Skip to main content

Main menu

  • Home
  • Content
    • Current issue
    • Past issues
    • Collections
  • About
    • General information
    • Staff
    • Editorial board
    • Open access
    • 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
  • About
    • General information
    • Staff
    • Editorial board
    • Open access
    • Contact
  • RSS feeds
Research
Open Access

The effect of comorbidity on primary care use during breast cancer chemotherapy: a population-based retrospective cohort study using CanIMPACT data

Rachel L. Walsh, Aisha K. Lofters, Rahim Moineddin, Monika K. Krzyzanowska and Eva Grunfeld
April 01, 2021 9 (2) E331-E341; DOI: https://doi.org/10.9778/cmajo.20200166
Rachel L. Walsh
Department of Family and Community Medicine (Walsh), Sunnybrook Health Sciences Centre; Department of Family & Community Medicine (Walsh, Lofters, Grunfeld), University of Toronto; Department of Family & Community Medicine (Lofters), Women’s College Hospital; Dalla Lana School of Public Health (Moineddin), University of Toronto; ICES Central (Moineddin); Department of Medical Oncology & Hematology (Krzyzanowska), Princess Margaret Cancer Centre, University Health Network; Institute of Health Policy, Management and Evaluation (Krzyzanowska), University of Toronto; Ontario Institute for Cancer Research (Grunfeld), Toronto, Ont.
MD MSc
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Aisha K. Lofters
Department of Family and Community Medicine (Walsh), Sunnybrook Health Sciences Centre; Department of Family & Community Medicine (Walsh, Lofters, Grunfeld), University of Toronto; Department of Family & Community Medicine (Lofters), Women’s College Hospital; Dalla Lana School of Public Health (Moineddin), University of Toronto; ICES Central (Moineddin); Department of Medical Oncology & Hematology (Krzyzanowska), Princess Margaret Cancer Centre, University Health Network; Institute of Health Policy, Management and Evaluation (Krzyzanowska), University of Toronto; Ontario Institute for Cancer Research (Grunfeld), Toronto, Ont.
MD PhD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Rahim Moineddin
Department of Family and Community Medicine (Walsh), Sunnybrook Health Sciences Centre; Department of Family & Community Medicine (Walsh, Lofters, Grunfeld), University of Toronto; Department of Family & Community Medicine (Lofters), Women’s College Hospital; Dalla Lana School of Public Health (Moineddin), University of Toronto; ICES Central (Moineddin); Department of Medical Oncology & Hematology (Krzyzanowska), Princess Margaret Cancer Centre, University Health Network; Institute of Health Policy, Management and Evaluation (Krzyzanowska), University of Toronto; Ontario Institute for Cancer Research (Grunfeld), Toronto, Ont.
PhD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Monika K. Krzyzanowska
Department of Family and Community Medicine (Walsh), Sunnybrook Health Sciences Centre; Department of Family & Community Medicine (Walsh, Lofters, Grunfeld), University of Toronto; Department of Family & Community Medicine (Lofters), Women’s College Hospital; Dalla Lana School of Public Health (Moineddin), University of Toronto; ICES Central (Moineddin); Department of Medical Oncology & Hematology (Krzyzanowska), Princess Margaret Cancer Centre, University Health Network; Institute of Health Policy, Management and Evaluation (Krzyzanowska), University of Toronto; Ontario Institute for Cancer Research (Grunfeld), Toronto, Ont.
MD MPH
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Eva Grunfeld
Department of Family and Community Medicine (Walsh), Sunnybrook Health Sciences Centre; Department of Family & Community Medicine (Walsh, Lofters, Grunfeld), University of Toronto; Department of Family & Community Medicine (Lofters), Women’s College Hospital; Dalla Lana School of Public Health (Moineddin), University of Toronto; ICES Central (Moineddin); Department of Medical Oncology & Hematology (Krzyzanowska), Princess Margaret Cancer Centre, University Health Network; Institute of Health Policy, Management and Evaluation (Krzyzanowska), University of Toronto; Ontario Institute for Cancer Research (Grunfeld), Toronto, Ont.
MD DPhil
  • 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:

    Mean primary care physician (PCP) visits per month before diagnosis and during adjuvant chemotherapy. D[n] is the number of months before diagnosis date and T[n] is the number of months from start of adjuvant chemotherapy. Note: Median number of days between date of diagnosis and start of adjuvant chemotherapy was 91 days.

