A systematic review and meta-analysis of self-guided online acceptance and commitment therapy as a transdiagnostic self-help intervention

References

• ACBS. (2022, June 9). ACT Randomized Controlled Trials (1986 to present). https://contextualscience.org/act_randomized_controlled_trials_1986_to_present
   Google Scholar
• ACTing with Technology SIG. (2021, October 4). Research and Clinical Trials. ACTing with Technology SIG. https://actingwithtech.wordpress.com/research-and-clinical-trials/
   Google Scholar
• Bai, Z., Luo, S., Zhang, L., Wu, S., & Chi, I. (2020). Acceptance and commitment therapy (ACT) to reduce depression: A systematic review and meta-analysis. Journal of Affective Disorders, 260, 728–737. https://doi.org/10.1016/j.jad.2019.09.040
   PubMed Web of Science ®Google Scholar
• Bangor, A., Kortum, P. T., & Miller, J. T. (2008). An empirical evaluation of the system usability scale. International Journal of Human-Computer Interaction, 24(6), 574–594. https://doi.org/10.1080/10447310802205776
   Web of Science ®Google Scholar
• Baumel, A., Edan, S., & Kane, J. M. (2019). Is there a trial bias impacting user engagement with unguided e-mental health interventions? A systematic comparison of published reports and real-world usage of the same programs. Translational Behavioral Medicine, ibz147. https://doi.org/10.1093/tbm/ibz147
   Google Scholar
• Beintner, I., Vollert, B., Zarski, A.-C., Bolinski, F., Musiat, P., Görlich, D., Ebert, D. D., & Jacobi, C. (2019). Adherence reporting in randomized controlled trials examining manualized multisession online interventions: Systematic review of practices and proposal for reporting standards. Journal of Medical Internet Research, 21(8), e14181. https://doi.org/10.2196/14181
   PubMed Web of Science ®Google Scholar
• Bennett, C. B., Ruggero, C. J., Sever, A. C., & Yanouri, L. (2020). eHealth to redress psychotherapy access barriers both new and old: A review of reviews and meta-analyses. Journal of Psychotherapy Integration, 30(2), 188–207. https://doi.org/10.1037/int0000217
   Web of Science ®Google Scholar
• Borghouts, J., Eikey, E., Mark, G., De Leon, C., Schueller, S. M., Schneider, M., Stadnick, N., Zheng, K., Mukamel, D., & Sorkin, D. H. (2021). Barriers to and facilitators of user engagement with digital mental health interventions: Systematic review. Journal of Medical Internet Research, 23(3), e24387. https://doi.org/10.2196/24387
   PubMed Web of Science ®Google Scholar
• Bricker, J. B., Mull, K. E., McClure, J. B., Watson, N. L., & Heffner, J. L. (2018). Improving quit rates of web-delivered interventions for smoking cessation: Full-scale randomized trial of WebQuit.Org versus smokefree.Gov. Addiction, 113(5), 914–923. https://doi.org/10.1111/add.14127
   PubMed Web of Science ®Google Scholar
• Bricker, J. B., Watson, N. L., Mull, K. E., Sullivan, B. M., & Heffner, J. L. (2020). Efficacy of smartphone applications for smoking cessation: A randomized clinical trial. JAMA Internal Medicine, 180(11), 1472. https://doi.org/10.1001/jamainternmed.2020.4055
   PubMed Web of Science ®Google Scholar
• Brown, M., Glendenning, A., Hoon, A. E., & John, A. (2016). Effectiveness of web-delivered acceptance and commitment therapy in relation to mental health and well-being: A systematic review and meta-analysis. Journal of Medical Internet Research, 18(8), e221. https://doi.org/10.2196/jmir.6200
   PubMed Web of Science ®Google Scholar
• Carl, J. R., Jones, D. J., Lindhiem, O. J., Doss, B. D., Weingardt, K. R., Timmons, A. C., & Comer, J. S. (2022). Regulating digital therapeutics for mental health: Opportunities, challenges, and the essential role of psychologists. British Journal of Clinical Psychology, 61(S1), 130–135. https://doi.org/10.1111/bjc.12286
   PubMedGoogle Scholar
• Casey, L. M., & Clough, B. A. (2015). Making and keeping the connection: Improving consumer attitudes and engagement in e-mental health interventions. In G. Riva, B. K. Wiederhold, & P. Cipresso (Eds.), The psychology of social networking Vol.1: Personal experience in online communities. De Gruyter Open Poland. https://doi.org/10.1515/9783110473780
   Google Scholar
