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CMAJ Open logoLink to CMAJ Open
. 2016 Nov 22;4(4):E679–E688. doi: 10.9778/cmajo.20160069

Ontario primary care models: a descriptive study

Logan McLeod 1, Gioia Buckley 1, Arthur Sweetman 1
PMCID: PMC5173461  PMID: 28018882

Abstract

Background:

Between 2001 and 2006, the Ontario government introduced a menu of new primary care models, with elements such as patient enrolment and minimum group sizes, and various combinations of fee-for-service, capitation, pay-for-performance and salary. From the statistical perspective of physicians, as opposed to patients, we looked at the distribution of physician characteristics, group size and patient visit patterns across models to describe primary care practice in Ontario.

Methods:

Using administrative data for fiscal year 2010/11 containing information on physician characteristics, patient rostering status, patient visits and other practice information, we described similarities and differences across primary care models.

Results:

Our sample included 11 626 family physicians. Compared with physicians in the new primary care models, physicians in fee-for-service models are much more likely to work part-time and many, particularly younger and female physicians, do not work in full-year full-scope practices. Among the new primary care models, physicians in capitated models are slightly younger, are less likely to be an international medical graduate, work in smaller physician teams and do not practice in urban areas. On average, physicians saw and rostered 1888 patients. Although there is still substantial variation within each model, fee-for-service physicians saw the fewest patients; physicians in capitated models saw somewhat more, and those in the noncapitated models saw the most patients.

Interpretation:

Practice and physician characteristics vary systematically across models. A high percentage of rostered patients see physicians outside the group with which they are rostered. Group-based primary care models may not have a large impact on group integration and continuity in the provision of primary care services.


Between 2001 and 2006, the Ontario government introduced a menu of new primary care models characterized by requirements such as patient enrolment (i.e., rostering), group-based care and physician remuneration comprised of various combinations of fee-for-service, capitation, pay-for-performance and salary. Group practice of 3 or more physicians is required in almost all new primary care models, as is the provision of after-hours services.1-3 This was a dramatic change in Ontario's primary care landscape. For example, in fiscal year 2000/01, more than 98% of family physicians were paid using fee-for-service alone.4 However, by 2010/11, only 35.2% of physicians were paid through fee-for-service, with the remainder in a new primary care model (for at least part of the year). The new models are voluntary and, barring a current entry cap of 20 physicians per month for capitation-based models, Ontario physicians can join at any time. As of March 2011, close to 10 million Ontario Health Insurance Plan (OHIP) beneficiaries were rostered.

Although research is ongoing regarding primary health care and physician payment methods, little is known about the basic characteristics of the different primary care models, such as the characteristics of physicians, number of patients by enrolment status, number of visits per patient or percentage of patients who see only their rostering physician/group. Two recent studies provide some insight; however, they either present aggregate statistics (across an 8-year period and payment models)5 or exclude a nontrivial number of nontraditional fee-for-service physicians.6 We sought to fill this gap by describing, from the statistical perspective of Ontarian physicians, differences across the most common primary care models for all physicians.

Methods

Study design and setting

We conducted a cross-sectional study of the population of family physicians in Ontario who billed OHIP, by primary care model, for fiscal year 2010/11. A single fiscal year was employed because it corresponds to the relevant period for payment for models with respect to various maximums, incentives and bonus payments. We used fiscal year 2010/11 as it was the most recent data to which we had access.

Data sources

Three administrative databases were linked: the Corporate Provider Database provides data on physicians (age, sex, country of medical school graduation, primary care model affiliation, rurality); the OHIP database lists physician claims; and the Client Agency Program Enrollment database covers rostering. All individual patient and physician identifiers were encrypted by the Ontario Ministry of Health and Long-Term Care to anonymize the data. These data are the only administrative data source for primary care use in Ontario and are frequently used in analyses due to their comprehensiveness.2,6

Participants

We use the term "physician" to refer to both general practitioners and physicians with a specialty in family medicine as listed in the Corporate Provider Database. We restricted the sample to active physicians who either billed at least Cdn $1 for 1 of the 3 most common fee codes billed (A007 [intermediate assessment], A001 [minor assessment] or A003 [general assessment]), or (ii) rostered at least 1 patient. We deleted a very small number of physicians with practice sizes of more than 10 000 and with a percentage of total billing from the 3 most common fee codes that was below 20%.

