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. 2024 Aug 22;19(8):e0307611. doi: 10.1371/journal.pone.0307611

Table 3. Descriptive analysis of those who reported that their primary care physician seemed uninformed about the care received from the specialist physician (n = 16,442).

Respondents’ Characteristics Primary care physician seemed informed about the care received from the specialist physician n (%) Standardized Mean Difference
Yes No
14,144 (85.1) 2,298 (14.9)
Sex
Female 8,332 (54.3) 1,457 (60.4) 0.13
Male 5,912 (45.7) 823 (39.6)
Age (mean, SE) 52.9 (0.22) 44.0 (0.42) 0.51
Age category
16–39 2,433 (25.1) 787 (45.5) 0.42
40–64 6,618 (42.4) 1,109 (40.8) -0.03
65–84 4,715 (29.6) 379 (12.9) -0.42
85+ 373 (1.9) 23 (0.8) -0.1
Rurality
Large urban (RIO score 0) 5,165 (43.4) 839 (44.0) 0.01
Medium urban (RIO score 1–9) 3,756 (27.8) 668 (29.6) 0.04
Small urban (RIO score 10–39) 3,530 (20.2) 543 (19.6) -0.02
Rural (RIO score 40+) 1,693 (8.6) 248 (6.8) -0.07
Self-reported education
High school 4,428 (29.2) 508 (20.2) -0.21
College or bachelor’s degree 7,864 (56.1) 1,442 (64.6) 0.18
Graduate-professional degree 1,734 (13.9) 334 (14.4) 0.02
Missing 118 (0.8) 14 (0.8)
Self-reported financial situation
Very comfortable 2,215 (15.8) 339 (14.1) -0.05
Comfortable 8,371 (60.3) 1,291 (56.9) -0.07
Tight/very tight/poor 3,177 (31.3) 622 (26.9) -0.13
Don’t know or refused 381 (2.6) 46 (2.1) -0.03
Language most often spoken at home
English or French 12,784 (86.2) 2,042 (85.0) -0.03
Other 1,360 (13.8) 256 (15.0)
Primary care physician or clinic booked the appointment or coordinated care with the specialist *
Yes 3,780 (83.3) 526 (64.5) 0.27
No 677 (15.4) 248 (34.4) -0.30
NA/I don’t know 63 (1.3) 9 (1.1) 0.11
Received conflicting information from primary care provider and specialist **
Yes 4,440 (85.9) 555 (73.9) -0.44
No 613 (12.2) 194 (22.3) 0.45
Don’t know/Refused 103 (1.9) 31 (3.8) -0.02
Self-reported waited to see a specialist
2 weeks 4,184 (30.8) 501 (24.2) -0.15
3–8 weeks 5,895 (41.2) 884 (39.6) -0.03
More than 8 weeks 4,065 (28.0) 913 (36.2) 0.18
Number of specialty types receiving care from
1 type 1,379 (11.7) 340 (17.7) 0.18
2 types 1,864 (14.1) 384 (17.9) 0.10
3 types or more 10,901 (74.2) 1,574 (64.4) -0.22
Types of primary care models ***
Solo FFS 608 (4.9) 100 (5.6) -0.03
Enhanced FFS 4,023 (33.2) 705 (34.7) 0.03
Non-team Capitation 4,283 (31.7) 665 (30.3) -0.02
Team Capitation 4,843 (29.3) 768 (28.6) -0.01
Other PEM models 387 (0.9) 60 (0.8) 0.03
Self-reported use of a walk-in clinic in the last 12 months
Yes 4,090 (32.2) 935 (45.1) 0.27
No 9,983 (67.3) 1,347 (54.1) -0.27
I don’t know/Refused 71 (0.5) 16 (0.8) 0.04
Complexity score based on CIHI Pop Grouper (mean, SE) 1.8 (0.03) 1.2 (0.04) 0.28
Total visits to any primary care physician over two years (mean, SE) 13.9 (0.17) 12.0 (0.34) 0.15
Total visits to the rostered primary care physician over two years (mean, SE) 9.7 (0.16) 7.7 (0.20) 0.22
Total visits to any specialist physicians over two years (mean, SE) 16.3 (0.18) 12.7 (0.34) 0.23

Note: Reporting raw counts, weighted proportions, and weighted means.

*Added in wave 6 and dropped in wave 15 of the survey and calculated for smaller sample size. Included only for descriptive purposes.

** Added in wave 20 of the survey and calculated for smaller sample size. Included only for descriptive purposes.

*** Solo FFS: Patients are not formally part of an enrolment model but receive care from a regular primary care physician who is paid purely fee-for-service. Enhanced Fee-for-Service includes Comprehensive Care Model and Family Health Group where physicians are paid a mix of fee-for-service along with bonuses and premiums. Non-team Capitation includes Capitation models, i.e., Family Health Organization and Family Health Network where physicians are paid a mix of capitation payment, bonuses, premiums, and fee-for-service but they are not signatory to a Family Health Team (FHT). FHTs are interdisciplinary models of care. Team Capitation: Capitation models, i.e., Family Health Organization and Family Health Network, are part of a Family Health Team (FHT). Other PEM models include smaller specialized patient enrolment models.