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Research ArticleResearch

Is attending birth dying out?

Trends in obstetric care provision among primary care physicians in British Columbia

Lindsay Hedden, Sarah Munro, Kimberlyn M. McGrail, Michael R. Law, Ivy L. Bourgeault and Morris L. Barer
Canadian Family Physician December 2019; 65 (12) 901-909;
Lindsay Hedden
Postdoctoral Health System Impact Fellow with the Faculty of Health Sciences at Simon Fraser University and the Health Human Resources and Labour Relations Division of the British Columbia Ministry of Health.
PhD
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  • For correspondence: lindsay.hedden@sfu.ca
Sarah Munro
Assistant Professor in the Department of Obstetrics and Gynaecology at the University of British Columbia in Vancouver.
PhD
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Kimberlyn M. McGrail
Faculty member in the Centre for Health Services and Policy Research at the University of British Columbia.
PhD
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Michael R. Law
Faculty member in the Centre for Health Services and Policy Research and Associate Professor in the School of Population and Public Health at the University of British Columbia.
PhD
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Ivy L. Bourgeault
Full Professor in the Telfer School of Management at the University of Ottawa in Ontario.
PhD
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Morris L. Barer
Emeritus Professor in the School of Population and Public Health at the University of British Columbia.
PhD
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Article Figures & Data

Figures

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  • Figure 1.
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    Figure 1.

    Adjusted proportion of physicians who billed for 1 or more deliveries and any obstetric care, by study year

  • Figure 2.
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    Figure 2.

    Adjusted proportion of physicians’ billing activity that is classified as obstetric care provision, by study year

Tables

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    Table 1.

    Demographic characteristics for full study cohort (N = 6579) and bivariate results

    CHARACTERISTICMALE PHYSICIANS, N = 4110 (62.7%)FEMALE PHYSICIANS, N = 2469 (37.3%)TOTAL, N = 6579
    Mean (SD) age, y, in 2011–2012*53.6 (12.7)46.6 (11.0)51.0 (12.5)
    Age group in 2011–2012,† n (%)
      • < 35 y293 (7.1)383 (15.5)676 (10.3)
      • 35 to < 45 y761 (18.5)712 (28.8)1473 (22.4)
      • 45 to < 55 y1115 (27.1)769 (31.1)1884 (28.6)
      • 55 to < 65 y1102 (26.8)463 (18.8)1565 (23.8)
      • ≥ 65 y839 (20.4)142 (5.8)981 (14.9)
    Trained internationally,‡ %1370 (33.3)580 (23.5)1950 (29.6)
    Practice rurality in 2011–2012,§ %
      • Metropolitan1885 (45.9)1269 (51.4)3154 (47.9)
      • Urban dominated877 (21.3)496 (20.1)1373 (20.9)
      • Rural dominated557 (13.6)309 (12.5)866 (13.2)
      • Not active759 (18.5)365 (14.8)1124 (17.1)
    Compensation (averaged for 2005–2006 to 2011–2012)
      • Mean (SD) total compensation,ǁ $232 122 (146 994)148 434 (101 222)200 715 (137 780)
      • Mean (SD) alternative payments,¶ $33 486 (59 059)28 106 (50 099)31 467 (55 922)
    Attended any deliveries,# n (%)503 (12.2)458 (18.6)961 (14.6)
    Provided any prenatal or postnatal care,** n (%)1256 (30.6)1081 (43.8)2337 (35.5)
    Proportion (SD) of care related to obstetrics††1.4 (3.9)4.6 (9.8)2.7 (7.2)
    • ↵* Wilcoxon-Mann-Whitney Z = −21.1, P < .0001.

    • ↵† Embedded Image2 = 452.1, P < .0001.

    • ↵‡ Embedded Image2 = 71.7, P < .0001.

    • ↵§ Embedded Image2 = 12.7, P = .0053. Missing: 62 (0.9%)—30 (1.2%) female physicians, 32 (0.8%) male physicians.

    • ↵ǁ Wilcoxon-Mann-Whitney, Z = −23.7, P < .0001.

    • ↵¶ Wilcoxon-Mann-Whitney, Z = −3.3, P = .0006.

    • ↵# Embedded Image2 = 52.3, P < .0001.

    • ↵** Embedded Image2 = 128.0, P < .0001.

    • ↵†† Computed only for those who included any obstetric care in their practices; ANOVA (analysis of variance) F = 195.5, P < .0001. Demographic data presented were previously published in Hedden et al.42

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    Table 2.

