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Advanced cancer not only affects the physical, psychological, and social functions of patients, but it also impacts their adolescent children. There is a dearth of information regarding the understanding of family functioning and specific needs of patients with advanced cancer and their adolescent children.
This qualitative study aimed to explore the experience and needs regarding family functioning of patients with advanced cancer and their adolescent children, as well as understanding potential approaches for maintaining positive family functioning.
A descriptive qualitative study was employed.
This study was conducted at three tertiary hospitals in Changsha, China, from January to September 2023. Purposive sampling was adopted to recruit participants. 17 stage III and IV patients with cancer and 11 adolescent children were interviewed.
Face-to-face individual interviews were conducted among patients with advanced cancer and their adolescent children. The data analysis employed Braun and Clarke's thematic analysis method. The McMaster family functional model theoretical framework was utilised to facilitate the identification and organisation of topics, ensuring a comprehensive analysis of the data.
Six themes were identified: communication challenges; impaired family role functioning; positive/negative feelings; over-involvement; change of behaviour control pattern; Needs for medical and psychological support. Both patients with advanced cancer and their adolescent children expressed collective views and needs regarding family functioning.
The findings of this study reveal an understanding of family functioning and needs among patients with advanced cancer and their adolescent children. The identified themes provide valuable insights for designing and implementing targeted intervention strategies.
Nursing interventions should focus on helping patients with advanced cancer and their adolescent children improve family functioning and communication skills. The findings indicate that communication challenges are a significant aspect of impaired family functioning, necessitating targeted interventions to enhance communication. Healthcare providers should be trained to recognise the diverse communication needs of families, which include providing resources for age-appropriate communication, counselling, and guidance on maintaining family routines. Enhancing the communication skills of patients and their children is crucial for addressing problem-solving needs and mitigating negative feelings, thereby fostering a more supportive family environment.
To develop a predictive model for high-burnout of nurses.
A cross-sectional study.
This study was conducted using an online survey. Data were collected by the Chinese Maslach Burnout Inventory-General Survey (CMBI-GS) and self-administered questionnaires that included demographic, behavioural, health-related, and occupational variables. Participants were randomly divided into a development set and a validation set. In the development set, multivariate logistic regression analysis was conducted to identify factors associated with high-burnout risk, and a nomogram was constructed based on significant contributing factors. The discrimination, calibration, and clinical practicability of the nomogram were evaluated in both the development and validation sets using receiver operating characteristic (ROC) curve analysis, Hosmer–Lemeshow test, and decision curve analysis, respectively. Data analysis was performed using Stata 16.0 software.
A total of 2750 nurses from 23 provinces of mainland China responded, with 1925 participants (70%) in a development set and 825 participants (30%) in a validation set. Workplace violence, shift work, working time per week, depression, stress, self-reported health, and drinking were significant contributors to high-burnout risk and a nomogram was developed using these factors. The ROC curve analysis demonstrated that the area under the curve of the model was 0.808 in the development set and 0.790 in the validation set. The nomogram demonstrated a high net benefit in the clinical decision curve in both sets.
This study has developed and validated a predictive nomogram for identifying high-burnout in nurses.
The nomogram conducted by our study will assist nursing managers in identifying at-high-risk nurses and understanding related factors, helping them implement interventions early and purposefully.
The study adhered to the relevant EQUATOR reporting guidelines: TRIPOD Checklist for Prediction Model Development and Validation.
No patient or public contribution.
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