A Statistical Anatomy of Ontario Family Physicians Practices Logan McLeod, Gioia Buckley, Arthur Sweetman Abstract (updated January 25, 2016)

Similar documents
Changes to Managed Entry

Primary Care Physician Groups in Ontario.

New Graduate Entry Program (NGEP) Updated

Comparison of. PRIMARY CARE MODELS IN ONTARIO by Demographics, Case Mix and Emergency Department Use, 2008/09 to 2009/10

Date Issued: September 30, 2014 Bulletin #: Exemption Criteria for Enhanced After-Hours Requirement

Periodic Health Examinations: A Rapid Economic Analysis

2012 Physician Services Agreement Primary Care Changes

Physician Response to Pay-for-performance Evidence from a Natural Experiment

MEDICARE ENROLLMENT, HEALTH STATUS, SERVICE USE AND PAYMENT DATA FOR AMERICAN INDIANS & ALASKA NATIVES

Hospitals Voice Their Opinions: Core Recommendations for the 2012 Physician Services Agreement. November 2011

Nursing Practice In Rural and Remote Newfoundland and Labrador: An Analysis of CIHI s Nursing Database

To optimize our central intake and referral process please include ALL required information outlined in the checklist:

Physician Locum FAQs and Guidelines

Nursing Practice In Rural and Remote Nova Scotia: An Analysis of CIHI s Nursing Database

Indicator description

Sub-region Geography Data Analysis

Sub-region Geography Data Analysis

About the Data: Adult Health and Disease - Chronic Illness 2016/17, 2014/15 (archived) Last Updated: August 29, 2018

STANDING COMMITTEE ON PUBLIC ACCOUNTS

Nursing Practice In Rural and Remote Ontario: An Analysis of CIHI s Nursing Database

MINISTRY OF HEALTH AND LONG-TERM CARE Primary Health Care and Family Health Teams FACT SHEET

Alternative Payments and the National Physician Database (NPDB)

Deaths by care setting

Patient Care Groups: A new model of population based. primary health care. for Ontario

Nursing Practice In Rural and Remote New Brunswick: An Analysis of CIHI s Nursing Database

Improving Accountability in Primary Care

NP Patient Panel Study

Sub-region Geography Data Analysis

2016 Survey of Michigan Nurses

STRATEGIC COMMUNITY ENTREPRENEURSHIP PROJECTS (SCEP) October 23, 2013

Linkage between the Israeli Defense Forces Primary Care Physician Demographics and Usage of Secondary Medical Services and Laboratory Tests

Collaborating to better measure physician supply in Ontario: the Ontario Physician Workforce Database (OPWD)

Ministry of Health Medical Services Branch. Annual Statistical Report for saskatchewan.ca

Assessing Value in Ontario Health Links. Part 3: Measures of System Performance in Ontario s Health Links

Primary Care Measures at the Sub-Region Level

PUBLIC HEALTH PERFORMANCE INDICATORS 2013 YEAR-END RESULTS. August 2014

Minnesota s Registered Nurse Workforce

POLICY CONSIDERATIONS IN IMPLEMENTING CAPITATION FOR INTEGRATED HEALTH SYSTEMS. Executive Summary

Volunteers and Donors in Arts and Culture Organizations in Canada in 2013

Foundations: A Potential Source of Funding For Charities? Highlights

CITY OF GRANTS PASS SURVEY

s n a p s h o t Medi-Cal at a Crossroads: What Enrollees Say About the Program

Careers in Patient Care: A Look at Former Students from Nursing and other Health Programs that Focus on Patient Care

South Carolina Rural Health Research Center. Findings Brief April, 2018

Suicide Among Veterans and Other Americans Office of Suicide Prevention

16 th Annual National Report Card on Health Care

211 Yonge St. 2nd Floor Toronto, ON, M5B 1M4 ecampusontario.ca. CALL FOR PROPOSALS Digital Inclusion Research Funding

A Comparison of Models of Primary Care Delivery in Winnipeg

September YEARS. of Success in an Evolving Health-Care Environment. HealthForceOntario Marketing and Recruitment Agency

