What influences seniors' choice of medications for osteoarthritis? Qualitative inquiry.
Bibliographic record
Abstract
OBJECTIVE To explore with seniors what infl uences their choice of medication for osteoarthritis.DESIGN Qualitative study using semistructured in-depth interviews.SETTING Interviews were conducted in patients' homes in two cities in Nova Scotia.PARTICIPANTS Seniors with a physician-confi rmed diagnosis of osteoarthritis. METHODInterviews were audiotaped and transcribed verbatim.A grounded-theory approach was used.Key words and phrases were identifi ed independently by all members of the research team who then collectively grouped the data into conceptual categories. MAIN FINDINGSFour themes emerged from discussions about medication choices: the role of family physicians in infl uencing use of cyclooxygenase-2 inhibitors, the effect of fear of making medication choices, the reasons for discontinuing cyclooxygenase-2 inhibitors, and views on other information sources.Distribution of free samples, family physicians' recommendations, and fear of side effects infl uenced seniors' choices of osteoarthritis medications.They claimed not to be infl uenced by directto-consumer advertising or the fact that cyclooxygenase-2 inhibitors are more expensive than other classes of drugs for osteoarthritis. CONCLUSION Because seniors' choice of medications for osteoarthritis is often infl uenced by physicians'recommendations and distribution of free samples, further research into how distribution of free samples affects medication choices in family practice is needed. EDITOR'S KEY POINTS• This qualitative study explored what infl uences seniors' use of cyclooxygenase-2 (COX-2) inhibitor nonsteroidal anti-infl ammatory drugs (NSAIDs) for osteoarthritis.• The greatest influence was a physician's recommendation, often accompanied by a free sample.Fear of side eff ects from traditional NSAIDs also infl uenced their choice.Some were resistant to changing medications for fear of worsening their osteoarthritis.• Interestingly, seniors claimed not to be influenced by direct-to-consumer advertising or the fact that COX-2 inhibitors are more expensive than other drugs.
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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 | 0.017 | 0.033 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| 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".