Literature DB >> 23174074

The use of a tablet computer to complete the DASH questionnaire.

Christopher J Dy1, Thomas Schmicker, Quynh Tran, Brian Chadwick, Aaron Daluiski.   

Abstract

PURPOSE: To determine whether electronic self-administration of the Disabilities of the Arm, Shoulder, and Hand (DASH) questionnaire using a tablet computer increased completion rate compared with paper self-administration.
METHODS: We gave the DASH in self-administered paper form to 222 new patients in a single hand surgeon's practice. After a washout period of 5 weeks, we gave the DASH in self-administered tablet computer form to 264 new patients. A maximum of 3 questions could be omitted before the questionnaire was considered unscorable. We reviewed the submitted surveys to determine the number of scorable questionnaires and the number of omitted questions in each survey. We completed univariate analysis and regression modeling to determine the influence of survey administration type on respondent error while controlling for patient age and sex.
RESULTS: Of the 486 total surveys, 60 (12%) were not scorable. A significantly higher proportion of the paper surveys (24%) were unscorable compared with electronic surveys (2%), with significantly more questions omitted in each paper survey (2.6 ± 4.4 questions) than in each electronic survey (0.1 ± 0.8 questions). Logistic regression analysis revealed survey administration mode to be significantly associated with DASH scorability while controlling for age and sex, with electronic survey administration being 14 times more likely than paper administration to yield a scorable DASH.
CONCLUSIONS: In our retrospective series, electronic self-administration of the DASH decreased the number of omitted questions and yielded a higher number of scorable questionnaires. Prospective, randomized evaluation is needed to better delineate the effect of survey administration on respondent error. CLINICAL RELEVANCE: Administration of the DASH with a tablet computer may be beneficial for both clinical and research endeavors to increase completion rate and to gain other benefits from electronic data capture.
Copyright © 2012 American Society for Surgery of the Hand. Published by Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 23174074     DOI: 10.1016/j.jhsa.2012.09.010

Source DB:  PubMed          Journal:  J Hand Surg Am        ISSN: 0363-5023            Impact factor:   2.230


  8 in total

1.  The use of an iPad to collect patient-reported functional outcome measures in hand surgery.

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2.  Performance characteristics of the verbal QuickDASH.

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Journal:  J Hand Surg Am       Date:  2013-11-21       Impact factor: 2.230

Review 3.  Electronic case report forms and electronic data capture within clinical trials and pharmacoepidemiology.

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4.  Feasibility of PROMIS CAT Administration in the Ambulatory Sports Medicine Clinic With Respect to Cost and Patient Compliance: A Single-Surgeon Experience.

Authors:  Vincent A Lizzio; Jacob Blanchett; Peter Borowsky; Jason E Meldau; Nikhil N Verma; Stephanie Muh; Vasilios Moutzouros; Eric C Makhni
Journal:  Orthop J Sports Med       Date:  2019-01-22

5.  Prospective Randomized Cohort Study to Explore the Acceptability of Patient-Reported Outcome Measures to Patients of Hand Clinics.

Authors:  Kyra L Sierakowski; Nicola R Dean; Riche Mohan; Mekha John; Philip A Griffin; Gregory I Bain
Journal:  J Hand Surg Glob Online       Date:  2020-09-11

6.  Practice Patterns in Operative Flexor Tendon Laceration Repair: A 15-Year Analysis of Continuous Certification Data from the American Board of Plastic Surgery.

Authors:  Joshua P Weissman; Daniel C Sasson; Ava G Chappell; Steven L Moran; Arun K Gosain
Journal:  Plast Reconstr Surg Glob Open       Date:  2022-10-07

7.  iCAMS: Assessing the Reliability of a Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS) Tablet Application.

Authors:  Meghan Beier; Kevin Alschuler; Dagmar Amtmann; Abbey Hughes; Renee Madathil; Dawn Ehde
Journal:  Int J MS Care       Date:  2020 Mar-Apr

8.  E-mail reminders improve completion rates of patient-reported outcome measures.

Authors:  Jacob J Triplet; Enesi Momoh; Jennifer Kurowicki; Leonardo D Villarroel; Tsun Yee Law; Jonathan C Levy
Journal:  JSES Open Access       Date:  2017-04-18
  8 in total

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