Skip to main content

Main menu

  • Home
  • Current Issue
  • Content
    • Current Issue
    • Early Access
    • Multimedia
    • Podcast
    • Collections
    • Past Issues
    • Articles by Subject
    • Articles by Type
    • Supplements
    • Plain Language Summaries
    • Calls for Papers
  • Info for
    • Authors
    • Reviewers
    • Job Seekers
    • Media
  • About
    • Annals of Family Medicine
    • Editorial Staff & Boards
    • Sponsoring Organizations
    • Copyrights & Permissions
    • Announcements
  • Engage
    • Engage
    • e-Letters (Comments)
    • Subscribe
    • Podcast
    • E-mail Alerts
    • Journal Club
    • RSS
    • Annals Forum (Archive)
  • Contact
    • Contact Us
  • Careers

User menu

  • My alerts

Search

  • Advanced search
Annals of Family Medicine
  • My alerts
Annals of Family Medicine

Advanced Search

  • Home
  • Current Issue
  • Content
    • Current Issue
    • Early Access
    • Multimedia
    • Podcast
    • Collections
    • Past Issues
    • Articles by Subject
    • Articles by Type
    • Supplements
    • Plain Language Summaries
    • Calls for Papers
  • Info for
    • Authors
    • Reviewers
    • Job Seekers
    • Media
  • About
    • Annals of Family Medicine
    • Editorial Staff & Boards
    • Sponsoring Organizations
    • Copyrights & Permissions
    • Announcements
  • Engage
    • Engage
    • e-Letters (Comments)
    • Subscribe
    • Podcast
    • E-mail Alerts
    • Journal Club
    • RSS
    • Annals Forum (Archive)
  • Contact
    • Contact Us
  • Careers
  • Follow annalsfm on Twitter
  • Visit annalsfm on Facebook
Research ArticleOriginal Research

Managing Chronic Disease in Ontario Primary Care: The Impact of Organizational Factors

Grant M. Russell, Simone Dahrouge, William Hogg, Robert Geneau, Laura Muldoon and Meltem Tuna
The Annals of Family Medicine July 2009, 7 (4) 309-318; DOI: https://doi.org/10.1370/afm.982
Grant M. Russell
MBBS, FRACGP, MFM, PhD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Simone Dahrouge
MSc
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
William Hogg
MSc, MClSc, MD, FCFP
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Robert Geneau
PhD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Laura Muldoon
MD, MPH, FCFP
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Meltem Tuna
PhD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • eLetters
  • Info & Metrics
  • PDF
Loading

Article Figures & Data

Tables

  • Additional Files
    • View popup
    Table 1.