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

    Mean primary care physician (PCP) visits per month before diagnosis and during adjuvant chemotherapy, by mental health history. D[n] is the number of months before diagnosis date and T[n] is the number of months from start of adjuvant chemotherapy. Note: Median number of days between date of diagnosis and start of adjuvant chemotherapy was 91 days.

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

    Mean primary care physician (PCP) visits per month before diagnosis and during adjuvant chemotherapy, by physical comorbidity group. D[n] is the number of months before diagnosis date and T[n] is the number of months from start of adjuvant chemotherapy. Note: low comorbidity = 0–5 Aggregated Diagnosis Groups (ADGs), medium comorbidity = 6–9 ADGs, high comorbidity = 10+ ADGs. Median number of days between date of diagnosis and start of adjuvant chemotherapy was 91 days.

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

    Relative increase in primary care physician visit rates from baseline to treatment periods (rate ratio), by mental health history and physical comorbidity groups and adjusted for age, immigration status, income, rurality, regional health district, continuity of primary care and primary care enrolment model. Note: low comorbidity = 0–5 Aggregated Diagnosis Groups (ADGs), medium comorbidity = 6–9 ADGs, high comorbidity = 10+ ADGs. 42 (0.3%) participants with missing values for at least 1 demographic characteristic were excluded from the multivariable modelling. Error bars represent 95% confidence intervals.

Tables

  • Figures
    • View popup
    Table 1:

