Physician Market Structure, Patient Outcomes, and Spending: An Examination of Medicare Beneficiaries
Objective To understand the impact of changes in physician market structure on clinical outcomes and health care utilization. Data Sources 2005–2012 Medicare fee‐for‐service claims and enrollment data. Study Design We consider the effect of cardiology market structure on utilization and health outco...
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Veröffentlicht in: | Health services research 2018-10, Vol.53 (5), p.3549-3568 |
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creator | Koch, Thomas Wendling, Brett Wilson, Nathan E. |
description | Objective
To understand the impact of changes in physician market structure on clinical outcomes and health care utilization.
Data Sources
2005–2012 Medicare fee‐for‐service claims and enrollment data.
Study Design
We consider the effect of cardiology market structure on utilization and health outcomes for four patient populations. We estimate the risk‐adjusted impact of competition using multivariate regression models.
Principal Findings
The study finds that an increase in consolidation leads to statistically and economically significant increases in negative health outcomes. For example, we find that moving from a zip code at the 25th percentile of cardiology market concentration to one at the 75th percentile would be associated with 5 to 7 percent increases in risk‐adjusted mortality for three of the sample populations. We also found higher expenditures in more concentrated markets. For example, moving from a zip code at the 25th percentile of cardiology market concentration to one at the 75th would be associated with 7 to 11 percent increases in expenditures, depending on sample population.
Conclusions
Our estimates indicate that increases in cardiology market concentration are associated with worse health outcomes and higher health care expenditures. Some effects may be attributed to vertical as well as horizontal changes. |
doi_str_mv | 10.1111/1475-6773.12825 |
format | Article |
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To understand the impact of changes in physician market structure on clinical outcomes and health care utilization.
Data Sources
2005–2012 Medicare fee‐for‐service claims and enrollment data.
Study Design
We consider the effect of cardiology market structure on utilization and health outcomes for four patient populations. We estimate the risk‐adjusted impact of competition using multivariate regression models.
Principal Findings
The study finds that an increase in consolidation leads to statistically and economically significant increases in negative health outcomes. For example, we find that moving from a zip code at the 25th percentile of cardiology market concentration to one at the 75th percentile would be associated with 5 to 7 percent increases in risk‐adjusted mortality for three of the sample populations. We also found higher expenditures in more concentrated markets. For example, moving from a zip code at the 25th percentile of cardiology market concentration to one at the 75th would be associated with 7 to 11 percent increases in expenditures, depending on sample population.
Conclusions
Our estimates indicate that increases in cardiology market concentration are associated with worse health outcomes and higher health care expenditures. Some effects may be attributed to vertical as well as horizontal changes.</description><identifier>ISSN: 0017-9124</identifier><identifier>EISSN: 1475-6773</identifier><identifier>DOI: 10.1111/1475-6773.12825</identifier><identifier>PMID: 29355928</identifier><language>eng</language><publisher>United States: Health Research and Educational Trust</publisher><subject>Aged ; Cardiology ; Cardiology - economics ; Competition ; Economic Competition - economics ; Fee-for-Service Plans - economics ; Female ; Health aspects ; Health care costs ; Health Expenditures - statistics & numerical data ; Humans ; Male ; Medical care, Cost of ; Medical research ; Medicare ; Medicare - economics ; Medicare: Cost, Quality, and Utilization ; Medicine, Experimental ; Outcome Assessment, Health Care ; physicians ; Residence Characteristics ; United States</subject><ispartof>Health services research, 2018-10, Vol.53 (5), p.3549-3568</ispartof><rights>Published 2018. This article is a U.S. Government work and is in the public domain in the USA</rights><rights>Published 2018. This article is a U.S. Government work and is in the public domain in the USA.</rights><rights>COPYRIGHT 2018 Health Research and Educational Trust</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c6855-2ad163ea619a6bda9ca9acd52278c6fc7d5063d20f2cd5da66b1a654c4ef06243</citedby><cites>FETCH-LOGICAL-c6855-2ad163ea619a6bda9ca9acd52278c6fc7d5063d20f2cd5da66b1a654c4ef06243</cites><orcidid>0000-0001-5548-9796</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6153168/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6153168/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,727,780,784,885,1417,27924,27925,45574,45575,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29355928$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Koch, Thomas</creatorcontrib><creatorcontrib>Wendling, Brett</creatorcontrib><creatorcontrib>Wilson, Nathan E.</creatorcontrib><title>Physician Market Structure, Patient Outcomes, and Spending: An Examination of Medicare Beneficiaries</title><title>Health services research</title><addtitle>Health Serv Res</addtitle><description>Objective
To understand the impact of changes in physician market structure on clinical outcomes and health care utilization.