    Comparing the Features of the Models in 2005–2006

    CharacteristicCommunity Health CENTER (CHC)Fee for Service (FFS)Family Health Groups (FHG)aFamily Health Network (FHN)Health Service Organization (HSO)
    Adapted from https://www.oma.org/PC/PCRComparisonJan0807.pdf (PCRComparisonJan0807.pdf).
    THAS = Telephone Health Advisory Service, a patient telephone advisory system for which physicians are required to provide on-call services 24 hours a day, 7 days a week.
    aLate in 2004, the Ontario Ministry of Health (MOH) created a new model of care, the FHG, to which FFS practices could transition. A family health group (FHG) is a collaborative comprehensive primary care delivery model involving 3 or more physicians practicing together. These physicians need not be located in the same physical office space, but must be within reasonable distance of each other. FFS practices converted to this new model quickly, so that by early 2006 most FFS practices had become FHGs, and it became evident that the great majority would transition by the year end.
    bUnder capitation remuneration, family physicians received a fixed monthly fee per patient enrolled, independent of the number of visits made to the practice by that patient. The capitation fee is based on the enrolled patient sex and age. FHN physicians receive an additional 10% of the FFS structure for each visit. The latter is intended to allow better monitoring of services delivered. In 2008 all HSO were converted to family health organizations. Under that model, the practices today also receive 10% of the FFS structure for each visit.
    cThe base capitation rate is reduced to 50% for patients enrolled to a clinician with a practice size exceeding 2,400.
    dEach physician is required to provide at least 1, 3-hour session outside regular hours (evening/weekend) per week (up to 5 sessions per group/network/organization).
    eAn incentive bonus reduced in relation to number of visits patients make to nonspecialists outside the FHN.
    fA penalty incurred from the capitation fee for visits patients make to nonspecialists outside the FHN. Today, HSO practices are eligible for the access bonus are not subject to negation.
    gMultidisciplinarity refers to the presence of allied health professionals (eg, physiotherapist, social worker, and pharmacist), excluding nursing staff, but including nurse-practitioners.
    Year introduced1970s–200420011970s
    Group sizeGroup practice, size unspecified1 PhysicianMinimum 3Minimum 3Minimum 3
    Physician remunerationSalaryFFSFFS and incentivesCapitationb with a 10% FFS component, and incentivesCapitationb and incentives
    Patient enrollmentRequiredNot requiredRequiredRequiredRequired
    No roster size limitNo roster size limitDisincentive to enroll >2,400cDisincentive to enroll >2,400c
    AccessNo specified requirementsNo specified requirementsTHASTHASTHAS
    Extended hourseExtended hoursdExtended hoursd
    Access bonuseeAccess negationf
    MultidisciplinaritygExtensiveNoneNoneSomeSome
    Assistance for information technologySomeNoneNoneYesNone
    Objectives/prioritiesResponsiveness to population needs, multidisciplinarity, prevention, focus on underserved, community governed18–Accessibility19Accessibility, comprehensiveness, doctor- nurse collaboration, use of technologyResponsiveness to population needs, multidisciplinarity, health promotion, cost effectiveness20
    • View popup
    Table 2.

    Indicators Individually Reported

    ManeuversDiabetes21,22CAD23,24CHF25,26Hypertension27
    ACEI/ARB = angiotensin-converting enzyme inhibitor/angiotensin receptor blockers; HbA1c=hemoglobin A1c.
    aUsed to calculate disease score. Scoring method: the chronic disease management score is calculated for patients suffering from at least 1 of the chronic diseases listed above. Each eligible condition’s maneuvers are assigned a 1 if the maneuver was followed (or 0.5 if HbA1c test in the previous year was done only once rather than twice) or a 0 if it was not. For each condition the ratio of maneuvers followed is estimated. Finally, a simple (not weighted) average of the applicable con
    dition scores is calculated to obtain the patient’s chronic disease management score. bTarget blood pressure for patients with diabetes is set at 130/80 mm Hg and 140/90 mm Hg for other patients.
    Foot examination in previous 2 yearsXa
    Eye examination in previous 2 yearsXa
    ACEI/ARB in previous 2 yearsXaXa
    2 HbA1c tests in the previous 1 yearXa
    Target blood pressure in past 6 monthsbX
    Average blood pressure in past 6 monthsX
    Aspirin in previous 2 yearsXa
    β Blocker in previous 2 yearsXaXa
    Statin in previous 2 yearsXa
    Target HbA1c (<7.0%)X
    Average HbA1cX
    • View popup
    Table 3.

