Harmonising knee pain patient-reported outcomes: a systematic literature review and meta-analysis of Patient Acceptable Symptom State (PASS) and individual participant data (IPD)
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Published version
Author(s)
Watt, Fiona
Georgopoulos, Vasileios
Type
Journal Article
Abstract
Objective: In order to facilitate data pooling between studies, we explored
harmonisation of patient-reported outcome measures (PROMS) in people with knee
pain due to osteoarthritis or knee trauma, using the Patient Acceptable Symptom State
scores (PASS) as a criterion.
Methods: We undertook a systematic literature review (SLR) of PASS scores, and
performed individual participant data (IPD) analysis of score distributions from
concurrently completed PROM pairs. Numerical rating scales (NRS), visual analogue
scales, KOOS and WOMAC pain questionnaires were standardised to 0 to 100 (worst)
scales. Meta-regression explored associations of PASS. Bland Altman plots compared
PROM scores within individuals using IPD from WebEx, KICK, MenTOR and NEKO
studies.
Results: SLR identified 18 studies reporting PASS in people with knee pain. Pooled
standardised PASS was 27 (95%CI: 21 to 35; n=6339). PASS was statistically similar
for each standardised PROM. Lower PASS was associated with lower baseline pain
(β=0.49, p=0.01) and longer time from treatment initiation (Q=6.35, p=0.04). PASS
scores were lowest in ligament rupture (12, 95%CI: 11 to 13), but similar between knee
osteoarthritis (31, 95%CI: 26 to 36) and meniscal tear (27, 95%CI: 20 to 35). In IPD,
standardised PROMs each revealed similar group mean scores, but scores within
individuals diverged between PROMs (LoA between -7 to -38 and +25 to 52).
Conclusion: Different standardised PROMs give similar PASS thresholds in group
data. PASS thresholds may be affected more by patient and treatment characteristics
than between PROMs. However, different PROMs give divergent scores within
individuals, possibly reflecting different experiences of pain.
harmonisation of patient-reported outcome measures (PROMS) in people with knee
pain due to osteoarthritis or knee trauma, using the Patient Acceptable Symptom State
scores (PASS) as a criterion.
Methods: We undertook a systematic literature review (SLR) of PASS scores, and
performed individual participant data (IPD) analysis of score distributions from
concurrently completed PROM pairs. Numerical rating scales (NRS), visual analogue
scales, KOOS and WOMAC pain questionnaires were standardised to 0 to 100 (worst)
scales. Meta-regression explored associations of PASS. Bland Altman plots compared
PROM scores within individuals using IPD from WebEx, KICK, MenTOR and NEKO
studies.
Results: SLR identified 18 studies reporting PASS in people with knee pain. Pooled
standardised PASS was 27 (95%CI: 21 to 35; n=6339). PASS was statistically similar
for each standardised PROM. Lower PASS was associated with lower baseline pain
(β=0.49, p=0.01) and longer time from treatment initiation (Q=6.35, p=0.04). PASS
scores were lowest in ligament rupture (12, 95%CI: 11 to 13), but similar between knee
osteoarthritis (31, 95%CI: 26 to 36) and meniscal tear (27, 95%CI: 20 to 35). In IPD,
standardised PROMs each revealed similar group mean scores, but scores within
individuals diverged between PROMs (LoA between -7 to -38 and +25 to 52).
Conclusion: Different standardised PROMs give similar PASS thresholds in group
data. PASS thresholds may be affected more by patient and treatment characteristics
than between PROMs. However, different PROMs give divergent scores within
individuals, possibly reflecting different experiences of pain.
Date Issued
2023-01
Date Acceptance
2022-08-16
Citation
Osteoarthritis and Cartilage, 2023, 31 (1), pp.83-95
ISSN
1063-4584
Publisher
Elsevier
Start Page
83
End Page
95
Journal / Book Title
Osteoarthritis and Cartilage
Volume
31
Issue
1
Copyright Statement
Crown Copyright © 2022 Published by Elsevier Ltd on behalf of Osteoarthritis Research Society
International. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
International. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
License URL
Identifier
https://www.sciencedirect.com/science/article/pii/S1063458422008299?via%3Dihub
Publication Status
Published
Date Publish Online
2022-09-08