Abstract
Abstract
Background
There is no gold standard patient-reported outcome measure (PROM) in hand surgery. As a result, a diverse array of PROM instruments have been utilized across centers over time. Lack of score interchangeability limits the ability to compare or conglomerate scores when new instruments are introduced. Our aim was to develop a linkage for the PROMIS UE CAT v1.2 and PROMIS PF CAT scores and develop crosswalk tables for interconversion between these PROMs.
Methods
Retrospective review was conducted to identify adult (≥ 18y) patients seen by orthopaedic hand surgeons at a single academic tertiary care hospital who had completed PROMIS UE CAT v1.2 and PROMIS PF CAT score at the same visit. For those with multiple visits, only one randomly selected visit was included in the analyses. Pearson’s correlation was calculated to determine the linear relationship between the scores. Linkage from PF to UE was performed utilizing several commonly utilized equating models (identity, mean, linear, equipercentile and circle-arc methods). The performance of the models was assessed using intraclass correlation (ICC) between observed PROMIS UE CAT v1.2 and estimated PROMIS UE CAT v1.2 scores generated using the model as well as Root Mean Square Error (RMSE). The model chosen as the ‘best’ was further assessed for population invariance using root expected mean squared difference (REMSD) where < 0.08 were considered good.
Results
Of 10,081 included patients, mean age was 48.3 (SD = 17.0), and 54% were female (5,477/10,081). Mean UE CAT v1.2 and PF CAT scores were 37 (SD = 9.8) and 46 (SD = 10.0), respectively. There was a strong correlation between the scores (Pearson correlation r = 0.70). All methods performed acceptably (ICC ≥ 0.66 and RMSE < = 7.52 for all). The equipercentile method had the highest ICC (ICC = 0.70 (95% CI 0.69–0.71)) while the mean and circle arc methods had the lowest RMSE. The circle arc method is the most reliable with the smallest standard error and has satisfactory population invariance across age group (REMSD 0.065) and sex (REMSD 0.036).
Conclusions
Crosswalk tables to be used for bidirectional conversion between scores were created.
Level of evidence
: III.
Funder
Foundation for the National Institutes of Health
Publisher
Springer Science and Business Media LLC
Reference40 articles.
1. Brook EM, Glerum KM, Higgins LD, Matzkin EG (2017) Implementing patient-reported outcome measures in your practice: pearls and pitfalls. Am J Orthop (Belle Mead NJ) 46(6):273–278
2. Chung KC, Burns PB, Davis Sears E (2006) Outcomes Research in hand surgery: where have we been and where should we go? J Hand Surg 31(8):1373–1379
3. Relman AS (1988) Assessment and accountability. N Engl J Med 319(18):1220–1222
4. Shapiro LM, Ring D, Akelman E et al (2021) How should we use patient-reported outcome measures at the Point of Care in hand surgery? J Hand Surg 46(12):1049–1056
5. Makhni EC, Baumhauer JF, Ayers D, Bozic KJ (2019) Patient-reported outcome measures: how and why they are collected. Instr Course Lect 68:675–680