Evidence map›Paper›PMID 31266488›Full record

ArticleBMC psychiatry2019

The reproducibility of psychiatric evaluations of work disability: two reliability and agreement studies.

Regina Kunz, David Y von Allmen, Renato Marelli, Ulrike Hoffmann-Richter, Joerg Jeger, Ralph Mager, Etienne Colomb, Heinz J Schaad, Monica Bachmann, Nicole Vogel and 6 more

Abstract readValidation Study
In one paragraph

Article in BMC psychiatry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
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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

16 authors.

Regina KunzDepartment of Clinical Research, Evidence-based Insurance Medicine, University of Basel, University Hospital, 4031, Basel, Switzerland. regina.kunz@usb.ch.ORCID 0000-0003-0931-8990
David Y von AllmenDepartment of Clinical Research, Evidence-based Insurance Medicine, University of Basel, University Hospital, 4031, Basel, Switzerland.
Renato MarelliSwiss Society of Insurance Psychiatry, SGVP, 4051, Basel, Switzerland.
Ulrike Hoffmann-RichterSwiss National Accident Insurance Funds, 6004, Luzern, Switzerland.
Joerg JegerInstitute of Medical Disability Evaluations of Central Switzerland, 6003, Lucerne, Switzerland.
Ralph MagerSwiss Society of Insurance Psychiatry, SGVP, 4051, Basel, Switzerland.
Etienne ColombFrench-Speaking Swiss Association of Practitioners in Medical Expertise (ARPEM), 1025, St Sulpice, Switzerland.
Heinz J SchaadInstitute for Medical Disability Evaluation Interlaken, 3800, Unterseen, Switzerland.
Monica BachmannDepartment of Clinical Research, Evidence-based Insurance Medicine, University of Basel, University Hospital, 4031, Basel, Switzerland.
Nicole VogelDepartment of Clinical Research, Evidence-based Insurance Medicine, University of Basel, University Hospital, 4031, Basel, Switzerland.
Jason W BusseDepartment of Anaesthesia, McMaster University, Hamilton, L8S 4K1, ON, Canada.
Martin EichhornPrivate Practice for Psychiatry, 4057, Basel, Switzerland.
Oskar BänzigerZuerich Office of the Swiss National Disability Insurance, 8005, Zürich, Switzerland.
Thomas ZumbrunnDepartment of Clinical Research, Evidence-based Insurance Medicine, University of Basel, University Hospital, 4031, Basel, Switzerland.
Wout E L de BoerDepartment of Clinical Research, Evidence-based Insurance Medicine, University of Basel, University Hospital, 4031, Basel, Switzerland.
Katrin FischerInstitute Humans in Complex Systems, School of Applied Psychology, University of Applied Sciences Northwestern Switzerland, 4600, Olten, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExpert psychiatrists conducting work disability evaluations often disagree on work capacity (WC) when assessing the same patient. More structured and standardised evaluations focusing on function could improve agreement. The RELY studies aimed to establish the inter-rater reproducibility (reliability and agreement) of 'functional evaluations' in patients with mental disorders applying for disability benefits and to compare the effect of limited versus intensive expert training on reproducibility.

methodsWe performed two multi-centre reproducibility studies on standardised functional WC evaluation (RELY 1 and 2). Trained psychiatrists interviewed 30 and 40 patients respectively and determined WC using the Instrument for Functional Assessment in Psychiatry (IFAP). Three psychiatrists per patient estimated WC from videotaped evaluations. We analysed reliability (intraclass correlation coefficients [ICC]) and agreement ('standard error of measurement' [SEM] and proportions of comparisons within prespecified limits) between expert evaluations of WC. Our primary outcome was WC in alternative work (WC

resultsInter-rater reliability for WC

conclusionsEvidence from non-randomised studies suggests that intensive training in functional evaluation may increase agreement on WC between experts, but fell short to reach stakeholders' expectations. It did not alter reliability. Isolated efforts in training psychiatrists may not suffice to reach the expected level of agreement. A societal discussion about achievable goals and readiness to consider procedural changes in WC evaluations may deserve considerations.

Indexed as

Work Capacity EvaluationFemaleHumansMaleMental DisordersMiddle AgedObserver VariationPsychiatryReproducibility of ResultsDisability evaluationEvidence-based medicineObserver variationReproducibility of resultsReturn to workSocial securityWork capacity evaluation

Identifiers

PMID31266488
PMCPMC6607597

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Registered trials

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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.