Variables

We categorized primary care models into 4 broad groups: fee-for-service, noncapitated models, capitated models or other. A brief description of each model is provided in Table 1. The fee-for-service group includes physicians providing traditional "full-service" primary care and a heterogeneous mixture of "other" fees-for-service, including physicians who practice a formal specialty in addition to family medicine, locums, physician-specialists whose practices focus on such areas as sports medicine or psychotherapy, and physicians covered by the Emergency Department Alternative Framework Agreement who are primarily paid per diems.

Table 1: Descriptions of primary care models.

Model and description Group size Payment details
Fee-for-service models
Traditional
• "Full-service" primary care billing
Solo Fees as per the Ontario Schedule of Benefits for Physician Services
Other
• Locums
• General practitioners whose practices focus on such areas as sports medicine or psychotherapy
• Emergency Department Alternative Framework Agreement (physicians are primarily paid per diems)
Solo Fees as per the Ontario Schedule of Benefits for Physician Services
Noncapitated enrolment models
Family Health Group Group
(min. 3)
Fee-for-service
Enrolment fees and premiums for enrolled patients
Incentives and bonuses
After-hours premium
Comprehensive Care Management
Solo Fee-for-service
Enrolment fees and premiums for enrolled patients
Incentives and bonuses
After-hours premiums
Rural models
• Rural and Northern Physician Group Agreement
• Group Health Centre
• Community Sponsored Agreements
• Weeneebayko Area Health Authority
Group Varies by model
Capitated enrolment models
Family Health Organizations Group
(min. 3)
Blended capitation for enrolled patients (capitation plus fee-for-service shadow-billing premium for fee codes inside the capitated basket, plus fee-for-service for codes outside it)
Access bonus for capitated services (at risk if patients see physicians outside the rostering group)
Fee-for-service for non-enrolled patients
Capped fee-for-service for core services to non-enrolled patients
Incentives and bonuses
After-hours premium
Family Health Networks Group
(min. 3)
Similar to Family Health Organizations, but the size of the capitated basket is smaller
Other
All other physicians not in one of the previously listed models

The noncapitated models include Family Health Groups, which are paid mainly fee-for-service, plus incentives and bonuses, and a small fee for voluntarily rostering patients; Comprehensive Care Management, which is similar to a Family Health Group in its payment mechanism, except it is not a group model; and physicians in the Rural and Northern Physician Group Agreement, the Group Health Centre, Community Sponsored Agreements, and the Weeneebayko Area Health Authority. Rural models tend to be distinct from the other noncapitated models because their remuneration is more complex and is often not fee-for-service (because their rural location may limit the number of patients in the practice).

The capitated models (where patient rostering is required) include Family Health Organizations, which are paid capitation blended with fee-for-service, together with incentive and bonus components, and Family Health Networks, which are similar to Family Health Organizations but with a smaller capitation component (i.e., a smaller basket of capitated services).

We classify physicians affiliated with the same primary care model all year in model-specific categories. Although physicians can be affiliated with a single model at a time, some physicians changed models during the study period. Physicians who changed between Comprehensive Care Management and Family Health Groups, or between Family Health Networks and Family Health Organizations, were separately identified. All other switchers, and all remaining physicians in a structured payment model, were classified in the "other" category. Physicians not affiliated with any primary care model all year were labelled as traditional fee-for-service. Physicians doing locums and having focused practices were identified as "other" fee-for-service.

Patients are assigned to (perhaps multiple) physicians based on having been seen or rostered. This excludes OHIP beneficiaries who were neither rostered nor saw any physician during the study period.

International medical graduates were defined as physicians who obtained their medical degrees outside of Canada and the United States.7 Three rurality categories were defined using the Rurality Index of Ontario as follows: urban (rurality index 0), semiurban (rurality index 1-39), and rural and remote (rurality index ≥ 40).8 The number of days worked was calculated based on the number of days on which a physician provided at least 1 service (either fee-for-service and shadow claims).

