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Gepubliceerd in: Quality of Life Research 5/2024

Open Access 26-02-2024

Patient acceptable symptom state and treatment failure threshold values for work productivity and activity Impairment and EQ-5D-5L in osteoarthritis

Auteurs: Ali Kiadaliri, Anna Cronström, Leif E. Dahlberg, L. Stefan Lohmander

Gepubliceerd in: Quality of Life Research | Uitgave 5/2024

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Abstract

Objective

To estimate patient acceptable symptom state (PASS) and treatment failure (TF) threshold values for Work Productivity and Activity Impairment (WPAI) measure and EQ-5D-5L among people with hip or knee osteoarthritis (OA) 3 and 12 months following participation in a digital self-management intervention (Joint Academy®).

Methods

Among the participants, we computed work and activity impairments scores (both 0–100, with a higher value reflecting higher impairment) and the Swedish hypothetical- (range: − 0.314 to 1) and experience-based (range: 0.243–0.976) EQ-5D-5L index scores (a higher score indicates better health status) at 3- (n = 14,607) and 12-month (n = 2707) follow-ups. Threshold values for PASS and TF were calculated using anchor-based adjusted predictive modeling. We also explored the baseline dependency of threshold values according to pain severity at baseline.

Results

Around 42.0% and 48.3% of the participants rated their current state as acceptable, while 4.2% and 2.8% considered the treatment had failed at 3 and 12 months, respectively. The 3-month PASS/TF thresholds were 16/29 (work impairment), 26/50 (activity impairment), 0.92/0.77 (hypothetical EQ-5D-5L), and 0.87/0.77 (the experience-based EQ-5D-5L). The thresholds at 12 months were generally comparable to those estimated at 3 months. There were baseline dependencies in PASS/TF thresholds with participants with more severe baseline pain considering poorer (more severe) level of WPAI/EQ-5D-5L as satisfactory.

Conclusion

PASS and TF threshold values for WPAI and EQ-5D-5L might be useful for meaningful interpretation of these measures among people with OA. The observed baseline dependency of estimated thresholds limits their generalizability and values should be applied with great caution in other settings/populations.
Opmerkingen

Supplementary Information

The online version contains supplementary material available at https://​doi.​org/​10.​1007/​s11136-024-03602-6.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Introduction

Patient-reported outcome measures (PROMs) have increasingly been advocated to assess treatment effect from patient’s perspective in the clinical setting [1]. However, interpreting and communicating numeric PROMs values in a clinically relevant manner can be challenging since these values may not correlate with a patient’s perceived improvement and well-being [2, 3]. To address this, minimal clinically important difference (MCID)–defined as the smallest change in PROM scores that patients perceive as beneficial–was introduced [4]. While MCID measures how much improvement is needed for patients to feel “better,” it doesn’t provide insights on whether patients are satisfied (feel “good”) about their current status [5]. In other words, a meaningful improvement in a PROM does not necessarily reflect a desirable state, especially if a patient was in a “terrible” state to begin with [6]. In response, concepts of “patient acceptable symptom state” (PASS) [7] and “treatment failure” (TF) [8] have been introduced. PASS is the threshold above which patients will consider themselves “well” and satisfied with treatment [5], while TF is the threshold below which patients consider their symptoms to be unsatisfactory to a degree that they consider the treatment has failed [8].
While previous studies established PASS [2, 3, 7, 912] and TF [2, 10, 12] thresholds for PROMs assessing symptoms among patients with osteoarthritis (OA), less attention has been paid to generic PROMs measuring general health-related quality of life (HRQoL). Work Productivity and Activity Impairment: Specific Health Problem (WPAI:SHP) and EQ-5D-5L are two PROMs that are advocated for assessing HRQoL, including work and activity limitations in OA [13, 14]. A recent study reported that across five common instruments to measure work impairment, WPAI was the instrument preferred by participants [13]. EQ-5D is a simple self-administered questionnaire which is commonly used in the OA context and is the most commonly collected PROM in the Swedish National Quality Registers [15]. Although a few studies estimated the PASS thresholds for EQ-5D-3L in OA [1619], to our knowledge, only one recent study has estimated this for EQ-5D-5L in OA [20] and there is no reported PASS threshold for WPAI in OA or any other condition. Furthermore, while patient education, self-management, and exercises are recommended as core first-line treatments for all persons with OA, all previous (EQ-5D) PASS thresholds were estimated among people undergoing surgical treatment which is recommended as the last resort for a minority of people with severe signs and symptoms of OA [21]. This implies that current PASS thresholds might not be applicable for general OA population. More importantly, to our knowledge, no previous study has reported TF thresholds for either EQ-5D or WPAI in any population. Combination of PASS and TF thresholds can aid to determine the scores representing an acceptable or failed post-treatment outcome. To facilitate meaningful interpretation of the values reported for EQ-5D-5L and WPAI, the present study aimed to establish PASS and TF thresholds for these PROMs among participants of a digital first-line self-management program for OA.

Methods

This is a secondary analysis of register data obtained from consecutive participants of a digitally delivered self-management program for hip and knee OA, known as Joint Academy®, described in details elsewhere [22, 23]. In short, inspired by the Swedish first-line face-to-face management program for OA (known as “Better management of patients with OsteoArthritis” which exists as a National Quality Register), the digital program was introduced in Sweden in 2016 and is targeted toward exercise, physical activity, and education delivered by a smartphone application. It contains video lectures on OA, physical activity, and self-management as well as individualized exercises and a possibility to chat asynchronously with a physical therapist during the treatment. The program is covered by the national healthcare system in Sweden.

Participants

All participants aged 20 years and older with self-reported doctor/physiotherapist diagnosed hip or knee OA enrolled in the digital program between January 1st, 2019 and September 30th, 2021, who provided informed consent for research at enrollment were eligible for the current study (n = 16,640). Of these, we excluded those with missing responses to anchor questions at both follow-ups. We extracted the data in January 2022.

PROMs

The EQ-5D-5L is a generic preferences-based health measure consisting of the five dimensions of mobility, self-care, usual activities, pain/discomfort, and anxiety/depression. Each dimension has five levels of severity: no problems, slight problems, moderate problems, severe problems, and unable to /extreme problems, resulting in 3125 (5^5) unique health states [24]. The responses to the EQ-5D-5L can be summarized as a single score anchored at 1 (full health) and 0 (a state equivalent to dead) using a reference value set [24]. Values less than 0 are possible representing health states considered to be worse than dead. We used the Swedish hypothetical-based [25] and experienced-based [26] value sets to compute the EQ-5D-5L index score. The hypothetical-based value set ranges from -0.314 (worst health state) to 1 (best health state), while the experienced-based value set ranges from 0.243 to 0.976. We used both value sets to assess the potential differences between experience- and hypothetical-based scores.
The WPAI:SHP is a six-item validated instrument to measure the impact of a person’s specific health problem (OA in the current study) on work and daily non-work-related activities during the past 7 days [27]. Work impairment is calculated as summation of absenteeism + presenteeism. Absenteeism measures the percent work time missed due to OA and is calculated as [hours missed due to OA/ (hours missed due to OA + hours actually worked)]. Presenteeism measures the extent to which OA affected productivity while working. This was estimated by multiplying the percent actually working by the extent of work impairment due to OA (11-point numerical rating scale [NRS], 0 = OA had no effect on my work and 10 = OA completely prevented me from working). Activity impairment measures the extent to which OA influenced the ability to do regular daily activities (11-point NRS, 0 = OA had no effect on my daily activities and 10 = OA completely prevented me from doing my daily activities). Both work and activity impairments are expressed as percentages with higher numbers indicating greater impairments [27]. We measured work impairment only among the participants aged 70 years and younger who were employed when responding to the questionnaire.