Home care clients with complex needs who received personal support service within five days

Chronic Obstructive Pulmonary Disease in Ontario

Waterloo Wellington Community Care Access Centre. Community Needs Assessment

Incentive-Based Primary Care: Cost and Utilization Analysis

Quality Improvement Plans: Primary Care Priority Indicators. January 27, :30 to 8:30am

PALLIATIVE CARE: CHARTING A COURSE MEETING OF THE PATIENT QUALITY OF LIFE COALITION FEBRUARY 18, 2015

Research Design: Other Examples. Lynda Burton, ScD Johns Hopkins University

The Advantages and Disadvantages for a Rural Family Physician Practicing Obstetrical Care

Health Professionals and Official- Language Minorities in Canada

COMPARATIVE PROGRAM ON HEALTH AND SOCIETY 2001/2 WORKING PAPER WORKING PAPER

2015 Ontario Hospitals Maternal-Child Services Report LHIN-level Indicators

Virtual Meeting Track 2: Setting the Patient Population Maternity Multi-Stakeholder Action Collaborative. May 4, :00-2:00pm ET

Analysis of 340B Disproportionate Share Hospital Services to Low- Income Patients

How Can We Create a Cost-Effective System of Primary and Community Care Built Around Interdisciplinary Teams?

2013 Competition Statistics Discovery Grants (DG) and Research Tools and Instruments (RTI) Programs

August 25, Dear Ms. Verma:

2014 Competition Statistics Discovery Grants (DG) and Research Tools and Instruments (RTI) Programs

2006 SURVEY OF ORTHOPAEDIC SURGEONS IN ONTARIO

Disparities in Primary Health Care Experiences Among Canadians With Ambulatory Care Sensitive Conditions

SEPTEMBER O NE-YEAR S URVEY SURVEY REPORT. Master of Science in Nursing Program

Minnesota s Physician Assistant Workforce, 2016

Decrease in Hospital Uncompensated Care in Michigan, 2015

Health. Business Plan to Accountability Statement

Rapid Synthesis. Examining the Effects of Value-based Physician Payment Models. 10 October 2017

Supply and Demand of Health Workers in an Economic Downturn

Original Article Nursing workforce in very remote Australia, characteristics and key issuesajr_

Your Trusted Advisor for EMR Technologies, Products and Services

Benchmarking variation in coding across hospitals in Canada: A data surveillance approach

PA Education Worldwide

Colorado Community College System ACADEMIC YEAR NEED-BASED FINANCIAL AID APPLICANT DEMOGRAPHICS BASED ON 9 MONTH EFC

programs and briefly describes North Carolina Medicaid s preliminary

Dual Eligibles : how do they utilize health and long-term care services?

Minnesota s Marriage & Family Therapist (MFT) Workforce, 2015

Determining Like Hospitals for Benchmarking Paper #2778

2010 National Physician Survey : Workload patterns of Canadian Family Physicians

Access to Health Care Services in Canada, 2003

Patient survey report 2004

The Feasibility of Using Electronic Health Records (EHRs) and Other Electronic Health Data for Research on Small Populations

TRIAGE PRACTICES AND PROCEDURES IN ONTARIO S EMERGENCY DEPARTMENTS A REPORT TO THE STEERING COMMITTEE, TRIAGE IN ONTARIO

Survey of people who use community mental health services Leicestershire Partnership NHS Trust

Results of the Clatsop County Economic Development Survey

Canada s Health Care System and Frailty

Labour Market Trends and Outlooks for Regulated Professions in Ontario Appendix. Prism Economics and Analysis

4.09. Hospitals Management and Use of Surgical Facilities. Chapter 4 Section. Background. Follow-up on VFM Section 3.09, 2007 Annual Report

Unmet health care needs statistics

Philanthropy in a Turbulent Economy

FAMILY HEALTH GROUP LETTER OF AGREEMENT. - among-

EPSRC Care Life Cycle, Social Sciences, University of Southampton, SO17 1BJ, UK b

Developing Primary Care Measures that Matter: Creating a CHC Primary Care Dashboard. Clinical Team Advisory Group

