Evidence map›Paper›PMID 42078828›Full record

ReviewDigital health

Digital health reimbursement: A scoping review of global lessons and policy implications.

Reza Rabiei, Sohrab Almasi

Abstract readReview
In one paragraph

Review in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Reza RabieiDepartment of Health Information Technology and Management, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0003-0771-7306
Sohrab AlmasiDepartment of Health Information Technology, School of Allied Medical Sciences, Kermanshah University of Medical Sciences, Kermanshah, Iran.ORCID https://orcid.org/0000-0003-0707-8399

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Digital health technologies have expanded access to healthcare services by improving disease management and reducing unnecessary hospitalizations. A major challenge, however, is designing appropriate reimbursement mechanisms for these technologies. Ensuring such mechanisms not only leverages their benefits but also maintains the financial sustainability of health systems. Objective: This study aimed to identify reimbursement processes, classification methods, assessment frameworks and criteria used, pricing mechanisms, organizations involved in the digital health reimbursement process, and the technologies covered by health insurance in selected countries from each continent (Europe, North America, and Asia). Methods: This study followed the Joanna Briggs Institute (JBI) framework. A systematic search was conducted in Web of Science, Scopus, PubMed, and grey literature sources (e.g. government reports and health organization websites), with no language restrictions, from 1 January 2000 to 9 February 2025. Data extraction focused on reimbursement processes, classification approaches, evaluation criteria, pricing mechanisms, key stakeholders, and insured digital health technologies. Conclusion: Developing transparent reimbursement frameworks, coordinating stakeholders, and integrating digital technologies into insurance systems are essential. Learning from successful frameworks-such as Germany's DiGA, telemedicine in the USA and Canada, and China's digital health policies-can enhance equitable access and financial sustainability. Establishing digital health technology assessment (DHTA) guidelines, investing in digital health literacy and infrastructure, and implementing supportive regulatory policies are critical prerequisites.

Indexed as

digital healthReimbursementscoping reviewtelehealthtelemedicine

Identifiers

PMID42078828
PMCPMC13133455

What OpenQuestion holds

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LicenceCC BY-NC
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.