Evidence map›Paper›PMID 38006000›Full record

ArticleVaccines2023

Information Consumption, Trust Dynamics and COVID-19 Vaccine Hesitancy among Older Adults: Implications for Health Messaging.

Yiyi Wu, Mark Brennan-Ing

Open access · goldAbstract read
In one paragraph

Article in Vaccines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. 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

2 authors at 2 institutions in 1 country.

Yiyi WuBrookdale Center for Healthy Aging, Hunter College, The City University of New York, New York, NY 10035, USA.
Mark Brennan-IngBrookdale Center for Healthy Aging, Hunter College, The City University of New York, New York, NY 10035, USA.
City University of New York · USHunter College · US

Funding

Mother Cabrini Health Foundation Not Applicable
6 · The paper itself

Abstract

Staying well informed about the evolving COVID-19 pandemic and vaccine recommendations is vital for older adults, especially for low-income older adults, who have been disproportionately impacted by the pandemic. However, the overwhelming infodemic poses a significant challenge, affecting vaccine decision-making. This study explores how a group of predominantly low-income older adults navigate health information and how their trust in information and vaccines evolves throughout the pandemic. Our objective is to provide insights that will guide future public health messaging for this demographic. Analyzing qualitative data from 77 older adults (aged 65 to 94) collected through focus groups and interviews, our findings reveal that participants' experiences with information overload eroded their trust in authority, leading to vaccine hesitancy. Moreover, the need for a booster has affected belief in vaccine safety and efficacy. As participants lost faith in the media and authoritative sources, they increasingly leaned on personal networks for guidance. These results underscore the urgent necessity for clear, unambiguous ongoing vaccine guidance to restore institutional trust among older adults. Additionally, recognizing the influential role of direct networks in vaccine decisions, integrating care workers, service providers, and peer-to-peer support into health messaging mechanisms could prove valuable.

Indexed as

COVID-19health messagingimmigrantslow-income populationsolder adultsracial and ethnic minoritiestrustvaccine hesitancy

Identifiers

PMID38006000
PMCPMC10675093
OpenAlexW4388081735

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.