Evidence map›Paper›PMID 32934037›Full record

ArticleClinical medicine (London, England)2020

Impact of a system-wide multicomponent intervention on administrative diagnostic coding for delirium and other cognitive frailty syndromes: observational prospective study.

Sarah T Pendlebury, Nicola G Lovett, Ross J Thomson, Sarah C Smith

Open access · diamondAbstract read
In one paragraph

Article in Clinical medicine (London, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
3.0field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 43 citations in OpenAlex.

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  13. Infection, Inflammation, and Poststroke Cognitive Impairment.Journal of the American Heart Association · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Sarah T PendleburyCentre for Prevention of Stroke and Dementia, Oxford, UK and NIHR Oxford Biomedical Research Centre, Oxford, UK sarah.pendlebury@ndcn.ox.ac.uk.
Nicola G LovettOxford University Hospitals NHS Foundation Trust, Oxford, UK.
Ross J ThomsonRoyal Free London NHS Foundation Trust, London, UK and Queen Mary University of London, London, UK.
Sarah C SmithOxford University Hospitals NHS Foundation Trust, Oxford, UK.
Oxford University Hospitals NHS Trust · GBOxford BioMedica (United Kingdom) · GBRoyal Free London NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe determined the impact of a system-wide multicomponent intervention to improve recognition and documentation of cognitive frailty syndromes on hospital administrative coding for delirium.

methodsA multicomponent intervention including introduction of structured patient assessment including cognitive/delirium screen, regular audit/feedback and educational seminars was undertaken (2012-17). Sensitivity and specificity of administrative

resultsAmong 1,281 consecutive unselected admissions to acute medicine overall (mean / standard deviation age = 70.0/19.2 years; n=615 (48.0%) male), 320 had clinical delirium diagnosis (n=220 delirium only; n=100 delirium on dementia). Sensitivity of delirium coding increased from 12.8% (95% confidence interval (CI) 5.6-26.7) in 2010 to 60.2% (95% CI 50.1-69.7; p

conclusionA multicomponent intervention increased sensitivity of hospital administrative diagnostic coding for delirium almost six-fold without increasing the false positive diagnosis rate.

Indexed as

DeliriumFrailtyAgedClinical CodingCognitionFrail ElderlyHumansMaleProspective StudiesSyndromecognitive frailtyDeliriumdementiaICD-10 diagnostic codingsensitivity/specificity

Identifiers

PMID32934037
PMCPMC7539726
OpenAlexW3086857220

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.