Evidence map›Paper›PMID 37360962›Full record

ReviewCurrent treatment options in psychiatry2023

Asynchronous Technologies in Mental Health Care and Education.

Pamela Gail D Lagera, Steven R Chan, Peter M Yellowlees

Abstract readReview
In one paragraph

Review in Current treatment options in psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
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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.

Pamela Gail D LageraDivision of Hospital Medicine, Clinical Informatics, University of California, San Francisco, CA USA.ORCID 0000-0001-9246-1063
Steven R ChanDivision of Hospital Medicine, Clinical Informatics, University of California, San Francisco, CA USA.
Peter M YellowleesDepartment of Psychiatry, University of California, Davis, CA USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose of review: Patients, providers, and trainees should understand the current types of asynchronous technologies that can be used to enhance the delivery and accessibility of mental health care. Asynchronous telepsychiatry (ATP) removes the need for real time communication between the clinician and patient, which improves efficiency and enables quality specialty care. ATP can be applied as distinct consultative and supervisory models in Recent findings: This review is based on research literature and the authors' clinical and medical training, using experiences with asynchronous telepsychiatry from before, during, and after the COVID-19 pandemic. Our studies demonstrate that ATP provides positive outcomes in the Summary: Asynchronous technologies continue to be integrated into mental health care services and research. Future research must ensure that the design and the usability of this technology puts the patient and provider first.

Indexed as

Asynchronous telepsychiatryBlended learningCollaborative careDiversity, Equity, and InclusionTele-yogaWellness

Identifiers

PMID37360962
PMCPMC10157570

What Socratic 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 Socratic graph.