The business case for quality: estimating lives saved and harms avoided in a value-based purchasing model.

health outcomes population health quality measurement quality of care

Journal

Health affairs scholar
ISSN: 2976-5390
Titre abrégé: Health Aff Sch
Pays: England
ID NLM: 9918627882906676

Informations de publication

Date de publication:
May 2024
Historique:
received: 29 01 2024
revised: 03 04 2024
accepted: 29 04 2024
medline: 17 5 2024
pubmed: 17 5 2024
entrez: 17 5 2024
Statut: epublish

Résumé

Ever-increasing concern about the cost and burden of quality measurement and reporting raises the question: How much do patients benefit from provider arrangements that incentivize performance improvements? We used national performance data to estimate the benefits in terms of lives saved and harms avoided if US health plans improved performance on 2 widely used quality measures: blood pressure control and colorectal cancer screening. We modeled potential results both in California Marketplace plans, where a value-based purchasing initiative incentivizes improvement, and for the US population across 4 market segments (Medicare, Medicaid, Marketplace, commercial). The results indicate that if the lower-performing health plans improve to 66th percentile benchmark scores, it would decrease annual hypertension and colorectal cancer deaths by approximately 7% and 2%, respectively. These analyses highlight the value of assessing performance accountability initiatives for their potential lives saved and harms avoided, as well as their costs and efforts.

Identifiants

pubmed: 38757002
doi: 10.1093/haschl/qxae052
pii: qxae052
pmc: PMC11098439
doi:

Types de publication

Journal Article

Langues

eng

Pagination

qxae052

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press on behalf of Project HOPE - The People-To-People Health Foundation, Inc.

Déclaration de conflit d'intérêts

Conflicts of interest Please see ICMJE form(s) for author conflicts of interest. These have been provided as supplementary materials.

Auteurs

Peter Amico (P)

Amico Consulting LLC, Orlando, FL 32806, United States.

Elizabeth E Drye (EE)

National Quality Forum, Washington, DC 20005, United States.

Peter Lee (P)

Stanford University Clinical Excellence Research Center, Palo Alto, CA 94304, United States.

Carolee Lantigua (C)

National Quality Forum, Washington, DC 20005, United States.

Dana Gelb Safran (DG)

National Quality Forum, Washington, DC 20005, United States.

Classifications MeSH