- Research article
- Open Access
- Open Peer Review
Does parallel item content on WOMAC's Pain and Function Subscales limit its ability to detect change in functional status?
© Stratford and Kennedy; licensee BioMed Central Ltd. 2004
- Received: 30 December 2003
- Accepted: 09 June 2004
- Published: 09 June 2004
Although the Western Ontario and McMaster University Osteoarthritis Index (WOMAC) is considered the leading outcome measure for patients with osteoarthritis of the lower extremity, recent work has challenged its factorial validity and the physical function subscale's ability to detect valid change when pain and function display different profiles of change. This study examined the etiology of the WOMAC's physical function subscale's limited ability to detect change in the presence of discordant changes for pain and function. We hypothesized that the duplication of some items on the WOMAC's pain and function subscales contributed to this shortcoming.
Two eight-item physical function scales were abstracted from the WOMAC's 17-item physical function subscale: one contained activities and themes that were duplicated on the pain subscale (SIMILAR-8); the other version avoided overlapping activities (DISSIMILAR-8). Factorial validity of the shortened measures was assessed on 310 patients awaiting hip or knee arthroplasty. The shortened measures' abilities to detect change were examined on a sample of 104 patients following primary hip or knee arthroplasty. The WOMAC and three performance measures that included activity specific pain assessments – 40 m walk test, stair test, and timed-up-and-go test – were administered preoperatively, within 16 days of hip or knee arthroplasty, and at an interval of greater than 20 days following the first post-surgical assessment. Standardized response means were used to quantify change.
The SIMILAR-8 did not demonstrate factorial validity; however, the factorial structure of the DISSIMILAR-8 was supported. The time to complete the performance measures more than doubled between the preoperative and first postoperative assessments supporting the theory that lower extremity functional status diminished over this interval. The DISSIMILAR-8 detected this deterioration in functional status; however, no significant change was noted for the SIMILAR-8. The WOMAC pain scale demonstrated a slight reduction in pain and the performance specific pain measures did not reflect a change in pain. All measures showed substantial improvement over the second assessment interval.
These findings support the hypothesis that activity overlap on the pain and function subscales plays a causal role in limiting the WOMAC physical function subscale's ability to detect change.
- Physical Function
- Total Joint Arthroplasty
- Factorial Validity
- Standardize Response Mean
- Postoperative Assessment
At the Outcome Measures in Arthritis Clinical Trials (OMERACT III) conference, pain and physical function were identified as the top two core outcomes for patients with osteoarthritis (OA) of the hip or knee . The WOMAC pain and physical function subscales have been recommended as the leading self-report measures to assess these attributes [2, 3]. Conceived for patients with osteoarthritis of the hip or knee, the WOMAC is a self-report disease specific measure developed by Bellamy using a clinimetric approach . Specifically, WOMAC items were generated using a structured interview that included open- and closed-ended questions applied to 100 patients with primary osteoarthritis of the hip or knee. Patients were asked to rate the importance of items generated from the open- and closed-ended questions and the final WOMAC items were those with the highest frequency and importance produce ratings . Although the first version of the WOMAC had five dimensions , the social and emotional subscales were subsequently deleted yielding the current measure with three subscales: pain (5 items), stiffness (2 items), and physical function (17 items) . There are two administration formats for WOMAC items: one applies a 5-point Likert approach and the other uses a 100 mm visual analogue scale . Scores can be interpreted for each subscale or the total score. The WOMAC has been used extensively in clinical intervention studies including drug trials [7, 8], exercise [9–11] and modality studies [12, 13], and joint replacement surgery investigations [14–17].
The measurement properties of the WOMAC have been investigated in many studies and McConnell et al have provided an excellent review article . This summary indicates that the WOMAC pain and physical function subscales have levels of internal consistency and test-retest reliability consistent with clinical practice and research applications. Moreover, McConnell et al reported many studies supporting the WOMAC's construct validity and sensitivity to change . Information concerning the WOMAC's factorial validity does not appear in the review because no citations existed prior to their article. Factorial or structural validity examines the extent to which domains hypothesized to make up a measure – pain, stiffness, and physical function in the case of the WOMAC – actually underlie patients' responses. Subsequent to McConnell et al's review article, consistent evidence refuting the factorial validity of the WOMAC's pain and physical function subscales has appeared [18–20]. These investigations suggest that WOMAC items do not group by pain and function as originally conceived, but rather by activities with overlap of the pain and function items .
