Evidence map›Paper›PMID 33872181›Full record

ArticleJMIR formative research2021

Mobile Sensing Apps and Self-management of Mental Health During the COVID-19 Pandemic: Web-Based Survey.

Banuchitra Suruliraj, Kitti Bessenyei, Alexa Bagnell, Patrick McGrath, Lori Wozney, Rita Orji, Sandra Meier

Abstract read
In one paragraph

Article in JMIR formative research, 2021. 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.

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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

7 authors.

Banuchitra SurulirajFaculty of Computer Science, Dalhousie University, Halifax, NS, Canada.ORCID https://orcid.org/0000-0001-8016-6016
Kitti BessenyeiDepartment of Psychiatry, Dalhousie University, Halifax, NS, Canada.ORCID https://orcid.org/0000-0002-9989-4811
Alexa BagnellDepartment of Psychiatry, Dalhousie University, Halifax, NS, Canada.ORCID https://orcid.org/0000-0002-1484-9676
Patrick McGrathDepartment of Psychiatry, Dalhousie University, Halifax, NS, Canada.ORCID https://orcid.org/0000-0002-9568-2571
Lori WozneyNova Scotia Health Authority, Halifax, NS, Canada.ORCID https://orcid.org/0000-0003-4280-3322
Rita OrjiFaculty of Computer Science, Dalhousie University, Halifax, NS, Canada.ORCID https://orcid.org/0000-0001-6152-8034
Sandra MeierDepartment of Psychiatry, Dalhousie University, Halifax, NS, Canada.ORCID https://orcid.org/0000-0002-3287-5894

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDuring the COVID-19 pandemic, people had to adapt their daily life routines to the currently implemented public health measures, which is likely to have resulted in a lack of in-person social interactions, physical activity, or sleep. Such changes can have a significant impact on mental health. Mobile sensing apps can passively record the daily life routines of people, thus making them aware of maladaptive behavioral adjustments to the pandemic.

objectiveThis study aimed to explore the views of people on mobile sensing apps that passively record behaviors and their potential to increase awareness and helpfulness for self-managing mental health during the pandemic.

methodsWe conducted an anonymous web-based survey including people with and those without mental disorders, asking them to rate the helpfulness of mobile sensing apps for the self-management of mental health during the COVID-19 pandemic. The survey was conducted in May 2020.

resultsThe majority of participants, particularly those with a mental disorder (n=106/148, 72%), perceived mobile sensing apps as very or extremely helpful for managing their mental health by becoming aware of maladaptive behaviors. The perceived helpfulness of mobile sensing apps was also higher among people who experienced a stronger health impact of the COVID-19 pandemic (β=.24; 95% CI 0.16-0.33; P<.001), had a better understanding of technology (β=.17; 95% CI 0.08-0.25; P<.001), and had a higher education (β=.1; 95% CI 0.02-0.19; P=.02).

conclusionsOur findings highlight the potential of mobile sensing apps to assist in mental health care during the pandemic.

Indexed as

appawarenessbehaviorCOVID-19helpfulnessmobile healthmobile sensingself-managementsensingweb-based survey

Identifiers

PMID33872181
PMCPMC8078366

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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.