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Record W2772667581 · doi:10.1503/cmaj.170231

Patterns of physician retirement and pre-retirement activity: a populationbased cohort study

2017· article· en· W2772667581 on OpenAlexaffvenue
Lindsay Hedden, M. Ruth Lavergne, Kimberlyn McGrail, Michael R. Law, Lucy Cheng, Megan Ahuja, Morris L. Barer

Bibliographic record

VenueCanadian Medical Association Journal · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicDiversity and Career in Medicine
Canadian institutionsVancouver General HospitalVancouver Hospital and Health Sciences CentreSimon Fraser UniversityUniversity of British Columbia
Fundersnot available
KeywordsMedicineCohortCohort studyGerontologyFamily medicinePathology

Abstract

fetched live from OpenAlex

BACKGROUND: Knowing when physicians retire and how they practise in the pre-retirement years is important information for health human resource planning. We identified patterns of retirement for physicians in British Columbia and the determinants of when and how physicians retire. METHODS: For this population-based retrospective cohort study, we used administrative data to examine activity levels and to identify retirements among BC's practising physicians. We included all physicians who were at least 50 years of age as of March 2006 and who had received payments for clinical services in at least 1 year between 2005/06 and 2011/12. We defined retirement as a permanent drop in monthly payments to less than $1667/month ($20 000/yr). We examined the patterns and timing of retirement by age, sex, specialty and location using linear and logistic regression models. RESULTS: Of the 4572 physicians who met the inclusion criteria, 1717 (37.6%) retired during the study period. The average age at retirement was 65.1 (standard deviation 7.8) years. Controlling for other demographic and practice characteristics, we found that women and physicians working in rural areas retired earlier, by 4.1 (95% confidence interval [CI] -4.9 to -3.2) years and 2.3 (95% CI -3.4 to -1.1) years, respectively. We found no difference in retirement age by specialty. We identified 4 patterns of pre-retirement activity: slow decline, rapid decline, maintenance and increasing activity. About 40% of physicians (440/1107) reduced their activity levels by at least 10% in the 3 years preceding retirement. INTERPRETATION: During the study period, physicians in BC - particularly women and those in rural areas - retired earlier than indicated by licensure and survey data. Many physicians reduced their practice activity in the pre-retirement years. These trends indicate that forecasts relying on licensure "head counts" are likely overestimating current and future physician supply.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.177
Threshold uncertainty score0.352

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.022
GPT teacher head0.304
Teacher spread0.282 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations45
Published2017
Admission routes2
Has abstractyes

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