Does Physician Retirement Affect Patients? A Systematic Review
Bibliographic record
Abstract
OBJECTIVES: Older patients that have aged with their doctors will likely experience their physician retiring. It is unclear if this interruption in continuity of care leaves patients at risk for adverse events or whether a new physician improves care. We sought to identify and synthesize findings from all articles examining the association between physician retirement and patient outcomes. DESIGN: Systematic review. We searched English-language articles cataloged in Medline, Embase, Cochrane, and PsycINFO, from database inception to May 4, 2018. PARTICIPANTS: Any patient whose physician (generalist or specialist) retired. INTERVENTION: Physician retirement, defined as voluntary practice closure, death, or departure. MEASUREMENTS: Articles were categorized as anecdotes, qualitative studies, or quantitative studies. Each patient outcome was indexed under one of 11 themes (eg, adverse event, difficulty accessing care) and classified as favorable, neutral, or unfavorable. Patient outcomes included but were not limited to clinical (eg, death), resource utilization (eg, hospitalization), treatment plan adherence (eg, access to medications), and patient satisfaction (eg, expressed frustration). Two reviewers independently assessed study quality. RESULTS: Of 2099 articles screened, 17 met inclusion criteria: 12 anecdotes, 2 qualitative studies, and 3 quantitative studies. Most patient outcomes described were unfavorable. These included feelings of loss, difficulties with transition to a new provider, adverse clinical outcomes, and increased use of high-cost services. The quality of qualitative studies was high, but that of quantitative studies was poor or moderate. CONCLUSION: Current evidence from qualitative studies suggests physician retirement affects patients unfavorably and that patients are vulnerable during this transition of care. High-quality quantitative research is lacking to identify whether this disproportionately affects older adults and whether physician retirement has significant consequences for the broader healthcare system. J Am Geriatr Soc 68:641-649, 2020.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.018 | 0.096 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.007 |
| Bibliometrics | 0.011 | 0.013 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".