Evidence map›Paper›PMID 42428759›Full record

ArticleJournal of public health research2026

Strengthening public health data governance: A Co-regulatory framework for integrating wearable health data into health systems.

Chien-Hung Sung, Jui-Chu Lin

Abstract read
In one paragraph

Article in Journal of public health research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Chien-Hung SungGraduate Program in Technology Policy and Legal Affairs, Graduate Institute of Applied Science and Technology, National Taiwan University of Science and Technology (Taiwan Tech), Taipei, Taiwan.ORCID https://orcid.org/0009-0009-5264-3503
Jui-Chu LinGraduate Program in Technology Policy and Legal Affairs, Graduate Institute of Applied Science and Technology, National Taiwan University of Science and Technology (Taiwan Tech), Taipei, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This perspective article addresses systemic governance gaps in the integration of wearable health technologies into public health infrastructures. While high-frequency physiological data offer potential for chronic disease management and epidemiological surveillance, they remain largely siloed due to fragmented regulatory frameworks and limited data trustworthiness. Recent empirical evidence underscores the magnitude of this gap: a global meta-analysis of 141,193 participants reports a 77.2% willingness to share health data, while only 26.5% of U.S. wearable users actually share their data with clinicians despite a 78.4% stated willingness.

Indexed as

co-regulationdata stewardshipdata trustdesign-science policy analysishealth equityhealth systems resiliencepublic health governancewearable health data

Identifiers

PMID42428759
PMCPMC13346724

What OpenQuestion holds

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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.