To determine the correlation between preoperative health education and the emotions of lung cancer patients, artificial intelligence software was used.
This was a cross-sectional study.
This study included 210 lung cancer patients from Sun Yat-sen University Cancer Center and examined the impact of health education on patient emotions using an AI-based emotion analysis tool.
This study indicated a significant relationship between the tone and emotional content of health education materials and patient emotions. Specifically, educational materials with an explanatory tone and negative sentiment appeared to impact patients' emotional states.
Quality improvements in health education can potentially benefit lung cancer patients' emotional well-being by minimizing the use of both explanatory tone and negative sentiment in educational content.
This research suggests that the careful crafting of health education materials, taking into consideration tone and emotional expressions, can have a tangible positive effect on the emotional state of lung cancer patients.
The study was reported in accordance with the STROBE guidelines.
No patients, service users, caregivers, or members of the public were involved in the design, conduct, collection, analysis, or interpretation of the data for this study, nor were they involved in writing the manuscript.
Nurses' job satisfaction in hospitals is fundamental for the quality of care and the safety of patients. However, sociodemographic trends require moving care to patients' homes, and the predictors of job satisfaction for nurses working in the home care settings remain largely unknown. Therefore, the aim of this study was to investigate job satisfaction of nurses working in Italian home care settings and its determinants.
Multicenter observational cross-sectional study.
This study was conducted in the districts of 70 local health authorities in Italy. Data on the characteristics of the organization and nurses were collected. Nursing job satisfaction was evaluated on a four-point scale ranging from “very satisfied” to “very dissatisfied.” Additionally, the following variables were assessed: workload, quality of leadership, work–private life conflict, burnout symptoms, possibility for development, staffing and resource adequacy, nurse manager ability, safety climate, and teamwork climate. A logistic regression analysis was conducted to identify factors influencing job satisfaction.
Only organizational variables had a predictive value for nurses' job satisfaction. Workload (OR = 1.01; p = 0.033), work–private life conflict (OR = 1.02; p < 0.001), burnout (OR = 1.02; p < 0.001), and staffing inadequacy (OR = 1.44; p = 0.003) predicted higher levels of nurse dissatisfaction. Instead, high-quality leadership (OR = 0.981; p < 0.001), possibility for development (OR = 0.973; p < 0.001), and good teamwork climate (OR = 0.994; p = 0.003) were predictors of better levels of satisfaction.
This study suggested that home care nurses are generally satisfied with their jobs. To enhance job satisfaction, it is essential to improve nurses' work environment, the leadership quality and ensure professional development.
Our results are globally relevant as they contribute to the limited evidence available on this topic in home care settings. This study emphasizes the need of measuring nurses' job satisfaction and implementing interventions to promote healthy work environments.
Ensuring an appropriate length of stay (LOS) is a primary goal for hospitals, as prolonged LOS poses clinical risks and organizational challenges. Children and adolescents are particularly susceptible to prolonged LOS due to frequent hospitalizations and unique vulnerabilities, including developmental disabilities that may necessitate additional care and monitoring. This study aims to describe the LOS of children and adolescent patients and identify the sociodemographic, organizational, clinical, and nursing care factors contributing to prolonged LOS in this population.
Observational, retrospective, monocentric study.
A sequential sampling approach was used to select the clinical records of 1538 children and adolescent patients admitted to an Italian university hospital in 2022. The study included all children and adolescents aged 3–18 who were hospitalized for a minimum of 2 days. Patients from outpatient units and those with LOS shorter than 2 days were excluded. The Neonatal Pediatric Professional Assessment Instrument (PAIped) and the Hospital Discharge Register were used to collect sociodemographic, organizational, clinical, and nursing care patient data, including nursing diagnoses (NDs) and nursing actions (NAs). A forward stepwise regression approach was used to identify predictors of LOS among the selected variables. A mediation analysis was conducted to explore the role of nursing predictors, identified in the stepwise regression, as mediators between the number of medical diagnoses and LOS.
Positive correlations between the number of medical diagnoses, NDs, NAs, and LOS were discovered (rs = 0.262, p = < 0.001; rs = 0.114, p = < 0.001; rs = 0.384, p = < 0.001, respectively). Longer hospital stays were associated with an increased number of medical diagnoses, NDs, and NAs. The number of NAs emerged as an independent predictor of LOS (β = 0.516; p < 0.001). Other significant determinants of LOS included a higher number of NAs and medical diagnoses, the presence of a medical DRG category, increased DRG weight, emergency admissions, residency in rural areas, and older age (F = 122.222, p < 0.001, R2 = 0.361, adjusted R2 = 0.358). The mediation analysis showed that the number of medical diagnoses positively predicted the number of NAs (β = 2.774, p < 0.001), which, in turn,
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