Skip to main content

Main menu

  • Home
  • Content
    • Current issue
    • Past issues
    • Collections
  • Authors & Reviewers
    • Overview for Authors
    • Preparing manuscripts
    • Submission Checklist
    • Publication Fees
    • Forms
    • Editorial Policies
    • Editorial Process
    • Patient-Oriented Research
    • Manuscript Progress
    • Submitting a letter
    • Information for Reviewers
    • Open access
  • Alerts
    • Email alerts
    • RSS
  • About
    • General information
    • Staff
    • Editorial board
    • Contact
  • CMAJ JOURNALS
    • CMAJ
    • CJS
    • JAMC
    • JPN

User menu

Search

  • Advanced search
CMAJ Open
  • CMAJ JOURNALS
    • CMAJ
    • CJS
    • JAMC
    • JPN
CMAJ Open

Advanced Search

  • Home
  • Content
    • Current issue
    • Past issues
    • Collections
  • Authors & Reviewers
    • Overview for Authors
    • Preparing manuscripts
    • Submission Checklist
    • Publication Fees
    • Forms
    • Editorial Policies
    • Editorial Process
    • Patient-Oriented Research
    • Manuscript Progress
    • Submitting a letter
    • Information for Reviewers
    • Open access
  • Alerts
    • Email alerts
    • RSS
  • About
    • General information
    • Staff
    • Editorial board
    • Contact
  • Subscribe to our alerts
  • RSS feeds
  • Follow CMAJ Open on Twitter
Research
Open Access

Primary care bonus payments and patient-reported access in urban Ontario: a cross-sectional study