    Patient, Clinician, and Practice Characteristics by Care Model

    Practice ModelAssociation With CDMa
    CharacteristicCHCFFSFHNHSOβPValue
    CDM = chronic disease management; CFPC = The College of Family Physicians of Canada; CHC = community health center; FSS = fee for service; FHN = family health network; HSO=health service organization.
    aResult of unadjusted regression analysis between CDM score and each variable separately.
    bIncludes all charts in sample meeting criteria for diabetes, coronary artery disease, congestive hearth failure, and hypertension.
    cThe relationship between CDM and age is best represented by the following second-order equation: age β = 0.027+age2. β = 0.00019.
    dIncludes registered practical nurses, nurses, and nursing assistants.
    Patients included in CDM score120115138141––
    Diabetes, n82698082––
    Coronary artery disease, n50577284––
    Congestive heart failure, n8151519––
    Hypertension, n201221257236––
    Chronic diseases, average, nb1.81.81.92.00.043.019
    Age, yc59.662.663.865.10.0022.016
    Sex, male, %394949500.057.027
    Practice profile n (% response)35 (69)35 (23)35 (37)32 (49)
    Solo practices, %02637380.0041.87
    Practice size >4 family physicians, %1714403−0.044.188
    Practice full-time equivalent, n
        Family physicians3.02.43.61.7−0.0039.50
        Nurse-practitioners2.50.10.30.20.035.001
        Nursesd2.70.61.91.00.012.19
    Presence of nurse-practitioner, %1008.631.418.80.097<.001
    No. of patients per family physician, ×1,0001.31.81.52.0−0.032.033
    Booking time for routine visit, min251314140.0063.004
    Setting
        Hospital within 10 km71859484−0.031.35
        Rurality index14.212.616.28.0−0.0010.16
    Length of practice operation, y18.316.424.426.70.00029.80
    Information technologies, %
        Electronic patient records29145744−0.021.44
        Electronic reminder system261446280.036.19
    Clinician profile, n182588142
    Years since graduation, n192223290.0021.15
    Female clinician, %58454126−0.023.47
    Foreign-trained clinician, %917314−0.0065.90
    Clinicians with CFPC degree, %79857868−0.0017.96
    • View popup
    Table 4.

    Chronic Disease Management Measures Across Models

    MeasuresCHCFFSFHNHSOPValue
    ACEI/ARB = antiotensin-converting enzyme inhibitors/antiotensin receptor blockers; CHC = community health center; FFS = fee for service; FHN = family health network; HbA1c = hemoglobin A1c; HSO = health service organization.
    Note: Values, unless otherwise stated, are expressed as percentage of charts on which the individual manoeuvre was noted.
    aGenerated from contingency table using Pearson χ2 statistic.
    bGenerated with analysis of variance.
    cResult of regression analysis with only model dummy variables.
    dP <.01 compared with CHC as reference.
    eP <.001 compared with CHC as reference.
    fP <.05 compared with CHC as a reference.
    gResult of regression analysis with model dummy variables and adjusted for patient age and sex.
    hPercentage of patients with HbA1c ≤ 7.0
    iPercentage of patients with average target blood pressure in previous 6 months. Target blood pressure was 130/80 mm Hg for patients with diabetes and 140/90 mm Hg for all others.
    jP <.05 compared to HSO as reference.
    kP <.001 compared to HSO as reference.
    Process measures
    Diabetes, %
        Foot examination documented in previous 2 y63293939<.001a
        Eye examination in previous 2 y61443837.005a
        ACEI/ARB in previous 2 y71646573.536a
        2 HbA1c tests in previous 1 y73575448.007a
        Overall diabetes score69525354<.001b
    Coronary artery disease, %
        Aspirin documented in previous 2 y80757275.81a
        β-Blocker documented in previous 2 y80676273.18a
        Statin documented in previous 2 y76816476.14a
        Overall coronary artery disease score79746675.11b
    Congestive heart failure, %
        ACEI/ARB in previous 2 y63939384.17a
        β-Blocker in previous 2 y50474768.51a
        Overall congestive heart failure score56707076.56b
    Overall chronic disease management score, %
    Total score, mean72616064.003b
    Unadjusted difference in scorecRef−11d−12e−8f
    Adjusted difference in scoregRef−13e−15e−10d
    Outcome measures: intermediate clinical outcome
    Diabetes
        Target HbA1c, %h56546155.83a
        Last HbA1c level, mean %7.37.16.87.2.23b
    Hypertension
        Target blood pressure, %i38403944.65a
        Systolic blood pressure, mean, mm Hg138j135.2137135.3.055b
        Diastolic blood pressure, mean, mm Hg81.2j80.4k80.1k76.7.007b
    • View popup
    Table 5.

