Evidence map›Paper›PMID 26093889›Full record

ArticlePharmacoEconomics2015

Reimbursement Decisions for Pharmaceuticals in Sweden: The Impact of Disease Severity and Cost Effectiveness.

Mikael Svensson, Fredrik O L Nilsson, Karl Arnberg

Abstract read
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In one paragraph

Article in PharmacoEconomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 4 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

56 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  19. Cost-effectiveness Analysis Comparing Osia System to Percutaneous Bone Conduction Devices in Sweden.Otology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology · 2026
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  20. Observational
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.

Mikael SvenssonDepartment of Economics, Örebro University, Fakultetsgatan 1, 701 82, Örebro, Sweden. mikael.svensson@oru.se.
Fredrik O L NilssonThe Dental and Pharmaceutical Benefits Agency (TLV), Stockholm, Sweden.
Karl ArnbergThe Dental and Pharmaceutical Benefits Agency (TLV), Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe Swedish Dental and Pharmaceutical Benefits Agency (TLV) is the government body responsible for deciding whether outpatient drugs are to be included in the pharmaceutical benefits scheme. This paper analyzes the impact of cost effectiveness and severity of disease on reimbursement decisions for new pharmaceuticals.

methodsData has been extracted from all decisions made by the TLV between 2005 and 2011. Cost effectiveness is measured as the cost per quality-adjusted life-year (QALY) gained, whereas disease severity is a binary variable (severe-not severe). In total, the dataset consists of 102 decisions, with 86 approved and 16 declined reimbursements.

resultsThe lowest cost per QALY of declined reimbursements is Swedish kronor (SEK) 700,000 (€ 79,100), while the highest cost per QALY of approved reimbursements is SEK1,220,000 (€ 135,600). At a cost per QALY of SEK702,000 Swedish kronor (non-severe diseases) and SEK988,000 (severe diseases), the likelihood of approval is estimated to be 50/50 (€ 79,400 and € 111,700).

conclusionsThe TLV places substantial weight on both the cost effectiveness and the severity of disease in reimbursement decisions, and the implied willingness to pay for a QALY is higher than the often cited 'rule of thumb' in Swedish policy debates.

Indexed as

Decision MakingSeverity of Illness IndexEconomics, PharmaceuticalInsurance, Health, ReimbursementState MedicineSweden

Identifiers

What OpenQuestion holds

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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.