International psychogeriatrics最新文献

There is a high prevalence of sleep disturbances among people living with dementia (PLWD) in nursing homes. Reliable and valid measurements are needed to assess these disturbances. The aim of this systematic review was to identify, analyze and synthesize studies of sleep-related measurements to assess sleep disturbances in PLWD.

The databases PubMed, CINAHL, and PsycINFO were systematically searched in 2019; the search was updated in March 2024. The inclusion criteria were as follows: participants with dementia or probable dementia in any care setting; and studies that reported at least one of the following aspects: (I) theoretical and conceptual frameworks, (II) user or patient involvement by type of users in measurement development, (III) feasibility and practicability of measurements, and (IV) results of psychometric analyses. The quality of the included studies was evaluated using the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) criteria and the quality appraisal tool for studies of diagnostic reliability (QAREL) tool.

A total of 5169 studies were identified; ultimately, 15 studies describing three self-administered measurements, three proxy-administered measurements and two technological measurements were included. No sleep-related measurement showed acceptable psychometric properties in any of the COSMIN domains.

No measurement without adaptation can be recommended for PLWD in nursing homes. If existing measurements are used in clinical practice, the self-perspective of PLWD should be taken into account. If this is no longer fully possible, proxy-rating perspectives in combination could be an option. Future research on sleep-related measurements should be strictly based on international consensus-based psychometric quality criteria.

Among participants with Alzheimer's disease (AD) we estimated the minimal clinically important difference (MCID) in apathy symptom severity on three scales.

Retrospective anchor- and distribution-based analyses of change in apathy symptom scores.

Apathy in Dementia Methylphenidate Trial (ADMET) and ADMET 2 randomized controlled trials conducted at three and ten clinics specialized in dementia care in United States and Canada, respectively.

Two hundred and sixty participants (60 ADMET, 200 ADMET 2) with clinically significant apathy in Alzheimer’s disease.

The Clinical Global Impression of Change in Apathy scale was used as the anchor measure and the MCID on the Neuropsychiatric Inventory – Apathy (NPI-A), Dementia Apathy Interview and Rating (DAIR), and Apathy Evaluation Scale-Informant (AES-I) were estimated with linear mixed models across all study visits. The estimated thresholds were evaluated with performance metrics.

Among the MCID was a decrease of four points (95% CI: −4.0 to −4.8) on the NPI-A, 0.56 points (95% CI: −0.47 to −0.65) on the DAIR, and three points on the AES-I (95% CI: −0.9 to −5.4). Distribution-based analyses were largely consistent with the anchor-based analyses. The MCID across the three measures showed ∼60% accuracy. Sensitivity analyses found that MMSE scores and apathy severity at baseline influenced the estimated MCID.

MCIDs for apathy on three scales will help evaluate treatment efficacy at the individual level. However, the modest correspondence between MCID and clinical impression of change suggests the need to consider other scales.

The U.S. Department of Veterans Affairs is actively transitioning away from a disease-centric model of healthcare to one that prioritizes disease prevention and the promotion of overall health and well-being. Described as Whole Health, this initiative aims to provide personalized, values-centered care that optimizes physical, behavioral, spiritual, and socioeconomic well-being. To inform this initiative, we analyzed cross-sectional data from a nationally representative sample of primarily older U.S. military veterans to estimate levels of well-being across these domains, and identify sociodemographic, military, and potentially modifiable health and psychosocial correlates of them. Results revealed that, overall, veterans reported high domain-specific well-being (average scores ranging from 6.7 to 8.3 out of 10), with the highest levels in the socioeconomic domain and lowest in the physical domain. Several modifiable factors, including purpose in life, resilience, and social support, were strongly associated with the examined well-being domains. Interventions targeting these constructs may help promote well-being among U.S. veterans.