Evidence map›Paper›PMID 37213757›Full record

ArticlePEC innovation2022

Addressing privacy concerns for mobile and wearable devices sensors: Small-group interviews with healthy adults and cancer survivors.

Grace Ellen Brannon, Sophia Mitchell, Yue Liao

Open access · goldAbstract read
In one paragraph

Article in PEC innovation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
3.1field-weighted citation impact, top 9% of its field
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

3 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

3 authors at 1 institution in 1 country.

Grace Ellen BrannonTenure-Track, Department of Communication, College of Liberal Arts, University of Texas at Arlington, 700 West Nedderman Drive, FAB 118, Arlington, TX 76019, United States of America.
Sophia MitchellDepartment of Communication, College of Liberal Arts, University of Texas at Arlington, United States of America.
Yue LiaoTenure-Track, Department of Kinesiology, College of Nursing and Health Innovation, University of Texas at Arlington, 500 West Nedderman Drive, MAC 147, Arlington, TX 76019, United States of America.
The University of Texas at Arlington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Mobile and wearable sensor technology is increasingly common and accessible. The aim of this study was to explore individuals' perceptions and acceptability of mobile and wearable sensors, as well as concerns. Methods: Purposive sampling was used to recruit non-patient adults ( Results: Participants reported that privacy was generally not a concern for sensor adoptions for physical activity health interventions except for health insurer access. Conclusion: The patient perspectives as reported in the findings illustrate the need for transparency between potential adopters and users of mobile and wearable devices and health care practitioners, as well as secure privacy policies for health insurers. Innovation: Older adults often are perceived as unwilling to adopt mHealth technologies for many reasons, including privacy concerns. This study examined an important patient population, cancer survivors, who are often overlooked yet may benefit from targeted health interventions using mHealth technologies, and compared their responses with a non-patient population for prevention purposes. Our findings suggest that one's lived health experiences (cancer survivorship) are more influential than one's age in adopting mHealth technologies.

Indexed as

InterviewsPrivacyTechnologyWearable sensors

Identifiers

PMID37213757
PMCPMC10194177
OpenAlexW4210409585

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.