Evidence map›Paper›PMID 38262998›Full record

ArticleBMC medical informatics and decision making2024

Participant characteristics and reasons for non-consent to health information linkage for research: experiences from the ATHENA COVID-19 study.

Kim Greaves, Amanda King, Zoltan Bourne, Jennifer Welsh, Mark Morgan, M Ximena Tolosa, Carissa Bonner, Tony Stanton, Michael Fryer, Rosemary Korda

Abstract read
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Article in BMC medical informatics and decision making, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

1 citing paper in PubMed.

  1. 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

10 authors.

Kim GreavesSunshine Coast University Hospital, Queensland Health, 6 Doherty Street, Birtinya, QLD, 4575, Australia. kim.greaves@health.qld.gov.au.
Amanda KingSunshine Coast University Hospital, Queensland Health, 6 Doherty Street, Birtinya, QLD, 4575, Australia. Amanda.King@health.qld.gov.au.
Zoltan BourneHinterland Health, Maple Street, Maleny, QLD, 4551, Australia.
Jennifer WelshNational Centre for Epidemiology and Population Health, ANU College of Health and Medicine, Australian National University, Canberra, ACT 2600, Australia.
Mark MorganFaculty of Health Sciences and Medicine, Bond University, Gold Coast, QLD, 4229, Australia.
M Ximena TolosaQueensland Department of Health, Communicable Disease Branch, 15 Butterfield St, Herston, QLD, 4001, Australia.
Carissa BonnerSchool of Public Health, Sydney Medical School, University of Sydney, Sydney, NSW, 2006, Australia.
Tony StantonSunshine Coast University Hospital, Queensland Health, 6 Doherty Street, Birtinya, QLD, 4575, Australia.
Michael FryerSunshine Coast University Hospital, Queensland Health, 6 Doherty Street, Birtinya, QLD, 4575, Australia.
Rosemary KordaNational Centre for Epidemiology and Population Health, ANU College of Health and Medicine, Australian National University, Canberra, ACT 2600, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe linkage of primary care, hospital and other health registry data is a global goal, and a consent-based approach is often used. Understanding the attitudes of why participants take part is important, yet little is known about reasons for non-participation. The ATHENA COVID-19 feasibility study investigated: 1) health outcomes of people diagnosed with COVID-19 in Queensland, Australia through primary care health data linkage using consent, and 2) created a cohort of patients willing to be re-contacted in future to participate in clinical trials. This report describes the characteristics of participants declining to participate and reasons for non-consent.

methodsPatients diagnosed with COVID-19 from January 1

resultsNine hundred and ninety-five participants were approached and 842(85%) reached a consent decision. 581(69%), 615(73%) and 629(75%) consented to data extraction, recontact, or both, respectively. Mean (range) age of consenters and non-consenters were 50.6(22-77) and 46.1(22-77) years, respectively. Adjusting for age, gender and remoteness, older participants were more likely to consent than younger (aOR 1.02, 95%CI 1.01 to 1.03). The least socio-economically disadvantaged were more likely to consent than the most disadvantaged (aOR 2.20, 95% 1.33 to 3.64). There was no difference in consent proportions regarding gender or living in more remote regions. The main reasons for non-consent were 'not interested in research' (37%), 'concerns about privacy' (15%), 'not registered with a GP' (8%) and 'too busy/no time' (7%). 'No reason' was given in 20%.

conclusionYounger participants and the more socio-economically deprived are more likely to non-consent to primary care data linkage. Lack of patient interest in research, time required to participate and privacy concerns, were the most common reasons cited for non-consent. Future health care data linkage studies addressing these issues may prove helpful.

Indexed as

COVID-19AustraliaDatabases, FactualHealth FacilitiesHospitalsHumansATHENACOVID-19Data linkageNon-consentPrimary health careRecontactSharing

Identifiers

PMID38262998
PMCPMC10807191

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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.