An important consequence of the poor factorial validity is that the WOMAC may not be capable of distinguishing between changes in pain and functional status when these attributes have discordant changes. A previous study demonstrated that the WOMAC's physical function subscale was unable to detect deterioration in patients' functional status levels when assessed within 16 days of hip or knee arthroplasty . Of particular interest was the finding that the time components for two performance measures – a 40 m walk test and timed-up-and-go test – more than doubled, while the WOMAC pain subscale score and numeric pain rating scores specific to the performance measures remained the same or decreased slightly. Based on these findings it was hypothesized that the WOMAC's physical function score may be spuriously influenced by responses to the WOMAC's pain questions .
The purpose of this study was to investigate the causal mechanism of the WOMAC's physical function subscale's (WOMAC PF) poor ability to detect change in the presence of discordant changes in pain and function. Our hypothesis was that the duplication of some items on the WOMAC's pain and function subscales contributes to this shortcoming.
We used the LK3.1 version of the WOMAC. For this version of the WOMAC, items are scored on a 5-point scale (0 to 4) with higher scores representing greater levels of pain, stiffness, and difficulty with physical function. Pain subscale scores can vary from 0 to 20; stiffness subscale scores can vary from 0 to 8; and physical function subscale scores can vary from 0 to 68.
Using items from the WOMAC-PF, we intentionally constructed two 8-item versions of this subscale to test our hypothesis. One version did not contain activities that were identified on the WOMAC pain subscale and the other included activities similar to those presented on the pain subscale. For example, the WOMAC pain subscale inquires about pain: (1) walking on flat surfaces; (2) going up or down stairs; (3) at night while in bed; (4) sitting or lying; and (5) standing. The shortened version containing activities with themes that overlapped the pain questions consisted of the following physical function items: (1) descending stairs; (2) ascending stairs; (3) rising from sitting; (4) standing; (5) walking on a flat surface; (6) rising from bed; (7) lying in bed; and (8) sitting. Notice that the concepts include the direct items of walking, stairs, standing, sitting and lying, and the similar items rising from sitting and rising from bed. The last two contain a standing and sitting or lying component. In contrast, the version not containing activities mentioned on the pain subscale included the following items: (1) bending to the floor, (2) getting in or out of a car; (3) going shopping; (4) putting on your socks or stockings; (5) getting in or out of the bath; (6) getting on or off the toilet; (7) performing heavy domestic duties; and (8) performing light domestic duties. Throughout the remainder of this paper we refer to the version with items similar to the pain scale as SIMILAR-8 and the version with dissimilar items as DISSIMILAR-8.
Two patient samples in which data on the WOMAC were collected in its original format contributed to this work. The first sample of 310 patients awaiting hip or knee arthroplasty was used to examine the factorial structure of the shortened measures; the second sample of 104 patients receiving hip or knee arthroplasty was applied to test the hypothesis that overlapping pain and function activities account for the poor ability of the WOMAC-PF to detect change in the presence of discordant changes in pain and function. Both samples consisted of patients diagnosed as having osteoarthritis (OA) of the hip or knee. The participants were individuals who had end-stage osteoarthritis determined by their surgeon according to patient symptoms, clinical findings and radiographs [21, 22]. Patients in the change sample underwent primary total hip (THA) or total knee (TKA) arthroplasty. Exclusion criteria included bilateral or revision arthroplasty surgery, additional operative procedures, and comorbidities associated with cognitive impairment. The assessments and surgeries took place at a tertiary care hospital in Toronto Canada. Ethics approval was obtained from the institution's review board and all patients taking part in this investigation provided written informed consent.
In the change cohort, in addition to the WOMAC data, three performance tests – a self-paced walk (SPWT) , a stair test (ST), and the timed-up-and-go (TUG)  – were also administered. Each performance measure included time and pain components. Time was assessed to the nearest 1/100 of a second using a stopwatch. Patients recorded their pain immediately following each activity on an 11-point numeric pain rating scale (0 = no pain to 10 = pain as bad as it can be). For the SPWT, patients walked two lengths of a 20 m corridor in response to the instruction "Walk as quickly as you can without over exerting yourself." For the stair test, patients ascended and descended 9-stairs (step height 20 cm) in their usual manner, at a safe and comfortable pace. The TUG test commenced with patients sitting in a standard arm-chair, standing, walking to a tape 3 m in front of the chair, and returning to a seated position in the chair.
No gold standard exists for functional status. Accordingly, a construct validation process plays an important role when examining the extent to which a measure is valid. Construct validation involves forming theories about the attribute of interest – in this study lower extremity functional status – and testing the extent to which the measure of interest provides results consistent with the theories . To assess the measures' abilities to detect change we used data from two time intervals: the first where pain and physical function change differently, and the second where pain and physical function display a similar change. Previous work has shown that pain does not change appreciably when assessed within 16 days of hip or knee arthroplasty; however, there is a marked deterioration in physical function over this interval [20, 23]. Moreover, a substantial reduction in pain and improvement in functional status has been noted when the interval between a postoperative assessment within 16 days of surgery and a second postoperative assessment exceeds 20 days . Accordingly, we used data from patients assessed preoperatively, within 16 days of surgery (first postoperative assessment), and at a minimum of 20 days following the first postoperative assessment (second postoperative assessment).
