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To refine fall risk assessment scale among older adults with cognitive impairment in nursing homes.
A cross-sectional survey.
Mokken analysis was conducted to refine the assessment scale based on unidimensionality, local independence, monotonicity, dimensionality, and reliability. Data were gathered from cognitively impaired older adults in a nursing home from January to February 2023. Trained nursing assistants conducted face-to-face assessments and reviewed medical records to administer the scale.
Emotion and State Dimension did not meet unidimensionality criteria (H = 0.14), particularly item Q9, which also violated local independence. Monotonicity analysis showed all items exhibited monotonic increases. After refinement at c = 0.3, the scale consists of nine items. With increasing c-values, the first seven items were ultimately retained to form the final version of the scale. Both optimised scales (9-item and 7-item) satisfied reliability requirements, with all coefficients (Cronbach's α, Guttman's lambda-2, Molenaar-Sijtsma, Latent Class Reliability Coefficient) ≥ 0.74.
The scale is suitable for assessing fall risk among older adults with cognitive impairment, with a unidimensional scale of the first seven items recommended for practical use. Future efforts should refine the scale by exploring additional risk factors, especially emotion-related ones.
The refined 7-item scale provides nursing home staff with a practical, reliable tool for assessing fall risk in cognitively impaired older adults, enabling targeted prevention strategies to enhance safety and reduce injuries.
The refined 7-item scale provides nursing home staff with a reliable, practical, and scientifically validated tool specifically designed for assessing fall risk in older adults with cognitive impairment. Its simplicity enables efficient integration into routine clinical workflows, empowering caregivers to proactively identify risk factors and implement timely, targeted interventions. This approach directly enhances resident safety by translating assessment results into actionable prevention strategies within daily care practices.
This study was reported in accordance with the STROBE guidelines.
No Patient or Public Contribution.
Advance care planning for people with dementia is an important process to ensure that patient preferences are respected throughout disease progression. However, the complexity of advance care planning and the challenges in effective communication hinder its implementation. The lack of clear procedural guidance for health care teams and the limited research on practical issues such as building trust and resolving conflicts further complicate this process.
To explore the key components of and processes for advance care planning for people with dementia.
The authors conducted a comprehensive search of databases, including PubMed, Embase, Web of Science, the Cochrane Library, CINAHL, NICE, Open Grey, CNKI, and Wanfang. The inclusion criteria focused on studies reporting advance care planning practices and stakeholder perspectives related to dementia.
The review included 45 studies and identified key components and processes for successfully implementing advance care planning in dementia care. These components include enhancing readiness, capturing patient wishes, and executing those wishes. The implementation processes cover assessing participation capacity, selecting surrogate decision-makers, and identifying healthcare providers who implement advance care planning. As the condition of people with dementia progresses, the role of healthcare providers who implement advance care planning becomes increasingly important in advance care planning practices.
The success of advance care planning depends on the interconnection of multiple components, and the findings offer practical insights for improving the advance care planning process to ensure that the care preferences of people with dementia are respected throughout the progression of the disease.
PRISMA-ScR.
This is a review without patient and public contribution.
Cognitive decline, including subjective cognitive decline (SCD), mild cognitive impairment (MCI), and dementia, significantly affects social participation, leading to social isolation and reduced quality of life. Enhancing social participation through interventions may mitigate these effects, yet evidence on intervention effectiveness and mechanisms remains inconsistent.
To evaluate the effectiveness of social participation interventions for individuals with cognitive decline and identify effective behavior change techniques (BCTs) supporting social participation.
Our search using the following databases—PubMed, Web of Science, Embase, Cochrane Library, CINAHL, Scopus, CNKI, and Wanfang—was conducted until October 2024. The quality of the included studies was assessed using the Cochrane risk of bias tool for randomized trials. Meta-analyses were conducted using Review Manager 5.4 and Stata18, and the certainty of evidence was rated using the Grading of Recommendations Assessment, Development, and Evaluation approach.
Sixteen RCTs involving 2190 participants were included. Music therapy (SMD = 0.62, 95% CI [0.15, 1.10]) and reminiscence therapy (SMD = 0.34, 95% CI [0.02, 0.66]) demonstrated significant positive effects on social participation. Group-based interventions were particularly effective (SMD = 0.23, 95% CI [0.04, 0.43]). Commonly used BCTs included goal setting, behavioral practice/rehearsal, and social support. However, substantial heterogeneity and limited data on SCD and MCI restricted generalizability.
Interventions promoting social participation may enhance engagement for individuals with cognitive decline, particularly through music therapy, reminiscence therapy, and group-based formats. The complexity and dynamic nature of social interaction require individuals to engage and integrate various cognitive functions and skills, which can present significant challenges for older adults with cognitive impairments in their daily social participation. Further research is needed to optimize intervention components and address gaps in targeting early cognitive decline stages.
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