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To explore the perceptions of patients with prostate cancer undergoing androgen deprivation therapy towards mobile health interventions.
The study employed a qualitative descriptive design.
Seventeen participants were recruited from tertiary care hospitals from November 2022 to June 2023. The collected data were subsequently analysed using a content analysis approach.
The main themes were facilitators, barriers, information needs, emotional and social needs, and self-management needs. Facilitators for using mobile health included support from healthcare professionals and family, competitive design features and user-friendly interfaces. Barriers included negative past experiences with technology and a satisfactory current state of health. Informational support included those patients who expressed a desire for timely, accurate information integrated with traditional Chinese medical principles. Regarding emotional support, patients emphasised their independence, preferring not to burden family and friends, showing disinterest in mindfulness and relaxation therapies, and generally disliking online interactions with fellow patients. For self-management, medication reminders and rehabilitation guidance were seen as vital tools to enhance supportive care.
The study highlights the importance of customising mobile healthcare applications to meet unique needs among patients with prostate cancer and enhance their engagement and satisfaction. Understanding their specific preferences enables the development of more effective mobile healthcare applications.
The COREQ checklist.
To investigate the risk factors associated with occipital pressure injury in patients with craniocerebral injury and to develop a risk prediction model for assessing the risk of occipital pressure injury in patients in this population.
We conducted a prospective cohort study with descriptive analysis. A cohort of 455 patients diagnosed with craniocerebral injury and treated in our neurosurgery department and NSICU of our hospital, who met the criteria, were selected for this study. We collected the clinical data in the neurosurgery ward and Neurosurgical Intensive Care Unit (NSICU) from October 2022 to September 2024. Using R randomisation, we established: Test group (n = 324), validation group (n = 131). Then we performed both univariate and multivariate regression analysis to identify the independent risk factors of occipital pressure injury and developed a predictive model based on these findings. H-L test (Hosmer-Lemeshow test) was used to evaluate the accuracy and specificity of the model.
Among the 455 patients with craniocerebral injury, 324 were randomly selected into the test group, within which 42 developed occipital pressure injuries, representing a 12.96% incidence rate. Univariate analysis showed that there were significant differences (p < 0.05) between terms of gender, Braden scale score, Glasgow score, APACHE II score, NRS2002, Barthel scale, presence of edema, use of vasoactive drugs, use of mechanical ventilator, ICU stay length, MDRO infection, hair friction, use of head circular dressing, surgical interventions, drainage tube placement, surgery duration, volume of red blood cell infusion and length of using mechanical ventilation. Multivariate logistic regression analysis showed that gender, APACHE II score, length of using mechanical ventilation, and use of head circular dressing were independent risk factors for the development of occipital pressure injuries. A nomogram predictive model was formulated based on these factors and demonstrated excellent discriminative ability (AUC = 0.888).
The occipital pressure injury risk predictive model for patients with craniocerebral injury performed strong predictive capacity in this study. It provides theoretical guidance for early formulation of predictive intervention strategies. We prepared this article in accordance with the STROBE checklist.
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