• Casey, L. M., Wright, M.-A., & Clough, B. A. (2014). Comparison of perceived barriers and treatment preferences associated with internet-based and face-to-face psychological treatment of depression. International Journal of Cyber Behavior, Psychology and Learning, 4(4), 16–22. https://doi.org/10.4018/ijcbpl.2014100102
   Google Scholar
• Choi, I., Sharpe, L., Li, S., & Hunt, C. (2015). Acceptability of psychological treatment to Chinese- and Caucasian-Australians: Internet treatment reduces barriers but face-to-face care is preferred. Social Psychiatry and Psychiatric Epidemiology, 50(1), 77–87. https://doi.org/10.1007/s00127-014-0921-1
   PubMed Web of Science ®Google Scholar
• Cochran, W. G. (1954). Some methods for strengthening the common χ 2 tests. Biometrics, 10(4), 417. https://doi.org/10.2307/3001616
   Web of Science ®Google Scholar
• Cuijpers, P., Noma, H., Karyotaki, E., Cipriani, A., & Furukawa, T. A. (2019). Effectiveness and acceptability of cognitive behavior therapy delivery formats in adults with depression: A network meta-analysis. JAMA Psychiatry, 76(7), 700. https://doi.org/10.1001/jamapsychiatry.2019.0268
   PubMed Web of Science ®Google Scholar
• Czeisler, M. É., Lane, R. I., Petrosky, E., Wiley, J. F., Christensen, A., Njai, R., Weaver, M. D., Robbins, R., Facer-Childs, E. R., Barger, L. K., Czeisler, C. A., Howard, M. E., & Rajaratnam, S. M. W. (2020). Mental health, substance use, and suicidal ideation during the COVID-19 pandemic—United States. MMWR Morbidity and Mortality Weekly Report, 69 (32), 1049–1057. June 24–30, 2020. https://doi.org/10.15585/mmwr.mm6932a1.
   PubMed Web of Science ®Google Scholar
• Dorsey, E. R., “Yvonne Chan, Y. -F., McConnell, M. V., Shaw, S. Y., Trister, A. D., & Friend, S. H. (2017). The use of smartphones for health research. Academic Medicine, 92(2), 157–160. https://doi.org/10.1097/ACM.0000000000001205
   PubMed Web of Science ®Google Scholar
• Ebert, D. D., Van Daele, T., Nordgreen, T., Karekla, M., Compare, A., Zarbo, C., Brugnera, A., Øverland, S., Trebbi, G., Jensen, K. L., Kaehlke, F., & Baumeister, H. (2018). Internet- and mobile-based psychological interventions: Applications, efficacy, and potential for improving mental health: A report of the efpa e-health taskforce. European Psychologist, 23(2), 167–187. https://doi.org/10.1027/1016-9040/a000318
   Web of Science ®Google Scholar
• Fleming, T., Bavin, L., Lucassen, M., Stasiak, K., Hopkins, S., & Merry, S. (2018). Beyond the trial: Systematic review of real-world uptake and engagement with digital self-help interventions for depression, low mood, or anxiety. Journal of Medical Internet Research, 20(6), e199. https://doi.org/10.2196/jmir.9275
   PubMed Web of Science ®Google Scholar
• French, K., Golijani-Moghaddam, N., & Schröder, T. (2017). What is the evidence for the efficacy of self-help acceptance and commitment therapy? A systematic review and meta-analysis. Journal of Contextual Behavioral Science, 6(4), 360–374. https://doi.org/10.1016/j.jcbs.2017.08.002
   Web of Science ®Google Scholar
• Gloster, A. T., Walder, N., Levin, M. E., Twohig, M. P., & Karekla, M. (2020). The empirical status of acceptance and commitment therapy: A review of meta-analyses. Journal of Contextual Behavioral Science, 18, 181–192. https://doi.org/10.1016/j.jcbs.2020.09.009
   Web of Science ®Google Scholar
• Han, A., & Kim, T. H. (2022). The effects of internet-based acceptance and commitment therapy on process measures: Systematic review and meta-analysis. Journal of Medical Internet Research, 24(8), e39182. https://doi.org/10.2196/39182
   PubMed Web of Science ®Google Scholar
• Harrer, M., Adam, S. H., Baumeister, H., Cuijpers, P., Karyotaki, E., Auerbach, R. P., Kessler, R. C., Bruffaerts, R., Berking, M., & Ebert, D. D. (2019). Internet interventions for mental health in university students: A systematic review and meta-analysis. International Journal of Methods in Psychiatric Research, 28(2), e1759. https://doi.org/10.1002/mpr.1759
   PubMed Web of Science ®Google Scholar
• Hayes, S. C., Strosahl, K. D., & Wilson, K. G. (2012). Acceptance and Commitment Therapy: The Process and Practice of Mindful Change (Second ed.). The Guilford Press.