Kamila Premji, Ewa Sucha, Richard H. Glazier, Michael E. Green, Walter P. Wodchis, William E. Hogg, Tara Kiran, Eliot Frymire, Thomas R. Freeman and Bridget L. Ryan
November 30, 2021 9 (4) E1080-E1096; DOI: https://doi.org/10.9778/cmajo.20200235
Kamila Premji
Department of Family Medicine, Schulich School of Medicine & Dentistry (Premji, Freeman, Ryan), Western University, London, Ont.; Department of Family Medicine (Premji), University of Ottawa; ICES uOttawa (Sucha, Hogg), Ottawa Hospital Research Institute, Ottawa, Ont.; ICES Toronto (Glazier, Kiran); Department of Family and Community Medicine and MAP Centre for Urban Health Solutions (Glazier, Kiran), St. Michael’s Hospital, University of Toronto, Toronto, Ont.; ICES Queen’s (Green); Department of Family Medicine (Green); Health Services and Policy Research Institute (Green, Frymire), Queen’s University, Kingston, Ont.; Institute of Health Policy Management and Evaluation (Wodchis), University of Toronto, Toronto, Ont.; Institute for Better Health (Wodchis), Trillium Health Partners, Mississauga, Ont.; Institut du Savoir Montfort (Hogg), Ottawa, Ont.; Centre for Studies in Family Medicine (Freeman), Department of Family Medicine; Department of Epidemiology and Biostatistics (Ryan), Schulich School of Medicine & Dentistry, Western University, London, Ont.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ewa Sucha
Department of Family Medicine, Schulich School of Medicine & Dentistry (Premji, Freeman, Ryan), Western University, London, Ont.; Department of Family Medicine (Premji), University of Ottawa; ICES uOttawa (Sucha, Hogg), Ottawa Hospital Research Institute, Ottawa, Ont.; ICES Toronto (Glazier, Kiran); Department of Family and Community Medicine and MAP Centre for Urban Health Solutions (Glazier, Kiran), St. Michael’s Hospital, University of Toronto, Toronto, Ont.; ICES Queen’s (Green); Department of Family Medicine (Green); Health Services and Policy Research Institute (Green, Frymire), Queen’s University, Kingston, Ont.; Institute of Health Policy Management and Evaluation (Wodchis), University of Toronto, Toronto, Ont.; Institute for Better Health (Wodchis), Trillium Health Partners, Mississauga, Ont.; Institut du Savoir Montfort (Hogg), Ottawa, Ont.; Centre for Studies in Family Medicine (Freeman), Department of Family Medicine; Department of Epidemiology and Biostatistics (Ryan), Schulich School of Medicine & Dentistry, Western University, London, Ont.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Richard H. Glazier
Department of Family Medicine, Schulich School of Medicine & Dentistry (Premji, Freeman, Ryan), Western University, London, Ont.; Department of Family Medicine (Premji), University of Ottawa; ICES uOttawa (Sucha, Hogg), Ottawa Hospital Research Institute, Ottawa, Ont.; ICES Toronto (Glazier, Kiran); Department of Family and Community Medicine and MAP Centre for Urban Health Solutions (Glazier, Kiran), St. Michael’s Hospital, University of Toronto, Toronto, Ont.; ICES Queen’s (Green); Department of Family Medicine (Green); Health Services and Policy Research Institute (Green, Frymire), Queen’s University, Kingston, Ont.; Institute of Health Policy Management and Evaluation (Wodchis), University of Toronto, Toronto, Ont.; Institute for Better Health (Wodchis), Trillium Health Partners, Mississauga, Ont.; Institut du Savoir Montfort (Hogg), Ottawa, Ont.; Centre for Studies in Family Medicine (Freeman), Department of Family Medicine; Department of Epidemiology and Biostatistics (Ryan), Schulich School of Medicine & Dentistry, Western University, London, Ont.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Michael E. Green
Department of Family Medicine, Schulich School of Medicine & Dentistry (Premji, Freeman, Ryan), Western University, London, Ont.; Department of Family Medicine (Premji), University of Ottawa; ICES uOttawa (Sucha, Hogg), Ottawa Hospital Research Institute, Ottawa, Ont.; ICES Toronto (Glazier, Kiran); Department of Family and Community Medicine and MAP Centre for Urban Health Solutions (Glazier, Kiran), St. Michael’s Hospital, University of Toronto, Toronto, Ont.; ICES Queen’s (Green); Department of Family Medicine (Green); Health Services and Policy Research Institute (Green, Frymire), Queen’s University, Kingston, Ont.; Institute of Health Policy Management and Evaluation (Wodchis), University of Toronto, Toronto, Ont.; Institute for Better Health (Wodchis), Trillium Health Partners, Mississauga, Ont.; Institut du Savoir Montfort (Hogg), Ottawa, Ont.; Centre for Studies in Family Medicine (Freeman), Department of Family Medicine; Department of Epidemiology and Biostatistics (Ryan), Schulich School of Medicine & Dentistry, Western University, London, Ont.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Walter P. Wodchis
Department of Family Medicine, Schulich School of Medicine & Dentistry (Premji, Freeman, Ryan), Western University, London, Ont.; Department of Family Medicine (Premji), University of Ottawa; ICES uOttawa (Sucha, Hogg), Ottawa Hospital Research Institute, Ottawa, Ont.; ICES Toronto (Glazier, Kiran); Department of Family and Community Medicine and MAP Centre for Urban Health Solutions (Glazier, Kiran), St. Michael’s Hospital, University of Toronto, Toronto, Ont.; ICES Queen’s (Green); Department of Family Medicine (Green); Health Services and Policy Research Institute (Green, Frymire), Queen’s University, Kingston, Ont.; Institute of Health Policy Management and Evaluation (Wodchis), University of Toronto, Toronto, Ont.; Institute for Better Health (Wodchis), Trillium Health Partners, Mississauga, Ont.; Institut du Savoir Montfort (Hogg), Ottawa, Ont.; Centre for Studies in Family Medicine (Freeman), Department of Family Medicine; Department of Epidemiology and Biostatistics (Ryan), Schulich School of Medicine & Dentistry, Western University, London, Ont.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
William E. Hogg
Department of Family Medicine, Schulich School of Medicine & Dentistry (Premji, Freeman, Ryan), Western University, London, Ont.; Department of Family Medicine (Premji), University of Ottawa; ICES uOttawa (Sucha, Hogg), Ottawa Hospital Research Institute, Ottawa, Ont.; ICES Toronto (Glazier, Kiran); Department of Family and Community Medicine and MAP Centre for Urban Health Solutions (Glazier, Kiran), St. Michael’s Hospital, University of Toronto, Toronto, Ont.; ICES Queen’s (Green); Department of Family Medicine (Green); Health Services and Policy Research Institute (Green, Frymire), Queen’s University, Kingston, Ont.; Institute of Health Policy Management and Evaluation (Wodchis), University of Toronto, Toronto, Ont.; Institute for Better Health (Wodchis), Trillium Health Partners, Mississauga, Ont.; Institut du Savoir Montfort (Hogg), Ottawa, Ont.; Centre for Studies in Family Medicine (Freeman), Department of Family Medicine; Department of Epidemiology and Biostatistics (Ryan), Schulich School of Medicine & Dentistry, Western University, London, Ont.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Tara Kiran
Department of Family Medicine, Schulich School of Medicine & Dentistry (Premji, Freeman, Ryan), Western University, London, Ont.; Department of Family Medicine (Premji), University of Ottawa; ICES uOttawa (Sucha, Hogg), Ottawa Hospital Research Institute, Ottawa, Ont.; ICES Toronto (Glazier, Kiran); Department of Family and Community Medicine and MAP Centre for Urban Health Solutions (Glazier, Kiran), St. Michael’s Hospital, University of Toronto, Toronto, Ont.; ICES Queen’s (Green); Department of Family Medicine (Green); Health Services and Policy Research Institute (Green, Frymire), Queen’s University, Kingston, Ont.; Institute of Health Policy Management and Evaluation (Wodchis), University of Toronto, Toronto, Ont.; Institute for Better Health (Wodchis), Trillium Health Partners, Mississauga, Ont.; Institut du Savoir Montfort (Hogg), Ottawa, Ont.; Centre for Studies in Family Medicine (Freeman), Department of Family Medicine; Department of Epidemiology and Biostatistics (Ryan), Schulich School of Medicine & Dentistry, Western University, London, Ont.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Eliot Frymire
Department of Family Medicine, Schulich School of Medicine & Dentistry (Premji, Freeman, Ryan), Western University, London, Ont.; Department of Family Medicine (Premji), University of Ottawa; ICES uOttawa (Sucha, Hogg), Ottawa Hospital Research Institute, Ottawa, Ont.; ICES Toronto (Glazier, Kiran); Department of Family and Community Medicine and MAP Centre for Urban Health Solutions (Glazier, Kiran), St. Michael’s Hospital, University of Toronto, Toronto, Ont.; ICES Queen’s (Green); Department of Family Medicine (Green); Health Services and Policy Research Institute (Green, Frymire), Queen’s University, Kingston, Ont.; Institute of Health Policy Management and Evaluation (Wodchis), University of Toronto, Toronto, Ont.; Institute for Better Health (Wodchis), Trillium Health Partners, Mississauga, Ont.; Institut du Savoir Montfort (Hogg), Ottawa, Ont.; Centre for Studies in Family Medicine (Freeman), Department of Family Medicine; Department of Epidemiology and Biostatistics (Ryan), Schulich School of Medicine & Dentistry, Western University, London, Ont.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Thomas R. Freeman
Department of Family Medicine, Schulich School of Medicine & Dentistry (Premji, Freeman, Ryan), Western University, London, Ont.; Department of Family Medicine (Premji), University of Ottawa; ICES uOttawa (Sucha, Hogg), Ottawa Hospital Research Institute, Ottawa, Ont.; ICES Toronto (Glazier, Kiran); Department of Family and Community Medicine and MAP Centre for Urban Health Solutions (Glazier, Kiran), St. Michael’s Hospital, University of Toronto, Toronto, Ont.; ICES Queen’s (Green); Department of Family Medicine (Green); Health Services and Policy Research Institute (Green, Frymire), Queen’s University, Kingston, Ont.; Institute of Health Policy Management and Evaluation (Wodchis), University of Toronto, Toronto, Ont.; Institute for Better Health (Wodchis), Trillium Health Partners, Mississauga, Ont.; Institut du Savoir Montfort (Hogg), Ottawa, Ont.; Centre for Studies in Family Medicine (Freeman), Department of Family Medicine; Department of Epidemiology and Biostatistics (Ryan), Schulich School of Medicine & Dentistry, Western University, London, Ont.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Bridget L. Ryan
Department of Family Medicine, Schulich School of Medicine & Dentistry (Premji, Freeman, Ryan), Western University, London, Ont.; Department of Family Medicine (Premji), University of Ottawa; ICES uOttawa (Sucha, Hogg), Ottawa Hospital Research Institute, Ottawa, Ont.; ICES Toronto (Glazier, Kiran); Department of Family and Community Medicine and MAP Centre for Urban Health Solutions (Glazier, Kiran), St. Michael’s Hospital, University of Toronto, Toronto, Ont.; ICES Queen’s (Green); Department of Family Medicine (Green); Health Services and Policy Research Institute (Green, Frymire), Queen’s University, Kingston, Ont.; Institute of Health Policy Management and Evaluation (Wodchis), University of Toronto, Toronto, Ont.; Institute for Better Health (Wodchis), Trillium Health Partners, Mississauga, Ont.; Institut du Savoir Montfort (Hogg), Ottawa, Ont.; Centre for Studies in Family Medicine (Freeman), Department of Family Medicine; Department of Epidemiology and Biostatistics (Ryan), Schulich School of Medicine & Dentistry, Western University, London, Ont.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Tables
  • Related Content
  • Responses
  • Metrics
  • PDF
Loading