Anchor questions

We evaluated PASS at 3 and 12 months after enrollment in the digital program by asking the question: “Considering your knee/hip function, do you feel that your current state is satisfactory? With knee/hip function, you should take into account all activities during your daily life, sport and recreational activities, your level of pain and other symptoms, and also your knee/hip-related quality of life.” The response options were “yes” or “no” [8]. We then asked the participants who answered “no” to the PASS anchor question to answer a second question related to TF: “Would you consider your current function as being so unsatisfactory that you think the treatment has failed?” (yes/no) [8].

Data analysis

Patient characteristics at enrollment are reported as mean (standard deviation [SD]) for continuous variables and number/proportions for categorical variables. We computed standardized mean difference to compare baseline characteristics of participants included and excluded from the analyses and applied a threshold of 0.1 to define important difference [28]. We used standardized mean difference instead of t tests or other statistical tests of hypothesis because it is not influenced by sample size and allows for comparison of the relative balance of variables measured in different units [28].
Using the responses to the PASS and TF anchor questions, we created a variable with 3 categories: (1) participants with a satisfactory symptom state (PASS = yes), (2) participants who considered the treatment failed (PASS = no & TF = yes), and (3) participants with neither an acceptable symptom state nor treatment failure (PASS = no and TF = no). We explored the distribution of PROMs across these categories. We evaluated the strength of correlations between the PROMs and this combined PASS and TF variable at each time point using Spearman’s correlation coefficient.
To estimate the PASS and TF thresholds for each PROM in each follow-up, we used an anchor-based approach known as “predictive modeling” which has been proposed to yield more precise estimates than receiver operating characteristic (ROC) approach [29]. The predictive modeling approach is based on a logistic regression, using the PASS/TF anchor responses as the dependent variable and PROMs as the single predictor:
$${\text{log}}(\frac{p}{1-p})=\alpha +\beta *PROM,$$
where p represents the proportion of satisfied people (i.e., PASS = yes/TF = no in estimating the PASS/TF thresholds for EQ-5D-5L scores where a higher score reflects better outcome and PASS = no/TF = yes in estimating the PASS/TF thresholds for WPAI:SPH where a higher score reflects a worse outcome). All people in the three categories mentioned above were included in the analysis. In estimating the PASS threshold, we treated individuals in category 1 as “yes” response and other two groups as “no” response, while in estimating the TF threshold, people in groups 1 and 3 were considered as “no treatment failure” and those in group 2 as “treatment failure.” The threshold is defined as the PROM score that corresponds to a likelihood ratio of 1. With a likelihood ratio of 1, the post-test odds of “yes” response are the same as the pre-test odds of “yes” response. However, both ROC and predictive modeling approaches may be biased if the dependent variable is unequally distributed, that is, the proportion of respondents having a satisfactory symptom state differs from 50% [30]. We therefore applied an adjustment recommended by Terluin et al. [30]. We used bootstrap replications (n = 1000) to obtain the threshold values (as the mean of bootstrap replications) and corresponding 95% confidence intervals (CI).
We also explored the baseline dependency of the PASS/TF thresholds. To avoid possible spurious baseline dependency, it is recommended to use a different PROM that is correlated with the PROM of interest to assess the baseline dependency [31]. Therefore, we used 11-point numerical rating scale (NRS) pain measuring pain during the last week in the joint of interest ranging from 0 (indicated no pain) to 10 (indicating the worst possible pain). We used the NRS pain median scores at enrollment to split the sample into high and low pain intensity. We conducted a subgroup analysis by osteoarthritis site (i.e., knee and hip OA) and another one by age in which we divided the participants into two groups by the median age in our sample (≤ 65 years vs. > 65 years). Since work impairment is less relevant for people aged > 65 years, we did not estimate the threshold values for work impairment in our subgroup analysis by age. We employed bootstrapping (n = 1000) to generate 95% CI around the differences in the PASS/TF thresholds between these subgroups. In a sensitivity analysis, we estimated the thresholds only among participants with responses in both follow-ups (complete case analysis). Statistical analyses were implemented in RStudio (version 2022.07.2) and Stata v.17.

Results

Of 16,640 eligible participants, we excluded 2007 (12.1%) individuals who did not respond to anchor questions at any follow-up. There were differences in the baseline characteristics of participants included and those excluded, with the latter being older, with a higher proportion of hip OA and having poorer PROMs scores than those included (Table 1). A total of 14,633 individual aged 24–94 years with mean (SD) age 64.1 (9.1) years and 75.5% females were included. Of included participants, 14,607 and 2707 provided 3- and 12-month responses, respectively. It should be noted that the smaller sample size at 12-month follow-up was mainly due to the study time-frame. That is, most participants didn’t reach their 12-month follow-up when data were extracted in January 2022 (e.g., 9199 individuals enrolled between February and September 2021). For participants included in the study, the mean (SD) hypothetical and experience-based EQ-5D-5L index scores were 0.84 (0.17) and 0.82 (0.11) at baseline, respectively. The corresponding figures for WPAI–work and –activity impairments were 24.3 (24.8) and 39.3 (23.7). The correlation coefficients between PROMs and anchor questions were generally ≥ 0.35 with higher values at 12- than 3-month follow-up (Table 2).
Table 1
Baseline characteristics of persons enrolled in the digital program
Variable
Included
Excluded
Standardized mean differenceb
 
3 months
12 months
All
  
N
14,607
2707
14,633
2007
Female, n (%)
11,028 (75.5)
2061 (76.1)
11,045 (75.5)
1516 (75.5)
 − 0.001
Age, mean (± SD)
64.1 (9.1)
64.3 (8.6)
64.1 (9.1)
65.6 (10.3)
 − 0.164
Body mass index, mean (± SD)
27.2 (4.7)
27.0 (4.8)
27.2 (4.7)
27.2 (4.8)
 − 0.003
NRS Pain, mean (± SD)
5.1 (1.9)
5.0 (1.9)
5.1 (1.9)
5.2 (2.1)
 − 0.046
Hypothetical-based EQ-5D-5L score, mean (± SD)
0.84 (0.17)
0.85 (0.17)
0.84 (0.17)
0.81 (0.20)
0.166
Experience-based EQ-5D-5L score, mean (± SD)
0.82 (0.11)
0.82 (0.11)
0.82 (0.11)
0.81 (0.13)
0.149
WPAI–overall work impairment (%), mean (± SD)a
24.3 (24.8)
24.3 (24.5)
24.3 (24.8)
26.1 (25.7)
 − 0.073
WPAI–activity impairment (%), mean (± SD)
39.3 (23.7)
39.4 (23.5)
39.3 (23.7)
41.8 (24.9)
 − 0.101
Education, n (%)
     
