ArticleJournal of the American Medical Informatics Association : JAMIA2019
Investigating data accessibility of personal health apps.
Article in Journal of the American Medical Informatics Association : JAMIA, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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.
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Who cites it
7 citing papers in PubMed.
- Personal Health Data Tracking by Blind and Low-Vision People: Survey Study.Journal of medical Internet research · 2023Article
- Investigating the Interoperable Health App Ecosystem at the Start of the 21st Century Cures Act.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2022Review
- Willingness to Share Wearable Device Data for Research Among Mechanical Turk Workers: Web-Based Survey Study.Journal of medical Internet research · 2021Article
- Deploying Patient-Facing Application Programming Interfaces: Thematic Analysis of Health System Experiences.Journal of medical Internet research · 2020Article
- Updating HIPAA for the electronic medical record era.Journal of the American Medical Informatics Association : JAMIA · 2019Article
- Not the medical informatics of our founding mothers and fathers, or is it?Journal of the American Medical Informatics Association : JAMIA · 2019Article
- Sleep apps: current limitations and challenges.Sleep science (Sao Paulo, Brazil)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveDespite the potential values self-tracking data could offer, we have little understanding of how much access people have to "their" data. Our goal of this article is to unveil the current state of the data accessibility-the degree to which people can access their data-of personal health apps in the market. MATERIALS AND
methodsWe reviewed 240 personal health apps from the App Store and selected 45 apps that support semi-automated tracking. We characterized the data accessibility of these apps using two dimensions-data access methods and data types.
resultsMore than 90% of our sample apps (n = 41) provide some types of data access support, which include synchronizing data with a health platform (ie, Apple Health), file download, and application program interfaces. However, the two approachable data access methods for laypeople-health platform and file download-typically put a significant limit on data format, granularity, and amount, which constrains people from easily repurposing the data. DISCUSSION: Personal data should be accessible to the people who collect them, but existing methods lack sufficient support for people in accessing the fine-grained data. Lack of standards in personal health data schema as well as frequent changes in market conditions are additional hurdles to data accessibility.
conclusionsMany stakeholders including patients, healthcare providers, researchers, third-party developers, and the general public rely on data accessibility to utilize personal data for various goals. As such, improving data accessibility should be considered as an important factor in designing personal health apps and health platforms.
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Registered trials
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.