Literature DB >> 25750459

Measuring Returns to Hospital Care: Evidence from Ambulance Referral Patterns.

Joseph Doyle1, John Graves2, Jonathan Gruber3, Samuel Kleiner4.   

Abstract

Medicare spending exceeds 4% of GDP in the US each year, and there are concerns that moral hazard problems have led to overspending. This paper considers whether hospitals that treat patients more aggressively and receive higher payments from Medicare improve health outcomes for their patients. An innovation is a new lens to compare hospital performance for emergency patients: plausibly exogenous variation in ambulance-company assignment among patients who live near one another. Using Medicare data from 2002-2010, we show that ambulance company assignment importantly affects hospital choice for patients in the same ZIP code. Using data for New York State from 2000-2006 that matches exact patient addresses to hospital discharge records, we show that patients who live very near each other but on either side of ambulance service area boundaries go to different types of hospitals. Both identification strategies show that higher-cost hospitals achieve better patient outcomes for a variety of emergency conditions. Using our Medicare sample, the estimates imply that a one standard deviation increase in Medicare reimbursement leads to a 4 percentage point reduction in mortality (10% compared to the mean). Taking into account one-year spending after the health shock, the implied cost per at least one year of life saved is approximately $80,000. These results are found across different types of hospitals and patients, as well across both identification strategies.

Entities:  

Year:  2015        PMID: 25750459      PMCID: PMC4351552          DOI: 10.1086/677756

Source DB:  PubMed          Journal:  J Polit Econ        ISSN: 0022-3808


  35 in total

1.  Medicare spending, the physician workforce, and beneficiaries' quality of care.

Authors:  Katherine Baicker; Amitabh Chandra
Journal:  Health Aff (Millwood)       Date:  2004 Jan-Jun       Impact factor: 6.301

2.  What is the best way to estimate hospital quality outcomes? A simulation approach.

Authors:  Andrew Ryan; James Burgess; Robert Strawderman; Justin Dimick
Journal:  Health Serv Res       Date:  2012-02-21       Impact factor: 3.402

3.  Hospital spending and inpatient mortality: evidence from California: an observational study.

Authors:  John A Romley; Anupam B Jena; Dana P Goldman
Journal:  Ann Intern Med       Date:  2011-02-01       Impact factor: 25.391

4.  Long-term outcomes of regional variations in intensity of invasive vs medical management of Medicare Patients with acute myocardial infarction.

Authors:  Therese A Stukel; F Lee Lucas; David E Wennberg
Journal:  JAMA       Date:  2005-03-16       Impact factor: 56.272

5.  Relationship of hospital teaching status with quality of care and mortality for Medicare patients with acute MI.

Authors:  J J Allison; C I Kiefe; N W Weissman; S D Person; M Rousculp; J G Canto; S Bae; O D Williams; R Farmer; R M Centor
Journal:  JAMA       Date:  2000-09-13       Impact factor: 56.272

6.  Association of hospital spending intensity with mortality and readmission rates in Ontario hospitals.

Authors:  Therese A Stukel; Elliott S Fisher; David A Alter; Astrid Guttmann; Dennis T Ko; Kinwah Fung; Walter P Wodchis; Nancy N Baxter; Craig C Earle; Douglas S Lee
Journal:  JAMA       Date:  2012-03-14       Impact factor: 56.272

7.  Geographic variation in diagnosis frequency and risk of death among Medicare beneficiaries.

Authors:  H Gilbert Welch; Sandra M Sharp; Dan J Gottlieb; Jonathan S Skinner; John E Wennberg
Journal:  JAMA       Date:  2011-03-16       Impact factor: 56.272

8.  Geographic variation in the treatment of acute myocardial infarction: the Cooperative Cardiovascular Project.

Authors:  G T O'Connor; H B Quinton; N D Traven; L D Ramunno; T A Dodds; T A Marciniak; J E Wennberg
Journal:  JAMA       Date:  1999-02-17       Impact factor: 56.272

9.  Availability of safety net providers and access to care of uninsured persons.

Authors:  Jack Hadley; Peter Cunningham
Journal:  Health Serv Res       Date:  2004-10       Impact factor: 3.402

10.  Is survival better at hospitals with higher "end-of-life" treatment intensity?

Authors:  Amber E Barnato; Chung-Chou H Chang; Max H Farrell; Judith R Lave; Mark S Roberts; Derek C Angus
Journal:  Med Care       Date:  2010-02       Impact factor: 2.983

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  25 in total

1.  Measuring Emergency Care Survival: The Implications of Risk-Adjusting for Race and Poverty.

Authors:  Kimon L H Ioannides; Avi Baehr; David N Karp; Douglas J Wiebe; Brendan G Carr; Daniel N Holena; M Kit Delgado
Journal:  Acad Emerg Med       Date:  2018-05-31       Impact factor: 3.451

2.  Does waiting times decrease or increase operational costs in short and long-term? Evidence from Portuguese public hospitals.

Authors:  André Madeira; Victor Moutinho; José Alberto Fuinhas
Journal:  Eur J Health Econ       Date:  2021-06-09

3.  Low-Value Service Use in Provider Organizations.

Authors:  Aaron L Schwartz; Alan M Zaslavsky; Bruce E Landon; Michael E Chernew; J Michael McWilliams
Journal:  Health Serv Res       Date:  2016-11-10       Impact factor: 3.402

4.  Defensive Medicine: Evidence from Military Immunity.

Authors:  Michael Frakes; Jonathan Gruber
Journal:  Am Econ J Econ Policy       Date:  2019-08

5.  Technology Diffusion and Productivity Growth in Health Care.

Authors:  Jonathan Skinner; Douglas Staiger
Journal:  Rev Econ Stat       Date:  2015-12-08

6.  The Effect of Access to Electronic Health Records on Throughput Efficiency and Imaging Utilization in the Emergency Department.

Authors:  Matthew M Knepper; Edward M Castillo; Theodore C Chan; David A Guss
Journal:  Health Serv Res       Date:  2017-04-04       Impact factor: 3.402

7.  Primary care physician practice styles and patient care: Evidence from physician exits in Medicare.

Authors:  Itzik Fadlon; Jessica Van Parys
Journal:  J Health Econ       Date:  2020-04-01       Impact factor: 3.883

8.  The Association Between Income and Life Expectancy in the United States, 2001-2014.

Authors:  Raj Chetty; Michael Stepner; Sarah Abraham; Shelby Lin; Benjamin Scuderi; Nicholas Turner; Augustin Bergeron; David Cutler
Journal:  JAMA       Date:  2016-04-26       Impact factor: 56.272

9.  Association of Geographic Differences in Prevalence of Uncontrolled Chronic Conditions With Changes in Individuals' Likelihood of Uncontrolled Chronic Conditions.

Authors:  Aaron Baum; Juan Wisnivesky; Sanjay Basu; Albert L Siu; Mark D Schwartz
Journal:  JAMA       Date:  2020-10-13       Impact factor: 56.272

10.  Association Between Medicare Expenditure Growth and Mortality Rates in Patients With Acute Myocardial Infarction: A Comparison From 1999 Through 2014.

Authors:  Donald S Likosky; Jessica Van Parys; Weiping Zhou; William B Borden; Milton C Weinstein; Jonathan S Skinner
Journal:  JAMA Cardiol       Date:  2018-02-01       Impact factor: 14.676

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