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Objectives: To develop population-based age- and gender-specific normative values for the pain, stiffness, and physical function subscales of the WOMAC Index for benchmarking applications., Methods: A scannable survey questionnaire capable of capturing WOMAC Index data and demographic information was developed, pretested, and distributed to a stratified random sample of 36,000 members of the Australian general public generated by the Australian Electoral Commission., Results: Age- and gender-specific WOMAC normative values were estimated based on approximately 7300 subjects. Age-related differences were noted in all 3 WOMAC subscales. In general, pain, stiffness, and difficulty with physical function percentiles increased with age., Conclusions: WOMAC normative values provide opportunity for benchmarking the health status of individuals with hip and knee osteoarthritis against their age- and gender-matched peers in the general population. These normative values provide unique opportunities for using the WOMAC Index in benchmarking applications in both clinical practice and research., (Copyright © 2011 Elsevier Inc. All rights reserved.)

Objectives: To develop population-based age- and gender-specific normative values for the pain, stiffness, and physical function subscales of the AUSCAN Index for benchmarking applications., Methods: A scannable survey questionnaire capable of capturing AUSCAN Index data and demographic information was developed, pretested, and distributed to a stratified random sample of 36,000 members of the Australian general public generated by the Australian Electoral Commission., Results: Age- and gender-specific AUSCAN normative values were estimated based on approximately 7300 subjects. Age-related differences were noted in all 3 AUSCAN subscales. In general, pain, stiffness, and difficulty with physical function percentiles increased with age., Conclusions: AUSCAN normative values provide opportunity for benchmarking the health status of individuals with hand osteoarthritis against their age- and gender-matched peers in the general population. These normative values provide unique opportunities for using the AUSCAN Index in benchmarking applications, in both clinical practice and research., (Copyright © 2011 Elsevier Inc. All rights reserved.)

Objectives: 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., Study Design and Setting: 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., Results: 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., Conclusions: 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., (Copyright © 2011 Elsevier Inc. All rights reserved.)

Aim: To develop age- and gender-specific normative values for the physical function subscales of the WOMAC and AUSCAN Indices., Methods: A scannable survey questionnaire capable of capturing WOMAC and AUSCAN Index and demographic information was developed, pre-tested, and distributed to a stratified random sample of 24,000 members of the Australian general public generated by the Australian Electoral Commission (AEC)., Results: Age- and gender-specific WOMAC and AUSCAN normative values were estimated based on approximately 5,500 subjects. Age-related differences were noted at the subscale level. In general, disability increased with age for all items and both Indices., Conclusions: Normative values provide opportunity for benchmarking the health status of individuals against their age- and gender-matched peers in the general population. These normative values provide unique opportunities, for using the WOMAC and AUSCAN Indices in benchmarking applications, in both clinical practice and research.

To develop age- and gender-specific normative values for the physical function subscales of the WOMAC® and AUSCAN Indices. A scannable survey questionnaire capable of capturing WOMAC® and AUSCAN Index and demographic information was developed, pre-tested, and distributed to a stratified random sample of 24,000 members of the Australian general public generated by the Australian Electoral Commission (AEC). Age- and gender-specific WOMAC® and AUSCAN normative values were estimated based on approximately 5,500 subjects. Age-related differences were noted at the subscale level. In general, disability increased with age for all items and both Indices. Normative values provide opportunity for benchmarking the health status of individuals against their age- and gender-matched peers in the general population. These normative values provide unique opportunities, for using the WOMAC® and AUSCAN Indices in benchmarking applications, in both clinical practice and research. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]