Evidence map›Paper›PMID 33126873›Full record

Trial reportBMC psychiatry2020

Exploring mediators of the recovery process over time among mental health service users, using a mixed model regression analysis based on cluster RCT data.

Elisabeth Argentzell, Martin Bäckström, Kristine Lund, Mona Eklund

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02619318 (Balancing Everyday Life - A Lifestyle Intervention for People With Psychiatric Disorders), which is not on this map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
5.7field-weighted citation impact, top 4% 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.

NCT02619318 nacompletednot on this map

Balancing Everyday Life - A Lifestyle Intervention for People With Psychiatric Disorders

TypeinterventionalSponsorLund UniversityRan2013 to 2019Enrolled223ConditionsMajor Psychiatric DisorderArmsBalancing Everyday Life (BEL), Care as usual (generally standard occupational therapy)
3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Elisabeth ArgentzellLund University, Department of Health Sciences, the Mental Health, Activity and Participation (MAP) group, Box 157, 221 00, Lund, Sweden. elisabeth.argentzell@med.lu.se.ORCID 0000-0002-9405-4418
Martin BäckströmLund University, Department of Psychology, Box 213, 221 00 Lund, Sweden.
Kristine LundLund University, Department of Health Sciences, the Mental Health, Activity and Participation (MAP) group, Box 157, 221 00, Lund, Sweden.
Mona EklundLund University, Department of Health Sciences, the Mental Health, Activity and Participation (MAP) group, Box 157, 221 00, Lund, Sweden.
Lund University · SE

Funding

Swedish Research Council Reg. No. K2014-99X-20067-09-4
6 · The paper itself

Abstract

backgroundPersonal recovery is associated with many significant health-related factors, but studies exploring associations between activity factors and personal recovery among service users are scarce. The aims of this study were hence to; 1) investigate if various aspects of activity may mediate change in recovery while also acknowledging clinical, sociodemographic and well-being factors; 2) explore the effects of two activity-based interventions, Balancing Everyday Life (BEL) or standard occupational therapy (SOT), on personal recovery among service users.

methodsTwo-hundred-and-twenty-six service users were included in a cluster RCT, 133 from BEL units and 93 from SOT units. Participants commonly had a diagnosis of mood disorder and the mean age was 40. Instruments used targeted activity, mastery and functioning. A mixed-model regression analysis was employed.

resultsThe model tested was whether selected variables could be used to mediate the change in recovery from the start to a six-month follow-up after intervention. Participants' personal recovery increased after treatment and increased further at the follow-up. The general level of recovery was negatively related to a diagnosis of depression/anxiety, both before and after treatment, but depressed/anxious service users still increased their recovery. There were no significant relations between recovery and sex or age. The interactions between change in recovery and changes in depression/anxiety, satisfaction with activities, sex, and age were all non-significant. All possible treatment mediators included were related to change in recovery, the strongest being occupational engagement and mastery, followed by activity satisfaction and symptoms. Mediation was shown by the decrease in the effect of the time factor (from intervention start to completion) when the covariates were introduced. In all cases the time variable was still significant. When testing a model with all variables simultaneously as covariates, occupational engagement and mastery were strongly significant. There was no difference between interventions regarding recovery improvement.

conclusionThe treatments were equally beneficial and were effective regardless of gender, age and diagnosis. Those who gained most from the treatment also gained in feelings of mastery and activity engagement. Activity engagement also moderated the level of recovery. To enhance recovery, interventions should facilitate meaningful activities and gaining control in life.

trial registrationThe study was registered with ClinicalTrials.gov . Reg. No. NCT02619318 . Retrospectively registered: December 2, 2015.

Indexed as

Mental Health ServicesOccupational TherapyAdultHumansRegression AnalysisActivities of daily livingMental illnessRecovery

Identifiers

PMID33126873
PMCPMC7602343
OpenAlexW3096537202

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.