[Show abstract][Hide abstract] ABSTRACT: To evaluate the validity, reliability, responsiveness, and mode preference of electronic data capture (EDC) using the Western Ontario and McMaster (WOMAC) numerical rating scale (NRS) 3.1 Osteoarthritis (OA) Index on Motorola V3 mobile phones.
Patients with OA undergoing hip or knee joint replacement were assessed preoperatively and 3-4 months postoperatively, completing the WOMAC Index in paper (p-WOMAC) and electronic (m-WOMAC) format in random order.
Data were successfully and securely transmitted from patients in Australia to a server in the United States. Pearson correlations between the summated total index scores (TISs) for the p-WOMAC and m-WOMAC pre- and postsurgery were 0.98 and 0.99 (P<0.0001). There were no clinically important or statistically significant between-method differences in the adjusted total summated scores, pre- and postsurgery (adjusted mean differences=4.44, P=0.474 and 1.73, P=0.781, respectively). Internal consistency estimates of m-WOMAC reliability were 0.87-0.98. The m-WOMAC detected clinically important, statistically significant (P<0.0001) improvements in pain, stiffness, function, and TIS. No statistically significant differences in mode preference were detected.
There was close agreement and no significant differences between m-WOMAC and p-WOMAC scores. This study confirms the validity, reliability, and responsiveness of the Exco InTouch-engineered, Java-based m-WOMAC Index application. EDC with the m-WOMAC Index provides unique opportunities for using quantitative measurement in clinical research and practice.
[Show abstract][Hide abstract] ABSTRACT: A preliminary evaluation of mobile phone technology for repeated independent remote data capture using the mobile phone-based m-WOMAC NRS 3.1 Index.
Following orientation to the m-WOMAC Index, and initial completion in the office, patients took the phones home and independently completed the Index on four subsequent occasions over 12 days, sending their data each time to a server in USA.
Three men and nine women with hip (n = 2) and knee (n = 10) OA successfully completed the m-WOMAC Index on each occasion. Average time to completing the Index at termination was 4.8 min. The majority of patients rated logging on/opening the application, completing the m-WOMAC Index on the phone, and sending data as very easy (10-11/12), and were very confident (11/12) in continuing to use the phone to report their symptoms.
These data support the feasibility of repeated independent remote data capture using the m-WOMAC NRS3.1 Index.
[Show abstract][Hide abstract] ABSTRACT: 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.
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.
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.
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.