Evidence map›Paper›PMID 33962564›Full record

Trial reportBMC family practice2021

Improving the precision of depression diagnosis in general practice: a cluster-randomized trial.

Ursula Ødum Brinck-Claussen, Nadja Kehler Curth, Kaj Sparle Christensen, Annette Sofie Davidsen, John Hagel Mikkelsen, Marianne Engelbrecht Lau, Merete Lundsteen, Claudio Csillag, Carsten Hjorthøj, Merete Nordentoft and 1 more

Registry-linked trialAbstract readRandomized Controlled TrialEquivalence Trial
In one paragraph

Trial report in BMC family practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02678845 (Project Collabri. The Effect of a Collaborative Care Model for Treatment of Depression in Primary Care in Denmark - A Cluster Randomized Clinical Superiority Trial), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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.

NCT02678845 nacompletednot on this map

Project Collabri. The Effect of a Collaborative Care Model for Treatment of Depression in Primary Care in Denmark - A Cluster Randomized Clinical Superiority Trial

TypeinterventionalSponsorAmager HospitalRan2014 to 2020Enrolled325ConditionsDepressionArmsTreatment according to the Collabri model
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

11 authors.

Ursula Ødum Brinck-ClaussenCopenhagen Research Center for Mental Health, Mental Health Center Copenhagen, Gentofte Hospitalsvej 15, 2900, Hellerup, Denmark.
Nadja Kehler CurthCopenhagen Research Center for Mental Health, Mental Health Center Copenhagen, Gentofte Hospitalsvej 15, 2900, Hellerup, Denmark. nadja.kehler.curth.01@regionh.dk.
Kaj Sparle ChristensenResearch Unit for General Practice, Institute of Public Health, Aarhus University, Bartholins Allé 2, 8000, Aarhus C, Denmark.
Annette Sofie DavidsenThe Research Unit for General Practice and Section of General Practice, University of Copenhagen, Oester Farimagsgade 5, Postbox 2099, 1014, Copenhagen K, Denmark.
John Hagel MikkelsenMental Health Center Frederiksberg, Nordre Fasanvej 57-59, 2000, Frederiksberg, Denmark.
Marianne Engelbrecht LauStolpegaard Psychotherapy Center, Stolpegaardsvej 20, 2820, Gentofte, Denmark.
Merete LundsteenGeneral Practitioner in Copenhagen, Copenhagen, Denmark.
Claudio CsillagMental Health Center North Zealand, Dyrehavevej 48, 3400, Hilleroed, Denmark.
Carsten HjorthøjCopenhagen Research Center for Mental Health, Mental Health Center Copenhagen, Gentofte Hospitalsvej 15, 2900, Hellerup, Denmark.
Merete NordentoftCopenhagen Research Center for Mental Health, Mental Health Center Copenhagen, Gentofte Hospitalsvej 15, 2900, Hellerup, Denmark.
Lene Falgaard EplovCopenhagen Research Center for Mental Health, Mental Health Center Copenhagen, Gentofte Hospitalsvej 15, 2900, Hellerup, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMethods to enhance the accuracy of the depression diagnosis continues to be of relevance to clinicians. The primary aim of this study was to compare the diagnostic precision of two different diagnostic strategies using the Mini International Neuropsychiatric Interview (MINI) as a reference standard. A secondary aim was to evaluate accordance between depression severity found via MINI and mean Major Depression Inventory (MDI) sum-scores presented at referral.

methodsThis study was a two-armed, cluster-randomized superiority trial embedded in the Collabri trials investigating collaborative care in Danish general practices. GPs performing case-finding were instructed always to use MDI when suspecting depression. GPs performing usual clinical assessment were instructed to detect depression as they would normally do. According to guidelines, GPs would use MDI if they had a clinical suspicion, and patients responded positively to two or three core symptoms of depression. We compared the positive predictive value (PPV) in the two groups.

resultsFifty-one GP clusters were randomized. In total, 244 participants were recruited in the case-finding group from a total of 19 GP clusters, and 256 participants were recruited in the usual clinical assessment group from a total of 19 GP clusters. The PPV of the GP diagnosis, when based on case-finding, was 0.83 (95% CI 0.78-0.88) and 0.93 (95% CI 0.89-0.96) when based on usual clinical assessment. The mean MDI sum-scores for each depression severity group indicated higher scores than suggested cut-offs.

conclusionsIn this trial, systematic use of MDI on clinical suspicion of depression did not improve the diagnostic precision compared with the usual clinical assessment of depression.

trial registrationThe trial was retrospectively registered on 07/02/2016 at ClinicalTrials.gov. No. NCT02678845 .

Indexed as

General PracticeMajor Depressive DisorderDepressionHumansPsychiatric Status Rating ScalesTreatment OutcomeDepressionGeneral practiceIdentification of depressionPrimary Health Care

Identifiers

PMID33962564
PMCPMC8105936

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Registered trials

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.