 Less than high school
11,180 (8.1)
184 (6.8)
1181 (8.1)
183 (9.1)
 − 0.037
 High school
5244 (35.9)
880 (32.5)
5252 (35.9)
711 (35.4)
0.010
 College/university
8183 (56.0)
1643 (60.7)
8200 (56.0)
1113 (55.5)
0.012
 Knee as the index joint, n (%)
8756 (59.9)
1677 (62.0)
8771 (59.9)
1067 (53.2)
0.137
NRS Pain = 0–10 (higher value indicates more pain), Work/Activity impairment = 0–100 (higher value indicates higher impairment)
SD standard deviation, NRS numeric rating scale, WPAI work productivity and activity impairment
aFor employed participants aged 70 years and younger (n = 5464 for all, n = 5453 for 3 months, n = 967 for 12 months, and n = 619 for excluded)
bAll included vs. excluded with a value < 0.10 suggesting comparable characteristics
Table 2
Spearman correlation coefficients between anchor questions and patent-reported outcome measures
Measure
3-month
12-month
Hypothetical-based EQ-5D-5L score
 − 0.47
 − 0.52
Experience-based EQ-5D-5L score
 − 0.47
 − 0.52
WPAI–overall work impairment
0.21
0.36
WPAI–activity impairment
0.50
0.54
At 3-month follow-up, 6128 (42.0%) participants reported their current state as satisfactory, while 613 (4.2%) considered the treatment had failed (Fig. 1). Corresponding proportions at 12-month follow-up were 48.2% and 2.8%, respectively. Participants with a satisfactory symptom state reported better PROMs scores (i.e., higher EQ-5D-5L and lower work/activity impairments) than others in both follow-ups (Fig. 2). The PASS thresholds for the hypothetical EQ-5D-5L were 0.92 (95% CI 0.91, 0.92) and 0.91 (0.91, 0.921) at 3- and 12-month follow-ups (Table 3). Corresponding figures were 0.87 (95% CI 0.87, 0.87) and 0.87 (0.86, 0.87) for the experience-based EQ-5D-5L at these time points. The TF thresholds for hypothetical/experience-based EQ-5D-5L were 0.77 (95% CI 0.76, 0.78)/0.77 (0.76, 0.77) at 3-month and 0.75 (0.73, 0.77)/0.75 (0.73, 0.77) at 12-month follow-ups (Table 3). The PASS thresholds for WPAI–work and WPAI–activity impairments were 16 (95% CI 15, 16) and 26 (26, 26), respectively, at 3-month follow-up (Table 4). Similar PASS thresholds were estimated at 12-month follow-up. The TF thresholds for work impairment were 29 (95% CI 28, 31) and 33 (29, 39) at 3- and 12-month follow-ups, respectively. Corresponding figures for activity impairment were 50 (95% CI 49, 51) and 49 (46, 52), respectively (Table 4).
Table 3
Patient acceptable symptom state (PASS) and treatment failure (TF) thresholds (95% confidence intervals) for EQ-5D-5L at 3 and 12 months after enrollment in the digital program, stratified by baseline pain intensity
 
All
Mild baseline pain
Severe baseline pain
Difference
3-month responses
N = 14,607
N = 5535
N = 9072
 
PASS
    
 Hypothetical-based EQ-5D-5L score
0.92 (0.91, 0.92)
0.94 (0.94, 0.94)
0.90 (0.90, 0.91)
0.04 (0.03, 0.04)
 Experience-based EQ-5D-5L score
0.87 (0.87, 0.87)
0.90 (0.90, 0.90)
0.86 (0.86, 0.86)
0.04 (0.04, 0.04)
TF
    
 Hypothetical-based EQ-5D-5L score
0.77 (0.76, 0.78)
0.88 (0.87, 0.89)
0.73 (0.72, 0.74)
0.15 (0.14, 0.17)
 Experience-based EQ-5D-5L score
0.77 (0.76, 0.77)
0.84 (0.83, 0.84)
0.74 (0.73, 0.75)
0.10 (0.09, 0.11)
12-month responses
N = 2707
N = 1101
N = 1606
 
PASS
    
 Hypothetical-based EQ-5D-5L score
0.91 (0.91, 0.92)
0.93 (0.92, 0.93)
0.90 (0.89, 0.91)
0.03 (0.02, 0.04)
 Experience-based EQ-5D-5L score
0.87 (0.86, 0.87)
0.89 (0.88, 0.89)
0.86 (0.85, 0.86)
0.03 (0.03, 0.04)
TF
    
 Hypothetical-based EQ-5D-5L score
0.75 (0.73, 0.77)
0.85 (0.82, 0.87)
0.70 (0.67, 0.73)
0.15 (0.11, 0.19)
 Experience-based EQ-5D-5L score
0.75 (0.73, 0.77)
0.81 (0.80, 0.83)
0.72 (0.70, 0.74)
0.10 (0.07, 0.12)
Table 4
Patient acceptable symptom state (PASS) and treatment failure (TF) thresholds (95% confidence intervals) for Work Productivity and Activity Impairment (WPAI) questionnaire at 3 and 12 months after enrollment in the digital program, stratified by baseline pain intensity
 
All
Mild baseline pain
Severe baseline pain
Difference
3-month responses
N = 14,607
N = 5535
N = 9072
 
PASS
    
 WPAI–overall work impairment a
16 (15, 16)
10 (9, 10)
20 (19, 21)
 − 10 (− 11, − 9)
 WPAI–activity impairment
26 (26, 26)
19 (19, 20)
31 (30, 31)
 − 12 (− 12, − 11)
TF
    
 WPAI–overall work impairment a
29 (28, 31)
18 (16, 22)
34 (32, 36)
 − 15 (− 19, − 12)
 WPAI–activity impairment
50 (49, 51)
36 (34, 38)
54 (53, 56)
 − 19 (− 21, − 16)
12-month responses
N = 2707
N = 1101
N = 1606
 
PASS
    
 WPAI–overall work impairmentb
16 (14, 17)
11 (9, 12)
18 (16, 20)
 − 7 (− 10, − 5)
 WPAI–activity impairment
26 (25, 27)
21 (20, 22)
29 (28, 30)
 − 8 (− 10, − 7)
TF
    
 WPAI–overall work impairmentb
33 (29, 39)
21 (16, 27)
40 (33, 47)
 − 19 (− 28, − 10)
 WPAI–activity impairment
49 (46, 52)
38 (32, 43)
54 (50, 58)
 − 16 (− 23, − 9)
aThe sample sizes were 5564 (All), 2104 (mild), and 3460 (severe)
bThe sample sizes were 933 (All), 366 (mild), and 567 (severe)
Our subgroup analysis showed that the PASS/TF thresholds of EQ-5D-5L for participants with severe pain were 0.03 to 0.04/0.10 to 0.15 units lower than those with mild pain at baseline (Table 3). For WPAI–work impairment, participants with severe pain had 8–10/15–19 points higher PASS/TF thresholds compared with those with mild pain. Corresponding differences for the WPAI–activity impairment ranged between 8 and 12 for the PASS thresholds and between 16 and 19 for the TF thresholds. Our complete cases analysis (n = 2681) showed that 40.5 and 48.2% of participants reported their current state as satisfactory at 3- and 12-month follow-ups, while 2.8% considered the treatment had failed at both follow-ups. We obtained almost identical PASS/TF thresholds among those with complete responses (Table A1 in appendix). Comparing knee vs. hip OA subgroups suggested that while the PASS thresholds were generally comparable between two groups, there were differences in the TF thresholds where hip OA patients tended to consider poorer PROMs as acceptable (Tables A2 and A3 in appendix). The TF/PASS thresholds were comparable for individuals aged ≤ 65 years and those older than 65 years (Table A4 in appendix).

