Previously submitted to: Journal of Medical Internet Research (no longer under consideration since Jan 17, 2022)
Date Submitted: Jan 3, 2022
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Characteristics and trends in acceptance and commitment therapy research: A bibliometric analysis
ABSTRACT
Background:
As acceptance and commitment therapy become mainstream and important papers appear, it’s essential to map the global collaborative network.
Objective:
This work aims to map a comprehensive insight into the development track, key themes, and future landscape of acceptance and commitment therapy research.
Methods:
Excel 2019, VOSviewer and CiteSpace software were used to conduct a bibliometric analysis of publications from the Web of Science before August 13, 2021.
Results:
799 articles in 314 journals contributed by 2862 authors from 958 institutions in 52 countries are identified. The number of publications has increased significantly since 2015. The United States/Utah State University is the most productive country /institution; Karolinska Institute, Utah State University, and King's College London are the most significant nodes. Twohig MP, Hayes SC, and Levin ME are the most influential authors. Keyword co-occurrence analysis found the curative mechanism, using network technology or mobile technology as adjuvant therapy, reducing psychological diseases of cancer patients are potential terms.
Conclusions:
Acceptance and commitment therapy can be used in psychotherapy for different patients, especially in treating depression and anxiety. Using mobile network technology to implement it can enhance the curative effect. Global cooperation needs to strengthen, especially from developing countries. We recommend researchers and nursing managers use acceptance and commitment therapy to study other different diseases or psychological patients.
Citation
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.