Chartbook Number 4. Analysis of Expenditures for Dually Eligible Participants in HCBS and Institutional Settings Using Both Medicaid and Medicare Data

Determinants and Outcomes of Privately and Publicly Financed Home-Based Nursing

Transcription:

A Statistical Anatomy of Ontario Family Physicians Practices Logan McLeod, Gioia Buckley, Arthur Sweetman Abstract (updated January 25, 2016) *** Preliminary and not for distribution *** Background: Between 2001 and 2006, the province of Ontario introduced a series of new enrolment-based blended-payment primary care models (PCMs) as an alternative to the traditional fee-for-service model which does not require enrolment. Little is known about a family physician s practice in regards to how many patients are rostered and/or see a family physician (FP) and whether these patients also see and/or are rostered with other FPs. We contribute to the literature on primary care by presenting this basic information in light of the various PCMs that Ontario physicians are affiliated with. Methods: We use a rich set of linked physician-level and patient-level administrative data for the period April 2010 to March 2011 to analyze, from the perspective of individual Ontario FPs, the number of patients by enrolment status, the number of visits per patient, the proportion of patients who see only one FP or also see others and, for groups of physicians, the extent to which patients see other group FPs or outside-of-the-group FPs. Our results are analyzed based on family physicians demographic indicators (e.g., age, sex, years since graduation, rurality) as well as the PCMs family physicians are affiliated with during the year. Results: Ontario FPs saw and/or rostered an average of 1,888 patients with notable variation between PCMs. FPs in blended capitation models rostered an average of 71.1% of their patients while FPs in blended fee-for-service enrolment-based models rostered approximately 53.4%. Patients visited their FP an average of 2.8 times in a year with not rostered patients visiting less than rostered patients. For FPs in the FHO (Family Health Organization) blended capitation model, 64% of patients were rostered all year with the the FP, 28% were not rostered with any FP, while the rest (8%) was rostered only part year with the FP and/or was also rostered with other group and outside-of-the-group FPs; other PCMs present a similar distribution. From the perspective of who patients visited, 31% of patients of a FHO FP saw only the FP, 13% saw the FP and group FPs, 35% saw the FP and other FPs outside of the group, 13% saw no FP at all (they were rostered only) and the rest of the practice (8% of patients) saw FPs other than the FHO FP they rostered with. Conclusions: The new PCMs introduced in Ontario since the early 2000s have successfully attracted the majority of family physicians although traditional fee-for-service (FFS) remained the single most common model (35.1% of Ontario FPs) in the 2010-11 year. The majority of patients in most of the new PCMs were enrolled with one FP all year; however, we also find little within-group coverage of visits, especially among Family Health Groups (FHGs). We observe some marked differences between PCMs; for example, FPs in the blended fee-forservice models (FHGs and the Comprehensive Care Model) attracted FPs with the largest practices while FPs in traditional FFS were most often outliers (i.e., higher or lower than average) with respect to practice size and mean visits per patient. Logan McLeod, Gioia Buckley, Arthur Sweetman, 2016. Do not cite without permission.

1 / 33 A Statistical Anatomy of Ontario Family Physicians Practices Logan McLeod, Gioia Buckley, and Arthur Sweetman McMaster University Wilfrid Laurier University Primary Care Reform Symposium: Economic Analysis of Recent Changes in Ontario The Faculty Club, University of Toronto January 15, 2016. *** Preliminary. Not to be cited without permission of the author *** McLeod, Buckley, and Sweetman 2016

Funding Acknowledgement 2 / 33 This work was funded by the Government of Ontario through a Ministry of Health and Long-Term Care Health System Research Fund grant entitled: Harnessing Evidence and Values for Health System Excellence The views expressed in this presentation are the views of the authors and should not be taken to represent the views of the Government of Ontario.

