Observational studyJournal of primary care & community health
Family Physicians Attaching New Patients From Centralized Waiting Lists: A Cross-Sectional Study.
Observational study in Journal of primary care & community health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
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.
Who cites it
6 citing papers in PubMed.
- The use of centralized waiting lists for attachment to family physicians in Quebec, Canada: predictive factors and association with non-urgent emergency department use.BMC health services research · 2026Article
- Impact of changes in primary care attachment: a scoping review.Family medicine and community health · 2025Article
- Characteristics of Canadian physicians and their associations with practice patterns: a scoping review.Canadian medical education journal · 2023Article
- A cross-sectional study of the preventive health care activities of western Canadian rural-living patients unattached to primary care providers.Preventive medicine reports · 2022Article
- "What do you mean I can't have a doctor? this is Canada!" - a qualitative study of the myriad consequences for unattached patients awaiting primary care attachment.BMC primary care · 2022Article
- Developing primary care teams prepared to improve quality: a mixed-methods evaluation and lessons learned from implementing a microsystems approach.BMC health services research · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeIn response to more than 15% of Canadians not having a family physician, 7 provinces have implemented centralized waiting lists for unattached patients. The aim of this study is to analyze the association between family physicians' characteristics and their participation in centralized waiting lists.
methodsCross-sectional observational study using administrative data in 5 local health networks in Quebec, between 2013 and 2015. All physicians who had attached at least 1 patient were included (n = 580). Multivariate linear regressions for the number of patients and proportion of vulnerable patients attached per physician were performed.
resultsPhysicians with more than 20 years of experience represented more than half of those who had participated in the centralized waiting lists and physicians in traditional primary care models represented more than 40%. Physicians' number of years of practice, primary care model, local health network, and the number of physicians participating in the centralized waiting lists per clinic influenced physicians' participation. Physicians with 0 to 4 years of experience and those practicing in network clinics were found to attach more patients. Practicing in a Centre Locaux de Services Communautaires (local community service center) was associated with attaching 19% more vulnerable patients compared with practicing in a Family Medicine Unit (teaching unit).
conclusionCentralized waiting lists seem to be used by early career physicians to build up their patient panels. However, because of the large number of them participating in the centralized waiting lists, physicians with more experience and those practicing in traditional models of primary care might be of interest for future measures to decrease the number of patients waiting for attachment in centralized waiting lists.
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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.