Literature DB >> 30007212

Adoption and learning across hospitals: The case of a revenue-generating practice.

Adam Sacarny1.   

Abstract

Performance-raising practices tend to diffuse slowly in the health care sector. To understand how incentives drive adoption, I study a practice that generates revenue for hospitals: submitting detailed documentation about patients. After a 2008 reform, hospitals could raise their Medicare revenue over 2% by always specifying a patient's type of heart failure. Hospitals only captured around half of this revenue, indicating that large frictions impeded takeup. Exploiting the fact that many doctors practice at multiple hospitals, I find that four-fifths of the dispersion in adoption reflects differences in the ability of hospitals to extract documentation from physicians. A hospital's adoption of coding is robustly correlated with its heart attack survival rate and its use of inexpensive survival-raising care. Hospital-physician integration and electronic medical records are also associated with adoption. These findings highlight the potential for institution-level frictions, including agency conflicts, to explain variations in health care performance across providers.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Firm performance; Healthcare; Hospitals; Technology adoption; Upcoding

Mesh:

Year:  2018        PMID: 30007212      PMCID: PMC9175183          DOI: 10.1016/j.jhealeco.2018.06.005

Source DB:  PubMed          Journal:  J Health Econ        ISSN: 0167-6296            Impact factor:   3.804


  43 in total

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5.  Health Care Exceptionalism? Performance and Allocation in the US Health Care Sector.

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6.  Compliance with handwashing in a teaching hospital. Infection Control Program.

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Journal:  Ann Intern Med       Date:  1999-01-19       Impact factor: 25.391

7.  Does more intensive treatment of acute myocardial infarction in the elderly reduce mortality? Analysis using instrumental variables.

Authors:  M McClellan; B J McNeil; J P Newhouse
Journal:  JAMA       Date:  1994-09-21       Impact factor: 56.272

8.  Is technological change in medicine always worth it? The case of acute myocardial infarction.

Authors:  Jonathan S Skinner; Douglas O Staiger; Elliott S Fisher
Journal:  Health Aff (Millwood)       Date:  2006-02-07       Impact factor: 9.048

9.  Upcoding: Evidence from Medicare on Squishy Risk Adjustment.

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Journal:  J Polit Econ       Date:  2020-01-29

10.  Medicare disease management in policy context.

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Journal:  Health Care Financ Rev       Date:  2008
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6.  Association of Insurance Mix and Diagnostic Coding Practices in New York State Hospitals.

Authors:  Kacie L Dragan; Sunita M Desai; John Billings; Sherry A Glied
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7.  Patient Coded Severity and Payment Penalties Under the Hospital Readmissions Reduction Program: A Machine Learning Approach.

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  7 in total

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