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Addition of Objective Data to Identify Risk for Medication Misuse and Abuse: The Inconsistency Score

Objective To identify and quantify the rate of aberrant drug‐taking behaviors using objective data. Design Institutional Review Board‐approved anonymous, voluntary, quality improvement project. Setting University‐based, multidisciplinary pain management center. Subjects Consecutive initial visit pat...

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Published in:Pain medicine (Malden, Mass.) Mass.), 2013-12, Vol.14 (12), p.1900-1907
Main Authors: Hamill‐Ruth, Robin J., Larriviere, Kylyana, McMasters, Mary G.
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container_end_page 1907
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container_title Pain medicine (Malden, Mass.)
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creator Hamill‐Ruth, Robin J.
Larriviere, Kylyana
McMasters, Mary G.
description Objective To identify and quantify the rate of aberrant drug‐taking behaviors using objective data. Design Institutional Review Board‐approved anonymous, voluntary, quality improvement project. Setting University‐based, multidisciplinary pain management center. Subjects Consecutive initial visit patients. Methods Patients were interviewed, asked to provide a urine sample, and filled out a brief questionnaire about recent prescription, over‐the‐counter, and illicit drug use. Discrepancies between patient report (PQ), the Virginia State prescription monitoring program (PMP), referring physician records (MRs), and the point‐of‐care urine drug screen (POC UDS) results were scored from 0 (none) to a maximum of 2 points (2+ discrepancies) for each potential comparator between data sets. Maximum potential inconsistency score (IS) was 16 points. Results Two hundred nine patients were interviewed to yield 118 specimens. Mean age of participants was 48.2 years (22–83 year); 65.3% were female. IS scores ranged from 1 to 11, and 52.5% of the patients had an IS ≥ 3. Higher IS scores correlated with higher numbers of pharmacies, prescribing physicians, prescriptions on the PMP, and presence of illicit substances in the urine. Addition of either POC UDS or PMP to PQ and MR increased identification of inconsistencies by >400%, and PMP plus UDS by >900%. Conclusions Patient report and the medical record are inadequate to screen for aberrant drug‐related behaviors. Addition of PMP and POC UDS contribute significantly to identification of inconsistencies through higher IS scores and differentiate patients at higher risk of medication misuse, abuse, or diversion. Comparison of multiple sources of objective information provides better insight into inconsistencies of report and behavior, and may assist in more appropriate and safer prescribing decisions.
doi_str_mv 10.1111/pme.12221
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Design Institutional Review Board‐approved anonymous, voluntary, quality improvement project. Setting University‐based, multidisciplinary pain management center. Subjects Consecutive initial visit patients. Methods Patients were interviewed, asked to provide a urine sample, and filled out a brief questionnaire about recent prescription, over‐the‐counter, and illicit drug use. Discrepancies between patient report (PQ), the Virginia State prescription monitoring program (PMP), referring physician records (MRs), and the point‐of‐care urine drug screen (POC UDS) results were scored from 0 (none) to a maximum of 2 points (2+ discrepancies) for each potential comparator between data sets. Maximum potential inconsistency score (IS) was 16 points. Results Two hundred nine patients were interviewed to yield 118 specimens. Mean age of participants was 48.2 years (22–83 year); 65.3% were female. IS scores ranged from 1 to 11, and 52.5% of the patients had an IS ≥ 3. Higher IS scores correlated with higher numbers of pharmacies, prescribing physicians, prescriptions on the PMP, and presence of illicit substances in the urine. Addition of either POC UDS or PMP to PQ and MR increased identification of inconsistencies by &gt;400%, and PMP plus UDS by &gt;900%. Conclusions Patient report and the medical record are inadequate to screen for aberrant drug‐related behaviors. Addition of PMP and POC UDS contribute significantly to identification of inconsistencies through higher IS scores and differentiate patients at higher risk of medication misuse, abuse, or diversion. Comparison of multiple sources of objective information provides better insight into inconsistencies of report and behavior, and may assist in more appropriate and safer prescribing decisions.