Evidence map›Paper›PMID 42180638›Full record

ArticleFrontiers in health services2026

Health technology design considerations specific to Indigenous Data Sovereignty and implementation science.

Alec J Calac, Tiana McMann, Joseph Yracheta, Tim K Mackey

Abstract read
In one paragraph

Article in Frontiers in health services, 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

4 authors.

Alec J CalacUC San Diego School of Medicine, San Diego, CA, United States.
Tiana McMannGlobal Health Policy and Data Institute, San Diego, CA, United States.
Joseph YrachetaNative BioData Consortium, Eagle Butte, SD, United States.
Tim K MackeyUC San Diego School of Medicine, San Diego, CA, United States.

Funding

UC San Diego Medical Scientist Training ProgramT32GM154642 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Neil C Chi, Mary Kathleen Lewinski · 2025 to 2026
$2.9M
NIGMS NIH HHS T32 GM154642
6 · The paper itself

Abstract

There is growing attention to the importance of Indigenous Data Sovereignty (IDS) in the practice of medicine and public health, especially in the United States. Through a multi-year research collaborative between the University of California, San Diego and the Native BioData Consortium, it became clear that the use of an implementation science framework might guide the design of emerging digital health technologies best respecting the interests and priorities of Indigenous Peoples. In this Case Study, we discuss the integration of the Consolidated Framework for Implementation Research (CFIR) and Expert Recommendations for Implementing Change (ERIC) to inform the design of policies, programs, and interventions focused on improving Indigenous health. We explore the movement for IDS from the perspective of contextual concerns raised by Indigenous Peoples, researchers, and their allies specific to the design and implementation of digital technologies primarily in a North American context. We then explain how CFIR, ERIC, and similar resources can be used to design digital health technologies for use in Indigenous contexts.

Indexed as

blockchain technologydigital healthframeworkgenomicsimplementationIndigenousscience

Identifiers

PMID42180638
PMCPMC13190405

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.