Discussion

In this study, we estimated the PASS and TF thresholds for EQ-5D-5L and WPAI among a large cohort of persons with knee or hip OA participating in a digital self-management program. Our results showed that at 3 and 12 months following participation in the digital program, around 42–48% of participants considered their current state as satisfactory, while 2–4% considered the treatment had failed. The PASS thresholds for EQ-5D-5L ranged between 0.87 and 0.92 and the TF thresholds ranged between 0.75 and 0.77, with higher PASS thresholds for the Swedish hypothetical than experience-based value set. The estimated PASS and TF thresholds for WPAI were 16–26 and 29–50, respectively, with higher thresholds for WPAI–activity than WPAI–work impairments. While we failed to detect any difference in our estimates across follow-up time, the baseline pain severity had significant effects on the estimated thresholds with those with more severe pain at baseline being prepared to accept poorer PROMs.
To our knowledge, only one previous study reported PASS thresholds, ranging from 0.68 to 0.85 for EQ-5D-5L among people undergoing total hip or knee replacement in Canada [20]. Consistent with our finding they also reported variation in the PASS thresholds according to the EQ-5D-5L value set. In the present study, the Swedish hypothetical value set was associated with 0.04- to 0.05-unit higher PASS thresholds compared with the experience-based EQ-5D-5L value set. This is in contrast with the results from Cooper et al. [32] reporting higher PASS thresholds for the Swedish experience-based than the UK hypothetical EQ-5D-3L value set among persons with chronic arthritic diseases. While, the narrower range and higher mean EQ-5D scores for experience based compared with hypothetical-based value sets are well-documented [3335], the mean Swedish experience-based EQ-5D-5L values are lower than the Swedish hypothetical-based values for mild health states [25]. Given that the most participants in our sample reported no to moderate problems across all dimensions of EQ-5D-5L, the mean hypothetical values were higher than the experience-based values. For instance, at 3-month follow-up, the proportions of participants with no to moderate problems ranged from 92.7% for pain/discomfort to 99.3% for self-care which resulted in 13,234 (90.6%) of participants being in a health state with larger hypothetical than experience-based EQ-5D-5L scores.
For WPAI, our results suggest that participants consider work and activity impairment scores less than 16 and 26 (out of 100), respectively, as acceptable while scores above 29–33 and 49–50 would be considered as treatment failure. Larger thresholds values for WPAI–activity than WPAI–work impairment is possibly due to higher level of activity impairment than work impairment in our sample. For instance, among the participants with both WPAI–activity and –work impairments responses at baseline (n = 5453), the mean scores were 37.3% and 24.3%, respectively.
For both PROMs, we found that the estimated thresholds were stable over time. Previous studies have reported mixed findings on the time dependency of the thresholds [17, 18, 20]. Consistent with our finding, Connelly et al. [18] and Giesinger et al. [36] reported time-constant thresholds for EQ-5D-3L. Conner‑Spady et al. [20] reported time-dependent PASS thresholds for EQ-5D-5L among people undergoing total knee replacement when using Canadian value set, while time-constant thresholds were reported when the EQ-5D-5L scores were calculated using crosswalk. Naal et al. [17] reported time-dependent PASS thresholds for EQ-5D-3L among persons with total hip arthroplasty and time-constant PASS threshold among those with total knee arthroplasty.
Our results showed that persons with more severe pain at baseline were willing to accept poorer (more severe) PROMs after participation in the digital program. While the baseline dependency of PASS/TF thresholds for EQ-5D-5L and WPAI has not previously been explored, the baseline dependency of PASS/TF thresholds for other PROMs is well documented [2, 9, 37]. This baseline dependency calls for considering the comparability of population’s characteristics when using the PASS/TF thresholds reported in the present study in other populations. In other words, while the estimated PASS/TF thresholds in the total sample can be applied in the population with similar baseline characteristics (e.g., NRS pain 5, the Swedish hypothetical/experience-based EQ-5D-5L score 0.84/0.82 and work/activity impairments 24/39), for populations with milder/more severe symptoms, the threshold values from our subgroup analysis should be used. Albeit, other factors such as type of intervention and co-existing conditions might also influence the thresholds and hence application in other population should be done with caution.
The observed tendency among participants with hip OA, compared to knee OA, to accept poorer PROMs might be due to a higher proportion of respondents considering the treatment failed in the former group (4.9% vs. 3.8% at 3 months and 3.9% vs. 2.2% at 12 months). Moreover, participants with hip OA who considered the treatment failed had poorer baseline health status than their counterparts with knee OA. For instance, while the EQ-5D-5L scores were comparable for participants with knee and hip OA who responded “no” to the treatment failure question (0.83 vs. 0.82 for the experience-based values and 0.85 vs. 0.84 for the hypothetical values), there were larger differences among those who considered the treatment failed (0.78 vs 0.73 for the experience-based values and 0.77 vs. 0.72 for the hypothetical values). Limited variations in the estimated thresholds across age groups were consistent with previous results on the EQ-5D index score PASS thresholds [16, 19]. This finding implies that the estimated PASS/TF thresholds can be applied across different age subgroups.
Estimating the first TF threshold for EQ-5D-5L and first TF/PASS thresholds for WPAI, a large sample of persons with knee or hip OA participating in a digital first-line treatment, and the use of a less biased and more precise approach to estimate the thresholds are the main strengths of the present study. Using a dichotomized anchor question reflecting patients’ own judgment on satisfaction with their symptoms was another strength of the current study [18]. However, several limitations of the study should be considered when interpreting the findings. While the correlation between anchor questions and PROMs were generally acceptable confirming their validity, the anchor-PROM correlation for the WPAI–work activity and TF anchor question at 3-month follow-up was inadequate (< 0.30) [38] which calls for caution in interpreting this threshold. The rate of satisfaction relies on the focus of the anchor question [39]. In the present study, the PASS/TF anchor questions focused on participants’ satisfaction with their current state of knee/hip symptoms and functions which are different from the focus of EQ-5D-5L (overall health-related quality of life) and WPAI (work and activity). This might have influenced the correlations and accuracy of our estimates, particularly for work impairment which has less overlap with symptoms/functions than health-related quality of life and daily activity. Although the anchor questions used in the current study are widely used to estimate PASS/TF thresholds [6, 8, 10], there is no gold standard to capture patients’ satisfaction and alternative anchor questions with different wording might result in different thresholds. The study cohort included individuals with self-reported OA who self-selected to participate in a digital program. These individuals are different from those participating in the face-to-face OA core treatment [40] as well as from those identified in routine practice [41], particularly with higher proportion of females and high educated people in the digital program. Most individuals (91%) participated in the program during the COVID-19 pandemic which could influence their health status and responses to the anchor questions and RROMs, especially 3993 (24%) individuals participating during February–December 2020 prior to initiation of COVID-19 vaccination in Sweden and hence limit the generalizability of our findings. There were some differences between those included in the analysis and those excluded because of missing responses. These might limit the generalizability of our findings. WPAI captures work impairments among people who are employed and hence the findings are not applicable to individuals who lost their jobs due to OA.

