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A Single-Site Approach: Identifying the Micro-Level Influences on Nurse Retention.

J Nurs Adm

February 2025

Author Affiliations: Nurse Scientist (Dr Smith-Miller), Center for Nursing Excellence, UNC Medical Center; Chair - IRB Committee E (Dr Smith-Miller), UNC-CH Office of Human Research Ethics University of North Carolina, Chapel Hill; Adjunct Faculty (Dr Smith-Miller), UNC School of Nursing; and Oncology Nurse Navigator (Cline), Mary Anne Long Patient Family Resource Center, UNC Cancer Hospital, Chapel Hill, North Carolina.

Background: Persistently high turnover rates reflect nurses' discontent. Although personal reasons, career advancement, and relocation are cited as the top reasons for departures, macro-level data overlook the organizational and unit-level factors that erode nurses' desire to stay.

Methods: Survey methods were used for data collection.

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Introduction: This study investigated potential health status differences among forging, manufacturing, and logistics workers.

Methods: We included 403 participants (age: 41 ± 12 years) from a medium-sized steel company (forge: 64, manufacturing: 299, logistics: 99). Health status was multifactorial assessed: (1) Frequency of musculoskeletal complaints (German Pain Questionnaire).

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Objective: Workplace violence (WPV) poses a serious occupational risk. This study aims to explore the association between WPV from patients and the occurrence of insomnia, depression, and anxiety among healthcare workers.

Methods: Information about the WPV from patients was collected by a self-designed questionnaire.

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Background: Globally, nearly one-third of workplace violence (WPV) occurs in the health sector. Exposure to WPV among Jordanian nurses has been widely speculated to be underreported. Understanding of the factors contributing to WPV among nurses and their consequences is limited.

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Background: During the COVID-19 pandemic, atypical respiratory syncytial virus (RSV) circulation patterns emerged, with the occurrence of RSV activity outside the typical winter season. This study investigates the impact of COVID-19 and associated non-pharmaceutical interventions (NPIs) on RSV seasonality.

Methods: The onset, offset and peak of RSV epidemics from 2018 to 2022 across 12 European countries were determined using the 3% positivity threshold method.

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