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Record W2553114449 · doi:10.1186/s12960-016-0166-z

A systematic review of physician retirement planning

2016· review· en· W2553114449 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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueHuman Resources for Health · 2016
Typereview
Languageen
FieldSocial Sciences
TopicRetirement, Disability, and Employment
Canadian institutionsInstitute for Work & HealthThe Scarborough HospitalUniversity of Toronto
FundersMitacs
KeywordsCINAHLPsycINFOMEDLINEHealth services researchWorkloadMedicineFamily medicineRetirement planningQualitative researchPsychologyNursingPublic healthPsychological interventionActuarial science

Abstract

fetched live from OpenAlex

BACKGROUND: Physician retirement planning and timing have important implications for patients, hospitals, and healthcare systems. Unplanned early or late physician retirement can have dire consequences in terms of both patient safety and human resource allocations. This systematic review examined existing evidence on the timing and process of retirement of physicians. Four questions were addressed: (1) When do physicians retire? (2) Why do some physicians retire early? (3) Why do some physicians delay their retirement? (4) What strategies facilitate physician retention and/or retirement planning? METHODS: English-language studies were searched in electronic databases MEDLINE, Web of Science, Scopus, CINAHL, AgeLine, Embase, HealthSTAR, ASSA, and PsycINFO, from inception up to and including March 2016. Included studies were peer-reviewed primary journal articles with quantitative and/or qualitative analyses of physicians' plans for, and opinions about, retirement. Three reviewers independently assessed each study for methodological quality using the Newcastle-Ottawa Scale for quantitative studies and Critical Appraisal Tool for qualitative studies, and a fourth reviewer resolved inconsistencies. RESULTS: In all, 65 studies were included and analyzed, of which the majority were cross-sectional in design. Qualitative studies were found to be methodologically strong, with credible results deemed relevant to practice. The majority of quantitative studies had adequate sample representativeness, had justified and satisfactory sample size, used appropriate statistical tests, and collected primary data by self-reported survey methods. Physicians commonly reported retiring between 60 and 69 years of age. Excessive workload and burnout were frequently cited reasons for early retirement. Ongoing financial obligations delayed retirement, while strategies to mitigate career dissatisfaction, workplace frustration, and workload pressure supported continuing practice. CONCLUSIONS: Knowledge of when physicians plan to retire and how they can transition out of practice has been shown to aid succession planning. Healthcare organizations might consider promoting retirement mentorship programs, resource toolkits, education sessions, and guidance around financial planning for physicians throughout their careers, as well as creating post-retirement opportunities that maintain institutional ties through teaching, mentoring, and peer support.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.492
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.373
GPT teacher head0.539
Teacher spread0.166 · 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