Evidence map›Paper›PMID 32915822›Full record

ArticlePloS one2020

Measuring Italian citizens' engagement in the first wave of the COVID-19 pandemic containment measures: A cross-sectional study.

Guendalina Graffigna, Serena Barello, Mariarosaria Savarese, Lorenzo Palamenghi, Greta Castellini, Andrea Bonanomi, Edoardo Lozza

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.8field-weighted citation impact, top 4% 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

24 citing papers in PubMed, 47 citations in OpenAlex.

  1. Social Environment and Attitudes toward COVID-19 Anti-Contagious Measures: An Explorative Study from Italy.International journal of environmental research and public health · 2023
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  12. An Asia-Pacific study on healthcare workers' perceptions of, and willingness to receive, the COVID-19 vaccination.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2021
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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 at 1 institution in 1 country.

Guendalina GraffignaEngageMinds HUB-Consumer, Food & Health Engagement Research Center, Università Cattolica del Sacro Cuore, Milan, Italy.
Serena BarelloEngageMinds HUB-Consumer, Food & Health Engagement Research Center, Università Cattolica del Sacro Cuore, Milan, Italy.ORCID 0000-0002-8514-2563
Mariarosaria SavareseEngageMinds HUB-Consumer, Food & Health Engagement Research Center, Università Cattolica del Sacro Cuore, Milan, Italy.
Lorenzo PalamenghiEngageMinds HUB-Consumer, Food & Health Engagement Research Center, Università Cattolica del Sacro Cuore, Milan, Italy.ORCID 0000-0002-8222-3915
Greta CastelliniEngageMinds HUB-Consumer, Food & Health Engagement Research Center, Università Cattolica del Sacro Cuore, Milan, Italy.
Andrea BonanomiDepartment of Statistical Science, Università Cattolica del Sacro Cuore, Milan, Italy.
Edoardo LozzaDepartment of Psychology, Università Cattolica del Sacro Cuore, Milan, Italy.
Università Cattolica del Sacro Cuore · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn January 2020, the coronavirus disease 2019 (COVID-19) started to spread in Italy. The Italian government adopted urgent measures to slow its spread. Enforcing compliance with such measures is crucial in order to enhance their effectiveness. Engaging citizens in the COVID-19 preventive process is urgent today both in Italy and around the world. However, to the best of our knowledge, no previous studies have investigated the role of health engagement in predicting citizens' compliance with health emergency containment measures.

methodAn online survey was administered between February 28 and March 4, 2020 on a representative sample of 1000 Italians. The questionnaire included a measure of health engagement (Patient Health Engagement Scale), a 5-item Likert scale ranging from 1 to 7, resulting in 4 positions that describe the psychological readiness to be active in one's own health management, and a series of ad hoc items intended to measure citizens' perceived susceptibility and severity of the disease, orientation towards health management, trust in institutional bodies, health habits and food consumption. To investigate the relationship between health engagement and these variables, ANOVA analysis, logistic regression and contingency tables with Pearson's chi-squared analysis have been carried out.

resultsLess engaged people show higher levels of perceived susceptibility to the virus and severity of the disease; they are less trustful of scientific and healthcare authorities, they feel less self-effective in managing their own health-both in normal conditions and under stress-and are less prone to cooperate with healthcare professionals. Low levels of health engagement also are associated with a change in the usual purchase behavior.

conclusionsThe Patient Health Engagement model (PHE) provides a useful framework for understanding how people will respond to health threats such as pandemics. Therefore, intervention studies should focus on raising their levels of engagement to increase the effectiveness of educational initiatives intended to promote preventive behaviors.

Indexed as

Health Knowledge, Attitudes, PracticeStakeholder ParticipationAdolescentAdultAgedCommunicable Disease ControlCoronavirus InfectionsCOVID-19Feeding BehaviorFemaleGuideline AdherenceHumansItalyMaleMiddle AgedPandemics

Identifiers

PMID32915822
PMCPMC7485890
OpenAlexW3084682784

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.