Evidence map›Paper›PMID 11300208›Full record

ArticleEmergency medicine journal : EMJ2001

Improving detection of alcohol misuse in patients presenting to an accident and emergency department.

J S Huntley, C Blain, S Hood, R Touquet

Abstract read
In one paragraph

Article in Emergency medicine journal : EMJ, 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

J S HuntleyDepartment of Accident and Emergency Medicine, St Mary's Hospital NHS Trust, London, UK.
C Blain
S Hood
R Touquet

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo assess and improve deployment of a brief test for alcohol misuse: the Paddington Alcohol Test (PAT). Design-Prospective study of the effects of audit feedback.

settingAn urban accident and emergency department. SUBJECTS: Senior house officers (SHO) (n = 13). OUTCOME MEASUREMENTS: PAT use and categorisation of patients for each SHO; observational analysis of presenting complaints according to PAT.

results1062 of 1737 patients (61.1%) were defined as PAT possible-that is, presented with > or = one complaint listed on the PAT test proforma. In month 1, PAT uptake was poor. PAT use improved significantly when feedback was instituted (p<0.0001). The response to audit and feedback showed marked inter-SHO variation. When feedback was withdrawn (month 4), there was a significant reduction in PAT use (p=0.003). Three other indices of detection followed this trend: (a) number of PAT positive patients identified, (b) proportion of PAT possible patients identified as PAT positive, and (c) number of PAT positive patients referred to the alcoholic health worker. The 10 most common PAT positive categories, accounting for 77% of all PAT positive complaints were: fall > collapse (including "fit", "blackout") > head injury (including "facial injury") > assault (including "domestic violence" and 'other') > nonspecific gastrointestinal problem > "unwell" > psychiatric (including "depression", "overdose", "confusion") > cardiac (including "chest pain" and "palpitations") > self neglect > repeat attendance.

conclusionsOngoing audit with feedback improves both PAT use and detection of alcohol misuse. The PAT is now simpler including only 10 conditions, which should further aid its use.

Indexed as

Emergency Service, HospitalHealth Status IndicatorsAdolescentAdultAgedAlcoholic IntoxicationAlcoholismCross-Sectional StudiesEnglandFemaleHumansIncidenceMaleMiddle AgedPersonality Assessment

Identifiers

PMID11300208
PMCPMC1725549

What OpenQuestion holds

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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.