiency virus.

    • Note: Cell sizes containing 5 or fewer patients are not reported.

    • View popup
    Table 2

    Hierarchical Logistic Regression Analysis of Receipt of ART, Cancer Screening, and Health Care Use

    VariableReceipt of ART AOR (95% CI)aColorectal Cancer Screening AOR (95% CI)aCervical Cancer Screening AOR (95% CI)aBreast Cancer Screening AOR (95% CI)aAny ED Visit AOR (95% CI)aAny Hospital Admission
    Model of care delivery
     FP-dominant comanagement2.04 (1.63–2.25)1.25 (0.88–1.76)0.77 (0.47–1.27)3.90 (1.16–13.09)1.11 (0.96–1.29)2.16 (1.75–2.67)
     Specialist-dominant comanagement2.23 (1.71–2.91)0.88 (0.59–1.31)0.72 (0.44–1.180.49 (0.13–1.79)1.11 (0.94–1.31)1.57 (1.22–2.02)
     Exclusively primary care (ref)1.00b1.00b1.001.001.001.00b
    Family physician HIV experienceb
     ≤5 HIV patients0.16 (0.12–0.21)0.85 (0.56–1.29)1.09 (0.70–1.69)2.10 (0.84–5.27)1.16 (0.98–1.37)1.17 (0.89–1.53)
     6–49 HIV patients0.20 (0.15–0.27)0.67 (0.42–1.08)0.59 (0.35–0.99)1.69 (0.58–4.91)1.12 (0.92–1.37)1.40 (1.02–1.91)
     ≥50 HIV patients (ref)1.001.001.001.001.001.00
    Interaction modelc FP HIV experience
     FP-dominant comanagementc ≤5 HIV patients6.27 (2.40–16.34)b0.98 (0.26–3.63)1.45 (0.34–6.15)0.08 (0.01–1.05)0.65 (0.33–1.29)1.24 (0.58–2.66)
     FP-dominant comanagementc 6–49 HIV patients6.33 (2.92–13.71)b1.17 (0.44–3.07)0.67 (0.18–2.51)0.09 (0.01–1.08)0.85 (0.53–1.36)0.70 (0.38–1.30)
     SP-dominant comanagementc ≤5 HIV patients5.92 (4.10–8.57)b0.76 (0.44–1.30)0.96 (0.54–1.71)0.87 (0.21–3.67)0.90 (0.72–1.14)0.87 (0.61–1.24)
     SP dominant comanagementc 6–49 HIV patients4.54 (3.01–6.86)b0.73 (0.39–1.38)1.30 (0.67–2.53)2.06 (0.41–10.36)1.01 (0.77–1.32)0.65 (0.43–0.98)
    Age, years1.01 (1.00–1.01)1.02 (1.00–1.04)b0.98 (0.97–0.99)b1.07 (1.01–1.12)b0.99 (0.98–0.99)b1.02 (1.02–1.03)b
    Sex, female0.88 (0.74–1.04)1.05 (0.79–1.39)––1.07 (0.95–1.20)0.97 (0.82–1.16)
    Neighborhood income quintile
     Quintile 1 (lowest)1.42 (1.12–1.73)0.95 (0.71–1.27)0.95 (0.66–1.36)0.45 (0.20–1.00)1.15 (1.01–1.30)1.12 (0.92–1.36)
     Quintile 21.05 (0.85–1.28)0.88 (0.64–1.21)0.98 (0.66–1.44)0.32 (0.14–0.76)1.00 (0.87–1.15)1.02 (0.83–1.27)
     Quintile 30.96 (0.81–1.25)1.15 (0.83–1.59)1.18 (0.78–1.77)0.79 (0.33–1.90)0.95 (0.82–1.10)0.96 (0.77–1.20)
     Quintile 41.09 (0.88–1.34)0.86 (0.62–1.21)1.09 (0.71–1.66)0.68 (0.27–1.76)0.90 (0.77–1.04)0.88 (0.69–1.11)
     Quintile 5 (highest) (ref)1.00b1.001.001.00d1.00b1.00
    Rurality indexd
     Non–major urban1.35 (1.04–1.69)0.95 (0.68–1.32)0.91 (0.61–1.35)0.54 (0.25–1.15)1.49 (1.28–1.73)1.41 (1.13–1.75)
     Rural1.18 (0.75–1.88)0.66 (0.34–1.30)0.70 (0.31–1.58)0.38 (0.10–1.54)1.79 (1.31–2.44)1.82 (1.22–2.70)
     Urban (ref)1.001.001.001.001.00b1.00b
    Immigrant statusb
     Immigrant from Africa or Caribbean1.58 (1.24–1.99)0.90 (0.60–1.34)1.04 (0.81–1.33)1.66 (0.90–3.09)0.77 (0.67–0.90)b0.80 (0.63–1.02)b
     Immigrant from Europe or western nations0.78 (0.50–1.24)1.69 (0.78–3.64)0.57 (0.23–1.38)0.40 (0.06–2.82)0.61 (0.44–0.85)0.67 (0.38–1.20)
     Immigrant from other country1.29 (1.00–1.68)0.97 (0.60–1.57)0.69 (0.46–1.03)0.68 (0.28–1.69)0.71 (0.59–0.84)0.66 (0.49–0.90)
     Canadian born (ref)1.00b1.001.001.001.001.00
    Mental health diagnosis0.81 (0.71–0.93)b0.71 (0.58–0.87)b0.93 (0.75–1.15)1.23 (0.77–1.99)1.37 (1.26–1.50)b1.28 (1.12–1.46)b
    Comorbidity: ADG category
     High0.69 (0.59–0.82)1.55 (1.19–2.03)1.33 (1.01–1.73)1.84 (0.97–2.48)3.31 (2.95–3.71)b3.45 (2.90–4.11)
     Medium0.88 (0.75–1.02)1.54 (1.23–1.92)1.62 (1.27–2.08)2.31 (1.27–4.21)1.59 (1.43–1.76)1.60 (1.35–1.91)
     Low (ref)1.00b1.00b1.00b1.00b1.001.00b
    • ADG = aggregated diagnosis group; AOR = adjusted odds ratio; ART = antiretroviral therapy; ED = emergency department; FP = family physician; ref = reference group.