We identified a patient visit as all claims submitted by the same physician for the same patient on the same day. For the analysis of primary care services (Tables 2-5), we excluded laboratory services (fee codes beginning with an L), unscheduled services (fee code A888A), and emergency department services (fee codes beginning with an H). For the analysis of total services (Table 6), we decomposed total services provided into 3 categories: primary care services (all services in the Family Health Organization basket of capitated services); unscheduled visits and emergency or emergency-equivalent services; and all other nonlaboratory services provided by physicians.

Table 2: Physician characteristics by primary care model, 2010/11.

Primary care model categories No.
(col. %)
Mean age No. female
(%)
No. IMG
(%)
Mean no. of group FPs interacted with Mean days billed No. (%)
part-time FPs
No. of FPs by RIO category
(%)
Urban Semiurban Rural
Fee-for-service models
Traditional 3382
(29.1)
53.3 1059
(31)
815
(24)
0 169 782
(23)
1939
(57)
1247
(37)
196
(6)
Other
(locums and focused-practice FPs)
705
(6.1)
43.1 399
(57)
109
(15)
0 113 332
(47)
327
(46)
269
(38)
109
(15)
Subtotal
4087
(35.2)
51.5 1458
(36)
924
(23)
0 160 1114
(27)
2266
(55)
1516
(37)
305
(7)
Noncapitated enrolment models
Family Health Groups 2768
(23.8)
52.6 1066
(39)
927
(33)
59.7 237 65
(2)
1582
(57)
1119 (40) 67
(2)
Comprehensive Care Management 279
(2.4)
56.0 83
(30)
115
(41)
0.0 241 1
(0)
153
(55)
96
(34)
30
(11)
Rural models 179
(1.5)
49.9 59
(33)
22
(12)
8.8 235 5
(3)
25
(14)
22
(12)
132
(74)
Comprehensive Care Management and Family Health Groups 99
(0.9)
50.1 42
(42)
38
(38)
32.2 235 3
(3)
35
(35)
54
(55)
10
(10)
Subtotal 3325
(28.6)
52.7 1250
(38)
1102
(33)
51.2 237 74
(2)
1795
(54)
1291
(39)
239
(7)
Capitated enrolment models
Family Health Organizations 2757
(23.7)
50.9 1094
(40)
414
(15)
16.1 234 48
(2)
0
(0)
2433
(88)
324
(12)
Family Health Networks 312
(2.7)
49.2 114
(37)
36
(12)
10.4 256 3
(1)
0
(0)
101
(32)
211
(68)
Family Health Networks and Family Health Organizations 124
(1.1)
49.3 59
(48)
14
(11)
7.8 238 0
(0)
0
(0)
110
(89)
14
(11)
Subtotal 3193
(27.5)
50.6 1267
(40)
464
(15)
15.2 236 51
(2)
0
(0)
2644
(83)
549
(17)
Other 1021
(8.8)
47.7 488
(48)
305
(30)
25.1 191 140
(14)
296
(29)
594
(58)
131
(13)
Total 11 626 (100%) 51.3 4463
(38)
2795
(24)
21.0 206 1379
(12)
4357
(37)
6045
(52)
1224
(11)

Note: FP = family physician, IMG = international medical graduate, RIO = Rurality Index of Ontario.

Table 6: Percentage breakdown of total visits by service type.

Primary care model Primary care services,
%
Unscheduled or emergency services,
%
Other services,
%
Fee-for-service models
Traditional 53.9 14.2 31.9
Other 59.5 16.9 23.5
Subtotal 54.9 14.7 30.5
Non-capitated enrolment models
Family Health Groups 75.1 3.0 21.9
Comprehensive Care Management 76.4 2.0 21.5
Rural models 63.3 5.0 31.7
Comprehensive Care Management and Family Health Groups 77.0 2.6 20.4
Subtotal 74.6 3.1 22.3
Capitated enrolment models
Family Health Organizations 67.8 3.4 28.8
Family Health Networks 56.7 9.6 33.7
Family Health Networks and Family Health Organizations 64.5 4.8 30.7
Subtotal 66.6 4.1 29.3
Other 68.8 5.1 26.1
Total 64.9 7.6 27.5

Although this study is (statistically) framed from the physician's perspective, we classified patients into 5 mutually exclusive enrolment categories (from the patient's perspective). For each enrolment category, we further classified patients into 6 mutually exclusive patient visit groups based on their formal enrolment status and observed pattern of visits with all physicians. The patient classifications were then tabulated from the physician's perspective to illustrate the nature of the patient population seen by those physicians in each model.

