Abstract
OBJECTIVE: The Self-Awareness in Daily Life-3 Scale (SADL-3) was designed to assess self-awareness in the chronic phase after acquired brain injury (ABI). The main objective was to evaluate its feasibility and usability for clinical practice, reliability and validity.
METHODS: Participants were 89 patients with ABI. SADL-3 core distributions, floor and ceiling effects and percentage of missing items were used. Ratings made by two staff members and ratings at two time points were compared. SADL-3 ratings were compared with Awareness Questionnaire (AQ) ratings, Patient Competency Rating Scale (PCRS) ratings, and ratings made on the Clinician's Rating Scale for evaluating Impaired Self-Awareness and Denial of Disability (CRS-ISA-DD). Staff members completed a questionnaire concerning the usability of the SADL-3.
RESULTS: No floor or ceiling effects were present. Results show sufficient inter-rater reliability (ICC > .40), acceptable test-retest reliability (ρs > .75) and sufficient convergent validity (ρs > .30). The median administration time was 15 minutes (SD = 21.2). Most staff members rated the SADL-3 as fairly easy to very easy to complete.
CONCLUSIONS: The SADL-3 is a brief scale with sufficient psychometric properties. Teams can use it in clinical practice to identify patients' self-awareness in the chronic phase after ABI.
| Original language | English |
|---|---|
| Pages (from-to) | 598-609 |
| Number of pages | 12 |
| Journal | Brain Injury |
| Volume | 33 |
| Issue number | 5 |
| Early online date | 19 Jan 2019 |
| DOIs | |
| Publication status | Published - 16 Apr 2019 |
Keywords
- Acquired brain injury
- self-awareness
- scale
- psychometric evaluation
- RATING-SCALE
- DEFICITS
- REHABILITATION
- MODERATE
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Psychometric evaluation of the Self-Awareness in Daily Life-3 Scale (SADL-3) for the assessment of self-awareness after acquired brain injury
Winkens, I. (Creator), Prinsen, A. (Contributor), Meijerink, A. (Contributor), Heugten Van, C. (Contributor) & Ponds, R. (Contributor), DataverseNL, 17 Jul 2019
DOI: 10.34894/3ihor8
Dataset/Software: Dataset
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