Evidence map›Paper›PMID 40468394›Full record

ArticleBMC psychology2025

The perception of Covid-19 amongst vulnerable subgroups of the general population in Italy: insights from the qualitative study of the MOST project.

Francesco Iocca, Barbara Giangrasso, Giulia Fioravanti, Daniele Pugi, Nicole Loren Angelo, David Baldo, Andrea Failli, Valerio Vignoli, Ada Fort, Giovanna Millozzi and 8 more

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Article in BMC psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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No citing paper in PubMed yet.

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

18 authors.

Francesco IoccaDepartment of Medical Sciences, Surgery and Neurosciences, University of Siena, Siena, Italy.
Barbara GiangrassoDepartment of Health Sciences, Psychology Unit, University of Florence, Florence, Italy.
Giulia FioravantiDepartment of Health Sciences, Psychology Unit, University of Florence, Florence, Italy.
Daniele PugiDepartment 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.
David BaldoDeparment of Information Engineering and Mathematics, University of Siena, Siena, Italy.
Andrea FailliDeparment of Information Engineering and Mathematics, University of Siena, Siena, Italy.
Valerio VignoliDeparment of Information Engineering and Mathematics, University of Siena, Siena, Italy.
Ada FortDeparment of Information Engineering and Mathematics, University of Siena, Siena, Italy.
Giovanna MillozziUniversity Hospital of Siena, Santa Maria alle Scotte, Siena, Italy.
Giacomo GualtieriUniversity Hospital of Siena, Santa Maria alle Scotte, Siena, Italy.
Lore LorenziUniversity Hospital of Siena, Santa Maria alle Scotte, 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.
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.
Andrea PozzaDepartment of Medical Sciences, Surgery and Neurosciences, University of Siena, Siena, Italy. andrea.pozza@unisi.it.
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

backgroundThe Covid-19 pandemic has had significant consequences on the well-being of individuals worldwide. However, some subgroups may be more affected, presenting numerous distressing psychological symptoms such as depression, anxiety and stress. The present study aims to explore the needs and concerns of the most vulnerable populations during the pandemic.

methodsOnline focus groups were conducted with representatives of five vulnerable populations: frontline and non-frontline healthcare workers, young adults, older people, and entrepreneurs. The interviews with each group were transcribed, and an inducted theme analysis, based on the Health Belief Model, was conducted to identify recurring themes and build and implement a tailored intervention.

resultsQualitative differences between groups emerged in risk perception, one of the main domains of the Health Belief Model, while similarities emerged in the perceived cost of the pandemic. Other themes that emerged included vaccination intention, future expectations, protective measures usage, and information searching.

conclusionsThe findings of the present study may help shape a Health Belief Model-based intervention to promote well-being and the use of protective measures during pandemics.

Indexed as

COVID-19Health Knowledge, Attitudes, PracticeVulnerable PopulationsAdultAgedFemaleFocus GroupsHealth Belief ModelHealth PersonnelHumansItalyMaleMiddle AgedQualitative ResearchSARS-CoV-2Young AdultCovid-19Health Belief ModelHealth promotionPsychological outcomesRisk susceptibilitySmartphone app

Identifiers

PMID40468394
PMCPMC12135222

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.