Evidence map›Paper›PMID 23657924›Full record

ReviewInternational journal of methods in psychiatric research2013

A review of the reliability and validity of OPCRIT in relation to its use for the routine clinical assessment of mental health patients.

Philip J Brittain, Daniel Stahl, James Rucker, Jamie Kawadler, Gunter Schumann

Abstract readReview
In one paragraph

Review in International journal of methods in psychiatric research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

13 citing papers in PubMed, 22 citations in OpenAlex.

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  12. Validation of a Population-Based Algorithm to Detect Chronic Psychotic Illness.Canadian journal of psychiatry. Revue canadienne de psychiatrie · 2015
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  13. Observational
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

5 authors at 1 institution in 1 country.

Philip J BrittainMRC-SGDP Centre, Institute of Psychiatry, King's College London, London, UK. Philip.Brittain@kcl.ac.uk
Daniel Stahl
James Rucker
Jamie Kawadler
Gunter Schumann
King's College London · GB

Funding

Medical Research Council G0901858
6 · The paper itself

Abstract

The OPCRIT program is a symptom checklist with accompanying algorithms producing operationally defined diagnoses. We undertook a review of studies which had used OPCRIT and had reported statistics concerning its reliability and validity, producing summary measures from 44 studies. The first main measure of interest was inter-rater reliability where mean kappa values indicated that agreement between raters was "substantial" with a marginal improvement at the diagnostic (0.76) versus individual item (0.69) level. The second main measure of interest was convergent validity - the agreement between OPCRIT and clinical diagnoses. Most studies reported these figures as concordance rates suggesting mean agreement, unadjusted for chance, of 69%. Very few studies used the chance-adjusted kappa statistic but where this was used agreement was "fair" (0.39). Agreement between OPCRIT and other research diagnoses was "moderate" (0.60). We also considered differences between the way OPCRIT has traditionally been used in research settings and the naturalistic manner in which it will be employed in the hospital ward. This review provides a summary of the reliability and validity of OPCRIT, which will be considered during the preparation for its use in the routine characterization of mental health patients in clinical settings.

Indexed as

Psychiatric Status Rating ScalesDatabases, FactualFemaleHumansMaleMental DisordersReproducibility of Results

Identifiers

PMID23657924
PMCPMC6878530
OpenAlexW1897232445

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.