Evidence map›Paper›PMID 42625237›Full record

ArticleBMC psychology2026

Clinicians' practices and attitudes toward depression assessment: a cross-sectional survey study.

Damon Navandi, Veerle C Eijsbroek, Clara Wiebel, Aaron Marker, Katarina Kjell, Marc L Molendijk, Elizabeth C Stade, Oscar N E Kjell

Abstract read
In one paragraph

Article in BMC psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Damon NavandiLund University, Lund, Sweden. damon.navandi@gmail.com.ORCID https://orcid.org/0009-0005-4730-3847
Veerle C EijsbroekLund University, Lund, Sweden.
Clara WiebelLund University, Lund, Sweden.
Aaron MarkerVanderbilt University, Nashville, TN, USA.
Katarina KjellLund University, Lund, Sweden.
Marc L MolendijkLeiden University, Leiden, Netherlands.
Elizabeth C StadeStanford University, Stanford, CA, USA.
Oscar N E KjellLund University, Lund, Sweden. oscar.kjell@psy.lu.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate psychological evaluation is crucial for early detection, intervention and evaluation of mental health disorders. The validity and reliability of psychological evaluation methods have been systematically researched for many decades. However, assessment methods used by mental health professionals in clinical settings have not consistently been empirically documented. This study examines the extent to which standardized assessment methods are used in clinical settings, and clinicians' attitudes toward these practices. Clinicians (N = 585) from the U.S. (25%), the U.K. (28%), the Netherlands (18%), Sweden (22%), and other countries (7%) completed an online survey reporting their depression assessment methods. Clinicians reported using many different data collection methods (e.g., unstructured clinical interviews [83%], rating scales [83%]) in various combinations. A majority (80%) primarily employed clinical data combination methods, as opposed to statistical data combination methods (11%). Although they were confident in their assessments, the time to carry out assessments varied widely (M = 87 [SD = 108] minutes). 77% agreed on the importance of standardized, valid, and reliable assessments, and 43% reported interest in receiving AI decision-support. We did not find many significant cross-cultural differences. A majority of clinicians have not fully adopted standardized assessment methods. Predominant reliance on clinical judgment suggests a disconnect between best practices supported by research and everyday clinical practice.

Indexed as

Attitude of Health PersonnelDepressionAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedSurveys and QuestionnairesUnited StatesArtificial intelligenceClinical assessmentDepressionStatistical modelsStructured methods

Identifiers

PMID42625237
PMCPMC13491592

What OpenQuestion holds

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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.