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Preventing overuse of laboratory diagnostics: a case study into diagnosing anaemia in Dutch general practice.
Kip, Michelle M A; Oonk, Martijn L J; Levin, Mark-David; Schop, Annemarie; Bindels, Patrick J E; Kusters, Ron; Koffijberg, Hendrik.
Afiliação
  • Kip MMA; Department of Health Technology and Services Research, University of Twente, Technical Medical Center, Faculty of Behavioural, Management and Social Sciences, Enschede, the Netherlands. m.m.a.kip@utwente.nl.
  • Oonk MLJ; Department of Health Technology and Services Research, University of Twente, Technical Medical Center, Faculty of Behavioural, Management and Social Sciences, Enschede, the Netherlands.
  • Levin MD; Department of Internal Medicine, Albert Schweitzer Hospital, Dordrecht, the Netherlands.
  • Schop A; Department of Internal Medicine, Albert Schweitzer Hospital, Dordrecht, the Netherlands.
  • Bindels PJE; Department of General Practice, Erasmus MC, Rotterdam, the Netherlands.
  • Kusters R; Department of Health Technology and Services Research, University of Twente, Technical Medical Center, Faculty of Behavioural, Management and Social Sciences, Enschede, the Netherlands.
  • Koffijberg H; Laboratory for Clinical Chemistry and Haematology, Jeroen Bosch Hospital, Den Bosch, the Netherlands.
BMC Med Inform Decis Mak ; 20(1): 178, 2020 07 31.
Article em En | MEDLINE | ID: mdl-32736551
ABSTRACT

BACKGROUND:

More information is often thought to improve medical decision-making, which may lead to test overuse. This study assesses which out of 15 laboratory tests contribute to diagnosing the underlying cause of anaemia by general practitioners (GPs) and determines a potentially more efficient subset of tests for setting the correct diagnosis.

METHODS:

Logistic regression was performed to determine the impact of individual tests on the (correct) diagnosis. The statistically optimal test subset for diagnosing a (correct) underlying cause of anaemia by GPs was determined using data from a previous survey including cases of real-world anaemia patients.

RESULTS:

Only 9 (60%) of the laboratory tests, and patient age, contributed significantly to the GPs' ability to diagnose an underlying cause of anaemia (CRP, ESR, ferritin, folic acid, haemoglobin, leukocytes, eGFR/MDRD, reticulocytes and serum iron). Diagnosing the correct underlying cause may require just five (33%) tests (CRP, ferritin, folic acid, MCV and transferrin), and patient age.

CONCLUSIONS:

In diagnosing the underlying cause of anaemia a subset of five tests has most added value. The real-world impact of using only this subset should be further investigated. As illustrated in this case study, a statistical approach to assessing the added value of tests may reduce test overuse.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Medicina Geral / Anemia Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: BMC Med Inform Decis Mak Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Holanda

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Medicina Geral / Anemia Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: BMC Med Inform Decis Mak Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Holanda