Evidence map›Paper›PMID 40256356›Full record

ArticlePractice innovations (Washington, D.C.)2025

Digital Interventions for People Waitlisted for Mental Health Services: A Needs Assessment and Preference Survey.

Benjamin Buck, Arya Kadakia, Anna Larsen, Justin Tauscher, Jessy Guler, Dror Ben-Zeev

Abstract read
In one paragraph

Article in Practice innovations (Washington, D.C.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Review
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

6 authors.

Benjamin BuckBehavioral Research in Technology and Engineering Center, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA.
Arya KadakiaBehavioral Research in Technology and Engineering Center, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA.
Anna LarsenBehavioral Research in Technology and Engineering Center, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA.
Justin TauscherBehavioral Research in Technology and Engineering Center, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA.
Jessy GulerBehavioral Research in Technology and Engineering Center, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA.
Dror Ben-ZeevBehavioral Research in Technology and Engineering Center, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA.

Funding

User-centered design of a mobile health intervention to promote help-seeking and reduce duration of untreated illness among young adults with early psychosisK23MH122504 · NIMH · UNIVERSITY OF WASHINGTON · PI BUCK, BENJAMIN EDWARDS · 2020 to 2024
$930k
NIMH NIH HHS K23 MH122504
6 · The paper itself

Abstract

This study aimed to characterize the needs and preferences for digital health of individuals waitlisted for services. 135 people who sought mental health services in the past year and who were not receiving the service they sought completed questionnaires assessing their experiences during this period as well as their preferences related to digital interventions. Participants had sought services on average nearly eight months prior to completing the survey (M = 7.74 months, SD = 8.51). most commonly for anxiety (N = 118, 87.4%) and depression (N = 101, 74.8%). Relative to the date they first sought services, participants reported reduced interest (

Indexed as

digital healthmobile healthtransdiagnostic interventionswaitlist

Identifiers

PMID40256356
PMCPMC12007810

What OpenQuestion holds

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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.