Objectives: To compare the characteristics of complementary and alternative medicine (CAM) users and non-users among Australian women.
Design: Cross-sectional postal questionnaire conducted during 1996, forming the baseline survey of the Australian Longitudinal Study on Women’s Health.
Participants: Women aged 18–23 years (n = 14 779), 45–50 years (n = 14 099) and 70–75 years (n = 12 939), randomly selected from the Health Insurance Commission database, with over-sampling of women from rural and remote areas of Australia.
Main outcome measures: Consultation with an alternative health practitioner in the 12 months before the survey.
Results: Women in the mid-age cohort were more likely to have consulted an alternative health practitioner in the previous year (28%) than women in the younger cohort (19%) or older cohort (15%). In all age groups, CAM users were more likely than CAM non-users to reside in non-urban areas, to report poorer health, have more symptoms and illness, and be higher users of conventional health services.
Conclusions: Women in non-urban Australia are more likely to use CAM but do so in in parallel with conventional health services.
- 1. Harris P, Rees R. The prevalence of complementary and alternative medicine use among the general population: a systematic review of the literature. Complement Ther Med 2000; 8: 88-96.
- 2. MacLennan A, Wilson D, Taylor A. The escalating cost and prevalence of alternative medicine. Prev Med 2002; 35: 166-173.
- 3. Pirotta M, Cohen M, Kotsirilos V, Farish S. Complementary therapies: have they become accepted in general practice? Med J Aust 2000; 172: 105-109. <MJA full text>
- 4. Wolsko P, Eisenberg D, Davis R, et al. Insurance coverage, medical conditions and visits to alternative medicine providers: results of a national survey. Arch Intern Med 2002; 162: 281-285.
- 5. Berg M, Arnetz B. Characteristics of users and nonusers of alternative medicine in dermatologic patients attending a university hospital clinic. J Altern Complement Med 1998; 4: 277-279.
- 6. Astin JA. Why patients use alternative medicine: results of a national study. JAMA 1998; 279: 1548-1553.
- 7. Eisenberg D, Kessler R, Foster C, et al. Unconventional medicine in the United States: prevalence, costs and patterns of use. N Engl J Med 1993; 328: 246-252.
- 8. Eisenberg D, Davis R, Ettner S, et al. Trends in alternative medicine use in the United States, 1990–1997: results of a follow-up national survey. JAMA 1998; 280: 1569-1575.
- 9. Kelner M, Wellman B. Health care and consumer choice: medical and alternative therapies. Soc Sci Med 1997; 45: 203-212.
- 10. Millar W. Use of alternative health practitioners by Canadians. Can J Public Health 1997; 88: 154-158.
- 11. Ni H, Simile C, Hardy A. Utilization of complementary and alternative medicine by United States adults: results from the 1999 national health interview survey. Med Care 2002; 40: 353-358.
- 12. Wiles J, Rosenberg M. “Gentle caring experience” Seeking alternative health care in Canada. Health Place 2001; 7: 2209-2224.
- 13. Thomas K, Nicholl J, Coleman P. Use and expenditure on complementary medicine in England: a population based survey. Complement Ther Med 2001; 9: 2-11.
- 14. Vaskilampi T, Merilainen P, Sinkkonen S. The use of alternative treatments in the Finnish adult population. In: Lewith G, Aldridge D, editors. Clinical research methodology for complementary therapies. London: Hodder and Stoughton, 1993.
- 15. MacLennan A, Wilson D, Taylor A. Prevalence and cost of alternative medicine in Australia. Lancet 1996; 347: 569-573.
- 16. Wilkinson J, Simpson M. High use of complementary therapies in a New South Wales rural community. Aust J Rural Health 2001; 9: 166-171.
- 17. Brown WJ, Bryson L, Byles JE, et al. Women’s Health Australia: recruitment for a national longitudinal cohort study. Women Health 1998; 28: 23-40.
- 18. Brown WJ, Dobson AJ, Bryson L, Byles JE. Women’s Health Australia: on the progress of the main study cohorts. J Womens Health Gend Based Med 1999; 8: 681-688.
- 19. Ware JE, Snow KK, Kosinski M, et al. SF-36 Health survey manual and interpretation guide. Boston, MA: Health Institute, New England Medical Centre, 1993.
- 20. Armitage P, Berry G. Statistical methods in medical research. 2nd ed. Oxford: Blackwell, 1987.
- 21. Glymour C, Madigan D, Pregibon D, Smyth P. Statistical themes and lessons for data mining. Data Mining Knowl Discov 1997; 1: 11-28.
- 22. SAS [computer program]. Version 8.2. Cary, NC: SAS Institute, 1999.
- 23. Drew A, Myers S. Safety issues in herbal medicine: implications for the health professionals. Med J Aust 1997; 166: 538-541. <MJA full text>
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