Validating a method to assess disease burden from insurance claims
To validate a method that estimates disease burden as disability-adjusted life-years (DALYs) from insurance claims and death records for the purpose of identifying the conditions that place the greatest burden of disease on an insured population. Comparison of the DALYs generated from death records...
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| Veröffentlicht in: | The American journal of managed care 2019-02, Vol.25 (2), p.e39-e44 |
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| container_title | The American journal of managed care |
| container_volume | 25 |
| creator | Kottke, Thomas E Gallagher, Jason M Lowry, Marcia Patel, Pawan D Rauri, Sachin Tillema, Juliana O Ziegenfuss, Jeanette Y Pronk, Nicolaas P Knudson, Susan M |
| description | To validate a method that estimates disease burden as disability-adjusted life-years (DALYs) from insurance claims and death records for the purpose of identifying the conditions that place the greatest burden of disease on an insured population.
Comparison of the DALYs generated from death records and insurance claims with functional status and health status reported by individuals who were insured with one of HealthPartners' commercial products and completed a health assessment in 2011, 2012, or 2013.
We calculated values of Spearman's ρ, the rank-order coefficient of correlation, for the correlation of DALYs with self-reported function and self-reported health. We did the same for the number of medical conditions per member and the cost of claims per member.
The Spearman's ρ values for the correlation of DALYs with function were -0.241, -0.238, and -0.229 in 2011, 2012, and 2013, respectively (all P |
| doi_str_mv | 10.37765/ajmc.2019.87897 |
| format | Article |
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Comparison of the DALYs generated from death records and insurance claims with functional status and health status reported by individuals who were insured with one of HealthPartners' commercial products and completed a health assessment in 2011, 2012, or 2013.
We calculated values of Spearman's ρ, the rank-order coefficient of correlation, for the correlation of DALYs with self-reported function and self-reported health. We did the same for the number of medical conditions per member and the cost of claims per member.
The Spearman's ρ values for the correlation of DALYs with function were -0.241, -0.238, and -0.229 in 2011, 2012, and 2013, respectively (all P <.0001). The respective Spearman's ρ values for the correlation of DALYs with health were -0.197, -0.189, and -0.192 (all P <.0001). These Spearman's ρ values were similar in magnitude to those for the correlation of the number of medical conditions per member with function (-0.212, -0.213, and -0.205) and health (-0.199, -0.196, and -0.198) over the 3 years. The Spearman's ρ values for the correlation of DALYs with function and health were greater than or equal to those for the correlation of cost of claims per member with function (-0.144, -0.193, and -0.186) and greater than those for the cost of claims per member with health (-0.126, -0.150, and -0.151).
Health plans can use DALYs calculated from their own health insurance claims and death records as a valid and inexpensive method to identify the conditions that place the greatest burden of poor function and ill health on their insured populations.</description><identifier>ISSN: 1088-0224</identifier><identifier>EISSN: 1936-2692</identifier><identifier>DOI: 10.37765/ajmc.2019.87897</identifier><identifier>PMID: 30763042</identifier><language>eng</language><publisher>United States: MultiMedia Healthcare Inc</publisher><subject>Adolescent ; Adult ; Aged ; Correlation analysis ; Cost of Illness ; Death benefits ; Death Certificates ; Disability insurance ; Female ; Health insurance ; Health Status ; Humans ; Insurance Claim Review ; Insurance claims ; Male ; Middle Aged ; Quality-Adjusted Life Years ; Young Adult</subject><ispartof>The American journal of managed care, 2019-02, Vol.25 (2), p.e39-e44</ispartof><rights>Copyright Intellisphere, LLC Feb 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,27905,27906</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30763042$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kottke, Thomas E</creatorcontrib><creatorcontrib>Gallagher, Jason M</creatorcontrib><creatorcontrib>Lowry, Marcia</creatorcontrib><creatorcontrib>Patel, Pawan D</creatorcontrib><creatorcontrib>Rauri, Sachin</creatorcontrib><creatorcontrib>Tillema, Juliana O</creatorcontrib><creatorcontrib>Ziegenfuss, Jeanette Y</creatorcontrib><creatorcontrib>Pronk, Nicolaas P</creatorcontrib><creatorcontrib>Knudson, Susan M</creatorcontrib><title>Validating a method to assess disease burden from insurance claims</title><title>The American journal of managed care</title><addtitle>Am J Manag Care</addtitle><description>To validate a method that estimates disease burden as disability-adjusted life-years (DALYs) from insurance claims and death records for the purpose of identifying the conditions that place the greatest burden of disease on an insured population.
