Table 4.

Characteristics of family physicians who did and did not report they were thinking of closing their practices in the next 5 years (N=439): Cell sizes <6 have been suppressed.

CHARACTERISTICTHINKING OF CLOSING THEIR PRACTICE IN THE NEXT 1 TO 5 YEARSNOT THINKING OF OR NOT SURE OF CLOSING THEIR PRACTICE IN THE NEXT 1 TO 5 YEARSP VALUE
Gender (n=439),* n (%)
   • Female32 (41.6)222 (61.3)
<.01
   • Male45 (58.4)140 (38.7)
Medical school graduation year (n=439)
   • Mean (SD)1980 (8.8)1998 (13.3)
<.001
   • Median (IQR)1979 (1975-1985)1999 (1987-2009)
Medical school graduation year (categorical; n=439), n (%)
   • Before 1970<6 (<7.8)<6 (<1.7)



<.001
   • 1970-197936 (46.7)30-40 (8.3-11.0)
   • 1980-198926 (33.8)72 (19.9)
   • 1990-19996 (7.8)69 (19.1)
   • 2000-2020<6 (<7.8)180 (49.7)
Practice remuneration model (n=433), n (%)
   • PEM: enhanced fee-for-service25 (32.9)76 (21.3)





.34
   • PEM: blended capitation without team28 (36.8)137 (38.4)
   • PEM: family health team17 (22.4)100 (28.0)
   • Community health centre<5 (<6.6)12 (3.4)
   • Traditional fee-for-service<5 (<6.6)13 (3.6)
   • Other<5 (<6.6)19 (5.3)
Office practice setting (n=436), n (%)
   • Group setting (2-5 physicians in clinic)29 (38.2)130 (36.1)



<.01
   • Group setting (>5 physicians in clinic)20-25 (26.3-32.9)169 (46.9)
   • Only physician in clinic22 (28.9)50 (13.9)
   • Works in multiple office settings<6 (<7.9)11 (3.1)
Provides walk-in services only (n=435), n (%)
   • Yes6 (7.9)8 (2.2)
<.05
   • No70 (92.1)351 (97.8)
Estimated panel size (n=423)
   • Mean (SD)1361 (809)1195 (927)
<.05
   • Median (IQR)1200 (887-1600)1000 (750-1500)
  • IQR—interquartile range, PEM—patient enrolment model.

  • * Gender and year of graduation information are from publicly available data from the College of Physicians and Surgeons of Ontario; other demographic variables are from respondent self-report.

  • Enhanced fee-for-service includes the family health group and comprehensive care models.

  • Blended capitation includes the family health organization and family health network models.