The Patient-Centered Outcomes Research Network Antibiotics and Childhood Growth Study: Implementing Patient Data Linkage
PCORnet, the Patient-Centered Outcomes Research Network, is comprised of health systems and health plans that transform electronic health records (EHRs) and claims data to a common data model (CDM) to facilitate real-world clinical research. Because patients receive health care in multiple care deli...
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Veröffentlicht in: | Population health management 2020-12, Vol.23 (6), p.438-444 |
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creator | Canterberry, Melanie Kaul, Alan F. Goel, Satyender Lin, Pi-I Debby Block, Jason P. Nair, Vinit P. Ma, Qianli Carton, Thomas W. |
description | PCORnet, the Patient-Centered Outcomes Research Network, is comprised of health systems and health plans that transform electronic health records (EHRs) and claims data to a common data model (CDM) to facilitate real-world clinical research. Because patients receive health care in multiple care delivery settings, linking health records across systems and health plan claims would provide a more comprehensive and accurate picture of health care for patients. The current study expanded on a PCORnet Antibiotics and Childhood Growth (ABX) study to (1) identify and implement a privacy-preserving patient linkage solution among a clinical data research network and a health plan network within the ABX Study, and (2) assess overlap in prescribed and dispensed antibiotics and additional data gained from claims among the linked patients. This manuscript describes the linkage process and resulting overlap analysis. The authors identified 549 patients from the EHR record study cohort who had claims records with the health plan. Sixty percent (n = 329) of patients had consistent antibiotic exposure data across the 2 sources, indicating antibiotic exposure (44.3%) or nonexposure (15.7%). Among total antibiotic prescribing records, 43.1% had a matched claims record for dispensing within 60 days. Among antibiotic dispense records 26.5% were not associated with a prescribing record in the linked health systems. These findings showcase the feasibility of linking health plan claims data to PCORnet CDM in a privacy-preserving manner while also demonstrating continued gaps in data that may occur. The study highlights the importance of combining multiple health data sources for comprehensive clinical research. |
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Because patients receive health care in multiple care delivery settings, linking health records across systems and health plan claims would provide a more comprehensive and accurate picture of health care for patients. The current study expanded on a PCORnet Antibiotics and Childhood Growth (ABX) study to (1) identify and implement a privacy-preserving patient linkage solution among a clinical data research network and a health plan network within the ABX Study, and (2) assess overlap in prescribed and dispensed antibiotics and additional data gained from claims among the linked patients. This manuscript describes the linkage process and resulting overlap analysis. The authors identified 549 patients from the EHR record study cohort who had claims records with the health plan. Sixty percent (n = 329) of patients had consistent antibiotic exposure data across the 2 sources, indicating antibiotic exposure (44.3%) or nonexposure (15.7%). Among total antibiotic prescribing records, 43.1% had a matched claims record for dispensing within 60 days. Among antibiotic dispense records 26.5% were not associated with a prescribing record in the linked health systems. These findings showcase the feasibility of linking health plan claims data to PCORnet CDM in a privacy-preserving manner while also demonstrating continued gaps in data that may occur. The study highlights the importance of combining multiple health data sources for comprehensive clinical research.</description><identifier>ISSN: 1942-7891</identifier><identifier>ISSN: 1942-7905</identifier><identifier>EISSN: 1942-7905</identifier><identifier>DOI: 10.1089/pop.2019.0089</identifier><identifier>PMID: 31855123</identifier><language>eng</language><publisher>NEW ROCHELLE: Mary Ann Liebert, Inc., publishers</publisher><subject>Anti-Bacterial Agents - therapeutic use ; Child ; Cohort Studies ; Electronic Health Records ; Female ; Health Care Sciences & Services ; Humans ; Information Storage and Retrieval ; Life Sciences & Biomedicine ; Male ; Original Articles ; Patient Outcome Assessment ; Science & Technology</subject><ispartof>Population health management, 2020-12, Vol.23 (6), p.438-444</ispartof><rights>2020, Mary Ann Liebert, Inc., publishers</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>7</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000586318900001</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c431t-376200c82ddcca3f673aa08086766703a74826543c473189d3c1a29af6455ed43</citedby><cites>FETCH-LOGICAL-c431t-376200c82ddcca3f673aa08086766703a74826543c473189d3c1a29af6455ed43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,315,781,785,886,27929,27930,28253</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31855123$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Canterberry, Melanie</creatorcontrib><creatorcontrib>Kaul, Alan F.