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FACT
Focus on Alternative and Complementary Therapies

Predictors of use of CAM therapies among cancer patients

Fouladbakhsh JM1, Stommel M1, Given BA1, Given C2
1College of Nursing, Michigan State University, East Lansing, MI 48824, USA
2College of Human Medicine, Michigan State University, East Lansing, MI 48824, USA

Objective

To determine predictors of use of CAM therapies among cancer patients in the community.

Materials and methods

A secondary analysis of two National Institutes of Health federally funded studies was conducted. Sample: lung, breast, colon and prostate cancer patients (n = 968). Participants were asked about use of herbs/supplements, spiritual healing, relaxation, massage, acupuncture, energy healing, hypnosis, therapeutic spas, lifestyle diets, audio/videotapes, and osteopathic, homoeopathic or chiropractic treatment. Most (97%) received conventional cancer treatment: surgery (65%), chemotherapy (38.5%) and radiation therapy (54%). The theoretical framework for this study was Anderson’s Behavioral Model for Health Services Use. The dependent dichotomous variable for this analysis was the use or non-use of any of the identified CAM therapies. The independent variables analysed were:

  • predisposing: gender, age, race, education, marital status
  • enabling: income, health insurance status, caregiver presence, geographic location
  • need: cancer stage, site, symptoms, treatment, perceived health need.

Binary Logistic Regression was the primary statistical model used with the focus on the between-subject differences in CAM use. A stepwise procedure followed in which potential predictor variables were excluded from the model if the P value exceeded 0.10.

Results

The statistically significant predictors of CAM use were gender, marital status, income and cancer treatment.

Conclusion

Cancer patients are using CAM while undergoing conventional cancer treatment. Healthcare providers need to (i) assess CAM use, (ii) advocate for protocols and guidelines for routine assessment, (iii) increase knowledge of CAM and (iv) examine the coordination of services among diverse systems of health care to maximise positive patient outcomes.

Acknowledgements

This research was supported by the following grants: #RO1 NRCA01915, Family Home Care for Cancer – A Community-Based Model, funded by the National Institute for Nursing Research and the National Cancer Institute, Barbara A. Given, PhD, RN, FAAN, Principal Investigator, East Lansing, MI 48824, USA. #RO1 CA56338, Rural Partnership Linkage for Cancer Care, funded by the National Cancer Institute, Barbara A. Given, PhD, RN, FAAN, Principal Investigator, East Lansing, MI 48824, USA.

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