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The Kaiser Permanente Northern California Adult Alcohol Registry, an Electronic Health Records-Based Registry of Patients With Alcohol Problems: Development and Implementation
Background: Electronic health record (EHR)–based disease registries have aided health care professionals and researchers in increasing their understanding of chronic illnesses, including identifying patients with (or at risk of developing) conditions and tracking treatment progress and recovery. Des...
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Published in: | JMIR medical informatics 2020-07, Vol.8 (7), p.e19081-e19081 |
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description | Background: Electronic health record (EHR)–based disease registries have aided health care professionals and researchers in increasing their understanding of chronic illnesses, including identifying patients with (or at risk of developing) conditions and tracking treatment progress and recovery. Despite excessive alcohol use being a major contributor to the global burden of disease and disability, no registries of alcohol problems exist. EHR-based data in Kaiser Permanente Northern California (KPNC), an integrated health system that conducts systematic alcohol screening, which provides specialty addiction medicine treatment internally and has a membership of over 4 million members that are highly representative of the US population with access to care, provide a unique opportunity to develop such a registry. Objective: Our objectives were to describe the development and implementation of a protocol for assembling the KPNC Adult Alcohol Registry, which may be useful to other researchers and health systems, and to characterize the registry cohort descriptively, including underlying health conditions. Methods: Inclusion criteria were adult members with unhealthy alcohol use (using National Institute on Alcohol Abuse and Alcoholism guidelines), an alcohol use disorder (AUD) diagnosis, or an alcohol-related health problem between June 1, 2013, and May 31, 2019. We extracted patients’ longitudinal, multidimensional EHR data from 1 year before their date of eligibility through May 31, 2019, and conducted descriptive analyses. Results: We identified 723,604 adult patients who met the registry inclusion criteria at any time during the study period: 631,780 with unhealthy alcohol use, 143,690 with an AUD diagnosis, and 18,985 with an alcohol-related health problem. We identified 65,064 patients who met two or more criteria. Of the 4,973,195 adult patients with at least one encounter with the health system during the study period, the prevalence of unhealthy alcohol use was 13% (631,780/4,973,195), the prevalence of AUD diagnoses was 3% (143,690/4,973,195), and the prevalence of alcohol-related health problems was 0.4% (18,985/4,973,195). The registry cohort was 60% male (n=432,847) and 41% non-White (n=295,998) and had a median age of 41 years (IQR=27). About 48% (n=346,408) had a chronic medical condition, 18% (n=130,031) had a mental health condition, and 4% (n=30,429) had a drug use disorder diagnosis. Conclusions: We demonstrated that EHR-based data collected du |
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Despite excessive alcohol use being a major contributor to the global burden of disease and disability, no registries of alcohol problems exist. EHR-based data in Kaiser Permanente Northern California (KPNC), an integrated health system that conducts systematic alcohol screening, which provides specialty addiction medicine treatment internally and has a membership of over 4 million members that are highly representative of the US population with access to care, provide a unique opportunity to develop such a registry. Objective: Our objectives were to describe the development and implementation of a protocol for assembling the KPNC Adult Alcohol Registry, which may be useful to other researchers and health systems, and to characterize the registry cohort descriptively, including underlying health conditions. Methods: Inclusion criteria were adult members with unhealthy alcohol use (using National Institute on Alcohol Abuse and Alcoholism guidelines), an alcohol use disorder (AUD) diagnosis, or an alcohol-related health problem between June 1, 2013, and May 31, 2019. We extracted patients’ longitudinal, multidimensional EHR data from 1 year before their date of eligibility through May 31, 2019, and conducted descriptive analyses. Results: We identified 723,604 adult patients who met the registry inclusion criteria at any time during the study period: 631,780 with unhealthy alcohol use, 143,690 with an AUD diagnosis, and 18,985 with an alcohol-related health problem. We identified 65,064 patients who met two or more criteria. Of the 4,973,195 adult patients with at least one encounter with the health system during the study period, the prevalence of unhealthy alcohol use was 13% (631,780/4,973,195), the