Statistical analyses

Our descriptive analyses include the number (and percentage), mean, minimum, maximum, median and standard deviation. Because the data contain the entire physician population of Ontario, the unadjusted descriptive analyses should not be interpreted as estimates. Therefore, 95% confidence intervals are not reported. We performed analyses using Stata 14.

Ethics approval

The research was approved by the Hamilton Integrated Research Ethics Board (#11-086-C).

Results

Our final sample included 11 626 family physicians. Table 2 presents the characteristics of physicians by primary care model. The 3 most popular models (by physician headcount) were traditional fee-for-service (29.1%), Family Health Groups (23.8%) and Family Health Organizations (23.7%). Physicians' mean age was 51.3 years, 38% were female and 24% were international medical graduates. Younger physicians were in capitated models (50.6 years old), whereas older physicians were in noncapitated models (52.7 years old). There were fewer female physicians in fee-for-service (36%) than in capitated models (40%). A much lower share (15%) of physicians in capitated models were international medical graduates relative to noncapitated models (33%). The average physician billed 206 days per year, with physicians in capitated (236 d) and noncapitated (237 d) models billing more days per year than physicians in fee-for-service (160 d). The mean group size, for group practices, was by far the highest for Family Health Groups (59.7), followed by Family Health Organizations (16.1) and Family Health Networks (10.4). Most of the physicians in fee-for-service and noncapitated models were in urban areas. No physicians in capitated models were in urban areas; most were in semiurban areas. Given the heterogeneity within the rural models, it is hard to draw any strong conclusions regarding them in this study.

Table 3 presents the mean number of patients rostered or seen by a physician. Care must be taken in interpreting the total column because fee-for-service models do not roster, rostering is voluntary for the noncapitated models and rostering is a requirement (with some caveats) for capitated models. Including rostered patients who were not seen in the year, the mean practice size was 1888, with the minimum less than 10 and the maximum 18 000. Average practice size is slightly larger among capitated models (2046 patients) and much larger among noncapitated models (2528 patients). Most patients were rostered in both noncapitated (53.4%) and capitated (71.1%) models. However, the share of patients rostered but not seen is larger in capitated (21.6%) than in noncapitated (14.8%) models.

Table 3: Mean number of patients rostered, seen or both.

