Evidence map›Paper›PMID 36755986›Full record

ArticleFrontiers in psychology2022

Mobile opportunity against stress: Open study protocol on the effectiveness of a mobile platform for stress self-management in the post-pandemic era.

Andrea Pozza, Barbara Giangrasso, David Baldo, Ada Fort, Giovanna Millozzi, Francesco Iocca, Nicole Loren Angelo, Daniele Pugi, Giacomo Gualtieri, Lore Lorenzi and 6 more

Abstract read
In one paragraph

Article in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

16 authors.

Andrea PozzaDepartment of Medical Sciences, Surgery and Neurosciences, University of Siena, Siena, Italy.
Barbara GiangrassoDepartment of Health Sciences, Psychology Unit, University of Florence, Florence, Italy.
David BaldoDepartment of Information Engineering and Mathematics, University of Siena, Siena, Italy.
Ada FortDepartment of Information Engineering and Mathematics, University of Siena, Siena, Italy.
Giovanna MillozziSanta Maria Alle Scotte University Hospital of Siena, Siena, Italy.
Francesco IoccaDepartment of Medical Sciences, Surgery and Neurosciences, University of Siena, Siena, Italy.
Nicole Loren AngeloDepartment of Medical Sciences, Surgery and Neurosciences, University of Siena, Siena, Italy.
Daniele PugiDepartment of Medical Sciences, Surgery and Neurosciences, University of Siena, Siena, Italy.
Giacomo GualtieriSanta Maria Alle Scotte University Hospital of Siena, Siena, Italy.
Lore LorenziSanta Maria Alle Scotte University Hospital of Siena, Siena, Italy.
Francesca GioiaDepartment of Health Sciences, Psychology Unit, University of Florence, Florence, Italy.
Sara Bocci BenucciDepartment of Health Sciences, Psychology Unit, University of Florence, Florence, Italy.
Giulia FioravantiDepartment of Health Sciences, Psychology Unit, University of Florence, Florence, Italy.
Anna ColucciaDepartment of Medical Sciences, Surgery and Neurosciences, University of Siena, Siena, Italy.
Fabio FerrettiDepartment of Medical Sciences, Surgery and Neurosciences, University of Siena, Siena, Italy.
Silvia CasaleDepartment of Health Sciences, Psychology Unit, University of Florence, Florence, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mobile health platforms have shown promise in the management of various mental health conditions (including stress, anxiety, and depression) and cognitive behavioral strategies emerged as a popular and effective option offered by the platforms. This paper presents the protocol of a study aimed to test the effectiveness of a mobile platform that uses cognitive-behavioral strategies for stress self-management in the Tuscany region (Italy). The mobile app is adapted to the specific needs of each vulnerable population for which it is designed: young and older people, healthcare professionals, entrepreneurs. The app will be evaluated on the following outcomes: (i) perceived susceptibility and severity of the pandemic situation, perceived benefits, and costs of preventive health behaviors, (ii) knowledge about Covid-19 preventive behaviors and negative consequences of social distancing, (iii) stress and psychopathological symptoms (i.e., anxiety, depression, and post-traumatic stress symptoms) and cognitive distortions. If successful, we expect that the platform could give various groups clinical benefits by providing symptom self-monitoring and early intervention, consolidating the number of mental health programs available, and decreasing barriers to treatment-seeking. This population-level approach has the potential to improve mental health outcomes in pandemic periods for many people.

Indexed as

digital healthmental healthpandemic (COVID-19)smartphone appsstress

Identifiers

PMID36755986
PMCPMC9901297

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.