There were three aspects to the analyses: (1) assessment of the factorial validity of the pain and physical function subscales (patients awaiting surgery, n = 310); (2) examination of the shortened measures' abilities to detect change (patients receiving total joint arthroplasty, n = 104); and (3) determination of the correlation between the WOMAC pain and function scores and the shortened measures' scores (n = 104). Exploratory factorial analysis of the pain and physical function subscales with oblique rotation was applied to examine the factorial validity of the shortened measures. The application of oblique rotation acknowledges a correlation between pain and function. Factors were identified for eigenvalues greater than one.
We applied the standardized response mean (SRM) to quantify change . The SRM is calculated as the average change divided by the standard deviation of the change scores. In this study a negative SRM indicated deterioration (e.g., increases in pain scores, WOMAC physical function scores, and time to complete performance tests) and positive SRM represented improvement. We used a bootstrap procedure to obtain 95% confidence intervals for the SRMs and to test for differences between SRMs for the shortened versions of the WOMAC physical function subscale . The bootstrap procedure consisted of sampling with replacement 1000 samples each of 104 observations. The 1000 bootstrap samples were sorted and the 95% confidence intervals were obtained by reading the 25th and 975th observations. The between measure comparison was obtained by first taking the difference in SRMs for 1000 paired bootstrap samples for the two versions of the shortened physical function subscales, sorting the differences from lowest to highest, and examining whether the value zero (i.e., no difference between measures) was included between the 25th and 975th observations.
Correlation analysis was used to describe the relationship between the WOMAC pain and function subscales, and the two shortened WOMAC-PF versions. Meng's test for dependent correlation coefficients was applied to test for differences in correlations between the shortened measures .
One hundred sixty-one (52%) of the 310 patient sample were females. One hundred thirty-seven patients (44%) were awaiting THA of which 62 were female. The mean age and body mass index for the 310 patients were 64.5 years (sd 10.9) and 31.0 kg/m2 (sd 5.9) respectively. Of the 104 patients taking part in the change investigation, 48 (46%) were females. Fifty patients (48%) had THA, 22 of which were females. The sample's mean age and body mass index were 62.4 years (sd 10.2) and 29.9 kg/m2 (sd 4.9) respectively. The median interval between surgery and the first postoperative assessment was 8 days (1st, 3rd quartiles: 7, 10), and 38 days (1st and 3rd quartiles: 32, 47) between the first and second postoperative assessments.
Pattern Loading Coefficients from Factor Analyses with Oblique Rotation (n = 310)
Pain walking on flat surface
Pain going up or down stairs
Pain at night while in bed
Pain sitting or lying
WOMAC Physical Function
Rising from sitting
Bending to floor
Walking on flat
Getting in/out of car
Putting socks/stockings on
Rising from bed
Taking off socks/stockings
Lying in bed
Getting in/out of bath
Getting on/off toilet
Heavy domestic duties
Light domestic duties
Descriptive Statistics (sd) and Standardized Response Means (SRM, 95% CI) for Self-report and Performance Measures
Preoperative Assessment (Preop)
1st Postoperative Assessment (1st Postop)
2nd Postoperative Assessment (2nd Postop)
SRM* Preop-1st Postop
SRM** 1st Postop-2nd Postop
0.20 (0.01, 0.39)
1.18 (0.98, 1.42)
0.02 (-0.16, 0.21)
1.10 (0.91, 1.30)
-0.05 (-0.24, 0.15)
1.16 (0.98, 1.35)
0.12 (-0.07, 0.35)
1.06 (0.88, 1.30)
SPW Time (seconds)
-0.86 (-1.36, -0.72)
0.81 (0.68, 1.34)
TUG Time (seconds)
-1.24 (-1.56, -1.05)
1.26 (1.05, 1.66)
Stair Time (seconds)
-1.80 (-2.21, -1.51)
1.94 (1.69, 2.32)
0.16 (-0.03, 0.37)
1.27 (1.07, 1.52)
-0.40 (-0.61, -0.22)
1.55 (1.30, 1.84)
-0.12 (-0.31, 0.06)
1.50 (1.28, 1.78)
Mean Item Changes (sd) and Standardized Response Means (SRM, 95% CI)
Change Preop-1st Postop
Change 1st Postop- 2nd Postop
SRM Preop- 1st Postop
SRM 1st Postop- 2nd Postop
WOMAC Pain Items
Walking on flat
