Evidence map›Paper›PMID 38676535›Full record

ArticleInquiry : a journal of medical care organization, provision and financing

Telemedicine Utilization Patterns and Implications Amidst COVID-19 Outbreaks in Thailand Under Public Universal Coverage Scheme.

Nyi-Nyi Zayar, Nitichen Kittiratchakool, Thanayut Saeraneesopon, Rukmanee Butchon, Saudamini Vishwanath Dabak, Patiphak Namahoot, Tanasak Kaewchompoo, Pritaporn Kingkaew, Yot Teerawattananon, Wanrudee Isaranuwatchai

Abstract read
In one paragraph

Article in Inquiry : a journal of medical care organization, provision and financing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Aging in Southeast Asia and Japan: Challenges and opportunities.Geriatrics & gerontology international · 2025
    Review
  4. Article
  5. Review
  6. Article
  7. Thailand's Aging Society: Reconsidering Policy and Innovation Readiness for Elderly Care.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

10 authors.

Nyi-Nyi ZayarHealth Intervention and Technology Assessment Program, Ministry of Public Health, Nonthaburi, Thailand.ORCID 0000-0002-0174-6950
Nitichen KittiratchakoolHealth Intervention and Technology Assessment Program, Ministry of Public Health, Nonthaburi, Thailand.ORCID 0009-0009-8155-6142
Thanayut SaeraneesoponHealth Intervention and Technology Assessment Program, Ministry of Public Health, Nonthaburi, Thailand.
Rukmanee ButchonHealth Intervention and Technology Assessment Program, Ministry of Public Health, Nonthaburi, Thailand.
Saudamini Vishwanath DabakHealth Intervention and Technology Assessment Program, Ministry of Public Health, Nonthaburi, Thailand.
Patiphak NamahootNational Health Security Office, Bangkok, Thailand.
Tanasak KaewchompooNational Health Security Office, Bangkok, Thailand.
Pritaporn KingkaewHealth Intervention and Technology Assessment Program, Ministry of Public Health, Nonthaburi, Thailand.
Yot TeerawattananonHealth Intervention and Technology Assessment Program, Ministry of Public Health, Nonthaburi, Thailand.
Wanrudee IsaranuwatchaiHealth Intervention and Technology Assessment Program, Ministry of Public Health, Nonthaburi, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During COVID-19 pandemic, telemedicine was a strategy to facilitate healthcare service delivery minimizing the risk of direct exposure among people. In Thailand, the National Health Security Office has included telemedicine services under the Universal Coverage Scheme to support social distancing policies to reduce the spread of COVID-19. This study aimed to determine the patterns of telemedicine service use during major COVID-19 outbreaks including Alpha, Delta, and Omicron in Thailand. We retrospectively analyzed a dataset of telemedicine e-claims from the National Health Security Office, which covers services reimbursed under the Universal Coverage Scheme between December 2020 and August 2022. An interrupted time-series analysis, Pearson correlation analysis and binary logistic regression were performed. Almost 70% of the patients using telemedicine services were over 40 years old. Most patients used services for mental health problems (25.6%) and major noncommunicable diseases, including essential hypertension (12.6%) and diabetes mellitus (9.2%). The daily number of using telemedicine service was strongly correlated with the number of COVID-19 new cases detected. An immediate change in the trend of using telemedicine was detected at the onset of outbreaks along with the surge of infection. The follow-up use of telemedicine services was not substantial among female, older adults patients and those with non-communicable diseases except mental health problems, and infectious diseases. Strategies need to be developed to reinforced healthcare resources for telemedicine during the surge of outbreaks and sustain the use of telemedicine services for chronic and infectious diseases, regardless of the pandemic, and promote the efficiency of healthcare systems.

Indexed as

COVID-19SARS-CoV-2TelemedicineUniversal Health InsuranceAdolescentAdultAgedChildFemaleHumansMaleMiddle AgedPandemicsRetrospective StudiesThailandYoung Adultinterrupted time series analysismental healthnon-communicable diseasespandemicstelemedicine

Identifiers

PMID38676535
PMCPMC11056088

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.