External Validity and Model Validity: A Conceptual Approach for Systematic Review Methodology

Background. Evidence rankings do not consider equally internal (IV), external (EV), and model validity (MV) for clinical studies including complementary and alternative medicine/integrative health care (CAM/IHC) research. This paper describe this model and offers an EV assessment tool (EVAT©) for w...

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Main Authors: Raheleh Khorsan, Cindy Crawford
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:Evidence-Based Complementary and Alternative Medicine
Online Access:http://dx.doi.org/10.1155/2014/694804
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spelling doaj-173f5f0d558a44fea47ad48d0743619f2020-11-24T21:54:16ZengHindawi LimitedEvidence-Based Complementary and Alternative Medicine1741-427X1741-42882014-01-01201410.1155/2014/694804694804External Validity and Model Validity: A Conceptual Approach for Systematic Review MethodologyRaheleh Khorsan0Cindy Crawford1Military Medical Research, Samueli Institute, 2101 East Coast Highway, Suite 300, Corona Del Mar, CA 92625, USASamueli Institute, 1737 King Street, Alexandria, VA 22314, USABackground. Evidence rankings do not consider equally internal (IV), external (EV), and model validity (MV) for clinical studies including complementary and alternative medicine/integrative health care (CAM/IHC) research. This paper describe this model and offers an EV assessment tool (EVAT©) for weighing studies according to EV and MV in addition to IV. Methods. An abbreviated systematic review methodology was employed to search, assemble, and evaluate the literature that has been published on EV/MV criteria. Standard databases were searched for keywords relating to EV, MV, and bias-scoring from inception to Jan 2013. Tools identified and concepts described were pooled to assemble a robust tool for evaluating these quality criteria. Results. This study assembled a streamlined, objective tool to incorporate for the evaluation of quality of EV/MV research that is more sensitive to CAM/IHC research. Conclusion. Improved reporting on EV can help produce and provide information that will help guide policy makers, public health researchers, and other scientists in their selection, development, and improvement in their research-tested intervention. Overall, clinical studies with high EV have the potential to provide the most useful information about “real-world” consequences of health interventions. It is hoped that this novel tool which considers IV, EV, and MV on equal footing will better guide clinical decision making.http://dx.doi.org/10.1155/2014/694804
collection DOAJ
language English
format Article
sources DOAJ
author Raheleh Khorsan
Cindy Crawford
spellingShingle Raheleh Khorsan
Cindy Crawford
External Validity and Model Validity: A Conceptual Approach for Systematic Review Methodology
Evidence-Based Complementary and Alternative Medicine
author_facet Raheleh Khorsan
Cindy Crawford
author_sort Raheleh Khorsan
title External Validity and Model Validity: A Conceptual Approach for Systematic Review Methodology
title_short External Validity and Model Validity: A Conceptual Approach for Systematic Review Methodology
title_full External Validity and Model Validity: A Conceptual Approach for Systematic Review Methodology
title_fullStr External Validity and Model Validity: A Conceptual Approach for Systematic Review Methodology
title_full_unstemmed External Validity and Model Validity: A Conceptual Approach for Systematic Review Methodology
title_sort external validity and model validity: a conceptual approach for systematic review methodology
publisher Hindawi Limited
series Evidence-Based Complementary and Alternative Medicine
issn 1741-427X
1741-4288
publishDate 2014-01-01
description Background. Evidence rankings do not consider equally internal (IV), external (EV), and model validity (MV) for clinical studies including complementary and alternative medicine/integrative health care (CAM/IHC) research. This paper describe this model and offers an EV assessment tool (EVAT©) for weighing studies according to EV and MV in addition to IV. Methods. An abbreviated systematic review methodology was employed to search, assemble, and evaluate the literature that has been published on EV/MV criteria. Standard databases were searched for keywords relating to EV, MV, and bias-scoring from inception to Jan 2013. Tools identified and concepts described were pooled to assemble a robust tool for evaluating these quality criteria. Results. This study assembled a streamlined, objective tool to incorporate for the evaluation of quality of EV/MV research that is more sensitive to CAM/IHC research. Conclusion. Improved reporting on EV can help produce and provide information that will help guide policy makers, public health researchers, and other scientists in their selection, development, and improvement in their research-tested intervention. Overall, clinical studies with high EV have the potential to provide the most useful information about “real-world” consequences of health interventions. It is hoped that this novel tool which considers IV, EV, and MV on equal footing will better guide clinical decision making.
url http://dx.doi.org/10.1155/2014/694804
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