Objective: This descriptive study reveals how nurses working in public hospitals rated their practice environments with respect to nurse-friendly hospital criteria.
Methods: This study was conducted on 460 nurses volunteering to participate this study among 735 nurses working in inpatient wards of three public hospitals. Data were collected using a personal information form and the Adapted Nursing Work Index-Revised. Numbers, percentages, means and standard deviations, -test and one-way variance analysis were used to evaluate the data.
Results: Among the nurse-friendly hospital criteria, 'control of nursing practice', 'middle management accountability' and 'quality initiatives' had the highest mean scores, and 'competitive wages' had the lowest mean score. The assessments of the nurses presented statistically significant differences with respect to personal and occupational variables.
Conclusion: The nurses found most of the nurse-friendly hospital criteria adequate, but they believed that several areas needed improvement.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6626204 | PMC |
http://dx.doi.org/10.1016/j.ijnss.2018.01.001 | DOI Listing |
Curr Opin Crit Care
June 2024
Connected Care Centre, Isala, Zwolle.
Purpose Of Review: Wearable wireless sensors for continuous vital signs monitoring (CVSM) offer the potential for early identification of patient deterioration, especially in low-intensity care settings like general wards. This study aims to review advances in wearable CVSM - with a focus on the general ward - highlighting the technological characteristics of CVSM systems, user perspectives and impact on patient outcomes by exploring recent evidence.
Recent Findings: The accuracy of wearable sensors measuring vital signs exhibits variability, especially notable in ambulatory patients within hospital settings, and standard validation protocols are lacking.
J Adv Nurs
October 2024
Department of Business Management, Institute of Health Care Management, National Sun Yat-sen University, Kaohsiung, Taiwan.
Aim: This study explored whether hospitals that allocate greater resources to their nursing staff provide better healthcare services than those that invest less in their nursing personnel.
Design: Cross-sectional logistic and tobit analyses.
Methods: We examined a sample of 314 California hospitals in 2017.
J Clin Nurs
May 2019
Department of Nursing, Gimcheon University, Gimcheon-si, Korea.
Aims And Objectives: To explore the factors associated with the intention to leave among nurses in small- and medium-sized hospitals and to determine the predictors about work environment and rewards.
Background: Compared with large hospitals, insight into the working conditions, rewards and turnover of nurses working for these hospitals is lacking internationally.
Design: Cross-sectional study design.
Int J Nurs Sci
April 2018
Faculty of Health Sciences, Department of Nursing, Erzincan University, Erzincan, Turkey.
Objective: This descriptive study reveals how nurses working in public hospitals rated their practice environments with respect to nurse-friendly hospital criteria.
Methods: This study was conducted on 460 nurses volunteering to participate this study among 735 nurses working in inpatient wards of three public hospitals. Data were collected using a personal information form and the Adapted Nursing Work Index-Revised.
Neurocrit Care
February 2017
Departments of Neurology and Neurological Surgery, University of Illinois at Chicago, Chicago, IL, USA.
Patients with severe traumatic brain injury or large intracranial space-occupying lesions (spontaneous cerebral hemorrhage, infarction, or tumor) commonly present to the neurocritical care unit with an altered mental status. Many experience progressive stupor and coma from mass effects and transtentorial brain herniation compromising the ascending arousal (reticular activating) system. Yet, little progress has been made in the practicality of bedside, noninvasive, real-time, automated, neurophysiological brainstem, or cerebral hemispheric monitoring.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!