    Physical and mental comorbidity levels stratified by cohort characteristics

    CharacteristicTotal, no. (%)
    n = 12 781
    Physical comorbidity level, no. (%)p valueMental health history, no. (%)p value
    0–5 ADGs (low)
    n = 7287
    6–9 ADGs (medium)
    n = 4425
    ≥ 10 ADGs (high)
    n = 1069
    Yes
    n = 4127
    No
    n = 8654
    Age at diagnosis, yr
     < 401102 (8.6)639 (8.8)374 (8.5)89 (8.3)< 0.001349 (8.5)753 (8.7)0.008
     40–493481 (27.2)2177 (29.9)1092 (24.7)212 (19.8)1134 (27.5)2347 (27.1)
     50–594225 (33.1)2500 (34.3)1417 (32.0)308 (28.8)1404 (34.0)2821 (32.6)
     60–693045 (23.8)1581 (21.7)1155 (26.1)309 (28.9)985 (23.9)2060 (23.8)
     70–74607 (4.7)262 (3.6)239 (5.4)106 (9.9)180 (4.4)427 (4.9)
     > 74321 (2.5)128 (1.8)148 (3.3)45 (4.2)75 (1.8)246 (2.8)
    Urban or rural residence
     Urban11 189 (87.5)6254 (85.8)3957 (89.4)978 (91.5)< 0.0013677 (89.1)7512 (86.8)0.06
     Rural699 (5.5)450 (6.2)213 (4.8)36 (3.4)199 (4.8)500 (5.8)
      Remote596 (4.7)392 (5.4)168 (3.8)36 (3.4)170 (4.1)426 (4.9)
      Very remote292–297 (2.3)187–192 (2.6)85–90 (1.9–2.0)15–20 (1.4–1.9)80–85 (1.9–2.1)210–215 (2.4–2.5)
     Unknown††††††
    Immigration status*
     Nonimmigrants11 075 (86.7)6384 (87.6)3775 (85.3)916 (85.7)0.0013636 (88.1)7439 (86.0)< 0.001
     Immigrants1706 (13.3)903 (12.4)650 (14.7)153 (14.3)491 (11.9)1215 (14.0)
    Neighbourhood income quintile0.0730.09
     1 (lowest)2020 (15.8)1121 (15.4)705 (15.9)194 (18.1)685 (16.6)1335 (15.4)
     22384 (18.7)1376 (18.9)792 (17.9)216 (20.2)786 (19.0)1598 (18.5)
     32523 (19.7)1433 (19.7)879–883 (19.8–19.9)207–211 (19.4–19.7)839 (20.3)1684 (19.5)
     42819 (22.1)1598 (21.9)980 (22.1)241 (22.5)867 (21.0)1952 (22.6)
     5 (highest)2994 (23.4)1733 (23.8)1051 (23.8)210 (19.6)934 (22.6)2060 (23.8)
     Unknown41 (0.3)26 (0.4)10–15 (0.2–0.3)†16 (0.4)25 (0.3)
    Baseline continuity of care
     0 visit800 (6.3)788 (10.8)7–12 (0.2–0.3)†< 0.00118 (0.4)782 (9.0)< 0.001
     1–2 visits1536 (12.0)1472 (20.2)59–64 (1.3–1.4)†149 (3.6)1387 (16.0)
     UPC ≤ 0.75 (low)3914 (30.6)1773 (24.3)1661 (37.5)480 (44.9)1486 (36.0)2428 (28.1)
     UPC > 0.75 (high)6531 (51.1)3254 (44.7)2695 (60.9)582 (54.4)2474 (59.9)4057 (46.9)
    Primary care practice model
     Straight FFS1887 (14.8)1193 (16.4)568 (12.8)126 (11.8)< 0.001562 (13.6)1325 (15.3)< 0.001
     Enhanced FFS6281 (49.1)3212 (44.1)2394 (54.1)675 (63.1)2213 (53.6)4068 (47.0)
     Capitation2235 (17.5)1326 (18.2)763 (17.2)146 (13.7)714 (17.3)1521 (17.6)
     Team-based capitation2206 (17.3)1434 (19.7)658 (14.9)114 (10.7)608 (14.7)1598 (18.5)
     Other172 (1.3)122 (1.7)42 (0.9)8 (0.7)30 (0.7)142 (1.6)
    Regional health district (LHIN)< 0.001< 0.001
     Erie St. Clair713 (5.6)396 (5.4)256 (5.8)61 (5.7)259 (6.3)454 (5.2)
     South West992 (7.8)623 (8.5)302 (6.8)67 (6.3)312 (7.6)680 (7.9)
     Waterloo Wellington654 (5.1)436 (6.0)188 (4.2)30 (2.8)180 (4.4)474 (5.5)
     Hamilton Niagara Haldimand Brant1468 (11.5)906 (12.4)471 (10.6)91 (8.5)454 (11.0)1014 (11.7)
     Central West543 (4.2)248 (3.4)226 (5.1)69 (6.5)180 (4.4)363 (4.2)
     Mississauga Halton750 (5.9)393 (5.4)273 (6.2)84 (7.9)226 (5.5)524 (6.1)
     Toronto Central1061 (8.3)554 (7.6)405 (9.2)102 (9.5)398 (9.6)663 (7.7)
     Central1784 (14.0)886 (12.2)712 (16.1)186 (17.4)550 (13.3)1234 (14.3)
     Central East1710 (13.4)923 (12.7)615 (13.9)172 (16.1)570 (13.8)1140 (13.2)
     South East520 (4.1)349 (4.8)137 (3.1)34 (3.2)139 (3.4)381 (4.4)
     Champlain1335 (10.4)784 (10.8)453 (10.2)98 (9.2)460 (11.1)875 (10.1)
     North Simcoe Muskoka518–522 (4.1)325–329 (4.5)170–174 (3.8–3.9)14–18 (1.3–1.7)177–181 (4.3–4.4)338–342 (3.9–4.0)
     North East478 (3.7)301 (4.1)146 (3.3)31 (2.9)157 (3.8)321 (3.7)
     North West252 (2.0)157 (2.2)69 (1.6)26 (2.4)62 (1.5)190 (2.2)
     Unknown††††††
    Mental health history4127 (32.3)1,730 (23.7)1810 (40.9)587 (54.9)< 0.001
    Physical ADGs
     0–57287 (57.01)1730 (41.9)5557 (64.2)< 0.001
     6–94425 (34.6)1810 (43.9)2615 (30.2)
     ≥ 101069 (8.4)587 (14.2)482 (5.6)
    • Note: ADGs = Aggregated Diagnosis Groups, FFS = fee for service, LHIN = local health integration network, UPC = usual provider of care index.

    • ↵* Nonimmigrants includes Canadian-born citizens or immigrants arriving to Canada before 1985.

    • ↵† Denotes too few cases to report. Ranges provided in associated rows or columns to prevent reidentification of small cells as per ICES policy.

    • View popup
    Table 2:

    Mean PCP visits (per 6 mo) during baseline and treatment periods stratified by cohort characteristics