Conclusion

This study provides the first PASS and TF thresholds for EQ-5D-5L and WPAI among persons undergoing a digital first-line treatment for OA. These thresholds might facilitate meaningful interpretation of these PROMs among people with knee or hip OA. Our results suggest that the EQ-5D-5L and WPAI PASS/TF thresholds were stable over time and hence can be applied across different time points after first-line treatments for OA. However, observed variations by value set (for EQ-5D-5L) and baseline pain intensity might limit their generalizability and hence should be applied with great caution in other settings/populations.

Acknowledgements

The authors would like to thank Dr. Majda Misini Ignjatovic for helping with data acquisition.

Declarations

Conflict of interest

AK and LSL act as part-time advisors for Joint Academy®. LED is the founder and chief medical officer at Joint Academy®. AC declares no conflict of interest.

Ethical approval

The present study was approved by the Swedish Ethical Review Board (Dnr 2021–01713, 2021–06-16) and performed in accordance with the Declaration of Helsinki.
Digital informed consent was obtained from all participants at enrollment.
Digital informed consent was obtained from all participants included in the study.
Patients provided informed consent regarding publishing the research findings (non-identifiable data).
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by/​4.​0/​.

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Literatuur
1.
go back to reference Tubach, F., Ravaud, P., Beaton, D., Boers, M., Bombardier, C., Felson, D. T., van der Heijde, D., Wells, G., & Dougados, M. (2007). Minimal clinically important improvement and patient acceptable symptom state for subjective outcome measures in rheumatic disorders. Journal of Rheumatology, 34(5), 1188–1193.PubMed Tubach, F., Ravaud, P., Beaton, D., Boers, M., Bombardier, C., Felson, D. T., van der Heijde, D., Wells, G., & Dougados, M. (2007). Minimal clinically important improvement and patient acceptable symptom state for subjective outcome measures in rheumatic disorders. Journal of Rheumatology, 34(5), 1188–1193.PubMed
2.
go back to reference Ingelsrud, L. H., Terluin, B., Gromov, K., Price, A., Beard, D., & Troelsen, A. (2021). Which Oxford Knee Score level represents a satisfactory symptom state after undergoing a total knee replacement? Acta Orthopaedica, 92(1), 85–90.CrossRefPubMed Ingelsrud, L. H., Terluin, B., Gromov, K., Price, A., Beard, D., & Troelsen, A. (2021). Which Oxford Knee Score level represents a satisfactory symptom state after undergoing a total knee replacement? Acta Orthopaedica, 92(1), 85–90.CrossRefPubMed
3.
go back to reference Kunze, K. N., Fontana, M. A., MacLean, C. H., Lyman, S., & McLawhorn, A. S. (2022). Defining the patient acceptable symptom state for the HOOS JR and KOOS JR after primary total joint arthroplasty. Journal of Bone and Joint Surgery. American Volume, 104(4), 345–352.PubMed Kunze, K. N., Fontana, M. A., MacLean, C. H., Lyman, S., & McLawhorn, A. S. (2022). Defining the patient acceptable symptom state for the HOOS JR and KOOS JR after primary total joint arthroplasty. Journal of Bone and Joint Surgery. American Volume, 104(4), 345–352.PubMed
4.
go back to reference Jaeschke, R., Singer, J., & Guyatt, G. H. (1989). Measurement of health status. Ascertaining the minimal clinically important difference. Control Clin Trials, 10(4), 407–415. Jaeschke, R., Singer, J., & Guyatt, G. H. (1989). Measurement of health status. Ascertaining the minimal clinically important difference. Control Clin Trials, 10(4), 407–415.
5.
go back to reference Kvien, T. K., Heiberg, T., & Hagen, K. B. (2007). Minimal clinically important improvement/difference (MCII/MCID) and patient acceptable symptom state (PASS): What do these concepts mean? Annals of the Rheumatic Diseases, 66(Suppl 3), 40–41. Kvien, T. K., Heiberg, T., & Hagen, K. B. (2007). Minimal clinically important improvement/difference (MCII/MCID) and patient acceptable symptom state (PASS): What do these concepts mean? Annals of the Rheumatic Diseases, 66(Suppl 3), 40–41.
6.
go back to reference Roos, E. M., Boyle, E., Frobell, R. B., Lohmander, L. S., & Ingelsrud, L. H. (2019). It is good to feel better, but better to feel good: Whether a patient finds treatment “successful” or not depends on the questions researchers ask. British Journal of Sports Medicine, 53(23), 1474–1478.CrossRefPubMed Roos, E. M., Boyle, E., Frobell, R. B., Lohmander, L. S., & Ingelsrud, L. H. (2019). It is good to feel better, but better to feel good: Whether a patient finds treatment “successful” or not depends on the questions researchers ask. British Journal of Sports Medicine, 53(23), 1474–1478.CrossRefPubMed
7.
go back to reference Tubach, F., Ravaud, P., Baron, G., Falissard, B., Logeart, I., Bellamy, N., Bombardier, C., Felson, D., Hochberg, M., van der Heijde, D., & Dougados, M. (2005). Evaluation of clinically relevant states in patient reported outcomes in knee and hip osteoarthritis: The patient acceptable symptom state. Annals of the Rheumatic Diseases, 64(1), 34–37.CrossRefPubMed Tubach, F., Ravaud, P., Baron, G., Falissard, B., Logeart, I., Bellamy, N., Bombardier, C., Felson, D., Hochberg, M., van der Heijde, D., & Dougados, M. (2005). Evaluation of clinically relevant states in patient reported outcomes in knee and hip osteoarthritis: The patient acceptable symptom state. Annals of the Rheumatic Diseases, 64(1), 34–37.CrossRefPubMed
8.
go back to reference Ingelsrud, L. H., Granan, L. P., Terwee, C. B., Engebretsen, L., & Roos, E. M. (2015). Proportion of patients reporting acceptable symptoms or treatment failure and their associated KOOS values at 6 to 24 months after anterior cruciate ligament reconstruction: A study from the Norwegian knee ligament registry. American Journal of Sports Medicine, 43(8), 1902–1907.CrossRefPubMed Ingelsrud, L. H., Granan, L. P., Terwee, C. B., Engebretsen, L., & Roos, E. M. (2015). Proportion of patients reporting acceptable symptoms or treatment failure and their associated KOOS values at 6 to 24 months after anterior cruciate ligament reconstruction: A study from the Norwegian knee ligament registry. American Journal of Sports Medicine, 43(8), 1902–1907.CrossRefPubMed
9.
