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Factors associated with opioid overdose: a 10-year retrospective study of patients in a large integrated health care system
Opioid overdoses (ODs) have been increasing, and harm reduction efforts are a priority. The success of these efforts will be dependent on the identification of at-risk patients and improved access to the antidote naloxone. Therefore, to identify access to naloxone and factors associated with negativ...
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Published in: | Substance abuse and rehabilitation 2016-01, Vol.7, p.131-141 |
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description | Opioid overdoses (ODs) have been increasing, and harm reduction efforts are a priority. The success of these efforts will be dependent on the identification of at-risk patients and improved access to the antidote naloxone. Therefore, to identify access to naloxone and factors associated with negative health outcomes, we conducted a retrospective study of patients with OD to identify those at highest risk of adverse outcomes and to assess the use of naloxone.
We conducted a study of electronic health records for patients admitted to the largest multihospital system in the region - the Geisinger Health System (GHS) for ODs - from April 2005 through March 2015. ODs were defined by International Classification of Diseases-9 codes (age range: 10-95 years). Bivariate analyses and multiple logistic regressions were conducted to identify pre-OD factors associated with adverse health outcomes post-OD.
We identified 2,039 patients with one or more ODs, of whom 9.4% were deceased within 12 months. Patient demographics suggest that patients with OD had a mean age of 52 years, were not married (64%), and were unemployed (78%). Common comorbidities among patients with OD include cardiovascular disease (22%), diabetes (14%), cancer (13%), and the presence of one or more mental health disorders (35%). Few patients had a prescription order for naloxone (9%) after their OD. The majority of patients with OD were in proximity to GHS health care facilities, with 87% having a GHS primary care provider. In multiple logistic regressions, common predictors of adverse outcomes, including death, repeated ODs, frequent service use, and high service cost, were higher prescription opioid use, comorbid medical conditions, comorbid mental disorders, and concurrent use of other psychotropic medications.
This study suggests opportunities for improving OD outcomes. Those who receive higher quantities of prescription opioids concurrent with other psychotropic medicines may need closer monitoring to avoid death, repeated OD events, higher service use, and higher service costs. Other opportunities for improving OD outcomes include the use of electronic health records to notify physicians of high-risk patients and updating of guidelines/operation manuals focused on the distribution of naloxone to those in highest need. |
doi_str_mv | 10.2147/SAR.S108302 |
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We conducted a study of electronic health records for patients admitted to the largest multihospital system in the region - the Geisinger Health System (GHS) for ODs - from April 2005 through March 2015. ODs were defined by International Classification of Diseases-9 codes (age range: 10-95 years). Bivariate analyses and multiple logistic regressions were conducted to identify pre-OD factors associated with adverse health outcomes post-OD.
We identified 2,039 patients with one or more ODs, of whom 9.4% were deceased within 12 months. Patient demographics suggest that patients with OD had a mean age of 52 years, were not married (64%), and were unemployed (78%). Common comorbidities among patients with OD include cardiovascular disease (22%), diabetes (14%), cancer (13%), and the presence of one or more mental health disorders (35%). Few patients had a prescription order for naloxone (9%) after their OD. The majority of patients with OD were in proximity to GHS health care facilities, with 87% having a GHS primary care provider. In multiple logistic regressions, common predictors of adverse outcomes, including death, repeated ODs, frequent service use, and high service cost, were higher prescription opioid use, comorbid medical conditions, comorbid mental disorders, and concurrent use of other psychotropic medications.
