Evidence map›Paper›PMID 35322478›Full record

ArticleHealth economics2022

Implementation of coverage with evidence development schemes for medical devices: A decision tool for late technology adopter countries.

Sandor Kovács, Zoltán Kaló, Rita Daubner-Bendes, Katarzyna Kolasa, Rok Hren, Tomas Tesar, Vivian Reckers-Droog, Werner Brouwer, Carlo Federici, Mike Drummond and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Health economics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% of its field
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. The use of real-world evidence among healthcare payers: a scoping review.International journal of technology assessment in health care · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Review
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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 at 8 institutions in 7 countries.

Sandor KovácsSyreon Research Institute, Budapest, Hungary.ORCID 0000-0002-6911-0537
Zoltán KalóSyreon Research Institute, Budapest, Hungary.ORCID 0000-0001-7762-2607
Rita Daubner-BendesSyreon Research Institute, Budapest, Hungary.
Katarzyna KolasaDivision of Health Economics and Healthcare Management, Kozminski University, Warsaw, Poland.ORCID 0000-0002-8460-4797
Rok HrenInstitute of Mathematics, Physics, and Mechanics, Ljubljana, Slovenia.
Tomas TesarDepartment of Organisation and Management of Pharmacy, Faculty of Pharmacy, Comenius University in Bratislava, Bratislava, Slovakia.
Vivian Reckers-DroogErasmus School of Health Policy and Management, Erasmus University Rotterdam, Rotterdam, The Netherlands.ORCID 0000-0001-8722-3431
Werner BrouwerErasmus School of Health Policy and Management, Erasmus University Rotterdam, Rotterdam, The Netherlands.
Carlo FedericiCentre for Research on Health and Social Care Management (CERGAS), SDA Bocconi School of Management, Milan, Italy.ORCID 0000-0002-0309-4669
Mike DrummondCentre for Health Economics, University of York, York, UK.ORCID 0000-0002-6126-0944
Antal Tamás ZemplényiSyreon Research Institute, Budapest, Hungary.ORCID 0000-0002-0177-0264
Syreon Research Institute (Hungary) · HUErasmus University Rotterdam · NLComenius University Bratislava · SKInstitute of Mathematics, Physics, and Mechanics · SIKozminski University · PLSemmelweis University · HUUniversity of Warwick · GBUniversity of York · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Experiences with coverage with evidence development (CED) schemes are fairly limited in Central and Eastern European (CEE) countries, which are usually late adopters of new health technologies. Our aim was to put forward recommendations on how CEE health technology assessment bodies and payer organizations can apply CED to reduce decision uncertainty on reimbursement of medical devices, with a particular focus on transferring the structure and data from CED schemes in early technology adopter countries in Western Europe. Structured interviews on the practices and feasibility of transferring CED schemes were conducted and subsequently, a draft tool for the systematic classification of decision alternatives and recommendations was developed. The decision tool was reviewed in a focus group discussion and validated within a wider group of CEE experts in a virtual workshop. Transferability assessment is needed in case of (1) joint implementation of a CED scheme; (2) transferring the structure of an existing CED scheme to a CEE country; (3) reimbursement decisions that are linked to outcomes of an ongoing CED scheme in another country and (4) real-world evidence transferred from completed CED schemes. Efficient use of available resources may be improved by adequately transferring evidence and policy tools from early technology adopter countries.

Indexed as

TechnologyTechnology Assessment, BiomedicalCost-Benefit AnalysisEuropeHumansUncertaintyCOMEDconditional reimbursementcoverage with evidence developmentlate technology adoptermanaged entry agreementmedical devices

Identifiers

PMID35322478
PMCPMC9543994
OpenAlexW4220948914

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.