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|
State/Territory |
Number of prescriptions |
Population |
Number of prescriptions per 1000 population |
|---|---|---|---|
|
New South Wales |
61 145 |
6 463 455 |
9.5 |
|
Victoria |
31 915 |
4 765 856 |
6.7 |
|
Queensland |
29 359 |
3 566 357 |
8.2 |
|
Western Australia |
64 695 |
1 497 634 |
43.2 |
|
South Australia |
19 225 |
1 883 860 |
10.2 |
|
Tasmania |
7 663 |
470 376 |
16.3 |
|
Northern Territory |
891 |
195 463 |
4.6 |
|
ACT |
2 641 |
310 839 |
8.5 |
|
Australia |
217 534 |
19 157 037 |
11.3 |
Sources: Commonwealth Department of Health and Aged Care; Australian Bureau of Statistics, Population by Age and Sex, June 2000 (ABS 3201.0).
It is to be expected that differences will be apparent between Federal electorates with regard to the dispensing of prescriptions for medication to treat ADHD. Electorates differ substantially, for example, in their proportion of school-aged children. Differences may also be influenced by the location of medical practitioners and specialists and to a lesser extent by the location of pharmacies. In addition, the differences between the States and Territories evident in the data presented in Table 1 above could be expected to be reflected to some extent in data on the number of prescriptions by Federal electorate.
Table 2 below provides a ranking of each Federal electorate by the number of prescriptions dispensed for dexamphetamine sulfate under the PBS in 1999-2000. This data has been derived from data on the number of prescriptions dispensed for dexamphetamine sulfate, by postcode, provided by the Commonwealth Department of Health and Aged Care. Similar data is not readily available for Ritalin. It should be noted that the Department of Health and Aged Care collects data by the postcode of the pharmacy dispensing each prescription.
The data in Table 2 reveals that the top ten Federal electorates in terms of the number of prescriptions dispensed for dexamphetamine sulfate in 1999-2000 are all in Western Australia. This is perhaps not surprising given that more prescriptions for this drug are dispensed in Western Australia than any other jurisdiction. However, considerable differences are apparent within this group. It can be observed, for example, that the number of prescriptions in the top ranked electorate (Canning) are more than double that of the tenth ranked electorate (Fremantle).
Differences are apparent also in the location and characteristics of the top ranked electorates within each of the other jurisdictions. For example, the top ranked electorate in New South Wales is the seat of Chifley, located in the western suburbs of Sydney. Ranked second in New South Wales is the electorate of Cowper, located on that State's rural mid-north coast. Of the top ten electorates in New South Wales, seven are located outside of Sydney.
In Victoria and Queensland, the top ranked electorates are located outside of the State capitals, in the seats of Corio and Oxley respectively. Victoria has only 3 electorates in the national top 50, none of which is located in Melbourne. In South Australia, the top ranking is held by the seat of Bonython, located in Adelaide. This is followed by the metropolitan electorate of Kingston, with the large rural electorate of Grey ranked third of the South Australian electorates. In Tasmania, the seat of Bass in the north of the State is the top ranked electorate.
Even in the ACT, commonly regarded as an homogenous Territory, differences are apparent. The electorate of Canberra is ranked 42nd of the 148 Federal electorates, while the other ACT electorate, Fraser, is ranked 68th. Eden-Monaro, the NSW rural electorate that abuts the ACT, is ranked 43rd. Finally, the large Western Australian electorate of Kalgoorlie had almost twice the number of prescriptions dispensed compared with the electorate of the Northern Territory.
Numbers of prescriptions and socioeconomic factors
The tables at Appendix 1 to 6 present, for each State, the electorates with the highest, second highest and lowest number of prescriptions for dexamphetamine sulfate, together with data on a range of socioeconomic variables gleaned from the most recent Census.(26) These comparisons are provided in order to ascertain whether there are any factors that might help to explain why some electorates have a much higher number of prescriptions for this medication to treat ADHD.
