Evidence map›Paper›PMID 29575387›Full record

ArticleDepression and anxiety2018

Indicators to facilitate the early identification of patients with major depressive disorder in need of highly specialized care: A concept mapping study.

F C W van Krugten, M Goorden, A J L M van Balkom, J Spijker, W B F Brouwer, L Hakkaart-van Roijen, Decision Tool Unipolar Depression Consortium

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Article in Depression and anxiety, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed, 1 synthesis or guideline 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

7 authors.

F C W van KrugtenErasmus School of Health Policy & Management, Erasmus University Rotterdam, Rotterdam, The Netherlands.ORCID 0000-0001-8592-3581
M GoordenErasmus School of Health Policy & Management, Erasmus University Rotterdam, Rotterdam, The Netherlands.
A J L M van BalkomDepartment of Psychiatry, VU University Medical Center, Amsterdam, The Netherlands.
J SpijkerBehavioural Science Institute, Radboud University Medical Center, Nijmegen, The Netherlands.
W B F BrouwerErasmus School of Health Policy & Management, Erasmus University Rotterdam, Rotterdam, The Netherlands.
L Hakkaart-van RoijenErasmus School of Health Policy & Management, Erasmus University Rotterdam, Rotterdam, The Netherlands.
Decision Tool Unipolar Depression Consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly identification of the subgroup of patients with major depressive disorder (MDD) in need of highly specialized care could enhance personalized intervention. This, in turn, may reduce the number of treatment steps needed to achieve and sustain an adequate treatment response. The aim of this study was to identify patient-related indicators that could facilitate the early identification of the subgroup of patients with MDD in need of highly specialized care.

methodsInitial patient indicators were derived from a systematic review. Subsequently, a structured conceptualization methodology known as concept mapping was employed to complement the initial list of indicators by clinical expertise and develop a consensus-based conceptual framework. Subject-matter experts were invited to participate in the subsequent steps (brainstorming, sorting, and rating) of the concept mapping process. A final concept map solution was generated using nonmetric multidimensional scaling and agglomerative hierarchical cluster analyses.

resultsIn total, 67 subject-matter experts participated in the concept mapping process. The final concept map revealed the following 10 major clusters of indicators: 1-depression severity, 2-onset and (treatment) course, 3-comorbid personality disorder, 4-comorbid substance use disorder, 5-other psychiatric comorbidity, 6-somatic comorbidity, 7-maladaptive coping, 8-childhood trauma, 9-social factors, and 10-psychosocial dysfunction.

conclusionsThe study findings highlight the need for a comprehensive assessment of patient indicators in determining the need for highly specialized care, and suggest that the treatment allocation of patients with MDD to highly specialized mental healthcare settings should be guided by the assessment of clinical and nonclinical patient factors.

Indexed as

AdultFemaleHumansMajor Depressive DisorderMaleMiddle Ageddepressive disorderdisease managementmajorprecision medicinetertiary healthcare

Identifiers

PMID29575387
PMCPMC6282616

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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.