Article Figures & Tables

Figures

  • Tables
  • Figure 1:
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 1:

    Patient cohort flowchart. Note: HCES= Health Care Experiences Survey.

  • Figure 2:
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 2:

    Patient-reported access (2013 to 2017), namely (A) telephone access (n = 10 968), (B) after-hours access (n = 18 889), (C) wait time for care (n = 9485) and (D) timeliness of wait for care (n = 3048) from Health Care Experiences Survey. “Timeliness” reflects survey responses from April 2016 to 2017. Note: RIO = Rurality Index of Ontario.

  • Figure 3:
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 3:

    Multilevel univariate regression analysis of the odds of the patient reporting favourable (A) telephone access, (B) after-hours access, (C) wait time for care and (D) timeliness of wait for care, by geography and physician bonus quintile (Q1 = reference [lowest] quintile). Note: CI = confidence interval, OR = odds ratio.

  • Figure 4:
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 4:

    Multilevel multivariable logistic regression analysis of the odds of the patient reporting favourable (A) telephone access, (B) after-hours access, (C) wait time for care and (D) timeliness of wait for care, by geography and physician bonus quintile (Q1 = reference [lowest] quintile). Note: CI = confidence interval, OR = odds ratio.

Tables

  • Figures
    • View popup
    Table 1:

    Patient-reported access variables and coding schemes from the Health Care Experiences Survey (HCES)

    VariableHCES question stemCoding scheme for answer choices
    Telephone access (HCES item access 2)How often did your provider or someone else in the office speak to you when you called or get back to you the same day?†Favourable: Always, often
    Unfavourable: Sometimes, rarely, never, volunteers “it depends”
    Missing: Don’t know, refused
    After-hours access (HCES item access 6)Not including hospital emergency departments, does your provider have an after-hours clinic where patients can be seen by or talk to a doctor or nurse when the provider’s office is closed?Favourable: Yes
    Unfavourable: No, Don’t know
    Missing: Refused
    Wait time for care (HCES item sick 3)How many days did it take from when you first tried to see your provider to when you actually saw them or someone else in their office?‡Favourable: Same day, next day
    Unfavourable: 2 to ≥ 20 days
    Missing: Don’t know, refused
    Timeliness of wait for care (HCES item sick 6)*Would you say the length of time it took between making the appointment and the actual visit was about right, somewhat too long or much too long?‡Favourable: About right
    Unfavourable: Somewhat too long, much too long
    Missing: Other, don’t know, refused
    • ↵* Added to survey in April 2016.

    • ↵† Asked only of participants answering “Yes” to the question, “Have you called or tried to call your provider’s office with a medical question or concern during the day on a Monday to Friday in the last 12 months?”

    • ↵‡ Asked only of participants answering “Yes” to the question, “Not counting yearly check-ups or monitoring of an ongoing health issue, in the last 12 months did you want to see your provider because you were sick or had a health concern?”

    • View popup
    Table 2:

    Patient characteristics

    VariableNo. (%) of patients
    Total sample (RIO 0–39) (n = 18 893)Large urban (RIO 0) (n = 8325)Medium urban (RIO 1–9) (n = 6214)Small urban (RIO 10–39) (n = 4354)
    Sex (n = 18 893)
     Female11 278 (59.7)5066 (60.9)3664 (59.0)2548 (58.5)
     Male7615 (40.3)3259 (39.2)2550 (41.0)1806 (41.5)
    Age, yr (n = 18 893)
     16–18374 (2.0)168 (2.0)118 (1.9)88 (2.0)
     19–342444 (12.9)1089 (13.1)871 (14.0)484 (11.1)
     35–494562 (24.2)2138 (25.7)1528 (24.6)896 (20.6)
     50–645859 (31.0)2500 (30.0)1925 (31.0)1434 (32.9)
     65–743436 (18.2)1469 (17.7)1079 (17.4)888 (20.4)
     ≥ 752218 (11.7)961 (11.5)693 (11.2)564 (13.0)
    Language (n = 18 815)
     English, English & French, English & other17 294 (91.9)7406 (89.5)5719 (92.4)4169 (96.0)
     French436 (2.3)170 (2.1)160 (2.6)106 (2.4)
     Other1085 (5.8)703 (8.5)313 (5.16)69 (1.6)
    Education (n = 18 749)
     Some high school or less1998 (10.7)720 (8.7)662 (10.7)616 (14.3)
     High school3760 (20.1)1431 (17.3)1266 (20.5)1063 (24.6)
     Some postsecondary1652 (8.8)689 (8.3)569 (9.2)394 (9.1)
     College4868 (26.0)1949 (23.6)1660 (26.9)1259 (29.2)
     University4304 (23.0)2185 (26.5)1410 (22.8)709 (16.4)
     Postgraduate2167 (11.6)1283 (15.5)606 (9.8)278 (6.4)
    Income quintile (n = 18 836)
     1 (lowest)2854 (15.2)1349 (16.3)865 (14.0)640 (14.7)
     23327 (17.7)1519 (18.3)986 (15.9)822 (18.9)
     33795 (20.2)1659 (20.0)1207 (19.5)929 (21.4)
     44257 (22.6)1765 (21.3)1467 (23.7)1025 (23.6)
     5 (highest)4603 (24.4)2000 (24.1)1678 (27.1)925 (21.3)
    Immigrant* (n = 18 822)
     Yes4096 (21.8)2312 (27.9)1266 (20.4)518 (11.9)
     No14 726 (78.2)5965 (72.1)4933 (79.6)3828 (88.1)
    Self-reported general health (n = 18 818)
     Poor781 (4.2)307 (3.7)259 (4.2)215 (5.0)
     Fair2087 (11.1)904 (10.9)682 (11.0)501 (11.6)
     Good5290 (28.1)2258 (27.2)1808 (29.2)1224 (28.2)
     Very good7129 (37.9)3164 (38.2)2353 (11.0)1622 (37.4)
     Excellent3531 (18.8)1655 (20.0)1101 (4.2)775 (17.9)
    • Note: RIO = Rurality Index of Ontario.

