Saltar al contenido principal

ETHNOS_APP

Inicio • Búsqueda • Revistas • Lista 0

Analysis of Affordable Health Care

Datos Bibliográficos

ID9100930
AutoresTsan-Yao Huang, Tsan‐Yao Huang (University of Minnesota), Adeniyi Togun (0000-0003-3914-5234, University of Minnesota), Tyler Boese (University of Minnesota), Bryan E Dowd, Bryan Dowd (0000-0002-3384-5144, University of Minnesota, autor de correspondencia)
Año2022
Volumen60
Número9
Páginas718-725
Fecha de publicación2022-09-01
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaMedical Care (JOURNAL)
Identificadores de la revistaISSN: 0025-7079 • E-ISSN: 1537-1948
EditorialOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0000000000001755
PMID35866553
OpenAlexW4286697478
IdiomaEN
Citas recibidas1
Referencias citadas41

BACKGROUND: Lack of affordable health care affects the uninsured, commercially insured, and Medicare beneficiaries. Yet, the wide variation in providers' prices and practice styles suggests that more affordable care already may be available and data on low value and wasteful care suggest that lower cost care need not come at the expense of better quality. Although price variation has received the most attention in the literature and legislation, total cost of care is a function of both unit prices (fees) and the quantity of services. OBJECTIVE: To partition provider-specific variation in total annual risk-adjusted per capita expenditures on health care services into variation in unit prices (fees) versus quantities of services, and to explore the relationship between low value, avoidable, discretionary, and recommended care to total health expenditures. The analysis is important because both prices and quantities of services can affect affordability and reductions in prices versus quantities have very different effects on providers' profits. SETTING: 2018 data from the Minnesota State Employees Group Insurance Program (SEGIP) that offers a tiered cost-sharing health insurance benefit design to 130,000 State employees and their dependents (SEGIP "members"). EXPOSURE: Each year during open enrollment, SEGIP members choose a primary care clinic (PCC). The PCC can make decisions regarding both unit prices and prescribed services. PCCs are placed in one of four cost-sharing tiers based on the total annual risk-adjusted per capita health expenditures for the SEGIP members who choose their clinic. Members choosing higher cost PCCs face higher deductibles, copayments, and maximum out-of-pocket spending limits. MEASURES: Overall prices and use of inpatient, outpatient hospital, professional, and pharmaceutical services, total and avoidable use of emergency department visits and inpatient admissions, low value care, testing for patients with pneumonia, and recommended preventive care. RESULTS: Differences in total risk-adjusted annual per capita health expenditures across the care systems were substantial. Higher cost providers had both higher unit prices and higher use of services. Variation in the quantity of health care services explained more of the variance in total spending than variation in prices. Prices for professional services and use of inpatient, outpatient hospital, and pharmaceutical services, and ambulatory care sensitive admissions, contributed significantly to high total expenditures. Lower cost PCCs in the lowest cost-sharing tier had higher rates of low value care and lower emergency department visits per capita. Neither the number of investigations for patients with pneumonia nor the receipt of recommended mammography screening varied systematically by tier. CONCLUSIONS: Efforts to identify and expand sources of affordable care, including improved information and incentives for consumers, need to account for variation in both prices and quantities of services. Efforts to encourage more efficient use of health care services by providers need to consider the effect of those efforts on the provider's internal costs and thus their profits

Actuarial science · Business · Cost sharing · Economic growth · Economics · Environmental health · Health care · Legislation · Per capita · Population · Unit (ring theory) · Unit price · Economic and Financial Impacts of Cancer · Healthcare cost, quality, practices · Healthcare Policy and Management · Medicine · Nursing

  • Assessing the price levels of medical service and influential factors

    Open Access•Yanxian Lin, Luo Li et al.•BMC Public Health•2024

  • Waste in the US Health Care System

    William H Shrank, Teresa L Rogstad et al.•JAMA•2019

  • Screening for Breast Cancer

    Open Access•Albert L Siu, on behalf of the U S Preventive Services Task Force•Annals of Internal Medicine•2016

  • Eliminating Waste in US Health Care

    Andrew D Hackbarth•JAMA•2012

  • It’s The Prices, Stupid

    Gerald F Anderson, Gerard F Anderson et al.•Health Affairs•2003

  • Excess Medical Care Spending

    Matthew Speer, J Mac McCullough et al.•American Journal of Public Health•2020

  • Coding Algorithms for Defining Comorbidities in ICD-9-CM and ICD-10 Administrative Data

    Hude Quan, Vijaya Sundararajan et al.•Medical Care•2005

  • Systemwide Provider Performance in a Medicaid Program

    Neil R Powe, Jonathan P Weiner et al.•Medical Care•1996

  • Validation of an Algorithm for Categorizing the Severity of Hospital Emergency Department Visits

    Dustin W Ballard, Mary Price et al.•Medical Care•2010

  • Development and Application of a Population-Oriented Measure of Ambulatory Care Case-Mix

    Jonathan P Weiner, Barbara Starfield et al.•Medical Care•1991

  • Health Plan Switching in Anticipation of Increased Medical Care Utilization

    James C Robinson, Laura B Gardner et al.•Medical Care•1993

  • Reference Pricing, Consumer Cost-Sharing, and Insurer Spending for Advanced Imaging Tests

    James C Robinson, Christopher Whaley et al.•Medical Care•2016

  • Overuse and Systems of Care

    Salomeh Keyhani, Raphael Falk et al.•Medical Care•2013

Obras citantes distintas1
Citas por año0,5
Intervalo de citas2024 - 2024 (1)
Velocidad de citaciónrecent
Altamente citadoNo
Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae