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Healthcare

Acupuncture in Australian general practice: patient characteristics

Gary Easthope, Gerard F Gill, Justin J Beilby and Bruce K Tranter

MJA 1999; 170: 259-262
For editorial comment, see Bensoussan
See also Acupuncture in Australian general practice: practitioner characteristics

Abstract - Introduction - Methods - Results - Discussion - Acknowledgements - References - Authors' details
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Abstract Objective: To ascertain the incidence of acupuncture claims and the characteristics of patients claiming for acupuncture.
Design: Secondary analysis of Health Insurance Commission data on claims for acupuncture performed by a medical practitioner.
Participants: 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.
Main outcome measures: 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.
Conclusion: 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.


Introduction People in the United States,1,2 Canada,3,4 the Netherlands,5,6 the United Kingdom7,8 and Australia9 are increasingly using medicines that are not part of the conventional pharmacopoeia and seeking therapies that are not taught in the conventional medical undergraduate curriculum. A South Australian community study reported that 48.5% of respondents had used such alternative medicines and 20.3% had visited a non-medical practitioner of alternative therapies.10

Some general practitioners, as well as non-medical practitioners, provide alternative therapies. Such provision ranges from 16% of general practitioners in Australia,11 Britain12,13 and Canada14 to 30% in New Zealand.15,16 In addition, the proportion of doctors who refer patients to non-medical therapists ranges from 59%-72% in Britain12,13 to 60% in the United States,17 68% in Canada,14,18 80% in New Zealand15,16 and 90% in Holland.6

In Australia one such therapy, acupuncture, is of particular interest in that, although it is used by doctors as part of their normal general practice in many countries, including the UK,13 Canada14 and Holland,6 it is used most extensively by doctors in New Zealand15,16 and Australia.11

Acupuncture is not part of the standard medical curriculum in Australia, but it is recognised as a standard medical therapeutic technique in that it attracts a Medicare rebate (as item 173) when it is performed by a medical practitioner. Other alternative therapies do not attract a rebate or are not so clearly specified. Given this level of government recognition and its use by one in seven Australian general practitioners,11 acupuncture can be considered an addition to general practice in Australia -- a complementary, rather than an alternative, therapy.

In this article we examine the characteristics of patients claiming for acupuncture provided by general practitioners, as an extension of our previous report on the characteristics of general practitioners using acupuncture.11


Methods The Health Insurance Commission provided two datasets on the claims submitted by patients involving acupuncture, where those services were provided by medical practitioners.

The first dataset was time-series data for the financial years 1984-85 to 1996-97. It includes the number of services and benefits claimed for acupuncture (1984-1990, item 980; 1991-1997, item 173) by State/Territory, age and sex.

The second dataset consisted of all Medicare services claimed by patients in the calendar year 1996 -- each case representing an individual patient. We analysed a 1:10 systematic random sample of these data, which included 1 575 173 patients. The data included five variables that measured the frequency of acupuncture claims, frequency of non-acupuncture items, sex, age groupings and postcode. Postcodes were reclassified into 62 categories (consolidated to 12 for presentation) derived from an Australian Bureau of Statistics socioeconomic disadvantage index (SDI).19 SDI groupings were used as proxy measures of socioeconomic status.

The 1996 data were analysed using the SAS procedure proc logistic.20 A logistic regression model was fitted to the data to analyse a dichotomous dependent variable (1 = acupuncture service claims, 0 = other service claims). Models were also fitted to four dependent variables representing acupuncture use as quartiles of total service use (ie, 0-25%, 26%-50%, 51%-75%, 76%-100%). Logistic regression odds ratios adjusted for sex, age and SDI were calculated.

The University of Tasmania Ethics Committee (Human Experimentation) approved the study.


Results  

Time-series data Between 1984 and 1996, claims for acupuncture rose in all States and Territories except South Australia, where claims began to decrease in 1989, and the Northern Territory, where they began to decrease in 1990. However, in proportion to total Medicare claims, there has been decreased relative demand for acupuncture (Figure). This general Australian decline is echoed in all States and Territories except New South Wales, where demand has fluctuated at a low level. Of particular interest is the order of States and Territories in use of acupuncture throughout the whole time period, with consistently high proportions of claims in Tasmania and South Australia and low levels of claims in the Northern Territory and New South Wales.