    Multivariate models for the odds of providing obstetric care (2005–2006 to 2011–2012)

    VARIABLESMODEL
    DELIVERIES, OR (95% CI)ANY OBSTETRIC CARE, OR (95% CI)
    Female sex0.84 (0.72–0.98)*1.46 (1.27–1.69)†
    Year (continuous)0.92 (0.89–0.95)†0.92 (0.89–0.95)†
    Female sex–year interaction1.05 (1.02–1.09)‡1.02 (0.99–1.04)
    Rurality-time interaction
      • Metropolitan0.98 (0.94–1.01)1.01 (0.98–1.04)
      • Urban0.97 (0.93–1.00)0.96 (0.92–1.00)*
    Age, y
      • 35 to < 45 y0.76 (0.69–0.85)†0.78 (0.71–0.86)†
      • 45 to < 55 y0.79 (0.70–0.88)†0.76 (0.68–0.84)†
      • 55 to < 65 y0.63 (0.55–0.71)†0.68 (0.61–0.76)†
      • ≥ 65 y0.36 (0.30–0.44)†0.50 (0.44–0.58)†
    Rurality
      • Metropolitan0.29 (0.24–0.35)†0.52 (0.43–0.63)†
      • Urban0.71 (0.58–0.87)*0.84 (0.68–1.04)
    International training1.30 (1.08–1.56)*1.69 (1.39–2.05)†
    Rurality-training interaction
      • Metropolitan-international0.70 (0.55–0.89)*0.80 (0.64–0.99)*
      • Urban-international0.80 (0.63–1.02)0.87 (0.68–1.10)
    Higher proportion of alternative payments0.35 (0.30–0.41)†0.30 (0.27–0.33)†
    Higher proportion of contacts with female patients aged 18–44 y14.26 (10.78–18.87)†2.79 (2.18–3.58)†
    Higher proportion of contacts with patients with ≥ 1 major ADGs0.44 (0.73–1.20)0.34 (0.28–0.41)†
    Higher proportion of contacts with patients in the lowest income quintile0.48 (0.32–0.60)†0.67 (0.53–0.86)*
    • ADG—Aggregated Diagnostic Groups, OR—odds ratio.

    • ↵* P < .05.

    • ↵† P < .0001.

    • ↵‡ P < .001.

    • View popup
    Table 3.

    Multivariate model for the proportion of billings related to obstetric care

    VARIABLESOR (95% CI)
    Female sex1.25 (1.09–1.43)*
    Year (continuous)0.96 (0.94–0.99)*
    Female sex–year interaction1.02 (1.00–1.04)
    Rurality-time interaction
      • Metropolitan0.98 (0.95–1.00)
      • Urban0.95 (0.92–0.98)*
    Age, y
      • 35 to < 450.84 (0.78–0.91)†
      • 45 to < 550.80 (0.73–0.88)†
      • 55 to < 650.75 (0.68–0.84)†
      • ≥ 650.76 (0.66–0.87)‡
    Rurality
      • Metropolitan0.87 (0.73–1.02)
      • Urban1.11 (0.92–1.33)
    International training0.92 (0.76–1.10)
    Rurality-training interaction
      • Metropolitan-international0.88 (0.72–1.09)
      • Urban-international0.81 (0.65–1.02)
    Higher proportion of alternative payments1.43 (1.23–1.65)†
    Higher proportion of contacts with female patients aged 18–44 y1329.42 (955.18–1850.29)†
    Higher proportion of contacts with patients ≥ 1 major ADGs1.49 (1.12–1.97)*
    Higher proportion of contacts with patients in the lowest income quintile0.78 (0.56–1.11)
    • ADG—Aggregated Diagnostic Groups, OR—odds ratio.

    • ↵* P < .05

    • ↵† P < .0001.

    • ↵‡ P < .001.

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Canadian Family Physician: 65 (12)
Canadian Family Physician
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Is attending birth dying out?
Lindsay Hedden, Sarah Munro, Kimberlyn M. McGrail, Michael R. Law, Ivy L. Bourgeault, Morris L. Barer
Canadian Family Physician Dec 2019, 65 (12) 901-909;

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Lindsay Hedden, Sarah Munro, Kimberlyn M. McGrail, Michael R. Law, Ivy L. Bourgeault, Morris L. Barer
Canadian Family Physician Dec 2019, 65 (12) 901-909;
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