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Ethical dilemmas in nursing are of utmost importance, as they often arise from the tension between adhering to core ethical principles and the practical realities of healthcare delivery. These dilemmas require nurses to navigate complex situations where competing ethical considerations pull them in different directions.
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Using Wearable Digital Devices to Screen Children for Mental Health Conditions: Ethical Promises and Challenges.

Aisling O'Leary1, Timothy Lahey2, Juniper Lovato3

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Digital phenotype screening tools (DPSTs) offer objective measures to improve pediatric mental health screening by reducing caregiver reporting bias. Responsible development is key to ensure accuracy, privacy, and accessibility for ethical clinical implementation.

Keywords:
artificial intelligencedigital healthethicsmental healthpediatricswearables

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Area of Science:

  • Pediatric mental health
  • Digital health technologies
  • Clinical ethics

Background:

  • A growing pediatric mental health crisis necessitates standardized screening.
  • Current screening tools rely on caregiver reports, which can be biased (under- or over-reporting).
  • Digital phenotype screening tools (DPSTs) are emerging to provide objective data.

Purpose of the Study:

  • To explore the ethical considerations of implementing DPSTs in pediatric mental health screening.
  • To evaluate the potential benefits and challenges of DPSTs.

Main Methods:

  • Review of current literature on DPSTs in pediatric mental health.
  • Analysis of DPSTs through the lenses of accuracy, bias, privacy, and accessibility.
  • Identification of strategies for responsible development and deployment.

Main Results:

  • DPSTs show promise in accuracy and may reduce caregiver reporting bias.
  • DPSTs could potentially be more accessible than traditional surveys.
  • Risks include bias, privacy violations, and cost if not developed responsibly.

Conclusions:

  • DPSTs offer a novel approach to supplement pediatric mental health screening.
  • Ethical guidelines and responsible development are crucial for successful clinical integration.
  • Addressing potential biases, privacy concerns, and accessibility is vital for equitable implementation.