Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51799, first published .
Digital Health Tools Can Support Patient Access to Culturally and Linguistically Competent Behavioral Health Treatment

Digital Health Tools Can Support Patient Access to Culturally and Linguistically Competent Behavioral Health Treatment

Digital Health Tools Can Support Patient Access to Culturally and Linguistically Competent Behavioral Health Treatment

Authors of this article:

Mitchell Berger1 Author Orcid Image

Letter to the Editor

US Department of Health and Human Services, Rockville, MD, United States

Corresponding Author:

Mitchell Berger, MPH

US Department of Health and Human Services

5600 Fishers Lane

Rockville, MD, 200857

United States

Phone: 1 5712177722

Email: mazruia@hotmail.com



As significant investments of funding and time go toward digital health tools, it seems to be a mantra among many in the behavioral health space that “if you build it, they will come” or, less colloquially, that digital technologies, once developed and approved for use, will be supported and rapidly adopted both by patients and providers. It, however, remains somewhat unclear just how much enthusiasm for digital health tools really exists, who will use them, and how they will fit among other traditional and innovative therapeutic modalities. Thus, it was interesting and important to read McCall et al’s [1] research and conclusion that “Black American women, in general, have favorable views toward seeking mental health services and are comfortable with the use of mobile technology to receive support for managing depression.”

Their findings dovetail with other research showing that, while digital therapies are likely to be effective, equity, privacy, ethics, and reimbursement considerations must be part of the discussion as these therapies are being developed [2,3]. The Substance Abuse and Mental Health Services Administration in a recent issue brief explored regulatory, research, and equity considerations associated with digital therapeutics, noting that future therapies “must be designed and implemented to account for differences in health and digital literacy and to be culturally and linguistically appropriate, adaptable to variable service settings, and affordable and accessible for all users” [2]. Research like that of McCall et al [1] helps providers, policy makers, and patients better understand how patients may perceive the benefits and drawbacks of digital health tools. As McCall et al [1] acknowledge, their research may not necessarily be broadly applicable to other populations, and additional understanding of how digital therapeutics are perceived across income levels, geographic areas, race and ethnicity, sexual orientation, and other demographic groups would be helpful. Ideally, digital health tools will complement broader efforts to promote equity in behavioral health screening, access, prevention, and treatment.

In addition to concerns about disparities and discrimination, which McCall et al [1] reference in their article, products intended for use (or even likely to be used) by minors also will need special consideration [4]. Additionally, it is worth exploring the use of digital health tools to support the behavioral health of geriatric populations [5].

With more digital tools arriving amid a shortage of behavioral health providers, digital tools have the potential, as during COVID-19, to help reach additional populations and support a busy and challenged provider workforce. Working together, we can ensure that post–COVID-19 digital approaches are grounded in an understanding of the needs, values, and perspectives of patients and behavioral health providers who will use and hopefully benefit from these additional tools.

Acknowledgments

The opinions expressed in this paper are solely those of the author in his private capacity, have not been reviewed by others, and should not be imputed to any public or private entity.

Conflicts of Interest

MB is an employee of the Department of Health and Human Services.

Editorial Notice

The corresponding author and co-authors of “Attitudes Toward Seeking Mental Health Services and Mobile Technology to Support the Management of Depression Among Black American Women: Cross-Sectional Survey Study" did not provide an Author Reply because the Letter to the Editor affirms their research findings and implications and they agree with the writer's comments.

  1. McCall T, Foster M, Schwartz TA. Attitudes toward seeking mental health services and mobile technology to support the management of depression among black American women: cross-sectional survey study. J Med Internet Res. Jul 19, 2023;25:e45766. [FREE Full text] [CrossRef] [Medline]
  2. Digital therapeutics for management and treatment in behavioral health. Substance Abuse and Mental Health Services Administration. Rockville, MD. National Mental Health and Substance Use Policy Laboratory; 2023. URL: https://www.samhsa.gov/resource/ebp/digital-therapeutics-management-treatment-behavioral-health [accessed 2023-08-21]
  3. Philippe TJ, Sikder N, Jackson A, Koblanski ME, Liow E, Pilarinos A, et al. Digital health interventions for delivery of mental health care: systematic and comprehensive meta-review. JMIR Ment Health. May 12, 2022;9(5):e35159. [FREE Full text] [CrossRef] [Medline]
  4. Wies B, Landers C, Ienca M. Digital mental health for young people: a scoping review of ethical promises and challenges. Front Digit Health. 2021;3:697072. [FREE Full text] [CrossRef] [Medline]
  5. Fortuna KL, Torous J, Depp CA, Jimenez DE, Areán PA, Walker R, et al. A future research agenda for digital geriatric mental healthcare. Am J Geriatr Psychiatry. Nov 2019;27(11):1277-1285. [FREE Full text] [CrossRef] [Medline]

Edited by T Leung; This is a non–peer-reviewed article. submitted 12.08.23; accepted 16.08.23; published 25.08.23.

Copyright

©Mitchell Berger. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 25.08.2023.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.