Literature DB >> 19139830

Electronic data capture (EDC) using cellular technology: implications for clinical trials and practice, and preliminary experience with the m-Womac Index in hip and knee OA patients.

N Bellamy1, C Wilson, J Hendrikz, B Patel, S Dennison.   

Abstract

AIM: The capture, analysis and utilisation of health status information are attended by logistic considerations and interpretation challenges. We report a preliminary evaluation of cellular technology in capturing WOMAC NRS 3.1 Index data.
METHODS: A Java midlet for delivering the WOMAC NRS3.1 Index on Nokia-6300, Motorola-V3 and Samsung-A711 mobile phones was developed by Exco InTouch. Following task orientation, patients completed the paper-based WOMAC (p-WOMAC questionnaire, and then the three mobile phonebased WOMAC (m-WOMAC applications, in random order.
RESULTS: All 12 patients (age range = 55-82 years) successfully completed the m-WOMAC Index on each of the three phones, and all were found acceptable by patients. With respect to m-WOMAC mean overall rank score, no significant difference was found between the 3 phones (Friedman's chi square (2 df) = 2.2, p = 0.34) however, Motorola V3 was favoured with the best mean rank. Pearson correlation between the average p-WOMAC and average m-WOMAC score was 0.996.
CONCLUSIONS: Patient reported ratings indicated the m-WOMAC application performed well on all three phones. EDC provides unique opportunities for using quantitative measurement in both clinical practice and research.

Entities:  

Mesh:

Year:  2009        PMID: 19139830     DOI: 10.1007/s10787-008-8045-4

Source DB:  PubMed          Journal:  Inflammopharmacology        ISSN: 0925-4692            Impact factor:   4.473


  3 in total

1.  Electronic data capture using the Womac NRS 3.1 Index (m-Womac): a pilot study of repeated independent remote data capture in OA.

Authors:  Nicholas Bellamy; B Patel; T Davis; S Dennison
Journal:  Inflammopharmacology       Date:  2010-04-27       Impact factor: 4.473

Review 2.  Older adults and mobile phones for health: a review.

Authors:  Jonathan Joe; George Demiris
Journal:  J Biomed Inform       Date:  2013-06-25       Impact factor: 6.317

3.  Development of a computer-adaptive version of the forgotten joint score.

Authors:  Johannes M Giesinger; Markus S Kuster; Bernhard Holzner; Karlmeinrad Giesinger
Journal:  J Arthroplasty       Date:  2012-12-05       Impact factor: 4.757

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.