Evidence map›Paper›PMID 28212967›Full record

ArticleValue in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research2017

Decision Making on Medical Innovations in a Changing Health Care Environment: Insights from Accountable Care Organizations and Payers on Personalized Medicine and Other Technologies.

Julia R Trosman, Christine B Weldon, Michael P Douglas, Patricia A Deverka, John B Watkins, Kathryn A Phillips

Abstract read
In one paragraph

Article in Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Laboratory business models and practices: implications for availability and access to germline genetic testing.Genetics in medicine : official journal of the American College of Medical Genetics · 2021
    Article
  4. Article
  5. Review
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

6 authors.

Julia R TrosmanUCSF Center for Translational and Policy Research on Personalized Medicine (TRANSPERS), Department of Clinical Pharmacy, University of California, San Franscisco, CA, USA; Center for Business Models in Healthcare, Chicago, IL, USA; Feinberg School of Medicine, Northwestern University, Chicago, IL, USA. Electronic address: trosman@centerforbusinessmodels.com.
Christine B WeldonUCSF Center for Translational and Policy Research on Personalized Medicine (TRANSPERS), Department of Clinical Pharmacy, University of California, San Franscisco, CA, USA; Center for Business Models in Healthcare, Chicago, IL, USA; Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Michael P DouglasUCSF Center for Translational and Policy Research on Personalized Medicine (TRANSPERS), Department of Clinical Pharmacy, University of California, San Franscisco, CA, USA.
Patricia A DeverkaAmerican Institutes for Research, Chapel Hill, NC, USA.
John B WatkinsPremera Blue Cross, Mountlake Terrace, WA.
Kathryn A PhillipsUCSF Center for Translational and Policy Research on Personalized Medicine (TRANSPERS), Department of Clinical Pharmacy, University of California, San Franscisco, CA, USA; Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA; Philip R. Lee Institute for Health Policy, University of California, San Francisco, CA, USA.

Funding

Risk-Benefit Trade-Offs for Whole Genome SequencingR01HG007063 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PHILLIPS, KATHRYN A · 2013 to 2016
$2.5M
NHGRI NIH HHS R01 HG007063
6 · The paper itself

Abstract

backgroundNew payment and care organization approaches, such as those of accountable care organizations (ACOs), are reshaping accountability and shifting risk, as well as decision making, from payers to providers, within the Triple Aim context of health reform. The Triple Aim calls for improving experience of care, improving health of populations, and reducing health care costs.

objectivesTo understand how the transition to the ACO model impacts decision making on adoption and use of innovative technologies in the era of accelerating scientific advancement of personalized medicine and other innovations.

methodsWe interviewed representatives from 10 private payers and 6 provider institutions involved in implementing the ACO model (i.e., ACOs) to understand changes, challenges, and facilitators of decision making on medical innovations, including personalized medicine. We used the framework approach of qualitative research for study design and thematic analysis.

resultsWe found that representatives from the participating payer companies and ACOs perceive similar challenges to ACOs' decision making in terms of achieving a balance between the components of the Triple Aim-improving care experience, improving population health, and reducing costs. The challenges include the prevalence of cost over care quality considerations in ACOs' decisions and ACOs' insufficient analytical and technology assessment capacity to evaluate complex innovations such as personalized medicine. Decision-making facilitators included increased competition across ACOs and patients' interest in personalized medicine.

conclusionsAs new payment models evolve, payers, ACOs, and other stakeholders should address challenges and leverage opportunities to arm ACOs with robust, consistent, rigorous, and transparent approaches to decision making on medical innovations.

Indexed as

Decision MakingAccountable Care OrganizationsCost-Benefit AnalysisHumansInsurance CarriersInterviews as TopicNeoplasmsPrecision MedicineTechnology Assessment, BiomedicalUnited Statesaccountable care organizationscoverage policydecision makingpersonalized medicine

Identifiers

PMID28212967
PMCPMC5319741

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.