The Use of Mathematical Modeling Studies for Evidence Synthesis and Guideline Development: A Glossary
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| Title: | The Use of Mathematical Modeling Studies for Evidence Synthesis and Guideline Development: A Glossary |
|---|---|
| Language: | English |
| Authors: | Porgo, Teegwendé V. (ORCID |
| Source: | Research Synthesis Methods. Mar 2019 10(1):125-133. |
| Availability: | Wiley-Blackwell. 350 Main Street, Malden, MA 02148. Tel: 800-835-6770; Tel: 781-388-8598; Fax: 781-388-8232; e-mail: cs-journals@wiley.com; Web site: http://www.wiley.com/WileyCDA |
| Peer Reviewed: | Y |
| Page Count: | 9 |
| Publication Date: | 2019 |
| Document Type: | Journal Articles Reference Materials - Vocabularies/Classifications Reports - Descriptive |
| Descriptors: | Mathematical Models, Evidence, Glossaries, Medical Research, Epidemiology, Guidelines, Medicine, Public Health |
| DOI: | 10.1002/jrsm.1333 |
| ISSN: | 1759-2879 |
| Abstract: | Mathematical modeling studies are increasingly recognised as an important tool for evidence synthesis and to inform clinical and public health decision-making, particularly when data from systematic reviews of primary studies do not adequately answer a research question. However, systematic reviewers and guideline developers may struggle with using the results of modeling studies, because, at least in part, of the lack of a common understanding of concepts and terminology between evidence synthesis experts and mathematical modellers. The use of a common terminology for modeling studies across different clinical and epidemiological research fields that span infectious and non-communicable diseases will help systematic reviewers and guideline developers with the understanding, characterisation, comparison, and use of mathematical modeling studies. This glossary explains key terms used in mathematical modeling studies that are particularly salient to evidence synthesis and knowledge translation in clinical medicine and public health. |
| Abstractor: | As Provided |
| Entry Date: | 2020 |
| Accession Number: | EJ1254442 |
| Database: | ERIC |
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| Abstract: | Mathematical modeling studies are increasingly recognised as an important tool for evidence synthesis and to inform clinical and public health decision-making, particularly when data from systematic reviews of primary studies do not adequately answer a research question. However, systematic reviewers and guideline developers may struggle with using the results of modeling studies, because, at least in part, of the lack of a common understanding of concepts and terminology between evidence synthesis experts and mathematical modellers. The use of a common terminology for modeling studies across different clinical and epidemiological research fields that span infectious and non-communicable diseases will help systematic reviewers and guideline developers with the understanding, characterisation, comparison, and use of mathematical modeling studies. This glossary explains key terms used in mathematical modeling studies that are particularly salient to evidence synthesis and knowledge translation in clinical medicine and public health. |
|---|---|
| ISSN: | 1759-2879 |
| DOI: | 10.1002/jrsm.1333 |
