Data

Efficacy of Psychological Interventions for Selective Mutism in Children: A Meta-Analysis of Randomized Controlled Trials

University of New England, Australia
Steains, Sophie ; Malouff, John ; Schutte, Nicola
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25952/5fb6dfbf5a486&rft.title=Efficacy of Psychological Interventions for Selective Mutism in Children: A Meta-Analysis of Randomized Controlled Trials&rft.identifier=10.25952/5fb6dfbf5a486&rft.publisher=University of New England&rft.description=This dataset is the basis for a meta-analysis done on Comprehensive Meta-Analysis software version 2.2.064. The related abstract of the study follows.Objective: Selective mutism is a rare childhood anxiety disorder characterized by a consistent failure to speak in certain social situations where speech is expected, despite fluent speech in other situations. The purpose of this meta-analysis was to investigate the efficacy of psychological interventions for selective mutism in randomized controlled trials (RCTs). Method: Five RCTs with a total of 233 participants were analyzed using a random-effects model. A quality assessment of the included studies revealed that psychometrically-sound measures and treatment manuals were used across all studies. Conclusions: The results of the analyses showed psychological interventions to be more effective than no treatment, with the overall weighted effect size of g = 0.87, indicating a large mean treatment effect. This effect did not significantly differ whether only selective mutism specific or non-selective mutism specific measures were included in the analysis. These findings provide support for the efficacy of psychological treatment for selective mutism. Future research could examine the effects of the successful treatments identified in this meta-analysis when compared with a psychological placebo or another bona fide treatment.&rft.creator=Steains, Sophie &rft.creator=Malouff, John &rft.creator=Schutte, Nicola &rft.date=2020&rft_rights= http://creativecommons.org/licenses/by-nc-sa/4.0/&rft_rights=&rft_rights=Rights holder: John Malouff&rft_subject=Health, Clinical and Counselling Psychology&rft_subject=PSYCHOLOGY AND COGNITIVE SCIENCES&rft_subject=PSYCHOLOGY&rft_subject=Mental Health Services&rft_subject=HEALTH&rft_subject=HEALTH AND SUPPORT SERVICES&rft_subject=Clinical psychology&rft_subject=Clinical and health psychology&rft_subject=PSYCHOLOGY&rft_subject=Health psychology&rft_subject=Mental health services&rft_subject=Provision of health and support services&rft_subject=HEALTH&rft.type=dataset&rft.language=English Access the data

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jmalouff@une.edu.au

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This dataset is the basis for a meta-analysis done on Comprehensive Meta-Analysis software version 2.2.064. The related abstract of the study follows.
Objective: Selective mutism is a rare childhood anxiety disorder characterized by a consistent failure to speak in certain social situations where speech is expected, despite fluent speech in other situations. The purpose of this meta-analysis was to investigate the efficacy of psychological interventions for selective mutism in randomized controlled trials (RCTs). Method: Five RCTs with a total of 233 participants were analyzed using a random-effects model. A quality assessment of the included studies revealed that psychometrically-sound measures and treatment manuals were used across all studies. Conclusions: The results of the analyses showed psychological interventions to be more effective than no treatment, with the overall weighted effect size of g = 0.87, indicating a large mean treatment effect. This effect did not significantly differ whether only selective mutism specific or non-selective mutism specific measures were included in the analysis. These findings provide support for the efficacy of psychological treatment for selective mutism. Future research could examine the effects of the successful treatments identified in this meta-analysis when compared with a psychological placebo or another bona fide treatment.

Issued: 2020-11-11

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