Table 2: Electoral Divisions ranked by the number of prescriptions for dexamphetamine sulfate 1999-2000
|
Rank |
Electoral Division |
Party |
Number |
Rank |
Electoral Division |
Party |
Number |
||
|---|---|---|---|---|---|---|---|---|---|
|
1 |
Canning (WA) |
ALP |
8643 |
75 |
Bendigo (Vic) |
ALP |
1027 |
||
|
2 |
Brand (WA) |
ALP |
7085 |
76 |
Mallee (Vic) |
NP |
1014 |
||
|
3 |
Tangney (WA) |
LIB |
5163 |
77 |
McPherson (Qld) |
LIB |
1012 |
||
|
4 |
Pearce (WA) |
LIB |
4799 |
78 |
La Trobe (Vic) |
LIB |
1005 |
||
|
5 |
O'Connor (WA) |
LIB |
4536 |
79 |
Barker (SA) |
LIB |
988 |
||
|
6 |
Cowan (WA) |
ALP |
4324 |
80 |
Fairfax (Qld) |
LIB |
982 |
||
|
7 |
Perth (WA) |
ALP |
4272 |
81 |
Cook (NSW) |
LIB |
979 |
||
|
8 |
Stirling (WA) |
ALP |
4237 |
82 |
Calwell (Vic) |
ALP |
977 |
||
|
9 |
Moore (WA) |
LIB |
4234 |
83 |
Wide Bay (Qld) |
NP |
971 |
||
|
10 |
Fremantle (WA) |
ALP |
4083 |
84 |
Fowler (NSW) |
ALP |
968 |
||
|
11 |
Bonython (SA) |
ALP |
4054 |
85 |
Capricornia (Qld) |
ALP |
967 |
||
|
12 |
Swan (WA) |
ALP |
4010 |
86 |
Moncrieff (Qld) |
LIB |
955 |
||
|
13 |
Curtin (WA) |
LIB |
3848 |
87 |
Herbert (Qld) |
LIB |
947 |
||
|
14 |
Chifley (NSW) |
ALP |
3129 |
88 |
Fisher (Qld) |
LIB |
943 |
||
|
15 |
Oxley (Qld) |
ALP |
3078 |
89 |
Boothby (SA) |
LIB |
936 |
||
|
16 |
Forrest (WA) |
LIB |
3057 |
90 |
Bowman (Qld) |
ALP |
920 |
||
|
17 |
Kingston (SA) |
ALP |
3041 |
91 |
Casey (Vic) |
LIB |
908 |
||
|
18 |
Corio (Vic) |
ALP |
2747 |
92 |
Flinders (Vic) |
LIB |
907 |
||
|
19 |
McMillan (Vic) |
ALP |
2717 |
93 |
Sturt (SA) |
LIB |
904 |
||
|
20 |
Cowper (NSW) |
NP |
2564 |
94 |
Northern Territory (NT) |
ALP |
891 |
||
|
21 |
Lyne (NSW) |
NP |
2457 |
95 |
Berowra (NSW) |
LIB |
879 |
||
|
22 |
Hunter (NSW) |
ALP |
2397 |
96 |
Hindmarsh (SA) |
LIB |
859 |
||
|
23 |
Paterson (NSW) |
ALP |
2368 |
97 |
Sydney (NSW) |
ALP |
843 |
||
|
24 |
Parkes (NSW) |
NP |
2329 |
98 |
Groom (Qld) |
LIB |
831 |
||
|
25 |
Bass (TAS) |
ALP |
2270 |
99 |
Dawson (Qld) |
NP |
817 |
||
|
26 |
Lindsay (NSW) |
LIB |
2221 |
100 |
Mackellar (NSW) |
LIB |
811 |
||
|
27 |
Calare (NSW) |
IND |
2111 |
101 |
Wannon (Vic) |
LIB |
805 |
||
|
28 |
Grey (SA) |
LIB |
1937 |
102 |
Braddon (TAS) |
ALP |
789 |
||
|
29 |
Rankin (Qld) |
ALP |
1930 |
103 |
Parramatta (NSW) |
LIB |
774 |
||
|
30 |
Charlton (NSW) |
ALP |
1897 |
104 |
Isaacs (Vic) |
ALP |
762 |
||
|
31 |
Longman (Qld) |
LIB |
1822 |
105 |
Holt (Vic) |
ALP |
759 |
||
|
32 |
Blair (Qld) |
LIB |
1772 |
106 |
Mitchell (NSW) |
LIB |
751 |
||
|
33 |
Greenway (NSW) |
ALP |
1726 |
107 |