0.29 (0.09, 0.50)
1.02 (0.83, 1.28)
0.36 (0.17, 0.55)
0.98 (0.80, 1.16)
Night in bed
0.08 (-0.11, 0.29)
0.62 (0.40, 0.84)
Sitting or lying
-0.09 (-0.30, 0.10)
0.97 (0.77, 1.22)
0.15 (-0.04, 0.34)
0.94 (0.74, 1.17)
WOMAC SIMILAR-8 Items
0.12 (-0.08, 0.34)
0.76 (0.57, 0.98)
0.27 (0.06, 0.51)
0.74 (0.55, 0.94)
Rising from sitting
0.25 (0.06, 0.45)
0.78 (0.57, 0.94)
0.26 (0.06, 0.45)
0.91 (0.72, 1.13)
Walking on flat
0.24 (0.06, 0.45)
1.05 (0.86, 1.28)
Rising from bed
-0.16 (-0.35, 0.03)
1.28 (1.01, 1.63)
Lying in bed
0.10 (-0.10, 0.29)
0.76 (0.55, 0.98)
-0.14, (-0.35, 0.05)
1.02 (0.81, 1.30)
WOMAC DISSIMILAR-8 Item
Bending to floor
-0.49 (-0.68, -0.30)
0.99 (0.82, 1.20)
0.05 (-0.14, 0.25)
1.17 (0.94, 1.41)
-0.31 (-0.52, -0.11)
1.10 (0.86, 1.40)
-0.16 (-0.35, 0.02)
0.78 (0.57, 1.03)
Getting in/out bath
-0.16 (-0.48, -0.11)
1.28 (1.00, 1.41)
Getting on/off toilet
-0.07 (-0.27, 0.12)
1.04 (0.87, 1.23)
-0.59 (-0.81, -0.41)
0.97 (0.76, 1.20)
-0.43 (-0.63, -0.27)
1.19 (0.94, 1.49)
Not included on either scale
-0.06 (-0.27, 0.14)
0.84 (0.64, 1.07)
Correlation Coefficients (95% CI) Between Shortened Measures and WOMAC Pain and Physical Function Scores
Difference Comparison (Z, p-value)
0.83 (0.76, 0.88)
0.69 (0.57, 0.78)
4.04, p2 < 0.001
0.78 (0.69, 0.85)
0.66 (0.54, 0.76)
2.82, p2 = 0.005
0.89 (0.84, 0.92)
0.66 (0.54, 0.75)
6.21, p2 < 0.001
WOMAC Physical Function
0.94 (0.91, 0.96)
0.97 (0.95, 0.98)
2.43, p2 = 0.015
0.94 (0.91, 0.96)
0.95 (0.93, 0.97)
1.63, p2 = 0.104
0.91 (0.87, 0.94)
0.95 (0.93, 0.97)
3.58, p2 < 0.001
The purported principal themes of the WOMAC are pain, stiffness, and physical function. However, previous studies have shown that WOMAC items do not group according to these subscale headings [18, 19]: the items group by activity . A consequence is that a subscale's score may not provide an accurate representation of the attribute specified by the subscale's trait label. We hypothesized that the duplication of activities on the pain and physical function subscales contributes to the WOMAC's compromised factorial validity. Accordingly, the purpose of this study was to examine the viability of parallel activity content on the pain and physical function subscales as an explanation for the physical function subscale's poor ability to accurately detect change in the presence of discordant changes for pain and function. Our results indicate the following: (1) factorial validity exists for the DISSIMILAR-8, but not for the SIMILAR-8 or WOMAC PF; (2) the DISSIMILAR-8 detected deterioration in functional status over the first assessment interval better than the SIMILAR-8 and WOMAC-PF; (3) all measures detected improvement over the second assessment interval; and (4) WOMAC pain subscale scores demonstrated substantially higher correlations with the SIMILAR-8 compared to the DISSIMILAR-8.
Although one would expect pain and physical function to be related, expert groups have considered these attributes to be different enough as to warrant independent assessment [1–3]. The WOMAC makes this distinction in that its subscales include pain and function. Moreover, and unlike many other self-report measures that inquire about difficulty, the WOMAC offers the following statement to direct patients in their responses: "By this [difficulty with physical function] we mean your ability to move around and to look after yourself." To the extent that the time to "move around" as assessed by the performance tasks provided a representation of a patient's physical function, significant deterioration occurred over the first assessment interval: the time for all performance tasks more than doubled. In contrast, the pain associated with the performance tasks did not change significantly over the first assessment interval. Coupled with the results from the WOMAC pain responses, these findings suggest that pain does not get worse over the first assessment interval. The SIMILAR-8 responses for ascending stairs, walking, rising from sitting, and standing, showed significant improvements over the first assessment interval. These self-report activities on the WOMAC are directly comparable to the performance activities of walking, stairs, and TUG. Three items on the DISSIMILAR-8 did not detect deterioration over the first assessment interval.