Comparison of the DALYs generated from death records and insurance claims with functional status and health status reported by individuals who were insured with one of HealthPartners' commercial products and completed a health assessment in 2011, 2012, or 2013.
We calculated values of Spearman's ρ, the rank-order coefficient of correlation, for the correlation of DALYs with self-reported function and self-reported health. We did the same for the number of medical conditions per member and the cost of claims per member.
The Spearman's ρ values for the correlation of DALYs with function were -0.241, -0.238, and -0.229 in 2011, 2012, and 2013, respectively (all P <.0001). The respective Spearman's ρ values for the correlation of DALYs with health were -0.197, -0.189, and -0.192 (all P <.0001). These Spearman's ρ values were similar in magnitude to those for the correlation of the number of medical conditions per member with function (-0.212, -0.213, and -0.205) and health (-0.199, -0.196, and -0.198) over the 3 years. The Spearman's ρ values for the correlation of DALYs with function and health were greater than or equal to those for the correlation of cost of claims per member with function (-0.144, -0.193, and -0.186) and greater than those for the cost of claims per member with health (-0.126, -0.150, and -0.151).
Health plans can use DALYs calculated from their own health insurance claims and death records as a valid and inexpensive method to identify the conditions that place the greatest burden of poor function and ill health on their insured populations.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Correlation analysis</subject><subject>Cost of Illness</subject><subject>Death benefits</subject><subject>Death Certificates</subject><subject>Disability insurance</subject><subject>Female</subject><subject>Health insurance</subject><subject>Health Status</subject><subject>Humans</subject><subject>Insurance Claim Review</subject><subject>Insurance claims</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Quality-Adjusted Life Years</subject><subject>Young Adult</subject><issn>1088-0224</issn><issn>1936-2692</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdkLlOAzEURS0EIhDoqZAlGpoJ3sZLCRGbFIkGaC0vb2CiWcCeKfh7JiFQUL1bnHv1dBA6o2TBlZLllVu3YcEINQuttFF76IgaLgsmDdufMtG6IIyJGTrOeU0Il1rIQzTjRElOBDtCN6-uqaMb6u4NO9zC8N5HPPTY5Qw541hncBmwH1OEDlepb3Hd5TG5LgAOjavbfIIOKtdkON3dOXq5u31ePhSrp_vH5fWqCJyxoZCUADAahC-FpyBi5WVJnOHesYqV2pBQ-iBIjDJApUouZXBUUg8CuGaaz9Hlz-5H6j9HyINt6xygaVwH_ZgtY8xQUhJBJ_TiH7rux9RN31lGtTKUlopPFPmhQupzTlDZj1S3Ln1ZSuzWr934tRu_dut3qpzvhkffQvwr_Arl33g_dbI</recordid><startdate>20190201</startdate><enddate>20190201</enddate><creator>Kottke, Thomas E</creator><creator>Gallagher, Jason M</creator><creator>Lowry, Marcia</creator><creator>Patel, Pawan D</creator><creator>Rauri, Sachin</creator><creator>Tillema, Juliana O</creator><creator>Ziegenfuss, Jeanette Y</creator><creator>Pronk, Nicolaas P</creator><creator>Knudson, Susan M</creator><general>MultiMedia Healthcare 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>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope></search><sort><creationdate>20190201</creationdate><title>Validating a method to assess disease burden from insurance claims</title><author>Kottke, Thomas E ; Gallagher, Jason M ; Lowry, Marcia ; Patel, Pawan D ; Rauri, Sachin ; Tillema, Juliana O ; Ziegenfuss, Jeanette Y ; Pronk, Nicolaas P ; Knudson, Susan M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c322t-610ee21c4b54b1e4dfb650a93ba2f25890c5bc40dd6cef75366ca161be4e38283</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Correlation analysis</topic><topic>Cost of Illness</topic><topic>Death benefits</topic><topic>Death Certificates</topic><topic>Disability insurance</topic><topic>Female</topic><topic>Health insurance</topic><topic>Health