go back to reference Georgopoulos, V., Smith, S., McWilliams, D. F., Steultjens, M. P. M., Williams, A., Price, A., Valdes, A. M., Vincent, T. L., Watt, F. E., & Walsh, D. A. (2023). Harmonising knee pain patient-reported outcomes: A systematic literature review and meta-analysis of Patient Acceptable Symptom State (PASS) and individual participant data (IPD). Osteoarthritis Cartilage, 31(1), 83–95.CrossRefPubMed Georgopoulos, V., Smith, S., McWilliams, D. F., Steultjens, M. P. M., Williams, A., Price, A., Valdes, A. M., Vincent, T. L., Watt, F. E., & Walsh, D. A. (2023). Harmonising knee pain patient-reported outcomes: A systematic literature review and meta-analysis of Patient Acceptable Symptom State (PASS) and individual participant data (IPD). Osteoarthritis Cartilage, 31(1), 83–95.CrossRefPubMed
10.
go back to reference Harris, L. K., Troelsen, A., Terluin, B., Gromov, K., Overgaard, S., Price, A., & Ingelsrud, L. H. (2023). Interpretation threshold values for the oxford hip score in patients undergoing total hip arthroplasty: Advancing their clinical use. Journal of Bone and Joint Surgery, 105, 797–804.CrossRef Harris, L. K., Troelsen, A., Terluin, B., Gromov, K., Overgaard, S., Price, A., & Ingelsrud, L. H. (2023). Interpretation threshold values for the oxford hip score in patients undergoing total hip arthroplasty: Advancing their clinical use. Journal of Bone and Joint Surgery, 105, 797–804.CrossRef
11.
go back to reference Clement, N. D., Scott, C. E. H., Hamilton, D. F., MacDonald, D., & Howie, C. R. (2021). Meaningful values in the Forgotten Joint Score after total knee arthroplasty. Bone Joint J, 103-B(5), 846–854.CrossRefPubMed Clement, N. D., Scott, C. E. H., Hamilton, D. F., MacDonald, D., & Howie, C. R. (2021). Meaningful values in the Forgotten Joint Score after total knee arthroplasty. Bone Joint J, 103-B(5), 846–854.CrossRefPubMed
12.
go back to reference Cronström, A., Ingelsrud, L. H., Nero, H., Lohmander, L. S., Ignjatovic, M. M., Dahlberg, L. E., & Kiadaliri, A. (2023). Interpretation threshold values for patient-reported outcomes in patients participating in a digitally delivered first-line treatment program for hip or knee osteoarthritis. Osteoarthritis and Cartilage Open, 5(3), 100375.CrossRefPubMedPubMedCentral Cronström, A., Ingelsrud, L. H., Nero, H., Lohmander, L. S., Ignjatovic, M. M., Dahlberg, L. E., & Kiadaliri, A. (2023). Interpretation threshold values for patient-reported outcomes in patients participating in a digitally delivered first-line treatment program for hip or knee osteoarthritis. Osteoarthritis and Cartilage Open, 5(3), 100375.CrossRefPubMedPubMedCentral
13.
go back to reference Leggett, S., van der Zee-Neuen, A., Boonen, A., Beaton, D., Bojinca, M., Bosworth, A., Dadoun, S., Fautrel, B., Hagel, S., Hofstetter, C., Lacaille, D., Linton, D., Mihai, C., Petersson, I. F., Rogers, P., Scire, C., & Verstappen, S. M. (2016). Content validity of global measures for at-work productivity in patients with rheumatic diseases: An international qualitative study. Rheumatology (Oxford), 55(8), 1364–1373.CrossRefPubMed Leggett, S., van der Zee-Neuen, A., Boonen, A., Beaton, D., Bojinca, M., Bosworth, A., Dadoun, S., Fautrel, B., Hagel, S., Hofstetter, C., Lacaille, D., Linton, D., Mihai, C., Petersson, I. F., Rogers, P., Scire, C., & Verstappen, S. M. (2016). Content validity of global measures for at-work productivity in patients with rheumatic diseases: An international qualitative study. Rheumatology (Oxford), 55(8), 1364–1373.CrossRefPubMed
14.
go back to reference Bilbao, A., Garcia-Perez, L., Arenaza, J. C., Garcia, I., Ariza-Cardiel, G., Trujillo-Martin, E., Forjaz, M. J., & Martin-Fernandez, J. (2018). Psychometric properties of the EQ-5D-5L in patients with hip or knee osteoarthritis: Reliability, validity and responsiveness. Quality of Life Research, 27(11), 2897–2908.CrossRefPubMed Bilbao, A., Garcia-Perez, L., Arenaza, J. C., Garcia, I., Ariza-Cardiel, G., Trujillo-Martin, E., Forjaz, M. J., & Martin-Fernandez, J. (2018). Psychometric properties of the EQ-5D-5L in patients with hip or knee osteoarthritis: Reliability, validity and responsiveness. Quality of Life Research, 27(11), 2897–2908.CrossRefPubMed
15.
go back to reference Ernstsson, O., Janssen, M. F., & Heintz, E. (2020). Collection and use of EQ-5D for follow-up, decision-making, and quality improvement in health care—The case of the Swedish National Quality Registries. Journal of Patient Reported Outcomes, 4(1), 78.CrossRefPubMedPubMedCentral Ernstsson, O., Janssen, M. F., & Heintz, E. (2020). Collection and use of EQ-5D for follow-up, decision-making, and quality improvement in health care—The case of the Swedish National Quality Registries. Journal of Patient Reported Outcomes, 4(1), 78.CrossRefPubMedPubMedCentral
16.
go back to reference Paulsen, A., Roos, E. M., Pedersen, A. B., & Overgaard, S. (2014). Minimal clinically important improvement (MCII) and patient-acceptable symptom state (PASS) in total hip arthroplasty (THA) patients 1 year postoperatively. Acta Orthopaedica, 85(1), 39–48.CrossRefPubMedPubMedCentral Paulsen, A., Roos, E. M., Pedersen, A. B., & Overgaard, S. (2014). Minimal clinically important improvement (MCII) and patient-acceptable symptom state (PASS) in total hip arthroplasty (THA) patients 1 year postoperatively. Acta Orthopaedica, 85(1), 39–48.CrossRefPubMedPubMedCentral
17.
go back to reference Naal, F. D., Impellizzeri, F. M., Lenze, U., Wellauer, V., von Eisenhart-Rothe, R., & Leunig, M. (2015). Clinical improvement and satisfaction after total joint replacement: A prospective 12-month evaluation on the patients’ perspective. Quality of Life Research, 24(12), 2917–2925.CrossRefPubMed Naal, F. D., Impellizzeri, F. M., Lenze, U., Wellauer, V., von Eisenhart-Rothe, R., & Leunig, M. (2015). Clinical improvement and satisfaction after total joint replacement: A prospective 12-month evaluation on the patients’ perspective. Quality of Life Research, 24(12), 2917–2925.CrossRefPubMed
18.
go back to reference Connelly, J. W., Galea, V. P., Rojanasopondist, P., Matuszak, S. J., Ingelsrud, L. H., Nielsen, C. S., Bragdon, C. R., Huddleston, J. I., 3rd., Malchau, H., & Troelsen, A. (2019). Patient acceptable symptom state at 1 and 3 years after total knee arthroplasty: Thresholds for the Knee Injury and Osteoarthritis Outcome Score (KOOS). Journal of Bone and Joint Surgery, 101(11), 995–1003.CrossRef Connelly, J. W., Galea, V. P., Rojanasopondist, P., Matuszak, S. J., Ingelsrud, L. H., Nielsen, C. S., Bragdon, C. R., Huddleston, J. I., 3rd., Malchau, H., & Troelsen, A. (2019). Patient acceptable symptom state at 1 and 3 years after total knee arthroplasty: Thresholds for the Knee Injury and Osteoarthritis Outcome Score (KOOS). Journal of Bone and Joint Surgery, 101(11), 995–1003.CrossRef
