Evidence map›Paper›PMID 23217275›Full record

ArticleInternational journal of technology assessment in health care2013

Relationship between financial impact and coverage of drugs in Australia.

Josephine Mauskopf, Costel Chirila, Catherine Masaquel, Kristina S Boye, Lee Bowman, Julie Birt, David Grainger

Abstract read
In one paragraph

Article in International journal of technology assessment in health care, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. The role of budget impact and its relationship with cost-effectiveness in reimbursement decisions on health technologies in the Netherlands.The European journal of health economics : HEPAC : health economics in prevention and care · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Accuracy of budget impact estimations and impact on patient access: a hepatitis C case study.The European journal of health economics : HEPAC : health economics in prevention and care · 2019
    Article
  10. Review
  11. WHO guide on the economic evaluation of influenza vaccination.Influenza and other respiratory viruses · 2018
    Review
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. 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

7 authors.

Josephine MauskopfRTI Health Solutions, Research Triangle Park, NC 27709, USA. jmauskopf@rti.org
Costel Chirila
Catherine Masaquel
Kristina S Boye
Lee Bowman
Julie Birt
David Grainger

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe aim of this study was to estimate the relationship between the financial impact of a new drug and the recommendation for reimbursement by the Australian Pharmaceutical Benefits Advisory Committee (PBAC).

methodsData in the PBAC summary database were abstracted for decisions made between July 2005 and November 2009. Financial impact-the upper bound of the values presented in the PBAC summary database-was categorized as ≤A$0, >A$0 up to A$10 million, A$10 million up to A$30 million, and >A$30 million per year. Descriptive, logistic, survival, and recursive partitioning decision analyses were used to estimate the relationship between the financial impact of a new drug indication and the recommendation for reimbursement. Multivariable analyses controlled for other clinical and economic variables, including cost per quality-adjusted life-year gained.

resultsFinancial impact was a significant predictor of the recommendation for reimbursement. In the logistic analysis, the odds ratios of reimbursement for drug submissions with financial impacts ≥A$10 million to ≥A$30 million or >A$0 to <A$10 million compared with ≤A$0 were 0.12 (95 percent confidence interval [CI]: 0.03-0.51) and 0.16 (95 percent CI: 0.04-0.60), respectively. In the recursive partition decision analysis, the first split of the data was for submissions with a positive financial impact compared with those with a zero or negative financial impact.

conclusionsIn Australia, financial impact on the drug budget is an important determinant of whether a new drug is recommended for reimbursement when cost-effectiveness estimates and other clinical and economic variables are controlled.

Indexed as

Advisory CommitteesInsurance, Health, ReimbursementAustraliaCost-Benefit AnalysisInsurance, Pharmaceutical ServicesNational Health ProgramsPharmaceutical PreparationsPharmaceutical Preparations

Identifiers

PMID23217275
PMCPMC3582189

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.