Primary care model Rostered only
(minimum*, maximum*, median, SD, row %)
Seen only
(minimum*, maximum*, median, SD, row %)
Rostered and seen (minimum*, maximum *, median, SD, row %) Total
(minimum*, maximum*, median, SD, row %)
Fee-for-service models
Traditional -† 1396
(< 10, 16 500, 798, 1714.2, 100)
-† -†
Other (locums and practice-focused FPs) -† 1021
(< 10, 10 500, 667, 1145.8, 100)
-† -†
Subtotal -† 1332
(< 10, 16 500, 762, 1636.4, 100)
-† -†
Noncapitated enrolment models
Family Health Groups 372
(< 10, 4500, 305, 328.7, 14.1)
1277
(< 10, 17 500, 616.5, 1652.7, 48.3)
994
(< 10, 3500, 910, 640.5, 37.6)
2643
(< 10, 18 000, 2210, 1743.8, 100)
Comprehensive Care Management 364
(< 10, 1500, 298, 295.1, 17.0)
704
(< 10, 6500, 242, 1133.0, 32.9)
1073
(< 10, 3500, 971, 614.4, 50.1)
2142
(400, 7500, 1730, 1320.7, 100)
Rural models 376
(< 10, 1500, 318, 303.5, 25.6)
450
(< 10, 2500, 341, 406.7, 30.6)
644
(< 10, 2000, 616, 380.7, 43.8)
1470
(300, 3500, 1402, 699.6, 100)
Comprehensive Care Management and Family Health Groups 436
(< 10, 1500, 358, 355, 18.6)
1117
(< 10, 4500, 694, 1117.1, 47.7)
788
(< 10, 3000, 611, 564, 33.7)
2342
(100, 5500, 2241, 1282.1, 100)
Subtotal 373
(< 10, 4500, 306, 325.5, 14.8)
1179
(< 10, 17 500, 549, 1575.6, 46.6)
976
(< 10, 3500, 890, 631.1, 38.6)
2528
(< 10, 1800, 2114, 1684.2, 100)
Capitated enrolment models
Family Health Organizations 441
(< 10, 2500, 406, 252.2, 21.2)
595
(< 10, 1000, 458, 597.2, 28.5)
1048
(< 10, 2500, 1025, 467.2, 50.3)
2085
(< 10, 12 000, 1999, 908.8, 100)
Family Health Networks 364
(< 10, 1000, 334, 199.9, 20.4)
627
(< 50, 4000, 494.5, 536.9, 35.1)
794
(< 10, 2000, 736.5, 330.9, 44.5)
1785
(< 150, 5000, 1675, 719.0, 100)
Family Health Networks and Family Health Organizations 673 (< 20, 2000, 604, 346.2, 36.3) 402
(< 50, 3500, 353, 381.1, 21.6)
785
(< 10, 2000, 734, 338.6, 42.2)
1860
(< 1000, 6500, 1707, 731.8, 100)
Subtotal 443
(< 10, 2500, 403, 257.1, 21.6)
591
(< 10, 10 000, 455, 585.8, 28.9)
1013
(< 10, 2500, 969, 459.7, 49.5)
2046
(< 10, 12 000, 1941, 890.8, 100)
Other 297
(< 10, 3500, 165, 378.7, 19.4)
723
(< 10, 7500, 365, 951.4, 47.2)
512
(< 10, 2500, 378, 493.7, 33.4)
1532
(< 10, 10 000, 1275, 1121.4, 100)
Total 254
(< 10, 4500, 178, 312.6, 13.5)
1031
(< 10, 17 500, 548.5, 1387.2, 54.6)
602
(< 10, 3500, 504, 638.6, 31.9)
1888
(< 10, 18 000, 1610.5, 1524.7, 100)

Note: FP = family physician, SD = standard deviation.

*Minimums are rounded to the closest 10, 50 or 100. Maximums are rounded down to the closest 500

†For fee-for-service physicians, the counts for "rostered", "rostered and seen", and "total" are not comparable with the other primary care models.

Figure 1 shows the distribution of physicians by practice size in increments of 500 patients. The 4 largest primary care models have a somewhat bell-shaped distribution, with most physicians having a practice size between 1500 and 2500 patients. There is a nontrivial percentage (4.7%) of physicians with practice sizes exceeding 5000, with most of these physicians affiliated with Family Health Groups.

Figure 1.

Figure 1

Percentage of physicians by number of patients per practice, selected primary care models. CCM = Comprehensive Care Management, FHG = Family Health Group, FHN = Family Health Network, FHO = Family Health Organization.

Table 4 presents the mean number of visits per patient during the study period based on each patient's rostering status. Overall, patients saw a physician 2.8 times. Across all models, rostered patients saw their physician more (2.9-3.0 visits) than nonrostered patients did (2.6 visits). Physicians in noncapitated models saw their patients more than did those in capitated models. Details regarding the average percentage of patients by enrolment category and visit group, for fee-for-service and the 4 most common primary care models, can be found in Appendix 1, available at www.cmajopen.ca/content/4/4/E679/suppl/DC1.

Table 4: Visits per patient, by patient category.