Separate analyses (not shown) indicate that women make about two-thirds of all claims, except in the Northern Territory, where women make only 55% of claims. When age is examined by sex the picture is more complex. In 1996-97, boys aged 14 years or younger (51.6%; 95% CI, 50.5%-52.7%) were slightly more likely than girls (48.5%; 95% CI, 47.3%-49.5%) to make claims for acupuncture, whereas among older people the pattern was 35% men (95% CI, 34.9%-35.1%) and 65% women (95% CI, 64.9%-65.1%). From 1984 to 1987 claims for both men and women increased with age, peaking at age 55-64 years. However, from 1988 the peak age for women shifted to 45-54 years. There has also been an increase in claims among people 70 years or older, from 7.25% in 1984 to 18% in 1996.  

1996 sample data In 1996, acupuncture claims accounted for about 0.5% of all HIC claims for medical services. Of the 1 575 173 patients in our sample, 18 219 (1.16%) claimed for acupuncture. Most patients (16 039; 88.0%) claimed for 10 acupuncture services or fewer, but a small proportion (519; 2.8%) claimed for more than 20 services. High use of acupuncture is only weakly associated with high use of other Medicare services (Pearson's r = 0.07; P < 0.0001).

Analyses of the 1996 data (not shown) suggest that, while women (52.7%; 95% CI, 52.6%-52.8%) are more likely than men (47.3%; 95% CI, 47.2%-47.4%) to claim for all types of medical services, their claims for acupuncture are proportionately higher, with 61.7% of those claiming for acupuncture being women (odds ratio [OR], 1.45). These sex differences remain after adjusting for age and SDI (Box).

However, acupuncture claims expressed as quartiles (ie, 0-25%, 26%-50%, 51%-75%, 76%-100%) by sex show a different pattern. Sex-based differences tend to decrease as the proportion of acupuncture claims rises. From a logistic regression model (not shown) controlling for age and SDI, no sex-based differences were found for acupuncture claims in the group claiming acupuncture as 76%-100% of all claims (OR, 1.03; 95% CI, 0.91-1.16).

As a proportion of all claims, acupuncture claims increased linearly with age (Box), peaking for the 65-69 years age group, then declining.

Acupuncture claims tend to be highest in the areas just above the most socioeconomically disadvantaged. Patients in SDI area 2 are 1.7 times (95% CI, 1.58-1.85) more likely to have claimed for acupuncture than those in the area 6 reference group, although the odds ratios for other SDI categories do not exceed 1.3 (Box).


Discussion Acupuncture was claimed for by about one in every 100 patients in 1996 and in 1996-97 constituted about 0.5% of all Medicare claims. Although the number of acupuncture claims has increased in the past 13 years, such claims have decreased as a proportion of total Medicare claims.

The consistent State/Territory differentials in acupuncture claims are difficult to explain. One possible factor may be ease of access to providers because of the small size of Tasmania and the concentration of the South Australian population in Adelaide. Another may be that these two States have high unemployment, and Medicare-funded acupuncture, unlike medication or physiotherapy, does not require patients to pay for treatment.

Acupuncture claims are made more by women than men, and are age-related. The differential between claims made by women and men is greater than the usual disproportion for medical-service claims. This finding appears to lend support to previous research that suggests women are more receptive to alternative techniques.9,10,21 However, this apparent receptiveness varies by age, with boys more likely than girls to receive acupuncture. Further, the peak age for acupuncture claims by women has varied, shifting in 1988 from 55-64 years to 45-54 years. These age variations suggest that the decision to use acupuncture is not solely a function of women's receptiveness to alternative therapies, but is a function of either sex/age-based differences in presenting complaints or doctors' changing willingness to use acupuncture.

The increase in claims for acupuncture by middle-aged and elderly patients is also likely to relate to the presenting complaints of patients, or perhaps the lack of success of conventional treatment in alleviating their problems. However, the very weak relationship between high Medicare claims and high acupuncture claims suggests that acupuncture is being used as an alternative to, rather than in conjunction with, other treatments. Whether acupuncture is used after other treatments have failed, as suggested by American2 and Canadian21 research, cannot be ascertained from these HIC data. However, focus groups conducted by one of us (G E) with general practitioner users of acupuncture suggest that it is seen by family doctors as most useful for chronic pain, a symptom more likely to present in middle-aged and elderly patients.22

The higher rate of claims for acupuncture in areas in the lower levels of the SDI scale is contrary to most previous research on alternative therapies,9,10,21 which suggests they are used predominantly by wealthier segments of the community. The fact that these data relate to a Medicare-funded complementary procedure is important in considering this divergence from previous findings.

