Evidence map›Paper›PMID 37308996›Full record

ArticleBMC health services research2023

Frequent hospital presenters' use of health information during COVID-19: results of a cross-sectional survey.

Rebecca L Jessup, Cassandra Bramston, Polina Putrik, Cilla Haywood, Mark Tacey, Beverley Copnell, Natali Cvetanovska, Yingting Cao, Anthony Gust, Donald Campbell and 6 more

Abstract read
In one paragraph

Article in BMC health services research, 2023. 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
  3. Article
  4. Article
  5. 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

16 authors.

Rebecca L JessupStaying Well and Hospital Without Walls Program, Northern Health, Epping, Australia. Rebecca.jessup@nh.org.au.
Cassandra BramstonStaying Well and Hospital Without Walls Program, Northern Health, Epping, Australia.
Polina PutrikDepartment of Family Medicine, Care and Public Health Research Institute, Maastrich University, Maastricht, Netherlands.
Cilla HaywoodStaying Well and Hospital Without Walls Program, Northern Health, Epping, Australia.
Mark TaceyDepartment of Medicine, University of Melbourne, Parkville, Australia.
Beverley CopnellSchool of Nursing and Midwifery, La Trobe University, Bundoora, Australia.
Natali CvetanovskaStaying Well and Hospital Without Walls Program, Northern Health, Epping, Australia.
Yingting CaoSchool of Allied Health, Human Services and Sport, La Trobe University, Bundoora, Australia.
Anthony GustDigital Health, Northern Health, Epping, Australia.
Donald CampbellStaying Well and Hospital Without Walls Program, Northern Health, Epping, Australia.
Brian OldenburgAcademic and Research Collaborative in Health, LaTrobe University, Melbourne, Bundoora, Australia.
Hala MehdiOffice of Research, Northern Health, Epping, Australia.
Michael KirkDivision of Medicine, Rockhampton Hospital, Rockhampton, Australia.
Emiliano ZucchiEthnic Communities' Council of Victoria, Coburg, Australia.
Adam I SemciwSchool of Allied Health, Human Services and Sport, La Trobe University, Bundoora, Australia.
Alison BeauchampSchool of Rural Health, Monash University, Clayton, Australia.

Funding

Northern Health Research Foundation 24-2020
6 · The paper itself

Abstract

backgroundHigh-frequency hospital users often present with chronic and complex health conditions and are at increased risk of serious morbidity and mortality if they contract COVID-19. Understanding where high-frequency hospital users are sourcing their information, whether they understand what they find, and how they apply the information to prevent the spread of COVID-19 is essential for health authorities to be able to target communication approaches.

methodsCross-sectional survey of 200 frequent hospital users (115 with limited English proficiency) informed by the WHO's "Rapid, simple, flexible behavioral insights on COVID-19". Outcome measures were source of, and trust in information, and knowledge of symptoms, preventive strategies, restrictions, and identification of misinformation.

resultsThe most frequently cited source of information was television (n = 144, 72%) followed by the internet (n = 84, 42%). One in four television users sought their information from overseas news outlets from their country of origin, while for those using the internet, 56% relied on Facebook and other forms of social media including YouTube and WeChat. Overall, 41.2% of those surveyed had inadequate knowledge about symptoms, 35.8% had inadequate knowledge about preventative strategies, 30.2% had inadequate knowledge about government-imposed restrictions, and 69% believed in misinformation. Half of the respondents (50%) trusted all information, and only one in five (20%) were uncertain or untrusting. English-speaking participants were almost three times more likely to have adequate knowledge about symptoms (OR 2.69, 95%CI 1.47;4.91) and imposed restrictions (OR 2.10 95%CI 1.06; 4.19), and 11 times more likely to recognize misinformation (OR 11.52 95%CI 5.39; 24.60) than those with limited English.

conclusionWithin this population of high-frequency hospital users with complex and chronic conditions, many were sourcing their information from less trustworthy or locally relevant sources, including social media and overseas news outlets. Despite this, at least half were trusting all the information that they found. Speaking a language other than English was a much greater risk factor for having inadequate knowledge about COVID-19 and believing in misinformation. Health authorities must look for methods to engage diverse communities, and tailor health messaging and education in order to reduce disparities in health outcomes.

Indexed as

COVID-19CommunicationCross-Sectional StudiesHospitalsHumansLanguageCOVID-19Health communicationHealth literacyInfodemicMisinformation

Identifiers

PMID37308996
PMCPMC10258478

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.