Logo image
Multi-centre modified Delphi exercise to identify candidate items for classifying early-stage symptomatic knee osteoarthritis
Journal article   Open access   Peer reviewed

Multi-centre modified Delphi exercise to identify candidate items for classifying early-stage symptomatic knee osteoarthritis

L.K. King, J.W. Liew, A. Mahmoudian, Q. Wang, N.E.J. Jansen, I. Stanaitis, V. Hung, F. Berenbaum, S. Das, C. Ding, …
Osteoarthritis and cartilage, Vol.33(1), pp.155-165
01/2025
PMID: 39521366
Web of Science ID: WOS:001393374100001

Metrics

Abstract

To generate a list of candidate items potentially useful for discriminating individuals with Early-stage Symptomatic Knee Osteoarthritis (EsSKOA) from those with other conditions and from established osteoarthritis (OA), and to reduce this list based on expert consensus. We conducted a three-round online international modified Delphi exercise with OA clinicians and researchers (“OA experts”). In Round 1, participants reviewed 84 candidate items and nominated additional item(s) potentially useful for EsSKOA classification; those nominated by ≥3 participants were added. In Round 2, participants rated perceived usefulness of 108 items (1 [not at all useful] to 9 [extremely useful]). In Round 3, participants could revise their ratings after reviewing Round 2 group median and quartiles. Following Round 3, we retained items with a median usefulness score >5 and ≥33.3% of participants categorised the item as useful (7 to 9), overall and in subgroup analysis by clinician field. There were 128 participants in Round 1 and 113 (88%) completed all rounds. We retained 77 items that spanned multiple domains (demographics, symptoms, physical exam, performance-based measures, imaging, laboratory investigations, and gross inspection/arthroscopy). Highly rated items included (median usefulness score): prior knee joint injury (8), diagnosis of OA in a different joint (7), and activity-related knee pain (7). The interquartile range was most often 3. We identified 77 items that OA experts consider potentially useful for EsSKOA classification. The results highlight experts’ uncertainty around item usefulness. Next, candidate items will be further assessed and reduced using data-driven and multicriteria decision analysis methods.
url
Multi-centre Modified Delphi Exercise...View
Published (Version of record)link to article Open

Related links

Details

Logo image