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To systematically review published studies on the post stroke delirium risk prediction models; and to provide the evidence for developing and updating the clinically available prediction models.
Systematic review.
Systematically searched studies on 10 databases, which were conducted from inception to 9 January 2025. The studies of post-stroke delirium risk prediction models were included.
Extracted the data from the selected studies. The Prediction Model Risk of Bias Assessment Tool checklist was used to evaluate the risk of bias of the models. The meta-analysis of model performance and common predictors was performed by Revman 5.4 and Medcalc.
A total of 12 studies were included, and 21 risk prediction models for post-stroke delirium were constructed. The combined effect size of area under the receiver operating characteristic curve was 0.84. All studies were found to have a high risk of bias and good applicability. Meta-analysis showed: National Institutes of Health Stroke Scale score, age, neutrophil-to-lymphocyte ratio, neglect, visual impairment and atrial fibrillation were independent predictors of post-stroke delirium.
The included studies all found to have a high risk of bias; future studies should focus on adopting more scientifically rigorous study designs and following the standardised reporting guidelines to enhance extrapolation and facilitate its clinical application.
This review may promote clinical healthcare workers to develop and update clinically available prediction models, thereby establishing risk prediction models with strong clinical utility.
This study presents the first systematic evaluation of delirium risk prediction models in stroke patients, thereby facilitating the choice, use and develop of the clinical usable post stroke delirium risk prediction models.
This review adhered to the PRISMA guidelines.
No patient or public contribution.
RD42024620360 (PROSPERO According to JAN Guidelines).
Death preparedness is an important prerequisite for improving the quality of life and the quality of death in advanced cancer patients. However, research on the level of death preparedness in patients is insufficient, and there is little understanding of the current status and influencing factors of death preparedness in advanced cancer patients.
This study aims to assess the current status of death preparedness and its influencing factors in advanced cancer patients.
Based on the PRECEDE-PROCEED model, a structured survey questionnaire was designed to collect data on personal factors (such as gender, age and residence area), interpersonal factors (such as social support, caregiver readiness and healthcare worker readiness) and social factors (such as care resources, policy support and information supply). Through multiple linear regression and BP neural network analysis, the study explores the impact and significance of these influencing factors on death preparedness in advanced cancer patients.
A total of 930 valid questionnaires were collected in this study. The death preparedness score in advanced cancer patients was 72.18 ± 22.82, indicating a moderate level, with the highest score being the ‘reflexive care’ dimension and the lowest score being the ‘hospice programme’ dimension. Multivariate analysis revealed that meaning in life and social support were the most significant predictors of death preparedness in advanced cancer patients. In addition, personal factors such as dignity, household income and coping style, also played an important role. Interpersonal factors like social support, as well as social factors such as care resources and policy support, also had an impact on patients' death preparedness to some extent.
Death preparedness in advanced cancer patients is generally at a moderate level, and death preparedness is influenced by a combination of personal factors, interpersonal factors and social factors.
This study is based on the PRECEDE-PROCEED model to comprehensively explore the influencing factors of death preparedness in advanced cancer patients. It provides theoretical support for improving life services for advanced cancer patients. It offers valuable practical experience and insights for societal attention and reform in end-of-life care.
No Patient or Public Contributions were included in this paper.
This study aimed to establish a comprehensive set of nursing-sensitive quality indicators (NSQIs) for patients with dysphagia following tracheotomy due to acquired brain injury (ABI), based on the ‘structure-process-outcome’ model.
A Delphi survey.
The research utilised a mixed-methods approach, including systematic literature reviews, qualitative interviews and two rounds of Delphi expert consultations. A diverse team comprising specialists in dysphagia rehabilitation and nursing management conducted the research, which involved defining and refining NSQIs through extensive evaluations and consensus among recruited experts.
The finalised NSQI includes 4 structural indicators, 13 process indicators and 4 outcome indicators, covering key aspects such as resource allocation, patient assessment and clinical outcomes. The expert consensus provides verification. Kendall's harmony coefficients are 0.304 and 0.138 (p < 0.001), respectively, and the mean importance assignments of indicators at all levels are 3.90–5.00. The final care of patients with tracheotomy and dysphagia after brain injury was constructed. The evaluation indicators include a total of 4 first-level indicators, 23 second-level indicators and 52 third-level indicators.
The established NSQIs offer a systematic framework to enhance the quality of nursing care for ABI patients with posttracheotomy dysphagia. This model facilitates precise monitoring and proactive management of nursing practices, promising better patient outcomes and streamlined care processes.
This study develops targeted NSQIs to improve dysphagia management in ABI patients’ posttracheotomy, fostering better patient outcomes and advancing nursing education through essential specialised training.
Expert-driven insights from experienced clinicians informed the NSQIs, ensuring their relevance and effectiveness in enhancing patient-centred care.
To obtain an in-depth understanding of the lived experiences, values, and beliefs of Taiwanese women with breast cancer who withdrew from cancer treatment.
Fear of side effects, negative experiences and personal beliefs were identified as reasons for withdrawing from cancer treatments. Body–mind consciousness and body autonomy play a crucial role in cancer treatment decisions.
Descriptive phenomenological approach.
We conducted semi-structured, face-to-face and in-depth interviews with 16 women diagnosed with breast cancer. Participants were purposefully selected from the Cancer Registry database. Employing a phenomenological approach, our aim was to explore the lived experiences of these individuals. Data analysis followed Giorgi's five-step process. To ensure a comprehensive report the COREQ checklist was applied.
‘The Determination to Preserve Me’ is the essence of treatment withdrawal, identified by three themes and seven sub-themes. ‘Raising Body-Mind Consciousness’ was generated using body autonomy and preventing repeated psychological trauma from the participant's view. Their lifestyles, maintaining the family role, and returning to a normal trajectory help develop ‘Maintaining Stability for Being a Patient and a Family Carer’. ‘Self-Defending Against the Body Harm’ was generated by concerns about maintaining health and preventing harm.
Women's behaviours became transformed by suffering. Actions were influenced by physical and psychological distress, misconceptions about treatments, and appearance changes by self-determination through self-protection.
Healthcare professionals should respect women's autonomy and work collaboratively to ensure their decision-making with accurate information and awareness of the potential risks and benefits of treatment withdrawal need to concern.
FreshRSS 