Evidence map›Paper›PMID 36213666›Full record

ArticleFrontiers in medicine2022

Outcome-based reimbursement in Central-Eastern Europe and Middle-East.

Ildikó Ádám, Marcelien Callenbach, Bertalan Németh, Rick A Vreman, Cecilia Tollin, Johan Pontén, Dalia Dawoud, Jamie Elvidge, Nick Crabb, Sahar Barjesteh van Waalwijk van Doorn-Khosrovani and 10 more

Abstract read
In one paragraph

Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

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

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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

20 authors.

Ildikó ÁdámCenter for Health Technology Assessment, Semmelweis University, Budapest, Hungary.
Marcelien CallenbachDivision of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, Netherlands.
Bertalan NémethSyreon Research Institute, Budapest, Hungary.
Rick A VremanDivision of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, Netherlands.
Cecilia TollinThe Dental and Pharmaceutical Benefits Agency, Tandvårds- och Låkemedelsförmånsverket, Stockholm, Sweden.
Johan PonténThe Dental and Pharmaceutical Benefits Agency, Tandvårds- och Låkemedelsförmånsverket, Stockholm, Sweden.
Dalia DawoudNational Institute for Health and Care Excellence, London, United Kingdom.
Jamie ElvidgeNational Institute for Health and Care Excellence, London, United Kingdom.
Nick CrabbNational Institute for Health and Care Excellence, London, United Kingdom.
Sahar Barjesteh van Waalwijk van Doorn-KhosrovaniDepartment of Medical Advisory and Innovation, Centraal Ziekenfonds (CZ) Health Insurance, Tilburg, Netherlands.
Anke Pisters-van RoyDepartment of Medical Advisory and Innovation, Centraal Ziekenfonds (CZ) Health Insurance, Tilburg, Netherlands.
Áron VincziczkiNational Health Insurance Fund of Hungary, Nemzeti Egészségbiztosítási Alapkezelõ, Budapest, Hungary.
Emad AlmomaniDepartment for Health Technology Assessment, Jordanian Royal Medical Services, Amman, Jordan.
Maja VajagicCroatian Health Insurance Fund, Zagreb, Croatia.
Z Gulsen OnerSocial Security Institution of Turkey, Ankara, Turkey.
Mirna MatniSocial Security Main Office, Caisse Nationale de la Sécurité Sociale, Beirut, Lebanon.
Jurij FürstDepartment of Drugs, Health Insurance Institute of Slovenia, Ljubljana, Slovenia.
Rabia KahveciPharmaceutical Policies and Governance, Management Sciences for Health, Kyiv, Ukraine.
Wim G GoettschDivision of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, Netherlands.
Zoltán KalóCenter for Health Technology Assessment, Semmelweis University, Budapest, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Outcome-based reimbursement models can effectively reduce the financial risk to health care payers in cases when there is important uncertainty or heterogeneity regarding the clinical value of health technologies. Still, health care payers in lower income countries rely mainly on financial based agreements to manage uncertainties associated with new therapies. We performed a survey, an exploratory literature review and an iterative brainstorming in parallel about potential barriers and solutions to outcome-based agreements in Central and Eastern Europe (CEE) and in the Middle East (ME). A draft list of recommendations deriving from these steps was validated in a follow-up workshop with payer experts from these regions. 20 different barriers were identified in five groups, including transaction costs and administrative burden, measurement issues, information technology and data infrastructure, governance, and perverse policy outcomes. Though implementing outcome-based reimbursement models is challenging, especially in lower income countries, those challenges can be mitigated by conducting pilot agreements and preparing for predictable barriers. Our guidance paper provides an initial step in this process. The generalizability of our recommendations can be improved by monitoring experiences from pilot reimbursement models in CEE and ME countries and continuing the multistakeholder dialogue at national levels.

Indexed as

health technology assessmentmanaged entry agreementoutcome-based agreementoutcome-based reimbursementpay-for-performancepricingreimbursementvalue-based pricing

Identifiers

PMID36213666
PMCPMC9539523

What OpenQuestion holds

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Registered trials

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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.