Agreement of Medicaid claims and electronic health records for assessing preventive care quality among adults
To compare the agreement of electronic health record (EHR) data versus Medicaid claims data in documenting adult preventive care. Insurance claims are commonly used to measure care quality. EHR data could serve this purpose, but little information exists about how this source compares in service doc...
Gespeichert in:
Veröffentlicht in: | Journal of the American Medical Informatics Association : JAMIA 2014-07, Vol.21 (4), p.720-724 |
---|---|
Hauptverfasser: | , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 724 |
---|---|
container_issue | 4 |
container_start_page | 720 |
container_title | Journal of the American Medical Informatics Association : JAMIA |
container_volume | 21 |
creator | Heintzman, John Bailey, Steffani R Hoopes, Megan J Le, Thuy Gold, Rachel O'Malley, Jean P Cowburn, Stuart Marino, Miguel Krist, Alex DeVoe, Jennifer E |
description | To compare the agreement of electronic health record (EHR) data versus Medicaid claims data in documenting adult preventive care. Insurance claims are commonly used to measure care quality. EHR data could serve this purpose, but little information exists about how this source compares in service documentation. For 13 101 Medicaid-insured adult patients attending 43 Oregon community health centers, we compared documentation of 11 preventive services, based on EHR versus Medicaid claims data. Documentation was comparable for most services. Agreement was highest for influenza vaccination (κ = 0.77; 95% CI 0.75 to 0.79), cholesterol screening (κ = 0.80; 95% CI 0.79 to 0.81), and cervical cancer screening (κ = 0.71; 95% CI 0.70 to 0.73), and lowest on services commonly referred out of primary care clinics and those that usually do not generate claims. EHRs show promise for use in quality reporting. Strategies to maximize data capture in EHRs are needed to optimize the use of EHR data for service documentation. |
doi_str_mv | 10.1136/amiajnl-2013-002333 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4078280</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1551637802</sourcerecordid><originalsourceid>FETCH-LOGICAL-c438t-6a3ddaf0481bedb5ecb4648e64153d3ed3641c73d0ee44a01b22d03a767d28da3</originalsourceid><addsrcrecordid>eNqFkcFrFTEQxhdRbK3-BYLk6GU1yWST7UUoxVah4sVCb2E2mX0vJbt5TXYf9L835T2LnjzNwHzzMd_8mua94J-EAP0Zp4D3c2wlF9ByLgHgRXMqOmnac6PuXtaea9N2XJqT5k0p95wLLaF73ZxI1fHeaHPaTBebTDTRvLA0sh_kg8PgmYsYpsJw9owiuSWnOTi2JYzLlmVyKfvCxpQZlkKlhHnDdpn21SbsiTnMxB5WjGF5ZDilOkW_xqW8bV6NGAu9O9az5vbq66_Lb-3Nz-vvlxc3rVPQL61G8B5HrnoxkB86coPSqietRAceyEPtnAHPiZRCLgYpPQesibzsPcJZ8-Xgu1uHibyrd2WMdpfDhPnRJgz238kctnaT9lZx08ueV4OPR4OcHlYqi51CcRQjzpTWYkXXCQ2mr1__vxSUMkrr8yqFg9TlVEqm8fkiwe0TU3tkap-Y2gPTuvXh7zDPO38gwm_1sqId</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1534474669</pqid></control><display><type>article</type><title>Agreement of Medicaid claims and electronic health records for assessing preventive care quality among adults</title><source>Oxford University Press Journals All Titles (1996-Current)</source><source>MEDLINE</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><creator>Heintzman, John ; Bailey, Steffani R ; Hoopes, Megan J ; Le, Thuy ; Gold, Rachel ; O'Malley, Jean P ; Cowburn, Stuart ; Marino, Miguel ; Krist, Alex ; DeVoe, Jennifer E</creator><creatorcontrib>Heintzman, John ; Bailey, Steffani R ; Hoopes, Megan J ; Le, Thuy ; Gold, Rachel ; O'Malley, Jean P ; Cowburn, Stuart ; Marino, Miguel ; Krist, Alex ; DeVoe, Jennifer E</creatorcontrib><description>To compare the agreement of electronic health record (EHR) data versus Medicaid claims data in documenting adult preventive care. Insurance claims are commonly used to measure care quality. EHR data could serve this purpose, but little information exists about how this source compares in service documentation. For 13 101 Medicaid-insured adult patients attending 43 Oregon community health centers, we compared documentation of 11 preventive services, based on EHR versus Medicaid claims data. Documentation was comparable for most services. Agreement was highest for influenza vaccination (κ = 0.77; 95% CI 0.75 to 0.79), cholesterol screening (κ = 0.80; 95% CI 0.79 to 0.81), and cervical cancer screening (κ = 0.71; 95% CI 0.70 to 0.73), and lowest on services commonly referred out of primary care clinics and those that usually do not generate claims. EHRs show promise for use in quality reporting. Strategies to maximize data capture in EHRs are needed to optimize the use of EHR data for service documentation.