An examination of the reliability of a classification algorithm for subgrouping patients with low back pain.
Study Design: Test-retest design to examine interrater reliability.Objective: Examine the interrater reliability of individual examination items and a classification decision-making algorithm using physical therapists with varying levels of experience.Summary Of Background Data: Classifying patients...
| Publicado en: | Spine (03622436) Vol. 31; no. 1; pp. 77 - 83 |
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| Autores principales: | , , , , , , , , , |
| Formato: | algorithm clinical trial research tables/charts Journal Article |
| Publicado: |
Lippincott Williams & Wilkins
Jan2006
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=106400676&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 106400676 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 03622436 1Y6 jtl: Spine (03622436) issn: 03622436 maglogo: N pubinfo: dt: Jan2006 vid: 31 iid: 1 pid: 433 pub: Lippincott Williams & Wilkins place: Baltimore, Maryland artinfo: ui: 106400676 NLM16395181 2009109900 10.1097/01.brs.0000193898.14803.8a NLM16395181 106400676 ppf: 77 ppct: 6 formats: tig: atl: An examination of the reliability of a classification algorithm for subgrouping patients with low back pain. aug: au: Fritz JM Brennan GP Clifford SN Hunter SJ Thackeray A Fritz, Julie M Brennan, Gerard P Clifford, Shannon N Hunter, Stephen J Thackeray, Anne affil: Division of Physical Therapy, University of Utah, Intermountain Health Care, Salt Lake City, USA sug: subj: Low Back Pain Classification Algorithms Decision Making, Clinical Clinical Assessment Tools Instrument Validation Interrater Reliability Test-Retest Reliability Validation Studies Physical Therapy kappa Statistic Intraclass Correlation Coefficient Adult Male Female Descriptive Statistics Range of Motion Evaluation Extension Flexion Confidence Intervals Self Report Fear Evaluation Psychological Tests Physical Examination Biophysical Instruments Intervention Trials Low Back Pain Therapy Physical Therapists Funding Source Human Adult: 19-44 years Male Female ab: Study Design: Test-retest design to examine interrater reliability.Objective: Examine the interrater reliability of individual examination items and a classification decision-making algorithm using physical therapists with varying levels of experience.Summary Of Background Data: Classifying patients based on clusters of examination findings has shown promise for improving outcomes. Examining the reliability of examination items and the classification decision-making algorithm may improve the reproducibility of classification methods.Methods: Patients with low back pain less than 90 days in duration participating in a randomized trial were examined on separate days by different examiners. Interrater reliability of individual examination items important for classification was examined in clinically stable patients using kappa coefficients and intraclass correlation coefficients. The findings from the first examination were used to classify each patient using the decision-making algorithm by clinicians with varying amounts of experience. The reliability of the classification algorithm was examined with kappa coefficients.Results: A total of 123 patients participated (mean age 37.7 [+/-10.7] years, 44% female), 60 (49%) remained stable between examinations. Reliability of range of motion, centralization/peripheralization judgments with flexion and extension, and the instability test were moderate to excellent. Reliability of centralization/peripheralization judgments with repeated or sustained extension or aberrant movement judgments were fair to poor. Overall agreement on classification decisions was 76% (kappa = 0.60, 95% confidence interval 0.56, 0.64), with no significant differences based on level of experience.Conclusion: Reliability of the classification algorithm was good. Further research is needed to identify sources of disagreements and improve reproducibility. pubtype: Academic Journal doctype: algorithm clinical trial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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