Relation between general practitioners' prescribing of antibacterial drugs and their use of laboratory tests

Kelsey, M.C.; Kouloumas, George A; Lamport, P. A.; Davis, Cheryl L.

doi:10.1136/bmj.313.7062.922

Cited by 2 publications

(1 citation statement)

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“…In contrast, a recent study from Wales that did eliminate multiple urine samples from analysis showed a statistically significant relationship between trimethoprim prescribing and resistance [37] (table 3). This study was also able to investigate another source of bias, which is the potential for an association between prescribing and use of microbiological diagnostic tests by primary care doctors [42,43]. They found no relationship between the number of trimethoprim prescriptions per 1000 practice population and the number of urinary samples submitted to the laboratory.…”

Section: Study Designs and Their Implications For Bias And Confoundingmentioning

confidence: 93%

Association between Antibiotic Resistance and Community Prescribing: A Critical Review of Bias and Confounding in Published Studies

Steinke¹,

Davey²

2001

CLIN INFECT DIS

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The reported association between antibiotic prescribing and resistance may be subject to bias or confounding. Bias describes any effect at any stage of investigation or inference tending to produce results that depart systematically from the true value. A confounding variable is one that is associated independently with both exposure and outcome. Confounding variables may create an apparent association or mask a real association. Pharmacoepidemiology is the study of the use and the effects of drugs in large numbers of people. We have used standard pharmacoepidemiological methods to investigate sources of bias and confounding in the association between prescribing and resistance. We conclude that the association is statistically valid and that the consistency of evidence supports a cause-effect relationship. Nonetheless, several important sources of bias and confounding must be taken into account in future studies that analyze the impact of prescribing policies on resistance.

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Section: Study Designs and Their Implications For Bias And Confoundingmentioning

confidence: 93%