</description><identifier>ISSN: 1067-5027</identifier><identifier>EISSN: 1527-974X</identifier><identifier>DOI: 10.1136/amiajnl-2013-002333</identifier><identifier>PMID: 24508767</identifier><language>eng</language><publisher>England: BMJ Publishing Group</publisher><subject>Adult ; Brief Communication ; Electronic Health Records ; Humans ; Insurance Claim Review ; Medicaid - statistics & numerical data ; United States</subject><ispartof>Journal of the American Medical Informatics Association : JAMIA, 2014-07, Vol.21 (4), p.720-724</ispartof><rights>Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.</rights><rights>Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions 2014</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c438t-6a3ddaf0481bedb5ecb4648e64153d3ed3641c73d0ee44a01b22d03a767d28da3</citedby><cites>FETCH-LOGICAL-c438t-6a3ddaf0481bedb5ecb4648e64153d3ed3641c73d0ee44a01b22d03a767d28da3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4078280/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4078280/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,723,776,780,881,27903,27904,53769,53771</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24508767$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Heintzman, John</creatorcontrib><creatorcontrib>Bailey, Steffani R</creatorcontrib><creatorcontrib>Hoopes, Megan J</creatorcontrib><creatorcontrib>Le, Thuy</creatorcontrib><creatorcontrib>Gold, Rachel</creatorcontrib><creatorcontrib>O'Malley, Jean P</creatorcontrib><creatorcontrib>Cowburn, Stuart</creatorcontrib><creatorcontrib>Marino, Miguel</creatorcontrib><creatorcontrib>Krist, Alex</creatorcontrib><creatorcontrib>DeVoe, Jennifer E</creatorcontrib><title>Agreement of Medicaid claims and electronic health records for assessing preventive care quality among adults</title><title>Journal of the American Medical Informatics Association : JAMIA</title><addtitle>J Am Med Inform Assoc</addtitle><description>To compare the agreement of electronic health record (EHR) data versus Medicaid claims data in documenting adult preventive care. Insurance claims are commonly used to measure care quality. EHR data could serve this purpose, but little information exists about how this source compares in service documentation. For 13 101 Medicaid-insured adult patients attending 43 Oregon community health centers, we compared documentation of 11 preventive services, based on EHR versus Medicaid claims data. Documentation was comparable for most services. Agreement was highest for influenza vaccination (κ = 0.77; 95% CI 0.75 to 0.79), cholesterol screening (κ = 0.80; 95% CI 0.79 to 0.81), and cervical cancer screening (κ = 0.71; 95% CI 0.70 to 0.73), and lowest on services commonly referred out of primary care clinics and those that usually do not generate claims. EHRs show promise for use in quality reporting. Strategies to maximize data capture in EHRs are needed to optimize the use of EHR data for service documentation.</description><subject>Adult</subject><subject>Brief Communication</subject><subject>Electronic Health Records</subject><subject>Humans</subject><subject>Insurance Claim Review</subject><subject>Medicaid - statistics & numerical data</subject><subject>United States</subject><issn>1067-5027</issn><issn>1527-974X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkcFrFTEQxhdRbK3-BYLk6GU1yWST7UUoxVah4sVCb2E2mX0vJbt5TXYf9L835T2LnjzNwHzzMd_8mua94J-EAP0Zp4D3c2wlF9ByLgHgRXMqOmnac6PuXtaea9N2XJqT5k0p95wLLaF73ZxI1fHeaHPaTBebTDTRvLA0sh_kg8PgmYsYpsJw9owiuSWnOTi2JYzLlmVyKfvCxpQZlkKlhHnDdpn21SbsiTnMxB5WjGF5ZDilOkW_xqW8bV6NGAu9O9az5vbq66_Lb-3Nz-vvlxc3rVPQL61G8B5HrnoxkB86coPSqietRAceyEPtnAHPiZRCLgYpPQesibzsPcJZ8-Xgu1uHibyrd2WMdpfDhPnRJgz238kctnaT9lZx08ueV4OPR4OcHlYqi51CcRQjzpTWYkXXCQ2mr1__vxSUMkrr8yqFg9TlVEqm8fkiwe0TU3tkap-Y2gPTuvXh7zDPO38gwm_1sqId</recordid><startdate>20140701</startdate><enddate>20140701</enddate><creator>Heintzman, John</creator><creator>Bailey, Steffani R</creator><creator>Hoopes, Megan J</creator><creator>Le, Thuy</creator><creator>Gold, Rachel</creator><creator>O'Malley, Jean P</creator><creator>Cowburn, Stuart</creator><creator>Marino, Miguel</creator><creator>Krist, Alex</creator><creator>DeVoe, Jennifer E</creator><general>BMJ Publishing Group</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>7X8</scope><scope>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>5PM</scope></search><sort><creationdate>20140701</creationdate><title>Agreement of Medicaid claims and electronic health records for assessing