Background 3 / 33 Ontario s Primary Care landscape has changed since 2000 new payment and delivery models more emphasis on rostering and team based care

3 / 33 Background Ontario s Primary Care landscape has changed since 2000 new payment and delivery models more emphasis on rostering and team based care Primary Care Model (PCM) Year % of FPs Avg. Group Intro. 2000-01 2010-11 Size (2010-11) Traditional fee-for-service (FFS) - 98.4% 35.1% 1 Non-Capitated Family Health Groups (FHG) 2003-23.8% 12 Comprehensive Care Management (CCM) 2005-2.4% 1 Capitated Family Health Organizations (FHOs) 2006-23.7% 9 Family Health Networks (FHNs) 2002-2.7% 8 Source: authors calculations. 2010-11 distribution accounts for 87.7% of FPs.

What do we know about the basic characteristics of primary care models (PCM)? 4 / 33 Specifically 1. What are some physician and practice characteristics, by PCM? The number of patients by enrolment status The average number of visits per patient 2. What are some basic patient visit patterns? The percentage of patients who see only their rostering family physician/group Which patients see more than one physician in their rostering group 3. What about the distribution of practice sizes? 4. What about the number and type of visits?

Administrative Data Sources 5 / 33 Years: April 1, 2010 to March 31, 2011 Data Sources

Administrative Data Sources 5 / 33 Years: April 1, 2010 to March 31, 2011 Data Sources 1. Corporate Provider Database (CPDB) age, sex, specialty, years since licensing, country of medical graduation (IMG), locum status, PCM, rurality of practice location 2. Ontario Health Insurance Plan (OHIP) Claims History Database claims submitted by MDs 3. Client Agency Program Enrolment (CAPE) patient enrolments

Administrative Data Sources 5 / 33 Years: April 1, 2010 to March 31, 2011 Data Sources 1. Corporate Provider Database (CPDB) age, sex, specialty, years since licensing, country of medical graduation (IMG), locum status, PCM, rurality of practice location 2. Ontario Health Insurance Plan (OHIP) Claims History Database claims submitted by MDs 3. Client Agency Program Enrolment (CAPE) patient enrolments 4. Registered Persons Database (RPDB) eligible OHIP beneficiaries demographic data (age / sex) 5. Family Health Team (FHT) and general practice specialists data MDs who are part of a FHT or who sub-specialize

Selecting Family Physicians (FP) 6 / 33 Family Physicians (FP) General Practitioners or Family Physician specialty (CPDB) Active billed at least $1 for common fee codes (OHIP) A007 (intermediate assessment), A001 (minor assessment) and A003 (general assessment) enrolled at least one patient in a PCM during the year Deleted outliers practice size exceeds 10,000, while % of total billing represented by A007, A001, A003 was under 20%

Selecting Family Physicians (FP) 6 / 33 Family Physicians (FP) General Practitioners or Family Physician specialty (CPDB) Active billed at least $1 for common fee codes (OHIP) A007 (intermediate assessment), A001 (minor assessment) and A003 (general assessment) enrolled at least one patient in a PCM during the year Deleted outliers practice size exceeds 10,000, while % of total billing represented by A007, A001, A003 was under 20% # of FPs = 11, 626 # of Patients = 13.9 million (approximately)

Variable Definitions: Physician Characteristics 7 / 33 Primary Care Model not affiliated with any PCM all year are assigned as FFS affiliated with the same PCM all year are assigned the PCM Rural Models: the Rural and Northern Physician Group Agreement (RNPGA), Group Health Centre (GHC), Community Sponsored Agreements, and the Weeneebayko Area Health Authority (WAHA) switched PCMs during the year, are assigned as: CCM and FHG FHN and FHO all else are assigned to other International Medical Graduates (IMGs) FP with medical degree outside of Canada and the United States Practice Rurality Based on Rurality Index of Ontario (RIO) values between 0 (urban) and 100 (very rural)

Variable Definitions: Patient Visits 8 / 33 Patient Visit All claims by the same physician for the same patient on the same day Excluded: laboratory services ( L fee codes) walk-in services (fee code A888A) Emergency Department services ( H fee codes)

Variable Definitions: Patient Visits 8 / 33 Patient Visit All claims by the same physician for the same patient on the same day Excluded: laboratory services ( L fee codes) walk-in services (fee code A888A) Emergency Department services ( H fee codes) Service Type 1. Primary care services included in the FHO basket of capitated services 2. Walk-in and emergency services with a Fee Schedule Code of A888A, or H codes 3. Other services All other non-laboratory services provided by FPs

