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Interventions for preventing delirium in older people in institutional long‐term care

Overview of attention for article published in Cochrane database of systematic reviews, January 2014
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

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39 X users
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5 Facebook pages

Citations

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73 Dimensions

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407 Mendeley
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1 CiteULike
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Title
Interventions for preventing delirium in older people in institutional long‐term care
Published in
Cochrane database of systematic reviews, January 2014
DOI 10.1002/14651858.cd009537.pub2
Pubmed ID
Authors

Andrew Clegg, Najma Siddiqi, Anne Heaven, John Young, Rachel Holt

Abstract

Background: Delirium is a common and distressing complication of a range of stressor events including infection, new medications and environment change that is often experienced by older people with frailty and dementia. Older people living in institutional long-term care (LTC)are at high risk of delirium, which increases the risk of admission to hospital, development of or worsening of dementia, and mortality.Delirium is also associated with substantial healthcare costs. Although it is possible to prevent delirium in the hospital setting by providing multicomponent delirium prevention interventions it is currently unclear whether interventions to prevent delirium in LTCare effective.Objectives: To assess the effectiveness of interventions for preventing delirium in older people in long term care.Search methods: We searched ALOIS (www.medicine.ox.ac.uk/alois) - the Cochrane Dementia and Cognitive Improvement Group's Specialised Register- on 23 April 2013. The search was as sensitive as possible to identify all studies on ALOIS relating to delirium. We ran additional separate searches in major healthcare databases, trial registers, the Cochrane Central Register of Controlled Trials (CENTRAL) and grey literature sources, to ensure that the search was as comprehensive as possible.Selection criteria: We included randomised controlled trials (RCTs) and cluster-randomised controlled trials (cluster-RCTs) of single- and multi componentn on-pharmacological and pharmacological interventions for preventing delirium in older people (aged 65 years and over) in permanent LTC residence.Data collection and analysis: Two independent review authors examined the titles and abstracts of citations identified by the search for eligibility and extracted data, with any disagreements settled by consensus. Primary outcomes were prevalence, incidence and severity of delirium. Secondary outcomes included new diagnosis of dementia, activities of daily living, quality of life and adverse outcomes. We used risk ratios (RRs)as measures of treatment effect for dichotomous outcomes and hazard ratios (HR) for time to event data.Main results We included two trials that recruited 3636 participants.Both were complex single-component non-pharmacological delirium prevention interventions. Risk of bias for many items was unclear due to inadequate reporting. Notably, there was no evidence of blinding of trial participants or assessors in either trial. One small cluster-RCT (n = 98) of a hydration-based intervention reported no reduction in delirium incidence in the intervention group compared to control (RR 0.85, 95% confidence interval (CI) 0.18 to 4.00, analysis not adjusted for clustering, very low quality evidence). Results were imprecise and there were serious limitations evident in trial design.One large cluster-RCT (n = 3538) of a computerised system to identify medications that may contribute to delirium risk and trigger a pharmacist-led medication review reported a large reduction in delirium incidence (12-month HR 0.42, CI 0.34 to 0.51, moderat equality evidence) but no clear evidence of reduction in hospital admissions (HR 0.89, CI 0.72 to 1.10, moderate quality evidence), in mortality (HR 0.88, CI 0.66 to 1.17, moderate quality evidence) or in falls risk (HR 1.03, CI 0.92 to 1.15, moderate quality evidence).Authors' conclusions Our review identified very limited evidence on interventions for preventing deliriumin older people in LTC. Introduction of a software based intervention to identify medications that could contribute to delirium risk so that a pharmacist-led medication review and monitoring plan can be initiated may reduce incidence of delirium for older people in institutional LTC. This is based on one large RCT in the United States and may not be practical in other countries which do not have comparable information technology services available in care homes. Our review identified only one ongoing pilot trial of a multicomponent delirium prevention intervention and no trials of pharmacological agents. Future trials of computerised medication management systems and multicomponent non-pharmacological and pharmacological delirium prevention interventions for older people in LTC are needed to help inform the provision of evidence based care for this vulnerable group.

X Demographics

X Demographics

The data shown below were collected from the profiles of 39 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 407 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 <1%
Netherlands 1 <1%
Finland 1 <1%
Korea, Republic of 1 <1%
Canada 1 <1%
Spain 1 <1%
Unknown 399 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 65 16%
Researcher 53 13%
Student > Ph. D. Student 52 13%
Student > Bachelor 41 10%
Other 34 8%
Other 85 21%
Unknown 77 19%
Readers by discipline Count As %
Medicine and Dentistry 137 34%
Nursing and Health Professions 78 19%
Psychology 27 7%
Social Sciences 16 4%
Pharmacology, Toxicology and Pharmaceutical Science 15 4%
Other 45 11%
Unknown 89 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 26. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 February 2017.
All research outputs
#1,479,131
of 25,457,858 outputs
Outputs from Cochrane database of systematic reviews
#3,155
of 11,499 outputs
Outputs of similar age
#16,483
of 322,735 outputs
Outputs of similar age from Cochrane database of systematic reviews
#66
of 224 outputs
Altmetric has tracked 25,457,858 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,499 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.0. This one has gotten more attention than average, scoring higher than 74% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 322,735 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 224 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.