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Psychometric properties of turkish versions of post- intensive care syndrome questionnaire and healthy aging brain care monitor self-report for evaluating post-intensive care syndrome

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Akademik Birimler

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Girgin, Nermin Kelebek
Dallı, Öznur Erbay
Çalışkan, Gülbahar

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Galenos Publ House

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BACKGROUND/AIMS: Post-intensive care syndrome (PICS) is frequently undertreated because of the complexity of its three domains and the need for different assessment tools. There is a need for clinical tools that can assess all PICS domains simultaneously and within a short period of time. This study aimed to determine the psychometric properties of the Turkish versions of the Post-Intensive Care Syndrome Questionnaire (PICSQ-T) and Healthy Aging Brain Care Monitor Self-Report (HABC-M-T).<br /> MATERIALS AND METHODS: This methodological study included 157 intensive care unit patients. The data were collected via telephone two weeks after patient discharge. Data collection tools included the Patient Characteristic Form, the PICSQ-T, the HABC-M-T, and the standardized external scales Pfeiffer's Short Portable Mental Status Questionnaire (cognitive domain), the Barthel Index (physical domain), and the Hospital Anxiety and Depression Scale (mental domain).<br /> RESULTS: The content validity indices of both scales were greater than 0.80 at the item and scale levels. According to confirmatory factor analysis, the 18-item PICSQ-T and 27-item HABC-M-T had good fit indices, and the factor loadings of the items of these scales were above 0.30. The scales showed a significant correlation with the standard scales corresponding to the three domains of PICS. Cronbach's alpha values were 0.94 for the PICSQ-T and 0.96 for the HABC-M-T. Test-retest analysis results were 0.84 for the PICSQ-T and 0.89 for the HABC-M-T.<br /> CONCLUSION: The results show that the PICSQ-T and HABC-M-T, which are highly valid and reliable, may be easily used to screen for PICS.

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Mental status questionnaire, Goodness-of-fit, Adaptation, Validation, Translation, Index, Post-intensive care syndrome, Critical care, Validity, Reliability, Science & technology, Life sciences & biomedicine, Medicine, research & experimental, Research & experimental medicine

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