ArticlePloS one2025
Factors influencing user decision of telemedicine applications in Thailand.
Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Healthcare consumers' acceptance and use of digital health technology in LMICs and the role of self-efficacy and facilitating conditions: a systematic review and meta-analysis.The Lancet regional health. Western Pacific · 2026Article
- Article
- Mobile Health Clinics and Telehealth Outreach in Thailand: A Focus on Elderly Care and NCDs.Journal of multidisciplinary healthcare · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Telemedicine applications have been used worldwide to support the healthcare system in both private and government sectors. However, the factors influencing users' decisions to use the telemedicine application have not been well determined. Exploratory cross-sectional research was conducted using an offline and online questionnaire on Thai individuals aged 18-65. The recruitment period for this study spanned from December 25, 2023, to March 25, 2024, utilizing quota sampling to ensure representation across different regions of Thailand. The objectives were to estimate the proportion of individuals using telemedicine applications and to identify significant determinants of the decision to use telemedicine applications, including Acceptance and Use of Technology, the information systems (IS) Success Model, Trust, and Perceived Risk factors. Exploratory factor analysis (EFA) was used to identify potential latent factors from the 62-item multidimensional questionnaire. Multiple linear regression was used to identify significant determinants of using telemedicine applications. EFA was performed to group 62 variables into 6 latent factors, including trust, ease of use, system quality, benefits of use, price, and service quality. Of 385 Thai individuals, the proportion of those who use telemedicine applications was 63.63%. All six determinants significantly influenced the decision to use telemedicine applications. The factors influencing individuals' decisions to use telemedicine applications include trust, ease of use, system quality, benefits of use, price, and service quality.
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Registered trials
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