Evidence map›Paper›PMID 39143956›Full record

ArticleTelemedicine reports2024

Telemedicine Utilization in Tertiary, Specialized, and Secondary Hospitals in Thailand.

Piyada Gaewkhiew, Nitichen Kittiratchakool, Chotika Suwanpanich, Thanayut Saeraneesopon, Thanakit Athibodee, Suthasinee Kumluang, Tanainan Chuanchaiyakul, Sichen Liu, Saranya Chanpanitkitchot, Arthit Laosuangkul and 1 more

Abstract read
In one paragraph

Article in Telemedicine reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
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

11 authors.

Piyada GaewkhiewHealth Intervention and Technology Assessment Program (HITAP), Nonthaburi, Thailand.
Nitichen KittiratchakoolHealth Intervention and Technology Assessment Program (HITAP), Nonthaburi, Thailand.ORCID https://orcid.org/0009-0009-8155-6142
Chotika SuwanpanichHealth Intervention and Technology Assessment Program (HITAP), Nonthaburi, Thailand.ORCID https://orcid.org/0009-0000-8944-6225
Thanayut SaeraneesoponHealth Intervention and Technology Assessment Program (HITAP), Nonthaburi, Thailand.
Thanakit AthibodeeHealth Intervention and Technology Assessment Program (HITAP), Nonthaburi, Thailand.
Suthasinee KumluangHealth Intervention and Technology Assessment Program (HITAP), Nonthaburi, Thailand.
Tanainan ChuanchaiyakulHealth Intervention and Technology Assessment Program (HITAP), Nonthaburi, Thailand.
Sichen LiuHealth Intervention and Technology Assessment Program (HITAP), Nonthaburi, Thailand.
Saranya ChanpanitkitchotDepartment of Obstetrics and Gynecology, Rajavithi Hospital, College of Medicine, Rangsit University, Bangkok, Thailand.
Arthit LaosuangkulDepartment of Mental Health, Suansaranrom Psychiatric Hospital, Ministry of Public Health, Suratthani, Thailand.
Wanrudee IsaranuwatchaiHealth Intervention and Technology Assessment Program (HITAP), Nonthaburi, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: COVID-19 has accelerated the adoption of telemedicine for counseling, follow-up examination, and treatment purposes. The official guidelines in Thailand were launched to regulate or frame the protocols for health care professions and teams in different organizations. Objectives: To explore the trend of telemedicine utilization in selected hospitals in Thailand and to understand the characteristics of patients who used telemedicine from 2020 to 2023. Methods: This retrospective secondary data analysis was conducted in four hospitals in Thailand: two tertiary care (T1 and T2) hospitals, one secondary care (SN) hospital, and one specialized (SP) hospital. Data were routinely collected when services were provided and were categorized into telemedicine outpatient department (OPD) visits or onsite OPD visits. The data included demographic information (age, sex), date and year of service, location (province and health region), and primary diagnosis (using International Statistical Classification of Diseases and Related Health Problems 10th Revision codes). Descriptive analysis was conducted using R and STATA software. Results: All four hospitals reported an increase in telemedicine use from 2020 to 2023. The majority of telemedicine users were female (>65%) at all hospitals except for the SP hospital (44%). Participants aged 25-59 years reported greater utilization of telemedicine than did the other age-groups. The within-hospital comparison between OPD visits before and after telemedicine was significant ( Conclusion: The situation during the COVID-19 pandemic and the transition to the post-COVID-19 era impacted telemedicine utilization, which could support national monitoring and evaluation policies. However, further studies are needed to explore other aspects, including changes in telemedicine utilization over time for longer timeframes, effectiveness of telemedicine, and consumer satisfaction.

Indexed as

data analyticshospitaltelehealthtelemedicineutilization

Identifiers

PMID39143956
PMCPMC11319860

What Socratic 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 Socratic graph.