Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Predicting recovery using continuous low back pain outcome measures.

S A Ferguson1, P Gupta, W S Marras

  • 1Biodynamics Laboratory, The Ohio State University, 210 Baker Systems, 1971 Neil Avenue, Columbus, OH 43210, USA. ferguson.4@osu.edu

The Spine Journal : Official Journal of the North American Spine Society
|November 1, 2003
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Brain biopsies requiring Creutzfeldt-Jakob disease precautions in the Republic of Ireland 2005-2016.

Irish journal of medical science·2017
Same author

Parent-child activity group treatment in preventive psychiatry.

Occupational therapy in health care·2013
Same author

Compliance with the North American Guidelines for Children's Agricultural Tasks (NAGCAT) work practice recommendations for youth working with large animals.

Journal of agromedicine·2011
Same author

Compliance with NAGCAT work practices recommendations for youth cleaning service alleys in stall barns.

Journal of agricultural safety and health·2011
Same author

Transverse-momentum and pseudorapidity distributions of charged hadrons in pp collisions at square root of s = 7 TeV.

Physical review letters·2010
Same author

First measurement of Bose-Einstein correlations in proton-proton collisions at √s=0.9 and 2.36 TeV at the LHC.

Physical review letters·2010

Predicting low back pain recovery is possible using initial patient data. This study shows continuous outcome measures accurately forecast recovery rates, aiding in personalized treatment plans.

Area of Science:

  • Biomedical research
  • Clinical outcomes research
  • Pain management

Background:

  • Limited research exists on predicting recovery using continuous outcome measures with multiple follow-up visits.
  • Continuous outcome measures and multiple assessments are crucial for evaluating recovery rates in low back pain (LBP).

Purpose of the Study:

  • To predict LBP outcomes by quantifying initial patient conditions.
  • To establish predictive models for LBP recovery trajectories.

Main Methods:

  • Prospective study design with LBP patients enrolled within the first month of symptoms and followed for 3 months.
  • Utilized regression models incorporating psychological, psychosocial, physical workplace, and personal factors to predict recovery rates.
  • Assessed four major outcome measures: functional performance probability, symptom intensity, activities of daily living impairment, and a summary outcome.

Related Experiment Videos

Main Results:

  • High predictive accuracy for recovery rates: R-squared values ranged from 0.77 (symptom intensity) to 0.96 (summary outcome measure).
  • Identified two distinct functional performance recovery patterns: steady improvement and a rapid improvement.
  • A discriminant function model accurately predicted recovery patterns in 91% of cases based on initial conditions.

Conclusions:

  • Initial patient conditions can accurately predict continuous outcome measures for LBP.
  • Predictive modeling offers a valuable tool for understanding and forecasting LBP recovery.