Front Psychiatry. 2021 Sep 14;12:713987. doi: 10.3389/fpsyt.2021.713987. eCollection 2021.
Threats to Global Mental Health From Unregulated Digital Phenotyping and Neuromarketing: Recommendations for COVID-19 Era and Beyond.
Frontiers in psychiatry
Hossein Akbarialiabad, Bahar Bastani, Mohammad Hossein Taghrir, Shahram Paydar, Nasrollah Ghahramani, Manasi Kumar
Affiliations
Affiliations
- Research Center for Psychiatry and Behavioral Sciences, Department of Psychiatry, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
- Student Research Committee, Shiraz School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
- Medicine-Nephrology, Saint Louis University School of Medicine, Saint Louis, MO, United States.
- Trauma Research Center, Shahid Rajaee (Emtiaz) Trauma Hospital, Shiraz University of Medical Sciences, Shiraz, Iran.
- Division of Nephrology, Department of Medicine, Penn State University College of Medicine, Hershey, PA, United States.
- Department of Psychiatry, University of Nairobi, Nairobi, Kenya.
- Department of Clinical, Educational and Health Psychology, University College London, London, United Kingdom.
PMID: 34594251
PMCID: PMC8477163 DOI: 10.3389/fpsyt.2021.713987
Abstract
The new era of digitalized knowledge and information technology (IT) has improved efficiency in all medical fields, and digital health solutions are becoming the norm. There has also been an upsurge in utilizing digital solutions during the COVID-19 pandemic to address the unmet mental healthcare needs, especially for those unable to afford in-person office-based therapy sessions or those living in remote rural areas with limited access to mental healthcare providers. Despite these benefits, there are significant concerns regarding the widespread use of such technologies in the healthcare system. A few of those concerns are a potential breach in the patients' privacy, confidentiality, and the agency of patients being at risk of getting used for marketing or data harnessing purposes. Digital phenotyping aims to detect and categorize an individual's behavior, activities, interests, and psychological features to properly customize future communications or mental care for that individual. Neuromarketing seeks to investigate an individual's neuronal response(s) (cortical and subcortical autonomic) characteristics and uses this data to direct the person into purchasing merchandise of interest, or shaping individual's opinion in consumer, social or political decision making, etc. This commentary's primary concern is the intersection of these two concepts that would be an inevitable threat, more so, in the post-COVID era when disparities would be exaggerated globally. We also addressed the potential "dark web" applications in this intersection, worsening the crisis. We intend to raise attention toward this new threat, as the impacts might be more damming in low-income settings or/with vulnerable populations. Legal, health ethics, and government regulatory processes looking at broader impacts of digital marketing need to be in place.
Copyright © 2021 Akbarialiabad, Bastani, Taghrir, Paydar, Ghahramani and Kumar.
Keywords: data privacy; digital mental health regulations; digital neuromarketing; digital phenotyping; global mental health; lower and middle income counteries
Conflict of interest statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
References
- Psychiatry Clin Neurosci. 2000 Feb;54(1):1-10 - PubMed
- J Nerv Ment Dis. 2019 Oct;207(10):893-896 - PubMed
- Ann Fam Med. 2018 Jul;16(4):338-342 - PubMed
- Lancet Psychiatry. 2020 Aug;7(8):655-657 - PubMed
- Neuropsychopharmacology. 2018 Jul;43(8):1660-1666 - PubMed
- Schizophr Res. 2019 Jun;208:105-113 - PubMed
- Neuropsychopharmacology. 2016 Jun;41(7):1691-6 - PubMed
- J Gen Intern Med. 2020 Nov;35(11):3346-3347 - PubMed
- Depress Anxiety. 2018 Jul;35(7):601-608 - PubMed
- EPJ Data Sci. 2021;10(1):6 - PubMed
- Transl Psychiatry. 2021 Feb 11;11(1):121 - PubMed
- JMIR Ment Health. 2020 Jul 22;7(7):e21718 - PubMed
- Front Psychiatry. 2020 May 27;11:473 - PubMed
- J Ment Health. 2019 Oct;28(5):461-466 - PubMed
- J Adolesc Health. 2015 Aug;57(2):245-7 - PubMed
- J Med Internet Res. 2020 May 29;22(5):e16875 - PubMed
- NPJ Digit Med. 2019 Mar 22;2:18 - PubMed
- N Engl J Med. 2018 Mar 15;378(11):981-983 - PubMed
- Nat Rev Neurosci. 2010 Apr;11(4):284-92 - PubMed
- Sci Transl Med. 2019 Jan 9;11(474): - PubMed
- Lancet. 2020 Apr 11;395(10231):1180-1181 - PubMed
- Appl Health Econ Health Policy. 2018 Oct;16(5):583-590 - PubMed
- Nat Biotechnol. 2015 May;33(5):462-3 - PubMed
- Postgrad Med. 2018 May;130(4):420-427 - PubMed
- JMIR Ment Health. 2016 Jul 27;3(3):e34 - PubMed
- Brain Inform. 2020 Sep 21;7(1):10 - PubMed
- Evid Based Ment Health. 2020 Nov;23(4):161-166 - PubMed
- Environ Syst Decis. 2018;38(2):198-207 - PubMed
- J Am Med Inform Assoc. 2020 Apr 1;27(4):522-530 - PubMed
- NPJ Schizophr. 2020 May 5;6(1):13 - PubMed
- J Med Internet Res. 2021 Feb 17;23(2):e24486 - PubMed
- JMIR Mhealth Uhealth. 2019 Mar 29;7(3):e11568 - PubMed
Publication Types
Grant support