Primary care model No. of visits, mean (SD)
Rostered all year Rostered < year Not rostered Total
Fee-for-service models
Traditional NA NA 3.5 (4.3) NA
Other (locums and focused-practice FPs) NA NA 1.8 (1.8) NA
Subtotal NA NA 3.2 (4.0) NA
Noncapitated enrolment models
Family Health Groups 3.4 (1.8) 3.1 (1.8) 2.5 (1.8) 3.0 (1.5)
Comprehensive Care Management 3.9 (1.5) 3.2 (1.6) 3.0 (1.7) 3.6 (1.4)
Rural models 2.5 (1.0) 2.4 (1.2) 2.4 (2.5) 2.4 (1.0)
Comprehensive Care Management and Family Health Groups 3.4 (1.6) 3.2 (1.8) 2.1 (1.1) 2.7 (1.3)
Subtotal 3.4 (1.8) 3.0 (1.8) 2.5 (1.8) 3.0 (1.5)
Capitated enrolment models
Family Health Organizations 2.6 (1.2) 2.8 (1.4) 2.1 (1.1) 2.4 (1.0)
Family Health Networks 2.8 (1.3) 3.3 (1.6) 2.0 (1.0) 2.5 (1.0)
Family Health Networks and Family Health Organizations 2.4 (0.7) 2.7 (1.1) 2.1 (1.3) 2.2 (0.7)
Subtotal 2.6 (1.2) 2.8 (1.4) 2.1 (1.1) 2.4 (1.0)
Other 2.8 (1.0) 2.6 (1.6) 1.9 (1.3) 2.2 (1.1)
Total 3.0 (1.5) 2.9 (1.6) 2.6 (2.7) 2.8 (2.6)

Note: FP = family physician, NA = not applicable, SD = standard deviation.

Figure 2 plots the distribution of the mean number of visits per patient by physician. Appreciable variation across physicians in the mean number of times they see each patient can be seen. Between 71% and 87% of physicians in primary care models saw their patients between 2 and 5.9 times each during the study period, whereas one-third of traditional fee-for-service physicians are in this group. Traditional fee-for-service physicians were more polarized, with a very high percentage in the 1-1.9 visit category and a substantial percentage at the other end of the spectrum. Of all physicians seeing their patients 6 or more times, 82% were in the traditional fee-for-service payment model.

Figure 2.

Figure 2

Percentage of physicians by mean number of visits* per patient, selected primary care models. *Visits related to primary care or other services only (i.e., unscheduled and emergency services are excluded). CCM = Comprehensive Care Management, FFS = fee-for-service, FHG = Family Health Group, FHN = Family Health Network, FHO = Family Health Organization.

One key goal of both rostering and capitation is to foster a relationship between the patient and their rostering physician (and the rostering group, who share medical records). Table 5 compares the mean percentage of patients in a physician's practice who saw only 1 physician during the year. For the system overall, there was only a modest increase, from 25.8% to 28.7%, in "unique visit patterns" between 2000/01 and 2010/11. However, there is diversity in 2010/11 between traditional fee-for-service (14.2%) and the 4 most common models (33% to 48 %).

Table 5: Average percentage of patients in a physician's practice who saw one physician in the year, selected primary care models.

Fiscal year All FPs, % FFS, % CCM, % FHG, % FHN, % FHO*, %
2000/01 25.8
(4 100 387 patients overall)
25.4 Not applicable
(model did not exist)
56.8
2010/11 28.7
(5 264 305 patients overall)
14.2 47.7 32.9 39.5 41.8

Note: CCM = Comprehensive Care Management, FFS = fee-for-service, FHG = Family Health Group, FHN = Family Health Network, FHO = Family Health Organization, FP = family physician.

*FHOs were established in 2006. As of 2001, 2 former capitated models (Health Service Organizations and Primary Care Networks) existed, and this percentage reflects their activity. In 2006, all health service organizations and primary care networks were converted to FHOs.

Figure 3 shows the percentage of patients in a practice by the 5 rostering categories, as seen in Appendix 1, for Comprehensive Care Management, Family Health Groups, Family Health Networks and Family Health Organizations. The largest category of patients in the practice is patients rostered all year with the physician.

Figure 3.

Figure 3

Percentage of patients by patient enrolment category, selected primary care models. CCM = Comprehensive Care Management, FHG = Family Health Group, FHN = Family Health Network, FHO = Family Health Organization.

