Evidence map›Paper›PMID 27688250›Full record

ArticleTranslational behavioral medicine2016

Engaging research participants to inform the ethical conduct of mobile imaging, pervasive sensing, and location tracking research.

Camille Nebeker, Tiffany Lagare, Michelle Takemoto, Brittany Lewars, Katie Crist, Cinnamon S Bloss, Jacqueline Kerr

Abstract read
In one paragraph

Article in Translational behavioral medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 citing papers in PubMed.

  1. Article
  2. A Method for Enabling Digital Health Technologies in Clinical and Translational Research at an Academic Medical Center.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2025
    Article
  3. Article
  4. Considerations for the Design of Informed Consent in Digital Health Research: Participant Perspectives.Journal of empirical research on human research ethics : JERHRE · 2024
    Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Optimizing Ethics Engagement in Research: Learning from the Ethical Complexities of Studying Opioid Use in Pregnancy.The Journal of law, medicine & ethics : a journal of the American Society of Law, Medicine & Ethics · 2022
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  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

7 authors.

Camille NebekerCenter for Wireless and Population Health Systems, The Qualcomm Institute, Calit2, La Jolla, CA, USA. nebeker@ucsd.eng.edu.ORCID 0000-0001-6819-1796
Tiffany LagareDepartment of Family Medicine and Public Health, School of Medicine, University of California, San Diego, CA, USA.
Michelle TakemotoCenter for Wireless and Population Health Systems, The Qualcomm Institute, Calit2, La Jolla, CA, USA.
Brittany LewarsDepartment of Family Medicine and Public Health, School of Medicine, University of California, San Diego, CA, USA.
Katie CristDepartment of Family Medicine and Public Health, School of Medicine, University of California, San Diego, CA, USA.
Cinnamon S BlossCenter for Wireless and Population Health Systems, The Qualcomm Institute, Calit2, La Jolla, CA, USA.
Jacqueline KerrCenter for Wireless and Population Health Systems, The Qualcomm Institute, Calit2, La Jolla, CA, USA.

Funding

Validating Machine-Learned Classifiers of Sedentary Behavior and Physical ActivitR01CA164993 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KERR, JACQUELINE · 2012 to 2015
$2.2M
Impact of Privacy Environments for Personal Health Data on PatientsR01HG008753 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BLOSS, CINNAMON S · 2015 to 2017
$2.0M
NCI NIH HHS R01 CA164993NHGRI NIH HHS R01 HG008753
6 · The paper itself

Abstract

Researchers utilize mobile imaging, pervasive sensing, social media, and location tracking (MISST) technologies to observe and intervene with participants in their natural environment. The use of MISST methods and tools introduces unique ethical issues due to the type and quantity of data, and produces raising new challenges around informed consent, risk assessment, and data management. Since MISST methods are relatively new in behavioral research, there is little documented evidence to guide institutional review board (IRB) risk assessment and inform appropriate risk management strategies. This study was conducted to contribute the participant perspectives when considering ethical and responsible practices. Participants (n = 82) enrolled in an observational study where they wore several MISST devices for 1 week completed an exit survey. Survey items focused on the following: 1-device comfort, 2-informed consent, 3-privacy protections, and 4-bystander engagement. The informed consent process reflected participant actual experience. Device comfort and privacy were raised as concerns to both the participants and bystanders. While the majority of the participants reported a positive experience, it is important to note that the participants were volunteers who were not mandated to wear tracking devices and that persons who are mandated may not have a similar response. Findings support strategies proposed in the Kelly et al. (2013) ethical framework, which emphasizes procedures to improve informed consent, protect privacy, manage data, and respect bystander rights when using a wearable camera.

Indexed as

ResearchAdultAgedBehavioral ResearchCell PhoneConfidentialityEthics Committees, ResearchFemaleHumansInformed ConsentMaleMiddle AgedPrivacyRisk AssessmentSocial MediaVideotape RecordingGeo-locationGISGPSInformed consentInstitutional review boardIRBLocation trackingmHealthMobile healthPervasive sensingPrivacyResearch ethicsSenseCamWearable camera

Identifiers

PMID27688250
PMCPMC5110499

What OpenQuestion holds

Textmetadata
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.