    Organizational Factors Independently Associated With Chronic Disease Management

    Practice Profile PredictorsβPValueConfidence Interval
    Note: Results of regression model showing the impact of each factor on chronic disease management performance. The model is adjusted for patient age and sex.
    aPractices hosting more than 4 family physicians.
    bNo. of patients per family physician (×1,000).
    Presence of nurse-practitioner0.101<.0010.051 to 0.152
    Large practicesa−0.067.040−0.13 to −0.003
    Patient loadb−0.032.028−0.060 to −0.004
    • View popup
    Table 6.

    Organizational Factors Independently Associated With Chronic Disease Management Across Models (β Represented Only)

    Practice Profile PredictorsOverallCHCFFSFHNHSO
    CHC = Community Health Center; FFS = fee for service; FHN = family health network; HSO = health service organization.
    Note: Results of regression model showing the impact of each factor on chronic disease management performance. The model is adjusted for patient age and sex.
    aAll participating CHCs hosted nurse-practitioners.
    bPractices hosting more than 4 family physicians.
    cNo. of patients per family physician ×1,000.
    Presence of nurse-practitioner0.101–a0.0620.0540.060
    Large practicesb−0.067−0.125−0.0760.0042−0.087
    Patient loadc−0.0320.021−0.069−0.0037−0.026

Additional Files

  • Tables
  • The Article in Brief

    Managing Chronic Disease in Ontario Primary Care: The Impact of Organizational Factors

    Grant M. Russell , and colleagues

    Background Primary care is well-suited to treating patients with chronic diseases, but there are many differences in how chronic disease management programs and services are delivered. This study analyzes the impact of different primary care models and practice features on chronic disease management in Ontario, Canada.

    What This Study Found Community health centers provided superior chronic disease management because of longer patient visits and collaboration with other professionals. Across all practice types, regardless of model, what accounted most for high-quality management was the presence of a nurse-practitioner, smaller practices, and lower patient load. Quality of care decreases with patient load and in practices with more than 4 full-time-equivalent family physicians. There is no evidence that a practice's use of electronic medical records influences the quality of chronic disease management.

    Implications

    • These findings suggest that having a nurse-practitioner and the organization of the primary care team influences the delivery of quality care.
    • Further research should examine the effects of larger practices and greater patient-physician ratios on quality care.
PreviousNext
Back to top

In this issue

The Annals of Family Medicine: 7 (4)
The Annals of Family Medicine: 7 (4)
Vol. 7, Issue 4
1 Jul 2009
  • Table of Contents
  • Index by author
  • In Brief
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on Annals of Family Medicine.

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.
Managing Chronic Disease in Ontario Primary Care: The Impact of Organizational Factors
(Your Name) has sent you a message from Annals of Family Medicine
(Your Name) thought you would like to see the Annals of Family Medicine web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
5 + 3 =
Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.
Citation Tools
Managing Chronic Disease in Ontario Primary Care: The Impact of Organizational Factors
Grant M. Russell, Simone Dahrouge, William Hogg, Robert Geneau, Laura Muldoon, Meltem Tuna
The Annals of Family Medicine Jul 2009, 7 (4) 309-318; DOI: 10.1370/afm.982

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Get Permissions
Share
Managing Chronic Disease in Ontario Primary Care: The Impact of Organizational Factors
Grant M. Russell, Simone Dahrouge, William Hogg, Robert Geneau, Laura Muldoon, Meltem Tuna
The Annals of Family Medicine Jul 2009, 7 (4) 309-318; DOI: 10.1370/afm.982
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • INTRODUCTION
    • METHODS
    • RESULTS
    • DISCUSSION
    • Acknowledgments
    • Footnotes
    • REFERENCES
  • Figures & Data
  • eLetters
  • Info & Metrics
  • PDF

Related Articles

  • PubMed
  • Google Scholar

Cited By...