</creatorcontrib><creatorcontrib>Goel, Satyender</creatorcontrib><creatorcontrib>Lin, Pi-I Debby</creatorcontrib><creatorcontrib>Block, Jason P.</creatorcontrib><creatorcontrib>Nair, Vinit P.</creatorcontrib><creatorcontrib>Ma, Qianli</creatorcontrib><creatorcontrib>Carton, Thomas W.</creatorcontrib><title>The Patient-Centered Outcomes Research Network Antibiotics and Childhood Growth Study: Implementing Patient Data Linkage</title><title>Population health management</title><addtitle>POPUL HEALTH MANAG</addtitle><addtitle>Popul Health Manag</addtitle><description>PCORnet, the Patient-Centered Outcomes Research Network, is comprised of health systems and health plans that transform electronic health records (EHRs) and claims data to a common data model (CDM) to facilitate real-world clinical research. Because patients receive health care in multiple care delivery settings, linking health records across systems and health plan claims would provide a more comprehensive and accurate picture of health care for patients. The current study expanded on a PCORnet Antibiotics and Childhood Growth (ABX) study to (1) identify and implement a privacy-preserving patient linkage solution among a clinical data research network and a health plan network within the ABX Study, and (2) assess overlap in prescribed and dispensed antibiotics and additional data gained from claims among the linked patients. This manuscript describes the linkage process and resulting overlap analysis. The authors identified 549 patients from the EHR record study cohort who had claims records with the health plan. Sixty percent (n = 329) of patients had consistent antibiotic exposure data across the 2 sources, indicating antibiotic exposure (44.3%) or nonexposure (15.7%). Among total antibiotic prescribing records, 43.1% had a matched claims record for dispensing within 60 days. Among antibiotic dispense records 26.5% were not associated with a prescribing record in the linked health systems. These findings showcase the feasibility of linking health plan claims data to PCORnet CDM in a privacy-preserving manner while also demonstrating continued gaps in data that may occur. The study highlights the importance of combining multiple health data sources for comprehensive clinical research.</description><subject>Anti-Bacterial Agents - therapeutic use</subject><subject>Child</subject><subject>Cohort Studies</subject><subject>Electronic Health Records</subject><subject>Female</subject><subject>Health Care Sciences & Services</subject><subject>Humans</subject><subject>Information Storage and Retrieval</subject><subject>Life Sciences & Biomedicine</subject><subject>Male</subject><subject>Original Articles</subject><subject>Patient Outcome Assessment</subject><subject>Science & Technology</subject><issn>1942-7891</issn><issn>1942-7905</issn><issn>1942-7905</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>AOWDO</sourceid><sourceid>EIF</sourceid><recordid>eNqNkUtv1DAUhSMEog9YskVeIqEMfiSOwwKpCqVUGlEEZW15nJuJaWIH22Hov8fRdEawgo0fut8993Gy7AXBK4JF_WZy04piUq9w-j3KTkld0Lyqcfn48BY1OcnOQviOMS84Lp9mJ4yIsiSUnWa_bntAn1U0YGPepAM8tOhmjtqNENAXCKC87tEniDvn79CFjWZjXDQ6IGVb1PRmaHvnWnTl3S726Guc2_u36HqcBhiTnrHbgz56r6JCa2Pv1BaeZU86NQR4_nCfZ98-XN42H_P1zdV1c7HOdcFIzFnFKcZa0LbVWrGOV0wpLLDgFecVZqoqBOVlwXRRpanqlmmiaK06XpQltAU7z97tdad5M0KrUx9eDXLyZlT-Xjpl5N8Ra3q5dT9lxeqqoHUSePUg4N2PGUKUowkahkFZcHOQlFFR1akcTWi-R7V3IXjojmUIlotbMrklF7fk4lbiX_7Z25E-2JMAsQd2sHFd0GmLGo4YxrgUfJk6vTBpTEx7drZxs40p9fX_pyaa7eklqqwdDGzAx3_0_xuQ9sQP</recordid><startdate>20201201</startdate><enddate>20201201</enddate><creator>Canterberry, Melanie</creator><creator>Kaul, Alan F.</creator><creator>Goel, Satyender</creator><creator>Lin, Pi-I Debby</creator><creator>Block, Jason P.</creator><creator>Nair, Vinit P.</creator><creator>Ma, Qianli</creator><creator>Carton, Thomas W.</creator><general>Mary Ann Liebert, Inc., publishers</general><general>Mary Ann Liebert, Inc</general><scope>AOWDO</scope><scope>BLEPL</scope><scope>DTL</scope><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>5PM</scope></search><sort><creationdate>20201201</creationdate><title>The Patient-Centered Outcomes Research Network Antibiotics and Childhood Growth Study: Implementing Patient Data Linkage</title><author>Canterberry, Melanie ; 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Among total antibiotic prescribing records, 43.1% had a matched claims record for dispensing within 60 days. Among antibiotic dispense records 26.5% were not associated with a prescribing record in the linked health systems. These findings showcase the feasibility of linking health plan claims data to PCORnet CDM in a privacy-preserving manner while also demonstrating continued gaps in data that may occur. The study highlights the importance of combining multiple health data sources for comprehensive clinical research.</abstract><cop>NEW ROCHELLE</cop><pub>Mary Ann Liebert, Inc., publishers</pub><pmid>31855123</pmid><doi>10.1089/pop.2019.0089</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Anti-Bacterial Agents - therapeutic use Child Cohort Studies Electronic Health Records Female Health Care Sciences & Services Humans Information Storage and Retrieval Life Sciences & Biomedicine Male Original Articles Patient Outcome Assessment Science & Technology |
title | The Patient-Centered Outcomes Research Network Antibiotics and Childhood Growth Study: Implementing Patient Data Linkage |
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