Data Sources
2005–2012 Medicare fee‐for‐service claims and enrollment data.
Study Design
We consider the effect of cardiology market structure on utilization and health outcomes for four patient populations. We estimate the risk‐adjusted impact of competition using multivariate regression models.
Principal Findings
The study finds that an increase in consolidation leads to statistically and economically significant increases in negative health outcomes. For example, we find that moving from a zip code at the 25th percentile of cardiology market concentration to one at the 75th percentile would be associated with 5 to 7 percent increases in risk‐adjusted mortality for three of the sample populations. We also found higher expenditures in more concentrated markets. For example, moving from a zip code at the 25th percentile of cardiology market concentration to one at the 75th would be associated with 7 to 11 percent increases in expenditures, depending on sample population.
Conclusions
Our estimates indicate that increases in cardiology market concentration are associated with worse health outcomes and higher health care expenditures. Some effects may be attributed to vertical as well as horizontal changes.</description><subject>Aged</subject><subject>Cardiology</subject><subject>Cardiology - economics</subject><subject>Competition</subject><subject>Economic Competition - economics</subject><subject>Fee-for-Service Plans - economics</subject><subject>Female</subject><subject>Health aspects</subject><subject>Health care costs</subject><subject>Health Expenditures - statistics & numerical data</subject><subject>Humans</subject><subject>Male</subject><subject>Medical care, Cost of</subject><subject>Medical research</subject><subject>Medicare</subject><subject>Medicare - economics</subject><subject>Medicare: Cost, Quality, and Utilization</subject><subject>Medicine, Experimental</subject><subject>Outcome Assessment, Health Care</subject><subject>physicians</subject><subject>Residence Characteristics</subject><subject>United States</subject><issn>0017-9124</issn><issn>1475-6773</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>N95</sourceid><recordid>eNqFkvGL0zAUx4so3m76s79JQRCFddekTdreD8Ic807YscPpzyFLXrtom8ymPW__vamdY4WhCSTw8nnfPN77et4rFE6RW1coTkhAkySaIpxi8sQbHSNPvVEYoiTIEI4vvEtrv4dhmEZp_Ny7wFlESIbTkSfvt3urhOLav-P1D2j8dVO3omlrmPj3vFGgG3_VNsJUYCc-19Jf70BLpYtrf6b9xSOvlHac0b7J_TuQSvAa_I-gIe90awX2hfcs56WFl4d77H37tPg6vw2Wq5vP89kyEDQlJMBcIhoBpyjjdCN5JnjGhSQYJ6mguUgkCWkkcZhjF5Wc0g3ilMQihjykOI7G3oded9duKpDC1V7zku1qVfF6zwxXbPii1ZYV5oFRRCJEUyfw7iBQm58t2IZVygooS67BtJahLM0yFCWuf2PvTY8WvASmdG6couhwNiMkJTFGhDoqOEMVrjnue9O1yIUH_PQM77aESomzCe8HCY5p4LEpeGstS2-W_yrmwApTllAAc6OYr4b82xN-C7xsttaUbTdsOwQnJ-CmtUqDdYdVxbaxfS0D_KrHRW2srSE_TgiFrLM160zMOhOzP7Z2Ga9PB3vk__rYAbQHfrn-7P-nx24X6y-98m8Bev7W</recordid><startdate>201810</startdate><enddate>201810</enddate><creator>Koch, Thomas</creator><creator>Wendling, Brett</creator><creator>Wilson, Nathan E.</creator><general>Health Research and Educational Trust</general><general>John Wiley and Sons Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>N95</scope><scope>XI7</scope><scope>8GL</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-5548-9796</orcidid></search><sort><creationdate>201810</creationdate><title>Physician Market Structure, Patient Outcomes, and Spending: An Examination of Medicare Beneficiaries</title><author>Koch, Thomas ; Wendling, Brett ; Wilson, Nathan E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c6855-2ad163ea619a6bda9ca9acd52278c6fc7d5063d20f2cd5da66b1a654c4ef06243</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Aged</topic><topic>Cardiology</topic><topic>Cardiology - economics</topic><topic>Competition</topic><topic>Economic Competition - economics</topic><topic>Fee-for-Service Plans - economics</topic><topic>Female</topic><topic>Health aspects</topic><topic>Health care costs</topic><topic>Health Expenditures - statistics & numerical data</topic><topic>Humans</topic><topic>Male</topic><topic>Medical care, Cost of</topic><topic>Medical research</topic><topic>Medicare</topic><topic>Medicare - economics</topic><topic>Medicare: Cost, Quality, and Utilization</topic><topic>Medicine, Experimental</topic><topic>Outcome Assessment, Health Care</topic><topic>physicians</topic><topic>Residence Characteristics</topic><topic>United States</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Koch, Thomas</creatorcontrib><creatorcontrib>Wendling, Brett</creatorcontrib><creatorcontrib>Wilson, Nathan E.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale Business: Insights</collection><collection>Business Insights: Essentials</collection><collection>Gale In Context: High School</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Health services research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Koch, Thomas</au><au>Wendling, Brett</au><au>Wilson, Nathan E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Physician Market Structure, Patient Outcomes, and Spending: An Examination of Medicare Beneficiaries</atitle><jtitle>Health services research</jtitle><addtitle>Health Serv Res</addtitle><date>2018-10</date><risdate>2018</risdate><volume>53</volume><issue>5</issue><spage>3549</spage><epage>3568</epage><pages>3549-3568</pages><issn>0017-9124</issn><eissn>1475-6773</eissn><abstract>Objective
To understand the impact of changes in physician market structure on clinical outcomes and health care utilization.
Data Sources
2005–2012 Medicare fee‐for‐service claims and enrollment data.
Study Design
We consider the effect of cardiology market structure on utilization and health outcomes for four patient populations. We estimate the risk‐adjusted impact of competition using multivariate regression models.
Principal Findings
The study finds that an increase in consolidation leads to statistically and economically significant increases in negative health outcomes. For example, we find that moving from a zip code at the 25th percentile of cardiology market concentration to one at the 75th percentile would be associated with 5 to 7 percent increases in risk‐adjusted mortality for three of the sample populations. We also found higher expenditures in more concentrated markets. For example, moving from a zip code at the 25th percentile of cardiology market concentration to one at the 75th would be associated with 7 to 11 percent increases in expenditures, depending on sample population.
Conclusions
Our estimates indicate that increases in cardiology market concentration are associated with worse health outcomes and higher health care expenditures. Some effects may be attributed to vertical as well as horizontal changes.</abstract><cop>United States</cop><pub>Health Research and Educational Trust</pub><pmid>29355928</pmid><doi>10.1111/1475-6773.12825</doi><tpages>20</tpages><orcidid>https://orcid.org/0000-0001-5548-9796</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Aged Cardiology Cardiology - economics Competition Economic Competition - economics Fee-for-Service Plans - economics Female Health aspects Health care costs Health Expenditures - statistics & numerical data Humans Male Medical care, Cost of Medical research Medicare Medicare - economics Medicare: Cost, Quality, and Utilization Medicine, Experimental Outcome Assessment, Health Care physicians Residence Characteristics United States |
title | Physician Market Structure, Patient Outcomes, and Spending: An Examination of Medicare Beneficiaries |
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