    CharacteristicTotal, no. (%)
    n = 12 781*
    Baseline PCP visits, mean ± SD†p valueTreatment PCP visits, mean ± SDp valueDifference (treatment – baseline), mean ± SDp value
    Total2.3 ± 2.53.4 ± 3.41.0 ± 3.3
    Age at diagnosis, yr< 0.0001< 0.00010.3662
     < 401102 (8.6)2.2 ± 2.23.0 ± 3.70.9 ± 3.6
     40–493481 (27.2)2.1 ± 2.33.1 ± 3.11.0 ± 3.1
     50–594225 (33.1)2.3 ± 2.63.3 ± 3.11.0 ± 3.2
     60–693045 (23.8)2.5 ± 2.53.6 ± 3.41.0 ± 3.4
     70–74607 (4.7)3.1 ± 2.64.2 ± 3.81.0 ± 3.3
     > 74321 (2.5)3.0 ± 2.74.4 ± 4.91.3 ± 4.8
    Urban or rural residence< 0.0001< 0.0001< 0.0001
     Urban11 189 (87.5)2.4 ± 2.53.3 ± 3.30.9 ± 3.2
     Rural699 (5.5)2.0 ± 2.23.5 ± 3.61.5 ± 3.7
      Remote596 (4.7)1.7 ± 1.73.5 ± 3.81.8 ± 3.8
      Very remote292–297 (2.3)1.7 ± 1.94.7 ± 4.22.9 ± 4.3
      Unknown≤ 5§§§
     Unknown≤ 5§§§
    Immigration status‡0.04390.25780.0079
     Nonimmigrants11 075 (86.7)2.3 ± 2.53.4 ± 3.41.0 ± 3.3
     Immigrants1706 (13.3)2.5 ± 2.23.3 ± 3.10.8 ± 3.1
    Neighbourhood income quintile0.0028< 0.00010.2246
     1 (lowest)2020 (15.8)2.4 ± 2.33.5 ± 3.61.1 ± 3.5
     22384 (18.7)2.3 ± 2.43.5 ± 3.41.1 ± 3.3
     32523 (19.7)2.4 ± 2.53.5 ± 3.31.0 ± 3.2
     42819 (22.1)2.3 ± 2.43.4 ± 3.31.0 ± 3.3
     5 (highest)2994 (23.4)2.2 ± 2.73.1 ± 3.30.9 ± 3.3
     Unknown41 (0.3)2.2 ± 1.53.9 ± 3.51.7 ± 3.2
    Breast cancer stage0.78910.84860.5796
     I2839 (22.2)2.3 ± 2.23.4 ± 3.21.1 ± 3.2
     II7311 (57.2)2.4 ± 2.43.3 ± 3.31.0 ± 3.2
     III2631 (20.6)2.3 ± 2.93.4 ± 3.71.0 ± 3.7
    Baseline continuity of care< 0.0001< 0.0001< 0.0001
     0 visit800 (6.3)0.0 ± 0.02.1 ± 2.72.1 ± 2.7
     1–2 visits1536 (12.0)0.4 ± 0.12.1 ± 2.41.8 ± 2.4
     UPC ≤ 0.75 (low)3914 (30.6)2.8 ± 2.53.6 ± 3.50.7 ± 3.6
     UPC > 0.75 (high)6531 (51.1)2.8 ± 2.53.7 ± 3.40.9 ± 3.3
    Primary care practice model< 0.0001< 0.0001< 0.0001
     Straight FFS1887 (14.8)2.1 ± 2.73.2 ± 3.41.1 ± 3.4
     Enhanced FFS6281 (49.1)2.7 ± 2.73.6 ± 3.40.9 ± 3.3
     Capitation2235 (17.5)2.1 ± 2.13.0 ± 3.10.9 ± 3.1
     Team-based capitation2206 (17.3)1.7 ± 1.93.2 ± 3.31.5 ± 3.4
     Other172 (1.3)1.3 ± 1.62.4 ± 3.21.1 ± 3.0
    Regional health district (LHIN)< 0.0001< 0.0001< 0.0001
     Erie St. Clair713 (5.6)2.4 ± 2.53.4 ± 3.71.1 ± 3.5
     South West992 (7.8)2.1 ± 2.03.8 ± 3.21.8 ± 3.2
     Waterloo Wellington654 (5.1)1.7 ± 1.82.7 ± 3.01.0 ± 2.7
     Hamilton Niagara1468 (11.5)2.1 ± 2.23.5 ± 3.11.4 ± 3.0
     Haldimand Brant
     Central West543 (4.2)3.0 ± 2.43.5 ± 3.10.5 ± 3.1
     Mississauga Halton750 (5.9)2.6 ± 2.42.8 ± 3.10.2 ± 3.0
     Toronto Central1061 (8.3)2.5 ± 3.23.0 ± 3.30.5 ± 3.2
     Central1784 (14.0)2.7 ± 2.73.2 ± 3.00.5 ± 3.3
     Central East1710 (13.4)2.6 ± 2.43.4 ± 3.50.9 ± 3.4
     South East520 (4.1)2.0 ± 2.13.1 ± 3.51.2 ± 3.5
     Champlain1335 (10.4)2.1 ± 2.63.9 ± 3.31.8 ± 2.9
     North Simcoe Muskoka518–522 (4.1)2.3 ± 2.93.0 ± 2.70.7 ± 3.5
     North East478 (3.7)2.0 ± 1.93.1 ± 3.91.1 ± 3.6
     North West252 (2.0)1.9 ± 1.84.4 ± 5.62.5 ± 5.6
     Unknown≤ 5§§§
    Physical comorbidities< 0.0001< 0.0001< 0.0001
     0–5 physical ADGs (low)7287 (57.1)1.4 ± 1.72.8 ± 3.01.4 ± 3.0
     6–9 physical ADGs (medium)4425 (34.6)3.2 ± 2.33.8 ± 3.40.7 ± 3.4
     ≥ 10 physical ADGs (high)1069 (8.4)5.6 ± 3.45.3 ± 4.2–0.2 ± 4.0
    Mental health history< 0.0001< 0.0001< 0.0001
     Yes4127 (32.3)3.5 ± 3.14.1 ± 3.80.6 ± 3.7
     No8654 (67.7)1.8 ± 1.93.0 ± 3.11.2 ± 3.1
    • Note: ADGs = Aggregated Diagnosis Groups, FFS = fee for service, LHIN = local health integration network, PCP = primary care practitioner, SD = standard deviation, UPC = usual provider of care index.

