Evidence map›Paper›PMID 29298721›Full record

ArticleBMC research notes2018

One consensual depression diagnosis tool to serve many countries: a challenge! A RAND/UCLA methodology.

P Nabbe, J Y Le Reste, M Guillou-Landreat, E Beck-Robert, R Assenova, D Lazic, S Czachowski, S Stojanović-Špehar, M Hasanagic, H Lingner and 10 more

Abstract read
In one paragraph

Article in BMC research notes, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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.

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

7 citing papers in PubMed.

  1. Article
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  3. Review
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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

20 authors.

P NabbeEA 7479 SPURBO, Department of General Practice, Université de Bretagne Occidentale, Brest, France. patrice.nabbe@univ-brest.fr.ORCID http://orcid.org/0000-0002-2489-6476
J Y Le ResteEA 7479 SPURBO, Department of General Practice, Université de Bretagne Occidentale, Brest, France.
M Guillou-LandreatEA 7479 SPURBO, Department of Addictology, Université de Bretagne Occidentale, Brest, France.
E Beck-RobertEA 7479 SPURBO, Department of General Practice, Université de Bretagne Occidentale, Brest, France.
R AssenovaDepartment of General Practice, Medical University of Plovdiv, Faculty of Medicine, Plovdiv, Bulgaria.
D LazicDepartment of Family Medicine "Andrija Stampar", School of Public Health, School of Medicine, University of Zagreb, Zagreb, Croatia.
S CzachowskiDepartment of Family Doctor, University Nicolaus Copernicus, Torun, Poland.
S Stojanović-ŠpeharDepartment of Family Medicine "Andrija Štampar" School of Public Health, University of Zagreb, Zagreb, Croatia.
M HasanagicDepartment of General Practice, University of Sarajevo, Sarajevo, Bosnia and Herzegovina.
H LingnerAllgemein Medizin Hochschule Hannover, Hannover, Germany.
A ClaveríaGalician Health Services, Instituto de Investigación Sanitaria Galicia Sur, Vigo, Spain.
M I Fernandez San MartinIDIAP Jordi GOL Unitat de Support a la Recerca, Barcelona, Spain.
A SowinskaDepartment of English, Nicolaus Copernicus University, Torun, Poland.
S ArgyriadouThe Greek Association of General Practitioners (ELEGEIA), Thessaloniki, Greece.
C LygidakisInstitute for Health and Behaviour, Research Unit INSIDE, University of Luxembourg, Luxembourg, Luxembourg.
B Le FlochEA 7479 SPURBO, Department of General Practice, Université de Bretagne Occidentale, Brest, France.
C DoerrAllgemein Medizin Hochschule Göttingen, Göttingen, Germany.
T MontierUnite INSERM 1078, SFR 148 ScInBioS, Faculté de Médecine, Université de Bretagne Occidentale, Université Européenne de Bretagne, 22 Avenue Camille Desmoulins, 29238, Brest Cedex 2, France.
H Van MarwijkDivision of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Williamson Building, Oxford Road, Manchester, M13 9PL, UK.
P Van RoyenDepartment of Primary and Interdisciplinary Care, Faculty of Medicine and Health Sciences, Universiteit Antwerpen, Antwerp, Belgium.

Funding

EGPRN 8000
6 · The paper itself

Abstract

objectiveFrom a systematic literature review (SLR), it became clear that a consensually validated tool was needed by European General Practitioner (GP) researchers in order to allow multi-centred collaborative research, in daily practice, throughout Europe. Which diagnostic tool for depression, validated against psychiatric examination according to the DSM, would GPs select as the best for use in clinical research, taking into account the combination of effectiveness, reliability and ergonomics? A RAND/UCLA, which combines the qualities of the Delphi process and of the nominal group, was used. GP researchers from different European countries were selected. The SLR extracted tools were validated against the DSM. The Youden index was used as an effectiveness criterion and Cronbach's alpha as a reliability criterion. Ergonomics data were extracted from the literature. Ergonomics were tested face-to-face.

resultsThe SLR extracted 7 tools. Two instruments were considered sufficiently effective and reliable for use: the Hospital Anxiety and Depression Scale and the Hopkins Symptoms Checklist-25 (HSCL-25). After testing face-to-face, HSCL-25 was selected. A multicultural consensus on one diagnostic tool for depression was obtained for the HSCL-25. This tool will provide the opportunity to select homogeneous populations for European collaborative research in daily practice.

Indexed as

ConsensusDelphi TechniqueDepressionDepressive DisorderEuropeHumansPsychiatric Status Rating ScalesDelphi procedureDepression diagnosis toolMulticultural consensusRAND/UCLA appropriateness method

Identifiers

PMID29298721
PMCPMC5751826

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.