Evidence map›Paper›PMID 39430985›Full record

ArticleJournal of preventive medicine and hygiene2024

Trust levels toward health care and government: insights from TrustMe, an Italian cross-sectional study.

Alessandro Scacchi, Giuseppina Lo Moro, Gianmarco Giacomini, Federico Torchio, Carla Maria Zotti, Fabrizio Bert, Roberta Siliquini

Abstract read
In one paragraph

Article in Journal of preventive medicine and hygiene, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Alessandro ScacchiDepartment of Public Health Sciences, University of Turin, Turin, Italy.
Giuseppina Lo MoroDepartment of Public Health Sciences, University of Turin, Turin, Italy.
Gianmarco GiacominiDepartment of Public Health Sciences, University of Turin, Turin, Italy.
Federico TorchioASL TO5, Chieri, Italy.
Carla Maria ZottiDepartment of Public Health Sciences, University of Turin, Turin, Italy.
Fabrizio BertDepartment of Public Health Sciences, University of Turin, Turin, Italy.
Roberta SiliquiniDepartment of Public Health Sciences, University of Turin, Turin, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Negative trends of trust in governments have been described around the world. This study aimed to describe the distrust level in the National Health Service (NHS) and in governmental management of the pandemic, one year after the start of the COVID-19 vaccination campaign. Methods: A survey was distributed in February 2022 among a convenience sample. Outcomes were measured through validated tools: Revised Health Care System Distrust Scale, and the COVID-SCORE-10 questionnaire. Associations were assessed using multiple linear regression models. Results: A total of 2111 questionnaires were collected (54.8% female, median age 43 years [IQR = 34-50]). Distrust in the NHS had a median level of 12 [IQR = 10-14], while trust in the government had a level of 47 [IQR = 35-60]. COVID-19 vaccine hesitancy, high educational attainment, worse economic status, low conventional and digital health literacy, as well as the presence of conspiracy thoughts and distrust in the NHS were significantly associated with lower trust in government during the COVID-19 pandemic. Lack of trust in governmental actions, along with low education and health literacy, as well as the presence of conspiracy thoughts and worse perceptions of one's own health, were associated with greater distrust in the NHS. Conclusions: Overall, low levels of trust in both the government and the NHS have emerged. Since the determinants of reduced trust in institutions can be very diverse and that such levels of distrust after a pandemic can last for an entire generation, tailored interventions are needed to rebuild adequate levels of trust in institutions among the population.

Indexed as

COVID-19GovernmentTrustAdultCOVID-19 VaccinesCross-Sectional StudiesFemaleHealth LiteracyHumansItalyMaleMiddle AgedSARS-CoV-2State MedicineSurveys and QuestionnairesVaccination HesitancyCOVID-19 VaccinesCOVID-19ItalySurveyTrust

Identifiers

PMID39430985
PMCPMC11487732

What OpenQuestion holds

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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.