Differences in the rate of acupuncture claims by SDI are not related to the proportion of doctors providing acupuncture in different SDI areas.11 This suggests either that the use of acupuncture is demand-driven rather than supply-driven or that doctors providing acupuncture in low-SDI areas do so to a greater extent through Medicare funding than their colleagues in other SDI areas. However, we recognise that a degree of caution is necessary when interpreting the SDI results, as postcode-based SDI measures may be subject to misclassification error.23

The funding system for Australian healthcare (Medicare and the Health Insurance Commission) provided data which are not available anywhere else in the world. This, coupled with the fact that acupuncture attracts a Medicare rebate if performed by a doctor, enabled us to produce this study, the only national-level study of the characteristics of patients treated with acupuncture. However, the advantages of this dataset are also its disadvantages. The data do not include acupuncture services provided by doctors conducted privately or for insurance companies. Nor do they include the provision of acupuncture by non-medical practitioners. Therefore, these results are not representative of overall acupuncture use or alternative therapies in general.

Nevertheless, our results are important at the national level. Acupuncture, a therapy not taught in the standard undergraduate medical curriculum, has been adopted by doctors and used as a complementary therapy throughout Australia. The current Medicare rebate for acupuncture is $18.45, $2.55 less than a standard consultation. Doctors choosing acupuncture are not doing so for monetary reasons. For some doctors it is now an established complementary therapy, apparently chosen for clinical reasons, and a therapy used more frequently with women and elderly patients than with men or young adults and children.


Acknowledgements The authors wish to thank the Government Employees Medical Research Fund, which provided funds to conduct the research.


References
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  2. Astin JA. Why patients use alternative medicine: results of a national study. JAMA 1998; 279: 1548-1553.
  3. Northcott HC, Bachynsky JA. Concurrent utilization of chiropractic, prescription medicines, nonprescription medicines and alternative health care. Soc Sci Med 1993; 37: 431-435.
  4. Blais R, Maiga A, Aboucar A. How different are users and non-users of alternative medicine? Can J Public Health 1997; 88: 159-162.
  5. Menges LJ. Regular and alternative medicine: the state of affairs in the Netherlands. Soc Sci Med 1994; 39: 871-873.
  6. Visser GJ, Peters L. Alternative medicine and general practitioners in The Netherlands: towards acceptance and integration. Fam Pract 1990; 7: 227-232.
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  8. Vincent C, Furnham A, Willsmore M. The perceived efficacy of complementary and orthodox medicine in complementary and general practice patients. Health Education Research 1995; 10: 395-405.
  9. Lloyd P, Lupton D, Weisner D, Hasleton S. Choosing alternative therapy: an exploratory study of sociodemographic characteristics and motives of patients resident in Sydney. Aust J Public Health 1993; 17: 135-144.
  10. MacLennan AH, Wilson DH, Taylor AW. Prevalence and cost of alternative medicine in Australia. Lancet 1996; 347: 569-573.
  11. Easthope G, Gill GF, Beilby JJ, Tranter BK. Acupuncture in Australian general practice: practitioner characteristics. Med J Aust 1998; 169: 197-200.
  12. Anderson E, Anderson P. General practitioners and alternative medicine. J R Coll Gen Pract 1987; 37: 52-55.
  13. Wharton R, Lewith G. Complementary medicine and the general practitioner. BMJ 1986; 292: 1498-1500.
  14. Verhoef MJ, Sutherland LR. Alternative medicine and general practitioners. Opinions and behaviour. Can Fam Physician 1995; 41: 1005-1011.
  15. Hadley CM. Complementary medicine and the general practitioner: a survey of general practitioners in the Wellington area. N Z Med J 1988; 101: 766-768.
  16. Marshall RJ, Gee R, Israel M, et al. The use of alternative therapies by Auckland general practitioners. N Z Med J 1990; 103: 213-215.
  17. Borkan J, Neher JO, Anson O, Smoker B. Referrals for alternative therapies. J Fam Pract 1994; 39: 545-550.
  18. Goldszmidt M, Levitt C, Duarte-Franco E, Kaczorowiski J. Complementary health services: a survey of general practitioners' views. CMAJ 1995; 153: 29-35.
  19. Castles I. Information paper: 1991 census. Socio- economic indexes for areas. Canberra: AGPS, 1994. (Catalogue no. 2912.0.)
  20. SAS for Windows [computer program]. Version 6.12. Cary, North Carolina: SAS Institute, 1996.
  21. Kelner M, Wellman B. Health care and consumer choice: medical and alternative therapies. Soc Sci Med 1997; 45: 203-212.
  22. Astin M, Lawton D, Hirst M. The prevalence of pain in a disabled population. Soc Sci Med 1996; 42: 1457-1464.
  23. Hyndman JCG, Holman CDJ, Hockey RL, et al. Misclassification of social disadvantage based on geographical areas: comparisons of postcodes and collectors district analyses. Int J Epidemiol 1995; 24: 165-176.

