Evidence map›Paper›PMID 35987784›Full record

ArticleHealth policy (Amsterdam, Netherlands)2022

COVID-19 vaccinations: An overview of the Italian national health system's online communication from a citizen perspective.

L Pirrotta, E Guidotti, C Tramontani, E Bignardelli, G Venturi, S De Rosis

Abstract read
In one paragraph

Article in Health policy (Amsterdam, Netherlands), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
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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

6 authors.

L PirrottaManagement and Healthcare Laboratory, Institute of Management and Department EMbeDS, Scuola Superiore Sant'Anna, Via S. Zeno, 2, 56127, Pisa, Italy. Electronic address: luca.pirrotta@santannapisa.it.
E GuidottiManagement and Healthcare Laboratory, Institute of Management and Department EMbeDS, Scuola Superiore Sant'Anna, Via S. Zeno, 2, 56127, Pisa, Italy.
C TramontaniManagement and Healthcare Laboratory, Institute of Management and Department EMbeDS, Scuola Superiore Sant'Anna, Via S. Zeno, 2, 56127, Pisa, Italy.
E BignardelliAGENAS, National Agency for Regional Health Services, Via Piemonte, 60, 00187, Roma, Italy.
G VenturiItalian Natural Language Processing Laboratory (ItaliaNLP Lab), Institute of Computational Linguistics "A. Zampolli" (ILC-CNR), Via G. Moruzzi, 1, 56124, Pisa, Italy.
S De RosisManagement and Healthcare Laboratory, Institute of Management and Department EMbeDS, Scuola Superiore Sant'Anna, Via S. Zeno, 2, 56127, Pisa, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 vaccine hesitancy is still widespread. During the pandemic, the internet has been the preferred channel for health-related information, especially for less-educated citizens who tend to be the most hesitant about vaccination. A well-structured web communication strategy could help both to overcome vaccine hesitancy and to ensure equity in healthcare service access. This study investigated how the various regional and local health authorities in Italy used their institutional websites to inform users about COVID-19 vaccinations between March and April 2021. We browsed 129 institutional websites, checking the availability, quality and quantity, actionability and readability of information using a literature-based common grid. Descriptive statistics and statistical tests were performed. The online public dissemination of COVID-19 vaccination information in Italy was fragmented, both across and within regions. The side effects of vaccinations, were often not reported on the websites, thus missing an opportunity to enhance vaccination uptake. More focus should also be placed on readability, since readability indexes showed that they were difficult to understand. Our research revealed that several actions could be implemented to enhance online communication on COVID-19 vaccination. For instance, simplifying texts can make them more understandable and the information reported actionable.

Indexed as

COVID-19COVID-19 VaccinesCommunicationHumansPandemicsVaccinationCOVID-19 VaccinesCommunicationCovid-19ItalyOnline informationReadabilityVaccine

Identifiers

PMID35987784
PMCPMC9349029

What OpenQuestion holds

Textmetadata
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.