|Title||The AMC Linear Disability Score project in a population requiring residential care: psychometric properties|
|Year of Publication||2004|
|Authors||Holman, R, Lindeboom, R, Vermeulen, M, de Haan, RJ|
|Secondary Title||Health and Quality of Life Outcomes|
|ISBN Number||1477-7525 (Electronic)1477-7525 (Linking)|
|Keywords||*Disability Evaluation, *Health Status Indicators, Activities of Daily Living/*classification, Adult, Aged, Aged, 80 and over, Data Collection/methods, Female, Humans, Logistic Models, Male, Middle Aged, Netherlands, Pilot Projects, Probability, Psychometrics/*instrumentation, Questionnaires/standards, Residential Facilities/*utilization, Severity of Illness Index|
BACKGROUND: Currently there is a lot of interest in the flexible framework offered by item banks for measuring patient relevant outcomes, including functional status. However, there are few item banks, which have been developed to quantify functional status, as expressed by the ability to perform activities of daily life. METHOD: This paper examines the psychometric properties of the AMC Linear Disability Score (ALDS) project item bank using an item response theory model and full information factor analysis. Data were collected from 555 respondents on a total of 160 items. RESULTS: Following the analysis, 79 items remained in the item bank. The remaining 81 items were excluded because of: difficulties in presentation (1 item); low levels of variation in response pattern (28 items); significant differences in measurement characteristics for males and females or for respondents under or over 85 years old (26 items); or lack of model fit to the data at item level (26 items). CONCLUSIONS: It is conceivable that the item bank will have different measurement characteristics for other patient or demographic populations. However, these results indicate that the ALDS item bank has sound psychometric properties for respondents in residential care settings and could form a stable base for measuring functional status in a range of situations, including the implementation of computerised adaptive testing of functional status.