What are some basic physician and practice characteristics, by primary care model? 9 / 33

Family Physician Characteristics by PCM Family Physician Characteristics Primary Care # Mean % % Mean Model (col. %) Age Female IMG RIO 1. FFS 4,087 (35.1 %) 51.5 36 23 8.2 2. Non-Capitated FHG 2,768 (23.8 %) 52.6 39 33 4 CCM 279 (2.4 %) 56.0 30 41 11.2 Rural models 179 (1.5 %) 49.9 33 12 63.3 CCM and FHG 99 (1.0 %) 50.1 42 38 3.5 Sub-Total 3,325 (28.6 %) 52.7 38 33 7.8 3. Capitated FHO 2,757 (23.7 %) 50.9 40 15 16 FHN 312 (2.7 %) 49.2 37 12 49.1 FHN and FHO 124 (1.1 %) 49.3 48 11 14.8 Sub-Total 3,193 (27.5 %) 50.6 40 15 19.2 4. Other 1,021 (8.8 %) 47.7 48 30 13.1 Total 11,626 (100 %) 51.3 38 24 11.5 Distribution of FPs FFS is the single largest PCM (35.1%) FHG and FHO are the next largest PCMs, approximately the same size ( 24%) 10 / 33

Family Physician Characteristics by PCM Family Physician Characteristics Primary Care # Mean % % Mean Model (col. %) Age Female IMG RIO 1. FFS 4,087 (35.1 %) 51.5 36 23 8.2 2. Non-Capitated FHG 2,768 (23.8 %) 52.6 39 33 4 CCM 279 (2.4 %) 56.0 30 41 11.2 Rural models 179 (1.5 %) 49.9 33 12 63.3 CCM and FHG 99 (1.0 %) 50.1 42 38 3.5 Sub-Total 3,325 (28.6 %) 52.7 38 33 7.8 3. Capitated FHO 2,757 (23.7 %) 50.9 40 15 16 FHN 312 (2.7 %) 49.2 37 12 49.1 FHN and FHO 124 (1.1 %) 49.3 48 11 14.8 Sub-Total 3,193 (27.5 %) 50.6 40 15 19.2 4. Other 1,021 (8.8 %) 47.7 48 30 13.1 Total 11,626 (100 %) 51.3 38 24 11.5 Age / sex of FPs Older (56.0) and less female (30%) in CCMs Younger (47.7) and more female (48%) transitioning between PCMs 11 / 33

Mean Patients Seen or Rostered (row %) 12 / 33 Primary Care Not Rostered Rostered Total Model (seen) (not seen) (seen) 1. FFS 1,332 (100.0) - - 1,332 2. Non-Capitated FHG 1,277 (48.3) 372 (14.1) 994 (37.6) 2,643 CCM 704 (32.9) 364 (17.0) 1,073 (50.1) 2,142 Rural models 450 (30.6) 376 (25.6) 644 (43.8) 1,470 CCM and FHG 1,117 (47.7) 436 (18.6) 788 (33.7) 2,342 Sub-Total 1,179 (46.6) 373 (14.8) 976 (38.6) 2,528 3. Capitated FHO 595 (28.5) 441 (21.2) 1,048 (50.3) 2,085 FHN 627 (35.1) 364 (20.4) 794 (44.5) 1,785 FHN and FHO 402 (21.6) 673 (36.2) 785 (42.2) 1,860 Sub-Total 591 (28.9) 443 (21.6) 1,013 (49.5) 2,046 4. Other 723 (47.2) 297 (19.4) 512 (33.4) 1,532 Total 1,031 (54.6) 254 (13.5) 602 (31.9) 1,888 Practice Size The average practice size 1,888 patients Approximately the same for capitated models (2,046) Much higher for non-capitated models (2,528)