preventive care quality among adults</title><author>Heintzman, John ; Bailey, Steffani R ; Hoopes, Megan J ; Le, Thuy ; Gold, Rachel ; O'Malley, Jean P ; Cowburn, Stuart ; Marino, Miguel ; Krist, Alex ; DeVoe, Jennifer E</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c438t-6a3ddaf0481bedb5ecb4648e64153d3ed3641c73d0ee44a01b22d03a767d28da3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adult</topic><topic>Brief Communication</topic><topic>Electronic Health Records</topic><topic>Humans</topic><topic>Insurance Claim Review</topic><topic>Medicaid - statistics & numerical data</topic><topic>United States</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Heintzman, John</creatorcontrib><creatorcontrib>Bailey, Steffani R</creatorcontrib><creatorcontrib>Hoopes, Megan J</creatorcontrib><creatorcontrib>Le, Thuy</creatorcontrib><creatorcontrib>Gold, Rachel</creatorcontrib><creatorcontrib>O'Malley, Jean P</creatorcontrib><creatorcontrib>Cowburn, Stuart</creatorcontrib><creatorcontrib>Marino, Miguel</creatorcontrib><creatorcontrib>Krist, Alex</creatorcontrib><creatorcontrib>DeVoe, Jennifer 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>MEDLINE - Academic</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of the American Medical Informatics Association : JAMIA</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Heintzman, John</au><au>Bailey, Steffani R</au><au>Hoopes, Megan J</au><au>Le, Thuy</au><au>Gold, Rachel</au><au>O'Malley, Jean P</au><au>Cowburn, Stuart</au><au>Marino, Miguel</au><au>Krist, Alex</au><au>DeVoe, Jennifer E</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Agreement of Medicaid claims and electronic health records for assessing preventive care quality among adults</atitle><jtitle>Journal of the American Medical Informatics Association : JAMIA</jtitle><addtitle>J Am Med Inform Assoc</addtitle><date>2014-07-01</date><risdate>2014</risdate><volume>21</volume><issue>4</issue><spage>720</spage><epage>724</epage><pages>720-724</pages><issn>1067-5027</issn><eissn>1527-974X</eissn><abstract>To compare the agreement of electronic health record (EHR) data versus Medicaid claims data in documenting adult preventive care. Insurance claims are commonly used to measure care quality. EHR data could serve this purpose, but little information exists about how this source compares in service documentation. For 13 101 Medicaid-insured adult patients attending 43 Oregon community health centers, we compared documentation of 11 preventive services, based on EHR versus Medicaid claims data. Documentation was comparable for most services. Agreement was highest for influenza vaccination (κ = 0.77; 95% CI 0.75 to 0.79), cholesterol screening (κ = 0.80; 95% CI 0.79 to 0.81), and cervical cancer screening (κ = 0.71; 95% CI 0.70 to 0.73), and lowest on services commonly referred out of primary care clinics and those that usually do not generate claims. EHRs show promise for use in quality reporting. Strategies to maximize data capture in EHRs are needed to optimize the use of EHR data for service documentation.</abstract><cop>England</cop><pub>BMJ Publishing Group</pub><pmid>24508767</pmid><doi>10.1136/amiajnl-2013-002333</doi><tpages>5</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1067-5027 |
ispartof | Journal of the American Medical Informatics Association : JAMIA, 2014-07, Vol.21 (4), p.720-724 |
issn | 1067-5027 1527-974X |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4078280 |
source | Oxford University Press Journals All Titles (1996-Current); MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central |
subjects | Adult Brief Communication Electronic Health Records Humans Insurance Claim Review Medicaid - statistics & numerical data United States |
title | Agreement of Medicaid claims and electronic health records for assessing preventive care quality among adults |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-27T03%3A38%3A46IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Agreement%20of%20Medicaid%20claims%20and%20electronic%20health%20records%20for%20assessing%20preventive%20care%20quality%20among%20adults&rft.jtitle=Journal%20of%20the%20American%20Medical%20Informatics%20Association%20:%20JAMIA&rft.au=Heintzman,%20John&rft.date=2014-07-01&rft.volume=21&rft.issue=4&rft.spage=720&rft.epage=724&rft.pages=720-724&rft.issn=1067-5027&rft.eissn=1527-974X&rft_id=info:doi/10.1136/amiajnl-2013-002333&rft_dat=%3Cproquest_pubme%3E1551637802%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1534474669&rft_id=info:pmid/24508767&rfr_iscdi=true |