ArticlePharmacoEconomics1994
Using cost-effectiveness analysis for formulary decision making: from theory into practice.
Article in PharmacoEconomics, 1994. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Necessity of using intermediate outcome to proxy long term effects. The example of thrombolytics.PharmacoEconomics · 1995Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The growth of expenditures on healthcare and pharmaceutical products is a concern to third-party payers because of the absence of market discipline (price signals that consumers face). Cost-effectiveness analysis is a method that allows third-party payers to systematically make judgements about the 'value for money' of these products. It moves beyond simple unit price comparisons of alternate interventions/products to consider the full stream of relevant cost and benefits. As formulary committees begin to adopt the systematic use of cost-effectiveness analyses to inform the debate, the exercise will move from an academic to a more practical application. This transition will require several important changes including defining the purpose of cost-effectiveness analysis, measurement of outcomes and data, format of reports, and contractual arrangements between the pharmaceutical industry and analysts. As more 'real world' experience is gained in the practical application of cost-effectiveness analysis, the quality of data will improve as will its value as an aid to decision making.
Indexed as
Identifiers
10147465What OpenQuestion holds
Registered trials
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.