19.
go back to reference Florissi, I., Galea, V., Shin, D., Sauder, N., Colon Iban, Y. E., Ingelsrud, L. H., Troelsen, A., Bragdon, C., & Malchau, H. (2021). External validation of achieving the patient acceptable symptom state for the EuroQol-5 dimension 1 year after total hip arthroplasty. Journal of Bone and Joint Surgery, 103(2), e5.CrossRef Florissi, I., Galea, V., Shin, D., Sauder, N., Colon Iban, Y. E., Ingelsrud, L. H., Troelsen, A., Bragdon, C., & Malchau, H. (2021). External validation of achieving the patient acceptable symptom state for the EuroQol-5 dimension 1 year after total hip arthroplasty. Journal of Bone and Joint Surgery, 103(2), e5.CrossRef
20.
go back to reference Conner-Spady, B. L., Marshall, D. A., Bohm, E., Dunbar, M. J., Loucks, L., & Noseworthy, T. W. (2023). Patient acceptable symptom state (PASS): Thresholds for the EQ-5D-5L and Oxford hip and knee scores for patients with total hip and knee replacement. Quality of Life Research, 32(2), 519–530.CrossRefPubMed Conner-Spady, B. L., Marshall, D. A., Bohm, E., Dunbar, M. J., Loucks, L., & Noseworthy, T. W. (2023). Patient acceptable symptom state (PASS): Thresholds for the EQ-5D-5L and Oxford hip and knee scores for patients with total hip and knee replacement. Quality of Life Research, 32(2), 519–530.CrossRefPubMed
21.
go back to reference Arden, N. K., Perry, T. A., Bannuru, R. R., Bruyere, O., Cooper, C., Haugen, I. K., Hochberg, M. C., McAlindon, T. E., Mobasheri, A., & Reginster, J. Y. (2021). Non-surgical management of knee osteoarthritis: Comparison of ESCEO and OARSI 2019 guidelines. Nature Reviews Rheumatology, 17(1), 59–66.CrossRefPubMed Arden, N. K., Perry, T. A., Bannuru, R. R., Bruyere, O., Cooper, C., Haugen, I. K., Hochberg, M. C., McAlindon, T. E., Mobasheri, A., & Reginster, J. Y. (2021). Non-surgical management of knee osteoarthritis: Comparison of ESCEO and OARSI 2019 guidelines. Nature Reviews Rheumatology, 17(1), 59–66.CrossRefPubMed
22.
go back to reference Dahlberg, L. E., Grahn, D., Dahlberg, J. E., & Thorstensson, C. A. (2016). A web-based platform for patients with osteoarthritis of the hip and knee: A pilot study. JMIR Res Protoc, 5(2), e115.CrossRefPubMedPubMedCentral Dahlberg, L. E., Grahn, D., Dahlberg, J. E., & Thorstensson, C. A. (2016). A web-based platform for patients with osteoarthritis of the hip and knee: A pilot study. JMIR Res Protoc, 5(2), e115.CrossRefPubMedPubMedCentral
23.
go back to reference Dahlberg, L. E., Dell’Isola, A., Lohmander, L. S., & Nero, H. (2020). Improving osteoarthritis care by digital means—Effects of a digital self-management program after 24- or 48-weeks of treatment. PLoS ONE, 15(3), e0229783.CrossRefPubMedPubMedCentral Dahlberg, L. E., Dell’Isola, A., Lohmander, L. S., & Nero, H. (2020). Improving osteoarthritis care by digital means—Effects of a digital self-management program after 24- or 48-weeks of treatment. PLoS ONE, 15(3), e0229783.CrossRefPubMedPubMedCentral
24.
go back to reference Herdman, M., Gudex, C., Lloyd, A., Janssen, M., Kind, P., Parkin, D., Bonsel, G., & Badia, X. (2011). Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L). Quality of Life Research, 20(10), 1727–1736.CrossRefPubMedPubMedCentral Herdman, M., Gudex, C., Lloyd, A., Janssen, M., Kind, P., Parkin, D., Bonsel, G., & Badia, X. (2011). Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L). Quality of Life Research, 20(10), 1727–1736.CrossRefPubMedPubMedCentral
25.
go back to reference Sun, S., Chuang, L. H., Sahlén, K. G., Lindholm, L., & Norström, F. (2022). Estimating a social value set for EQ-5D-5L in Sweden. Health and Quality of Life Outcomes, 20(1), 167.CrossRefPubMedPubMedCentral Sun, S., Chuang, L. H., Sahlén, K. G., Lindholm, L., & Norström, F. (2022). Estimating a social value set for EQ-5D-5L in Sweden. Health and Quality of Life Outcomes, 20(1), 167.CrossRefPubMedPubMedCentral
26.
go back to reference Burstrom, K., Teni, F. S., Gerdtham, U. G., Leidl, R., Helgesson, G., Rolfson, O., & Henriksson, M. (2020). Experience-based Swedish TTO and VAS value sets for EQ-5D-5L health states. PharmacoEconomics, 38(8), 839–856.CrossRefPubMed Burstrom, K., Teni, F. S., Gerdtham, U. G., Leidl, R., Helgesson, G., Rolfson, O., & Henriksson, M. (2020). Experience-based Swedish TTO and VAS value sets for EQ-5D-5L health states. PharmacoEconomics, 38(8), 839–856.CrossRefPubMed
27.
go back to reference Reilly, M. C., Zbrozek, A. S., & Dukes, E. M. (1993). The validity and reproducibility of a work productivity and activity impairment instrument. PharmacoEconomics, 4(5), 353–365.CrossRefPubMed Reilly, M. C., Zbrozek, A. S., & Dukes, E. M. (1993). The validity and reproducibility of a work productivity and activity impairment instrument. PharmacoEconomics, 4(5), 353–365.CrossRefPubMed
28.
go back to reference Austin, P. C. (2009). Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples. Statistics in Medicine, 28(25), 3083–3107.CrossRefPubMedPubMedCentral Austin, P. C. (2009). Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples. Statistics in Medicine, 28(25), 3083–3107.CrossRefPubMedPubMedCentral
29.
go back to reference Terluin, B., Eekhout, I., Terwee, C. B., & de Vet, H. C. (2015). Minimal important change (MIC) based on a predictive modeling approach was more precise than MIC based on ROC analysis. Journal of Clinical Epidemiology, 68(12), 1388–1396.CrossRefPubMed Terluin, B., Eekhout, I., Terwee, C. B., & de Vet, H. C. (2015). Minimal important change (MIC) based on a predictive modeling approach was more precise than MIC based on ROC analysis. Journal of Clinical Epidemiology, 68(12), 1388–1396.CrossRefPubMed
30.
go back to reference Terluin, B., Eekhout, I., & Terwee, C. B. (2017). The anchor-based minimal important change, based on receiver operating characteristic analysis or predictive modeling, may need to be adjusted for the proportion of improved patients. Journal of Clinical Epidemiology, 83, 90–100.CrossRefPubMed Terluin, B., Eekhout, I., & Terwee, C. B. (2017). The anchor-based minimal important change, based on receiver operating characteristic analysis or predictive modeling, may need to be adjusted for the proportion of improved patients. Journal of Clinical Epidemiology, 83, 90–100.CrossRefPubMed
31.
