Inquiring minds: women's approaches to evaluating complementary and alternative therapies for menopausal symptoms.
Bibliographic record
Abstract
OBJECTIVE: To examine how women gather, evaluate, and use information on complementary and alternative medicine (CAM) options for managing menopausal symptoms. DESIGN: Qualitative study. SETTING: Calgary, Alta. PARTICIPANTS: Twenty-two women with a mean age of 52 years (range 42 to 58 years) who sought information on CAM therapies to manage menopausal symptoms. METHOD: In-depth semistructured interviews. Category coding and thematic analysis were used to interpret the data. MAIN FINDINGS: Four major themes emerged: how women gathered information, how they evaluated the information, how they used the information, and the challenges they experienced in making informed decisions. Information gathering was an on going process; as women's symptoms changed, their information needs changed also. Their preferred sources of information included physicians, CAM practitioners, staff at health food stores, and personal contacts. They sought information about the process of menopause and about both CAM and conventional treatments. Study participants were highly educated. Most of them systematically evaluated information from many sources using such criteria as whether information was biased, where the information came from, and whether the information was current. Information was used to validate their symptoms and to choose treatment based on cost-benefit analysis, risk-benefit analysis, and possible negative side effects or interactions between medications. Finding reliable information was considered a challenge due to structural or information-related barriers. Several of the women cited a lack of time as a challenge: time to search for and evaluate information and the pressure of time to find relief from the symptoms of menopause. CONCLUSION: There is a need for reliable information about menopause and the risks and benefits of CAM options for menopausal symptoms in a format accessible to the range of women who will experience or are experiencing this transition. As a trusted source, family physicians have a role in disseminating this information.
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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 | 0.024 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 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 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".