Evidence map›Paper›PMID 23877738›Full record

ArticlePharmacoEconomics2013

Navigating time and uncertainty in health technology appraisal: would a map help?

Christopher McCabe, Richard Edlin, Peter Hall

Abstract read
PubMed Publisher
In one paragraph

Article in PharmacoEconomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Using the Payoff Time in Decision-Analytic Models: A Case Study for Using Statins in Primary Prevention.Medical decision making : an international journal of the Society for Medical Decision Making · 2017
    Article
  5. Article
  6. The value of innovation under value-based pricing.Journal of market access & health policy · 2016
    Article
  7. 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

3 authors.

Christopher McCabeCapital Health Endowed Chair in Emergency Medicine Research, Faculty of Medicine & Dentistry, School of Community Based Medicine, University of Alberta, Suite 736, University Terrace, 8303 112th Street, Edmonton, AB, T6G 2M8, Canada. mccabe1@ualberta.ca
Richard Edlin
Peter Hall

Funding

Department of Health RP-PG-0707-10101
6 · The paper itself

Abstract

Healthcare systems are increasingly under pressure to provide funding for innovative technologies. These technologies tend to be characterized by their potential to make valued contributions to patient health in areas of relative unmet need, and have high acquisition costs and uncertainty within the evidence base on their actual impact on health. Decision makers are increasingly interested in linking reimbursement strategies to the degree of uncertainty in the evidence base and, as a result, reimbursement for innovative technologies is frequently linked to some form of patient access or risk-sharing scheme. As the dominant methods of economic evaluation report final outcomes only at the time horizon of the analysis, they present only aggregated information. This omits much of the information available on how net benefit is distributed within the time horizon. In this article, we introduce the Net Benefit Probability Map (NBPM), which maps net health benefit versus time to identify how certain decision makers can be about the benefit of technologies at multiple time points. Using an illustrative example, we show how the NBPM can inform decision makers about how long it will take for innovative technologies to 'pay off', how methodological choices on discount rates affect results and how alternative payment mechanisms can reduce the risk for decision makers facing innovative technologies.

Indexed as

Health Care CostsUncertaintyCost-Benefit AnalysisDecision MakingDelivery of Health CareHumansTechnology, High-CostTime Factors

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.