Mean Patients Seen or Rostered (row %) Primary Care Not Rostered Rostered Total Model (seen) (not seen) (seen) 1. FFS 1,332 (100.0) - - 1,332 2. Non-Capitated FHG 1,277 (48.3) 372 (14.1) 994 (37.6) 2,643 CCM 704 (32.9) 364 (17.0) 1,073 (50.1) 2,142 Rural models 450 (30.6) 376 (25.6) 644 (43.8) 1,470 CCM and FHG 1,117 (47.7) 436 (18.6) 788 (33.7) 2,342 Sub-Total 1,179 (46.6) 373 (14.8) 976 (38.6) 2,528 3. Capitated FHO 595 (28.5) 441 (21.2) 1,048 (50.3) 2,085 FHN 627 (35.1) 364 (20.4) 794 (44.5) 1,785 FHN and FHO 402 (21.6) 673 (36.2) 785 (42.2) 1,860 Sub-Total 591 (28.9) 443 (21.6) 1,013 (49.5) 2,046 4. Other 723 (47.2) 297 (19.4) 512 (33.4) 1,532 Total 1,031 (54.6) 254 (13.5) 602 (31.9) 1,888 Rostering Majority of patients are rostered in all PCMs (except FFS) Capitated models have lower share (28.9%) of not rostered patients than non-capitated models (46.6%) 13 / 33

Mean Patients Seen or Rostered (row %) Primary Care Not Rostered Rostered Total Model (seen) (not seen) (seen) 1. FFS 1,332 (100.0) - - 1,332 2. Non-Capitated FHG 1,277 (48.3) 372 (14.1) 994 (37.6) 2,643 CCM 704 (32.9) 364 (17.0) 1,073 (50.1) 2,142 Rural models 450 (30.6) 376 (25.6) 644 (43.8) 1,470 CCM and FHG 1,117 (47.7) 436 (18.6) 788 (33.7) 2,342 Sub-Total 1,179 (46.6) 373 (14.8) 976 (38.6) 2,528 3. Capitated FHO 595 (28.5) 441 (21.2) 1,048 (50.3) 2,085 FHN 627 (35.1) 364 (20.4) 794 (44.5) 1,785 FHN and FHO 402 (21.6) 673 (36.2) 785 (42.2) 1,860 Sub-Total 591 (28.9) 443 (21.6) 1,013 (49.5) 2,046 4. Other 723 (47.2) 297 (19.4) 512 (33.4) 1,532 Total 1,031 (54.6) 254 (13.5) 602 (31.9) 1,888 Rostering but not seen Majority of rostered patients make at least one visit Approximately 28% of rostered patients in non-capitated models are not seen, and 30% in capitated models 14 / 33

Mean Visits per patient 15 / 33 Primary Care Roster Status Model Not Part year All Year Total 1.FFS 3.2 - - 3.2 2. Non-Capitated FHG 2.5 3.1 3.4 3.0 CCM 3.0 3.2 3.9 3.6 Rural models 2.4 2.4 2.5 2.4 CCM and FHG 2.1 3.2 3.4 2.7 Sub-Total 2.5 3.0 3.4 3.0 3. Capitated FHO 2.1 2.8 2.6 2.4 FHN 2.0 3.3 2.8 2.5 FHN and FHO 2.1 2.7 2.4 2.2 Sub-Total 2.1 2.8 2.6 2.4 4. Other 1.9 2.6 2.8 2.2 Total 2.6 2.9 3.0 2.8 Visits The average patient makes 2.8 visits Higher in FFS (3.2) and non-capitated models (3.0) Lower in capitated models (2.4)

Mean Visits per patient 16 / 33 Primary Care Roster Status Model Not Part year All Year Total 1. FFS 3.2 - - 3.2 2. Non-Capitated FHG 2.5 3.1 3.4 3.0 CCM 3.0 3.2 3.9 3.6 Rural models 2.4 2.4 2.5 2.4 CCM and FHG 2.1 3.2 3.4 2.7 Sub-Total 2.5 3.0 3.4 3.0 3. Capitated FHO 2.1 2.8 2.6 2.4 FHN 2.0 3.3 2.8 2.5 FHN and FHO 2.1 2.7 2.4 2.2 Sub-Total 2.1 2.8 2.6 2.4 4. Other 1.9 2.6 2.8 2.2 Total 2.6 2.9 3.0 2.8 Rostering and visits not rostered patients visit less (2.6) than patients rostered all year (3.0) not rostered FHG patients make 0.9 fewer visits than rostered FHG patients not rostered FHO patients make 0.5 fewer visits than rostered FHO patients