prevalence of AUD diagnoses was 3% (143,690/4,973,195), and the prevalence of alcohol-related health problems was 0.4% (18,985/4,973,195). The registry cohort was 60% male (n=432,847) and 41% non-White (n=295,998) and had a median age of 41 years (IQR=27). About 48% (n=346,408) had a chronic medical condition, 18% (n=130,031) had a mental health condition, and 4% (n=30,429) had a drug use disorder diagnosis. Conclusions: We demonstrated that EHR-based data collected during clinical care within an integrated health system could be leveraged to develop a registry of patients with alcohol problems that is flexible and can be easily updated. The registry’s comprehensive patient-level data over multiyear periods provides a strong foundation for robust research addressing critical public health questions related to the full course and spectrum of alcohol problems, including recovery, which would complement other methods used in alcohol research (eg, population-based surveys, clinical trials).</description><identifier>ISSN: 2291-9694</identifier><identifier>EISSN: 2291-9694</identifier><identifier>DOI: 10.2196/19081</identifier><identifier>PMID: 32706676</identifier><language>eng</language><publisher>Toronto: JMIR Publications</publisher><subject>Addictions ; Age ; Alcohol abuse ; Alcohol use ; Alcoholism ; Diabetes ; Disease ; Electronic health records ; Health care access ; Health care policy ; Health insurance ; Original Paper ; Patients ; Primary care ; Psychiatry ; Womens health</subject><ispartof>JMIR medical informatics, 2020-07, Vol.8 (7), p.e19081-e19081</ispartof><rights>2020. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Vanessa A Palzes, Constance Weisner, Felicia W Chi, Andrea H Kline-Simon, Derek D Satre, Matthew E Hirschtritt, Murtuza Ghadiali, Stacy Sterling. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 22.07.2020. 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c434t-9da63a5bf732449e44f7e681483e1b964837aceee4cf78b86d835a738577e2eb3</citedby><cites>FETCH-LOGICAL-c434t-9da63a5bf732449e44f7e681483e1b964837aceee4cf78b86d835a738577e2eb3</cites><orcidid>0000-0002-3256-579X ; 0000-0001-8191-9622 ; 0000-0001-7578-8793 ; 0000-0002-6303-7308 ; 0000-0002-3972-153X ; 0000-0002-4228-1504 ; 0000-0002-6987-8423 ; 0000-0001-8654-1825</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2511969001/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2511969001?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,25732,27903,27904,36991,36992,44569,53770,74873</link.rule.ids></links><search><creatorcontrib>Palzes, Vanessa A</creatorcontrib><creatorcontrib>Weisner, Constance</creatorcontrib><creatorcontrib>Chi, Felicia W</creatorcontrib><creatorcontrib>Kline-Simon, Andrea H</creatorcontrib><creatorcontrib>Satre, Derek D</creatorcontrib><creatorcontrib>Hirschtritt, Matthew E</creatorcontrib><creatorcontrib>Ghadiali, Murtuza</creatorcontrib><creatorcontrib>Sterling, Stacy</creatorcontrib><title>The Kaiser Permanente Northern California Adult Alcohol Registry, an Electronic Health Records-Based Registry of Patients With Alcohol Problems: Development and Implementation</title><title>JMIR medical informatics</title><description>Background: Electronic health record (EHR)–based disease registries have aided health care professionals and researchers in increasing their understanding of chronic illnesses, including identifying patients with (or at risk of developing) conditions and tracking treatment progress and recovery. Despite excessive alcohol use being a major contributor to the global burden of disease and disability, no registries of alcohol problems exist. EHR-based data in Kaiser Permanente Northern California (KPNC), an integrated health system that conducts systematic alcohol screening, which provides specialty addiction medicine treatment internally and has a membership of over 4 million members that are highly representative of the US population with access to care, provide a unique opportunity to develop such a registry. Objective: Our objectives were to describe the development and implementation of a protocol for assembling the KPNC Adult Alcohol Registry, which may be useful to other researchers and health systems, and to characterize the registry cohort descriptively, including underlying health conditions. Methods: Inclusion criteria were adult members with unhealthy alcohol use (using National Institute on Alcohol Abuse and Alcoholism guidelines), an alcohol use disorder (AUD) diagnosis, or an alcohol-related health problem between June 1, 2013, and May 31, 2019. We extracted patients’ longitudinal, multidimensional EHR data from 1 year before their date of eligibility through May 31, 2019, and conducted descriptive analyses. Results: We identified 723,604 adult patients who met the registry inclusion criteria at any time during the study period: 631,780 with unhealthy alcohol use, 143,690 with an AUD diagnosis, and 18,985 with an alcohol-related health problem. We identified 