Evidence map›Paper›PMID 31185975›Full record

Observational studyBMC psychiatry2019

The decision tool unipolar depression (DTUD): a new measure to facilitate the early identification of patients with major depressive disorder in need of highly specialized care.

Frédérique C W van Krugten, Maartje Goorden, Anton J L M van Balkom, Patricia van Oppen, Henricus G Ruhé, Digna J F van Schaik, Werner B F Brouwer, Leona Hakkaart-van Roijen, Decision Tool Unipolar Depression Consortium

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in BMC psychiatry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
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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

9 authors.

Frédérique C W van KrugtenErasmus School of Health Policy & Management, Erasmus University Rotterdam, PO Box 1738, 3000, DR, Rotterdam, The Netherlands. vankrugten@eshpm.eur.nl.ORCID 0000-0001-8592-3581
Maartje GoordenErasmus School of Health Policy & Management, Erasmus University Rotterdam, PO Box 1738, 3000, DR, Rotterdam, The Netherlands.
Anton J L M van BalkomDepartment of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Patricia van OppenDepartment of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Henricus G RuhéDepartment of Psychiatry, Academic Medical Center, Amsterdam, The Netherlands.
Digna J F van SchaikDepartment of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Werner B F BrouwerErasmus School of Health Policy & Management, Erasmus University Rotterdam, PO Box 1738, 3000, DR, Rotterdam, The Netherlands.
Leona Hakkaart-van RoijenErasmus School of Health Policy & Management, Erasmus University Rotterdam, PO Box 1738, 3000, DR, Rotterdam, The Netherlands.
Decision Tool Unipolar Depression Consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSelection of the optimal initial treatment in patients with major depressive disorder (MDD) in need of highly specialized care has the potential to benefit treatment outcomes and cost-effectiveness of treatment strategies. However, to date, there is a paucity of measures that could guide the selection of the initial treatment, in particular to indicate which patients with MDD are in need of highly specialized care. Recognizing this gap, this paper reports on the development and psychometric evaluation of the Decision Tool Unipolar Depression (DTUD), aimed to facilitate the early identification of patients with MDD in need of highly specialized care.

methodsThe DTUD was developed using a mixed-methods approach, consisting of a systematic review and a concept mapping study. To evaluate the psychometric features of the DTUD, a cross-sectional multicenter study was conducted. A total of 243 patients with MDD were evaluated with the DTUD. Feasibility was operationalized as the time required to complete the DTUD and the content clarity of the DTUD. Inter-rater reliability was evaluated using Krippendorf's alpha. The Maudsley Staging Method (MSM) and the Dutch Measure for quantification of Treatment Resistance in Depression (DM-TRD) were administered to assess the convergent validity. A receiver operator characteristic curve was generated to evaluate the criterion validity and establish the optimal cut-off value.

resultsThe mean administration time was 4.49 min (SD = 2.71), and the content of the total DTUD was judged as clear in 94.7% of the evaluations. Inter-rater reliability values ranged from 0.69 to 0.91. Higher scores on the DTUD were associated with higher scores on the MSM (r

conclusionThe DTUD demonstrated to be a tool with solid psychometric properties and, therefore, is a promising measure for the early identification of patients with MDD in need of highly specialized care. Use of the DTUD has the potential to facilitate the selection and initiation of the optimal initial treatment in patients with MDD, which in turn may improve the clinical effectiveness and cost-effectiveness of treatment strategies.

Indexed as

AdolescentAdultAgedClinical Decision-MakingCross-Sectional StudiesDepressive DisorderFemaleHumansMajor Depressive DisorderMaleMiddle AgedNetherlandsPsychiatric Status Rating ScalesReproducibility of ResultsTreatment OutcomeYoung AdultDepressionEarly interventionMajor depressive disorderMeasurementPsychometricsTertiary healthcareTreatment stratificationValidation

Identifiers

PMID31185975
PMCPMC6560755

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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.