Evidence map›Paper›PMID 23572442›Full record

ArticlePharmacoEconomics2013

The determinants of cost-effectiveness potential: an historical perspective on lipid-lowering therapies.

Rodrigo Refoios Camejo, Clare McGrath, Marisa Miraldo, Frans Rutten

Abstract read
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Article in PharmacoEconomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. The value of innovation under value-based pricing.Journal of market access & health policy · 2016
    Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Rodrigo Refoios CamejoInstitute of Health Policy & Management, Erasmus Medical Centre, Erasmus University, P.O. Box 1738, 3000 DR, Rotterdam, The Netherlands. rodrigo.refoioscamejo@gmail.com
Clare McGrath
Marisa Miraldo
Frans Rutten

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe concept of cost effectiveness emerged in an attempt to link the prices of new healthcare technologies to the immediate value they provide, with payers defining the acceptable cost per unit of incremental effect over the alternatives available. It has been suggested that such measures allow developers to assess potential market profitability in an early stage of development, but may result in discouraging investment in efficient research if not used appropriately.

objectiveThe objective of this study is to identify the pattern of the factors determining cost effectiveness and assess the evolution of cost-effectiveness potential for drugs in development using lipid-lowering therapy as a case study.

methodsThe study is based on observational clinical and market data covering a 20-year period (from 1990 to 2010) in the UK. Real-life clinical data including total cholesterol laboratory test results were extracted from the Clinical Practice Research Datalink (CPRD) and are used to illustrate how the clinical effectiveness of existing standard care changed over time in patients managed in clinical practice. Prescription Cost Analysis (PCA) data were extracted and the average price of the drug mix used was computed throughout the study period. Using this information, the maximum clinical benefit and cost savings to be had were estimated for each year of the analysis using a cost-effectiveness model. Subsequently, the highest price a new technology providing the maximum clinical effectiveness possible (i.e. eliminating cardiovascular risk from high cholesterol levels) could achieve under current cost-effectiveness rules was calculated and used as a measure of the potential cost effectiveness of drugs in development.

resultsThe results in this study show that the total cholesterol values of patients managed in clinical practice moved steadily towards recommended clinical targets. Overall, the absolute potential for incremental health-related quality of life decreased by approximately 78 %, contracting from 0.36 QALYs to 0.08 QALYs, which resulted in a saving of approximately 15 % of the costs related to cardiovascular events. The price of the drug mix used in the management of high blood cholesterol varied considerably across the years: the weighted average monthly price (in year 2007 values) started at approximately £14, peaked around £26 and progressively decreased to its minimum at £6.85 in 2010. As a consequence, the maximum price allowed by current cost-effectiveness rules for a new technology achieving the clinical target was found to decrease by a minimum of 80 % between 1990 and 2010.

conclusionThe analysis supports the hypothesis that the potential for cost effectiveness of new therapies is dependent on factors specific to each disease area and furthermore to sub-populations within disease areas. Despite a clinical need still existing, the results suggest that no more technologies are likely to be developed in certain disease areas based on their low perceived cost-effectiveness potential. This occurs without considering the immediate and future value of the effectiveness lost, which may depend on the technical difficulty of materializing future advancements, and ignores the permanent character of such a decision. The analysis suggests that a single, static and arbitrary cost-effectiveness threshold may not be sufficient to capture the drug-development dynamics occurring at the disease level and successfully direct research to the disease areas that are most valued by society.

Indexed as

Drug DesignModels, EconomicCost-Benefit AnalysisCost SavingsDrug CostsHumansHypolipidemic AgentsQuality-Adjusted Life YearsTime FactorsUnited KingdomHypolipidemic Agents

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Registered trials

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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.