Evidence map›Paper›PMID 35752952›Full record

ArticleInteractive journal of medical research2022

The Association Between Telehealth Utilization and Policy Responses on COVID-19 in Japan: Interrupted Time-Series Analysis.

Tomoki Ishikawa, Jumpei Sato, Junko Hattori, Kazuo Goda, Masaru Kitsuregawa, Naohiro Mitsutake

Open access · goldAbstract read
In one paragraph

Article in Interactive journal of medical research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
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  9. In-Home Monitoring Technology for Aging in Place: Scoping Review.Interactive journal of medical research · 2022
    Article
  10. Article
  11. Considerations for Creating a User-Friendly Telemedicine Service in Japan.Inquiry : a journal of medical care organization, provision and financing
    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

6 authors at 3 institutions in 1 country.

Tomoki IshikawaInstitute for Health Economics and Policy, Minato-ku, Tokyo, Japan.ORCID https://orcid.org/0000-0001-8725-6508
Jumpei SatoInstitute of Industrial Science, The University of Tokyo, Meguro, Tokyo, Japan.ORCID https://orcid.org/0000-0001-6032-1584
Junko HattoriInstitute of Industrial Science, The University of Tokyo, Meguro, Tokyo, Japan.ORCID https://orcid.org/0000-0001-7452-0306
Kazuo GodaInstitute of Industrial Science, The University of Tokyo, Meguro, Tokyo, Japan.ORCID https://orcid.org/0000-0003-0618-4157
Masaru KitsuregawaInstitute of Industrial Science, The University of Tokyo, Meguro, Tokyo, Japan.ORCID https://orcid.org/0000-0003-4027-2994
Naohiro MitsutakeInstitute for Health Economics and Policy, Minato-ku, Tokyo, Japan.ORCID https://orcid.org/0000-0003-1809-5426
The University of Tokyo · JPHealth Sciences University of Hokkaido · JPInstitute for Health Economics and Policy · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTelehealth using telephones or online communication is being promoted as a policy initiative in several countries. However, there is a lack of research on telehealth utilization in a country such as Japan that offers free access to medical care and regulates telehealth provision-particularly with respect to COVID-19.

objectiveThe present study aimed to clarify telehealth utilization, the characteristics of patients and medical institutions using telehealth, and the changes to telehealth in Japan in order to support the formulation of policy strategies for telehealth provision.

methodsUsing a medical administrative claim database of the National Health Insurance and Advanced Elderly Medical Service System in Mie Prefecture, we investigated patients who used telehealth from January 2017 to September 2021. We examined telehealth utilization with respect to both patients and medical institutions, and we determined their characteristics. Using April 2020 as the reference time point for COVID-19, we conducted an interrupted time-series analysis (ITSA) to assess changes in the monthly proportion of telehealth users to beneficiaries.

resultsThe number of telehealth users before the reference time point was 13,618, and after the reference time point, it was 28,853. Several diseases and conditions were associated with an increase in telehealth utilization. Telehealth consultations were mostly conducted by telephone and for prescriptions. The ITSA results showed a sharp increase in the proportion of telehealth use to beneficiaries after the reference time point (rate ratio 2.97; 95% CI 2.14-2.31). However, no apparent change in the trend of increasing or decreasing telehealth use was evident after the reference time point (rate ratio 1.00; 95% CI 1.00-1.01).

conclusionsWe observed a sharp increase in telehealth utilization after April 2020, but no change in the trend of telehealth use was evident. We identified changes in the characteristics of patients and providers using telehealth.

Indexed as

COVID-19health services researchinterrupted time seriestelehealth

Identifiers

PMID35752952
PMCPMC9278403
OpenAlexW4283522217

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.