(Received 28 Aug, accepted 11 Dec, 1998)

Authors' details School of Sociology and Social Work, University of Tasmania, Hobart, TAS.
Gary Easthope, MA, PhD, Associate Professor;
Bruce K Tranter, BA, PhD, Lecturer.

Division of Community and Rural Health, University of Tasmania, Launceston, TAS.
Gerard F Gill, MAE, FRACGP, Clinical Senior Lecturer.

Department of General Practice, University of Adelaide, SA.
Justin J Beilby, MPH, FRACGP, Senior Lecturer.

Reprints will not be available from the authors.
Correspondence: Dr G Easthope, School of Sociology and Social Work, University of Tasmania, GPO Box 252-17, Hobart, TAS 7001
Email: Gary.EasthopeATutas.edu.au

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Acupuncture claims (Medicare Benefits Schedule item 980 from 1984 to 1990; item 173 after 1990) by State and Territory (A), and as a proportion of all claims (B), from financial year 1984-85 to 1996-97.

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Characteristics of patients who claimed for acupuncture provided by general practitioners in 1996 (Medicare Benefits Schedule item 173)

Number (%)
Odds ratio*
(95% CI)

Sex (n = 18219)
Women
11233 (61.7%)
1.40 (1.36-1.45)
Men
6986 (38.3%)
1
 
Age (n=18219)
0-4 years
85 (0.5%)
0.08 (0.06-0.10)
5-9 years
133 (0.7%)
0.13 (0.11-0.15)
10-14 years
263 (1.4%)
0.28 (0.24-0.32)
15-19 years
474 (2.6%)
0.49 (0.44-0.54)
20-24 years
758 (4.2%)
0.69 (0.63-0.75)
25-34 years
2314 (12.7%)
1
35-44 years
3438 (18.9%)
1.55 (1.47-1.63)
45-54 years
3672 (20.2%)
1.98 (1.88-2.09)
55-64 years
3016 (16.6%)
2.36 (2.23-2.49)
65-69 years
1447 (7.9%)
2.51 (2.35-2.68)
70-74 years
1168 (6.4%)
2.39 (2.23-2.57)
75-79 years
818 (4.5%)
2.33 (2.15-2.53)
> 80 years
633 (3.5%)
1.34 (1.23-1.47)
 
Socioeconomic disadvantage index of claimants (n = 17961)
High socioeconomic disadvantage
1
300 (1.7%)
1.33 (1.18-1.50)
2
844 (4.7%)
1.71 (1.58-1.85)
3
1047 (5.8%)
1.33 (1.24-1.43)
4
1640 (9.1%)
1.23 (1.16-1.31)
5
2650 (14.8%)
1.27 (1.20-1.34)
6
2283 (12.7%)
1
7
2512 (14.0%)
1.20 (1.13-1.26)
8
2136 (11.9%)
1.20 (1.13-1.27)
9
1734 (9.7%)
1.29 (1.21-1.37)
10
1350 (7.5%)
1.25 (1.17-1.34)
11
864 (4.8%)
1.22 (1.13-1.32)
12
601 (3.3%)
1.34 (1.22-1.46)
Low socioeconomic disadvantage

* Multiple logistic regression odds ratios adjusted for sex, age and socioeconomic disadvantage index score dummy variables (model chi-squared, 12797.77; df, 25; P < 0.001). Dichotomous dependent variable (1 = acupuncture service claims, 0 = other service claims). CI = confidence interval. Source: Health Insurance Commission 1996.
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