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Efficacy of Online Intervention for ADHD: A Meta-Analysis and Systematic Review
BACKGROUND: With the popularity of computers, the internet, and the global spread of COVID-19, more and more attention deficit hyperactivity disorder (ADHD) patients need timely interventions through the internet. At present, there are many online intervention schemes may help these patients. It is...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9274127/ https://www.ncbi.nlm.nih.gov/pubmed/35837629 http://dx.doi.org/10.3389/fpsyg.2022.854810 |
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author | Shou, Songting Xiu, Shengyao Li, Yuanliang Zhang, Ning Yu, Jinglong Ding, Jie Wang, Junhong |
author_facet | Shou, Songting Xiu, Shengyao Li, Yuanliang Zhang, Ning Yu, Jinglong Ding, Jie Wang, Junhong |
author_sort | Shou, Songting |
collection | PubMed |
description | BACKGROUND: With the popularity of computers, the internet, and the global spread of COVID-19, more and more attention deficit hyperactivity disorder (ADHD) patients need timely interventions through the internet. At present, there are many online intervention schemes may help these patients. It is necessary to integrate data to analyze their effectiveness. OBJECTIVES: Our purpose is to integrate the ADHD online interventions trials, study its treatment effect and analyze its feasibility, and provide reference information for doctors in other institutions to formulate better treatment plans. METHODS: We searched PubMed, EMBASE and Cochrane libraries. We didn't limit the start date and end date of search results. Our last search was on December 1, 2021. The keyword is ADHD online therapy. We used the Cochrane bias risk tool to assess the quality of included studies, used the standardized mean difference (SMD) as an effect scale indicator to measure data. Random effects model, subgroup analysis were used to analyze the data. RESULTS: Six randomized controlled trials (RCTs) were identified, including 261 patients with ADHD. These studies showed that online interventions was more effective than waiting list in improving attention deficit and social function of adults and children with ADHD. The attention deficit scores of subjects were calculated in six studies. The sample size of the test group was 123, the sample size of the control group was 133, and the combined SMD was −0.73 (95% confidence interval: −1.01, −0.44). The social function scores of subjects were calculated in six studies. The sample size of the experimental group was 123 and the control group was 133. The combined SMD was −0.59 (95% confidence interval: −0.85, −0.33). CONCLUSIONS: The results show that online interventions of ADHD may be an effective intervention. In the future, we need more online intervention researches to improve the symptoms of different patients, especially for some patients who have difficulties in accepting face-to-face treatment. |
format | Online Article Text |
id | pubmed-9274127 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92741272022-07-13 Efficacy of Online Intervention for ADHD: A Meta-Analysis and Systematic Review Shou, Songting Xiu, Shengyao Li, Yuanliang Zhang, Ning Yu, Jinglong Ding, Jie Wang, Junhong Front Psychol Psychology BACKGROUND: With the popularity of computers, the internet, and the global spread of COVID-19, more and more attention deficit hyperactivity disorder (ADHD) patients need timely interventions through the internet. At present, there are many online intervention schemes may help these patients. It is necessary to integrate data to analyze their effectiveness. OBJECTIVES: Our purpose is to integrate the ADHD online interventions trials, study its treatment effect and analyze its feasibility, and provide reference information for doctors in other institutions to formulate better treatment plans. METHODS: We searched PubMed, EMBASE and Cochrane libraries. We didn't limit the start date and end date of search results. Our last search was on December 1, 2021. The keyword is ADHD online therapy. We used the Cochrane bias risk tool to assess the quality of included studies, used the standardized mean difference (SMD) as an effect scale indicator to measure data. Random effects model, subgroup analysis were used to analyze the data. RESULTS: Six randomized controlled trials (RCTs) were identified, including 261 patients with ADHD. These studies showed that online interventions was more effective than waiting list in improving attention deficit and social function of adults and children with ADHD. The attention deficit scores of subjects were calculated in six studies. The sample size of the test group was 123, the sample size of the control group was 133, and the combined SMD was −0.73 (95% confidence interval: −1.01, −0.44). The social function scores of subjects were calculated in six studies. The sample size of the experimental group was 123 and the control group was 133. The combined SMD was −0.59 (95% confidence interval: −0.85, −0.33). CONCLUSIONS: The results show that online interventions of ADHD may be an effective intervention. In the future, we need more online intervention researches to improve the symptoms of different patients, especially for some patients who have difficulties in accepting face-to-face treatment. Frontiers Media S.A. 2022-06-28 /pmc/articles/PMC9274127/ /pubmed/35837629 http://dx.doi.org/10.3389/fpsyg.2022.854810 Text en Copyright © 2022 Shou, Xiu, Li, Zhang, Yu, Ding and Wang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Shou, Songting Xiu, Shengyao Li, Yuanliang Zhang, Ning Yu, Jinglong Ding, Jie Wang, Junhong Efficacy of Online Intervention for ADHD: A Meta-Analysis and Systematic Review |
title | Efficacy of Online Intervention for ADHD: A Meta-Analysis and Systematic Review |
title_full | Efficacy of Online Intervention for ADHD: A Meta-Analysis and Systematic Review |
title_fullStr | Efficacy of Online Intervention for ADHD: A Meta-Analysis and Systematic Review |
title_full_unstemmed | Efficacy of Online Intervention for ADHD: A Meta-Analysis and Systematic Review |
title_short | Efficacy of Online Intervention for ADHD: A Meta-Analysis and Systematic Review |
title_sort | efficacy of online intervention for adhd: a meta-analysis and systematic review |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9274127/ https://www.ncbi.nlm.nih.gov/pubmed/35837629 http://dx.doi.org/10.3389/fpsyg.2022.854810 |
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