Item Reduction of the Boston Carpal Tunnel Questionnaire Using Decision Tree Modeling.
Objective: To produce an electronic decision tree version of the Boston Carpal Tunnel Questionnaire (DT-BCTQ) using the chi-squared automatic interaction detection (CHAID) algorithm to reduce questionnaire length of the Boston Carpal Tunnel Questionnaire (BCTQ) while minimizing the loss of measureme...
| Published in: | Archives of Physical Medicine & Rehabilitation Vol. 100; no. 12; pp. 2308 - 2314 |
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| Main Authors: | , , , , |
| Format: | research tables/charts Journal Article |
| Published: |
W B Saunders
Dec2019
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=140930020&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 140930020 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00039993 1XL jtl: Archives of Physical Medicine & Rehabilitation issn: 00039993 maglogo: N pubinfo: dt: Dec2019 vid: 100 iid: 12 pid: 1351 pub: W B Saunders place: Philadelphia, Pennsylvania artinfo: ui: 140930020 140930020 140930020 10.1016/j.apmr.2019.04.021 140930020 ppf: 2308 ppct: 6 formats: tig: atl: Item Reduction of the Boston Carpal Tunnel Questionnaire Using Decision Tree Modeling. aug: au: Jansen, Miguel C. van der Oest, Mark J. Slijper, Harm P. Porsius, Jarry T. Selles, Ruud W. affil: Department of Plastic, Reconstructive and Hand Surgery, Erasmus University Medical Center, Rotterdam sug: subj: Carpal Tunnel Syndrome Therapy Decision Trees Questionnaires Decision Support Systems, Clinical Chi Square Test Instrument Validation Human Descriptive Statistics Algorithms Hospitals, Private Intraclass Correlation Coefficient Severity of Illness Indices Functional Assessment Validation Studies Confidence Intervals Random Sample Female Adult Middle Age Aged Content Validity Criterion-Related Validity Adult: 19-44 years Middle Aged: 45-64 years Aged: 65+ years Female ab: Objective: To produce an electronic decision tree version of the Boston Carpal Tunnel Questionnaire (DT-BCTQ) using the chi-squared automatic interaction detection (CHAID) algorithm to reduce questionnaire length of the Boston Carpal Tunnel Questionnaire (BCTQ) while minimizing the loss of measurement properties. Design: Criterion standard study. All BCTQs completed between January 2012 and September 2016 by patients who were treated for carpal tunnel syndrome (CTS) were randomly divided into a development and a validation dataset at a 3-to-l ratio. Optimization of the CHAID algorithm was performed in the development dataset to determine the most optimal DT-BCTQ. Setting: Private hand clinic providing both surgical and nonsurgical (orthosis and exercise therapy) treatment for hand and wrist disorders. Participants: Patients with CTS (N = 4470) completed a total of 10,055 BCTQs. Interventions: Not applicable. Main Outcome Measures: The intraclass correlation coefficient (ICC) was calculated between the original BCTQ scores and the scores predicted by the DT-BCTQ in the validation dataset. Bland-Altman plots visualized the agreement between the BCTQ and the DT-BCTQ. Results: The DT-BCTQ reduced the number of questions needed to ask a patient from 11 to a maximum of 3 for the symptom severity scale domain and from 8 to maximum of 3 for the functional status scale domain. The ICC between the original BCTQ and DT-BCTQ was 0.94. The mean difference between the BCTQ and DT-BCTQ was 0.05 on the 0-5 scale (95% confidence interval [Cl], -0.48 to 0.57) for the symptom severity scale; 0.02 (95% Cl, -0.45 to 0.49) for the functional status scale; and 0.04 (95% Cl, -0.31 to 0.39) for the total BCTQ score. Conclusion: By creating the DT-BCTQ. we diminished the number of questions needed to ask a patient from 18 to a maximum of 6 questions (3 for each subscore) when administering the BCTQ while maintaining an ICC of 0.94 with the original BCTQ. Archives of Physical Medicine and Rehabilitation 2019;100:2308-13. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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