Ballarat (Vic) |
LIB |
738 |
||
|
34 |
Dobell (NSW) |
ALP |
1702 |
108 |
Fadden (Qld) |
LIB |
729 |
||
|
35 |
Gwydir (NSW) |
NP |
1676 |
109 |
Brisbane (Qld) |
ALP |
728 |
||
|
36 |
Kalgoorlie (WA) |
LIB |
1667 |
110 |
Ryan (Qld) |
LIB |
714 |
||
|
37 |
Forde (Qld) |
LIB |
1627 |
111 |
Maranoa (Qld) |
NP |
693 |
||
|
38 |
Franklin (TAS) |
ALP |
1554 |
112 |
Banks (NSW) |
ALP |
691 |
||
|
39 |
Denison (TAS) |
ALP |
1551 |
113 |
Griffith (Qld) |
ALP |
691 |
||
|
40 |
Macquarie (NSW) |
LIB |
1506 |
114 |
Prospect (NSW) |
ALP |
669 |
||
|
41 |
Lyons (TAS) |
ALP |
1499 |
115 |
Farrer (NSW) |
NP |
665 |
||
|
42 |
Canberra (ACT) |
ALP |
1487 |
116 |
Cunningham (NSW) |
ALP |
657 |
||
|
43 |
Eden-Monaro (NSW) |
LIB |
1480 |
117 |
Deakin (Vic) |
LIB |
647 |
||
|
44 |
Petrie (Qld) |
LIB |
1452 |
118 |
Lilley (Qld) |
ALP |
633 |
||
|
45 |
Wakefield (SA) |
LIB |
1450 |
119 |
Moreton (Qld) |
LIB |
632 |
||
|
46 |
Werriwa (NSW) |
ALP |
1444 |
120 |
Reid (NSW) |
ALP |
612 |
||
|
47 |
Riverina (NSW) |
NP |
1431 |
121 |
Scullin (Vic) |
ALP |
597 |
||
|
48 |
Burke (Vic) |
ALP |
1427 |
122 |
Bradfield (NSW) |
LIB |
580 |
||
|
49 |
New England (NSW) |
NP |
1397 |
123 |
North Sydney (NSW) |
LIB |
571 |
||
|
50 |
Adelaide (SA) |
LIB |
1369 |
124 |
Chisholm (Vic) |
ALP |
571 |
||
|
51 |
Shortland (NSW) |
ALP |
1359 |
125 |
Wentworth (NSW) |
LIB |
571 |
||
|
52 |
Gippsland (Vic) |
NP |
1358 |
126 |
Gellibrand (Vic) |
ALP |
520 |
||
|
53 |
Macarthur (NSW) |
LIB |
1335 |
127 |
Melbourne (Vic) |
ALP |
512 |
||
|
54 |
Newcastle (NSW) |
ALP |
1333 |
128 |
Kingsford-Smith (NSW) |
ALP |
505 |
||
|
55 |
Makin (SA) |
LIB |
1302 |
129 |
Bruce (Vic) |
ALP |
479 |
||
|
56 |
McEwen (Vic) |
LIB |
1269 |
130 |
Leichhardt (Qld) |
LIB |
467 |
||
|
57 |
Dickson (Qld) |
ALP |
1244 |
131 |
Barton (NSW) |
ALP |
455 |
||
|
58 |
Hume (NSW) |
LIB |
1244 |
132 |
Wills (Vic) |
ALP |
455 |
||
|
59 |
Mayo (SA) |
LIB |
1223 |
133 |
Blaxland (NSW) |
ALP |
448 |
||
|
60 |
Corangamite (Vic) |
LIB |
1216 |
134 |
Kennedy (Qld) |
NP |
439 |
||
|
61 |
Gilmore (NSW) |
LIB |
1213 |
135 |
Bennelong (NSW) |
LIB |
434 |
||
|
62 |
Hughes (NSW) |
LIB |
1194 |
136 |
Batman (Vic) |
ALP |
421 |
||
|
63 |
Page (NSW) |
NP |
1191 |
137 |
Jagajaga (Vic) |
ALP |
412 |
||
|
64 |
Aston (Vic) |
LIB |
1179 |
138 |
Grayndler (NSW) |
ALP |
370 |
||
|
65 |
Throsby (NSW) |
ALP |
1176 |
139 |
Watson (NSW) |
ALP |
370 |
||
|
66 |
Robertson (NSW) |
LIB |
1171 |
140 |
Maribyrnong (Vic) |
ALP |
366 |
||
|
67 |
Port Adelaide (SA) |
ALP |
1162 |
141 |
Warringah (NSW) |
LIB |
348 |
||
|
68 |