What are some basic patient visit patterns? 17 / 33

% of Patients by Enrolment Category, Selected PCM 70 64.4 63.8 60 57.3 Percentage of Patients 50 40 30 20 25.8 51.0 40.6 33.7 27.9 10 0 4.8 0.0 5.0 4.1 3.8 0.5 5.2 0.8 3.1 4.6 0.4 3.2 CCM FHG FHN FHO Primary Care Model Enr. Cat. A: R all year w/this FP Enr. Cat. C: R only in group Enr. Cat. B: R <year, this FP Enr. Cat. D: R also w/others Enr. Cat. E: Not R w/this FP, visit only Most patients are: Rostered all year with FP (Cat. A) Not Rostered with FP, visit only (Cat. E) 18 / 33

19 / 33 % of Patients by Enrolment Category, Selected PCM 70 64.4 63.8 60 57.3 Percentage of Patients 50 40 30 20 25.8 51.0 40.6 33.7 27.9 10 0 4.8 0.0 5.0 4.1 3.8 0.5 5.2 0.8 3.1 4.6 0.4 3.2 CCM FHG FHN FHO Primary Care Model Enr. Cat. A: R all year w/this FP Enr. Cat. C: R only in group Enr. Cat. E: Not R w/this FP, visit only Enr. Cat. B: R <year, this FP Enr. Cat. D: R also w/others Small % (3% to 5%) are also rostered with other FPs (Cat. D)

% of Patients by Visit Group, Selected PCM 90 86 Percentage of Patients 80 70 60 50 40 30 20 10 0 14 0 0 0 0 38 0 44 0 8 10 26 9 49 1 8 7 29 16 34 2 5 FFS CCM FHG FHN FHO Primary Care Model 14 31 13 35 1 13 7 Visit Grp 1: Saw FP only Visit Grp 3: FP and outside FPs Visit Grp 5: Only outside FPs (not FP) Visit Grp 2: FP and group FPs Visit Grp 4: Only group (not FP) Visit Grp 6: No FPs Most patients: Saw FP only (Grp. 1) Saw FP and outside FPs (Grp. 3) 20 / 33

% of Patients by Visit Group, Selected PCM 90 86 Percentage of Patients 80 70 60 50 40 30 20 10 0 14 0 0 0 0 38 0 44 0 8 10 26 9 49 1 8 7 29 16 34 2 5 FFS CCM FHG FHN FHO Primary Care Model 14 31 13 35 1 13 7 Visit Grp 1: Saw FP only Visit Grp 3: FP and outside FPs Visit Grp 5: Only outside FPs (not FP) Visit Grp 2: FP and group FPs Visit Grp 4: Only group (not FP) Visit Grp 6: No FPs More patients saw FP only in newer PCMs FHO (31%) & FHG (26%) FFS (14%) 21 / 33

% of Patients by Visit Group, Selected PCM 90 86 Percentage of Patients 80 70 60 50 40 30 20 10 0 14 0 0 0 0 38 0 44 0 8 10 26 9 49 1 8 7 29 16 34 2 5 FFS CCM FHG FHN FHO Primary Care Model 14 31 13 35 1 13 7 Visit Grp 1: Saw FP only Visit Grp 3: FP and outside FPs Visit Grp 5: Only outside FPs (not FP) Visit Grp 2: FP and group FPs Visit Grp 4: Only group (not FP) Visit Grp 6: No FPs PCMs display limited within-group coverage a low % of FP and group FP (Grp. 2) high % of FP and outside FP (Grp. 3) recall: walk-in and emergency services have been excluded 22 / 33