   Google Scholar
• Heffner, J. L., Vilardaga, R., Mercer, L. D., Kientz, J. A., & Bricker, J. B. (2015). Feature-level analysis of a novel smartphone application for smoking cessation. The American Journal of Drug and Alcohol Abuse, 41(1), 68–73. https://doi.org/10.3109/00952990.2014.977486
   PubMed Web of Science ®Google Scholar
• Herbert, M. S., Dochat, C., Wooldridge, J. S., Materna, K., Blanco, B. H., Tynan, M., Lee, M. W., Gasperi, M., Camodeca, A., Harris, D., & Afari, N. (2022). Technology-supported acceptance and commitment therapy for chronic health conditions: A systematic review and meta-analysis. Behaviour Research and Therapy, 148, 103995. https://doi.org/10.1016/j.brat.2021.103995
   PubMed Web of Science ®Google Scholar
• Higgins, J. P., Li, T., & Deeks, J. J. 2022. Chapter 6: Choosing effect measures and computing estimates of effect. In J. P. Higgins, J. Thomas, J. Chandler, M. Cumpston, T. Li, M. Page, & V. Welch (Eds.), Cochrane handbook for systematic reviews of interventions. version 6.3 (updated February 2022). Cochrane. http://www.training.cochrane.org/handbook
   Google Scholar
• Higgins, J. P. T., & Thompson, S. G. (2002). Quantifying heterogeneity in a meta-analysis. Statistics in Medicine, 21(11), 1539–1558. https://doi.org/10.1002/sim.1186
   PubMed Web of Science ®Google Scholar
• IntHout, J., Ioannidis, J. P. A., Rovers, M. M., & Goeman, J. J. (2016). Plea for routinely presenting prediction intervals in meta-analysis. BMJ Open, 6(7), e010247. https://doi.org/10.1136/bmjopen-2015-010247
   PubMed Web of Science ®Google Scholar
• Kelson, J., Rollin, A., Ridout, B., & Campbell, A. (2019). Internet-delivered acceptance and commitment therapy for anxiety treatment: Systematic review. Journal of Medical Internet Research, 21(1), e12530. https://doi.org/10.2196/12530
   PubMed Web of Science ®Google Scholar
• Levin, M. E., Haeger, J., & Cruz, R. A. (2019). Tailoring acceptance and commitment therapy skill coaching in the moment through smartphones: Results from a randomized controlled trial. Mindfulness, 10(4), 689–699. https://doi.org/10.1007/s12671-018-1004-2
   Web of Science ®Google Scholar
• Levin, M. E., Krafft, J., & Levin, C. (2018). Does self-help increase rates of help seeking for student mental health problems by minimizing stigma as a barrier? Journal of American College Health, 66(4), 302–309. https://doi.org/10.1080/07448481.2018.1440580
   PubMed Web of Science ®Google Scholar
• Levin, M. E., Stocke, K., Pierce, B., & Levin, C. (2017). Do college students use online self-help? A survey of intentions and use of mental health resources. Journal of College Student Psychotherapy, 32(3), 181–198. https://doi.org/10.1080/87568225.2017.1366283
   Web of Science ®Google Scholar
• Linardon, J. (2020). Can acceptance, mindfulness, and self-compassion be learned by smartphone apps? A systematic and meta-analytic review of randomized controlled trials. Behavior Therapy, 51(4), 646–658. https://doi.org/10.1016/j.beth.2019.10.002
   PubMed Web of Science ®Google Scholar
• Linardon, J., & Fuller-Tyszkiewicz, M. (2020). Attrition and adherence in smartphone-delivered interventions for mental health problems: A systematic and meta-analytic review. Journal of Consulting and Clinical Psychology, 88(1), 1–13. https://doi.org/10.1037/ccp0000459
   PubMed Web of Science ®Google Scholar
• Lindhiem, O., Bennett, C. B., Trentacosta, C. J., & McLear, C. (2014). Client preferences affect treatment satisfaction, completion, and clinical outcome: A meta-analysis. Clinical Psychology Review, 34(6), 506–517. https://doi.org/10.1016/j.cpr.2014.06.002
   PubMed Web of Science ®Google Scholar
• Melcher, J., Camacho, E., Lagan, S., & Torous, J. (2020). College student engagement with mental health apps: Analysis of barriers to sustained use. Journal of American College Health, 70(6), 1–7. https://doi.org/10.1080/07448481.2020.1825225
   PubMed Web of Science ®Google Scholar