Fraser (ACT) |
ALP |
1154 |
142 |
Lowe (NSW) |
ALP |
346 |
||
|
69 |
Hinkler (Qld) |
NP |
1137 |
143 |
Menzies (Vic) |
LIB |
331 |
||
|
70 |
Lalor (Vic) |
ALP |
1121 |
144 |
Goldstein (Vic) |
LIB |
292 |
||
|
71 |
Dunkley (Vic) |
LIB |
1120 |
145 |
Melbourne Ports (Vic) |
ALP |
292 |
||
|
72 |
Indi (Vic) |
LIB |
1097 |
146 |
Hotham (Vic) |
ALP |
286 |
||
|
73 |
Richmond (NSW) |
NP |
1061 |
147 |
Kooyong (Vic) |
LIB |
275 |
||
|
74 |
Murray (Vic) |
LIB |
1035 |
148 |
Higgins (Vic) |
LIB |
271 |
||
Some interesting observations can be drawn from the data in these tables. Electorates covering outer metropolitan areas(27) account for the highest or second highest number of prescriptions in each State except Victoria. Electorates covering inner metropolitan areas account for the lowest number of prescriptions in New South Wales, Victoria and South Australia, but rural electorates account for the lowest number of prescriptions in Western Australia, Queensland and Tasmania. Provincial electorates account for the highest or second highest number of prescriptions in Victoria, Western Australia and Tasmania.
In New South Wales, Victoria and South Australia, the electorate with the lowest number of prescriptions also has a much lower proportion of children in the 5-14 years age range and a much lower proportion of persons attending school. However, the electorates with the lowest number of prescriptions in both Queensland and Western Australia have only slightly lower proportions of children aged 5-14 and persons attending school than the electorates in those States with the highest number of prescriptions. In Tasmania, the electorate of Braddon has a higher proportion of children aged 5-14 and a higher proportion of persons attending school but has around only one-third the number of prescriptions for dexamphetamine sulfate than does the electorate of Bass.
Examining income, the electorates with the highest number of prescriptions in New South Wales, Victoria and Western Australia all have a significantly higher proportion of families with a weekly income below $500 than the electorate with the lowest number of prescriptions. However, this is not the case in Queensland, South Australia and Tasmania. A comparison of the unemployment rate in each electorate reveals a similar picture, with the exception of Queensland. The electorate with the lowest number of prescriptions in Queensland also had a significantly lower rate of unemployment, a situation similar to that in New South Wales, Victoria and Western Australia.
