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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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 |
work_keys_str_mv |
AT rahelehkhorsan externalvalidityandmodelvalidityaconceptualapproachforsystematicreviewmethodology AT cindycrawford externalvalidityandmodelvalidityaconceptualapproachforsystematicreviewmethodology |
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