Literature DB >> 24476706

Understanding differences between high- and low-price hospitals: implications for efforts to rein in costs.

Chapin White, James D Reschovsky, Amelia M Bond.   

Abstract

Private insurers pay widely varying prices for inpatient care across hospitals. Previous research indicates that certain hospitals use market clout to obtain higher payment rates, but there have been few in-depth examinations of the relationship between hospital characteristics and pricing power. This study used private insurance claims data to identify hospitals receiving inpatient prices significantly higher or lower than the median in their market. High-price hospitals, compared to other hospitals, tend to be larger; be major teaching hospitals; belong to systems with large market shares; and provide specialized services, such as heart transplants and Level I trauma care. High-price hospitals also receive significant revenues from nonpatient sources, such as state Medicaid disproportionate-share hospital funds, and they enjoy healthy total financial margins. Quality indicators for high-price hospitals were mixed: High-price hospitals fared much better than low-price hospitals did in U.S. News & World Report rankings, which are largely based on reputation, while generally scoring worse on objective measures of quality, such as postsurgical mortality rates. Thus, insurers may face resistance if they attempt to steer patients away from high-price hospitals because these facilities have good reputations and offer specialized services that may be unique in their markets.

Entities:  

Keywords:  Cost of Health Care; Health Economics; Hospitals

Mesh:

Year:  2014        PMID: 24476706     DOI: 10.1377/hlthaff.2013.0747

Source DB:  PubMed          Journal:  Health Aff (Millwood)        ISSN: 0278-2715            Impact factor:   6.301


  13 in total

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Authors:  James D Park; Edward Kim; Rachel M Werner
Journal:  J Gen Intern Med       Date:  2015-05-01       Impact factor: 5.128

2.  A framework for guiding efforts to reward value instead of volume.

Authors:  Taylor J Christensen
Journal:  Int J Health Econ Manag       Date:  2015-11-07

3.  Variation in inpatient hospital prices and outpatient service quantities drive geographic differences in private spending in Texas.

Authors:  Luisa Franzini; Chapin White; Suthira Taychakhoonavudh; Rohan Parikh; Mark Zezza; Osama Mikhail
Journal:  Health Serv Res       Date:  2014-06-12       Impact factor: 3.402

4.  Variation in Payment Rates under Medicare's Inpatient Prospective Payment System.

Authors:  Sam Krinsky; Andrew M Ryan; Tod Mijanovich; Jan Blustein
Journal:  Health Serv Res       Date:  2016-04-08       Impact factor: 3.402

5.  High-Price And Low-Price Physician Practices Do Not Differ Significantly On Care Quality Or Efficiency.

Authors:  Eric T Roberts; Ateev Mehrotra; J Michael McWilliams
Journal:  Health Aff (Millwood)       Date:  2017-05-01       Impact factor: 6.301

6.  Leveraging electronic health record data for clinical trial planning by assessing eligibility criteria's impact on patient count and safety.

Authors:  James R Rogers; Jovana Pavisic; Casey N Ta; Cong Liu; Ali Soroush; Ying Kuen Cheung; George Hripcsak; Chunhua Weng
Journal:  J Biomed Inform       Date:  2022-02-18       Impact factor: 6.317

7.  Hospital resource allocation decisions when market prices exceed Medicare prices.

Authors:  Yang Wang; Gerard Anderson
Journal:  Health Serv Res       Date:  2021-12-23       Impact factor: 3.402

8.  Most Americans Do Not Believe That There Is An Association Between Health Care Prices And Quality Of Care.

Authors:  Kathryn A Phillips; David Schleifer; Carolin Hagelskamp
Journal:  Health Aff (Millwood)       Date:  2016-04       Impact factor: 6.301

9.  Association Between Teaching Status and Mortality in US Hospitals.

Authors:  Laura G Burke; Austin B Frakt; Dhruv Khullar; E John Orav; Ashish K Jha
Journal:  JAMA       Date:  2017-05-23       Impact factor: 56.272

10.  Do high-deductible health plans affect price paid for childbirth?

Authors:  Betsy Q Cliff
Journal:  Health Serv Res       Date:  2021-07-12       Impact factor: 3.402

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