65,064 patients who met two or more criteria. Of the 4,973,195 adult patients with at least one encounter with the health system during the study period, the prevalence of unhealthy alcohol use was 13% (631,780/4,973,195), the prevalence of AUD diagnoses was 3% (143,690/4,973,195), and the prevalence of alcohol-related health problems was 0.4% (18,985/4,973,195). The registry cohort was 60% male (n=432,847) and 41% non-White (n=295,998) and had a median age of 41 years (IQR=27). About 48% (n=346,408) had a chronic medical condition, 18% (n=130,031) had a mental health condition, and 4% (n=30,429) had a drug use disorder diagnosis. Conclusions: We demonstrated that EHR-based data collected during clinical care within an integrated health system could be leveraged to develop a registry of patients with alcohol problems that is flexible and can be easily updated. The registry’s comprehensive patient-level data over multiyear periods provides a strong foundation for robust research addressing critical public health questions related to the full course and spectrum of alcohol problems, including recovery, which would complement other methods used in alcohol research (eg, population-based surveys, clinical trials).</description><subject>Addictions</subject><subject>Age</subject><subject>Alcohol abuse</subject><subject>Alcohol use</subject><subject>Alcoholism</subject><subject>Diabetes</subject><subject>Disease</subject><subject>Electronic health records</subject><subject>Health care access</subject><subject>Health care policy</subject><subject>Health insurance</subject><subject>Original Paper</subject><subject>Patients</subject><subject>Primary care</subject><subject>Psychiatry</subject><subject>Womens health</subject><issn>2291-9694</issn><issn>2291-9694</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpdkttuEzEURUcIRKuSf7CEkHggML6MLzwglVBoRAURKuLROuM5kzjyjFN7UqlfxS_iNqWiPJ1j7-3l266qGa3fMmrkO2pqTZ9Ux4wZOjfSiKf_9EfVLOdtXddUUCmlel4dcabq0snj6vflBslX8BkTWWEaYMRxQvItpmmDaSQLCL6PafRATrt9mMhpcHETA_mBa5-ndPOGwEjOAropxdE7co4Qpk2RXUxdnn-EjN2DmcSerGDyZY9Mfvni-4tbpdgGHPJ78gmvMcTdUDwF3ZHlsCtCGZV1cXxRPeshZJzd15Pq5-ezy8X5_OL7l-Xi9GLuBBfT3HQgOTRtrzgTwqAQvUKpqdAcaWtkqQocIgrXK91q2WnegOK6UQoZtvykWh64XYSt3SU_QLqxEby9m4hpbSFN3gW0ilLaUMZl29SiBqZbMFQD7UG3baN5YX04sHb7dsDOlbskCI-gj5XRb-w6XlslasXELeD1PSDFqz3myQ4-Owyh_FbcZ8sEU8woqU2xvvzPuo37NJansqyhJSum5KC4Xh1cLsWcE_YPh6G1vU2UvUsU_wPSUb1D</recordid><startdate>20200701</startdate><enddate>20200701</enddate><creator>Palzes, Vanessa A</creator><creator>Weisner, Constance</creator><creator>Chi, Felicia W</creator><creator>Kline-Simon, Andrea H</creator><creator>Satre, Derek D</creator><creator>Hirschtritt, Matthew E</creator><creator>Ghadiali, Murtuza</creator><creator>Sterling, Stacy</creator><general>JMIR Publications</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88C</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M0T</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-3256-579X</orcidid><orcidid>https://orcid.org/0000-0001-8191-9622</orcidid><orcidid>https://orcid.org/0000-0001-7578-8793</orcidid><orcidid>https://orcid.org/0000-0002-6303-7308</orcidid><orcidid>https://orcid.org/0000-0002-3972-153X</orcidid><orcidid>https://orcid.org/0000-0002-4228-1504</orcidid><orcidid>https://orcid.org/0000-0002-6987-8423</orcidid><orcidid>https://orcid.org/0000-0001-8654-1825</orcidid></search><sort><creationdate>20200701</creationdate><title>The Kaiser Permanente Northern California Adult Alcohol Registry, an Electronic Health Records-Based Registry of Patients With Alcohol Problems: Development and Implementation</title><author>Palzes, Vanessa A ; Weisner, Constance ; Chi, Felicia W ; Kline-Simon, Andrea H ; Satre, Derek D ; Hirschtritt, Matthew E ; Ghadiali, Murtuza ; Sterling, Stacy</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c434t-9da63a5bf732449e44f7e681483e1b964837aceee4cf78b86d835a738577e2eb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Addictions</topic><topic>Age</topic><topic>Alcohol abuse</topic><topic>Alcohol use</topic><topic>Alcoholism</topic><topic>Diabetes</topic><topic>Disease</topic><topic>Electronic health records</topic><topic>Health care access</topic><topic>Health care policy</topic><topic>Health insurance</topic><topic>Original Paper</topic><topic>Patients</topic><topic>Primary care</topic><topic>Psychiatry</topic><topic>Womens health</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Palzes, Vanessa A</creatorcontrib><creatorcontrib>Weisner, Constance</creatorcontrib><creatorcontrib>Chi, Felicia W</creatorcontrib><creatorcontrib>Kline-Simon, Andrea H</creatorcontrib><creatorcontrib>Satre, Derek D</creatorcontrib><creatorcontrib>Hirschtritt, Matthew E</creatorcontrib><creatorcontrib>Ghadiali, Murtuza</creatorcontrib><creatorcontrib>Sterling, Stacy</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health Medical collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Healthcare Administration Database (Alumni)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>ProQuest Healthcare Administration Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Directory of Open Access Journals</collection><jtitle>JMIR medical informatics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Palzes, Vanessa A</au><au>Weisner, Constance</au><au>Chi, Felicia W</au><au>Kline-Simon, Andrea H</au><au>Satre, Derek D</au><au>Hirschtritt, Matthew E</au><au>Ghadiali, Murtuza</au><au>Sterling, Stacy</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Kaiser Permanente Northern California Adult Alcohol Registry, an Electronic Health Records-Based Registry of Patients With Alcohol Problems: Development and Implementation</atitle><jtitle>JMIR medical informatics</jtitle><date>2020-07-01</date><risdate>2020</risdate><volume>8</volume><issue>7</issue><spage>e19081</spage><epage>e19081</epage><pages>e19081-e19081</pages><issn>2291-9694</issn><eissn>2291-9694</eissn><abstract>Background: Electronic health record (EHR)–based disease registries have aided health care professionals and researchers in increasing their understanding of chronic illnesses, including identifying patients with (or at risk of developing) conditions and tracking treatment progress and recovery. Despite excessive alcohol use being a major contributor to the global burden of disease and disability, no registries of alcohol problems exist. EHR-based data in Kaiser Permanente Northern California (KPNC), an integrated health system that conducts systematic alcohol screening, which provides specialty addiction medicine treatment internally and has a membership of over 4 million members that are highly representative of the US population with access to care, provide a unique opportunity to develop such a registry. Objective: Our objectives were to describe the development and implementation of a protocol for assembling the KPNC Adult Alcohol Registry, which may be useful to other researchers and health systems, and to characterize the registry cohort descriptively, including underlying health conditions. Methods: Inclusion criteria were adult members with unhealthy alcohol use (using National Institute on Alcohol Abuse and Alcoholism guidelines), an alcohol use disorder (AUD) diagnosis, or an alcohol-related health problem between June 1, 2013, and May 31, 2019. We extracted patients’ longitudinal, multidimensional EHR data from 1 year before their date of eligibility through May 31, 2019, and conducted descriptive analyses. Results: We identified 723,604 adult patients who met the registry inclusion criteria at any time during the study period: 631,780 with unhealthy alcohol use, 143,690 with an AUD diagnosis, and 18,985 with an alcohol-related health problem. We identified 65,064 patients who met two or more criteria. Of the 4,973,195 adult patients with at least one encounter with the health system during the study period, the prevalence of unhealthy alcohol use was 13% (631,780/4,973,195), the prevalence of AUD diagnoses was 3% (143,690/4,973,195), and the prevalence of alcohol-related health problems was 0.4% (18,985/4,973,195). The registry cohort was 60% male (n=432,847) and 41% non-White (n=295,998) and had a median age of 41 years (IQR=27). About 48% (n=346,408) had a chronic medical condition, 18% (n=130,031) had a mental health condition, and 4% (n=30,429) had a drug use disorder diagnosis. Conclusions: We demonstrated that EHR-based data collected during clinical care within an integrated health system could be leveraged to develop a registry of patients with alcohol problems that is flexible and can be easily updated. The registry’s comprehensive patient-level data over multiyear periods provides a strong foundation for robust research addressing critical public health questions related to the full course and spectrum of alcohol problems, including recovery, which would complement other methods used in alcohol research (eg, population-based surveys, clinical trials).</abstract><cop>Toronto</cop><pub>JMIR Publications</pub><pmid>32706676</pmid><doi>10.2196/19081</doi><orcidid>https://orcid.org/0000-0002-3256-579X</orcidid><orcidid>https://orcid.org/0000-0001-8191-9622</orcidid><orcidid>https://orcid.org/0000-0001-7578-8793</orcidid><orcidid>https://orcid.org/0000-0002-6303-7308</orcidid><orcidid>https://orcid.org/0000-0002-3972-153X</orcidid><orcidid>https://orcid.org/0000-0002-4228-1504</orcidid><orcidid>https://orcid.org/0000-0002-6987-8423</orcidid><orcidid>https://orcid.org/0000-0001-8654-1825</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Addictions Age Alcohol abuse Alcohol use Alcoholism Diabetes Disease Electronic health records Health care access Health care policy Health insurance Original Paper Patients Primary care Psychiatry Womens health |
title | The Kaiser Permanente Northern California Adult Alcohol Registry, an Electronic Health Records-Based Registry of Patients With Alcohol Problems: Development and Implementation |
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