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2.
Age Ageing ; 52(5)2023 05 01.
Article in English | MEDLINE | ID: covidwho-20237775

ABSTRACT

BACKGROUND: Care homes are increasingly important settings for intervention research to enhance evidence-informed care. For such research to demonstrate effectiveness, it is essential that measures are appropriate for the population, setting and practice contexts. OBJECTIVE: To identify care home intervention studies and describe the resident outcome measures used. DESIGN: Scoping review. METHODS: We reviewed international care home research published from 2015 to August 2022. We searched MEDLINE, EMBASE, CINAHL and ASSIA. We included any intervention study conducted in a care home, reporting resident outcomes. We extracted resident outcome measures, organised these using the domains of an adapted framework and described their use. RESULTS: From 7,330 records screened, we included 396 datasets reported in 436 publications. These included 12,167 care homes and 836,842 residents, with an average of 80 residents per study. The studies evaluated 859 unique resident outcomes 2,030 times using 732 outcome measures. Outcomes were evaluated between 1 and 112 times, with 75.1% of outcomes evaluated only once. Outcome measures were used 1-120 times, with 68.4% of measures used only once. Only 14 measures were used ≥20 times. Functional status, mood & behaviour and medications were the commonest outcome domains assessed. More than half of outcomes were assessed using scales, with a fifth using existing records or administrative data. CONCLUSIONS: There is significant heterogeneity in the choice and assessment of outcomes for intervention research in care homes. There is an urgent need to develop a consensus on useful and sensitive tools for care homes, working with residents, families and friends and staff.


Subject(s)
Homes for the Aged , Outcome Assessment, Health Care , Humans , Aged
3.
Lancet Healthy Longev ; 3(3): e186-e193, 2022 03.
Article in English | MEDLINE | ID: covidwho-2253353

ABSTRACT

Reforms to social care in response to the COVID-19 pandemic, in the UK and internationally, place data at the heart of proposed innovations and solutions. The principles are not well established of what constitutes core, or minimum, data to support care home residents. Often, what is included privileges data on resident health over day-to-day care priorities and quality of life. This Personal View argues for evidence-based principles on which to base the development of a UK minimum data set (MDS) for care homes. Co-produced work involving care home staff and older people working with stakeholders is required to define and agree the format, content, structure, and operationalisation of the MDS. Implementation decisions will determine the success of the MDS, affecting aspects including data quality, completeness, and usability. Care home staff who collect the data need to benefit from the MDS and see value in their contribution, and residents must derive benefit from data collection and synthesis.


Subject(s)
COVID-19 , Nursing Homes , Aged , Humans , Pandemics , Quality of Life , United Kingdom
5.
Age Ageing ; 50(5): 1482-1492, 2021 09 11.
Article in English | MEDLINE | ID: covidwho-1219031

ABSTRACT

BACKGROUND: understanding care-home outbreaks of COVID-19 is a key public health priority in the ongoing pandemic to help protect vulnerable residents. OBJECTIVE: to describe all outbreaks of COVID-19 infection in Scottish care-homes for older people between 01/03/2020 and 31/03/2020, with follow-up to 30/06/2020. DESIGN AND SETTING: National linked data cohort analysis of Scottish care-homes for older people. METHODS: data linkage was used to identify outbreaks of COVID-19 in care-homes. Care-home characteristics associated with the presence of an outbreak were examined using logistic regression. Size of outbreaks was modelled using negative binomial regression. RESULTS: 334 (41%) Scottish care-homes for older people experienced an outbreak, with heterogeneity in outbreak size (1-63 cases; median = 6) and duration (1-94 days, median = 31.5 days). Four distinct patterns of outbreak were identified: 'typical' (38% of outbreaks, mean 11.2 cases and 48 days duration), severe (11%, mean 29.7 cases and 60 days), contained (37%, mean 3.5 cases and 13 days) and late-onset (14%, mean 5.4 cases and 17 days). Risk of a COVID-19 outbreak increased with increasing care-home size (for ≥90 beds vs <20, adjusted OR = 55.4, 95% CI 15.0-251.7) and rising community prevalence (OR = 1.2 [1.0-1.4] per 100 cases/100,000 population increase). No routinely available care-home characteristic was associated with outbreak size. CONCLUSIONS: reducing community prevalence of COVID-19 infection is essential to protect those living in care-homes. More systematic national data collection to understand care-home residents and the homes in which they live is a priority in ensuring we can respond more effectively in future.


Subject(s)
COVID-19 , Aged , Cohort Studies , Disease Outbreaks , Humans , Nursing Homes , SARS-CoV-2 , Scotland/epidemiology , Semantic Web
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