Acupuncture in Australian general practice: patient characteristics.
OBJECTIVE
To ascertain the incidence of acupuncture claims and the characteristics of patients claiming for acupuncture.


METHODS
Secondary analysis of Health Insurance Commission data on claims for acupuncture performed by a medical practitioner.


METHODS
A summary of all Medicare acupuncture claims for financial years 1984-85 to 1996-97 and a random sample of patients claiming a Medicare rebate in calendar year 1996.


METHODS
Claims for acupuncture by patients' State, sex, age, and the socioeconomic disadvantage index of patients' residences.


RESULTS
Between 1984-85 and 1996-97 the number of acupuncture claims increased, but declined as a proportion of total Medicare claims. In 1996, 1.16% of patients claimed for acupuncture, which constituted 0.5% of all Medicare claims. Adjusting for age and socioeconomic disadvantage, women were more likely than men to claim for acupuncture (odds ratio, 1.40; 95% confidence interval, 1.36-1.45). This sex difference is proportionately greater than that for all medical services. Propensity to claim for acupuncture increased with age, peaking at 65-69 years, then declining. Acupuncture claims were more likely in areas just above those assessed as having the greatest social disadvantage.


CONCLUSIONS
The number of acupuncture claims has increased since 1984. As a proportion of all Medicare claims, acupuncture has remained stable since declining in 1991-92. This suggests that acupuncture is now an established complementary medical practice.
Easthope
G
G
School of Sociology and Social Work, University of Tasmania, Hobart, TAS. Gary.Easthope@utas.edu.au
Gill
G F
GF
Beilby
J J
JJ
Tranter
B K
BK
D015670:Acupuncture Therapy / Q000706:statistics & numerical data; D000293:Adolescent; D000328:Adult; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D001315:Australia / Q000453:epidemiology; D002648:Child; D002675:Child, Preschool; D005194:Family Practice; D005260:Female; D006801:Humans; D015994:Incidence; D007223:Infant; D007345:Insurance Claim Review; D016015:Logistic Models; D008297:Male; D006278:Medicare; D008875:Middle Aged; D012737:Sex Factors; D014481:United States