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To explore the views and preferences for advance care planning from the perspectives of residents, family members and healthcare professionals in long-term care facilities.
A qualitative descriptive design.
We conducted semi-structured interviews with 12 residents of long-term care facilities, 10 family members and 14 healthcare professionals. Data were analysed using reflexive thematic analysis. The social ecological model was used to develop implementation recommendations.
We constructed a conceptual model of barriers and facilitators to advance care planning in long-term care facilities, drawing upon four dominant themes from the qualitative analysis: (1) The absence of discourse on end-of-life care: a lack of cultural climate to talk about death, the unspoken agreement to avoid conversations about death, and poor awareness of palliative care may hinder advance care planning initiation; (2) Relational decision-making process is a dual factor affecting advance care planning engagement; (3) Low trust and ‘unsafe’ cultures: a lack of honest information sharing, risks of violating social expectations and damaging social relationships, and risks of legal consequences may hinder willingness to engage in advance care planning; (4) Meeting and respecting residents' psychosocial needs: these can be addressed by readiness assessment, initiating advance care planning in an informal and equal manner and involving social workers.
Our findings show that residents' voices were not being heard. It is necessary to identify residents' spontaneous conversation triggers, articulate the value of advance care planning in light of the family's values and preferences, and respect residents' psychosocial needs to promote advance care planning in long-term care facilities. Advance care planning may alleviate the decision-making burden of offspring in nuclear families.
The evidence-based recommendations in this study will inform the implementation of context-specific advance care planning in Asia-Pacific regions.
Patients and caregivers contributed to the interview pilot and data collection.
Overweight and obesity are growing public health problems worldwide. Both diet and physical activity have been the primary interventions for weight reduction over the past decade. With increasing rates of overweight and obesity, it is evident that a primary focus on diet and exercise has not resulted in sustained obesity reduction within the global population. There is now a case to explore other weight management strategies, focusing on psychological factors that may underpin overweight and obesity. Psychological therapy interventions are gaining recognition for their effectiveness in addressing underlying emotional factors and promoting weight loss. However, there is a dearth of literature that has mapped the types of psychological interventions and the characteristics of these interventions as a means of achieving weight reduction and sustained weight reduction in adults with overweight or obesity.
The review will combine the methodology outlined by Arksey and O’Malley with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews guidelines. A total of six databases will be searched using a comprehensive search strategy. Intervention studies will be included if participants are 18 years and over, classified as overweight or obese (body mass index ≥25 kg/m2), and have received a psychological therapy intervention. The review will exclude studies that are not available in English, not full text, none peer reviewed or combine a lifestyle and/or pharmacological intervention with a psychological intervention. Data will be synthesised using a narrative synthesis approach.
Ethical approval is not required to conduct this scoping review. The findings will be disseminated through journal publication(s), social media and a lay summary for key stakeholders.
We aimed to develop and externally validate a generalisable risk prediction model for 30-day stroke mortality suitable for supporting quality improvement analytics in stroke care using large nationwide stroke registers in the UK and Sweden.
Registry-based cohort study.
Stroke registries including the Sentinel Stroke National Audit Programme (SSNAP) in England, Wales and Northern Ireland (2013–2019) and the national Swedish stroke register (Riksstroke 2015–2020).
Data from SSNAP were used for developing and temporally validating the model, and data from Riksstroke were used for external validation. Models were developed with the variables available in both registries using logistic regression (LR), LR with elastic net and interaction terms and eXtreme Gradient Boosting (XGBoost). Performances were evaluated with discrimination, calibration and decision curves.
The primary outcome was all-cause 30-day in-hospital mortality after stroke.
In total, 488 497 patients who had a stroke with 12.4% 30-day in-hospital mortality were used for developing and temporally validating the model in the UK. A total of 128 360 patients who had a stroke with 10.8% 30-day in-hospital mortality and 13.1% all mortality were used for external validation in Sweden. In the SSNAP temporal validation set, the final XGBoost model achieved the highest area under the receiver operating characteristic curve (AUC) (0.852 (95% CI 0.848 to 0.855)) and was well calibrated. The performances on the external validation in Riksstroke were as good and achieved AUC at 0.861 (95% CI 0.858 to 0.865) for in-hospital mortality. For Riksstroke, the models slightly overestimated the risk for in-hospital mortality, while they were better calibrated at the risk for all mortality.
The risk prediction model was accurate and externally validated using high quality registry data. This is potentially suitable to be deployed as part of quality improvement analytics in stroke care to enable the fair comparison of stroke mortality outcomes across hospitals and health systems across countries
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