| Literature DB >> 23331546 |
Joel Yarney1, Andrew Donkor, Samuel Y Opoku, Lily Yarney, Isaac Agyeman-Duah, Alice C Abakah, Emmanuel Asampong.
Abstract
BACKGROUND: There is widespread use of Complementary and Alternative Medicine (CAM) in Ghana, driven by cultural consideration and paradigm to disease causation. Whether there is concurrent use of conventional medicine and CAM in cancer patients is unknown. This study investigates the prevalence, pattern and predictors of CAM use in cancer patients. Overlapping toxicity, sources of information, and whether users inform their doctor about CAM use is examined.Entities:
Mesh:
Year: 2013 PMID: 23331546 PMCID: PMC3565863 DOI: 10.1186/1472-6882-13-16
Source DB: PubMed Journal: BMC Complement Altern Med ISSN: 1472-6882 Impact factor: 3.659
Pattern of CAM use
| | ||||
|---|---|---|---|---|
| High dose/mega vitamins | 3 | 41 | 2 | 13 |
| Herbal | 8 | 28 | 0 | 30 |
| Prayers | 24 | 15 | 2 | 27 |
| Rituals | 1 | 30 | 3 | 1 |
| music therapy | 24 | 5 | 4 | 11 |
| Relaxation | 13 | 15 | 8 | 9 |
| Support group | 1 | 18 | 38 | 5 |
| Chinese medicine | 0 | 43 | 6 | 9 |
| Indian medicine | 0 | 13 | 16 | 1 |
| Acupuncture | 0 | 7 | 5 | 0 |
| Homeopathy | 0 | 9 | 8 | 0 |
| Chiropractic | 0 | 2 | 10 | 0 |
| Osteopathy | 2 | 8 | 6 | 1 |
| Massage | 3 | 24 | 1 | 41 |
| Reflexology | 1 | 1 | 11 | 2 |
| Electromagnetic | 1 | 6 | 11 | 0 |
| Therapeutic touch | 0 | 3 | 10 | 0 |
Contingency table of Patient characteristics and CAM use
| | ||||
|---|---|---|---|---|
| Male | | | | |
| Yes | 29 | 36.7 | | |
| No | 43 | 35.3 | | |
| Sex | | | 0.004 | 8.206 |
| Female | | | | |
| Yes | 19 | 13.3 | | |
| No | 7 | 12.7 | | |
| >50 | 27 | 25.7 | | |
| Yes | | | | |
| No | 45 | 46.3 | | |
| Age Range | | | 0.539 | 0.385 |
| ≤50 | | | | |
| Yes | 18 | 16.7 | | |
| No | 8 | 9.3 | | |
| Married | | | | |
| Yes | 42 | 40.4 | | |
| No | 30 | 31.6 | 0.463 | 0.561 |
| Marital Status | | | | |
| Single and Divorce | | | | |
| Yes | 13 | 14.6 | | |
| No | 13 | 11.4 | | |
| Basic | | | | |
| Yes | 35 | 36.7 | | |
| No | 37 | 35.3 | 0.427 | 0.63 |
| Level of Education | | | | |
| Secondary and Tertiary | | | | |
| Yes | 15 | 13.3 | | |
| No | 11 | 12.7 | | |
| Head and Neck | | | | |
| Yes | 12 | 10 | | |
| No | 17 | 14 | | |
| Breast | | | | |
| Yes | 38 | 34 | | |
| No | 5 | 14 | 0.665 | 21.9 |
| Cancer Cases | 3 | 5 | | |
| Abdomino-Pelvic | | | | |
| Yes | | | | |
| No | 4 | 7 | | |
| Other | | | | |
| Yes | 13 | 17 | | |
| No | 16 | 7 | | |
| Curative | 47 | 47.9 | | |
| Yes | | | | |
| No | 19 | 15.5 | | |
| Treatment Intent | | | 0.032 | 6.9 |
| Palliative | | | | |
| Yes | 21 | 20.1 | | |
| No | 3 | 6.51 |
Results of logistic regression for the model
| Intercept | 1 | 0.953 | 0.467 | | |
| Marital status | 1 | 0.013 | 0.647 | 1.295 | 0.429- 3.912 |
| Gender | 1 | −1.012 | 0.010 | 0.132 | 0.028 - 0.617 |
| Age | 1 | −0.038 | 0.102 | 0.963 | 0.920 - 1.008 |
| Education 0 | 1 | 0.544 | 0.256 | 0.982 | 0.189 – 5.104 |
| 1 | 1 | −0.761 | 0.116 | 0.266 | 0.46 – 1.532 |
| 2 | 1 | −0.345 | 0.549 | 0.404 | 0.059 – 2.768 |
| Tumour site 0 | 1 | −0.297 | 0.562 | 0.151 | 0.026 – 0.869 |
| 1 | 1 | −1.476 | 0.028 | 0.046 | 0.005 – 0.421 |
| 2 | 1 | 0.177 | 0.811 | 0.242 | 0.026 - 2.263 |
| Treatment Intent 0 | 1 | 0.199 | 0.686 | 0.730 | 0.102 – 5.208 |
| 1 | 1 | −0.712 | 0.282 | 0.293 | 0.025 – 3.85 |
Marital status (married = 1, single=0) Gender(male=1, female=0); Age was used as a continuous variable Educ. (Basic = 0, Sec. = 1, Tert. = 2, uneduc. = 3) Tumour site (Abd/pel = 0, H/Neck = 1, Thorax = 2, other =3) Treatment Int. (curative = 0, Palliative = 1, unspecified =2).