Title |
PRECEPT: an evidence assessment framework for infectious disease epidemiology, prevention and control
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Published in |
Eurosurveillance, October 2017
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DOI | 10.2807/1560-7917.es.2017.22.40.16-00620 |
Pubmed ID | |
Authors |
Thomas Harder, Anja Takla, Tim Eckmanns, Simon Ellis, Frode Forland, Roberta James, Joerg J Meerpohl, Antony Morgan, Eva Rehfuess, Holger Schünemann, Teun Zuiderent-Jerak, Helena de Carvalho Gomes, Ole Wichmann |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 14% |
Germany | 1 | 7% |
United Kingdom | 1 | 7% |
Finland | 1 | 7% |
Sweden | 1 | 7% |
Unknown | 8 | 57% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 9 | 64% |
Scientists | 3 | 21% |
Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 30 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 6 | 20% |
Researcher | 4 | 13% |
Other | 2 | 7% |
Student > Doctoral Student | 2 | 7% |
Professor > Associate Professor | 2 | 7% |
Other | 7 | 23% |
Unknown | 7 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 11 | 37% |
Computer Science | 3 | 10% |
Environmental Science | 2 | 7% |
Nursing and Health Professions | 2 | 7% |
Social Sciences | 1 | 3% |
Other | 1 | 3% |
Unknown | 10 | 33% |