Vulnerable populations may be more vulnerable to mental health problems posed by the coronavirus disease 2019 (COVID-19) pandemic. A systematic review was performed to compare the mental health impact of COVID-19 between vulnerable and non-vulnerable groups. Five electronic databases were searched for observational studies reporting the psychological outcomes of both vulnerable populations and healthy controls during the COVID-19 era. The primary outcomes are the severity of depression and anxiety, and secondary outcomes include other aspects of mental health such as stress or sleep disturbance. Meta-analysis was performed for the severity of mental health symptoms, and the results were presented as standardized mean difference and 95% confidence intervals. A total of 25 studies were included. According to the findings, the elderly generally experienced significantly lower levels of psychological symptoms including depression, anxiety, and perceived stress. Pregnant women, patients with chronic diseases, and patients with pre-existing severe mental disorders showed mixed results according to each mental health outcome. The results indicate that vulnerable groups have been affected differently in the COVID-19 era. Though the insufficient number and heterogeneity of included studies leave the results inconclusive, our findings may contribute to identifying priorities of mental health needs among various vulnerable populations and allocating health resources with efficiency.

Objective The current study examined the differential empathic capacity, post-traumatic symptoms, and coping strategies in healthcare workers (HCWs) according to the exposure of verbal or physical workplace violence (WPV).Methods Using online survey, a total of 422 HCWs employed at a training general hospital of South Korea participated and completed self-reporting questionnaires including the WPV questionnaire with coping strategy, the Jefferson Scale of Physician Empathy.Results Those who experienced either only verbal violence or both physical and verbal violence had lower Jefferson Scale of Physician Empathy scores (p<0.05). Posttraumatic stress symptom severity was higher among people who experienced verbal violence than physical violence. HCWs’ exposure to verbal violence was associated with severe posttraumatic symptoms and a low level of empathy with patients (p<0.05). More than half of the victims of verbal violence responded that they did not take any action, receive organizational protection, or peer support, while most physically-abused HCWs received institutional intervention or help from others.Conclusion Our findings highlight the critical importance of reducing verbal violence, which may represent a larger psychological burden compared to physical violence, by actively implementing effective strategies and policies at the institutional level.

Objective This cross-sectional study aimed to 1) explore the relationships among work-life balance (WLB), burnout, and empathy and 2) investigate the roles of the subtypes of burnout relating to WLB and empathy.Methods A total of 105 health care professionals from a general hospital in Seoul were assessed using the Maslach Burnout Inventory, Jefferson Scale of Physician Empathy, and a one-sentence-question on subjective WLB. Multiple questions on psychiatric problems, including sleep problems, anxiety, depressive symptom, and alcohol problems, were also included.Results In the mediation analyses, personal achievement was considered as a potential mediating variable between WLB and empathy. The direct effect (β=3.93, 95% CI: 1.21–6.64) and the indirect effect (β=1.95, 95% CI: 0.52–3.76) of WLB on empathy were also significant.Conclusion Interventions encouraging personal achievement may help mitigate burnout of health professionals.

Background: Infertility is a global reproductive health concern that imposes intense psychological and social burdens, particularly in cultural contexts where childbearing is integral to the construction of womanhood. Objective: This qualitative meta-synthesis aimed to gain an in-depth understanding how women experiencing infertility across diverse settings experience stigma, and how they navigate its psychological and relational consequences. Methods: A systematic search was conducted using six electronic databases (PubMed, CINAHL Plus with Full Text, JSTOR, ProQuest Central, Web of Science, and Ovid MEDLINE), supplemented by manual searches. Data quality was evaluated using the Critical Appraisal Skills Program (CASP) checklist. Fourteen peer-reviewed qualitative studies published between 2014 and 2025 were systematically synthesized through a qualitative meta-synthesis to derive integrated themes. Results: Three overarching themes were identified: (1) Sources of stigmatization in the context of infertility, (2) Psycho-social consequences of infertility-related stigma, and (3) Coping strategies among women experiencing infertility-related stigma. Women experiencing infertility reported deep feelings of worthlessness, self-blame, and isolation, shaped by internalized stigma and societal expectations surrounding motherhood. These experiences often led to strained relationships, social withdrawal, and emotional distress. Nevertheless, many women demonstrated resilience through coping strategies such as acceptance, religious reframing, and caregiving roles. These strategies helped them reclaim their sense of identity and overcome the psychosocial impacts of infertility-related stigma. Conclusion: Infertility stigma is not solely a personal burden but a culturally mediated social phenomenon. Effective interventions should be gender-sensitive and tailored to the sociocultural realities of women’s lives. Mental health support and psychosocial services must consider these dynamics to adequately support women navigating infertility in resource-limited or culturally conservative settings.

Purpose: This study aimed to investigate the serial mediating effects of the time mothers spend with their adolescent children and the adolescents’ self-esteem on the relationship between mothers’ and adolescents’ problematic smartphone use. Patients and Methods: This study was a secondary analysis of data extracted from the Korean Children and Youth Panel Survey (KCYPS) in 2018, which comprised data on first-year middle school students. Mediation analysis was conducted using Model 6 of the Hayes’ PROCESS macro for SPSS. Results: The mediating effect of the time mothers spent with adolescents on the relationship between mothers’ and adolescents’ problematic smartphone use was significant, but the mediating effect of adolescents’ self-esteem was not significant. Mothers’ problematic smartphone use was found to significantly affect adolescents’ problematic smartphone use by sequentially mediating the time mothers spent with adolescent children and adolescents’ self-esteem. Conclusion: It was concluded that, to lower adolescents’ problematic smartphone use due to mothers’ problematic smartphone use, appropriate interventions should be formulated to help adolescents develop higher self-esteem through sufficient mother–child interaction time.

Purpose: This scoping review aimed to evaluate current evidence regarding the application of artificial intelligence (AI)-based triage systems in emergency departments (EDs), with a focus on their contributions to workload reduction, patient safety, and decision-making accuracy from a nursing perspective. Methods: A scoping review was conducted in accordance with PRISMA-ScR guidelines. Six electronic databases (PubMed, CINAHL Plus with Full Text, JSTOR, IEEE Xplore, ProQuest, and Web of Science) were searched for articles published between January 2014 and December 2024. Studies were included if they applied AI techniques to ED triage and reported outcomes related to workload, safety, or triage performance. Data were extracted and thematically analyzed to identify key contributions of AI-based triage systems. Eight studies met the inclusion criteria. Results: Three major themes were identified: (1) improvement in decision-making accuracy through AI-assisted triage models, (2) reduction in clinician workload, and (3) enhanced identification of critically ill patients contributing to patient safety. Some models achieved high predictive performance, with Area Under the Receiver Operating Characteristic Curve scores reaching up to 0.96. However, heterogeneity in study designs and limited nurse involvement restricted the generalizability and clinical applicability of these studies. Conclusion: This review synthesizes existing literature on AI-supported triage systems in emergency care and provides foundational insights into their potential to support nursing decision-making. Future research should focus on nurse-centered system design, usability testing in real-world settings, and evaluation of clinical outcomes to ensure effective and ethical integration into nursing practice.