Evidence map›Paper›PMID 24123568›Full record

ArticleHealth economics2014

Heterogeneity in action: the role of passive personalization in comparative effectiveness research.

Anirban Basu, Anupam B Jena, Dana P Goldman, Tomas J Philipson, Robert Dubois

Abstract read
In one paragraph

Article in Health economics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. A Framework for Prioritizing Research Investments in Precision Medicine.Medical decision making : an international journal of the Society for Medical Decision Making · 2016
    Article
  6. Observational
  7. Article
  8. Article
  9. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Anirban BasuDepartment of Health Services, University of Washington, Seattle and the National Bureau of Economic Research, Cambridge MA, Seattle, WA, USA.
Anupam B Jena
Dana P Goldman
Tomas J Philipson
Robert Dubois

Funding

USC-Yale Roybal Center for Behavioral Interventions in AgingP30AG024968 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JASON N. DOCTOR · 2004 to 2026
$14.7M
A Comprehensive Probabilistic-Micro-Simulation Model to Assess Cost-EffectivenessR01MH083706 · NIMH · UNIVERSITY OF WASHINGTON · PI BASU, ANIRBAN · 2008 to 2013
$2.1M
Advancing Instrumental Variable Methods in Comparative Effectiveness ResearchRC4CA155809 · NCI · UNIVERSITY OF WASHINGTON · PI BASU, ANIRBAN · 2010 to 2010
$1.5M
Instrumental Variable Methods for Censored Cost Data and an Application in ProstaR01CA155329 · NCI · UNIVERSITY OF WASHINGTON · PI BASU, ANIRBAN · 2011 to 2013
$1.3M
NCI NIH HHS R01 CA155329NCI NIH HHS R01CA155329NCI NIH HHS RC4 CA155809NCI NIH HHS RC4CA155809NIA NIH HHS 7P30AG024968NIA NIH HHS P30 AG024968NIMH NIH HHS R01 MH083706NIMH NIH HHS R01MH083706
6 · The paper itself

Abstract

Despite the goal of comparative effectiveness research (CER) to inform patient-centered care, most studies fail to account for the patient-centeredness of care that already exist in practice, which we denote as passive personalization (PP). Because CER studies describe the average effectiveness of treatments rather than heterogeneity in how individual patients respond to therapies, clinical or coverage policies that respond to CER results may undermine PP in clinical practice and generate worse outcomes. We study this phenomenon empirically in the context of use of antipsychotic drugs in Medicaid patients with schizophrenia using novel instrumental variable methods. We find strong support for PP in clinical practice and demonstrate that the average effects from a CER study cannot be replicated in practice because of the presence of PP. In contrast, providing physicians with evidence to further personalize treatment can produce significant benefits.

Indexed as

Comparative Effectiveness ResearchAdultAntipsychotic AgentsFemaleHealth PolicyHumansMaleMedicaidModels, EconometricPrecision MedicineSchizophreniaTreatment OutcomeUnited StatesAntipsychotic Agentsantipsychotic drugscomparative effectivenessheterogeneitypassive personalizationschizophrenia

Identifiers

PMID24123568
PMCPMC4282978

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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.