Evidence map›Paper›PMID 31087278›Full record

SynthesisPharmacoEconomics2019

Accounting for Capacity Constraints in Economic Evaluations of Precision Medicine: A Systematic Review.

Stuart J Wright, William G Newman, Katherine Payne

Abstract readSystematic Review
In one paragraph

Synthesis in PharmacoEconomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Virtual twin for healthcare management.Frontiers in digital health · 2023
    Article
  10. Economics and Precision Medicine.Handbook of experimental pharmacology · 2023
    Article
  11. Quantifying the Impact of Capacity Constraints in Economic Evaluations: An Application in Precision Medicine.Medical decision making : an international journal of the Society for Medical Decision Making · 2022
    Article
  12. Implementing Interventions with Varying Marginal Cost-Effectiveness: An Application in Precision Medicine.Medical decision making : an international journal of the Society for Medical Decision Making · 2020
    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.

Stuart J WrightManchester Centre for Health Economics, Division of Population Health, Health Services Research and Primary Care, The University of Manchester, Oxford Road, Manchester, M13 9PL, UK. stuart.wright-2@manchester.ac.uk.ORCID 0000-0002-4064-7998
William G NewmanManchester Centre for Genomic Medicine, Division of Evolution and Genomic Sciences, The University of Manchester, Manchester, UK.ORCID 0000-0002-6382-4678
Katherine PayneManchester Centre for Health Economics, Division of Population Health, Health Services Research and Primary Care, The University of Manchester, Oxford Road, Manchester, M13 9PL, UK.ORCID 0000-0002-3938-4350

Funding

Wellcome Trust 203405Wellcome Trust 203405/Z/16/Z
6 · The paper itself

Abstract

BACKGROUND AND

objectivePrecision (stratified or personalised) medicine is underpinned by the premise that it is feasible to identify known heterogeneity using a specific test or algorithm in patient populations and to use this information to guide patient care to improve health and well-being. This study aimed to understand if, and how, previous economic evaluations of precision medicine had taken account of the impact of capacity constraints.

methodsA meta-review was conducted of published systematic reviews of economic evaluations of precision medicine (test-treat interventions) and individual studies included in these reviews. Due to the volume of studies identified, a sample of papers published from 2007 to 2015 was collated. A narrative analysis identified whether potential capacity constraints were discussed qualitatively in the studies and, if relevant, which quantitative methods were used to account for capacity constraints.

resultsA total of 45 systematic reviews of economic evaluations of precision medicine were identified, from which 222 studies focusing on test-treat interventions, published between 2007 and 2015, were extracted. Of these studies, 33 (15%) qualitatively discussed the potential impact of capacity constraints, including budget constraints; quality of tests and the testing process; ease of use of tests in clinical practice; and decision uncertainty. Quantitative methods (nine studies) to account for capacity constraints included static methods such as capturing inefficiencies in trials or models and sensitivity analysis around model parameters; and dynamic methods, which allow the impact of capacity constraints on cost effectiveness to change over time.

conclusionsUnderstanding the cost effectiveness of precision medicine is necessary, but not sufficient, evidence for its successful implementation. There are currently few examples of evaluations that have quantified the impact of capacity constraints, which suggests an area of focus for future research.

Indexed as

Models, EconomicAlgorithmsCost-Benefit AnalysisHumansPrecision MedicineTime Factors

Identifiers

PMID31087278
PMCPMC6597608

What OpenQuestion holds

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LicenceCC BY
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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.