Evidence map›Paper›PMID 37201138›Full record

ArticleFocus (American Psychiatric Publishing)2023

Clinical Considerations for Digital Resources in Care for Patients With Suicidal Ideation.

Noy Alon, Sarah Perret, Rebecca Segal, John Torous

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Focus (American Psychiatric Publishing), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.9field-weighted citation impact, top 16% of its field
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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Review
  3. 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

4 authors at 1 institution in 1 country.

Noy AlonDivision of Digital Psychiatry (Alon, Perret, Torous) and mental health services consultant (Segal), Beth Israel Deaconess Medical Center, Harvard Medical School, Boston.
Sarah PerretDivision of Digital Psychiatry (Alon, Perret, Torous) and mental health services consultant (Segal), Beth Israel Deaconess Medical Center, Harvard Medical School, Boston.
Rebecca SegalDivision of Digital Psychiatry (Alon, Perret, Torous) and mental health services consultant (Segal), Beth Israel Deaconess Medical Center, Harvard Medical School, Boston.
John TorousDivision of Digital Psychiatry (Alon, Perret, Torous) and mental health services consultant (Segal), Beth Israel Deaconess Medical Center, Harvard Medical School, Boston.
Beth Israel Deaconess Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Smartphone apps offer accessible new tools that may help prevent suicide and that offer support for individuals with active suicidal ideation. Numerous smartphone apps for mental health conditions exist; however, their functionality is limited, and evidence is nascent. A new generation of apps using smartphone sensors and integrating real-time data on evolving risk offers the potential of more personalized support, but these apps present ethical risks and currently remain more in the research domain than in the clinical domain. Nevertheless, clinicians can use apps to benefit patients. This article outlines practical strategies to select safe and effective apps for the creation of a digital toolkit that can augment suicide prevention and safety plans. By creating a unique digital toolkit for each patient, clinicians can help ensure that the apps selected will be most relevant, engaging, and effective.

Indexed as

appsDiagnosis/classification (DSM)mobile healthsmartphonesSuicide

Identifiers

PMID37201138
PMCPMC10172563
OpenAlexW4365518272

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.