Evidence map›Paper›PMID 33989127›Full record

ReviewAJOB neuroscience

Is There an App for That?: Ethical Issues in the Digital Mental Health Response to COVID-19.

Joshua August Skorburg, Josephine Yam

Abstract readReview
PubMed Publisher
In one paragraph

Review in AJOB neuroscience. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–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

18 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. The Acceptability of AI-Driven Resource Signposting to Young People Using a Mental Health Peer Support App.Digital society : ethics, socio-legal and governance of digital technology · 2025
    Article
  8. Reframing Mental Health Ethics.Community mental health journal · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. A Retrospective Longitudinal Analysis of Mental Health Admissions: Measuring the Fallout of the Pandemic.International journal of environmental research and public health · 2023
    Review
  15. Article
  16. Article
  17. Article
  18. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Joshua August SkorburgUniversity of Guelph.ORCID 0000-0002-3779-5076
Josephine YamUniversity of Guelph.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Well before COVID-19, there was growing excitement about the potential of various digital technologies such as tele-health, smartphone apps, or AI chatbots to revolutionize mental healthcare. As the SARS-CoV-2 virus spread across the globe, clinicians warned of the mental illness epidemic within the coronavirus pandemic. Now, funding for digital mental health technologies is surging and many researchers are calling for widespread adoption to address the mental health sequelae of COVID-19. Reckoning with the ethical implications of these technologies is urgent because decisions made today will shape the future of mental health research and care for the foreseeable future. We contend that the most pressing ethical issues concern (1) the extent to which these technologies demonstrably improve mental health outcomes and (2) the likelihood that wide-scale adoption will exacerbate the existing health inequalities laid bare by the pandemic. We argue that the evidence for efficacy is weak and that the likelihood of increasing inequalities is high. First, we review recent trends in digital mental health. Next, we turn to the clinical literature to show that many technologies proposed as a response to COVID-19 are unlikely to improve outcomes. Then, we argue that even evidence-based technologies run the risk of increasing health disparities. We conclude by suggesting that policymakers should not allocate limited resources to the development of many digital mental health tools and should focus instead on evidence-based solutions to address mental health inequalities.

Indexed as

COVID-19Mobile ApplicationsHumansMental HealthPandemicsSARS-CoV-2artificial intelligenceBioethicsmental healthpsychiatry

Identifiers

What OpenQuestion holds

Textmetadata
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.