Framework for improving outcome prediction for acute to chronic low back pain transitions
- PMID: 32440606
- PMCID: PMC7209816
- DOI: 10.1097/PR9.0000000000000809
Framework for improving outcome prediction for acute to chronic low back pain transitions
Abstract
Clinical practice guidelines and the Federal Pain Research Strategy (United States) have recently highlighted research priorities to lessen the public health impact of low back pain (LBP). It may be necessary to improve existing predictive approaches to meet these research priorities for the transition from acute to chronic LBP. In this article, we first present a mapping review of previous studies investigating this transition and, from the characterization of the mapping review, present a predictive framework that accounts for limitations in the identified studies. Potential advantages of implementing this predictive framework are further considered. These advantages include (1) leveraging routinely collected health care data to improve prediction of the development of chronic LBP and (2) facilitating use of advanced analytical approaches that may improve prediction accuracy. Furthermore, successful implementation of this predictive framework in the electronic health record would allow for widespread testing of accuracy resulting in validated clinical decision aids for predicting chronic LBP development.
Keywords: Chronic pain; Outcome prediction; Pain research.
Copyright © 2020 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of The International Association for the Study of Pain.
Conflict of interest statement
The authors have no conflicts of interest to declare. All authors contributed substantially to the manuscript, including a review of the final version before being submitted for peer review. Some of this content was presented by S.Z. George and T.A. Lentz at the 2017 North Carolina Physical Therapy Association Annual Meeting. The Duke Clinical Research Institute's Communication team assisted with the graphic design of Figure 1.Sponsorships or competing interests that may be relevant to content are disclosed at the end of this article.
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