    • ↵* Mean years since immigration: large urban 34.29 (standard deviation [SD] 18.54) years, medium urban 37.95 (SD 19.15) years, small urban 44.58 (SD 17.42) years.

    • View popup
    Table 3:

    Practice characteristics

    VariableNo. (%) of practices*
    Total sample (RIO 0–39)
    n = 414
    Large urban (RIO 0)
    n = 210
    Medium urban (RIO 1–9)
    n = 130
    Small urban (RIO 10–39)
    n = 74
    Not team-based practice277 (66.9)142 (67.6)100 (76.9)35 (47.3)
    Team-based practice137 (33.1)68 (32.4)30 (23.1)39 (52.7)
    No. of physicians per practice, mean ± SD (n = 414)10 (9.6)11 (9.4)9 (8.0)12 (12.2)
    No. of after-hours services per year, mean ± SD (n = 400)3935 ± 47973962 ± 47603924 ± 36623876 ± 6347
    • Note: RIO = Rurality Index of Ontario, SD = standard deviation.

    • ↵* Unless indicated otherwise.

    • View popup
    Table 4:

    Physician characteristics

    VariableNo. (%) of physicians*
    Total sample (RIO 0–39)
    n = 3940
    Large urban (RIO 0)
    n = 2026
    Medium urban (RIO 1–9)
    n = 1222
    Small urban (RIO 10–39)
    n = 692
    Age, yr, mean ± SD (n = 3940)51.9 ± 11.451.6 ± 11.751.8 ± 11.053.0 ± 10.9
    Years in practice, mean ± SD (n = 3938)26.8 ± 3.226.7 ± 3.026.8 ± 3.227.0 ± 3.6
    Roster size, mean ± SD (n = 3940)1522 ± 6391435 ± 6581638 ± 6041571 ± 605
    Proportion (%) of maximum potential access bonus achieved, mean ± SD (n = 3940)40.26 ± 30.6732.86 ± 28.3940.63 ± 30.3061.23 ± 27.87
    Sex (n = 3940)
     Female1872 (47.5)1100 (54.3)535 (43.8)237 (34.3)
     Male2068 (52.5)926 (45.7)687 (56.2)455 (65.8)
    Canadian graduate (n = 3938)
     No907 (23.0)416 (20.5)328 (26.8)163 (23.6)
     Yes3031 (77.0)1608 (79.4)894 (73.2)529 (76.4)
    Access bonus achievement by quintile
     1 (lowest)877 (22.3)545 (26.9)269 (22.0)63 (9.1)
     2865 (22.0)554 (27.3)260 (21.3)51 (7.4)
     3818 (20.8)457 (22.6)253 (20.7)108 (15.6)
     4726 (18.4)298 (14.7)253 (20.7)175 (25.3)
     5 (highest)654 (16.6)172 (8.5)187 (15.3)295 (42.6)
    • Note: RIO = Rurality Index of Ontario, SD = standard deviation.

    • ↵* Unless indicated otherwise.

    • View popup
    Table 5:

    Multilevel multivariable logistic regression for patient-reported telephone access, by geography

