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Different hip and knee priority score systems: are they good for the same thing?
Author(s) -
Escobar Antonio,
Quintana Jose Maria,
Espallargues Mireia,
Allepuz Alejandro,
Ibañez Berta
Publication year - 2010
Publication title -
journal of evaluation in clinical practice
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.737
H-Index - 73
eISSN - 1365-2753
pISSN - 1356-1294
DOI - 10.1111/j.1365-2753.2009.01234.x
Subject(s) - womac , pearson product moment correlation coefficient , medicine , correlation coefficient , cohen's kappa , physical therapy , osteoarthritis , kappa , prioritization , correlation , statistics , mathematics , alternative medicine , geometry , pathology , management science , economics
Objective The aim of the present study was to compare two priority tools used for joint replacement for patients on waiting lists, which use two different methods. Methods Two prioritization tools developed and validated by different methodologies were used on the same cohort of patients. The first, an IRYSS hip and knee priority score (IHKPS) developed by RAND method, was applied while patients were on the waiting list. The other, a Catalonia hip–knee priority score (CHKPS) developed by conjoint analysis, was adapted and applied retrospectively. In addition, all patients fulfilled pre‐intervention the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). Correlation between them was studied by Pearson correlation coefficient ( r ). Agreement was analysed by means of intra‐class correlation coefficient (ICC), Kendall coefficient and Cohern kappa. The relationship between IHKPS, CHKPS and baseline WOMAC scores by r coefficient was studied. Results The sample consisted of 774 consecutive patients. Pearson correlation coefficient between IHKPS and CHKPS was 0.79. The agreement study showed that ICC was 0.74, Kendall coefficient 0.86 and kappa 0.66. Finally, correlation between CHKPS and baseline WOMAC ranged from 0.43 to 0.64. The results according to the relationship between IHKPS and WOMAC ranged from 0.50 to 0.74. Conclusions Results support the hypothesis that if the final objective of the prioritization tools is to organize and sort patients on the waiting list, although they use different methodologies, the results are similar.