A Review of Mobile Applications for Facilitating EMDR Treatment of Complex Trauma and Its Comorbidities
Open accessAbstract
With the continued advancement in technology, there is a rise in the development and utilization of mobile health applications (mHealth apps) that claim to be using eye movement desensitization and reprocessing (EMDR) theory and techniques to facilitate the therapeutic process. However, there are concerns regarding the quality of these apps and the safety of clients who may be using them, particularly for those who may present with complex posttraumatic conditions and associated comorbidities. Hence, this study evaluates current EMDR apps to determine their purpose, potential benefits, and risks when used by clients and/or clinicians. Twelve apps were found to be eligible for evaluation and are rated on applicability, validity, accuracy, and usefulness. Currently, our review concludes that none of the EMDR apps are recommended for use by a client. Only 6 of the 12 apps would be recommended for use by a trained clinician as a tool to aid with EMDR treatment, provided the clinician were able to offer a safe environment that could adapt to the selected technology. Risks of using EMDR apps include safety concerns with unregulated use, particularly for clients with complex posttraumatic stress disorder (PTSD) and comorbid conditions, such as dysregulated emotions or cognitions, and concerns regarding cyber security and data privacy. Clinical implications for the use of technology and mHealth apps are discussed, and recommendations for the development of an ideal EMDR app for the future are provided.
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Marotta-Walters et al. evaluated benefits and risks of apps supporting EMDR therapy when used by clients and/or clinicians.
“For instance, a study of Marotta-Walters et al. was designed to evaluate the bene ts and risks of apps supporting a speci c therapy eye movement desensitization and reprocessing (EMDR) when used by clients and/or clinicians [70].”
From Security and Privacy of mHealth Applications: A Scoping Review (2020) · cites this paper as [70]
Cites
How important are the common factors in psychotherapy? An update
Wampold, B. E. (2015) · World Psychiatry · doi:10.1002/wps.20238 · Cited by 1,728 · cited 1× · see citing works
“According to common factors research, the therapeutic relationship has a significant influence on outcome (Hofmann & Barlow, 2014; Wampold, 2015).”
BackgroundEmotion Modulation in PTSD: Clinical and Neurobiological Evidence for a Dissociative Subtype
Lanius, R. A., Vermetten, E., Loewenstein, R. J., Brand, B., Schmahl, C., Bremner, J. D., & Spiegel, D. (2010) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2009.09081168 · Cited by 1,123 · cited 1× · see citing works
“…co-morbidities or with dysregulated emotions or cognitions, individuals who experience dissociative symptoms may have difficulty benefitting from trauma-focused treatment modalities if the dissociation interferes with the crucial stage of processing traumatic memories (Lanius et al., 2010).”
BackgroundMobile medical and health apps: state of the art, concerns, regulatory control and certification
Kamel Boulos, M. N., Brewer, A. C., Karimkhani, C., Buller, D. B., & Dellavalle, R. P. (2014) · Online Journal of Public Health Informatics · doi:10.5210/ojphi.v5i3.4814 · Cited by 659 · see citing works
Nonresponse and Dropout Rates in Outcome Studies on PTSD: Review and Methodological Considerations
Schottenbauer, M. A., Glass, C. R., Arnkoff, D. B., Tendick, V., & Gray, S. H. (2008) · Psychiatry: Interpersonal and Biological Processes · doi:10.1521/psyc.2008.71.2.134 · Cited by 634 · see citing works
Lanius, R. A., Brand, B., Vermetten, E., Frewen, P. A., & Spiegel, D. (2012) · Depression and Anxiety · doi:10.1002/da.21889 · Cited by 459 · see citing works
Shapiro, F. (2014) · The Permanente Journal · doi:10.7812/tpp/13-098 · Cited by 373 · see citing works
Finding a Depression App: A Review and Content Analysis of the Depression App Marketplace
Shen, N., Levitan, M.-J., Johnson, A., Bender, J. L., Hamilton-Page, M., Jadad, A. (. R., & Wiljer, D. (2015) · JMIR mHealth and uHealth · doi:10.2196/mhealth.3713 · Cited by 282 · see citing works
van den Hout, M. A., & Engelhard, I. M. (2012) · Journal of Experimental Psychopathology · doi:10.5127/jep.028212 · Cited by 247 · see citing works
Van Ameringen, M., Turna, J., Khalesi, Z., Pullia, K., & Patterson, B. (2017) · Depression and Anxiety · doi:10.1002/da.22657 · Cited by 234 · see citing works
Interventions to Reduce Distress in Adult Victims of Rape and Sexual Violence: A Systematic Review
Regehr, C., Alaggia, R., Dennis, J., Pitts, A., & Saini, M. (2013) · Research on Social Work Practice · doi:10.1177/1049731512474103 · Cited by 42 · see citing works
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Security and Privacy of mHealth Applications: A Scoping Review
Nurgalieva, L., O'Callaghan, D., & Doherty, G. (2020) · IEEE Access · doi:10.1109/access.2020.2999934 · Cited by 132 · see citing works
“For instance, some of them are specific to the type of mHealth intervention, such as Eye Movement Desensitization and Reprocessing (EMDR) [70] or medication use apps [21], or evaluate the security or privacy of apps with specific features, for instance, analysing the traffic between a fitness tracker…”
BackgroundInfluentialMcGowan, I. W., Fisher, N., Havens, J., & Proudlock, S. (2021) · BMC Psychiatry · doi:10.1186/s12888-021-03571-x · Cited by 23 · see citing works
- Authors
- Marotta-Walters, S. A., Jain, K., DiNardo, J., Kaur, P., & Kaligounder, S.
- Affiliations
- George Washington University (US)
- George Washington University, Washington, DC
- Venue
- Journal of EMDR Practice and Research
- Published
- 2018-01
- Volume
- 12
- Issue
- 1
- Pages
- 2-15
- ISSN
- 1933-3196 (ISSN-L)
- 1933-320X
- OpenAlex
- W2791604460
- Cited by
- 16
- References
- 10
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 3 · 2023: 1 · 2022: 1 · 2021: 3 · 2020: 3
- FWCI
- 1.77
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of EMDR Practice and Research (publishedVersion)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Posttraumatic Stress Disorder Research
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Keywords
- EMDR, mobile health apps, complex trauma, post-traumatic stress disorder, comorbidities, app quality, client safety, cybersecurity, data privacy, technology in psychotherapy
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