    VariableOR (95% CI)*
    Total sample (RIO 0–39)Large urban (RIO 0)Medium urban (RIO 1–9)Small urban (RIO 10–39)
    Main exposure
    Access bonus quintile
     1 (lowest)Ref.Ref.Ref.Ref.
     21.18 (0.98–1.42)1.09 (0.85–1.39)1.33 (0.99–1.79)0.77 (0.42–1.42)
     31.34 (1.10–1.63)1.17 (0.90–1.53)1.75 (1.25–2.45)0.84 (0.48–1.48)
     41.46 (1.19–1.79)1.45 (1.06–1.96)1.75 (1.25–2.44)1.24 (0.75–2.08)
     5 (highest)1.87 (1.50–2.33)2.23 (1.52–3.26)2.39 (1.63–3.50)1.58 (0.97–2.57)
    ICC, practice, %3.261.802.181.78
    ICC, physician, %6.706.746.527.98
    Patient, n10 778464235422594
    Sex
     MaleRef.Ref.Ref.Ref.
     Female0.99 (0.89–1.10)1.05 (0.89–1.25)0.96 (0.80–1.16)0.94 (0.75–1.18)
    Age, yr
     < 18Ref.Ref.Ref.Ref.
     19–340.84 (0.50–1.39)1.20 (0.56–2.54)0.99 (0.41–2.36)0.33 (0.09–1.22)
     35–490.88 (0.53–1.45)1.16 (0.55–2.42)1.08 (0.46–2.54)0.35 (0.10–1.28)
     50–640.94 (0.57–1.54)1.23 (0.59–2.57)1.10 (0.47–2.57)0.42 (0.12–1.53)
     65–741.56 (0.94–2.58)2.14 (1.01–4.52)*1.79 (0.76–4.25)0.69 (0.19–2.54)
     ≥ 751.40 (0.84–2.34)1.35 (0.64–2.88)2.03 (0.84–4.93)0.74 (0.20–2.78)
    Education
     Some high school or lessRef.Ref.Ref.Ref.
     High School1.32 (1.07–1.63)1.34 (0.93–1.93)1.3 (0.90–1.87)1.29 (0.87–1.91)
     Some postsecondary1.37 (1.07–1.76)1.25 (0.83–1.88)1.76 (1.14–2.72)1.00 (0.63–1.59)
     College1.18 (0.96–1.46)1.24 (0.87–1.77)1.26 (0.88–1.80)0.99 (0.67–1.44)
     University1.17 (0.94–1.45)1.09 (0.77–1.56)1.24 (0.85–1.80)1.03 (0.68–1.55)
     Postgraduate1.02 (0.80–1.29)0.98 (0.67–1.43)1.14 (0.74–1.74)0.76 (0.46–1.26)
    Primary language
     OtherRef.Ref.Ref.Ref.
     English, English & French, English & other1.08 (0.84–1.40)0.94 (0.67–1.32)1.61 (1.02–2.54)0.86 (0.31–2.4)
     French0.93 (0.61–1.42)0.72 (0.37–1.39)1.24 (0.61–2.51)1.08 (0.31–3.85)
    Health status
     PoorRef.Ref.Ref.Ref.
     Fair1.29 (1.01–1.66)1.37 (0.90–2.08)1.13 (0.73–1.74)1.24 (0.77–2.00)
     Good1.41 (1.12–1.77)1.35 (0.91–1.98)1.46 (0.98–2.17)1.31 (0.85–2.00)
     Very good1.98 (1.57–2.49)1.97 (1.33–2.90)1.83 (1.23–2.71)2.06 (1.34–3.16)
     Excellent2.21 (1.72–2.83)2.30 (1.51–3.49)1.69 (1.11–2.59)2.97 (1.82–4.85)
    Income quintile
     1 (lowest)Ref.Ref.Ref.Ref.
     21.01 (0.85–1.20)1.10 (0.84–1.44)0.99 (0.72–1.35)0.97 (0.68–1.40)
     31.07 (0.90–1.27)1.07 (0.82–1.40)1.20 (0.88–1.62)0.99 (0.69–1.43)
     41.00 (0.84–1.18)1.12 (0.86–1.46)1.10 (0.82–1.48)0.84 (0.59–1.19)
     51.08 (0.91–1.28)1.11 (0.86–1.45)1.24 (0.93–1.65)0.88 (0.61–1.26)
    Immigrant status
     YesRef.Ref.Ref.Ref.
     No1.19 (1.03–1.37)1.25 (1.02–1.53)1.12 (0.87–1.44)1.17 (0.83–1.65)
    Physician, n394020261222692
     Age1.01 (1.00–1.01)1.01 (1.00–1.01)1.01 (1.00–1.02)1.00 (0.99–1.01)
    Sex
     MaleRef.Ref.Ref.Ref.
     Female0.98 (0.86–1.11)0.89 (0.73–1.08)1.00 (0.81–1.24)1.00 (0.76–1.33)
    Canadian graduate
     NoRef.Ref.Ref.Ref.
     Yes1.20 (1.05–1.37)1.30 (1.04–1.62)1.27 (1.02–1.58)*0.87 (0.65–1.17)
    Years in practice (per 5-yr increase)0.89 (0.82–0.97)0.82 (0.72–0.94)0.96 (0.82–1.11)0.91 (0.78–1.07)
    Roster size (per 100-patient increase)0.92 (0.84–1.01)0.88 (0.76–1.02)0.94 (0.81–1.10)1.00 (0.82–1.23)
    Practice, n41421013074
     Group size (per 10-member increase)1.03 (0.96–1.10)1.05 (0.95–1.16)0.91 (0.81–1.02)1.09 (0.96–1.24)
     Number of after-hours services (per 500-hr increase)0.96 (0.89–1.04)0.92 (0.83–1.02)1.04 (0.92–1.18)0.99 (0.85–1.14)
    Practice model
     Not team-basedRef.Ref.Ref.Ref.
     Team-based0.92 (0.79–1.07)0.86 (0.69–1.07)1.19 (0.91–1.56)0.72 (0.53–0.98)
    • Note: CI = confidence interval, ICC = intraclass correlation coefficient, OR = odds ratio, Ref. = reference, RIO = Rurality Index of Ontario.

    • ↵* Unless indicated otherwise.

    • View popup
    Table 6:

    Multilevel multivariable logistic regression for patient-reported after-hours access, by geography

