Framework for improving outcome prediction for acute to chronic low back pain transitions.

Journal Article (Journal Article;Review)

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.

Full Text

Duke Authors

Cited Authors

  • George, SZ; Lentz, TA; Beneciuk, JM; Bhavsar, NA; Mundt, JM; Boissoneault, J

Published Date

  • 2020

Published In

Volume / Issue

  • 5 / 2

Start / End Page

  • e809 -

PubMed ID

  • 32440606

Pubmed Central ID

  • PMC7209816

Electronic International Standard Serial Number (EISSN)

  • 2471-2531

Digital Object Identifier (DOI)

  • 10.1097/PR9.0000000000000809


  • eng

Conference Location

  • United States