Evidence map›Paper›PMID 38794067›Full record

ReviewSensors (Basel, Switzerland)2024

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

Aisling O'Leary, Timothy Lahey, Juniper Lovato, Bryn Loftness, Antranig Douglas, Joseph Skelton, Jenna G Cohen, William E Copeland, Ryan S McGinnis, Ellen W McGinnis

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Aisling O'LearyDepartment of Philosophy, Virginia Polytechnic Institute and State University, Blacksburg, VA 24060, USA.ORCID 0000-0001-8441-5921
Timothy LaheyUniversity of Vermont Medical Center, Burlington, VT 05401, USA.
Juniper LovatoComplex Systems Center, University of Vermont, Burlington VT 05405, USA.ORCID 0000-0002-1619-7552
Bryn LoftnessComplex Systems Center, University of Vermont, Burlington VT 05405, USA.ORCID 0000-0003-4597-0783
Antranig DouglasUniversity of Vermont Medical Center, Burlington, VT 05401, USA.ORCID 0009-0003-4155-3613
Joseph SkeltonDepartment of Pediatrics, Wake Forest University School of Medicine, Winston-Salem 27101, NC, USA.
Jenna G CohenDepartment of Electrical and Biomedical Engineering, University of Vermont, Burlington VT 05405, USA.
William E CopelandDepartment of Psychiatry, University of Vermont, Burlington VT 05405, USA.
Ryan S McGinnisDepartment of Biomedical Engineering, Wake Forest University School of Medicine, Winston-Salem 27101, NC, USA.ORCID 0000-0001-8396-6967
Ellen W McGinnisDepartment of Pediatrics, Wake Forest University School of Medicine, Winston-Salem 27101, NC, USA.

Funding

Digital Phenotyping To Screen For Early Childhood Internalizing DisordersK23MH123031 · NIMH · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI MCGINNIS, ELLEN WAXLER · 2021 to 2024
$643k
National Science Foundation 2046440NIH HHS 1K23MH123031-03A1NIMH NIH HHS K23 MH123031
6 · The paper itself

Abstract

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.

Indexed as

Mental DisordersMental HealthWearable Electronic DevicesChildHumansMass ScreeningPrivacyartificial intelligencedigital healthethicsmental healthpediatricswearables

Identifiers

PMID38794067
PMCPMC11125700

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.