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We aimed to elucidate the underlying mechanisms influencing Oral nutritional supplementation (ONS) adherence in postoperative patients with gastric cancer (GC) by developing a structural equation model.
ONS represents a cost-effective nutritional intervention for postoperative patients with GC, with its efficacy largely dependent on sustained patient adherence over time. However, the interrelationships among the quality of discharge teaching (QDT), readiness for hospital discharge (RHD), medication beliefs and adherence to ONS remain inadequately understood.
A convenience sample of 505 postoperative patients with GC was recruited from January 1, 2023, to December 1, 2024, for a cross-sectional survey conducted at a tertiary-grade A specialised oncology hospital. The data of this study were subjected to descriptive analysis, Harman's one-way analysis of variance, Pearson correlation analysis and mediation effect analysis.
The STROBE checklist was employed for reporting in the study.
Pearson correlation analyses revealed that all four variables were significantly interrelated. Structural equation modelling showed that medication beliefs had the strongest correlation with ONS adherence (β = 0.589), followed by readiness for hospital discharge (RHD) (β = 0.557) and quality of discharge teaching (QDT) (β = 0.523). The structural equation model demonstrated a robust overall fit.
There was a significant chain mediation effect through RHD and medication beliefs. For the development of targeted intervention strategies to improve ONS adherence, future research should prioritise enhancing QDT, optimising RHD and strengthening patients' medication beliefs.
To help nurses and nursing managers formulate intervention measures to improve QDT, RHD, medication beliefs and ONS adherence in postoperative patients with GC.
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.
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