Evidence map›Paper›PMID 42547127›Full record

ReviewThe Psychiatric clinics of North America2026

Towards Human-Centered Digital Health Interventions.

Kristin M Kostick-Quenet, Eric A Storch

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in The Psychiatric clinics of North America, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Kristin M Kostick-QuenetCenter for Medical Ethics and Health Policy, Baylor College of Medicine, One Baylor Plaza, Suite 310D, Houston, TX 77030, USA. Electronic address: kristin.kostick@bcm.edu.
Eric A StorchMenninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, 1977 Butler Boulevard, Houston, TX 77030, USA.

Funding

Ethical and Human Factors Impacting Successful Translation of Perceptual Computing to Improve Clinical CareR01TR004243 · NCATS · BAYLOR COLLEGE OF MEDICINE · PI HERRINGTON, JOHN DAVID, KOSTICK, KRISTIN MARIE · 2022 to 2025
$2.0M
NCATS NIH HHS R01 TR004243
6 · The paper itself

Abstract

This article discusses the potential of digital health interventions (DHIs) in mental health care, emphasizing the importance of designing them to foster genuine humanistic care. It highlights current challenges in measuring engagement and outcomes, advocating for integrating human-centered endpoints such as dignity, autonomy, and therapeutic alliance into evaluation frameworks. The authors call for mechanistic research to identify effective engagement strategies and context-specific implementation approaches. Ultimately, successful DHIs should demonstrate both clinical efficacy and the preservation of humane, person-centered care, ensuring ethical and meaningful mental health support through technology.

Indexed as

Digital HealthMental Health ServicesPatient-Centered CareHumansDigital health interventionsDigital phenotypingEngagementEthicsHuman-centered artificial intelligenceTranslation

Identifiers

PMID42547127
PMCPMC13508038

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.