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Do We Get What We Pay For? Examining the Relationship Between Payments and Clinical Outcomes in High-Volume Elective Surgery in a Commercially-Insured Population

Dados Bibliográficos

ID13776182
AutoresMadison Arenchild (0000-0002-1753-686X, The University of Texas Health Science Center, Houston, TX, USA), Anaeze C Offodile (0000-0002-5169-4589, The University of Texas a MD Anderson Cancer Center, Houston, TX, USA), Lee Revere (0000-0003-3230-0115, The University of Texas Health Science Center, Houston, TX, USA, autor correspondente)
Ano2020
Volume57
Páginas46958020968780-46958020968780
Data de publicação2020-01-01
Open AccessSim
TipoARTICLE
PeriódicoINQUIRY The Journal of Health Care Organization Provision and Financing (JOURNAL)
Identificadores do periódicoISSN: 0046-9580 • E-ISSN: 1945-7243
EditoraSAGE Publishing (PUBLISHER • US)
DOI10.1177/0046958020968780
PMID33138676
OpenAlexW3096621139
IdiomaEN
Referências citadas50

Studies evaluating the cost and quality of healthcare services have produced inconsistent results. We seek to determine if higher paid hospitals have higher quality outcomes compared to those receiving lower payments, after accounting for clinical and market level factors. Using inpatient commercial claims from the IBM ® MarketScan ® Research Databases, we used an ordinal logistic regression to analyze the association between hospital median payments for elective hip and knee procedures and 3 quality outcomes: prolonged length of stay, complication rate, and 30-day readmission rate. Patient-level and market factor covariates were appropriately adjusted. Hospital-level payments were found to be not significantly correlated with hospital quality of care. This research suggests that higher payments cannot predict higher quality outcomes. This finding has implications for provider-payer negotiations, value-based insurance designs, strategies to increase high-value care provision, and consumer choices in an increasingly consumer-oriented healthcare landscape

Actuarial science · Business · Economics · Health care · Logistic regression · Multinomial logistic regression · Negotiation · Payment · Quality (philosophy · Finance · Health Systems, Economic Evaluations, Quality of Life · Healthcare cost, quality, practices · Healthcare Policy and Management · Medicine

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