Evidence map›Paper›PMID 27539222›Full record

ArticleHealth economics review2016

Implementing personalized medicine with asymmetric information on prevalence rates.

Fernando Antoñanzas, Carmelo A Juárez-Castelló, Roberto Rodríguez-Ibeas

Abstract read
In one paragraph

Article in Health economics review, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Fernando AntoñanzasDepartment of Economics, University of La Rioja, Cigüeña 60, 26006, Logrono, Spain. f.antonanzas@unirioja.es.
Carmelo A Juárez-CastellóDepartment of Economics, University of La Rioja, Cigüeña 60, 26006, Logrono, Spain.
Roberto Rodríguez-IbeasDepartment of Economics, University of La Rioja, Cigüeña 60, 26006, Logrono, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although personalized medicine is becoming the new paradigm to manage some diseases, the economics of personalized medicine have only focused on assessing the efficiency of specific treatments, lacking a theoretical framework analyzing the interactions between pharmaceutical firms and healthcare systems leading to the implementation of personalized treatments. We model the interaction between the hospitals and the manufacturer of a new treatment as an adverse selection problem where the firm does not have perfect information on the prevalence across hospitals of the genetic characteristics of the patients making them eligible to receive a new treatment. As a result of the model, hospitals with high prevalence rates benefit from the information asymmetry only when the standard treatment is inefficient when applied to the patients eligible to receive the new treatment. Otherwise, information asymmetry has no value. Personalized medicine may be fully or partially implemented depending on the proportion of high prevalence hospitals.

Indexed as

Endogenous reference priceExogenous reference priceGeneric drugOff-patent drugPharmaceutical expenditures

Identifiers

PMID27539222
PMCPMC4990530

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.