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(1) Background: This study aimed to test the feasibility of utilizing the screening tool for fall risk assessment in adult inpatient and verify its accuracy in a medical center in Taiwan. (2) Methods: This study retrospectively collected all adult fall cases among inpatients occurring in the general wards of a medical center between 1 January 2013 and 31 December 2015. This inpatient fall risk screening scale was measured by the sensitivity, specificity, and accuracy. (3) Results: There were 1331 (0.4%) falls among a total of 357,395 inpatients during this period. Factors predictive of falling risk included: age, consciousness, body shift assistance, use of fall risk medications, fall history, dizziness or weakness, toileting, and impaired mobility. Using the eight-factor assessment, two was the best cutoff point for identifying the fall risk group, with area under Receiver Operating Characteristic (ROC) curve (AUC) = 0.817, sensitivity = 80.93%, specificity = 73.0%, accuracy = 73.03%, and likelihood ratio = 11.48. (4) Conclusions: The accuracy of the eight-item fall risk assessment tool created for this study was validated. These results can serve as a reference for institutions to develop more effective fall risk assessment scale for inpatients, enabling clinical nurses to identify and more comprehensively assess the groups at highest risk for falling during their hospital stay. [ABSTRACT FROM AUTHOR]

Aims and objectives. To examine the psychometric properties of the Menopausal Symptoms Distress Affecting Sleep Quality Scale. Background. Sleep disturbances are an extensive and common problem among menopausal women. However, no unique and specific scale has yet been developed to detect the inductive symptoms distresses that cause poor sleep quality for menopausal women. Design. A cross-sectional design. Methods. The Menopausal Symptoms Distress Affecting Sleep Quality Scale was based on in-depth interviews with menopausal women and literature review. Convenience sampling was employed. One hundred and fifty three women participated in this study. Exploratory factor analysis, concurrent validity and contrasting group validity were used to examine the validity of the Menopausal Symptoms Distress Affecting Sleep Quality Scale. Cronbach's a was conducted to test the reliability. The accuracy of the scale was analysed with the receiver operating characteristic from MED CALC version 10.4.8.0 software. The scale's sensitivity, specificity, positive and negative predictive value were analysed to locate the best cut-off point. Results. One factor was generated by Exploratory factor analysis, and this factor explained 49-07% of total variance. In addition, the Menopausal Symptoms Distress Affecting Sleep Quality Scale had significant positive correlations with the Greene Climacteric Scale and the self-evaluation of menopausal symptoms scale. Cronbach's a of the Menopausal Symptoms Distress Affecting Sleep Quality Scale was 0-89. Moreover, the diagnostic accuracy probability of the scale's receiver operating characteristic curve was 0-85. The best cut-off point was three with a sensitivity of 76% and a specificity of 87%. Conclusions. The Menopausal Symptoms Distress Affecting Sleep Quality Scale had good reliability and validity, as well as refined indicators for assessing the tool's accuracy. Relevance to clinical Practice. The Menopausal Symptoms Distress Affecting Sleep Quality Scale is easy to use, can quickly detect the sleep conditions of menopausal women who suffer from menopausal symptom distress, and provide efficient nursing interventions to relieve menopausal symptom distresses, and then improve sleep quality. [ABSTRACT FROM AUTHOR]