Figure 4 plots the percentage of patients in a practice by the 6 major visit groups described in Appendix 1. In the newer primary care models, there was a greater share of patients who visit only 1 physician compared with traditional fee-for-service. However, primary care models display a low percentage of patients who visit only their rostering physician or a physician in the same group. Across all primary care models, a large share of patients visit their rostering physician and a physician outside the rostering group.

Figure 4.

Figure 4

Percentage of patients by visit group, selected primary care models. CCM = Comprehensive Care Management, FHG = Family Health Group, Trad. FFS = traditional fee-for-service, FHN = Family Health Network, FHO = Family Health Organization.

Table 6 breaks down total patient visits into 3 categories. Noncapitated primary care models (Comprehensive Care Management and Family Health Groups) provided the highest percentage of primary care services, whereas fee-for-service provided the lowest. Interestingly, models with the lowest percentage of primary care visits also had smaller practice sizes.

Interpretation

Diversity exists across primary care models. Younger physicians and female physicians are slightly more likely, and international medical graduates are much less likely, to practice in a capitated model (Family Health Organization and Family Health Network). In addition, we found substantial geographic differences, with no capitated models found in urban areas. The noncapitated models (specifically Family Health Groups) have large practice sizes compared with other models. Among patients with multiple visits, primary care models have low percentages of patients visiting the same physician (or a physician within the same group) repeatedly, suggesting little within-group coverage, which is remarkable considering patient visits did not include unscheduled and emergency services.

The results suggest primary care reform in Ontario has successfully shifted physicians away from fee-for-service toward the newer primary care models. Most physicians who provide more traditional family medicine and who have a unique relationship with their patients (with respect to visit frequency and visit group) have transitioned to the newer models. Physicians who are relatively less active, have multiple specialties, are locums or have more unusual relationships with patients in regards to visit frequency have remained in the fee-for-service model. The fee-for-service model is somewhat polarized, with many physicians at one end of the spectrum - working fewer days per year, having small practices and seeing patients only once. Conversely, others see their patients more than 6 times a year. The Family Health Group and Comprehensive Care Management noncapitated models attract physicians with the largest practices.

Physicians in most primary care models have rostered 50%-70% of patients. However, most models contain a high percentage of patients who see physicians but are rostered neither with them nor with their group, which is more surprising for the capitated models than the non-capitated models (where rostering is voluntary). From the perspective of group integration and continuity of primary care, group-based models do not appear to be making a large impact. The Family Health Group model has the lowest percentage of patients rostered all year who saw their physician only, and the highest percentage of patients not rostered with a physician who saw both a group physician and a nongroup physician. Despite continuity being associated with high-quality care,9-13 recent research has emphasized how continuity is threatened by limited access to specialized or readily available care.9,14,15

Limitations

The main limitation of our study is the age of the data (2010/11). The results for more recent years may be different, given the movement of physicians across primary care models. In addition, we only focused on physician and patient characteristics across primary care models, because the administrative data do not contain information on patient health. Although we have focused on the variation in physician and patient characteristics across different models, we cannot indicate how these variations may affect other aspects of the health care system, such as referrals to specialists, diagnostic testing or prescribing patterns.

Conclusion

Ontario's new primary care models appear to have been successful both in moving many physicians away from traditional fee-for-service payment models, and in enrolling the majority of Ontario patients with a physician. However, our results also suggest group-based models may not be having a large impact on team-based coverage with respect to the provision of primary care services. There also appears to be heterogeneity across practices with respect to the number of patients seen, geographic uptake (as seen by Family Health Organizations being located outside urban locations) and some physician demographics. Further research is needed on the effects of changes in primary care on patient health.

Supplemental information

For reviewer comments and the original submission of this manuscript, please see www.cmajopen.ca/content/4/4/E679/suppl/DC1

Supplementary Material

Online Appendices

Footnotes

Funding: This manuscript was funded by the Government of Ontario and by Ontario SPOR SUPPORT Unit (OSSU), which is supported by the Canadian Institutes of Health Research and the Province of Ontario. The views expressed in the manuscript are the views of the authors and should not be taken to represent the views of OSSU nor of the Government of Ontario.

References

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Supplementary Materials

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