Evidence map›Paper›PMID 33334272›Full record

ArticleGlobal health action2020

Ongoing debate on data governance principles for achieving Universal Health Coverage: a proposal to post-G20 Osaka Summit meetings.

Shuhei Nomura, Haruka Sakamoto, Aya Ishizuka, Yasushi Katsuma, Hidechika Akashi, Hiroaki Miyata

Abstract read
In one paragraph

Article in Global health action, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Shuhei NomuraDepartment of Health Policy and Management, School of Medicine, Keio University , Tokyo, Japan.ORCID 0000-0002-2963-7297
Haruka SakamotoDepartment of Health Policy and Management, School of Medicine, Keio University , Tokyo, Japan.ORCID 0000-0001-9003-7402
Aya IshizukaDepartment of Health Policy and Management, School of Medicine, Keio University , Tokyo, Japan.ORCID 0000-0003-3001-7818
Yasushi KatsumaInstitute for Global Health Policy Research (iGHP), National Center for Global Health and Medicine , Tokyo, Japan.ORCID 0000-0002-2957-9867
Hidechika AkashiBureau of International Health Cooperation, National Center for Global Health and Medicine , Tokyo, Japan.ORCID 0000-0002-2934-0071
Hiroaki MiyataDepartment of Health Policy and Management, School of Medicine, Keio University , Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Group of 20 Summit (G20) in Osaka, which Japan chaired for the first time in June 2019 has created a tailwind for achieving universal health coverage (UHC) globally. In response to the rapid digitalization, the G20 leaders commenced negotiations for the Osaka Track framework to formulate international rules on data flow across borders and systematize the concept of 'Data Free Flow with Trust (DFFT).' The strategic harnessing of the power of data to strengthen the healthcare system can allow for rapid and affordable progress toward achieving UHC. However, world leaders have yet to discuss what data governance approaches the Osaka Track will follow, or even on what values it will seek to create and maximize. In this paper, we propose a people-centered, trust-oriented approach as the key principle of data governance toward achieving UHC, using Japan's experience as an example. We believe that this approach is compatible with other prevailing approaches (e.g. the General Data Protection Regulation (GDPR) in the European Union), and can serve as a bridge to their conceptual differences. We hope that our proposed principles will be fully discussed in post-G20 Osaka Summit meetings.

Indexed as

Delivery of Health CareUniversal Health InsuranceHumansJapanLongitudinal StudiesData Free Flow with TrustData governancedata healthOsaka Trackuniversal health coverage

Identifiers

PMID33334272
PMCPMC7751421

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.