Literature DB >> 10892359

The marginal benefits of invasive treatments for acute myocardial infarction: does insurance coverage matter?

J M Brooks1, M McClellan, H S Wong.   

Abstract

This paper applies instrumental variable (IV) techniques and estimates the average benefits of invasive surgical treatments for marginal acute myocardial infarction (AMI) patients by insurance coverage. The study uses data from the Agency for Healthcare Research and Quality's Healthcare Cost and Utilization Project (HCUP), State Inpatient Databases for the state of Washington, for years 1988-1993. We observed differences in average benefits for marginal patients across insurance subpopulations that cannot be explained by differences in measured clinical circumstances. Our empirical results show that the insurance subpopulations with the greatest estimated marginal benefits are those with the lowest expected payment generosity to providers. Because of the relatively weak explanatory power of our instruments for three insurance subpopulations, and because many of the parameter estimates across the insurance subpopulations are not statistically different from each other, policy recommendations should be approached cautiously. However, our application of IV techniques to AMI patients demonstrates the usefulness of this approach to estimate treatment effects across patient populations (e.g., across types of insurance coverage) for medical conditions of interest to policymakers. These estimates may help determine whether treatments are overutilized or underutilized.

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Year:  2000        PMID: 10892359

Source DB:  PubMed          Journal:  Inquiry        ISSN: 0046-9580            Impact factor:   1.730


  16 in total

1.  Effect of dialysis center profit-status on patient survival: a comparison of risk-adjustment and instrumental variable approaches.

Authors:  John M Brooks; Christopher P Irwin; Lawrence G Hunsicker; Michael J Flanigan; Elizabeth A Chrischilles; Jane F Pendergast
Journal:  Health Serv Res       Date:  2006-12       Impact factor: 3.402

2.  Effect of evidence-based acute pain management practices on inpatient costs.

Authors:  John M Brooks; Marita G Titler; Gail Ardery; Keela Herr
Journal:  Health Serv Res       Date:  2009-02       Impact factor: 3.402

3.  Five good reasons to be disappointed with randomized trials.

Authors:  Chad E Cook; Charles A Thigpen
Journal:  J Man Manip Ther       Date:  2019-03-14

4.  The Reliability of Instrumental Variables in Health Care Effectiveness Research: Less Is More.

Authors:  Stephen B Soumerai; Ross Koppel
Journal:  Health Serv Res       Date:  2016-07-21       Impact factor: 3.402

5.  Comparative Effectiveness of Surgical Options for Patients with Ductal Carcinoma In Situ: An Instrumental Variable Approach.

Authors:  Lewei Duan; Aniket A Kawatkar
Journal:  Perm J       Date:  2018

6.  Does ambulatory process of care predict health-related quality of life outcomes for patients with chronic disease?

Authors:  Katherine L Kahn; Diana M Tisnado; John L Adams; Honghu Liu; Wen-Pin Chen; Fang Ashlee Hu; Carol M Mangione; Ronald D Hays; Cheryl L Damberg
Journal:  Health Serv Res       Date:  2007-02       Impact factor: 3.402

7.  Does supplemental private insurance affect care of Medicare recipients hospitalized for myocardial infarction?

Authors:  Jing Fang; Michael H Alderman
Journal:  Am J Public Health       Date:  2004-05       Impact factor: 9.308

8.  Does aggressive care following acute myocardial infarction reduce mortality? Analysis with instrumental variables to compare effectiveness in Canadian and United States patient populations.

Authors:  Christine A Beck; John Penrod; Theresa W Gyorkos; Stan Shapiro; Louise Pilote
Journal:  Health Serv Res       Date:  2003-12       Impact factor: 3.402

9.  Was breast conserving surgery underutilized for early stage breast cancer? Instrumental variables evidence for stage II patients from Iowa.

Authors:  John M Brooks; Elizabeth A Chrischilles; Shane D Scott; Shari S Chen-Hardee
Journal:  Health Serv Res       Date:  2003-12       Impact factor: 3.402

10.  What is the effect of area size when using local area practice style as an instrument?

Authors:  John M Brooks; Yuexin Tang; Cole G Chapman; Elizabeth A Cook; Elizabeth A Chrischilles
Journal:  J Clin Epidemiol       Date:  2013-08       Impact factor: 6.437

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