    VariableOR (95% CI)*
    Total sample (RIO 0–39)Large urban (RIO 0)Medium urban (RIO 1–9)Small urban (RIO 10–39)
    Main exposure
    Access bonus quintile
     1 (lowest)Ref.Ref.Ref.Ref.
     21.26 (1.09–1.47)1.36 (1.13–1.64)1.41 (1.07–1.85)1.18 (0.64–2.19)
     31.46 (1.23–1.74)1.84 (1.47–2.30)1.55 (1.14–2.12)1.07 (0.58–1.98)
     41.77 (1.46–2.15)2.36 (1.81–3.09)1.95 (1.39–2.73)1.36 (0.75–2.48)
     5 (highest)1.88 (1.52–2.32)1.92 (1.39–2.65)2.50 (1.70–3.68)1.69 (0.93–3.07)
    ICC, practice, %17.2513.0317.6722.85
    ICC, physician, %5.664.806.994.53
    Patient, n10 778464235422594
    Sex
     MaleRef.Ref.Ref.Ref.
     Female1.57 (1.46–1.68)1.76 (1.58–1.96)1.39 (1.23–1.57)1.54 (1.33–1.79)
    Age, yr
     < 18Ref.Ref.Ref.Ref.
     19–341.66 (1.26–2.17)2.04 (1.34–3.08)1.55 (0.96–2.51)1.42 (0.81–2.48)
     35–492.45 (1.88–3.19)3.13 (2.09–4.69)2.52 (1.57–4.06)1.66 (0.96–2.86)
     50–642.47 (1.90–3.20)3.06 (2.06–4.57)2.69 (1.69–4.291.59 (0.94–2.71)
     65–742.38 (1.83–3.10)3.19 (2.13–4.77)2.71 (1.69–4.34)1.35 (0.79–2.32)
     ≥ 751.82 (1.39–2.38)2.22 (1.47–3.33)1.84 (1.14–2.97)1.30 (0.75–2.26)
    Education
     Some high school or lessRef.Ref.Ref.Ref.
     High school1.13 (0.99–1.28)1.13 (0.91–1.41)1.04 (0.83–1.30)1.19 (0.93–1.51)
     Some postsecondary1.13 (0.97–1.33)1.20 (0.93–1.55)1.12 (0.85–1.46)1.01 (0.74–1.37)
     College1.29 (1.13–1.48)1.29 (1.04–1.61)1.31 (1.04–1.64)1.25 (0.97–1.60)
     University1.28 (1.11–1.47)1.37 (1.10–1.71)1.21 (0.95–1.53)1.15 (0.87–1.52)
     Postgraduate1.33 (1.14–1.55)1.46 (1.15–1.85)1.13 (0.85–1.49)1.27 (0.89–1.81)
    Primary language
     OtherRef.Ref.Ref.Ref.
     English, English & French, English & other1.62 (1.37–1.92)1.57 (1.26–1.95)1.81 (1.32–2.48)1.23 (0.67–2.25)
     French1.11 (0.83–1.48)0.87 (0.57–1.33)1.43 (0.88–2.33)0.73 (0.32–1.64)
    Health status
     PoorRef.Ref.Ref.Ref.
     Fair1.09 (0.90–1.32)0.98 (0.72–1.33)1.21 (0.87–1.69)0.94 (0.64–1.39)
     Good1.05 (0.88–1.26)1.00 (0.75–1.34)1.12 (0.83–1.52)0.89 (0.63–1.26)
     Very good1.18 (0.99–1.41)1.12 (0.84–1.49)1.21 (0.89–1.64)1.03 (0.73–1.46)
     Excellent1.04 (0.86–1.25)0.97 (0.72–1.31)1.04 (0.75–1.43)0.99 (0.68–1.43)
    Income quintile
     1 (lowest)Ref.Ref.Ref.Ref.
     21.03 (0.92–1.17)1.11 (0.93–1.33)1.03 (0.83–1.28)0.96 (0.75–1.24)
     31.09 (0.97–1.22)0.96 (0.80–1.14)1.31 (1.07–1.61)1.17 (0.91–1.49)
     41.16 (1.03–1.30)1.19 (1.00–1.41)1.27 (1.04–1.55)1.10 (0.87–1.41)
     51.09 (0.97–1.22)1.05 (0.89–1.25)1.25 (1.03–1.53)1.01 (0.79–1.29)
    Immigrant status
     YesRef.Ref.Ref.Ref.
     No1.24 (1.13–1.36)1.24 (1.09–1.41)1.34 (1.13–1.59)1.17 (0.93–1.48)
    Physician, n394020261222692
    Age0.99 (0.99–1.00)1.00 (0.99–1.00)0.99 (0.99–1.00)0.99 (0.99–1.00)
    Sex
     MaleRef.Ref.Ref.Ref.
     Female1 (0.91–1.09)0.97 (0.85–1.11)1 (0.85–1.19)1.12 (0.90–1.38)
    Canadian graduate
     NoRef.Ref.Ref.Ref.
     Yes1.09 (0.98–1.20)1.03 (0.88–1.21)1.11 (0.93–1.33)1.18 (0.95–1.47)
    Years in practice (per 5-yr increase)1.00 (0.94–1.07)1.07 (0.97–1.18)0.96 (0.85–1.07)1.10 (0.98–1.25)
    Roster size (per 100-patient increase)0.90 (0.83–0.96)0.83 (0.74–0.92)0.92 (0.81–1.04)1.02 (0.87–1.20)
    Practice, n41421013074
    Group size (per 10-member increase)1.12 (1.02–1.23)1.17 (1.03–1.33)*1.05 (0.90–1.22)1.08 (0.87–1.34)
    Number of after-hours services (per 500-hr increase)1.00 (0.89–1.12)0.98 (0.85–1.12)0.98 (0.83–1.16)1.05 (0.81–1.36)
    Practice model
     Not team-basedRef.Ref.Ref.Ref.
     Team-based1.23 (0.99–1.52)1.47 (1.13–1.93)1 (0.66–1.51)1.29 (0.78–2.14)
    • Note: CI = confidence interval, ICC = intraclass correlation coefficient, OR = odds ratio, Ref. = reference, RIO = Rurality Index of Ontario.

    • ↵* Unless indicated otherwise.

    • View popup
    Table 7:

    Multilevel multivariable logistic regression for patient-reported wait time for care, by geography

