Parallel-Forms Reliability and Clinical Utility of an Application Version of the Activity Card Sort Australia (18-64).

OBJECTIVE: This study examined the parallel-forms reliability of a web application (app) of the Activity Card Sort Australia for adults ages 18-64 and assessed its clinical utility. METHOD: Forty-eight participants completed the app and card versions of the tool within a 2- to 3-wk interval and provided feedback via a purpose-designed survey. Intraclass correlation analysis tested parallel-forms reliability. RESULTS: The app demonstrated acceptable parallel-forms reliability for overall retained activity level (r = .75, p < .001), the daily life domain (r = .77, p < .001), and the recreation and relaxation domain (r = .74, p < .001), but not for the physical activity domain (r = .59, p < .001). Clinical utility responses suggested good acceptance of both versions. CONCLUSION: The results suggest that further studies are required before the app version can be used for research or in clinical settings.

The construct validity of the Dutch version of the activity card sort.

PURPOSE: Establishing construct validity of the ACS-NL in individuals with Parkinson's disease (PD). METHOD: Discriminative validity was established in 191 community-dwelling individuals with PD using an extreme groups design (Hoehn and Yahr stages 1 and 3). Convergent validity was determined by relating the performance scores of the ACS-NL to the scores of the Canadian Occupational Performance Measure (COPM) and the Parkinson's Disease Questionnaire (PDQ-39) scores, and relating ACS-NL satisfaction scores to the COPM scores and to the Utrecht Scale for Evaluation of Rehabilitation Participation (USER-P). RESULTS: The ACS-NL discriminated between individuals with PD with H&Y stages 1 and 3 (U = 524.5, Z = -5.453). ACS-NL performance scores correlated weakly with COPM scores (r = (0).19) and moderately with PDQ-39 scores (r = 0.44-0.55). The ACS-NL satisfaction scores correlated weakly with COPM scores (r = 0.23), and moderately with USER-P scores (r ≥ 0.40). CONCLUSIONS: This study contributed to the validation of the ACS-NL. The assessment enhances the possibility of monitoring participation in activities in individuals with PD. Implications for Rehabilitation The ACS-NL appears to hold good potential for use in the assessment of participation in activities in individuals with PD. The ACS-NL has added value parallel to administration of other instruments measuring participation (COPM) and quality of life (PDQ-39). This study demonstrates the capacity of the ACS to measure a unique construct of participation and helps to improve the psychometric properties and administration of the ACS-NL in practice.

Sensor monitoring to measure and support daily functioning for independently living older people: a systematic review and road map for further development.

OBJECTIVES: To study sensor monitoring (use of a sensor network placed in the home environment to observe individuals' daily functioning (activities of daily living and instrumental activities of daily living)) as a method to measure and support daily functioning for older people living independently at home. DESIGN: Systematic review. SETTING: Participants' homes. PARTICIPANTS: Community-dwelling individuals aged 65 and older. MEASUREMENTS: A systematic search in PubMed, Embase, PsycINFO, INSPEC, and The Cochrane Library was performed for articles published between 2000 and October 2012. All study designs, studies that described the use of wireless sensor monitoring to measure or support daily functioning for independently living older people, studies that included community-dwelling individuals aged 65 and older, and studies that focused on daily functioning as a primary outcome measure were included. RESULTS: Seventeen articles met the inclusion criteria. Nine studies used sensor monitoring solely as a method for measuring daily functioning and detecting changes in daily functioning. These studies focused on the technical investigation of the sensor monitoring method used. The other studies investigated clinical applications in daily practice. The sensor data could enable healthcare professionals to detect alert conditions and periods of decline and could enable earlier intervention, although limited evidence of the effect of interventions was found in these studies because of a lack of high methodological quality. CONCLUSION: Studies on the effectiveness of sensor monitoring to support people in daily functioning remain scarce. A road map for further development is proposed.