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Full-Text Articles in Medicine and Health Sciences
Path Tortuosity In Everyday Movements Of Elderly Persons Increases Fall Prediction Beyond Knowledge Of Fall History, Medication Use, And Standardized Gait And Balance Assessments., William D. Kearns Phd, James L. Fozard Phd, Marion Becker Rn/Phd, Jan M. Jasiewicz Phd, Jeffrey D. Craighead Phd, Lori Holtsclaw Ba, Charles Dion Ma
Path Tortuosity In Everyday Movements Of Elderly Persons Increases Fall Prediction Beyond Knowledge Of Fall History, Medication Use, And Standardized Gait And Balance Assessments., William D. Kearns Phd, James L. Fozard Phd, Marion Becker Rn/Phd, Jan M. Jasiewicz Phd, Jeffrey D. Craighead Phd, Lori Holtsclaw Ba, Charles Dion Ma
William D. Kearns, PhD
Abstract Objectives: We hypothesized that variability in voluntary movement paths of assisted living facility (ALF) residents would be greater in the week preceding a fall compared with residents who did not fall. Design: Prospective, observational study using telesurveillance technology. Setting: Two ALFs. Participants: The sample consisted of 69 older ALF residents (53 female) aged 76.9 (SD=11.9 years). Measurement: Daytime movement in ALF common use areas was automatically tracked using a commercially available ultra-wideband radio real-time location sensor network with a spatial resolution of approximately 20 cm. Movement path variability (tortuosity) was gauged using fractal dimension (fractal D). A logistic regressionwas …
Nurse Manager Emotional Intelligence As A Predictor To Registered Nurse Job Satisfaction And Rn Perceptions Of The Practice Environment And The Relationship To Patient, Nursing And Hospital Outcomes, Jacqueline Cecilia Munro
Nurse Manager Emotional Intelligence As A Predictor To Registered Nurse Job Satisfaction And Rn Perceptions Of The Practice Environment And The Relationship To Patient, Nursing And Hospital Outcomes, Jacqueline Cecilia Munro
USF Tampa Graduate Theses and Dissertations
The purpose of this study was to determine if the level of Nurse Manager (NM) emotional intelligence (EI) predicted registered nurse (RN) job satisfaction and RN perceptions of the practice environment. In addition, relationships to patient, nursing, and hospital outcomes were explored. Participants included RNs (N=659) and NMs (N=38) from 53 nursing units at eight hospitals located in the southeast region of the United States. A cross-sectional, correlational research design was used to test the hypotheses. Pearson product-moment correlation coefficients, simple linear and multiple regression statistics were conducted to analyze the data. Level of NM EI had a positive, not …