Evidence map›Paper›PMID 25893687›Full record

ArticlePloS one2015

Predictors of Symptomatic Change and Adherence in Internet-Based Cognitive Behaviour Therapy for Social Anxiety Disorder in Routine Psychiatric Care.

Samir El Alaoui, Brjánn Ljótsson, Erik Hedman, Viktor Kaldo, Evelyn Andersson, Christian Rück, Gerhard Andersson, Nils Lindefors

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 5 pooled it
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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

49 citing papers in PubMed, 5 syntheses or guidelines 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

8 authors.

Samir El AlaouiDepartment of Clinical Neuroscience, Division of Psychiatry, Karolinska Institutet, Stockholm, Sweden.
Brjánn LjótssonDepartment of Clinical Neuroscience, Division of Psychiatry, Karolinska Institutet, Stockholm, Sweden; Department of Clinical Neuroscience, Division of Psychology, Karolinska Institutet, Stockholm, Sweden.
Erik HedmanDepartment of Clinical Neuroscience, Division of Psychiatry, Karolinska Institutet, Stockholm, Sweden; Department of Clinical Neuroscience, Osher Center for Integrative Medicine, Karolinska Institutet, Stockholm, Sweden; Department of Clinical Neuroscience, Division of Psychology, Karolinska Institutet, Stockholm, Sweden.
Viktor KaldoDepartment of Clinical Neuroscience, Division of Psychiatry, Karolinska Institutet, Stockholm, Sweden.
Evelyn AnderssonDepartment of Clinical Neuroscience, Division of Psychiatry, Karolinska Institutet, Stockholm, Sweden.
Christian RückDepartment of Clinical Neuroscience, Division of Psychiatry, Karolinska Institutet, Stockholm, Sweden.
Gerhard AnderssonDepartment of Clinical Neuroscience, Division of Psychiatry, Karolinska Institutet, Stockholm, Sweden; Department of Behavioural Sciences and Learning, Linköping University, Linköping, Sweden.
Nils LindeforsDepartment of Clinical Neuroscience, Division of Psychiatry, Karolinska Institutet, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveA central goal of health care is to improve patient outcomes. Although several studies have demonstrated the effectiveness of therapist guided internet-based cognitive behaviour therapy (ICBT) for social anxiety disorder (SAD), a significant proportion of patients do not respond to treatment. Consequently, the aim of this study was to identify individual characteristics and treatment program related factors that could help clinicians predict treatment outcomes and adherence for individuals with SAD.

methodThe sample comprised longitudinal data collected during a 4-year period of adult individuals (N = 764) treated for SAD at a public service psychiatric clinic. Weekly self-rated Liebowitz Social Anxiety Scale (LSAS-SR) scores were provided. Rates of symptomatic change during treatment and adherence levels were analysed using multilevel modelling. The following domains of prognostic variables were examined: (a) socio-demographic variables; (b) clinical characteristics; (c) family history of mental illness; and (d) treatment-related factors.

resultsHigher treatment credibility and adherence predicted a faster rate of improvement during treatment, whereas higher overall functioning level evidenced a slower rate of improvement. Treatment credibility was the strongest predictor of greater adherence. Having a family history of SAD-like symptoms was also associated with greater adherence, whereas Attention-Deficit/Hyperactivity Disorder (ADHD)-like symptoms, male gender, and family history of minor depression predicted lower adherence. Also, the amount of therapist time spent per treatment module was negatively associated with adherence.

conclusionsResults from a large clinical sample indicate that the credibility of ICBT is the strongest prognostic factor explaining individual differences in both adherence level and symptomatic improvement. Early screening of ADHD-like symptoms may help clinicians identify patients who might need extra support or an adjusted treatment. Therapist behaviours that promote adherence may be important for treatment response, although more research is needed in order to determine what type of support would be most beneficial.

Indexed as

InternetAdultAnxiety DisordersCognitive Behavioral TherapyDistance CounselingFemaleHumansLongitudinal StudiesMaleMental Health ServicesPatient CompliancePredictive Value of TestsPrognosisSocial ClassSurveys and QuestionnairesTreatment Outcome

Identifiers

PMID25893687
PMCPMC4404057

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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.