Patients' adherence to osteoporosis therapy: exploring the perceptions of postmenopausal women.
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 experiences and perceptions of postmenopausal women regarding strategies to improve adherence to osteoporosis therapy. DESIGN: Qualitative, mixed phenomenologic study using focus groups. SETTING: Family physicians' and specialists' practices and community pharmacies in Hamilton, Ont. PARTICIPANTS: A total of 37 postmenopausal women currently taking at least 1 prescription or over-the-counter medication for osteoporosis. METHOD: Focus groups were conducted using a semistructured interview guide consisting of 10 open-ended questions about patients' perceptions of their osteoporosis medications, their reasons for adherence and non-adherence to therapy, and the effectiveness of strategies they had tried to improve adherence. At least 2 research team members analyzed the data to find primary themes. MAIN FINDINGS: Analysis of data from the 7 focus groups found 6 main factors that influenced adherence to medications: belief in the importance of taking medications for osteoporosis, medication-specific factors, beliefs regarding medications and health, relationships with health care providers, information exchange, and strategies to improve adherence. Strategies that facilitated adherence to medications included having a system for taking medications, using cues or reminders, being well informed about the reasons for taking medications, and having regular follow-up by health care providers for support and monitoring after having been prescribed medications. CONCLUSION: Results of this study provide a better understanding of how patients' perceptions and experiences affect their adherence to osteoporosis medications. Because each patient's reasons for non-adherence might be different, depending on individual beliefs or circumstances, strategies to improve adherence to medications should be individualized accordingly.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it