Literature DB >> 8254273

Evaluation of impairment related to low back pain.

J R Langworthy1.   

Abstract

Low back pain is the leading cause of disability and expense from work-related conditions in the United States. Forty percent of the expense of the worker's compensation program is spent on claims involving the low back. There are several systems of impairment evaluation in use in the United States, but the most commonly used has been developed by the American Medical Association. Evaluation of impairment related to the low back is expressed as a percent impairment of the whole person and is calculated by combining values related to: (1) diagnostic based categories, (2) range of motion of the spine, and (3) neurologic deficits in the lower extremities. Using this system, and given a cooperative patient, a reproducible quantification of impairment can be obtained to help administrators of the worker's compensation system more fairly compensate injured workers for partial permanent disability.

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Year:  1993        PMID: 8254273     DOI: 10.1007/bf00996954

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  5 in total

Review 1.  Back pain and sciatica.

Authors:  J W Frymoyer
Journal:  N Engl J Med       Date:  1988-02-04       Impact factor: 91.245

2.  Conservative therapy for low back pain. Distinguishing useful from useless therapy.

Authors:  R A Deyo
Journal:  JAMA       Date:  1983-08-26       Impact factor: 56.272

3.  Epidemiology and impact of low-back pain.

Authors:  J L Kelsey; A A White
Journal:  Spine (Phila Pa 1976)       Date:  1980 Mar-Apr       Impact factor: 3.468

4.  Back injuries in industry: a retrospective study. II. Injury factors.

Authors:  S J Bigos; D M Spengler; N A Martin; J Zeh; L Fisher; A Nachemson; M H Wang
Journal:  Spine (Phila Pa 1976)       Date:  1986-04       Impact factor: 3.468

5.  Back injuries in industry: a retrospective study. III. Employee-related factors.

Authors:  S J Bigos; D M Spengler; N A Martin; J Zeh; L Fisher; A Nachemson
Journal:  Spine (Phila Pa 1976)       Date:  1986-04       Impact factor: 3.468

  5 in total
  1 in total

1.  Effective automated prediction of vertebral column pathologies based on logistic model tree with SMOTE preprocessing.

Authors:  Esra Mahsereci Karabulut; Turgay Ibrikci
Journal:  J Med Syst       Date:  2014-04-22       Impact factor: 4.460

  1 in total

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