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Record W2971746546 · doi:10.4414/smw.2019.20116

One in seven Swiss physicians has left patient care – results from a national cohort study from 1980–2009

2019· article· en· W2971746546 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSwiss Medical Weekly · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicDiversity and Career in Medicine
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
Fundersnot available
KeywordsMedicineEconomic shortageCohortFamily medicinePatient careCohort studyNursingInternal medicine

Abstract

fetched live from OpenAlex

AIMS OF THE STUDY: Physician shortage is problematic, but the percentage of physicians who left patient care in Switzerland is unclear. We set out to describe this percentage and determine whether gender or language region was associated with leaving patient care. METHODS: We analysed the National Registry (Medreg) of all physicians who graduated between 1980 and 2009 in Switzerland. Based on the last known working status noted in Medreg, physicians were classified as “probably involved in patient care” or “potentially left patient care”. We drew an unrestricted random sample of 250 from each category. We searched professional directories / social media to classify each sample. Those with undetermined status received a questionnaire that asked their working status. We quantified the percentage of physicians who left patient care and used Poisson and Cox regression to determine rates and the association of leaving patient care with gender, language region, and year of graduation. RESULTS: We identified 23,112 living physicians in Medreg in 2015. Of these, 18,406 (79.6%) were probably involved in patient care and 4706 (20.4%) had potentially left patient care. In the random sample of 250 physicians probably involved in patient care, 237 were involved in patient care, 11 had left and the status of 2 was undetermined (0.8%). In the random sample of 250 physicians who had potentially left patient care, 109 were involved in patient care, 109 had left, and the status of 32 was undetermined (12.8%). We estimated that 13.6% of physicians had left patient care (95% confidence interval [CI] 11.1–16.1%). According to the most realistic scenario, the rate of physicians who had left patient care was 1.2 per 100 physicians/year (95% CI 0.9–1.6) for those who had graduated between 1980 and 1994, and 1.8 per 100 physicians/year (95% CI 1.4–2.3) for those who graduated between 1995 and 2009 (adjusted hazard ratio 1.74, 95% CI 1.12–2.71). There was no evidence that the risk of leaving patient care was associated with gender or language region. CONCLUSIONS: Approximately one in seven physicians in Switzerland who graduated between 1980 and 2009 left patient care. Leaving patient care was not associated with gender, but the probability of leaving patient care was increased considerably in physicians who graduated more recently. Interventions that aim at keeping physicians in the work force and encourage their return to practice are sorely needed.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.081
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.275
Teacher spread0.253 · 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