Premium
The stability of the M anual A bility C lassification S ystem over time
Author(s) -
Öhrvall AnnMarie,
KrumlindeSundholm Lena,
Eliasson AnnChristin
Publication year - 2014
Publication title -
developmental medicine and child neurology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.658
H-Index - 143
eISSN - 1469-8749
pISSN - 0012-1622
DOI - 10.1111/dmcn.12348
Subject(s) - intraclass correlation , predictive value , stability (learning theory) , psychology , audiology , medicine , developmental psychology , psychometrics , machine learning , computer science
Aim To evaluate the stability over time of the M anual A bility C lassification S ystem ( MACS ) levels. Method The study group comprised 1267 children with cerebral palsy (746 males, 521 females) who were followed from 2005 to 2010 with two or more registered MACS classifications rated at least 1 year apart. Thirty‐five percent of the children ( n =445) had four MACS registrations. The children were between 4 and 17 years old at their first rating, The stability over time was also compared between children who were younger (4y of age) or older (≥10y) at the time of their first classification. Results An excellent stability was found between two ratings at 1‐year intervals with an intraclass correlation coefficient ( ICC ) of 0.97 (95% CI 0.97–0.97) and 82% agreement ( n =1267). The stability was also excellent for two ratings performed 3 to 5 years apart ( ICC 0.96; 95% CI 0.95–0.97) with an agreement of 78% ( n =445). Across four ratings, 70% of the children remained at the same level. The results were similar for younger and older children, indicating that stability was not influenced by age. Interpretation This study provides evidence that MACS levels are stable over time and that the classification has predictive value.