These items involved sitting (socks on/off) or rising from sitting (on/off toilet). In retrospect, one could argue that these items parallel the sitting item on the WOMAC pain scale and perhaps one should not be surprised at the results.
Our findings support the hypothesis that duplicating activities on the pain and physical function subscales plays an etiologic role in compromising the WOMAC-PF subscale's ability to detect valid change in the presence of discordant change in pain and function. First, the DISSIMILAR-8 displayed factorial validity, whereas, the SIMILAR-8 lacked factorial validity. Second, the DISSIMILAR-8 detected deterioration in physical function over the interval when discordant change in pain and function occurred; however, the SIMILAR-8 did not detect this change. Not only did the SIMILAR-8 fail to detect deterioration in functional status, but also the point estimate of change was in the direction of improvement rather than deterioration. This apparent improvement in functional status is consistent with the WOMAC pain subscale's assessment of a reduction in pain. Finally, the WOMAC pain subscale demonstrated substantially higher correlations with the SIMILAR-8 compared to the DISSIMILAR-8.
Numerous studies have supported the validity [29–33] and sensitivity to change [29, 34–38] of the WOMAC and it is the recommended outcome assessment tool for assessing pain and physical function in studies investigating patients with osteoarthritis of the lower extremity [1–3]. With the exception of several recent investigations [18–20, 39], the WOMAC has performed admirably. However, there are two differences between studies that support the WOMAC and those investigations that question its ability to detect valid change. One difference is that the studies supporting the WOMAC did not investigate the measure's factorial validity. Clearly, there is consistent evidence that factorial validity does not exist [18–20, 39]. A natural question asks, "Is the lack of factorial validity important?" A review of the WOMAC's ability to detect change is informative when answering this question. The many studies supporting the WOMAC's ability to detect change share a common feature: pain and function were expected to improve over the assessment interval. Moreover, the interval between assessments for many of these studies often exceeded several months, and even if the rate of change differed for pain and function, it is unlikely that this difference could be detected [9, 29, 35, 36, 38]. The current study applied a construct validation design that took advantage of "extreme" differences in change for pain and physical function. Consistent with the results of a previous investigation , the WOMAC-PF subscale did not detect the decline in functional status that occurred over the first assessment interval.
Because standard practice for some clinicians will not involve the rigorous assessment of physical function within 16 days of total joint arthroplasty, it is natural to question the generalizability of our findings. At issue, is not whether one would assess patients under these circumstances, but whether WOMAC-PF responses are spuriously influenced by WOMAC pain responses. To investigate the relationship between responses to pain and physical function items, we took advantage of a situation where the attributes under investigation were known to differ in their change profiles. Our findings suggest that WOMAC-PF scores are strongly associated with WOMAC pain scores. In this study the association was strong enough to suppress the SIMILAR-8 and WOMAC-PF abilities to detect deterioration in physical function when the performance measures demonstrated a substantial difference in the profiles of change for pain and physical function. We suspect that if the association between reported WOMAC pain and physical function is sufficiently strong as to mask the deterioration in physical function that occurred over the first assessment interval in this study, that the association would influence WOMAC-PF scores when the true difference between change profiles in pain and physical function is less obvious. If this conjecture holds true, it could call into question the results of head-to-head comparison studies where the WOMAC-PF has been shown to be more sensitive to change than competing measures' assessments of physical function [38, 40].
Since commencing our study, shorter versions of the WOMAC have been reported [41, 42]. However, like the full-length WOMAC, these measures contain a subset of activities common to the pain and function subscales. These measures also lack factorial validity and the ability to detect change in functional status when pain and function display discordant change (see appendix: see Additional file: 1).
There are several limitations associated with our work. First, this study was conducted on patients receiving total joint arthroplasty and it is not clear the extent to which our findings are generalizable to the assessment of patients with osteoarthritis not undergoing surgery. Second, to be included in this study, patients must have been capable of completing the performance tests at the preoperative assessment. It is reasonable to assume that the functional status levels of these patients would be greater than that of patients who could not completed these tests. Accordingly, the extent to which our findings are generalizable to patients with more severe restrictions in functional status is unknown. A third limitation of this study is that it does not provide information concerning the WOMAC-PF's ability to detect valid change if it were administered in alone rather than as part of the full WOMAC. Finally, we conceived the shorter versions of the WOMAC-PF to test the hypothesis that the duplication of some items on the WOMAC's pain and physical function subscales contributes to the physical function scale's poor ability to detect change when pain and function display discordant change. Although the DISSIMILAR-8 was more adept at detecting change compared to the WOMAC-PF – and the other shorter versions cited previously – we do not endorse the DISSIMILAR-8 as a viable alternative to the WOMAC-PF. There are many considerations and trade-offs to be weighed when selecting items for a measure. For example, in addition to being psychometrically sound, a measure must possess content validity. Clearly, a lower extremity functional status measure that does not overtly inquire about ambulation lacks content validity. For this reason, we caution against using the DISSIMILAR-8 as an outcome measure for clinical trials and as the basis for decisions in clinical practice.
