Identifying and Evaluating Predictors of Well‐Being Among Nurses Working in Saudi Arabia: A Cross‐Sectional Study
Ahmed Nahari, Monir Almotairy, Essa Hakamy, Nasreen Abdulmanna, Ghada Kurban, Turki Albraikan, Abdulmajeed Alanazi · 2025
Read Identifying and Evaluating Predictors of Well‐Being Among Nurses Working in Saudi Arabia: A Cross‐Sectional Study by Ahmed Nahari, Monir Almotairy, Essa Hakamy, Nasreen Abdulmanna, Ghada Kurban, Turki Albraikan, Abdulmajeed Alanazi (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-12748531.txt.
Description
Ahmed Nahari and co-authors survey nurse well-being in 2025 across Saudi Arabia. Nurses face heavy loads and stress at the bedside, yet little was known about how nurses in this country feel and what shapes their state. The team set out to measure well-being and find its key drivers.
They gathered answers from five hundred fifty nurses in many settings. Close to three in four nurses scored at risk of poor well-being, and frontline nurses fared worst. School level, work site, region, and job satisfaction all linked to the scores. Long experience slightly lowered risk, while critical care work raised it sharply. The authors urge steps to guard nurse health and cut burnout.
Catalog record
| CREATOR | Ahmed Nahari, Monir Almotairy, Essa Hakamy, Nasreen Abdulmanna, Ghada Kurban, Turki Albraikan, Abdulmajeed Alanazi |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 39 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |