Patient Perspectives and Consultation Preferences for In-Hospital Blood Testing
Bibliographic record
Abstract
Purpose Patient consultation preferences regarding prescribing of blood tests and shared decision-making are not well-understood. This study directs to understand hospitalized General Internal Medicine (GIM) patient perspectives related to blood tests. Method A patient and family advisory group was consulted to discuss hospital blood test prescribing and shared decision-making. A questionnaire was developed and administered to 45 GIM patients Results Identified themes suggested that patients trust physicians order about what is required, prefer comprehensive communication, and value shared decision-making. Questionnaire findings corroborated the themes and indicated that patient preferences vary. Joint findings proposed that patient consultation preferences included a daily, physician-led, structured, bedside blood test conversation, using nonclinical language to encourage shared decision-making. Furthermore, some patients were concerned about over-ordering of blood tests. Conclusions An intervention is required that provides a practical approach for clinicians to discuss that blood testing is aligned with the “Choosing Wisely Canada” campaign, and encourages shared decision-making, supporting patient’s involvement in their care.
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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 | 0.005 | 0.030 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".