This study suggests opportunities for improving OD outcomes. Those who receive higher quantities of prescription opioids concurrent with other psychotropic medicines may need closer monitoring to avoid death, repeated OD events, higher service use, and higher service costs. Other opportunities for improving OD outcomes include the use of electronic health records to notify physicians of high-risk patients and updating of guidelines/operation manuals focused on the distribution of naloxone to those in highest need.</description><identifier>ISSN: 1179-8467</identifier><identifier>EISSN: 1179-8467</identifier><identifier>DOI: 10.2147/SAR.S108302</identifier><identifier>PMID: 27695382</identifier><language>eng</language><publisher>New Zealand: Dove Medical Press Limited</publisher><subject>Analysis ; Asthma ; Back pain ; Chronic illnesses ; Codes ; Comorbidity ; Complications and side effects ; Drug abuse ; Drug overdose ; Electronic health records ; Emergency medical care ; healthcare access ; healthcare costs ; Hospitals ; Medical care ; Medical research ; Mental health ; Mortality ; naloxone ; Narcotics ; Opioid abuse ; opioids ; Original Research ; overdose antidote ; Patients ; Physicians ; Prescription drugs ; Primary care ; Risk factors ; services utilization ; Substance abuse treatment</subject><ispartof>Substance abuse and rehabilitation, 2016-01, Vol.7, p.131-141</ispartof><rights>COPYRIGHT 2016 Dove Medical Press Limited</rights><rights>2016. This work is licensed under https://creativecommons.org/licenses/by-nc/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2016 Boscarino et al. This work is published and licensed by Dove Medical Press Limited 2016</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c503t-4c46508b0df0df1a361a5ed9b7a3c07cab95f482d7541514591699268d244ece3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2228636805/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2228636805?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,724,777,781,882,25734,27905,27906,36993,36994,44571,53772,53774,74875</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27695382$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Boscarino, Joseph A</creatorcontrib><creatorcontrib>Kirchner, H Lester</creatorcontrib><creatorcontrib>Pitcavage, James M</creatorcontrib><creatorcontrib>Nadipelli, Vijay R</creatorcontrib><creatorcontrib>Ronquest, Naoko A</creatorcontrib><creatorcontrib>Fitzpatrick, Michael H</creatorcontrib><creatorcontrib>Han, John J</creatorcontrib><title>Factors associated with opioid overdose: a 10-year retrospective study of patients in a large integrated health care system</title><title>Substance abuse and rehabilitation</title><addtitle>Subst Abuse Rehabil</addtitle><description>Opioid overdoses (ODs) have been increasing, and harm reduction efforts are a priority. The success of these efforts will be dependent on the identification of at-risk patients and improved access to the antidote naloxone. Therefore, to identify access to naloxone and factors associated with negative health outcomes, we conducted a retrospective study of patients with OD to identify those at highest risk of adverse outcomes and to assess the use of naloxone.
We conducted a study of electronic health records for patients admitted to the largest multihospital system in the region - the Geisinger Health System (GHS) for ODs - from April 2005 through March 2015. ODs were defined by International Classification of Diseases-9 codes (age range: 10-95 years). Bivariate analyses and multiple logistic regressions were conducted to identify pre-OD factors associated with adverse health outcomes post-OD.
We identified 2,039 patients with one or more ODs, of whom 9.4% were deceased within 12 months. Patient demographics suggest that patients with OD had a mean age of 52 years, were not married (64%), and were unemployed (78%). Common comorbidities among patients with OD include cardiovascular disease (22%), diabetes (14%), cancer (13%), and the presence of one or more mental health disorders (35%). Few patients had a prescription order for naloxone (9%) after their OD. The majority of patients with OD were in proximity to GHS health care facilities, with 87% having a GHS primary care provider. In multiple logistic regressions, common predictors of adverse outcomes, including death, repeated ODs, frequent service use, and high service cost, were higher prescription opioid use, comorbid medical conditions, comorbid mental disorders, and concurrent use of other psychotropic medications.
This study suggests opportunities for improving OD outcomes. Those who receive higher quantities of prescription opioids concurrent with other psychotropic medicines may need closer monitoring to avoid death, repeated OD events, higher service use, and higher service costs. Other opportunities for improving OD outcomes include the use of electronic health records to notify physicians of high-risk patients and updating of guidelines/operation manuals focused on the distribution of naloxone to those in highest need.