    VariableOR (95% CI)*
    Total sample (RIO 0–39)Large urban (RIO 0)Medium urban (RIO 1–9)Small urban (RIO 10–39)
    Main exposure
    Access bonus quintile
     1 (lowest)Ref.Ref.Ref.Ref.
     21.01 (0.85–1.20)1.11 (0.89–1.37)0.98 (0.73–1.32)0.65 (0.32–1.3)
     31.17 (0.97–1.41)1.29 (1.02–1.64)1.05 (0.75–1.47)1.00 (0.54–1.83)
     41.27 (1.05–1.55)1.32 (1.01–1.72)1.66 (1.18–2.35)1.30 (0.75–2.25)
     5 (highest)1.63 (1.32–2.00)2.00 (1.46–2.73)2.15 (1.46–3.14)1.56 (0.93–2.63)
    ICC, practice, %4.873.274.981.20
    ICC, physician, %6.164.774.9612.35
    Patient, n10 778464235422594
    Sex
     MaleRef.Ref.Ref.Ref.
     Female1.12 (1.02–1.23)1.13 (0.98–1.31)1.18 (0.99–1.40)1.08 (0.87–1.34)
    Age, yr
     ≤ 18Ref.Ref.Ref.Ref.
     19–341.50 (1.01–2.23)1.60 (0.90–2.84)1.09 (0.55–2.18)2.35 (0.92–5.98)
     35–491.48 (1.01–2.18)1.34 (0.76–2.33)1.49 (0.76–2.94)2.06 (0.83–5.10)
     50–641.50 (1.02–2.19)1.45 (0.83–2.52)1.37 (0.71–2.66)2.08 (0.85–5.09)
     65–741.90 (1.30–2.80)1.87 (1.07–3.28)1.49 (0.76–2.92)3.17 (1.28–7.82)
     ≥ 752.13 (1.44–3.16)2.03 (1.14–3.60)2.28 (1.15–4.53)2.56 (1.01–6.48)
    Education
     Some high school or lessRef.Ref.Ref.Ref.
     High school0.99 (0.82–1.19)0.94 (0.70–1.27)1.14 (0.81–1.60)0.88 (0.61–1.27)
     Some postsecondary0.85 (0.68–1.06)0.83 (0.59–1.17)0.94 (0.64–1.38)0.79 (0.50–1.25)
     College0.94 (0.78–1.14)0.96 (0.72–1.29)1.08 (0.77–1.51)0.76 (0.52–1.10)
     University0.87 (0.72–1.06)0.90 (0.67–1.20)0.93 (0.65–1.32)0.64 (0.43–0.96)
     Postgraduate0.80 (0.65–1.00)0.81 (0.59–1.10)0.90 (0.60–1.34)0.65 (0.38–1.11)
    Primary language
     OtherRef.Ref.Ref.Ref.
     English, English & French, English & other0.88 (0.71–1.10)0.88 (0.67–1.17)1.21 (0.80–1.84)0.71 (0.27–1.83)
     French0.68 (0.46–1.01)0.83 (0.48–1.42)0.78 (0.36–1.69)0.58 (0.18–1.92)
    Health status
     PoorRef.Ref.Ref.Ref.
     Fair0.92 (0.72–1.17)0.85 (0.59–1.22)0.80 (0.52–1.23)1.21 (0.74–1.98)
     Good0.95 (0.76–1.19)0.89 (0.63–1.25)0.91 (0.62–1.35)1.12 (0.71–1.75)
     Very good1.16 (0.93–1.44)0.99 (0.71–1.39)1.24 (0.84–1.84)1.29 (0.83–2.02)
     Excellent1.30 (1.02–1.65)1.18 (0.83–1.70)1.27 (0.83–1.93)1.38 (0.84–2.29)
    Income quintile
     1 (lowest)Ref.Ref.Ref.Ref.
     21.05 (0.89–1.23)1.04 (0.83–1.31)1.13 (0.83–1.54)1.04 (0.72–1.49)
     31.05 (0.90–1.23)0.96 (0.77–1.21)1.30 (0.97–1.76)0.98 (0.68–1.40)
     41.14 (0.97–1.33)1.02 (0.81–1.27)1.33 (1.00–1.78)1.31 (0.92–1.85)
     51.17 (1.01–1.37)1.04 (0.83–1.30)1.54 (1.16–2.05)1.10 (0.76–1.57)
    Immigrant status
     YesRef.Ref.Ref.Ref.
     No1.00 (0.88–1.13)0.98 (0.83–1.17)0.96 (0.76–1.2)1.33 (0.94–1.89)
    Physician, n394020261222692
    Age1.00 (1.00–1.01)1.00 (1.00–1.01)1.01 (1.00–1.02)1.00 (0.99–1.02)
    Sex
     MaleRef.Ref.Ref.Ref.
     Female0.92 (0.82–1.03)0.88 (0.75–1.03)0.94 (0.77–1.16)0.95 (0.71–1.26)
    Canadian graduate
     NoRef.Ref.Ref.Ref.
     Yes1.07 (0.94–1.21)0.93 (0.77–1.12)1.03 (0.83–1.27)1.37 (1.01–1.85)
    Years in practice (per 5-yr increase)0.90 (0.83–0.98)1.04 (0.92–1.17)0.80 (0.69–0.93)0.84 (0.70–1.01)
    Roster size (per 100-patient increase)1.03 (0.94–1.12)1.13 (0.99–1.28)0.94 (0.81–1.08)1.03 (0.83–1.27)
    Practice, n41421013074
    Group size (per 10-member increase)0.92 (0.86–0.99)1.02 (0.93–1.12)0.80 (0.70–0.91)0.89 (0.79–1.01)
    Number of after-hours services (per 500-hr increase)1.08 (1.00–1.16)1.05 (0.95–1.16)1.12 (0.99–1.28)1.13 (0.99–1.31)
    Practice model
     Not team-basedRef.Ref.Ref.Ref.
     Team-based1.1 (0.94–1.28)1.13 (0.92–1.38)1.27 (0.96–1.69)0.96 (0.71–1.31)
    • Note: CI = confidence interval, ICC = intraclass correlation coefficient, OR = odds ratio, Ref. = reference, RIO = Rurality Index of Ontario.

    • ↵* Unless indicated otherwise.

    • View popup
    Table 8:

    Multilevel multivariable logistic regression for patient-reported timeliness of wait, by geography