• Musiat, P., Johnson, C., Atkinson, M., Wilksch, S., & Wade, T. (2021). Impact of guidance on intervention adherence in computerised interventions for mental health problems: A meta-analysis. Psychological Medicine, 52(2), 229–240. https://doi.org/10.1017/S0033291721004621
   PubMed Web of Science ®Google Scholar
• National Center for Health Statistics. (2022, March 23). Mental Health—Household Pulse Survey—COVID-19. https://www.cdc.gov/nchs/covid19/pulse/mental-health.htm
   Google Scholar
• O’Connor, M., Munnelly, A., Whelan, R., & McHugh, L. (2018). The efficacy and acceptability of third-wave behavioral and cognitive ehealth treatments: A systematic review and meta-analysis of randomized controlled trials. Behavior Therapy, 49(3), 459–475. https://doi.org/10.1016/j.beth.2017.07.007
   PubMed Web of Science ®Google Scholar
• Öst, L.-G. (2014). The efficacy of acceptance and commitment therapy: An updated systematic review and meta-analysis. Behaviour Research and Therapy, 61, 105–121. https://doi.org/10.1016/j.brat.2014.07.018
   PubMed Web of Science ®Google Scholar
• R Core Team. (2022). R: A language and environment for statistical computing. R Foundation for Statistical Computing. https://www.R-project.org/
   Google Scholar
• RStudio Team. (2022). RStudio: Integrated development environment for R. RStudio, PBC. http://www.rstudio.com/
   Google Scholar
• Sagon, A. L., Danitz, S. B., Suvak, M. K., & Orsillo, S. M. (2018). The mindful way through the semester: Evaluating the feasibility of delivering an acceptance-based behavioral program online. Journal of Contextual Behavioral Science, 9, 36–44. https://doi.org/10.1016/j.jcbs.2018.06.004
   Web of Science ®Google Scholar
• SAMHSA. (2021). Key Substance Use and Mental Health Indicators in the United States: Results from the 2020 National Survey on Drug Use and Health 156. https://www.samhsa.gov/data/sites/default/files/reports/rpt35325/NSDUHFFRPDFWHTMLFiles2020/2020NSDUHFFR1PDFW102121.pdf
   Google Scholar
• Shim, M., Mahaffey, B., Bleidistel, M., & Gonzalez, A. (2017). A scoping review of human-support factors in the context of internet-based psychological interventions (IPIs) for depression and anxiety disorders. Clinical Psychology Review, 57, 129–140. https://doi.org/10.1016/j.cpr.2017.09.003
   PubMed Web of Science ®Google Scholar
• Sierra, M. A., Ruiz, F. J., Universitaria Konrad Lorenz, F., & Flórez, C. L. (2018). A systematic review and meta-analysis of third-wave online interventions for depression. Revista Latinoamericana de Psicología, 50(2), 126–135. https://doi.org/10.14349/rlp.2018.v50.n2.6
   Web of Science ®Google Scholar
• Stawarz, K., Preist, C., & Coyle, D. (2019). Use of smartphone apps, social media, and web-based resources to support mental health and well-being: Online survey. JMIR Mental Health, 6(7), e12546. https://doi.org/10.2196/12546
   PubMed Web of Science ®Google Scholar
• Thompson, E. M., Destree, L., Albertella, L., & Fontenelle, L. F. (2021). Internet-based acceptance and commitment therapy: A transdiagnostic systematic review and meta-analysis for mental health outcomes. Behavior Therapy, 52(2), 492–507. https://doi.org/10.1016/j.beth.2020.07.002
   PubMed Web of Science ®Google Scholar
• Torous, J., Levin, M. E., Ahern, D. K., & Oser, M. L. (2017). Cognitive behavioral mobile applications: Clinical studies, marketplace overview, and research agenda. Cognitive and Behavioral Practice, 24(2), 215–225. https://doi.org/10.1016/j.cbpra.2016.05.007
   Web of Science ®Google Scholar
• Viechtbauer, W. (2010). Conducting meta-analyses in R with the meta for package. Journal of Statistical Software, 36(3). https://doi.org/10.18637/jss.v036.i03
   Google Scholar
• Wallin, E., Maathz, P., Parling, T., & Hursti, T. (2018). Self-stigma and the intention to seek psychological help online compared to face-to-face. Journal of Clinical Psychology, 74(7), 1207–1218. https://doi.org/10.1002/jclp.22583
   PubMed Web of Science ®Google Scholar