</description><subject>Analysis</subject><subject>Asthma</subject><subject>Back pain</subject><subject>Chronic illnesses</subject><subject>Codes</subject><subject>Comorbidity</subject><subject>Complications and side effects</subject><subject>Drug abuse</subject><subject>Drug overdose</subject><subject>Electronic health records</subject><subject>Emergency medical care</subject><subject>healthcare access</subject><subject>healthcare costs</subject><subject>Hospitals</subject><subject>Medical care</subject><subject>Medical research</subject><subject>Mental health</subject><subject>Mortality</subject><subject>naloxone</subject><subject>Narcotics</subject><subject>Opioid abuse</subject><subject>opioids</subject><subject>Original Research</subject><subject>overdose antidote</subject><subject>Patients</subject><subject>Physicians</subject><subject>Prescription drugs</subject><subject>Primary care</subject><subject>Risk factors</subject><subject>services utilization</subject><subject>Substance abuse treatment</subject><issn>1179-8467</issn><issn>1179-8467</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptkl2LEzEUhgdR3KXulfcyIIggrfmeiRcLZXF1YUFw9TqcJmfalOmkJmml-OdNt3XdikkgX895wzl5q-olJRNGRfP-bvp1ckdJywl7Up1T2uhxK1Tz9NH6rLpIaUlKE7ptmXpenbFGaclbdl79ugabQ0w1pBSsh4yu_unzog5rH7yrwxajCwk_1FBTMt4hxDpijiGt0Wa_xTrljdvVoavXkD0OOdV-KHAPcY5lmXEe71UXCH3RtRBLzC5lXL2onnXQJ7w4zqPq-_XHb1efx7dfPt1cTW_HVhKex8IKJUk7I64rgwJXFCQ6PWuAW9JYmGnZiZa5RgoqqZCaKq2Zah0TAi3yUXVz0HUBlmYd_QrizgTw5v4gxLmBmL3t0WgL3FFinW4a0UilHceu7Geq67TqoGhdHrTWm9kKnS0JR-hPRE9vBr8w87A1JRW-_6dR9fYoEMOPDaZsVj5Z7HsYMGySoS2XvCFEioK-_gddhk0cSqkMY6xVXLVE_qXmUBLwQxfKu3YvaqblUaYlEapQk_9QpTtceRsG7Hw5Pwl48yjg8Hkp9Jvsw5BOwXcH0BZTpIjdQzEoMXuPmuJRc_RooV89rt8D-8eR_Dckw-A5</recordid><startdate>20160101</startdate><enddate>20160101</enddate><creator>Boscarino, Joseph A</creator><creator>Kirchner, H Lester</creator><creator>Pitcavage, James M</creator><creator>Nadipelli, Vijay R</creator><creator>Ronquest, Naoko A</creator><creator>Fitzpatrick, Michael H</creator><creator>Han, John J</creator><general>Dove Medical Press Limited</general><general>Taylor & Francis Ltd</general><general>Dove Medical Press</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7XB</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</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>GNUQQ</scope><scope>GUQSH</scope><scope>KB0</scope><scope>M2O</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20160101</creationdate><title>Factors associated with opioid overdose: a 10-year retrospective study of patients in a large integrated health care system</title><author>Boscarino, Joseph A ; 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The success of these efforts will be dependent on the identification of at-risk patients and improved access to the antidote naloxone. Therefore, to identify access to naloxone and factors associated with negative health outcomes, we conducted a retrospective study of patients with OD to identify those at highest risk of adverse outcomes and to assess the use of naloxone.
We conducted a study of electronic health records for patients admitted to the largest multihospital system in the region - the Geisinger Health System (GHS) for ODs - from April 2005 through March 2015. ODs were defined by International Classification of Diseases-9 codes (age range: 10-95 years). Bivariate analyses and multiple logistic regressions were conducted to identify pre-OD factors associated with adverse health outcomes post-OD.
We identified 2,039 patients with one or more ODs, of whom 9.4% were deceased within 12 months. Patient demographics suggest that patients with OD had a mean age of 52 years, were not married (64%), and were unemployed (78%). Common comorbidities among patients with OD include cardiovascular disease (22%), diabetes (14%), cancer (13%), and the presence of one or more mental health disorders (35%). Few patients had a prescription order for naloxone (9%) after their OD. The majority of patients with OD were in proximity to GHS health care facilities, with 87% having a GHS primary care provider. In multiple logistic regressions, common predictors of adverse outcomes, including death, repeated ODs, frequent service use, and high service cost, were higher prescription opioid use, comorbid medical conditions, comorbid mental disorders, and concurrent use of other psychotropic medications.
This study suggests opportunities for improving OD outcomes. Those who receive higher quantities of prescription opioids concurrent with other psychotropic medicines may need closer monitoring to avoid death, repeated OD events, higher service use, and higher service costs. Other opportunities for improving OD outcomes include the use of electronic health records to notify physicians of high-risk patients and updating of guidelines/operation manuals focused on the distribution of naloxone to those in highest need.</abstract><cop>New Zealand</cop><pub>Dove Medical Press Limited</pub><pmid>27695382</pmid><doi>10.2147/SAR.S108302</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Analysis Asthma Back pain Chronic illnesses Codes Comorbidity Complications and side effects Drug abuse Drug overdose Electronic health records Emergency medical care healthcare access healthcare costs Hospitals Medical care Medical research Mental health Mortality naloxone Narcotics Opioid abuse opioids Original Research overdose antidote Patients Physicians Prescription drugs Primary care Risk factors services utilization Substance abuse treatment |
title | Factors associated with opioid overdose: a 10-year retrospective study of patients in a large integrated health care system |
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