Evidence map›Paper›PMID 35041480›Full record

ArticleCirculation. Cardiovascular quality and outcomes2022

Perks and Pitfalls of Performance-Linked Reimbursement for Novel Drugs: The Case of Sacubitril-Valsartan.

Alexander T Sandhu, Paul A Heidenreich, John Lin, Justin Parizo, Jay Bhattacharya, Jeremy D Goldhaber-Fiebert

Open access · bronzeAbstract read
In one paragraph

Article in Circulation. Cardiovascular quality and outcomes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 18% of its field
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 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. 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 at 4 institutions in 1 country.

Alexander T SandhuDepartment of Medicine (A.T.S., P.A.H., J.P.), Stanford University, CA.ORCID 0000-0003-3208-1143
Paul A HeidenreichDepartment of Medicine (A.T.S., P.A.H., J.P.), Stanford University, CA.ORCID 0000-0001-7730-8490
John LinDivision of Hematology and Oncology, Department of Medicine, University of Pennsylvania, Philadelphia (J.L.).ORCID 0000-0003-2490-4453
Justin ParizoDepartment of Medicine (A.T.S., P.A.H., J.P.), Stanford University, CA.
Jay BhattacharyaCenter for Health Policy/Primary Care and Outcomes Research (J.B., J.D.G.-F.), Stanford University, CA.
Jeremy D Goldhaber-FiebertCenter for Health Policy/Primary Care and Outcomes Research (J.B., J.D.G.-F.), Stanford University, CA.
Center For Policy Research · USVA Palo Alto Health Care System · USStanford University · USUniversity of Pennsylvania · US

Funding

The Effect of Value-based Payment on Heart Failure Quality of Care (Value-HF)K23HL151672 · NHLBI · STANFORD UNIVERSITY · PI SANDHU, ALEXANDER · 2020 to 2024
$854k
NHLBI NIH HHS K23 HL151672
6 · The paper itself

Abstract

backgroundRising drug costs have increased interest in performance-linked reimbursement (PLR) contracts that tie payment to patient outcomes. PLR is theoretically attractive to payers interested in reducing the risk of overpaying for expensive drugs, to manufacturers working to improve early drug adoption, and to patients seeking improved access. Multiple PLR contracts were developed for sacubitril-valsartan. We evaluated how the characteristics of a PLR contract influence its performance.

methodsWe used a published cost-effectiveness model of sacubitril-valsartan. We evaluated hypothetical PLR contracts that adjusted drug payment based on observed therapy effectiveness. Ideally, these contracts reduce the uncertainty around the value obtained with purchasing sacubitril-valsartan. By reducing the financial risk in covering an ineffective therapy, PLR incentivizes insurers to increase patient access. We measured the uncertainty in value as the SD of the incremental net monetary benefit (INMB), an estimate of therapy value incorporating costs and clinical benefits. We evaluated the change in INMB SD under a variety of different assumptions regarding contract design, therapy effectiveness, and population characteristics.

resultsOver 2 years, sacubitril-valsartan led to 0.042 additional quality-adjusted life-years at an incremental cost of $4916. Using a willingness-to-pay of $150 000 per quality-adjusted life-year, this led to a mean INMB across simulations of $1416 (SD, $1720). A PLR contract that adjusted payment based on cardiovascular mortality reduced the INMB SD moderately by 20.7% while a contract based on all-cause mortality was more effective (INMB SD reduction of 27.3%). A contract based on heart failure hospitalization reduction was ineffective. PLR effectiveness increased with greater uncertainty regarding therapy effectiveness or in sicker cohorts (eg, New York Heart Association Class III/IV heart failure). Contracts required precise estimates of treatment effect in addition to trust or verifiability between manufacturers and payers concerning patient selection.

conclusionsThe development of accurate prospective estimates of treatment effectiveness using actual enrollee characteristics will be critical for successful PLR. If able to meet these requirements, PLRs could incentivize insurers to expand access to expensive treatments by reducing financial risk.

Indexed as

Heart FailureTetrazolesAminobutyratesAngiotensin Receptor AntagonistsBiphenyl CompoundsDrug CombinationsHospitalizationHumansProspective StudiesStroke VolumeValsartanAminobutyratesAngiotensin Receptor AntagonistsBiphenyl CompoundsDrug CombinationssacubitrilTetrazolesValsartancosts and cost analysisdrug costseconomicsheart failureprescription drugs

Identifiers

PMID35041480
PMCPMC9070107
OpenAlexW4205401998

What OpenQuestion holds

Textmetadata
LicenceTDM
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.