Cut-off for the Life-Space Assessment in persons with cognitive impairment

• Verfasst von: Ullrich, Phoebe [VerfasserIn]
• Verfasst von: Werner, Christian [VerfasserIn]
• Verfasst von: Eckert, Tobias [VerfasserIn]
• Verfasst von: Bongartz, Martin [VerfasserIn]
• Verfasst von: Kiss, Rainer [VerfasserIn]
• Verfasst von: Feißt, Manuel [VerfasserIn]
• Verfasst von: Delbaere, Kim [VerfasserIn]
• Verfasst von: Bauer, Jürgen M. [VerfasserIn]
• Verfasst von: Hauer, Klaus [VerfasserIn]
• Titel: Cut-off for the Life-Space Assessment in persons with cognitive impairment
• Verf.angabe: Phoebe Ullrich, Christian Werner, Tobias Eckert, Martin Bongartz, Rainer Kiss, Manuel Feißt, Kim Delbaere, Jürgen M. Bauer, Klaus Hauer
• E-Jahr: 2019
• Jahr: September 2019
• Umfang: 5 S.
• Fussnoten: September 2019 ; Gesehen am 05.02.2019
• Titel Quelle: Enthalten in: Aging clinical and experimental research
• Ort Quelle: Berlin : Heidelberg : Springer, 2002
• Jahr Quelle: 2019
• Band/Heft Quelle: 31(2019), 9, Seite 1331-1335
• ISSN Quelle: 1720-8319
• DOI: doi:10.1007/s40520-018-1062-2
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Cognitive impairment
• Sach-SW: Cut-off
• Sach-SW: Life-Space
• Sach-SW: Mobility
• K10plus-PPN: 1689278196

Abstract

Background: A version of the Life-Space Assessment in persons with cognitive impairment (LSA-CI) has recently been developed. Aims: To establish a cut-off value for the newly developed Life-Space Assessment in persons with cognitive impairment (LSA-CI). Methods: In a cross-sectional study including 118 multimorbid, older persons with cognitive impairment, life-space mobility (LSM) was documented by the LSA-CI. The analysis was rationalized by Global Positioning System (GPS)-based measures of spatial distance from home. A receiver-operating characteristic (ROC) curve was created and the cut-off point for the LSA-CI was identified with the Youden’s Index. Results: ROC curve analysis indicated a critical value of 26.75 (within a range of 0-90) to differentiate between low and high LSM with a sensitivity of 78.1% and specificity of 84.2%. Discussion: Diagnostic interpretation of the ROC curves revealed that low and high LSM groups can be differentiated with the proposed cut-off. Conclusions: The proposed LSA-CI cut-off score can be recommended to tailor clinical interventions and evaluate change over time.