Evidence map›Paper›PMID 38149429›Full record

ArticleBMJ open2023

Characteristics of patients attached to near-retirement family physicians: a population-based serial cross-sectional study in Ontario, Canada.

Kamila Premji, Michael E Green, Richard H Glazier, Shahriar Khan, Susan E Schultz, Maria Mathews, Steve Nastos, Eliot Frymire, Bridget L Ryan

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
4.3field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 5 citations in OpenAlex.

  1. Primary Care Attachment and Long-Term Mortality in Burn Survivors: A Population-Based Cohort Study.Journal of burn care & research : official publication of the American Burn Association · 2026
    Article
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  3. Article
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  5. Toward a family medicine capability framework for Canada: From competence to capability.Canadian family physician Medecin de famille canadien · 2026
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 1 country.

Kamila PremjiDepartment of Family Medicine, University of Western Ontario, London, Ontario, Canada kpremji2@uottawa.ca.ORCID 0000-0001-7992-3323
Michael E GreenDepartment of Family Medicine, Queen's University, Kingston, Ontario, Canada.
Richard H GlazierInstitute for Clinical Evaluative Sciences, Toronto, Ontario, Canada.
Shahriar KhanHealth Services and Policy Research Institute, Queen's University, Kingston, Ontario, Canada.
Susan E SchultzInstitute for Clinical Evaluative Sciences, Toronto, Ontario, Canada.
Maria MathewsDepartment of Family Medicine, University of Western Ontario, London, Ontario, Canada.
Steve NastosEconomics, Policy & Research, Ontario Medical Association, Toronto, Ontario, Canada.
Eliot FrymireHealth Services and Policy Research Institute, Queen's University, Kingston, Ontario, Canada.
Bridget L RyanDepartment of Family Medicine, University of Western Ontario, London, Ontario, Canada.
Queen's University · CAWestern University · CAInstitute for Clinical Evaluative Sciences · CAOntario Medical Association · CASt. Michael's Hospital · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesPopulation ageing is a global phenomenon. Resultant healthcare workforce shortages are anticipated. To ensure access to comprehensive primary care, which correlates with improved health outcomes, equity and costs, data to inform workforce planning are urgently needed. We examined the medical and social characteristics of patients attached to near-retirement comprehensive primary care physicians over time and explored the early-career and mid-career workforce's capacity to absorb these patients.

designA serial cross-sectional population-based analysis using health administrative data.

settingOntario, Canada, where most comprehensive primary care is delivered by family physicians (FPs) under universal insurance.

participantsAll insured Ontario residents at three time points: 2008 (12 936 360), 2013 (13 447 365) and 2019 (14 388 566) and all Ontario physicians who billed primary care services (2008: 11 566; 2013: 12 693; 2019: 15 054). OUTCOME MEASURES: The number, proportion and health and social characteristics of patients attached to near-retirement age comprehensive FPs over time; the number, proportion and characteristics of near-retirement age comprehensive FPs over time. SECONDARY OUTCOME MEASURES: The characteristics of patients and their early-career and mid-career comprehensive FPs.

resultsPatient attachment to comprehensive FPs increased over time. The overall FP workforce grew, but the proportion practicing comprehensiveness declined (2008: 77.2%, 2019: 70.7%). Over time, an increasing proportion of the comprehensive FP workforce was near retirement age. Correspondingly, an increasing proportion of patients were attached to near-retirement physicians. By 2019, 13.9% of comprehensive FPs were 65 years or older, corresponding to 1 695 126 (14.8%) patients. Mean patient age increased, and all physicians served markedly increasing numbers of medically and socially complex patients.

conclusionsThe primary care sector faces capacity challenges as both patients and physicians age and fewer physicians practice comprehensiveness. Nearly 15% (1.7 million) of Ontarians may lose their comprehensive FP to retirement between 2019 and 2025. To serve a growing, increasingly complex population, innovative solutions are needed.

Indexed as

Physicians, FamilyRetirementComprehensive Health CareCross-Sectional StudiesHumansOntariohealth policyhealth services accessibilityhuman resource managementphysiciansprimary health care

Identifiers

PMID38149429
PMCPMC10711930
OpenAlexW4389462743

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.