The stimulus for our study was previous work suggesting WOMAC-PF item responses are spuriously influenced by WOMAC pain item responses. The results of the current support this hypothesis. We believe the results are important at two levels. Specific to the WOMAC, our findings suggest that either the pain or physical function subscale be restructured to avoid the same activity being included on both scales. A potential solution to be explored in subsequent inquiry would be to assess pain in a more general context, rather than focusing on specific activities. In a more general context, our results serve as a cautionary note to measure developers who are contemplating including similar activities on multiple subscales.
The intent of this study was to provide an insight into the causal mechanism of the WOMAC-PF subscale's limited ability to detect change in the presence of discordant change in pain and function. This was accomplished by constructing two shorter versions of the WOMAC-PF subscale. One shorter version included activities that appear on both the pain and function subscales; the other shorter version avoided activities common to the pain and function subscales. Like the full-length physical function subscale, the SIMILAR-8 was unable to detect a change in physical function in the presence of discordant changes in pain and function; however, the DISSIMILAR-8 did detect change in the presence of discordance changes in pain and function. This finding supports the hypothesis that the overlap of questions on the WOMAC pain and physical function subscales interferes with the measure's ability to detect change.
This research was supported by a grant from the Orthopaedic and Arthritic Foundation. At the time of this study, Deborah Kennedy was supported by a Studentship Award from the Provincial Rehabilitation Research Program, funded by the Ministry of Health and Long Term Care and the Toronto Rehabilitation Institute Foundation.
- Bellamy N, Kirwan J, Boers M, Brooks P, Strand V, Tugwell P, Altman R, Brandt K, Dougados M, Lequesne M: Recommendations for a core set of outcome measures for future phase III clinical trials in knee, hip, and hand osteoarthritis. Consensus development at OMERACT III. J Rheumatol. 1997, 24: 799-802.PubMedGoogle Scholar
- Bellamy N: Osteoarthritis clinical trials: candidate variables and clinimetric properties. J Rheumatol. 1997, 24: 768-778.PubMedGoogle Scholar
- Dougados M, LeClaire P, van der Heijde D, Bloch DA, Bellamy N, Altman RD: A report of the Osteoarthritis Research Society International Standing Committee for Clinical Trials Response Criteria Initiative. Osteoarthritis Cartilage. 2000, 8: 395-403. 10.1053/joca.2000.0361.View ArticlePubMedGoogle Scholar
- Bellamy N, Buchanan WW, Goldsmith CH, Campbell J, Stitt LW: Validation study of WOMAC: a health status instrument for measuring clinically important patient relevant outcomes to antirheumatic drug therapy in patients with osteoarthritis of the hip or knee. J Rheumatol. 1988, 15: 1833-1840.PubMedGoogle Scholar
- Bellamy N: An evaluative index for clinical trials. Design, Measurement, and Evaluation. 1982, Hamilton, McMaster UniversityGoogle Scholar
- McConnell S, Kolopack P, Davis AM: The Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC): a review of its utility and measurement properties. Arthritis Rheum. 2001, 45: 453-461. 10.1002/1529-0131(200110)45:5<453::AID-ART365>3.0.CO;2-W.View ArticlePubMedGoogle Scholar
- Houpt JB, McMillan R, Wein C, Paget-Dellio SD: Effect of glucosamine hydrochloride in the treatment of pain of osteoarthritis of the knee. J Rheumatol. 1999, 26: 2423-2430.PubMedGoogle Scholar
- Grace D, Rogers J, Skeith K, Anderson K: Topical diclofenac versus placebo: a double blind, randomized clinical trial in patients with osteoarthritis of the knee. J Rheumatol. 1999, 26: 2659-2663.PubMedGoogle Scholar
- O'Reilly SC, Muir KR, Doherty M: Effectiveness of home exercise on pain and disability from osteoarthritis of the knee: a randomised controlled trial. Ann Rheum Dis. 1999, 58: 15-19.View ArticlePubMedPubMed CentralGoogle Scholar
