Personalized Online Ideological and Political Education Services Based on Deep Learning DOI

Xu Mao,

Meng Wang

Опубликована: Янв. 10, 2025

Язык: Английский

Emotional labor and coping strategies of gynecological nurses in recurrent pregnancy loss care: a qualitative phenomenological study DOI Creative Commons
Fang Yang, Dandan Liu,

Gilbert Fan

и другие.

BMC Nursing, Год журнала: 2025, Номер 24(1)

Опубликована: Март 1, 2025

Recurrent pregnancy loss (RPL) is marked by multiple losses, placing intense emotional and clinical demands on gynecological nurses who often serve as both medical support for affected patients. While prior research labor in healthcare underscores the toll of caring bereaved individuals, few studies have examined unique, cyclical nature grief inherent RPL care. A qualitative, phenomenological design was employed to explore experiences 12 working early units. Semi-structured interviews investigated nurses' perceptions labor, coping strategies they utilized, influence organizational factors their well-being. Thematic analysis guided Braun Clarke's framework illuminated emerging patterns, with member checking peer debriefing ensuring analytical rigor. Four key themes emerged. First, The Emotional Burden Loss highlighted cumulative sense "compounding sorrow" supported patients through losses. Second, Balancing Empathy Professional Boundaries underscored tension between offering genuine compassion guarding personal reserves. Third, Coping Strategies Resilience-Building revealed a multilayered approach comprising reflective practices, debriefing, self-care. Finally, Organizational Support Gaps emphasized how institutional resources, staffing levels, specialized training significantly shaped capacity sustain empathetic Nurses experience heightened due repetitive, distressing encounters loss. individual peer-based mechanisms foster resilience, support-such formal sessions RPL-focused training-amplifies well-being ensures sustainable, high-quality These findings underscore need targeted interventions that address systemic dimensions settings.

Язык: Английский

Процитировано

0

Personalized Online Ideological and Political Education Services Based on Deep Learning DOI

Xu Mao,

Meng Wang

Опубликована: Янв. 10, 2025

Язык: Английский

Процитировано

0