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J Clin Pathol 2003;56:933-936 doi:10.1136/jcp.56.12.933
  • Original article

Inequalities of primary care microbiology testing between hospital catchment areas

  1. W S A Smellie1,
  2. G Clark2,
  3. C A M McNulty3
  1. 1Clinical Laboratory, General Hospital, Cockton Hill Road, Bishop Auckland, County Durham DL14 6AD, UK
  2. 2Public Health Laboratory, County Hospital, Hereford HR1 2ER, UK
  3. 3Public Health Laboratory, Gloucestershire Royal Hospital, Great Western Road, Gloucester GL1 3NN, UK
  1. Correspondence to:
 Dr W S A Smellie
 Clinical Laboratory, General Hospital, Cockton Hill Road, Bishop Auckland, County Durham DL14 6AD, UK; infosmellie.com
  • Accepted 18 June 2003

Abstract

Aims: To compare differences in microbiology testing activity between general practices within and between five hospitals in two National Health Service (NHS) regions in England.

Methods: Retrospective capture of standardised microbiology testing activity from the laboratory computer databases. Six equivalent tests were identified and compared. Data were obtained for 174 general practices in eight primary care groups, served by two NHS hospital trusts and three public health laboratories. The total catchment population was 1 180 000 people. Comparative test activities were displayed graphically and differences in median test activity and the hospital activity distributions were examined by the Wilcoxon signed rank test.

Results: Median testing activity differed by 200% (urine) to 800% (wound swabs) between the trusts that performed the highest and the lowest number of tests, and from 300% to 1900% between the top and bottom 10% activity bands of general practices. Large and significant differences were found between the hospitals, irrespective of whether they belonged to the same trust, and irrespective of their geographical location.

Conclusions: Large differences in microbiology testing exist within individual trust catchment areas in primary care, and there are also considerable differences between trusts. These inequalities may also introduce a selection bias into epidemiological and antibiotic resistance surveillance. This indicates a widespread need to examine and deal with the reasons responsible for these differences.

Footnotes

  • Dr Smellie is a director of Morley Consulting Ltd, which provides advice to a company that, among others, has an interest in medical software development. Dr Smellie also holds shares in that company. The work in this paper was conducted before this association.

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