Two caveats need to be placed upon the foregoing discussion. It is possible that the prescribing practices of a small number of practitioners in each jurisdiction could be responsible for some of the variation evident in the figures in table 2 and the appendices. For example, a study on medication for ADHD in Adelaide found that five prescribers accounted for 61 per cent of patients in 1996.(28) It has also been suggested that while there may be a variety of reasons that contribute to the regional differences:
often it comes down to small numbers of high profile, often academic individuals at a teaching hospital who maybe believe strongly in the benefits of medication, and teaching the trainees for a generation in that particular town that stimulants are good and therefore you get lots of children being prescribed. Whereas you might have in another town more psychologically based clinicians who are less inclined to use medication.(29)
In addition, it was noted earlier that around 96 000 prescriptions for Ritalin were dispensed in Australia in 1999-2000. Because this drug is not subsidised under the PBS, national data similar to that for dexamphetamine sulfate is not readily available. It is likely, however, that a different pattern would be apparent between electorates for prescriptions dispensed for Ritalin than is evident for dexamphetamine sulfate.
It is clear from the data in the attached tables for each State and the discussion above that socioeconomic data alone do not explain why such wide differences exist between electorates in the number of prescriptions dispensed for dexamphetamine sulfate. None of the socioeconomic factors examined in this paper can explain consistently the reasons why such differences exist. Particular factors such as a higher unemployment rate and lower levels of family income appear to be significant in some jurisdictions, but this is not consistent across all States. The picture is similar for the proportion of school-aged children in different electorates.
Outer metropolitan electorates have the highest or second highest numbers of prescriptions in each State except Victoria. This is intriguing, but there do not appear to be any other factors present that help to explain consistently why this should be the case. While the location of particular prescribers cannot conclusively be ruled-out as an important factor, the mix of electorates with high and low numbers of prescriptions would seem to indicate that it does not consistently explain the variations evident in the data.
If it is accepted that practitioners in Western Australia are more highly skilled in recognising ADHD than their counterparts in other States, it might be expected that greater consistency would be evident in the number of prescriptions dispensed in WA electorates. While this is true to an extent, there is still considerable variation; from in excess of 8000 prescriptions in the electorate of Canning to less than 2000 in Kalgoorlie.
It appears from the data discussed in this paper that decisions on the treatment of ADHD with dexamphetamine sulfate may not always be evidence-based. If this is the case, the one conclusion that does appear to be sustainable is that the interests of Australia's children and their families are unlikely to be well served by such variation between electorates. Australia appears to be some way from best practice in the prescribing of such medication for the treatment of ADHD.
|
Variable |
Canning |
Brand |
Kalgoorlie |
|---|---|---|---|
|
Demographic rating |
Outer metropolitan |
Provincial |
Rural |
|
Number of prescriptions |
8643 |
7085 |
1667 |
|
Prop. children aged 5-14 years |
17.2 % |
17.2% |
15.1% |
|
Proportion persons attending school* |
18.5% |
18.2% |
14.2% |
|
Proportion couple families with dependent children |
41.9% |
40.0% |
48.1% |
|
Prop. one parent families with dependent children |
10.9% |
11.2% |
10.4% |
|
Prop. families weekly income below $500 |
33.2% |
39.6% |
24.2% |
|
Prop. families weekly income $1500 and above |
7.8% |
7.0% |
20.4% |
|
Unemployment rate (Census 1996) |
9.6% |
11.9% |
5.8% |
*infants, primary and secondary school
Sources: A Kopras, Electorate Rankings: Census 1996; Department of Health and Aged Care, Electorate Profiles, June 2000.
|
Variable |
Chifley |
Cowper |
Warringah |
|---|---|---|---|
|
Demographic rating |
Outer metropolitan |
Rural |
Inner metropolitan |
|
Number of prescriptions |
3129 |
2564 |
348 |
|
Prop. children aged 5-14 years |
18.3% |
16.4% |
10.5% |
|
Proportion persons attending school* |
20.5% |
18.8% |
12.5% |
|
Proportion couple families with dependent children |
46.3% |
37.2% |
35.9% |
|
Prop. one parent families with dependent children |
15.1% |
13.0% |
6.8% |
|
Prop. families weekly income below $500 |
31.9% |
51.2% |
16.8% |
|
Prop. families weekly income $1500 and above |
9.1% |
3.9% |
34.8% |
|
Unemployment rate (Census 1996) |