  • Who gets access to an interprofessional team-based primary care programme for patients with complex health and social needs? A cross-sectional analysis
  • Use of standardized brief geriatric evaluation compared with routine care in general practice for preventing functional decline: a pragmatic cluster-randomized trial
  • Effect of involving certified healthcare assistants in primary care in Germany: a cross-sectional study
  • Attachment to primary care and team-based primary care: Retrospective cohort study of people who experienced imprisonment in Ontario
  • Staff perceptions of community health centre team function in Ontario
  • Protocol for determining primary healthcare practice characteristics, models of practice and patient accessibility using an exploratory census survey with linkage to administrative data in Nova Scotia, Canada
  • Preconsult interactive computer-assisted client assessment survey for common mental disorders in a community health centre: a randomized controlled trial
  • Outcomes For High-Needs Patients: Practices With A Higher Proportion Of These Patients Have An Edge
  • Association between registered nurse staffing and management outcomes of patients with type 2 diabetes within primary care: a cross-sectional linkage study
  • Primary Care Physician Panel Size and Quality of Care: A Population-Based Study in Ontario, Canada
  • Roles of nurse practitioners and family physicians in community health centres
  • Patient-reported access to primary care in Ontario: Effect of organizational characteristics
  • Family-centred care delivery: Comparing models of primary care service delivery in Ontario
  • Patients' Experiences in Different Models of Community Health Centers in Southern China
  • Characteristics of primary care practices associated with high quality of care
  • Patient poverty and workload in primary care: Study of prescription drug benefit recipients in community health centres
  • Patients' experience of chronic illness care in a network of teaching settings
  • The Relationship Between Financial Incentives and Quality of Diabetes Care in Ontario, Canada
  • Innovative and Diverse Strategies Toward Primary Health Care Reform: Lessons Learned from the Canadian Experience
  • Self-reported teamwork in family health team practices in Ontario: Organizational and cultural predictors of team climate
  • Progress of Ontario's Family Health Team Model: A Patient-Centered Medical Home
  • Quality of congestive heart failure care: Assessing measurement of care using electronic medical records
  • Community orientation in primary care practices: Results from the Comparison of Models of Primary Health Care in Ontario Study
  • Faudrait-il partager avec des non-medecins l'autorisation de prescrire?: OUI
  • Should prescribing authority be shared with nonphysicians?: YES
  • Organizing Health Care for Value
  • In This Issue: Systematic Strategies and Individualized Approaches to Care
  • Google Scholar

More in this TOC Section

  • Feasibility and Acceptability of the “About Me” Care Card as a Tool for Engaging Older Adults in Conversations About Cognitive Impairment
  • Treatment of Chlamydia and Gonorrhea in Primary Care and Its Patient-Level Variation: An American Family Cohort Study
  • Performance-Based Reimbursement, Illegitimate Tasks, Moral Distress, and Quality Care in Primary Care: A Mediation Model of Longitudinal Data
Show more Original Research

Similar Articles

Subjects

  • Domains of illness & health:
    • Chronic illness
  • Methods:
    • Mixed methods
  • Other research types:
    • Health policy
    • Health services
  • Core values of primary care:
    • Coordination / integration of care

Content

  • Current Issue
  • Past Issues
  • Early Access
  • Plain-Language Summaries
  • Multimedia
  • Podcast
  • Articles by Type
  • Articles by Subject
  • Supplements
  • Calls for Papers

Info for

  • Authors
  • Reviewers
  • Job Seekers
  • Media

Engage

  • E-mail Alerts
  • e-Letters (Comments)
  • RSS
  • Journal Club
  • Submit a Manuscript
  • Subscribe
  • Family Medicine Careers

About

  • About Us
  • Editorial Board & Staff
  • Sponsoring Organizations
  • Copyrights & Permissions
  • Contact Us
  • eLetter/Comments Policy

© 2025 Annals of Family Medicine