    VariableOR (95% CI)*
    Total sample (RIO 0–39)Large urban (RIO 0)Medium urban (RIO 1–9)Small urban (RIO 10–39)
    Main exposure
    Access bonus quintile
     1 (lowest)Ref.Ref.Ref.Ref.
     21.29 (0.98–1.69)1.13 (0.77–1.68)1.48 (0.85–2.58)0.87 (0.24–3.08)
     31.29 (0.94–1.77)0.96 (0.61–1.52)2.15 (1.16–3.99)1.62 (0.48–5.44)
     41.58 (1.16–2.13)1.39 (0.81–2.36)2.39 (1.32–4.31)1.62 (0.58–4.52)
     5 (highest)1.98 (1.38–2.82)3.01 (1.42–6.38)1.99 (1.01–3.90)2.26 (0.83–6.14)
    ICC, practice, %1.893.611.300.98
    ICC, physician, %7.936.649.9515.61
    Patient, n10 778464235422594
    Sex
     MaleRef.Ref.Ref.Ref.
     Female0.83 (0.7–1.00)0.99 (0.74–1.33)0.7 (0.49–0.98)0.67 (0.37–1.19)
    Age, yr
     ≤ 18Ref.Ref.Ref.Ref.
     19–340.44 (0.16–1.24)0.41 (0.06–2.65)0.29 (0.04–2.05)1.10 (0.08–15.61)
     35–490.48 (0.16–1.40)0.41 (0.06–2.77)0.45 (0.06–3.43)0.79 (0.05–12.52)
     50–640.58 (0.20–1.66)0.66 (0.10–4.38)0.39 (0.06–2.70)0.96 (0.06–14.32)
     65–741.08 (0.38–3.06)0.99 (0.15–6.54)0.90 (0.13–6.37)1.85 (0.12–27.32)
     ≥ 751.17 (0.42–3.28)0.89 (0.13–5.87)0.98 (0.14–6.97)3.88 (0.28–53.10)
    Education
     Some high school or lessRef.Ref.Ref.Ref.
     High school1.36 (0.93–1.97)1.85 (1.04–3.28)1.15 (0.55–2.39)1.02 (0.37–2.83)
     Some postsecondary1.42 (0.91–2.2)2.03 (0.96–4.32)1.17 (0.54–2.51)0.83 (0.23–3.06)
     College1.11 (0.79–1.57)1.57 (0.90–2.71)0.84 (0.42–1.68)1.03 (0.38–2.78)
     University1.12 (0.79–1.60)1.72 (0.99–2.98)0.78 (0.37–1.63)0.74 (0.27–2.03)
     Postgraduate1.18 (0.77–1.80)1.52 (0.83–2.78)0.95 (0.38–2.38)1.04 (0.28–3.81)
    Primary language
     OtherRef.Ref.Ref.Ref.
     English, English & French, English & other1.41 (0.96–2.08)1.24 (0.72–2.13)2.68 (1.09–6.61)1.44 (0.10–21.36)
     French1.3 (0.71–2.40)1.55 (0.45–5.31)2.5 (0.61–10.26)1.20 (0.07–20.91)
    Health status
     PoorRef.Ref.Ref.Ref.
     Fair1.00 (0.66–1.51)1.29 (0.58–2.89)0.72 (0.34–1.54)1.01 (0.34–3.05)
     Good1.39 (0.94–2.05)1.42 (0.66–3.04)1.32 (0.63–2.80)1.39 (0.42–4.61)
     Very good1.48 (0.99–2.22)1.81 (0.83–3.94)1.36 (0.67–2.76)1.11 (0.35–3.55)
     Excellent2.02 (1.31–3.10)1.79 (0.82–3.91)2.39 (1.05–5.46)2.57 (0.67–9.82)
    Income quintile
     1 (lowest)Ref.Ref.Ref.Ref.
     20.99 (0.71–1.37)0.95 (0.54–1.67)1.15 (0.64–2.09)1.09 (0.46–2.58)
     31.23 (0.91–1.66)0.86 (0.55–1.36)2.00 (1.04–3.83)1.87 (0.75–4.65)
     40.99 (0.76–1.29)0.99 (0.66–1.49)1.31 (0.77–2.21)0.80 (0.34–1.89)
     50.97 (0.74–1.26)0.89 (0.58–1.38)1.07 (0.60–1.91)1.13 (0.51–2.49)
    Immigrant status
     YesRef.Ref.Ref.Ref.
     No1.15 (0.90–1.47)1.45 (1.03–2.02)0.68 (0.38–1.20)1.63 (0.74–3.62)
    Physician, n394020261222692
    Age1.01 (1.00–1.02)1.01 (0.99–1.02)1.01 (0.99–1.03)1.03 (1.00–1.06)
    Sex
     MaleRef.Ref.Ref.Ref.
     Female1.03 (0.84–1.25)0.89 (0.66–1.21)1.57 (1.04–2.37)0.69 (0.35–1.35)
    Canadian graduate
     NoRef.Ref.Ref.Ref.
     Yes1.05 (0.85–1.31)0.94 (0.66–1.33)1.28 (0.83–1.98)0.87 (0.44–1.74)
    Years in practice (per 5-yr increase)0.91 (0.78–1.05)0.97 (0.74–1.27)0.96 (0.72–1.27)0.77 (0.55–1.08)
    Roster size (per 100-patient increase)0.85 (0.74–0.98)0.92 (0.74–1.16)0.95 (0.74–1.21)0.62 (0.37–1.03)
    Practice, n41421013074
    Group size (per 10-member increase)0.89 (0.83–0.96)0.94 (0.82–1.08)0.79 (0.67–0.92)0.88 (0.72–1.09)
    Number of after-hours services (per 500-hr increase)1.13 (1.01–1.25)1.02 (0.90–1.15)1.21 (0.99–1.49)1.32 (1.02–1.70)
    Practice model
     Not team-basedRef.Ref.Ref.Ref.
     Team-based1.27 (1.02–1.59)1.29 (0.89–1.87)1.40 (0.90–2.19)1.19 (0.65–2.18)
    • Note: CI = confidence interval, ICC = intraclass correlation coefficient, OR = odds ratio, Ref. = reference, RIO = Rurality Index of Ontario.

    • ↵* Unless indicated otherwise.

PreviousNext
Back to top

In this issue

CMAJ Open: 9 (4)
Vol. 9, Issue 4
1 Oct 2021
  • Table of Contents
  • Index by author

Article tools

Respond to this article
Print
Download PDF
Article Alerts
To sign up for email alerts or to access your current email alerts, enter your email address below:
Email Article

Thank you for your interest in spreading the word on CMAJ Open.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Primary care bonus payments and patient-reported access in urban Ontario: a cross-sectional study
(Your Name) has sent you a message from CMAJ Open
(Your Name) thought you would like to see the CMAJ Open web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Citation Tools
Primary care bonus payments and patient-reported access in urban Ontario: a cross-sectional study
Kamila Premji, Ewa Sucha, Richard H. Glazier, Michael E. Green, Walter P. Wodchis, William E. Hogg, Tara Kiran, Eliot Frymire, Thomas R. Freeman, Bridget L. Ryan
Oct 2021, 9 (4) E1080-E1096; DOI: 10.9778/cmajo.20200235

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Primary care bonus payments and patient-reported access in urban Ontario: a cross-sectional study
Kamila Premji, Ewa Sucha, Richard H. Glazier, Michael E. Green, Walter P. Wodchis, William E. Hogg, Tara Kiran, Eliot Frymire, Thomas R. Freeman, Bridget L. Ryan
Oct 2021, 9 (4) E1080-E1096; DOI: 10.9778/cmajo.20200235
Digg logo Reddit logo Twitter logo Facebook logo Google logo Mendeley logo
  • Tweet Widget
  • Facebook Like

Related Articles

  • PubMed
  • Google Scholar

Cited By...

  • No citing articles found.
  • Google Scholar

Similar Articles

Collections

  • Nonclinical
    • Health Policy
      • Organization of health care
      • Physician Supply
      • Wait Times
    • Patients
      • Patients' views
  • Clinical
    • Family Medicine, General Practice, Primary Care
      • Other family medicine

Content

  • Current issue
  • Past issues
  • Collections
  • Alerts
  • RSS

Authors & Reviewers

  • Overview for Authors
  • Preparing manuscripts
  • Manuscript Submission Checklist
  • Publication Fees
  • Forms
  • Editorial Policies
  • Editorial Process
  • Patient-Oriented Research
  • Submit a manuscript
  • Manuscript Progress
  • Submitting a letter
  • Information for Reviewers

About

  • General Information
  • Staff
  • Editorial Board
  • Advisory Panel
  • Contact Us
  • Advertising
  • Media
  • Reprints
  • Copyright and Permissions
  • Accessibility
  • CMA Civility Standards
CMAJ Group

Copyright 2023, CMA Impact Inc. or its licensors. All rights reserved. ISSN 2291-0026

All editorial matter in CMAJ OPEN represents the opinions of the authors and not necessarily those of the Canadian Medical Association or its subsidiaries.

To receive any of these resources in an accessible format, please contact us at CMAJ Group, 500-1410 Blair Towers Place, Ottawa ON, K1J 9B9; p: 1-888-855-2555; e: [email protected].

View CMA's Accessibility policy.

 

Powered by HighWire