Evidence map›Paper›PMID 36787325›Full record

ArticlePloS one2023

Development of a data platform for monitoring personal health records in Japan: The Sustaining Health by Integrating Next-generation Ecosystems (SHINE) Study.

Haruhisa Fukuda, Fumiko Murata, Sachie Azuma, Masahiro Fujimoto, Shoma Kudo, Yoshiyuki Kobayashi, Kenshi Saho, Kazumi Nakahara, Rei Ono

Abstract read
In one paragraph

Article in PloS one, 2023. 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. 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

9 authors.

Haruhisa FukudaDepartment of Health Care Administration and Management, Kyushu University Graduate School of Medical Sciences, Fukuoka, Japan.ORCID 0000-0003-1120-1548
Fumiko MurataDepartment of Health Care Administration and Management, Kyushu University Graduate School of Medical Sciences, Fukuoka, Japan.
Sachie AzumaDepartment of Health Care Administration and Management, Kyushu University Graduate School of Medical Sciences, Fukuoka, Japan.
Masahiro FujimotoHuman Augmentation Research Center, National Institute of Advanced Industrial Science and Technology (AIST), Chiba, Japan.
Shoma KudoHuman Augmentation Research Center, National Institute of Advanced Industrial Science and Technology (AIST), Chiba, Japan.ORCID 0000-0002-1346-7035
Yoshiyuki KobayashiHuman Augmentation Research Center, National Institute of Advanced Industrial Science and Technology (AIST), Chiba, Japan.
Kenshi SahoDepartment of Intelligent Robotics, Toyama Prefectural University School of Engineering, Toyama, Japan.
Kazumi NakaharaDepartment of Rehabilitation, Faculty of Health Sciences, Kumamoto Health Science University, Kumamoto, Japan.
Rei OnoDepartment of Public Health, Kobe University Graduate School of Health Sciences, Hyogo, Japan.ORCID 0000-0002-0176-2870

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Sustaining Health by Integrating Next-generation Ecosystems (SHINE) Study was developed as a data platform that incorporates personal health records (PHRs) into health-related data at the municipal level in Japan. This platform allows analyses of the associations between PHRs and future health statuses, and supports the production of evidence for developing preventive care interventions. Herein, we introduce the SHINE Study's profile and describe its use in preliminary analyses.

methodsThe SHINE Study involves the collection of participants' health measurements and their addition to various health-related data from the Longevity Improvement & Fair Evidence (LIFE) Study. With cooperation from municipal governments, measurements can be acquired from persons enrolled in government-led long-term care prevention classes and health checkups who consent to participate in the SHINE Study. For preliminary analyses, we collected salivary test measurements, lifelog measurements, and gait measurements; these were linked with the LIFE Study's database. We analyzed the correlations between these measurements and the previous year's health care expenditures.

resultsWe successfully linked PHR data of 33 participants for salivary test measurements, 44 participants for lifelog measurements, and 32 participants for gait measurements. Only mean torso speed in the gait measurements was significantly correlated with health care expenditures (r = -0.387, P = 0.029).

conclusionThe SHINE Study was developed as a data platform to collect and link PHRs with the LIFE Study's database. The analyses undertaken with this platform are expected to contribute to the development of preventive care tools and promote health in Japan.

Indexed as

EcosystemHealth Records, PersonalHealth PromotionHealth StatusHumansJapan

Identifiers

PMID36787325
PMCPMC9928020

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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.