Literature DB >> 29962059

Measuring the interference of pain on daily life in persons with spinal cord injury: A Rasch-validated subset of items from the Brief Pain Inventory interference scale.

Brittany N Hand1, Craig A Velozo1, James S Krause1.   

Abstract

BACKGROUND/AIM: Up to 60% of individuals report chronic pain after traumatic spinal cord injury (SCI). Measurement of the degree to which pain interferes with activities and emotions can provide valuable clinical insights with implications for pain management interventions. One questionnaire that can be used to quantify the impact of pain is the Brief Pain Inventory (BPI) interference scale, a seven-item self-report assessment. Our objective was to examine the Rasch measurement properties of the BPI interference scale for measuring pain interference in persons with SCI.
METHODS: A secondary analysis of cross-sectional, population-based, self-report data was conducted. Participants were adults with traumatic SCI with residual effects who were at least one year post-injury and 18 years of age (n = 876). Rasch analysis was used to evaluate the measurement properties of the BPI interference items for persons with SCI.
RESULTS: Two BPI interference scale items were excluded from analysis due to high rates of missing data. Of the remaining five items, four items demonstrated acceptable measurement properties in the SCI population.
CONCLUSION: Four of the original seven BPI interference items provide acceptable measurements of pain interference in the SCI population.
© 2018 Occupational Therapy Australia.

Entities:  

Keywords:  pain; pain management; psychometrics; self report; spinal cord injuries

Mesh:

Year:  2018        PMID: 29962059      PMCID: PMC8033649          DOI: 10.1111/1440-1630.12493

Source DB:  PubMed          Journal:  Aust Occup Ther J        ISSN: 0045-0766            Impact factor:   1.856


  14 in total

1.  Interference due to pain following spinal cord injury: important predictors and impact on quality of life.

Authors:  John David Putzke; Scott J Richards; Bret L Hicken; Michael J DeVivo
Journal:  Pain       Date:  2002-12       Impact factor: 6.961

2.  Lifestyle Redesign® for Chronic Pain Management: A Retrospective Clinical Efficacy Study.

Authors:  Ashley Uyeshiro Simon; Chantelle E R Collins
Journal:  Am J Occup Ther       Date:  2017 Jul/Aug

Review 3.  Spinal cord injury pain.

Authors:  Michael Saulino
Journal:  Phys Med Rehabil Clin N Am       Date:  2014-03-14       Impact factor: 1.784

4.  Development of a PROMIS item bank to measure pain interference.

Authors:  Dagmar Amtmann; Karon F Cook; Mark P Jensen; Wen-Hung Chen; Seung Choi; Dennis Revicki; David Cella; Nan Rothrock; Francis Keefe; Leigh Callahan; Jin-Shei Lai
Journal:  Pain       Date:  2010-07       Impact factor: 6.961

Review 5.  Pain assessment: global use of the Brief Pain Inventory.

Authors:  C S Cleeland; K M Ryan
Journal:  Ann Acad Med Singapore       Date:  1994-03       Impact factor: 2.473

Review 6.  Outcome measures in spinal cord injury: recent assessments and recommendations for future directions.

Authors:  M S Alexander; K D Anderson; F Biering-Sorensen; A R Blight; R Brannon; T N Bryce; G Creasey; A Catz; A Curt; W Donovan; J Ditunno; P Ellaway; N B Finnerup; D E Graves; B A Haynes; A W Heinemann; A B Jackson; M V Johnston; C Z Kalpakjian; N Kleitman; A Krassioukov; K Krogh; D Lammertse; S Magasi; M J Mulcahey; B Schurch; A Sherwood; J D Steeves; S Stiens; D S Tulsky; H J A van Hedel; G Whiteneck
Journal:  Spinal Cord       Date:  2009-04-21       Impact factor: 2.772

7.  The reliability and validity of pain interference measures in persons with spinal cord injury.

Authors:  Katherine A Raichle; Travis L Osborne; Mark P Jensen; Diana Cardenas
Journal:  J Pain       Date:  2006-03       Impact factor: 5.820

Review 8.  Pain prevalence and its determinants after spinal cord injury: a systematic review.

Authors:  S van Gorp; A G Kessels; E A Joosten; M van Kleef; J Patijn
Journal:  Eur J Pain       Date:  2014-05-13       Impact factor: 3.931

9.  A Rasch analysis of the Brief Pain Inventory Interference subscale reveals three dimensions and an age bias.

Authors:  David M Walton; Tyler Beattie; Joseph Putos; Joy C MacDermid
Journal:  J Clin Epidemiol       Date:  2016-01-06       Impact factor: 6.437

10.  Classical Test Theory versus Rasch analysis for quality of life questionnaire reduction.

Authors:  Luis Prieto; Jordi Alonso; Rosa Lamarca
Journal:  Health Qual Life Outcomes       Date:  2003-07-28       Impact factor: 3.186

View more
  1 in total

1.  Body representation among adults with phantom limb pain: Results from a foot identification task.

Authors:  Emma H Beisheim-Ryan; Ryan T Pohlig; Jared Medina; Gregory E Hicks; Jaclyn M Sions
Journal:  Eur J Pain       Date:  2021-09-17       Impact factor: 3.931

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.