Evidence map›Paper›PMID 42519227›Full record

ArticleHealth policy OPEN2026

Improving financial protection and access: Managing co-payments for outpatient prescription medicines through digital technologies in Estonia.

Kaija Kasekamp, Triin Habicht, Inke Mathauer

Abstract read
In one paragraph

Article in Health policy OPEN, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Kaija KasekampBarcelona Office for Health Systems Financing, WHO Regional Office for Europe, Sant Antoni Maria Claret, 16708025 Barcelona, Spain.
Triin HabichtBarcelona Office for Health Systems Financing, WHO Regional Office for Europe, Sant Antoni Maria Claret, 16708025 Barcelona, Spain.
Inke MathauerWHO headquarters, Department of Performance, Financing and Delivery, Avenue Appia, 1211 Geneva, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Estonian households faced persistent financial hardship due to high out-of-pocket payments for outpatient prescription medicines. An "additional medicine benefit" was therefore introduced in 2003, which lowers co-payments once a person's spending for outpatient prescription medicine has reached a threshold. However uptake remained low due to administrative hurdles and lack of awareness. In response, Estonia reformed this benefit in 2018, including leveraging digital technologies to automate eligibility checks and benefit provision at the point of sale. This paper explores how Estonia developed, designed and implemented these digital technologies and analyses the reform's observed changes. Methods: This study employed a qualitative-dominant mixed-methods approach, including document reviews, key informant interviews, and analysis of administrative data from the Estonian Health Insurance Fund (EHIF). The WHO framework for assessing digital technologies in health financing guided data collection and thematic analysis. Results: Built on Estonia's e-prescription system, the reform included lowering co-payment thresholds coupled with automating a member's benefit and enabling related real-time data exchange. The share of patients benefitting rose from 0.4% in 2017 to 15.6% in 2018, which is assumed to have contributed to decreasing the incidence of catastrophic health spending during the same time. Automation has significantly reduced the administrative burdens for EHIF, pharmacists and patients. Conclusion: Estonia's experience demonstrates how digital technologies support health financing reforms, contributing to increased efficiency, improved financial protection and utilization aligned with need. Yet, there is further potential to use existing data and digital technologies to better target benefits to those most in need.

Indexed as

Co-payment managementDigital technologiesFinancial protectionOutpatient prescription medicines

Identifiers

PMID42519227
PMCPMC13382996

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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.