Evidence map›Paper›PMID 35599835›Full record

ArticleCognitive and behavioral practice2022

Digital Mental Health Services: Moving From Promise to Results.

Bethany A Teachman, Alexandra L Silverman, Alexandra Werntz

Abstract read
In one paragraph

Article in Cognitive and behavioral practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Evaluation of the Use of Digital Mental Health Platforms and Interventions: Scoping Review.International journal of environmental research and public health · 2022
    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

3 authors.

Bethany A TeachmanUniversity of Virginia.
Alexandra L SilvermanUniversity of Virginia.
Alexandra WerntzUniversity of Virginia.

Funding

Effectiveness of interpretation training to reduce anxiety: Evaluating technology-based delivery models and methods to reduce attritionR01MH113752 · NIMH · UNIVERSITY OF VIRGINIA · PI TEACHMAN, BETHANY A · 2017 to 2020
$2.5M
NIMH NIH HHS R01 MH113752
6 · The paper itself

Abstract

The papers in this special issue make a compelling case for the value of digital mental health services (DMHS; including technology-based interventions, assessments, and prevention programs) to help address some of the currently unmet needs in mental health care. At the same time, the papers highlight the work that needs to be accomplished for DMHS to fulfill their promise. We review the papers' contributions in terms of (a) the imperative to increase access to evidence-informed, high-quality care, especially for underserved populations, both in the United States and globally; (b) ways to use DMHS to improve the ways that clinical care is provided to make treatment provision more effective and efficient; and (c) the current state of the research on DMHS for emotional disorders. We then consider lessons learned and recommendations to move the field forward, such as increasing (and making transparent) the research base on DMHS, adopting regulatory standards for DMHS, attending carefully to training issues for DMHS and best practices for dissemination and implementation, designing specifically for digital platforms, and being intentional about efforts to reduce disparities regarding who benefits from DMHS.

Indexed as

digitaldissemination and implementationhealth disparitiesmental healthtechnology

Identifiers

PMID35599835
PMCPMC9122336

What OpenQuestion holds

Textmetadata
LicenceTDM
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.