Evidence map›Paper›PMID 36729590›Full record

ArticleJMIR mental health2023

The Use of Sensors to Detect Anxiety for In-the-Moment Intervention: Scoping Review.

Rosie Dobson, Linwei Lily Li, Katie Garner, Taria Tane, Judith McCool, Robyn Whittaker

Open access · goldAbstract readScoping Review
In one paragraph

Article in JMIR mental health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

13 citing papers in PubMed, 21 citations in OpenAlex.

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  12. Asynchronous Technologies in Mental Health Care and Education.Current treatment options in psychiatry · 2023
    Review
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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

6 authors at 1 institution in 1 country.

Rosie DobsonNational Institute for Health Innovation, University of Auckland, Auckland, New Zealand.ORCID https://orcid.org/0000-0003-0122-1000
Linwei Lily LiSchool of Population Health, University of Auckland, Auckland, New Zealand.ORCID https://orcid.org/0000-0003-2212-666X
Katie GarnerNational Institute for Health Innovation, University of Auckland, Auckland, New Zealand.ORCID https://orcid.org/0000-0002-8810-5557
Taria TaneSchool of Population Health, University of Auckland, Auckland, New Zealand.ORCID https://orcid.org/0000-0001-8672-9094
Judith McCoolSchool of Population Health, University of Auckland, Auckland, New Zealand.ORCID https://orcid.org/0000-0001-6646-6661
Robyn WhittakerNational Institute for Health Innovation, University of Auckland, Auckland, New Zealand.ORCID https://orcid.org/0000-0003-0901-9149
University of Auckland · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith anxiety a growing issue and barriers to accessing support services, there is a need for innovative solutions to provide early intervention. In-the-moment interventions support individuals to recognize early signs of distress and use coping mechanisms to prevent or manage this distress. There is potential for wearable sensors linked to an individual's mobile phone to provide in-the-moment support tailored to individual needs and physiological responses.

objectiveThe aim of this scoping review is to examine the role of sensors in detecting the physiological signs of anxiety to initiate and direct interventions for its management.

methodsRelevant studies were identified through searches conducted in Embase, MEDLINE, APA PsycINFO, ProQuest, and Scopus. Studies were identified if they were conducted with people with stress or anxiety or at risk of anxiety and included a wearable sensor providing real-time data for in-the-moment management of anxiety.

resultsOf the 1087 studies identified, 11 studies were included in the review, including 5 randomized controlled trials and 6 pilot or pretesting studies. The results showed that most studies successfully demonstrated improvements in their target variables. This included overall anxiety and stress levels, and the implementation of in-the-moment stress and anxiety management techniques such as diaphragmatic breathing. There was wide variation in the types of sensors used, physiological measures, and sensor-linked interventions.

conclusionsThis review indicates that sensors are potentially a useful tool in detecting anxiety and facilitating the implementation of a known control mechanism to reduce anxiety and improve mood, but further work is needed to understand the acceptability and effectiveness of this type of intervention.

Indexed as

anxietydigital health interventiondigital mental healthmental healthsensorswearable devicewearables

Identifiers

PMID36729590
PMCPMC9936367
OpenAlexW4318934909

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.