Evidence map›Paper›PMID 28855147›Full record

ArticleJMIR mHealth and uHealth2017

Consent Processes for Mobile App Mediated Research: Systematic Review.

Sarah Moore, Anne-Marie Tassé, Adrian Thorogood, Ingrid Winship, Ma'n Zawati, Megan Doerr

Abstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Informing Informed Consent for HIV Research.Journal of empirical research on human research ethics : JERHRE · 2020
    Article
  14. Review
  15. Article
  16. Expert Perspectives on Oversight for Unregulated mHealth Research: Empirical Data and Commentary.The Journal of law, medicine & ethics : a journal of the American Society of Law, Medicine & Ethics · 2020
    Article
  17. Article
  18. Replacing Paper Informed Consent with Electronic Informed Consent for Research in Academic Medical Centers: A Scoping Review.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2020
    Article
  19. Article
  20. 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

6 authors.

Sarah MooreSage Bionetworks, Seattle, WA, United States.ORCID http://orcid.org/0000-0003-4715-4763
Anne-Marie TasséPublic Population Project in Genomics and Society, Montreal, QC, Canada.ORCID http://orcid.org/0000-0003-1765-1785
Adrian ThorogoodCenter of Genomics and Policy, McGill University, Montreal, QC, Canada.ORCID http://orcid.org/0000-0001-5078-8164
Ingrid WinshipMelbourne Health, University of Melbourne, Melbourne, Australia.ORCID http://orcid.org/0000-0001-8535-6003
Ma'n ZawatiCenter of Genomics and Policy, McGill University, Montreal, QC, Canada.ORCID http://orcid.org/0000-0002-8905-6259
Megan DoerrSage Bionetworks, Seattle, WA, United States.ORCID http://orcid.org/0000-0003-2383-5978

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSince the launch of ResearchKit on the iOS platform in March 2015 and ResearchStack on the Android platform in June 2016, many academic and commercial institutions around the world have adapted these frameworks to develop mobile app-based research studies. These studies cover a wide variety of subject areas including melanoma, cardiomyopathy, and autism. Additionally, these app-based studies target a variety of participant populations, including children and pregnant women.

objectiveThe aim of this review was to document the variety of self-administered remote informed consent processes used in app-based research studies available between May and September 2016. Remote consent is defined as any consenting process with zero in-person steps, when a participant is able to join a study without ever seeing a member of the research team. This type of review has not been previously conducted. The research community would benefit from a rigorous interrogation of the types of consent taken as part of the seismic shift to entirely mobile meditated research studies.

methodsThis review examines both the process of information giving and specific content shared, with special attention to data privacy, aggregation, and sharing.

resultsConsistency across some elements of the app-based consent processes was found; for example, informing participants about how data will be curated from the phone. Variations in other elements were identified; for example, where specific information is shared and the level of detail disclosed. Additionally, several novel elements present in eConsent not typically seen in traditional consent for research were highlighted.

conclusionsThis review advocates the importance of participant informedness in a novel and largely unregulated research setting.

Indexed as

mHealth, informed consent, smartphone, cell phone, mobile applications, privacy, research ethics

Identifiers

PMID28855147
PMCPMC5597795

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.