Evidence map›Paper›PMID 37311143›Full record

ArticleSalud colectiva2023

[COVID-19 risk groups and their strategies for navigating information overload during the first year of the pandemic in Chile].

Verónica Rocamora Villena, Macarena Peña Y Lillo, Patricia Junge Cerda, Cecilia Prieto Bravo

Open access · diamondAbstract readEnglish Abstract
In one paragraph

Article in Salud colectiva, 2023. 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
1.0field-weighted citation impact, top 24% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

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

4 authors at 4 institutions in 2 countries.

Verónica Rocamora VillenaDoctora en Comunicación Social. Directora, Magíster en Ciencias de la Comunicación, Universidad de Santiago de Chile, Santiago, Chile.ORCID 0000-0001-7611-8820
Macarena Peña Y LilloDoctora en Comunicación. Directora, Magíster en Comunicación, Universidad Diego Portales, Santiago, Chile.
Patricia Junge CerdaDoctora en Antropología. Profesora adjunta, Departamento de Fonoaudiología, Universidad de Chile, Santiago, Chile.ORCID 0000-0001-5751-7500
Cecilia Prieto BravoMaster in Health Inequalities and Public Policy. Candidata a Doctora, University of Edinburgh; Edimburgo, Escocia.ORCID 0000-0002-4096-3501
Faculty of Public Health · GBUniversidad de Los Andes, Chile · CLUniversidad de Santiago de Chile · CLUniversidad Diego Portales · CL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a part of the EIS-COVID project on the access and use of information during the COVID-19 pandemic in Chile, the objective of this paper was to ascertain how people's informational environment was constructed during the first stage of the pandemic. It discusses the results of a qualitative study of people belonging to risk groups for COVID-19: people over 18 and under 65 with chronic diseases (hypertension and diabetes) and people 65 and over. Ninety semi-structured interviews were conducted in the Metropolitan and Valparaíso regions between September 2020 and January 2021. The results reveal the problematic nature of the information overload encountered by these groups and the strategies they used to navigate it: a) information avoidance; b) content corroboration and active search for reliable sources; and c) differentiated media use.

Indexed as

COVID-19HypertensionChileHumansPandemicsQualitative ResearchAccess to InformationChileChronic DiseaseCOVID-19 PandemicHealth CommunicationInformation Avoidance

Identifiers

PMID37311143
PMCPMC11930319
OpenAlexW4319171014

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.