- Thomas KS, Muir KR, Doherty M, Jones AC, O'Reilly SC, Bassey EJ: Home based exercise programme for knee pain and knee osteoarthritis: randomised controlled trial. BMJ. 2002, 325: 752-10.1136/bmj.325.7367.752.View ArticlePubMedPubMed CentralGoogle Scholar
- Deyle GD, Henderson NE, Matekel RL, Ryder MG, Garber MB, Allison SC: Effectiveness of manual physical therapy and exercise in osteoarthritis of the knee. A randomized, controlled trial. Ann Intern Med. 2000, 132: 173-181.View ArticlePubMedGoogle Scholar
- Berman BM, Singh BB, Lao L, Langenberg P, Li H, Hadhazy V, Bareta J, Hochberg M: A randomized trial of acupuncture as an adjunctive therapy in osteoarthritis of the knee. Rheumatology (Oxford). 1999, 38: 346-354. 10.1093/rheumatology/38.4.346.View ArticleGoogle Scholar
- Takeda W, Wessel J: Acupuncture for the treatment of pain of osteoarthritic knees. Arthritis Care Res. 1994, 7: 118-122.View ArticlePubMedGoogle Scholar
- Bachmeier CJ, March LM, Cross MJ, Lapsley HM, Tribe KL, Courtenay BG, Brooks PM: A comparison of outcomes in osteoarthritis patients undergoing total hip and knee replacement surgery. Osteoarthritis Cartilage. 2001, 9: 137-146. 10.1053/joca.2000.0369.View ArticlePubMedGoogle Scholar
- Braeken AM, Lochhaas-Gerlach JA, Gollish JD, Myles JD, Mackenzie TA: Determinants of 6-12 month postoperative functional status and pain after elective total hip replacement. Int J Qual Health Care. 1997, 9: 413-418. 10.1016/S1353-4505(97)00041-0.PubMedGoogle Scholar
- Jain R, Schemitsch EH, Waddell JP: Cementless acetabular revision arthroplasty. Can J Surg. 2000, 43: 269-275.PubMedPubMed CentralGoogle Scholar
- Laupacis A, Bourne R, Rorabeck C, Feeny D, Tugwell P, Wong C: Comparison of total hip arthroplasty performed with and without cement : a randomized trial. J Bone Joint Surg Am. 2002, 84-A: 1823-1828.PubMedGoogle Scholar
- Thumboo J, Chew LH, Soh CH: Validation of the Western Ontario and Mcmaster University osteoarthritis index in Asians with osteoarthritis in Singapore. Osteoarthritis Cartilage. 2001, 9: 440-446. 10.1053/joca.2000.0410.View ArticlePubMedGoogle Scholar
- Faucher M, Poiraudeau S, Lefevre-Colau MM, Rannou F, Fermanian J, Revel M: Algo-functional assessment of knee osteoarthritis: comparison of the test-retest reliability and construct validity of the WOMAC and Lequesne indexes. Osteoarthritis Cartilage. 2002, 10: 602-610. 10.1053/joca.2002.0533.View ArticlePubMedGoogle Scholar
- Kennedy D, Stratford PW, Pagura SMC, Wessel J, Gollish JD, Woodhouse LJ: Exploring the factorial validity and clinical interpretability of the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). Physiother Can. 2003, 55: 160-168.View ArticleGoogle Scholar
- Altman R, Asch E, Bloch D, Bole G, Borenstein D, Brandt K, Christy W, Cook TD, Greenwald R, Hochberg M: Development of criteria for the classification and reporting of osteoarthritis: classification of osteoarthritis of the knee. Arthritis Rheum. 1986, 29: 1039-1049.View ArticlePubMedGoogle Scholar
- Altman R, Alarcon G, Appelrouth D, Bloch D, Borenstein D, Brandt K, Brown C, Cook TD, Feldman D: The American College of Rheumatology criteria for the classification and reporting of osteoarthritis of the hip. Arthritis Rheum. 1991, 34: 505-514.View ArticlePubMedGoogle Scholar
- Walsh M, Kennedy D, Stratford PW, Woodhouse LJ: Perioperative functional performance of women and men following total knee arthroplasty. Physiother Can. 2001, 53: 92-100,114.Google Scholar
- Podsiadlo D, Richardson S: The timed "Up & Go": A test of basic funtional mobility for frail elderly persons. J Am Geriatr Soc. 1991, 39: 142-148.View ArticlePubMedGoogle Scholar
- Streiner DL, Norman GR: Health Measurement Scales: A Practical Guide to Their Development and Use. 2000, New York, Oxford University Press, 2ndGoogle Scholar
- Liang MH, Fossel AH, Larson MG: Comparisons of five health status instruments for orthopaedic evaluation. Med Care. 1990, 28: 632-642.View ArticlePubMedGoogle Scholar