    • ↵* Some participants (n = 72) died during the 6-month treatment period and others (n = 319) were not eligible for Ontario Health Insurance Plan during the full 24-month baseline period. We included an offset term in our multivariable model to account for differences in the exposure time of the baseline and treatment periods.

    • ↵† Mean baseline PCP visits divided by 4 to obtain 6-month visit rate.

    • ↵‡ Nonimmigrants includes Canadian-born citizens or immigrants arriving to Canada before 1985.

    • ↵§ Denotes too few cases to report.

    • View popup
    Table 3:

    Top 5 diagnostic codes for PCP visits during baseline and treatment periods

    RankBaseline periodTreatment period
    Diagnostic codeNo. (%)
    n = 119 294
    Diagnostic codeNo. (%)
    n = 42 748
    1Hypertension10 951 (9.18)Breast cancer (female)14 097 (32.98)
    2Anxiety8533 (7.15)Anxiety2686 (6.28)
    3Annual health examination5606 (4.70)Hypertension1757 (4.11)
    4URI4844 (4.06)Other ill-defined conditions, general symptoms1429 (3.34)
    5Diabetes4696 (3.94)URI1301 (3.04)
    • Note: PCP = primary care physician, URI = upper respiratory infection.

PreviousNext
Back to top

In this issue

CMAJ Open: 9 (2)
Vol. 9, Issue 2
1 Apr 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.
The effect of comorbidity on primary care use during breast cancer chemotherapy: a population-based retrospective cohort study using CanIMPACT data
(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
The effect of comorbidity on primary care use during breast cancer chemotherapy: a population-based retrospective cohort study using CanIMPACT data
Rachel L. Walsh, Aisha K. Lofters, Rahim Moineddin, Monika K. Krzyzanowska, Eva Grunfeld
Apr 2021, 9 (2) E331-E341; DOI: 10.9778/cmajo.20200166

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
The effect of comorbidity on primary care use during breast cancer chemotherapy: a population-based retrospective cohort study using CanIMPACT data
Rachel L. Walsh, Aisha K. Lofters, Rahim Moineddin, Monika K. Krzyzanowska, Eva Grunfeld
Apr 2021, 9 (2) E331-E341; DOI: 10.9778/cmajo.20200166
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like

Related Articles

  • PubMed
  • Google Scholar

Cited By...

  • Emergency department use before cancer diagnosis in Ontario, Canada: a population-based study
  • Google Scholar

Similar Articles

Collections

  • Clinical
    • Oncology
      • Breast Cancer
    • Mental health
    • Family Medicine, General Practice, Primary Care
      • Other family medicine
    • Women's Health
      • Other women's health
  • Nonclinical
    • Epidemiology
      • Socioeconomic determinants of health

Content

  • Current issue
  • Past issues
  • Collections

About

  • General Information
  • Staff
  • Editorial Board
  • Advisory Panel
  • Contact Us
  • Reprints
  • Copyright and Permissions
CMAJ Group

Copyright 2025, 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].

CMA Civility, Accessibility, Privacy

 

 

Powered by HighWire