78 research outputs found

    COVID-19 management in nursing homes by outbreak teams (MINUTES) - study description and data characteristics: a qualitative study

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    Objectives Nursing homes are hit relatively hard by the COVID-19 pandemic. Dutch long-term care (LTC) organisations installed outbreak teams (OTs) to coordinate COVID-19 infection prevention and control. LTC organisations and relevant national policy organisations expressed the need to share experiences from these OTs that can be applied directly in COVID-19 policy. The aim of the 'COVID-19 management in nursing homes by outbreak teams' (MINUTES) study is to describe the challenges, responses and the impact of the COVID-19 pandemic in Dutch nursing homes. In this first article, we describe the MINUTES Study and present data characteristics. Design This large-scale multicentre study has a qualitative design using manifest content analysis. The participating organisations shared their OT minutes and other meeting documents on a weekly basis. Data from week 16 (April) to week 53 (December) 2020 included the first two waves of COVID-19. Setting National study with 41 large Dutch LTC organisations. Participants The LTC organisations represented 563 nursing home locations and almost 43 000 residents. Results At least 36 of the 41 organisations had one or more SARS-CoV-2 infections among their residents. Most OTs were composed of management, medical staff, support services staff, policy advisors and communication specialists. Topics that emerged from the documents were: crisis management, isolation of residents, personal protective equipment and hygiene, staff, residents' well-being, visitor policies, testing and vaccination. Conclusions OT meeting minutes are a valuable data source to monitor the impact of and responses to COVID-19 in nursing homes. Depending on the course of the COVID-19 pandemic, data collection and analysis will continue until November 2021. The results are used directly in national and organisational COVID-19 policy.Public Health and primary careGeriatrics in primary car

    Early recognition and treatment of neuropsychiatric symptoms to improve quality of life in early Alzheimer's disease

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    __Background:__ Neuropsychiatric symptoms (NPS) are very common in patients with mild cognitive impairment (MCI) and Alzheimer's disease (AD) dementia and are associated with various disadvantageous clinical outcomes including a negative impact on quality of life, caregiver burden, and accelerated disease progression. Despite growing evidence of the efficacy of (non)pharmacological interventions to reduce these symptoms, NPS remain underrecognized and undertreated in memory clinics. The BEhavioural symptoms in Alzheimer's disease Towards early Identification and Treatment (BEAT-IT) study is developed to (1) investigate the neurobiological etiology of NPS in AD and (2) study the effectiveness of the Describe, Investigate, Create, Evaluate (DICE) approach to structure and standardize the current care of NPS in AD. By means of the DICE method, we aim to improve the quality of life of AD patients with NPS and their caregivers who visit the memory clinic. This paper describes the protocol for the intervention study that incorporates the latter aim. __Methods:__ We aim to enroll a total of 150 community-dwelling patients with MCI or AD and their caregivers in two waves. First, we will recruit a control group who will receive care as usual. Next, the second wave of participants will undergo the DICE method. This approach consists of the following steps: (1) describe the context in which NPS occur, (2) investigate the possible causes, (3) create and implement a treatment pl

    Neuropsychiatric symptoms in Dutch nursing home patients with dementia

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    Contains fulltext : 71111.pdf (publisher's version ) (Open Access)RU Radboud Universiteit Nijmegen, 8 februari 2008160 p

    Comparison of cognitive functioning as measured by the Ruff Figural Fluency Test and the CogState computerized battery within the LifeLines Cohort Study

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    Contains fulltext : 174524.pdf (publisher's version ) (Open Access)BACKGROUND: The Ruff Figural Fluency Test (RFFT; a pencil and paper test) and the CogState (a computerized cognitive test battery) are well-validated and suitable tests to evaluate cognitive functioning in large observational studies at the population level. The LifeLines Cohort Study includes the RFFT as baseline measurement and incorporated the CogState as replacement for the RFFT at follow-up. It is unknown how these two tests relate to each other. Therefore, the aim of this study is to examine the correlation between the RFFT and the CogState and the impact of demographic characteristics on this association. METHODS: A subcohort of the LifeLines Cohort Study, a large population based cohort study, participated in this study. Correlations between the RFFT and six subtasks of the CogState were examined. Subgroup analyses were performed to investigate the influence of age, education, and gender on the results. With sensitivity analyses we investigated the influence of computer experience and (physical) impairments. RESULTS: A total of 509 participants (mean age (SD): 53 years (14.6); range 18-87 years) participated in this study. All correlations between the RFFT and the CogState were statistically significant (except for the correlation between the RFFT error ratio and the CogState One Back Task), ranging from -0.39 to 0.28. Stratifying the analyses for age, education, and gender did not substantially affect our conclusions. Sensitivity analyses showed no substantial influence of level of computer experience or (physical) impairments. CONCLUSIONS: Correlations found in the present study were only weak to moderate, indicating that cognitive functioning measured by the RFFT does not measure the same components of cognitive functioning as six subtasks of the CogState. Computerized testing such as the CogState may be very well suited for large cohort studies to assess cognitive functioning in the general population and to identify cognitive changes as early as possible, as it is a less time- and labor intensive tool

    Prevalence and correlates of psychotropic drug use in Dutch nursing-home patients with dementia.

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    Contains fulltext : 81871.pdf (publisher's version ) (Closed access)BACKGROUND: Neuropsychiatric symptoms in dementia patients are common and are often treated with psychotropic drugs. The aim of this study was to determine the prevalence and correlates of psychotropic drug use in Dutch nursing home patients with dementia. METHODS: Psychotropic drug use of 1322 patients on 59 dementia special care units (SCUs) in 25 nursing homes was registered. Drugs were categorized according to the Anatomical Therapeutical Chemical classification (ATC). The influence of age, gender, dementia stage measured by the Global Deterioration Scale (GDS), and type of neuropsychiatric symptoms on psychotropic drug use was analyzed using binomial logistic regression analysis. RESULTS: 63% of the patients used at least one psychotropic drug. Psychotropics in general and antipsychotics in particular were most frequently prescribed in GDS stage 6, and in patients aged between 65 and 75 years. Psychotropics in general were positively associated with depression, night-time behavior and agitation. Antipsychotic drug use was positively associated with psychosis, agitation and night-time behavior and was negatively associated with apathy. Anxiolytics were associated with age, psychosis, agitation and night-time behavior. Antidepressants were most frequently prescribed in GDS stage 6 and associated with female gender, agitation and depression. Sedatives were only associated with night-time behavior. CONCLUSION: Nursing home patients with dementia have a high prevalence of psychotropic drug use. In particular, the association with neuropsychiatric symptoms raises questions of efficacy of these drugs and the risk of chronic use

    Prevalence and correlates of psychotropic drug use in Dutch nursing home patients with young-onset dementia

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    Contains fulltext : 206243.pdf (publisher's version ) (Open Access
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