- Efron B, Gong G: A leisurely look at the bootstrap, the jackknife, and cross-validation. Am Statistician. 1983, 37: 36-48.Google Scholar
- Meng X, Rosenthal R, Rubin DB: Comparing correlated correlation coefficients. Psychol Bull. 1992, 111: 172-175. 10.1037//0033-2909.111.1.172.View ArticleGoogle Scholar
- Wright JG, Young NL: A comparison of different indices of responsiveness. J Clin Epidemiol. 1997, 50: 239-246. 10.1016/S0895-4356(96)00373-3.View ArticlePubMedGoogle Scholar
- Brazier JE, Harper R, Munro J, Walters SJ, Snaith ML: Generic and condition-specific outcome measures for people with osteoarthritis of the knee. Rheumatology (Oxford). 1999, 38: 870-877. 10.1093/rheumatology/38.9.870.View ArticleGoogle Scholar
- Bombardier C, Melfi CA, Paul J, Green R, Hawker G, Wright J, Coyte P: Comparison of a generic and a disease-specific measure of pain and physical function after knee replacement surgery. Med Care. 1995, 33: AS131-44.PubMedGoogle Scholar
- Hawker G, Melfi C, Paul J, Green R, Bombardier C: Comparison of a generic (SF-36) and a disease specific (WOMAC) (Western Ontario and McMaster Universities Osteoarthritis Index) instrument in the measurement of outcomes after knee replacement surgery. J Rheumatol. 1995, 22: 1193-1196.PubMedGoogle Scholar
- Soderman P, Malchau H: Validity and reliability of Swedish WOMAC osteoarthritis index: a self-administered disease-specific questionnaire (WOMAC) versus generic instruments (SF-36 and NHP). Acta Orthop Scand. 2000, 71: 39-46. 10.1080/00016470052943874.View ArticlePubMedGoogle Scholar
- Fortin PR, Penrod JR, Clarke AE, St-Pierre Y, Joseph L, Belisle P, Liang MH, Ferland D, Phillips CB, Mahomed N, Tanzer M, Sledge C, Fossel AH, Katz JN: Timing of total joint replacement affects clinical outcomes among patients with osteoarthritis of the hip or knee. Arthritis Rheum. 2002, 46: 3327-3330. 10.1002/art.10631.View ArticlePubMedGoogle Scholar
- Boardman DL, Dorey F, Thomas BJ, Lieberman JR: The accuracy of assessing total hip arthroplasty outcomes: a prospective correlation study of walking ability and 2 validated measurement devices. J Arthroplasty. 2000, 15: 200-204.View ArticlePubMedGoogle Scholar
- Laupacis A, Bourne R, Rorabeck C, Feeny D, Wong C, Tugwell P, Leslie K, Bullas R: The effect of elective total hip replacement on health-related quality of life. J Bone Joint Surg Am. 1993, 75: 1619-1626.PubMedGoogle Scholar
- Parent E, Moffet H: Comparative responsiveness of locomotor tests and questionnaires used to follow early recovery after total knee arthroplasty. Arch Phys Med Rehabil. 2002, 83: 70-80. 10.1053/apmr.2002.27337.View ArticlePubMedGoogle Scholar
- Theiler R, Sangha O, Schaeren S, Michel BA, Tyndall A, Dick W, Stucki G: Superior responsiveness of the pain and function sections of the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) as compared to the Lequesne-Algofunctional Index in patients with osteoarthritis of the lower extremities. Osteoarthritis Cartilage. 1999, 7: 515-519. 10.1053/joca.1999.0262.View ArticlePubMedGoogle Scholar
- Ryser L, Wright BD, Aeschlimann A, Mariacher-Gehler S, Stucki G: A new look at the Western Ontario and McMaster Universities Osteoarthritis Index using Rasch analysis. Arthritis Care Res. 1999, 12: 331-335. 10.1002/1529-0131(199910)12:5<331::AID-ART4>3.0.CO;2-W.View ArticlePubMedGoogle Scholar
- Jones CA, Voaklander DC, Johnston DW, Suarez-Almazor ME: Health related quality of life outcomes after total hip and knee arthroplasties in a community based population. J Rheumatol. 2000, 27: 1745-1752.PubMedGoogle Scholar
- Whitehouse SL, Lingard EA, Katz JN, Learmonth ID: Development and testing of a reduced WOMAC function scale. J Bone Joint Surg Br. 2003, 85: 706-711.PubMedGoogle Scholar
- Davis AM, Badley EM, Beaton DE, Kopec J, Wright JG, Young NL, Williams JL: Rasch analysis of the Western Ontario McMaster (WOMAC) Osteoarthritis Index: results from community and arthroplasty samples. J Clin Epidemiol. 2003, 56: 1076-1083. 10.1016/S0895-4356(03)00179-3.View ArticlePubMedGoogle Scholar
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