    • ↵a Adjusted for all listed patient covariates and interaction term of model of care delivery.

    • ↵b Statistically significant (P for overall test of effect <.05).

    • ↵c Family physician experience.

    • ↵d P = .06.

    • Note: Analyses account for family physician cluster.

    • View popup
    Table 3

    Mean Quality Indicators for Each Model of Care Delivery and Family Physician Level of HIV Experience

    Model of Care Delivery and Family Physician HIV ExperienceColorectal Cancer Screening % (95% CI)Cervical Cancer Screening % (95% CI)Breast Cancer Screening % (95% CI)Any ED Visit % (95% CI)Any Hospital Admission % (95% CI)
    Exclusively primary care
     ≤5 HIV patients39 (32–47)56 (50–62)66 (56–77)33 (30–35)7 (6–9)
     6–49 HIV patients34 (25–43)41 (32–50)61 (44–79)32 (28–36)9 (7–11)
     ≥50 HIV patients43 (36–50)54 (45–63)49 (22–68)29 (27–32)6 (5–7)
    Family physician–dominant comanagement
     ≤5 HIV patients44 (14–75)59 (27–91)37 (0–90)26 (13–39)18 (7–28)
     6–49 HIV patients43 (22–63)26 (4–49)35 (0–81)31 (22–39)13 (7–19)
     ≥50 HIV patients49 (40–58)48 (36–59)79 (60–97)32 (28–35)13 (11–15)
    Specialist-dominant comanagement
     ≤5 HIV patients30 (25–35)47 (42–52)46 (35–56)33 (30–35)10 (9–11)
     6–49 HIV patients25 (19–31)39 (33–46)61 (47–76)34 (31–37)9 (7–11)
     ≥50 HIV patients40 (31–49)49 (35–57)31 (7–56)32 (28–35)10 (8–12)
    • HIV = human immunodeficiency virus; ED = emergency department.

    • Note: Analyses are adjusted for patient age, sex, income quintile, rurality, immigrant status, aggregated diagnosis group category, presence of a mental health condition, and experience category of the family physician, and account for clustering by family physician.

Additional Files

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  • The Article in Brief

    A Population-Based Study Evaluating Family Physicians' HIV Experience and Care of People Living With HIV in Ontario

    Claire Kendall , and colleagues

    Background Antiretroviral therapy (ART) for HIV infection has reduced death and disease and shifted the care needs of people living with long-term HIV. Early studies found that clinicians with more training and/or experience in HIV provided higher quality of care, but as the disease and treatments become less novel and complex, quality of HIV care between generalist and specialist physicians has become more similar. This 4-year study explores whether the HIV experience of family physicians effects the association between model of care delivery and the quality of care for people living with HIV.

    What This Study Found Family doctors who take care of more HIV-positive patients in their regular practice are more likely to follow antiretroviral therapy protocols than other family doctors. Among more than 13,000 HIV-positive patients, the majority saw family physicians exclusively for their care. Those who saw a family physician with the highest level of HIV experience were almost twice as likely to receive ART than those seeing less experienced family physicians. Cancer screening and health service use were not influenced by family physician HIV experience. The influence of family physician HIV experience appears to be mitigated by having an HIV specialist in the model of care.

    Implications

    • The authors conclude that to ensure adequate ART prescribing, care delivery models for people with HIV should include either an HIV specialist or a family physician with considerable HIV experience.
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The Annals of Family Medicine: 13 (5)
The Annals of Family Medicine: 13 (5)
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A Population-Based Study Evaluating Family Physicians’ HIV Experience and Care of People Living With HIV in Ontario
Claire E. Kendall, Douglas G. Manuel, Jaime Younger, William Hogg, Richard H. Glazier, Monica Taljaard
The Annals of Family Medicine Sep 2015, 13 (5) 436-445; DOI: 10.1370/afm.1822

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A Population-Based Study Evaluating Family Physicians’ HIV Experience and Care of People Living With HIV in Ontario
Claire E. Kendall, Douglas G. Manuel, Jaime Younger, William Hogg, Richard H. Glazier, Monica Taljaard
The Annals of Family Medicine Sep 2015, 13 (5) 436-445; DOI: 10.1370/afm.1822
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