Patient and Physician Assessments of Clinical Status
Bibliographic record
Abstract
Background The SARS-CoV-2 pandemic necessitated novel health care delivery for patients with interstitial lung disease (ILD), including reduced in-person appointments and physiologic testing to minimize transmission. Clinicians often have been required to rely on patients' subjective assessments of their clinical status during phone follow-up appointments. It is unknown how accurate a patient's self-assessment is compared with that of their physician during an in-person evaluation. Research Question Are patients' self-assessments of their clinical status in agreement with their physicians' assessments, and are telemedicine vs in-person visits acceptable? Study Design and Methods Patients were enrolled prospectively from the University of Calgary ILD clinic. Participants were asked by phone before the in-person appointment and after the appointment to rate their clinical status on a five-point Likert scale. Physicians then rated the patient's clinical status after the appointment on a similar five-point Likert scale, masked to patient responses. Patients and physicians were asked if an in-person appointment was necessary or if telemedicine would have sufficed. Clinical variables associated with physician assessments were assessed. Results Fifty patients with mean age of 67 ± 11.8 years participated. Mean time since last follow-up was 5.0 ± 3.0 months. No correlation was found between the preclinical patient self-assessment and postclinical physician assessment ( P = .18; κ = 0.28). Correlation of postclinical assessment was statistically significant ( P < .001), with moderate agreement (κ = 0.49). Physicians thought telephone visits were acceptable for 58% of appointments, whereas only 12% of patients preferred telephone visits. Physician's assessment of clinical status seemed to be driven by change in diffusion capacity of the lungs for carbon monoxide ( P = .039). Interpretation Telemedicine may improve access to care for patients during pandemic management, in rural communities, and for those with impaired mobility. Despite these benefits, our data support that patients and physicians may not agree on determination of clinical status and that patients generally prefer in-person patient-physician interactions.
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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 | 0.007 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".