P1.42: Pilotstudy on therapy optimisation protocols in chemo- and radiotherapy for patients with malignant lymphoma (TOPICS-ML)
✍ Scribed by Wolfgang Hoffmann; Stephanie Heidelbach; Ursula Paulus; Markus Löffler
- Publisher
- John Wiley and Sons
- Year
- 2004
- Tongue
- English
- Weight
- 75 KB
- Volume
- 46
- Category
- Article
- ISSN
- 0323-3847
No coin nor oath required. For personal study only.
✦ Synopsis
Neurological acute inpatient rehabilitation (NAIR) takes care of patients with serious brain dysfunctions. Assessment in NAIR aims at determining the degree of disability and to evaluate treatment effects (Wade, 1998). The most widely used instrument to assess functional status in patients in NAIR is the Functional Independence Measure ((Keith et al. , 1987), FIM). A broader view of health and health-related states is enabled by the International Classification of Functioning, Disability and Health (ICF) by the World Health Organization (WHO, 2001). The ICF is designed to record, code and organize a wide range of information about health and health-related states. The ICF is, however, limited in its practical use by the large number of categories. Developing concise but comprehensive core sets for specified patient groups and settings is therefore necessary. Our aim was to show if there are categories of the ICF which can predict functional status in patients in NAIR and if there are specific categories predicting the reported FIM scores. Participants of the cross-sectional study were recruited consecutively between June 2002 and March 2002 from two neurological rehabilitation centres. The questionnaire comprised questions on sociodemographic data, diagnoses, length of stay, FIM data, Barthel Index and 243 pre-selected categories of the 2nd level of the ICF. Input variables for the multivariable regression model have been selected by frequency, content linking and exploratory correlation of the ICF categories with FIM items and summary scores. 292 patient records have been included in the analysis. Depending on the choice of input variables up to 80% of the variance of the FIM summary score could be explained by corresponding ICF categories. A preliminary core set of ICF categories is presented which can serve as a common framework and language to measure typical impairment of patients in NAIR.