PRECEPT: An evidence assessment framework for infectious disease epidemiology, prevention and control

Harder, Thomas; Takla, Anja; Eckmanns, Tim; Ellis, Simon; Forland, Frode; James, Roberta; Meerpohl, Joerg J.; Morgan, Antony; Rehfuess, Eva Annette; Schünemann, Holger; Zuiderent-Jerak, Teun; Carvalho Gomes, Helena de und Wichmann, Ole (2017): PRECEPT: An evidence assessment framework for infectious disease epidemiology, prevention and control. In: Eurosurveillance, Bd. 22, Nr. 40: S. 1-10

Abstract

Decisions in public health should be based on the best available evidence, reviewed and appraised using a rigorous and transparent methodology. The Project on a Framework for Rating Evidence in Public Health (PRECEPT) defined a methodology for evaluating and grading evidence in infectious disease epidemiology, prevention and control that takes different domains and question types into consideration. The methodology rates evidence in four domains: disease burden, risk factors, diagnostics and intervention. The framework guiding it has four steps going from overarching questions to an evidence statement. In step 1, approaches for identifying relevant key areas and developing specific questions to guide systematic evidence searches are described. In step 2, methodological guidance for conducting systematic reviews is provided; 15 study quality appraisal tools are proposed and an algorithm is given for matching a given study design with a tool. In step 3, a standardised evidence-grading scheme using the Grading of Recommendations Assessment, Development and Evaluation Working Group (GRADE) methodology is provided, whereby findings are documented in evidence profiles. Step 4 consists of preparing a narrative evidence summary. Users of this framework should be able to evaluate and grade scientific evidence from the four domains in a transparent and reproducible way.

• Dokumententyp: Zeitschriftenartikel
• Keywords: GRADE; decision-making; evidence-based medicine; meta-analysis; methodology; risk of bias; systematic reviews
• Fakultät: Medizin > Institut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie
• Themengebiete: 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit
• ISSN: 1560-7917
• Sprache: Englisch