go back to reference Terluin, B., Roos, E. M., Terwee, C. B., Thorlund, J. B., & Ingelsrud, L. H. (2021). Assessing baseline dependency of anchor-based minimal important change (MIC): Don’t stratify on the baseline score! Quality of Life Research, 30(10), 2773–2782.CrossRefPubMedPubMedCentral Terluin, B., Roos, E. M., Terwee, C. B., Thorlund, J. B., & Ingelsrud, L. H. (2021). Assessing baseline dependency of anchor-based minimal important change (MIC): Don’t stratify on the baseline score! Quality of Life Research, 30(10), 2773–2782.CrossRefPubMedPubMedCentral
32.
go back to reference Cooper, A., Wallman, J. K., & Gulfe, A. (2016). What PASSes for good? Experience-based Swedish and hypothetical British EuroQol 5-dimensions preference sets yield markedly different point estimates and patient acceptable symptom state cut-off values in chronic arthritis patients on TNF blockade. Scandinavian Journal of Rheumatology, 45(6), 470–473.CrossRefPubMed Cooper, A., Wallman, J. K., & Gulfe, A. (2016). What PASSes for good? Experience-based Swedish and hypothetical British EuroQol 5-dimensions preference sets yield markedly different point estimates and patient acceptable symptom state cut-off values in chronic arthritis patients on TNF blockade. Scandinavian Journal of Rheumatology, 45(6), 470–473.CrossRefPubMed
33.
go back to reference Poudel, N., Fahim, S. M., Qian, J., Garza, K., Chaiyakunapruk, N., & Ngorsuraches, S. (2022). Methodological similarities and variations among EQ-5D-5L value set studies: A systematic review. Journal of Medical Economics, 25(1), 571–582.CrossRefPubMed Poudel, N., Fahim, S. M., Qian, J., Garza, K., Chaiyakunapruk, N., & Ngorsuraches, S. (2022). Methodological similarities and variations among EQ-5D-5L value set studies: A systematic review. Journal of Medical Economics, 25(1), 571–582.CrossRefPubMed
34.
go back to reference Joelson, A., Wildeman, P., Sigmundsson, F. G., Rolfson, O., & Karlsson, J. (2021). Properties of the EQ-5D-5L when prospective longitudinal data from 28,902 total hip arthroplasty procedures are applied to different European EQ-5D-5L value sets. Lancet Reg Health Eur, 8, 100165.CrossRefPubMedPubMedCentral Joelson, A., Wildeman, P., Sigmundsson, F. G., Rolfson, O., & Karlsson, J. (2021). Properties of the EQ-5D-5L when prospective longitudinal data from 28,902 total hip arthroplasty procedures are applied to different European EQ-5D-5L value sets. Lancet Reg Health Eur, 8, 100165.CrossRefPubMedPubMedCentral
35.
go back to reference Kiadaliri, A. A., Eliasson, B., & Gerdtham, U. G. (2015). Does the choice of EQ-5D tariff matter? A comparison of the Swedish EQ-5D-3L index score with UK, US, Germany and Denmark among type 2 diabetes patients. Health and Quality of Life Outcomes, 13, 145.CrossRefPubMedPubMedCentral Kiadaliri, A. A., Eliasson, B., & Gerdtham, U. G. (2015). Does the choice of EQ-5D tariff matter? A comparison of the Swedish EQ-5D-3L index score with UK, US, Germany and Denmark among type 2 diabetes patients. Health and Quality of Life Outcomes, 13, 145.CrossRefPubMedPubMedCentral
36.
go back to reference Giesinger, J. M., Hamilton, D. F., Jost, B., Behrend, H., & Giesinger, K. (2015). WOMAC, EQ-5D and knee society score thresholds for treatment success after total knee arthroplasty. Journal of Arthroplasty, 30(12), 2154–2158.CrossRefPubMed Giesinger, J. M., Hamilton, D. F., Jost, B., Behrend, H., & Giesinger, K. (2015). WOMAC, EQ-5D and knee society score thresholds for treatment success after total knee arthroplasty. Journal of Arthroplasty, 30(12), 2154–2158.CrossRefPubMed
37.
go back to reference Harris, L. K., Troelsen, A., Terluin, B., Gromov, K., Price, A., & Ingelsrud, L. H. (2022). Interpretation threshold values for the Oxford Knee Score in patients undergoing unicompartmental knee arthroplasty. Acta Orthopaedica, 93, 634–642.CrossRefPubMedPubMedCentral Harris, L. K., Troelsen, A., Terluin, B., Gromov, K., Price, A., & Ingelsrud, L. H. (2022). Interpretation threshold values for the Oxford Knee Score in patients undergoing unicompartmental knee arthroplasty. Acta Orthopaedica, 93, 634–642.CrossRefPubMedPubMedCentral
38.
go back to reference Revicki, D., Hays, R. D., Cella, D., & Sloan, J. (2008). Recommended methods for determining responsiveness and minimally important differences for patient-reported outcomes. Journal of Clinical Epidemiology, 61(2), 102–109.CrossRefPubMed Revicki, D., Hays, R. D., Cella, D., & Sloan, J. (2008). Recommended methods for determining responsiveness and minimally important differences for patient-reported outcomes. Journal of Clinical Epidemiology, 61(2), 102–109.CrossRefPubMed
39.
go back to reference Clement, N. D., Bardgett, M., Weir, D., Holland, J., Gerrand, C., & Deehan, D. J. (2018). The rate and predictors of patient satisfaction after total knee arthroplasty are influenced by the focus of the question: A standard satisfaction question is required. The Bone & Joint Journal, 100-B(6), 740–748.CrossRef Clement, N. D., Bardgett, M., Weir, D., Holland, J., Gerrand, C., & Deehan, D. J. (2018). The rate and predictors of patient satisfaction after total knee arthroplasty are influenced by the focus of the question: A standard satisfaction question is required. The Bone & Joint Journal, 100-B(6), 740–748.CrossRef
40.
go back to reference Jonsson, T., Dell’Isola, A., Lohmander, L. S., Wagner, P., & Cronstrom, A. (2022). Comparison of face-to-face vs digital delivery of an osteoarthritis treatment program for hip or knee osteoarthritis. JAMA Network Open, 5(11), e2240126.CrossRefPubMedPubMedCentral Jonsson, T., Dell’Isola, A., Lohmander, L. S., Wagner, P., & Cronstrom, A. (2022). Comparison of face-to-face vs digital delivery of an osteoarthritis treatment program for hip or knee osteoarthritis. JAMA Network Open, 5(11), e2240126.CrossRefPubMedPubMedCentral
41.
go back to reference Kiadaliri, A., & Englund, M. (2021). Osteoarthritis and risk of hospitalization for ambulatory care-sensitive conditions: A general population-based cohort study. Rheumatology (Oxford), 60(9), 4340–4347.CrossRefPubMed Kiadaliri, A., & Englund, M. (2021). Osteoarthritis and risk of hospitalization for ambulatory care-sensitive conditions: A general population-based cohort study. Rheumatology (Oxford), 60(9), 4340–4347.CrossRefPubMed
Metagegevens
Titel
Patient acceptable symptom state and treatment failure threshold values for work productivity and activity Impairment and EQ-5D-5L in osteoarthritis
Auteurs
Ali Kiadaliri
Anna Cronström
Leif E. Dahlberg
L. Stefan Lohmander
Publicatiedatum
26-02-2024
Uitgeverij
Springer International Publishing
Gepubliceerd in
Quality of Life Research / Uitgave 5/2024
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-024-03602-6

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