Evidence map›Paper›PMID 30416227›Full record

ArticleMotivation and emotion2018

Testing the Integral Model of treatment motivation in outpatients with severe mental illness.

E C Jochems, H J Duivenvoorden, A van Dam, C L Mulder, C M van der Feltz-Cornelis

Open access · hybridAbstract read
In one paragraph

Article in Motivation and emotion, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.1field-weighted citation impact, top 20% of its field
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

1 citing paper in PubMed, 5 citations in OpenAlex.

  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

5 authors at 2 institutions in 2 countries.

E C JochemsDepartment of Psychiatry, Erasmus MC University Medical Center, Epidemiological and Social Psychiatric Research Institute, Rotterdam, The Netherlands.ORCID 0000-0002-7466-9976
H J Duivenvoorden3Erasmus MC University Medical Center, Rotterdam, The Netherlands.
A van Dam4Tranzo Department, Faculty of Social Sciences, Tilburg University, Tilburg, The Netherlands.
C L MulderDepartment of Psychiatry, Erasmus MC University Medical Center, Epidemiological and Social Psychiatric Research Institute, Rotterdam, The Netherlands.
C M van der Feltz-Cornelis4Tranzo Department, Faculty of Social Sciences, Tilburg University, Tilburg, The Netherlands.
Erasmus MC · NLTilburg University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current study tested the Integral Model of treatment motivation (IM) in a sample of 294 outpatients with severe mental illness, using structural equation modelling. The obtained structural model was not consistent with original theory, nor was the model invariant across time and patient groups (psychotic disorders and personality disorders). The patient's perceived suitability of treatment, perceived costs of treatment and outcome expectancy were most strongly associated with motivation and treatment engagement. The model explained between 22 and 86% of variance in clinical outcomes, depending on the timing of the assessment. Currently, the IM does not constitute a robust framework for patterns through which patients become motivated to engage in treatment, but does explain substantial amounts of variance in clinical outcomes. The future potential of IM as a basis for interventions in the mental health care is discussed, including suggestions for subsequent research and potential alterations of the IM to improve its utility for application in clinical practice.

Indexed as

MotivationPersonality disordersPsychotic disordersStructural equation modelTheory

Identifiers

PMID30416227
PMCPMC6208637
OpenAlexW2808134463

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.