Literature DB >> 22975023

Clinical validation of an Internet-based questionnaire for ascertaining hip and knee osteoarthritis.

C Ratzlaff1, M Koehoorn, J Cibere, J Kopec.   

Abstract

OBJECTIVE: To evaluate the measurement properties of an Internet-based self-administered questionnaire in ascertaining cases of hip and knee osteoarthritis (OA).
METHODS: Questionnaire data from 4269 Canadian subjects aged 45-85 were collected on hip and knee joint health including self-reported items on medically-diagnosed hip and knee OA and joint replacement. A sub-cohort of 100 subjects was recruited for clinical examination. The self-reported outcomes were evaluated using the American College of Rheumatology clinical classification criteria for hip and knee OA as the gold standard for clinical verification. Analysis was at the joint level (200 knees, 200 hips). Validity was examined using sensitivity, specificity, and predictive values; to account for correlated joints of the same subject, bootstrapping was performed to yield valid 95% confidence interval (CI's).
RESULTS: Self-reported measures for a medical diagnosis of knee OA had a positive predictive value of 86%, negative predictive value 91%, sensitivity 73% and specificity 96% for correctly identifying clinical knee OA. For hip OA, the values were 61%, 98%, 81% and 94% respectively.
CONCLUSION: Internet self-report of medically-diagnosed hip and knee OA in metro Vancouver residents correctly identified most cases and non-cases of clinical OA when compared with the ACR clinical classification criteria gold standard. In particular, specificity was very high, important in risk factor studies due to the profound effect of even small losses in specificity on the measure of association. The findings provide evidence that these questionnaire case definitions have utility for identifying hip and knee OA in community and population-based studies when the purpose is to link potential risk factors with knee and hip health.
Copyright © 2012 Osteoarthritis Research Society International. Published by Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22975023     DOI: 10.1016/j.joca.2012.08.017

Source DB:  PubMed          Journal:  Osteoarthritis Cartilage        ISSN: 1063-4584            Impact factor:   6.576


  8 in total

1.  Alternative Methods for Defining Osteoarthritis and the Impact on Estimating Prevalence in a US Population-Based Survey.

Authors:  Miriam G Cisternas; Louise Murphy; Jeffrey J Sacks; Daniel H Solomon; David J Pasta; Charles G Helmick
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2.  Harmonising measures of knee and hip osteoarthritis in population-based cohort studies: an international study.

Authors:  K M Leyland; L S Gates; M Nevitt; D Felson; S M Bierma-Zeinstra; P G Conaghan; L Engebretsen; M Hochberg; D J Hunter; G Jones; J M Jordan; A Judge; L S Lohmander; E M Roos; M T Sanchez-Santos; N Yoshimura; J B J van Meurs; M E Batt; J Newton; C Cooper; N K Arden
Journal:  Osteoarthritis Cartilage       Date:  2018-02-07       Impact factor: 6.576

3.  Hand, hip and knee osteoarthritis in a Norwegian population-based study--the MUST protocol.

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Journal:  BMC Musculoskelet Disord       Date:  2013-07-05       Impact factor: 2.362

4.  Validating and reliability testing the descriptive data and three different disease diagnoses of the internet-based DOGRISK questionnaire.

Authors:  Johanna Roine; Liisa Uusitalo; Anna Hielm-Björkman
Journal:  BMC Vet Res       Date:  2016-02-20       Impact factor: 2.741

5.  Validation of screening questionnaires for evaluation of knee osteoarthritis prevalence in the general population of Singapore.

Authors:  Ying-Ying Leung; Stefan Ma; Maria Noviani; Steven B-S Wong; Chee Min Lee; Irene A-L Soh; Julian Thumboo
Journal:  Int J Rheum Dis       Date:  2017-12-21       Impact factor: 2.454

6.  Treatment satisfaction with pharmaceutical interventions in Japanese adults with osteoarthritis and chronic knee pain: an analysis of a web-based survey.

Authors:  Kaname Ueda; Nao Sasaki; Amir Goren; Shawna R Calhoun; Katsuhiro Shinjo; Hiroyuki Enomoto; Takeshi Muneta
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7.  Agreement Between Self-Reported Information and Administrative Data on Comorbidities, Imaging and Treatment in Denmark - A Validation Study of 38,745 Patients with Knee or Hip Osteoarthritis.

Authors:  Halit Selçuk; Ewa M Roos; Dorte T Grønne; Martin T Ernst; Søren T Skou
Journal:  Clin Epidemiol       Date:  2021-08-30       Impact factor: 4.790

8.  The contribution of age and obesity to the number of painful joint sites in individuals reporting osteoarthritis: a population-based study.

Authors:  Elizabeth M Badley; Jessica M Wilfong; Calvin Yip; Dov B Millstone; Anthony V Perruccio
Journal:  Rheumatology (Oxford)       Date:  2020-11-01       Impact factor: 7.580

  8 in total

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