Objectives To investigate the relationships among caregiver burden, family resilience, and caregiver capacity in the care of stroke survivors. We hypothesised that family resilience would mediate the relationship between caregiver burden and caregiver capacity. Design A cross-sectional study design was used. Setting The study was conducted in a tertiary care setting in Ningbo City, Zhejiang Province, China. Participants The study involved 413 stroke survivors and their primary caregivers. Outcome measures The primary caregivers completed the Shortened Chinese Version of the Family Resilience Assessment Scale, Zarit Caregiver Burden Interview and Family Caregiver Task Inventor and provided their sociodemographic information. Stroke survivors were assessed for activities of daily living, and their sociodemographic information was provided. Data were analysed, controlling for sociodemographic variables and focusing on the mediating effect of family resilience. Results Caregiver burden was influenced by the activities of daily living of stroke survivors, caregiver age and caregiver health status (p<0.05). Higher caregiver burden was associated with lower family resilience (p<0.01). Lower caregiver capacity corresponded to heavier caregiver burden (p<0.01). Family resilience mediated the relationship between caregiver burden and caregiver capacity (b=0.1568; 95% CI: 0.1063 to 0.2385). Conclusions Enhancing family resilience can reduce caregiver burden and improve caregiver capacity in stroke care. These findings underscore the importance of developing interventions focused on nursing skills and family resilience.

Aim: This study aimed to measure pandemic fatigue, physical and mental health, and job status of front‐line medical staff in Ningbo. And to identify factors associated with pandemic fatigue. Background: There was an acute increase in fatigue symptoms at the COVID‐19 pandemic onset. The front‐line medical staff is particularly vulnerable to fatigue due to their high‐intensity work. Design: This was a descriptive, cross‐sectional study conducted using an online survey that included demographic data, investigation of COVID‐19 history and job status. The Fatigue Assessment Scale, GAD‐7 score and Sleep Quality Scale were used to collect data from 479 front‐line medical staff. Methods: The study involved 479 front‐line medical staff in Ningbo, China. The survey was conducted using an online questionnaire that included demographic data, investigation of COVID‐19 history and job status. The Fatigue Assessment Scale, GAD‐7 score and Sleep Quality Scale were used to collect data. Results: The results showed that of the 479 participants, 393 (82%) reported pandemic fatigue, 393 (82%) reported job satisfaction and 433 (90.4%) identified with their sense of job value. Sleep quality, work with a fever, economic subsidies for fighting COVID‐19 and recognizing professional value were significantly correlated with pandemic fatigue. Conclusions: As the COVID‐19 pandemic challenges front‐line medical workers, implementing measures is essential. Health policy implementers could provide sufficient front‐line medical staff to ensure rest in case of infection, promote sleep quality and foster professional value and financial subsidies in units. Relevance to clinical practice: The study shows how pandemic fatigue affects front‐line medical staff during the COVID‐19 pandemic and suggests measures to support them, including promoting sleep quality, providing rest for infected staff, fostering professional value and financial subsidies. The recommendations are relevant to clinical practice as they help support medical staff and ensure high‐quality care for patients during the pandemic. Patient or Public Contribution: No Patient or Public Contribution. Not applicable.

Objective This study assessed the association between sleep duration, perceived organisational support (POS), personal resilience and anxiety among non-hospitalised residents during the COVID-19 pandemic in Ningbo, China. Methods In this cross-sectional study, an online survey was conducted from 27 January 2023 to 5 February 2023, involving non-hospitalised residents over 14 years old in Ningbo. We received 1938 valid responses. The study used the General Demographic Characteristics Scale, the Generalised Anxiety Disorder Scale, Brief Resilient Coping Scale and the POS questionnaire. Results Among the 1938 valid questionnaires, 1068 (55.1%) participants reported anxiety. Multivariate logistic regression analysis revealed that high organisational support (β=–0.34, adjusted OR (aOR) 0.71, 95% CI 0.51 to 0.98, p=0.038), moderate resilience (β=–0.26, aOR 0.77, 95% CI 0.63 to 0.95, p=0.013), high resilience (β=–0.67, aOR 0.51, 95% CI 0.36 to 0.73, p<0.001) and sleep duration of ≥7 hours (β=–1.00, aOR 0.37, 95% CI 0.28 to 0.49, p<0.001) were significantly associated with anxiety. Participant characteristics were not associated with anxiety. Conclusions During the COVID-19 pandemic, organisational support, personal resilience and adequate sleep duration were associated with anxiety among non-hospitalised residents. These findings highlight the importance of increasing organisational support, implementing interventions that promote resilience and stress management, ensuring sufficient rest and sleep duration, and helping residents better manage anxiety.

