Evidence map›Paper›PMID 35357318›Full record

ArticleJMIR medical informatics2022

Foundations for Meaningful Consent in Canada's Digital Health Ecosystem: Retrospective Study.

Nelson Shen, Iman Kassam, Haoyu Zhao, Sheng Chen, Wei Wang, Sarah Wickham, Gillian Strudwick, Abigail Carter-Langford

Abstract read
In one paragraph

Article in JMIR medical informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

8 authors.

Nelson ShenCentre for Complex Interventions, Centre for Addiction and Mental Health, Toronto, ON, Canada.ORCID https://orcid.org/0000-0003-1788-8176
Iman KassamCentre for Complex Interventions, Centre for Addiction and Mental Health, Toronto, ON, Canada.ORCID https://orcid.org/0000-0001-9920-3243
Haoyu ZhaoCentre for Complex Interventions, Centre for Addiction and Mental Health, Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-0541-8495
Sheng ChenCentre for Complex Interventions, Centre for Addiction and Mental Health, Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-3078-5545
Wei WangCentre for Complex Interventions, Centre for Addiction and Mental Health, Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-0336-506X
Sarah WickhamCanada Health Infoway, Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-5159-9995
Gillian StrudwickCentre for Complex Interventions, Centre for Addiction and Mental Health, Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-1080-7372
Abigail Carter-LangfordCanada Health Infoway, Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-5137-4606

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCanadians are increasingly gaining web-based access to digital health services, and they expect to access their data from these services through a central patient access channel. Implementing data sharing between these services will require patient trust that is fostered through meaningful consent and consent management. Understanding user consent requirements and information needs is necessary for developing a trustworthy and transparent consent management system.

objectiveThe objective of this study is to explore consent management preferences and information needs to support meaningful consent.

methodsA secondary analysis of a national survey was conducted using a retrospective descriptive study design. The 2019 cross-sectional survey used a series of vignettes and consent scenarios to explore Canadians' privacy perspectives and preferences regarding consent management. Nonparametric tests and logistic regression analyses were conducted to identify the differences and associations between various factors.

resultsOf the 1017 total responses, 716 (70.4%) participants self-identified as potential users. Of the potential users, almost all (672/716, 93.8%) felt that the ability to control their data was important, whereas some (385/716, 53.8%) believed that an all or none control at the data source level was adequate. Most potential users preferred new data sources to be accessible by health care providers (546/716, 76.3%) and delegated parties (389/716, 54.3%) by default. Prior digital health use was associated with greater odds of granting default access when compared with no prior use, with the greatest odds of granting default access to digital health service providers (odds ratio 2.17, 95% CI 1.36-3.46). From a list of 9 information elements found in consent forms, potential users selected an average of 5.64 (SD 2.68) and 5.54 (SD 2.85) items to feel informed in consenting to data access by care partners and commercial digital health service providers, respectively. There was no significant difference in the number of items selected between the 2 scenarios (P>.05); however, there were significant differences (P<.05) in information types that were selected between the scenarios.

conclusionsA majority of survey participants reported that they would register and use a patient access channel and believed that the ability to control data access was important, especially as it pertains to access by those outside their care. These findings suggest that a broad all or none approach based on data source may be accepted; however, approximately one-fifth of potential users were unable to decide. Although vignettes were used to introduce the questions, this study showed that more context is required for potential users to make informed consent decisions. Understanding their information needs will be critical, as these needs vary with the use case, highlighting the importance of prioritizing and tailoring information to enable meaningful consent.

Indexed as

Canadaconsentdigital healtheConsenthealth informaticshealth information exchangepatient perspectiveprivacytrust

Identifiers

PMID35357318
PMCPMC9015739

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.