Evidence map›Paper›PMID 32568728›Full record

ArticleJMIR mHealth and uHealth2020

Health Observation App for COVID-19 Symptom Tracking Integrated With Personal Health Records: Proof of Concept and Practical Use Study.

Keiichi Yamamoto, Tsubasa Takahashi, Miwa Urasaki, Yoichi Nagayasu, Tomonari Shimamoto, Yukiko Tateyama, Keiichi Matsuzaki, Daisuke Kobayashi, Satoshi Kubo, Shigeyuki Mito and 3 more

Open access · goldAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 6 pooled it
15.6field-weighted citation impact, top 1% of its field
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

27 citing papers in PubMed, 6 syntheses or guidelines pooled it, 64 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. COVID-19 Mobile Apps: A Systematic Review of the Literature.Journal of medical Internet research · 2020
    Pooled it
  6. Pooled it
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

13 authors at 3 institutions in 1 country.

Keiichi YamamotoInformation Technology Center, Wakayama Medical University, Wakayama, Japan.ORCID 0000-0003-3278-5001
Tsubasa TakahashibeyondS Inc, Tokyo, Japan.ORCID 0000-0001-7547-6853
Miwa UrasakiWakayama City Public Health Center, Wakayama City, Japan.ORCID 0000-0001-8274-7199
Yoichi NagayasuHealthtech Laboratory, Inc, Kyoto, Japan.ORCID 0000-0002-8820-2402
Tomonari ShimamotoKyoto University Health Service, Kyoto, Japan.ORCID 0000-0001-7661-6299
Yukiko TateyamaKyoto University Health Service, Kyoto, Japan.ORCID 0000-0002-4649-8428
Keiichi MatsuzakiKyoto University Health Service, Kyoto, Japan.ORCID 0000-0002-2113-1574
Daisuke KobayashiKyoto University Health Service, Kyoto, Japan.ORCID 0000-0001-6194-9453
Satoshi KuboSuzuka University of Medical Science, Mie, Japan.ORCID 0000-0003-1957-7988
Shigeyuki MitoTMI Associates, Tokyo, Japan.ORCID 0000-0002-4612-1153
Tatsuya AbeHealthtech Laboratory, Inc, Kyoto, Japan.ORCID 0000-0002-2183-320X
Hideo MatsuuraWakayama City Public Health Center, Wakayama, Japan.ORCID 0000-0002-0907-2153
Taku IwamiKyoto University Health Service, Kyoto, Japan.ORCID 0000-0002-4150-7065
Kyoto University · JPSuzuka University of Medical Science · JPWakayama Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs a counter-cluster measure to prevent the spread of the infectious novel coronavirus disease (COVID-19), an efficient system for health observation outside the hospital is urgently required. Personal health records (PHRs) are suitable for the daily management of physical conditions. Importantly, there are no major differences between the items collected by daily health observation via PHR and the observation of items related to COVID-19. Until now, observations related to COVID-19 have been performed exclusively based on disease-specific items. Therefore, we hypothesize that PHRs would be suitable as a symptom-tracking tool for COVID-19. To this end, we integrated health observation items specific to COVID-19 with an existing PHR-based app.

objectiveThis study is conducted as a proof-of-concept study in a real-world setting to develop a PHR-based COVID-19 symptom-tracking app and to demonstrate the practical use of health observations for COVID-19 using a smartphone or tablet app integrated with PHRs.

methodsWe applied the PHR-based health observation app within an active epidemiological investigation conducted by Wakayama City Public Health Center. At the public health center, a list is made of individuals who have been in close contact with known infected cases (health observers). Email addresses are used by the app when a health observer sends data to the public health center. Each health observer downloads the app and installs it on their smartphone. Self-observed health data are entered daily into the app. These data are then sent via the app by email at a designated time. Localized epidemiological officers can visualize the collected data using a spreadsheet macro and, thus, monitor the health condition of all health observers.

resultsWe used the app as part of an active epidemiological investigation executed at a public health center. During the investigation, 72 close contacts were discovered. Among them, 57 had adopted the use of the health observation app. Before the introduction of the app, all health observers would have been interviewed by telephone, a slow process that took four epidemiological officers more than 2 hours. After the introduction of the app, a single epidemiological officer can carry out health observations. The app was distributed for free beginning in early March, and by mid-May, it had been used by more than 20,280 users and 400 facilities and organizations across Japan. Currently, health observation of COVID-19 is socially recognized and has become one of the requirements for resuming social activities.

conclusionsHealth observation by PHRs for the purpose of improving health management can also be effectively applied as a measure against large-scale infectious diseases. Individual habits of improving awareness of personal health and the use of PHRs for daily health management are powerful armaments against the rapid spread of infectious diseases. Ultimately, similar actions may help to prevent the spread of COVID-19.

Indexed as

Health Records, PersonalMobile ApplicationsContact TracingCoronavirus InfectionsCOVID-19Feasibility StudiesHumansJapanPandemicsPneumonia, Viralcontact tracingemerging infectious diseasemobile appspreventive medicinepublic health administrationpublic health informatics

Identifiers

PMID32568728
PMCPMC7340163
OpenAlexW3036844577

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.