During the COVID-19 pandemic, hospitals implemented visitor restrictions to curtail the spread of the virus. The study aims to understand the perspectives of hospitalized patients and their family visitors on visitation restrictions and the factors influencing their willingness to adhere to these restrictions. This cross-sectional survey invited 1,200 participants, with 1,032 valid responses received, including 460 hospitalized patients and 572 family visitors. The survey indicated that 88.91% of hospitalized patients and 93.00% of family visitors complied and adhered to the visitor restrictions. The predominant mode of communication was via phone (77.62%), with emotional support (56.40%) recognized as the primary purpose of visitation. Visitor restrictions significantly affected hospitalized patients, with 51.65% reporting feelings of loneliness and 42.44% reporting anxiety. After adjusting for age, gender, and other factors, hospitalized patients‘ willingness to follow visitation restrictions was linked to their awareness of the restrictions (odds ratio [OR] = 0.20, 95% confidence interval [CI]: 0.09–0.44) and their desire to protect (OR = 0.32, 95% CI: 0.14–0.76). Family members’ willingness to follow the restrictions was related to their awareness of them (OR = 0.34, 95% CI: 0.12–0.95) and how well they communicated (OR = 0.23, 95% CI: 0.09–0.58). Participants generally followed visitation restrictions, but these measures negatively impacted the psychological and social well-being of patients and their families, leading to increased feelings of loneliness and anxiety. Healthcare providers, hospital administrators, and policymakers should acknowledge the complex effects of these restrictions and focus on improving patient experiences in the future.

Background: While family resilience is a recognized determinant of adaptation following stroke, the distinct, empirically derived profiles of family resilience among Chinese stroke survivor-caregiver dyads have not been clearly delineated. Identifying these profiles and their determinants is crucial for developing targeted interventions. Objective: To identify latent profiles of family resilience and examine the socio-demographic and clinical factors associated with profile membership among stroke patient-caregiver dyads in China. Methods: In this cross-sectional study, a convenience sample of 773 stroke survivor-caregiver dyads was recruited from three hospitals in Zhejiang Province, China. Latent profile analysis (LPA) was conducted on the 20-item Family Resilience Questionnaire (FRQ). Multinomial logistic regression was used to determine factors associated with profile membership. Results: LPA supported a four-profile solution: Profile 1 “Low-Functioning Families” (22%), Profile 2 “Moderately Resilient - Low Cohesive Families” (24%), Profile 3 “Highly Resilient - Well-Functioning Families” (31%), and Profile 4 “High-Functioning - Optimistically Resilient Families” (24%). Multinomial logistic regression revealed that lower caregiver competence (higher FCTI scores) was strongly associated with profile membership (standardized aORs ranged from 2.58 to 43.19), whereas higher perceived social support (PSSS) was a significant protective factor (standardized aORs ranged from 0.03 to 0.19). Caregiver relationship and payment source were also significantly associated with profile membership. Conclusion: Family resilience among Chinese stroke families manifests in four distinct profiles, which are differentiated predominantly by caregiver competence and perceived social support. Our findings advocate for a precision family support paradigm, shifting from one-size-fits-all approaches to interventions tailored to distinct resilience profiles. Given the strong association, intervention programs should prioritize enhancing core caregiver competencies as a primary leverage point for building family resilience.