Evidence map›Paper›PMID 40794105›Full record

ArticleJournal of medical Internet research2025

Telemedicine Public Reimbursement Models for National and Subnational Jurisdictions: Scoping Review.

Evan Huang-Ku, Panchanok Muenkaew, Kinanti Khansa Chavarina, Yin May Tun, Zin Nwe Win, Wanrudee Isaranuwatchai, Saudamini Vishwanath Dabak, Natasha Howard

Abstract readScoping Review
In one paragraph

Article in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
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

8 authors.

Evan Huang-KuHealth Intervention and Technology Assessment Program Foundation, Ministry of Public Health, Department of Health, Building 6, 6th Floor, Mueang Nonthaburi, 11000, Thailand, 66 025904549.ORCID http://orcid.org/0009-0004-3255-8671
Panchanok MuenkaewHealth Intervention and Technology Assessment Program Foundation, Ministry of Public Health, Department of Health, Building 6, 6th Floor, Mueang Nonthaburi, 11000, Thailand, 66 025904549.ORCID http://orcid.org/0009-0004-2767-0060
Kinanti Khansa ChavarinaHealth Intervention and Technology Assessment Program Foundation, Ministry of Public Health, Department of Health, Building 6, 6th Floor, Mueang Nonthaburi, 11000, Thailand, 66 025904549.ORCID http://orcid.org/0009-0002-3274-0591
Yin May TunHealth Intervention and Technology Assessment Program Foundation, Ministry of Public Health, Department of Health, Building 6, 6th Floor, Mueang Nonthaburi, 11000, Thailand, 66 025904549.ORCID http://orcid.org/0009-0004-9666-983X
Zin Nwe WinHealth Intervention and Technology Assessment Program Foundation, Ministry of Public Health, Department of Health, Building 6, 6th Floor, Mueang Nonthaburi, 11000, Thailand, 66 025904549.ORCID http://orcid.org/0009-0006-8809-8373
Wanrudee IsaranuwatchaiHealth Intervention and Technology Assessment Program Foundation, Ministry of Public Health, Department of Health, Building 6, 6th Floor, Mueang Nonthaburi, 11000, Thailand, 66 025904549.ORCID http://orcid.org/0000-0002-8368-6065
Saudamini Vishwanath DabakHealth Intervention and Technology Assessment Program Foundation, Ministry of Public Health, Department of Health, Building 6, 6th Floor, Mueang Nonthaburi, 11000, Thailand, 66 025904549.ORCID http://orcid.org/0000-0001-6161-6165
Natasha HowardSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.ORCID http://orcid.org/0000-0003-4174-7349

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Telemedicine has transformed health care delivery, offering improved access, efficiency, and potentially cost-effectiveness. However, wide-scale implementation is challenged due to multiple factors. Among these, reimbursements were reported to influence the scalability and sustainability of telemedicine. Objective: This study aimed to examine current payment models and reimbursement coverage for telemedicine in any national and subnational jurisdictions to inform the development of reimbursement policy. Methods: We conducted a scoping review using Arksey and O'Malley's 6-stage method, including sources that discussed telemedicine payment methods reimbursed by public payers. To supplement the limited results, particularly from low- and middle-income countries in Asia, we conducted 5 stakeholder interviews with telemedicine providers or those with experience in telemedicine reimbursement models who added insights for India, Nepal, and Taiwan. Data were synthesized narratively. Results: We included 31 of 14,522 records screened. Most (n=22, 71%) records were published after 2020, were research studies (n=26, 84%), and discussed reimbursement in the United States (n=24, 77%). We categorized reimbursement coverage as the purpose of telemedicine, health conditions, patients' nonhealth conditions, service providers, interaction participants, interaction modes, and technology used. Payment methods varied widely and included fee-for-service, capitation, bundled payment, and value-based models. Varying telemedicine reimbursement models adopted by countries reflect health service and care objectives along with health system characteristics. Payment mechanisms were linked to telemedicine services or broader health care delivery, with each presenting unique advantages. Conclusions: Workable telemedicine reimbursement is a critical enabling factor in expanding health care access by incentivizing provider participation, ensuring financial sustainability, promoting equity in access, and aligning telemedicine with broader health goals. This review provides a starting point for countries in designing a telemedicine reimbursement model specific to population needs and health system capacity. Policy makers are encouraged to leverage these insights in adapting telemedicine reimbursement to their context.

Indexed as

Insurance, Health, ReimbursementReimbursement MechanismsTelemedicineHumansIndiaNepalTaiwanUnited StateseHealthhealth financingmHealthmobile healthtelecaretelehealth

Identifiers

PMID40794105
PMCPMC12341443

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.