Evidence map›Paper›PMID 28114913›Full record

Observational studyBMC psychiatry2017

Recovery and decision-making involvement in people with severe mental illness from six countries: a prospective observational study.

Sabine Loos, Eleanor Clarke, Harriet Jordan, Bernd Puschner, Andrea Fiorillo, Mario Luciano, Tibor Ivánka, Erzsébet Magyar, Malene Krogsgaard-Bording, Helle Østermark-Sørensen and 5 more

Abstract readObservational Study
In one paragraph

Observational study in BMC psychiatry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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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

15 authors.

Sabine LoosSection Process-Outcome Research, Department of Psychiatry II, Ulm University, Ludwig-Heilmeyer-Str. 2, D-89312, Günzburg, Germany. sabine.loos@bkh-guenzburg.de.
Eleanor ClarkeKing's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK.
Harriet JordanKing's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK.
Bernd PuschnerSection Process-Outcome Research, Department of Psychiatry II, Ulm University, Ludwig-Heilmeyer-Str. 2, D-89312, Günzburg, Germany.
Andrea FiorilloDepartment of Psychiatry, University of Naples SUN, Naples, Italy.
Mario LucianoDepartment of Psychiatry, University of Naples SUN, Naples, Italy.
Tibor IvánkaDepartment of Psychiatry, University of Debrecen Medical Centre, Debrecen, Hungary.
Erzsébet MagyarDepartment of Psychiatry, University of Debrecen Medical Centre, Debrecen, Hungary.
Malene Krogsgaard-BordingUnit for Psychiatric Research, Aalborg Psychiatric Hospital, Aalborg University Hospital, Aalborg, Denmark.
Helle Østermark-SørensenUnit for Psychiatric Research, Aalborg Psychiatric Hospital, Aalborg University Hospital, Aalborg, Denmark.
Wulf RösslerPsychiatric Hospital, University of Zurich, Zurich, Switzerland.
Wolfram KawohlPsychiatric Hospital, University of Zurich, Zurich, Switzerland.
Benjamin MayerInstitute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany.
Mike SladeKing's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK.
CEDAR Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClinical decision-making is the vehicle of health care provision, and level of involvement predicts implementation and satisfaction. The aim of this study was to investigate the impact of decision-making experience on recovery.

methodsData derived from an observational cohort study "Clinical decision making and outcome in routine care for people with severe mental illness" (CEDAR). Adults (aged 18-60) meeting standardised criteria for severe mental illness were recruited from caseloads of outpatient and community mental health services in six European countries. After consenting, they were assessed using standardised measures of decision-making, clinical outcome and stage of recovery at baseline and 1 year later. Latent class analysis was used to identify course of recovery, and proportional odds models to investigate predictors of recovery stage and change.

resultsParticipants (n = 581) clustered into three stages of recovery at baseline: Moratorium (N = 115; 19.8%), Awareness/Preparation (N = 145; 25.0%) and Rebuilding/Growth (N = 321; 55.2%). Higher stage was cross-sectionally associated with being male, married, living alone or with parents, and having better patient-rated therapeutic alliance and fewer symptoms. The model accounted for 40% of the variance in stage of recovery. An increased chance of worse outcome (change over 1 year to lower stage of recovery) was found for patients with active involvement compared with either shared (OR = 1.84, 95% CI 1.15-2.94) or passive (OR = 1.71, 95% CI = 1.00-2.95) involvement. Overall, both process (therapeutic relationship) and outcome (symptomatology) are cross-sectionally associated with stage of recovery.

conclusionsPatient-rated decision-making involvement and change in stage of recovery are associated. Joint consideration of decision practise within the recovery process between patient and clinician is supposed to be a useful strategy to improve clinical practice (ISRCTN registry: ISRCTN75841675. Retrospectively registered 15 September 2010).

Indexed as

Clinical Decision-MakingOutcome and Process Assessment, Health CareAdultEuropeFemaleHumansMaleMental DisordersPatient ParticipationProspective StudiesYoung AdultClinical decision makingMultinational health service researchPatient involvementRecoveryRoutine mental health servicesSevere mental illness (SMI)

Identifiers

PMID28114913
PMCPMC5260092

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.