Use of Complementary and Alternative Medicine by Chinese Individuals Living with Cancer in British Columbia
Bibliographic record
Abstract
Complementary and alternative medicine (CAM) is widely used around the world for cancer. Preliminary research indicates that cultural factors influence cancer patients decisions to use, with significant associations seen between ethnicity and prevalence and type of CAM use. To enhance a culturally-appropriate understanding of CAM use in Chinese cancer patients in BC, this study explored a sample of Chinese cancer patients to gain: (1) the general conceptualization of CAM use; (2) the meaning of CAM use in relation to cancer; (3) the patterns of CAM use prior to and after cancer diagnosis; (4) the reasons for CAM use; and (5) the socio-cultural process in making decision about CAM use. A naturalistic, descriptive study design was used that incorporated semi-structural ethnographic interviewing and qualitative data analysis. The results of this study provide insights about the pattern, reasons, meaning, as well as cultural and socioeconomic factors underpinning the use of CAM. The CAM decision-making (DM) process was found to be nonlinear and comprised of four distinct phases: fitting with the cultural belief framework/lifestyle, seeking information and clarification, evaluating the effectiveness of CAM use, and balancing the cost and benefits of CAM use.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".