Physician Decision-Making Patterns and Family Presence: Cross-Sectional Online Survey Study in Japan
Bibliographic record
Abstract
BACKGROUND: Due to a low birth rate and an aging population, Japan faces an increase in the number of elderly people without children living in single households. These elderly without a spouse and/or children encounter a lack of caregivers because most sources of care for the elderly in Japan are not provided by private agencies but by family members. However, family caregivers not only help with daily living but are also key participants in treatment decision making. The effect of family absence on treatment decision making has not been elucidated, although more elderly people will not have family members to make surrogate decisions on their behalf. OBJECTIVE: The aim is to understand the influence of family absence on treatment decision making by physicians through a cross-sectional online survey with three hypothetical vignettes of patients. METHODS: We conducted a cross-sectional online survey among Japanese physicians using three hypothetical vignettes. The first vignette was about a 65-year-old man with alcoholic liver cirrhosis and the second was about a 78-year-old woman with dementia, both of whom developed pneumonia with consciousness disturbance. The third vignette was about a 70-year-old woman with necrosis of her lower limb. Participants were randomly assigned to either of the two versions of the questionnaires-with family or without family-but methods were identical otherwise. Participants chose yes or no responses to questions about whether they would perform the presented medical procedures. RESULTS: Among 1112 physicians, 454 (40.8%) completed the survey; there were no significant differences in the baseline characteristics between groups. Significantly fewer physicians had a willingness to perform dialysis (odds ratio [OR] 0.55, 95% CI 0.34-0.80; P=.002) and artificial ventilation (OR 0.51, 95% CI 0.35-0.75; P<.001) for a patient from vignette 1 without family. In vignette 2, fewer physicians were willing to perform artificial ventilation (OR 0.59, 95% CI 0.39-0.90; P=.02). In vignette 3, significantly fewer physicians showed willingness to perform wound treatment (OR 0.51, 95% CI 0.31-0.84; P=.007), surgery (OR 0.35, 95% CI 0.22-0.57; P<.001), blood transfusion (OR 0.45, 95% CI 0.31-0.66; P<.001), vasopressor (OR 0.49, 95% CI 0.34-0.72; P<.001), dialysis (OR 0.38, 95% CI 0.24-0.59; P<.001), artificial ventilation (OR 0.25, 95% CI 0.15-0.40; P<.001), and chest compression (OR 0.29, 95% CI 0.18-0.47; P<.001) for a patient without family. CONCLUSIONS: Elderly patients may have treatments withheld because of the absence of family, highlighting the potential importance of advance care planning in the era of an aging society with a declining birth rate.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".