The Geriatric Institutional Assessment Profile (GIAP) is a self-administered survey of hospital nurses designed to assess a hospital's readiness to implement geriatric programs. The GIAP measures nurses' knowledge and attitudes toward older adults as well as the organizational attributes that support or constrain geriatric best practices. Test-retest reliability estimates of the GIAP were conducted with a sample of 166 direct care nurses in three urban, university-affiliated hospitals over a 3-week time period. Intraclass correlation coefficients of GIAP scales and subscales ranged between .82 and .92, demonstrating good to very good reliability. The GIAP is a reliable measure of organizational attributes of the hospital relevant to geriatric care.
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http://dx.doi.org/10.1177/1054773809338555 | DOI Listing |
J Transl Med
January 2025
School of Information and Communication Engineering, Dalian University of Technology, No. 2 Linggong Road, 116024, Dalian, China.
Background: Parkinson's Disease (PD) is a neurodegenerative disorder, and eye movement abnormalities are a significant symptom of its diagnosis. In this paper, we developed a multi-task driven by eye movement in a virtual reality (VR) environment to elicit PD-specific eye movement abnormalities. The abnormal features were subsequently modeled by using the proposed deep learning algorithm to achieve an auxiliary diagnosis of PD.
View Article and Find Full Text PDFBMC Public Health
January 2025
Department of Social Work, Hong Kong Baptist University, Hong Kong, China.
Background: The COVID-19 pandemic has had profound psychophysiological and socioeconomic effects worldwide. COVID-19 anxiety syndrome (CAS) is a specific cluster of maladaptive coping strategies, including perseveration and avoidance behaviours, in response to the perceived threat and fear of COVID-19. CAS is distinct from general COVID-19 anxiety.
View Article and Find Full Text PDFBMC Med Educ
January 2025
Department of Radiology and Tianjin Key Lab of Functional Imaging and Tianjin Institute of Radiology and State Key Laboratory of Experimental Hematology, Tianjin Medical University General Hospital, Tianjin, 300052, China.
Background: National Medical Licensing Examination (NMLE) is the entrance exam for medical practice in China, and its general medical knowledge test (GMKT) evaluates abilities of medical students to comprehensively apply medical knowledge to clinical practice. This study aimed to identify nonacademic predictors of GMKT performance, which would benefit medical schools in designing appropriate strategies and techniques to facilitate the transition from medical students to qualified medical practitioners.
Methods: In 1202 medical students, we conducted the deletion-substitution-addition (DSA) and structural equation model (SEM) analyses to identify nonacademic predictors of GMKT performance from 98 candidate variables including early life events, physical conditions, psychological and personality assessments, cognitive abilities, and socioeconomic conditions.
BMC Geriatr
January 2025
Emergency Department, Beaujon Hospital AP-HP, Clichy, France.
Background: The worldwide population is ageing and self-arm can be prevented with many techniques. Among them coercive measure consisting of physical restraint (PR) is one of the techniques. This study aims to assess the effects of the biological sex on the long-term survival after PR in geriatric patients during the initial emergency department (ED) visit.
View Article and Find Full Text PDFBMC Geriatr
January 2025
Department of Nursing, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, 322000, China.
Background: Existing fall risk assessment tools in clinical settings often lack accuracy. Although an increasing number of fall risk prediction models have been developed for hospitalized older patients in recent years, it remains unclear how useful these models are for clinical practice and future research.
Objectives: To systematically review published studies of fall risk prediction models for hospitalized older adults.
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