</description><identifier>ISSN: 1526-2375</identifier><identifier>EISSN: 1526-4637</identifier><identifier>DOI: 10.1111/pme.12221</identifier><identifier>PMID: 23947737</identifier><identifier>CODEN: PMAEAP</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>Adult ; Age ; Aged ; Aged, 80 and over ; Behavior ; Benzodiazepines ; Chronic Pain ; Chronic Pain - drug therapy ; Drug Abuse ; Drug Misuse ; Female ; Humans ; Male ; Medical research ; Middle Aged ; Opioids ; Pain management ; Patients ; Prescription Monitoring Program ; Risk Factors ; Risk Mitigation ; Substance Abuse Detection - methods ; Substance-Related Disorders - diagnosis ; Urine Drug Testing ; Young Adult</subject><ispartof>Pain medicine (Malden, Mass.), 2013-12, Vol.14 (12), p.1900-1907</ispartof><rights>Wiley Periodicals, Inc</rights><rights>Wiley Periodicals, Inc.</rights><rights>2013 American Academy of Pain Medicine</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4211-51e89f556e565739c54e9ed48fcc7b2150658f9611a651b740d6601da415ce523</citedby><cites>FETCH-LOGICAL-c4211-51e89f556e565739c54e9ed48fcc7b2150658f9611a651b740d6601da415ce523</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23947737$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hamill‐Ruth, Robin J.</creatorcontrib><creatorcontrib>Larriviere, Kylyana</creatorcontrib><creatorcontrib>McMasters, Mary G.</creatorcontrib><title>Addition of Objective Data to Identify Risk for Medication Misuse and Abuse: The Inconsistency Score</title><title>Pain medicine (Malden, Mass.)</title><addtitle>Pain Med</addtitle><description>Objective To identify and quantify the rate of aberrant drug‐taking behaviors using objective data. Design Institutional Review Board‐approved anonymous, voluntary, quality improvement project. Setting University‐based, multidisciplinary pain management center. Subjects Consecutive initial visit patients. Methods Patients were interviewed, asked to provide a urine sample, and filled out a brief questionnaire about recent prescription, over‐the‐counter, and illicit drug use. Discrepancies between patient report (PQ), the Virginia State prescription monitoring program (PMP), referring physician records (MRs), and the point‐of‐care urine drug screen (POC UDS) results were scored from 0 (none) to a maximum of 2 points (2+ discrepancies) for each potential comparator between data sets. Maximum potential inconsistency score (IS) was 16 points. Results Two hundred nine patients were interviewed to yield 118 specimens. Mean age of participants was 48.2 years (22–83 year); 65.3% were female. IS scores ranged from 1 to 11, and 52.5% of the patients had an IS ≥ 3. Higher IS scores correlated with higher numbers of pharmacies, prescribing physicians, prescriptions on the PMP, and presence of illicit substances in the urine. Addition of either POC UDS or PMP to PQ and MR increased identification of inconsistencies by &gt;400%, and PMP plus UDS by &gt;900%. Conclusions Patient report and the medical record are inadequate to screen for aberrant drug‐related behaviors. Addition of PMP and POC UDS contribute significantly to identification of inconsistencies through higher IS scores and differentiate patients at higher risk of medication misuse, abuse, or diversion. 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Higher IS scores correlated with higher numbers of pharmacies, prescribing physicians, prescriptions on the PMP, and presence of illicit substances in the urine. Addition of either POC UDS or PMP to PQ and MR increased identification of inconsistencies by &gt;400%, and PMP plus UDS by &gt;900%. Conclusions Patient report and the medical record are inadequate to screen for aberrant drug‐related behaviors. Addition of PMP and POC UDS contribute significantly to identification of inconsistencies through higher IS scores and differentiate patients at higher risk of medication misuse, abuse, or diversion. Comparison of multiple sources of objective information provides better insight into inconsistencies of report and behavior, and may assist in more appropriate and safer prescribing decisions.</abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>23947737</pmid><doi>10.1111/pme.12221</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record>
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source SPORTDiscus; Oxford Journals Online
subjects Adult
Age
Aged
Aged, 80 and over
Behavior
Benzodiazepines
Chronic Pain
Chronic Pain - drug therapy
Drug Abuse
Drug Misuse
Female
Humans
Male
Medical research
Middle Aged
Opioids
Pain management
Patients
Prescription Monitoring Program
Risk Factors
Risk Mitigation
Substance Abuse Detection - methods
Substance-Related Disorders - diagnosis
Urine Drug Testing
Young Adult
title Addition of Objective Data to Identify Risk for Medication Misuse and Abuse: The Inconsistency Score
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