“You’re Perfect for the Procedure! Why Don’t You Want It?” Elderly Arthritis Patients’ Unwillingness to Consider Total Joint Arthroplasty Surgery: A Qualitative Study
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.
Bibliographic record
Abstract
OBJECTIVE: To explore the process by which elderly persons make decisions about a surgical treatment, total joint arthroplasty (TJA). METHODS: In-depth interviews with 17 elderly individuals identified as potential candidates for TJA who were unwilling to undergo the procedure. RESULTS: For the majority of participants, decision making involved ongoing deliberation of the surgical option, often resulting in a deferral of the treatment decision. Three assumptions may constrain elderly persons from making a decision about surgery. First, some participants viewed osteoarthritis not as a disease but as a normal part of aging. Second, despite being candidates for TJA according to medical criteria, many participants believed candidacy required a level of pain and disability higher than their current level. Third, some participants believed that if they either required or would benefit from TJA, their physicians would advise surgery. CONCLUSION: These assumptions may limit the possibility for shared decision making. CLINICAL IMPLICATIONS: Emphasis should be directed toward thinking about ways in which discussions about TJA might be initiated (and by whom) and considering how patients' views on and knowledge of osteoarthritis in general might be addressed.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.039 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 it