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Mahendra G Patel a School of
Pharmacy, University of Bradford, Bradford BD7 1DP, b School of Computing and Mathematics, University of
Bradford, c Health Inequalities Research Group, Department of
Primary Care and General Practice, University of Birmingham, Birmingham
B15 2TT Correspondence to: M G Patel
m.g.patel{at}bradford.ac.uk
Coronary heart disease is the major cause of
morbidity and mortality in the South Asian population in the United
Kingdom, and its incidence is higher than in the white
population.1 This excess risk seems to be determined by a
combination of metabolic factors leading to the insulin resistance
syndrome, psychosocial factors, and established risk
factors.2 Ten out of 15 coronary risk factors measured
were reported to be higher in South Asian patients than in their
European counterparts, and several of these factors are believed to
reflect relative deprivation. South Asian people are also at risk owing
to high triglyceride concentrations and low concentrations of high
density lipoprotein cholesterol. Although substantial evidence shows
the value of lowering cholesterol in people at risk, studies have shown
that many patients are not receiving appropriate
treatment.3 We investigated the relation between ethnicity
and prescribing of lipid lowering drugs.
We approached all general practices in one health authority
to obtain consent to use their prescribing analyses and cost data for
1996-7. Sixty two (63.9%) of 97 practices gave consent. We obtained
the following information for each practice from the health authority:
proportion of South Asian patients in the nested age bands 35-69, 40-69, 45-69, 50-69, and 55-69, identified by using name based analysis
software (Nam Pehchan)4; whether single handed or group
practice; proportion of general practitioners of South Asian origin;
fundholding status (particularly relevant at the time); Jarman index
(surrogate measure for practice workload) for the practice's council
ward; and Townsend score (measure of deprivation) for the ward.
Comparative analyses of these demographic factors for each practice
showed that consenting and non-consenting practices did not differ
significantly (table).
We determined the number of defined daily doses of all lipid lowering
drugs prescribed per 1000 South Asian patients in each nested age band
for each consenting practice. We used multiple regression analysis
(backward and forward selection techniques) to explore the relation
between the number of defined daily doses prescribed per 1000 patients
(aged 35 to 69) and the practice characteristics. Because of
non-linearity and heteroscedasticity of the residual errors, we
reanalysed the data after logarithmic transformation of the response
variable. We identified two practices as extreme cases (as defined by
SPSS) and excluded them from the analysis.
The median number of defined daily doses per 1000 patients was 4775 (interquartile range 2592 to 7336). Owing to strong correlation, we
analysed Townsend score and Jarman index separately. The table shows
the factors ranked in order of importance for predicting volume of
prescribing, with Townsend score included. The parsimonious model
includes only the percentage of South Asian patients and deprivation of
the practice ward. The negative regression coefficients indicate
reduction of prescribing levels with increasing numbers of South Asian
patients and levels of deprivation. The results were not significantly
changed by use of the various nested age bands or by replacement of
Townsend score with Jarman index.
Patients in practices with a greater South Asian population are
less likely to be prescribed lipid lowering drugs. This may be
surprising, given the higher cardiovascular morbidity and mortality among South Asian people in the United Kingdom1 and a
possible need for lipid lowering treatment that is equal to, if not
greater than, that for the white population.2 Although
this type of analysis does not show a causal link between ethnicity,
deprivation, and the prescribing of lipid lowering drugs, the
identified trend may demand explanation. Further analysis is needed to
ascertain the effects of subsequent prescribing guidelines and recent
government strategies promoting the use of lipid lowering
drugs.5 Given the limitations of an ecological study, a
standardised assessment is needed to determine the extent of unmet need
and risk profiles at the level of the individual patient.
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Methods and results
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Methods and results
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References
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Comment
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Methods and results
Comment
References
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Acknowledgments |
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We thank D Naylor, R J Naylor, A Hobbiss, and E Kernohan for providing invaluable support and guidance throughout and Bradford Health Authority and all participating general practices for permitting data collection.
Contributors: MP developed the idea, obtained and analysed the data, and is the study guarantor. All authors contributed to the writing of the paper.
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Footnotes |
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Funding: None.
Competing interests: None declared.
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References |
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| 1. |
Wild S, McKeigue P.
Cross sectional analysis of mortality by country of birth in England and Wales, 1970-92.
BMJ
1997;
314:
705-710 |
| 2. |
Bhopal R, Unwin N, White M, Yallop J, Walker L, Alberti KGMM, et al.
Heterogeneity of coronary heart disease risk factors in Indian, Pakistani, Bangladeshi, and European origin populations: cross sectional study.
BMJ
1999;
319:
215-220 |
| 3. |
Primatesta P, Poulter NR.
Lipid concentrations and the use of lipid lowering drugs: evidence from a national cross sectional survey.
BMJ
2000;
321:
1322-1325 |
| 4. |
Cummins C, Winter H, Cheng KK, Maric R, Silcocks P, Varghese C.
An assessment of the Nam Pehchan computer program for the identification of names of South Asian origin.
J Public Health Med
1999;
21:
401-406 |
| 5. | Department of Health. National service framework for coronary heart disease: modern standards and service models. London: Stationery Office, 2000. |
(Accepted 15 January 2002)
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