Evidence map›Paper›PMID 31304345›Full record

ArticleNPJ digital medicine2018

NIH support of mobile, imaging, pervasive sensing, social media and location tracking (MISST) research: laying the foundation to examine research ethics in the digital age.

Sarah Dunseath, Nadir Weibel, Cinnamon S Bloss, Camille Nebeker

Abstract read
In one paragraph

Article in NPJ digital medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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. Article
  9. Article
  10. Predictive Analytics and the Return of "Research" Information to Participants.Applied Human Factors and Ergonomics Conference · 2020
    Article
  11. Article
  12. Article
  13. An overview of GeoAI applications in health and healthcare.International journal of health geographics · 2019
    Article
  14. Article
  15. 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

4 authors.

Sarah Dunseath1School of Medicine, University of California San Diego, La Jolla, CA USA.
Nadir Weibel2Center for Wireless and Population Health Systems, Qualcomm Institute, University of California San Diego, La Jolla, CA USA.
Cinnamon S Bloss2Center for Wireless and Population Health Systems, Qualcomm Institute, University of California San Diego, La Jolla, CA USA.
Camille Nebeker2Center for Wireless and Population Health Systems, Qualcomm Institute, University of California San Diego, La Jolla, CA USA.

Funding

VirologyP30AI036214 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Maile Ann Young Karris · 1994 to 2026
$78.4M
Primary Infection Resource Consortium (PIRC)R24AI106039 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LITTLE, SUSAN JANET · 2013 to 2021
$23.1M
Revealing Reservoirs during Rebound (R3)P01AI131385 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DEGRUTTOLA, VICTOR GERARD · 2017 to 2021
$8.7M
Interdisciplinary Research Fellowship in NeuroAIDSR25MH081482 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MARIANA CHERNER · 2007 to 2026
$5.2M
SMART: A Social and Mobile Weight Control Program for Young AdultsU01HL096715 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PATRICK, KEVIN · 2009 to 2013
$4.9M
Social Mobile Approaches to Reduce Weight (SMART) 2.0R01HL136769 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HEKLER, ERIC · 2018 to 2022
$3.7M
Efficacy of ART to Interrupt HIV Transmission NetworksR01MH100974 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LITTLE, SUSAN JANET · 2014 to 2018
$3.2M
UnBIASED: Understanding Biased patient-provider Interaction And Supporting Enhanced DiscourseR01LM013301 · NLM · UNIVERSITY OF WASHINGTON · PI HARTZLER, ANDREA L. · 2019 to 2023
$3.0M
UNDERSTAND: Uplifting the New generation through DBT Education and Resilience for Social Triggers, Anxiety, Negativity, and DepressionR01MH140883 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Nadir Weibel · 2026 to 2026
$2.1M
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
SCH: INT: VOLI: Voice Assistant for Quality of Life and Healthcare Improvement in Aging Populations R56AG067393 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FARCAS, EMILIA · 2019 to 2020
$599k
AHRQ HHS R01 HS021290NHGRI NIH HHS R01 HG008753NHLBI NIH HHS R01 HL136769NHLBI NIH HHS U01 HL096715NIAID NIH HHS P01 AI131385NIAID NIH HHS P30 AI036214NIAID NIH HHS R24 AI106039NIA NIH HHS R56 AG067393NIMH NIH HHS R01 MH100974NIMH NIH HHS R01 MH140883NIMH NIH HHS R25 MH081482NLM NIH HHS R01 LM013301
6 · The paper itself

Abstract

Mobile Imaging, pervasive Sensing, Social media and location Tracking (MISST) tools used in research are raising new ethical challenges for scientists and the Institutional Review Boards (IRBs) charged with protecting human participants. Yet, little guidance exists to inform the ethical design and the IRB's regulatory review of MISST research. MISST tools/methods produce personal health data that is voluminous and granular and, which may not be subject to policies like the Health Information Portability and Accessibility Act (HIPAA). The NIH Research Portfolio Online Reporting Tools (RePORTER) database was used to identify the number, nature and scope of MISST-related studies supported by the NIH at three time points: 2005, 2010 and 2015. The goal was to: 1-examine the extent to which the NIH is supporting this research and, 2-identify how these tools are being used in research. The number of funded MISST research projects increased 384% from 2005 to 2015. Results revealed that while funding of MISST research is growing, it only represented about 1% of the total NIH budget in 2015. However, the number of institutes, agencies, and centers supporting MISST research increased by roughly 50%. Additionally, the scope of MISST research is diverse ranging from use of social media to track disease transmission to personalized interventions delivered through mobile health applications. Given that MISST research represents about 1% of the NIH budget and is on an increasing upward trajectory, support for research that can inform the ethical, legal and social issues associated with this research is critical.

Indexed as

EthicsFundingTranslational research

Identifiers

PMID31304345
PMCPMC6548337

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.