Literature DB >> 26516514

Reproducibility of pain manikins: a comparison of paper versus online questionnaires.

Gareth T Jones1, Ramona Kyabaggu1, Debbi Marais2, Gary J Macfarlane1.   

Abstract

BACKGROUND: In epidemiological studies, pain location is often collected by paper questionnaire using blank body manikins, onto which participants shade the location of their pain(s). However, it is unknown how reliable these will transfer to online questionnaires. The aim of the current study was to determine agreement between online- and paper-based completion of pain manikins.
METHODS: A total of 264 children, aged 15-18 years, completed both an online and a paper questionnaire. Participants were asked to identify the location of their pain by highlighting predefined body areas on a manikin (online) or by shading a blank version of the manikin (paper). The difference in the prevalence of 12 regional/widespread pain conditions was determined, and agreement between online and paper questionnaires was assessed using prevalence- and bias-adjusted kappa (PABAK).
RESULTS: For the majority of pain conditions, prevalence was higher when ascertained by paper questionnaire. However, for the most part, the difference in prevalence was modest (range: -1.1 to 5.7%) the exceptions being hip/thigh pain (difference: 10.6%) and upper back pain (difference: 14.8%). For most pain locations, there was good or very good agreement between paper and online manikins (PABAK range: 0.61 to 0.88). However, identification of pain in the hip/thigh and in the upper back had poorer agreement (PABAK: 0.49 and 0.29, respectively).
CONCLUSIONS: This is the first study to examine the reproducibility of body manikins on different media, in a population-based survey. We have shown that online manikins can be used to capture data on pain location in a manner satisfactorily comparable to paper questionnaires.

Entities:  

Keywords:  Epidemiology; Internet; musculoskeletal pain; pain measurement; questionnaires

Year:  2013        PMID: 26516514      PMCID: PMC4590141          DOI: 10.1177/2049463713487895

Source DB:  PubMed          Journal:  Br J Pain        ISSN: 2049-4637


  21 in total

1.  Web-based questionnaires: the future in epidemiology?

Authors:  Marleen M H J van Gelder; Reini W Bretveld; Nel Roeleveld
Journal:  Am J Epidemiol       Date:  2010-09-29       Impact factor: 4.897

2.  Reporting participation in epidemiologic studies: a survey of practice.

Authors:  Lindsay M Morton; Jack Cahill; Patricia Hartge
Journal:  Am J Epidemiol       Date:  2005-12-07       Impact factor: 4.897

3.  Pain charts (body maps or manikins) in assessment of the location of pediatric pain.

Authors:  Carl L von Baeyer; Vivian Lin; Laura C Seidman; Jennie Ci Tsao; Lonnie K Zeltzer
Journal:  Pain Manag       Date:  2011-01

4.  Extent measurement in localised low-back pain: a comparison of four methods.

Authors:  Peter Bryner
Journal:  Pain       Date:  1994-11       Impact factor: 6.961

5.  Automated scoring of patient pain drawings using artificial neural networks: efforts toward a low back pain triage application.

Authors:  N W Sanders; N H Mann
Journal:  Comput Biol Med       Date:  2000-09       Impact factor: 4.589

6.  Presentation of pain drawings in questionnaire surveys: influence on prevalence of neck and upper limb pain in the community.

Authors:  Rosie J Lacey; Martyn Lewis; Julius Sim
Journal:  Pain       Date:  2003-09       Impact factor: 6.961

7.  Utility of quantitative computerized pain drawings in a sample of spinal stenosis patients.

Authors:  Elizabeth Roy Felix; Karina A Galoian; Chad Aarons; Mark D Brown; Stephen A Kearing; Uwe Heiss
Journal:  Pain Med       Date:  2010-01-15       Impact factor: 3.750

8.  Automated 'pain drawing' analysis by computer-controlled, patient-interactive neurological stimulation system.

Authors:  Richard B North; Daniel J Nigrin; Kim R Fowler; Richard E Szymanski; Steven Piantadosi
Journal:  Pain       Date:  1992-07       Impact factor: 6.961

9.  Predicting persistent low back pain in schoolchildren: a prospective cohort study.

Authors:  Gareth T Jones; Gary J Macfarlane
Journal:  Arthritis Rheum       Date:  2009-10-15

10.  Predicting the onset of widespread body pain among children.

Authors:  Gareth T Jones; Alan J Silman; Gary J Macfarlane
Journal:  Arthritis Rheum       Date:  2003-09
View more
  3 in total

1.  Adaptation and validation of body maps for musculoskeletal pain location in patients with severe obesity.

Authors:  Carolina Rodrigues Mendonça; Matias Noll; Erika Aparecida Silveira
Journal:  Korean J Pain       Date:  2018-10-01

2.  Can large surveys conducted on highly selected populations provide valid information on the epidemiology of common health conditions? An analysis of UK Biobank data on musculoskeletal pain.

Authors:  Gary J Macfarlane; Marcus Beasley; Blair H Smith; Gareth T Jones; Tatiana V Macfarlane
Journal:  Br J Pain       Date:  2015-11

3.  The Graphical Index of Pain: a new web-based method for high-throughput screening of pain.

Authors:  Ólöf Anna Steingrímsdóttir; Bo Engdahl; Per Hansson; Audun Stubhaug; Christopher Sivert Nielsen
Journal:  Pain       Date:  2020-10       Impact factor: 7.926

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.