Evidence map›Paper›PMID 41343551›Full record

ArticlePloS one2025

Measuring geographic proximity and continuity with family medicine at end-of-life: Protocol for a population-level retrospective cohort study using Canadian Health Administrative Data.

Shuaib Hafid, Lawrence Mbuagbaw, Bruce Newbold, Andrew Costa, Ana Gayowsky, Peter Gozdyra, Aaron Jones, Sarina Isenberg, Erin Gallagher, Michelle Howard

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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Shuaib HafidDepartment of Family Medicine, McMaster University, Hamilton, Ontario, Canada.ORCID https://orcid.org/0000-0002-2853-6881
Lawrence MbuagbawDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.
Bruce NewboldSchool of Earth, Environment, & Society, McMaster University, Hamilton, Ontario, Canada.ORCID https://orcid.org/0000-0002-6441-7863
Andrew CostaDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.
Ana GayowskyICES McMaster, Hamilton, Ontario, Canada.
Peter GozdyraICES, Toronto, Ontario, Canada.
Aaron JonesDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.
Sarina IsenbergDepartment of Medicine, University of Ottawa, Ottawa, Ontario, Canada.
Erin GallagherDepartment of Family Medicine, McMaster University, Hamilton, Ontario, Canada.
Michelle HowardDepartment of Family Medicine, McMaster University, Hamilton, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFamily physicians play an important role in coordinating care for medically complex patients, especially during the end-of-life (EOL) period. While continuity of care (COC) is a routinely measured care quality indicator, the influence of geographic proximity to family physicians on EOL COC has not been studied in the Canadian context. Existing research has focused on rurality indicators instead of individual-level proximity measures.

objectivesThis study objectives are to: (1) measure the association between patients' geographic proximity to their family physician and COC during the patients' last year of life; and (2) measure the association between geographic proximity and the number of days spent in the community and palliative homecare services referral in the last year of life, and place of death.

methodsWe will conduct a population-level retrospective cohort study using linked health administrative data from ICES in Ontario, Canada, of adults who died between January 1, 2021, and December 31, 2024. Geographic proximity to the rostered family physician will be calculated in the shortest travel distance and time from the patient's residence to the physicians primary practice location, considering road, transit, and walking infrastructure. COC will be measured using three indices: Usual Provider of Care, Modified Bice-Boxerman, and Relative Variance indices, based on outpatient visits in the last year of life. EOL outcomes will include days spent in the community, referral to palliative home care, and place of death. Multivariate regression will measure associations between proximity and outcomes, adjusting for relevant patient-level characteristics. EXPECTED OUTCOMES: We hypothesize that patients living closer to their family physician will experience higher COC and improved healthcare outcomes at the end of life. Findings have the potential to inform health policy and planning aimed at improving equitable geographic access to family medicine during the late stages of life.

Indexed as

Continuity of Patient CareFamily PracticeHealth Services AccessibilityTerminal CareAdultAgedCanadaFemaleHumansMaleMiddle AgedOntarioPalliative CarePhysicians, FamilyRetrospective Studies

Identifiers

PMID41343551
PMCPMC12677476

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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.