Status</topic><topic>Humans</topic><topic>Insurance Claim Review</topic><topic>Insurance claims</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Quality-Adjusted Life Years</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kottke, Thomas E</creatorcontrib><creatorcontrib>Gallagher, Jason M</creatorcontrib><creatorcontrib>Lowry, Marcia</creatorcontrib><creatorcontrib>Patel, Pawan D</creatorcontrib><creatorcontrib>Rauri, Sachin</creatorcontrib><creatorcontrib>Tillema, Juliana O</creatorcontrib><creatorcontrib>Ziegenfuss, Jeanette Y</creatorcontrib><creatorcontrib>Pronk, Nicolaas P</creatorcontrib><creatorcontrib>Knudson, Susan M</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>The American journal of managed care</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kottke, Thomas E</au><au>Gallagher, Jason M</au><au>Lowry, Marcia</au><au>Patel, Pawan D</au><au>Rauri, Sachin</au><au>Tillema, Juliana O</au><au>Ziegenfuss, Jeanette Y</au><au>Pronk, Nicolaas P</au><au>Knudson, Susan M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Validating a method to assess disease burden from insurance claims</atitle><jtitle>The American journal of managed care</jtitle><addtitle>Am J Manag Care</addtitle><date>2019-02-01</date><risdate>2019</risdate><volume>25</volume><issue>2</issue><spage>e39</spage><epage>e44</epage><pages>e39-e44</pages><issn>1088-0224</issn><eissn>1936-2692</eissn><abstract>To validate a method that estimates disease burden as disability-adjusted life-years (DALYs) from insurance claims and death records for the purpose of identifying the conditions that place the greatest burden of disease on an insured population.
Comparison of the DALYs generated from death records and insurance claims with functional status and health status reported by individuals who were insured with one of HealthPartners' commercial products and completed a health assessment in 2011, 2012, or 2013.
We calculated values of Spearman's ρ, the rank-order coefficient of correlation, for the correlation of DALYs with self-reported function and self-reported health. We did the same for the number of medical conditions per member and the cost of claims per member.
The Spearman's ρ values for the correlation of DALYs with function were -0.241, -0.238, and -0.229 in 2011, 2012, and 2013, respectively (all P <.0001). The respective Spearman's ρ values for the correlation of DALYs with health were -0.197, -0.189, and -0.192 (all P <.0001). These Spearman's ρ values were similar in magnitude to those for the correlation of the number of medical conditions per member with function (-0.212, -0.213, and -0.205) and health (-0.199, -0.196, and -0.198) over the 3 years. The Spearman's ρ values for the correlation of DALYs with function and health were greater than or equal to those for the correlation of cost of claims per member with function (-0.144, -0.193, and -0.186) and greater than those for the cost of claims per member with health (-0.126, -0.150, and -0.151).
Health plans can use DALYs calculated from their own health insurance claims and death records as a valid and inexpensive method to identify the conditions that place the greatest burden of poor function and ill health on their insured populations.</abstract><cop>United States</cop><pub>MultiMedia Healthcare Inc</pub><pmid>30763042</pmid><doi>10.37765/ajmc.2019.87897</doi><oa>free_for_read</oa></addata></record> |
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| subjects | Adolescent Adult Aged Correlation analysis Cost of Illness Death benefits Death Certificates Disability insurance Female Health insurance Health Status Humans Insurance Claim Review Insurance claims Male Middle Aged Quality-Adjusted Life Years Young Adult |
| title | Validating a method to assess disease burden from insurance claims |
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