What about the distribution of practice sizes? 23 / 33

24 / 33 % of FPs by Practice Size, Selected PCMs FFS CCM FHG Percentage of FPs 0 10 20 30 40 0 10 20 30 40 FHN FHO Total 0 to 499 pts 500-999 1000-1499 1500-1999 2000-2499 2500-2999 3000-3499 3500-3999 4000-4499 4500-4999 5000+ most common practice size between 1,000 and 2,500 patients

25 / 33 % of FPs by Practice Size, Selected PCMs FFS CCM FHG Percentage of FPs 0 10 20 30 40 0 10 20 30 40 FHN FHO Total 0 to 499 pts 500-999 1000-1499 1500-1999 2000-2499 2500-2999 3000-3499 3500-3999 4000-4499 4500-4999 5000+ 60% of FPs in FFS have practices of less than 1,000 patients

% of FPs by Practice Size, Selected PCMs FFS CCM FHG Percentage of FPs 0 10 20 30 40 0 10 20 30 40 FHN FHO Total 0 to 499 pts 500-999 1000-1499 1500-1999 2000-2499 2500-2999 3000-3499 3500-3999 4000-4499 4500-4999 5000+ a sizeable percentage (4.7%) of FPs with practice sizes exceeding 5,000 91% of them are in FFS or FHGs 26 / 33

What about the number and type of visits? 27 / 33

% of FPs by Mean Number of Visits per Patient, Selected PCMs FFS CCM FHG Percentage of FPs 0 20 40 60 0 20 40 60 FHN FHO Total 0 visits 0 to 0.9 1 to 1.9 2 to 2.9 3 to 3.9 4 to 4.9 5 to 5.9 6 to 6.9 7 to 7.9 8 to 8.9 9 to 9.9 10+ visits 71% to 87% of FPs in newer PCMs see their patients between 2 and 5.9 times only 33% of FFS FPs are in this group 28 / 33

% of FPs by Mean Number of Visits per Patient, Selected PCMs FFS CCM FHG Percentage of FPs 0 20 40 60 0 20 40 60 FHN FHO Total 0 visits 0 to 0.9 1 to 1.9 2 to 2.9 3 to 3.9 4 to 4.9 5 to 5.9 6 to 6.9 7 to 7.9 8 to 8.9 9 to 9.9 10+ visits FFS group is somewhat polarized high concentration (56%) in the 1 to 1.9 visits category relatively large % seeing their patients 6 or more times 29 / 33

Percentage of Total Visits by Service Type 30 / 33 Primary Care Model Primary care Walk-in or Emerg. Other 1. FFS 54.8 14.6 30.6 2. Non-Capitated FHG 75.1 3.0 21.9 CCM 76.4 2.0 21.5 Rural models 63.3 5.0 31.7 CCM and FHG 77.0 2.6 20.4 Sub-Total 74.6 3.1 22.3 3. Capitated FHO 67.8 3.4 28.8 FHN 56.7 9.6 33.7 FHN and FHO 64.5 4.8 30.7 Sub-Total 66.6 4.1 29.3 4. Other 68.8 5.1 26.1 Total 64.9 7.6 27.5

Summary of Findings 31 / 33

Interpretation of Results 32 / 33 New PCMs have successfully attracted the majority of FPs although traditional FFS remains the single largest PCM (35.1%)

32 / 33 Interpretation of Results New PCMs have successfully attracted the majority of FPs although traditional FFS remains the single largest PCM (35.1%) Some marked differences across PCMs FFS outlier with respect to practice size and mean number of visits per patient FFS FPs work sporadically in the year, with small practices, seeing patients more or less often than other PCMs FHGs and CCMs attract FPs with the largest practices Majority of patients in most popular PCMs enrolled with one FP all year Little within-group coverage of visits, especially among FHGs

33 / 33 A Statistical Anatomy of Ontario Family Physicians Practices Logan McLeod, Gioia Buckley, and Arthur Sweetman McMaster University Wilfrid Laurier University Primary Care Reform Symposium: Economic Analysis of Recent Changes in Ontario The Faculty Club, University of Toronto January 15, 2016. *** Preliminary. Not to be cited without permission of the author *** McLeod, Buckley, and Sweetman 2016