Evidence map›Paper›PMID 17195576›Full record

ArticleHealth care analysis : HCA : journal of health philosophy and policy2006

Reimbursement decision-making and prescription patterns of glitazones in treatment of type 2 diabetes mellitus patients in Denmark.

P B Iversen, H Vondeling

Abstract read
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In one paragraph

Article in Health care analysis : HCA : journal of health philosophy and policy, 2006. 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, top 87% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
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 at 1 institution in 1 country.

P B IversenInstitute of Public Health, Department of Health Economics, University of Southern Denmark, J.B. Winsløws Vej 9B,1, DK, 5000 Odense C, Denmark.
H Vondeling
University of Southern Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are marked differences between countries with regard to reimbursement decision-making, yet few studies have tried to understand this process and its consequences by a detailed analysis of the local context and decision-making structure. This article describes reimbursement decision-making and subsequent prescribing patterns of new pharmaceuticals by means of a case study on glitazones in treatment of type 2 diabetes mellitus patients in Denmark. The study shows that institutional arrangements, providing the context in which evidence is used, are highly important for understanding the reimbursement decision-making process. In particular the Danish Medicines Agency (DMA) has shaped the decision to reimburse glitazones on the basis of physician-mediated requests of individual patients. Relatively few patients have been prescribed glitazones since their introduction in 2000, suggesting that individual reimbursement may be an effective instrument in controlling overall expenditure of selected pharmaceuticals, although in the case of glitazones this has likely been achieved at the expense of equality in access to the products. The discussion focuses on the generalizability of the findings to both other pharmaceuticals in the individual reimbursement scheme in Denmark, and to other countries that are trying to balance the need to control overall pharmaceutical care expenditure with the need to secure equality in access to new drugs with therapeutic added value.

Indexed as

Decision MakingHealth Care CostsDenmarkDiabetes Mellitus, Type 2Health PolicyHumansHypoglycemic AgentsPioglitazoneReimbursement MechanismsRosiglitazoneThiazolidinedionesHypoglycemic AgentsPioglitazoneRosiglitazoneThiazolidinediones

Identifiers

PMID17195576
OpenAlexW2016724410

What OpenQuestion holds

Textmetadata
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.