Evidence map›Paper›PMID 34846633›Full record

ArticleHealth care management science2022

A quantitative analysis of risk-sharing agreements with patient support programs for improving medication adherence.

Hui Zhang, Tao Huang, Tao Yan

Abstract read
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Article in Health care management science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Hui ZhangFaculty of Business Administration, Lakehead University, Thunder Bay, Ontario, Canada. hzhang2@lakeheadu.ca.ORCID http://orcid.org/0000-0002-7683-6969
Tao HuangGuanghua School of Management, Peking University, Beijing, China.
Tao YanSchool of Management, Zhejiang University of Finance and Economics, Hangzhou, Zhejiang Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medication adherence is a challenge for patients, drugmakers, and payers. To promote adherence, some payers adopt a form of pay-for-success value-based risk-sharing agreements. Drugmakers reduce prices for meaningful improvement in adherence and share patient information and resources with payers; as a return, payers run patient support programs and put drugs on a tier with lower copays. We use a game-theoretic approach to investigate the optimal program effect and the optimal prices with and without improvement in adherence, measured by Proportion of Days Covered, under such an agreement. Since negotiation power impacts how prices are determined, we consider several pricing settings: the payer or the drugmaker sets both prices or sets one price simultaneously or sequentially. Although a discount for improved adherence tends to promote adherence, it may not always be achievable nor guarantees better adherence. The drugmaker with strong negotiation power can align its interest with social welfare but the payer may not. The payer with strong negotiation power can improve more adherence than the drugmaker. Balanced negotiation power contributes either the most or the least to adherence depending on contract form and decision sequence. Although cost-sharing by the drugmaker expects to increase program efforts, it may not be true. We find that the policymaker prefers different levels of cost-sharing under different pricing settings. The payer may have a first-mover advantage when setting the price without improved adherence; the drugmaker, however, does not have such an advantage.

Indexed as

Drug CostsMedication AdherenceCosts and Cost AnalysisHumansCost-effectivenessGame-theoryMedication adherencePatient-centricPatient support programsValue-based risk-sharing

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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.