Diagnostic tests 2: predictive values

Diagnostic tests 2: predictive values

9 July 1994 | Douglas G Altman, J Martin Bland
The article discusses the importance of critically evaluating the benefits of spending on medical audits and soft data. While trust with family health services authorities is crucial, it is not sufficient for future success. The evaluation techniques must consider the work of the medical audit advisory group and find measures that accurately reflect the outcomes of such audits. Simply counting the number of audits in general practice is unlikely to provide an adequate measure of the changes brought about. The author acknowledges the contributions of Manchester general practitioners, their teams, and the medical audit advisory group members and staff for the progress made. Additionally, the article includes a section on diagnostic test predictive values, explaining how these values depend on the prevalence of the condition being tested and how they can be calculated using sensitivity, specificity, and likelihood ratios.The article discusses the importance of critically evaluating the benefits of spending on medical audits and soft data. While trust with family health services authorities is crucial, it is not sufficient for future success. The evaluation techniques must consider the work of the medical audit advisory group and find measures that accurately reflect the outcomes of such audits. Simply counting the number of audits in general practice is unlikely to provide an adequate measure of the changes brought about. The author acknowledges the contributions of Manchester general practitioners, their teams, and the medical audit advisory group members and staff for the progress made. Additionally, the article includes a section on diagnostic test predictive values, explaining how these values depend on the prevalence of the condition being tested and how they can be calculated using sensitivity, specificity, and likelihood ratios.
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