Evidence map›Paper›PMID 31232202›Full record

ArticleJournal of managed care & specialty pharmacy2019

Value-Based Insurance Design: Current Evidence and Future Directions.

Kai Yeung

Abstract read
In one paragraph

Article in Journal of managed care & specialty pharmacy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Advancing the conversation: 30 years of scholarship in managed care pharmacy.Journal of managed care & specialty pharmacy · 2025
    Article
  3. Review
  4. Article
  5. Article
  6. Letter--Assessing the Effectiveness of V-BID Implementations.Journal of managed care & specialty pharmacy · 2019
    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

1 author.

Kai Yeung1 Kaiser Permanente Washington Health Research Institute, Seattle, and The Comparative Health Outcomes, Policy, and Economics (CHOICE) Institute, University of Washington, Seattle.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Value-based insurance design (VBID) is an approach to designing insurance to align the use of health care services with some notion of value. While there is substantial federal interest in VBID and a growing body of evidence of its effects among populations covered by employer-sponsored plans, much of the focus has been on VBIDs that solely reduce cost sharing for certain treatments. The minority of VBIDs that have identified and increased cost sharing for low-value treatments have produced some promising results. Looking to the future, health plans should continue to develop and benefit from innovations in formulary design and health information technology that distinguishes and incentivizes high-value drugs in a patient-specific manner. DISCLOSURES: No funding contributed to the writing of this article. The author has nothing to disclose.

Indexed as

Cost SharingDelivery of Health CareFormularies as TopicHumansInsurance, HealthMedical InformaticsValue-Based Health Insurance

Identifiers

PMID31232202
PMCPMC10397823

What OpenQuestion holds

Textmetadata
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.