Using Wearable Digital Devices to Screen Children for Mental Health Conditions: Ethical Promises and Challenges

被引:0
作者
O'Leary, Aisling [1 ]
Lahey, Timothy [2 ]
Lovato, Juniper [3 ]
Loftness, Bryn [3 ]
Douglas, Antranig [2 ]
Skelton, Joseph [4 ,5 ]
Cohen, Jenna G. [6 ]
Copeland, William E. [7 ]
McGinnis, Ryan S. [8 ]
McGinnis, Ellen W. [4 ,5 ]
机构
[1] Virginia Polytech Inst & State Univ, Dept Philosophy, Blacksburg, VA 24060 USA
[2] Univ Vermont, Neurol, Burlington, VT 05401 USA
[3] Univ Vermont, Complex Syst Ctr, Burlington, VT 05405 USA
[4] Wake Forest Univ, Sch Med, Dept Pediat, Winston Salem, NC 27101 USA
[5] Wake Forest Univ, Sch Med, Div Publ Hlth Sci, Winston Salem, NC 27101 USA
[6] Univ Vermont, Dept Elect & Biomed Engn, Burlington, VT 05405 USA
[7] Univ Vermont, Dept Psychiat, Burlington, VT 05405 USA
[8] Wake Forest Univ, Sch Med, Dept Biomed Engn, Winston Salem, NC 27101 USA
基金
美国国家卫生研究院;
关键词
mental health; pediatrics; digital health; ethics; artificial intelligence; wearables; DEPRESSIVE SYMPTOMS; ANXIETY DISORDERS; ADOLESCENTS; BIBLIOTHERAPY; CONCORDANCE; BIOMARKERS; CLINICIAN; AGREEMENT; SERVICES; VALIDITY;
D O I
10.3390/s24103214
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
In response to a burgeoning pediatric mental health epidemic, recent guidelines have instructed pediatricians to regularly screen their patients for mental health disorders with consistency and standardization. Yet, gold-standard screening surveys to evaluate mental health problems in children typically rely solely on reports given by caregivers, who tend to unintentionally under-report, and in some cases over-report, child symptomology. Digital phenotype screening tools (DPSTs), currently being developed in research settings, may help overcome reporting bias by providing objective measures of physiology and behavior to supplement child mental health screening. Prior to their implementation in pediatric practice, however, the ethical dimensions of DPSTs should be explored. Herein, we consider some promises and challenges of DPSTs under three broad categories: accuracy and bias, privacy, and accessibility and implementation. We find that DPSTs have demonstrated accuracy, may eliminate concerns regarding under- and over-reporting, and may be more accessible than gold-standard surveys. However, we also find that if DPSTs are not responsibly developed and deployed, they may be biased, raise privacy concerns, and be cost-prohibitive. To counteract these potential shortcomings, we identify ways to support the responsible and ethical development of DPSTs for clinical practice to improve mental health screening in children.
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页数:13
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共 100 条
  • [1] Achenbach T.M., 2001, Manual for the ASEBA school-age forms profiles: An integrated system of multi-informant assessment
  • [2] The contribution of parent and youth information to identify mental health disorders or problems in adolescents
    Aebi, Marcel
    Kuhn, Christine
    Banaschewski, Tobias
    Grimmer, Yvonne
    Poustka, Luise
    Steinhausen, Hans-Christoph
    Goodman, Robert
    [J]. CHILD AND ADOLESCENT PSYCHIATRY AND MENTAL HEALTH, 2017, 11
  • [3] The Use of Wearable Technology in Providing Assistive Solutions for Mental Well-Being
    Alhejaili, Reham
    Alomainy, Akram
    [J]. SENSORS, 2023, 23 (17)
  • [4] Bio-acoustic features of depression: A review
    Almaghrabi, Shaykhah A.
    Clark, Scott R.
    Baumert, Mathias
    [J]. BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2023, 85
  • [5] Frustration, Cognition, and Psychophysiology in Dysregulated Children: A Research Domain Criteria Approach
    Ametti, Merelise R.
    Crehan, Eileen T.
    O'Loughlin, Kerry
    Schreck, Meghan C.
    Dube, Sarahjane L.
    Potter, Alexandra S.
    Sigmon, Stacey C.
    Althoff, Robert R.
    [J]. JOURNAL OF THE AMERICAN ACADEMY OF CHILD AND ADOLESCENT PSYCHIATRY, 2022, 61 (06) : 796 - +
  • [6] [Anonymous], 2003, Psychol. Treat. Ethn. Minor. Popul
  • [7] Applications of Speech Analysis in Psychiatry, Harvard Review of Psychiatry
  • [8] assn, Confidential Health Care for Minors | AMA-Code
  • [9] Comparing Physician and Artificial Intelligence Chatbot Responses to Patient Questions Posted to a Public Social Media Forum
    Ayers, John W.
    Poliak, Adam
    Dredze, Mark
    Leas, Eric C.
    Zhu, Zechariah
    Kelley, Jessica B.
    Faix, Dennis J.
    Goodman, Aaron M.
    Longhurst, Christopher A.
    Hogarth, Michael
    Smith, Davey M.
    [J]. JAMA INTERNAL MEDICINE, 2023, 183 (06) : 589 - 596
  • [10] The Screen for Child Anxiety Related Emotional Disorders (SCARED): Informant Discrepancy, Measurement Invariance, and Test-Retest Reliability
    Behrens, Brigid
    Swetlitz, Caroline
    Pine, Daniel S.
    Pagliaccio, David
    [J]. CHILD PSYCHIATRY & HUMAN DEVELOPMENT, 2019, 50 (03) : 473 - 482