Evidence map›Paper›PMID 37679747›Full record

ArticleBMC health services research2023

Exploring the impact of the national tender system on the use of costly drugs treating rheumatoid arthritis patients in ten rheumatology centers in Norway (2010-2019).

Alen Brkic, Andreas P Diamantopoulos, Mari Hoff, Espen Andre Haavardsholm, Bjørg Tilde Svanes Fevang, Lene Kristin Brekke, Liz Loli, Camilla Zettel, Gunnstein Bakland, Pawel Mielnik and 1 more

Abstract read
In one paragraph

Article in BMC health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

Alen BrkicResearch Department, Sorlandet Hospital, Service box 416, Kristiansand, Norway. 107alen@gmail.com.
Andreas P DiamantopoulosDivision of internal medicine, Section for Rheumatology, Akershus University Hospital, Lørenskog, 1478, Norway.
Mari HoffDepartment of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, NTNU, Norwegian University of Science and Technology, Trondheim, Norway.
Espen Andre HaavardsholmCenter for treatment of Rheumatic and Musculoskeletal Diseases (REMEDY), Diakonhjemmet Hospital, Oslo, Norway.
Bjørg Tilde Svanes FevangDepartment of Rheumatology, Bergen Group of Epidemiology and Biomarkers in Rheumatic Disease, Haukeland University Hospital, Bergen, Norway.
Lene Kristin BrekkeHaugesund Hospital for Rheumatic Diseases, Haugesund, Norway.
Liz LoliLillehammer Hospital for Rheumatic Diseases, Lillehammer, Norway.
Camilla ZettelDepartment of Rheumatology, Betanien Hospital, Skien, Norway.
Gunnstein BaklandDepartment of Rheumatology, University Hospital of North Norway, Tromsø, Norway.
Pawel MielnikDepartment for Neurology, Section for Rheumatology, Rheumatology and Physical Medicine, , District General Hospital of Førde, Førde, Norway.
Glenn HaugebergResearch Department, Sorlandet Hospital, Service box 416, Kristiansand, Norway.

Funding

Research Council of Norway 328657
6 · The paper itself

Abstract

backgroundBiologic and targeted synthetic disease-modifying antirheumatic drugs (b/tsDMARDs) are highly effective in treating rheumatoid arthritis (RA), albeit high drug cost has restricted their use in many countries. As a countermeasure, Norway implemented pharmaceutical tendering as a cost-reducing strategy. The aim of this study was to assess the annual proportion of different b/tsDMARDs registered to treat RA patients under the influence of a Norwegian pharmaceutical tendering between 2010 and 2019.

methodThe data is collected from ten Norwegian outpatient centers. The included patients are categorized as naïve, non-naïve, and current b/tsDMARD users. 13 individual b/tsDMARDs are assessed and compared with the tender rankings from each year. Overview of subcutaneous (sc) with per oral vs. intravenous (iv) and biosimilars vs. non-biosimilar are also described.

resultThe tender-winning b/tsDMARD was the most or second most used drug in nine out of ten years for naïve users, seven for non-naïve users, and twice for current users. The average sum of the highest and second highest proportion among naïve, non-naïve, and current b/tsDMARD users were 75%, 53%, and 50% during the ten years, respectively. The tender-winning drug was iv in eight out of ten years. However, the average total proportion of sc and per oral b/tsDMARDs was about 70% for naïve b/tsDMARD users, 50% for non-naïve b/tsDMARD users, and 60% for current b/tsDMARD users. The main contributors to sc and per oral b/tsDMARD were etanercept (reference and biosimilar) and certolizumab pegol. The main contributors to iv b/tsDMARD were rituximab reference and infliximab biosimilar. Despite low-ranking offers, rituximab reference (offered as a second-line drug) often achieved a high proportion among non-naïve and current b/tsDMARD users. After the introduction of biosimilars, their average proportion was about 40%, 40%, and 20% for naïve, non-naïve, and current b/tsDMARD users, respectively.

conclusionBased on observed data, a higher tender rank was associated with a higher proportion among naïve and non-naïve b/tsDMARD users. However, in most cases, sc b/tsDMARDs achieved a higher proportion with lower tender ranks than iv b/tsDMARDs with higher tender ranks.

Indexed as

Arthritis, RheumatoidBiosimilar PharmaceuticalsRheumatologyHumansNorwayOutpatientsPharmaceutical PreparationsRituximabBiosimilar PharmaceuticalsPharmaceutical PreparationsRituximabBiologicsBiosimilarsIntravenousPharmaceutical tenderingSubcutaneous

Identifiers

PMID37679747
PMCPMC10486045

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.