Background: Workplace mobbing is a widespread phenomenon with serious psychological and emotional consequences on employees’ emotional well-being. Psychological resilience has been identified as a potential protective factor against such adverse outcomes. Aim: This study investigates the relationship between workplace mobbing and emotional well-being, as expressed through positive and negative affect, and examines the mediating role of psychological resilience in this association. Methods: Ninety nurses participated in this cross-sectional study. Data were collected using the Connor–Davidson Resilience Scale (CD-RISC), the Workplace Psychologically Violent Behaviors (WPVB) scale, and the Positive and Negative Affect Schedule (PANAS). Statistical analyses included correlation, multiple regression, and mediation using bootstrapped confidence intervals. Results: Resilience was strongly associated with positive affect (r = 0.74, p < 0.001) and inversely with negative affect (r = −0.46, p < 0.001). Mobbing was significantly related to increased negative affect (β = 0.12, p < 0.001) but not to positive affect. Resilience emerged as the strongest predictor of emotional outcomes and partially mediated the relationship between “Attack on professional role” and negative affect. Conclusions: Psychological resilience plays a key protective role in moderating the emotional impact of workplace mobbing. Enhancing resilience in healthcare professionals may mitigate the negative emotional effects of mobbing, although it does not fully buffer against all its consequences.

Background: Moral harassment (mobbing) in healthcare, particularly among nurses, remains a persistent issue with detrimental effects on mental health, resilience, and quality of life. Aim: We examine the relationship between the resilience of nurses working in Emergency Departments (EDs) and how these factors influence experiences of workplace mobbing. Methods: This cross-sectional study included 90 nurses from four public hospitals in Greece’s 5th Health District. Data were collected between October 2023 and March 2024 using the WHOQOL-BREF, Workplace Psychologically Violent Behaviors (WPVB) scale and the Connor–Davidson Resilience Scale (CD-RISC). The sample consisted primarily of full-time nurses (84.3% female; mean age = 43.1 years), with 21.1% reporting chronic conditions. Most participants were married (80.0%) and had children (74.4%), typically two (56.1%). Statistical analyses—conducted using SPSS version 27.0—included descriptive statistics, Pearson and Spearman correlations, multiple linear regression, and mediation analysis, with significance set at p < 0.05. Results: Resilience was moderate (mean = 66.38%; Cronbach’s α = 0.93) and positively correlated with all WHOQOL-BREF domains—physical, psychological, social, and environmental (r = 0.30–0.40)—but not with the overall WHOQOL-BREF. The mean overall WHOQOL-BREF score was 68.4%, with the lowest scores observed in the environmental domain (mean = 53.76%). Workplace mobbing levels were low to moderate (mean WPVB score = 17.87), with subscale reliabilities ranging from α = 0.78 to 0.95. Mobbing was negatively associated with social relationships and the environmental WHOQOL-BREF (ρ = –0.23 to –0.33). Regression analysis showed that cohabitation and higher resilience significantly predicted better WHOQOL-BREF outcomes, whereas mobbing was not a significant predictor. Mediation analysis (bootstrap N = 5000) indicated no significant indirect effect of resilience in the relationship between mobbing and WHOQOL-BREF. Conclusions: Resilience was identified as a key protective factor for nurses’ quality of life in emergency care settings. Although workplace mobbing was present at low-to-moderate levels, it was negatively associated with specific WHOQOL-BREF domains. Enhancing mental resilience among nurses may serve as a valuable strategy to mitigate the psychological effects of moral harassment in healthcare environments.

Background/Objectives: Quiet quitting (QQ) has become a prominent concept in healthcare workforce discourse, yet its meaning, measurement, and relevance to care delivery remain unclear. This theory-informed scoping review mapped recent evidence on QQ and related disengagement-related constructs among nurses, focusing on conceptualization, measurement, and associations with nursing performance, patient safety, quality of care, and missed nursing care. Methods: The review was guided by the Population–Concept–Context (PCC) framework and reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR). Web of Science, Scopus, PubMed, the Cochrane Library, and CINAHL were searched on 19 March 2026 for empirical, peer-reviewed, English-language studies involving nurses and published from 2022 onward. Eligible studies examined QQ or adjacent disengagement-related constructs in relation to nursing performance or care-delivery outcomes. Data were charted narratively and appraised using the Mixed Methods Appraisal Tool (MMAT). Results: Seven studies met the inclusion criteria; two examined QQ directly. Direct evidence conceptualized QQ as reduced discretionary effort within formal role boundaries and situated it within adverse workplace conditions. Adjacent evidence addressed low work engagement, reduced vigor, low-effort and engagement–burnout profiles, which in some studies were associated with poorer perceived quality of care, lower safety behavior, poorer performance, or more missed care. No included study directly examined QQ in relation to missed nursing care. Conclusions: QQ in nursing should be reframed from a workforce label into a care-delivery question. Establishing its clinical relevance will require direct testing of whether QQ is associated with missed nursing care, a link that has not yet been examined directly.

Background/Objectives: The mHealth App Usability Questionnaire (MAUQ) is a validated instrument specifically designed to evaluate the usability of mobile health applications. The aim of this cross-sectional study, was to translate, culturally adapt, and validate the Greek version of the MAUQ. Methods: The 21-item mHealth App Usability Questionnaire (patient, interactive version) was forward- and back-translated from English into Greek, following scientific guidelines for translation and cross-cultural adaptation. Exploratory factor analysis was carried out to evaluate construct validity, disclose underlying structures and reduce the number of variables in MAUQ. Principal component analysis (PCA) was chosen as extraction method using Varimax rotation. Results: The study sample included 385 participants, of whom 66.0% were women, with a mean age of 42.2 years (SD = 14.0). The factor analysis yielded three components that together accounted for 67.8% of the total variance. The “system information arrangement” factor comprised six items and explained 24.9% of the variance. The “usefulness” factor contained seven items and contributed 23.7%, while the “ease of use and satisfaction” factor included eight items and accounted for 19.2%. All items showed satisfactory corrected item–total correlations, exceeding 0.30. Cronbach’s alpha values were 0.92 for “ease of use and satisfaction,” 0.89 for “system information arrangement,” and 0.92 for “usefulness,” demonstrating strong reliability for each subscale. Overall, total’s scale reliability was a = 0.93. Conclusions: The Greek version of the mHealth App Usability Questionnaire (GR-MAUQ), demonstrated strong psychometric properties and confirm its suitability for assessing the usability of mHealth applications among Greek-speaking users.