Loading…
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...
Saved in:
Published in: | Pain medicine (Malden, Mass.) Mass.), 2013-12, Vol.14 (12), p.1900-1907 |
---|---|
Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c4211-51e89f556e565739c54e9ed48fcc7b2150658f9611a651b740d6601da415ce523 |
---|---|
cites | cdi_FETCH-LOGICAL-c4211-51e89f556e565739c54e9ed48fcc7b2150658f9611a651b740d6601da415ce523 |
container_end_page | 1907 |
container_issue | 12 |
container_start_page | 1900 |
container_title | Pain medicine (Malden, Mass.) |
container_volume | 14 |
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 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1492609506</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1492609506</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4211-51e89f556e565739c54e9ed48fcc7b2150658f9611a651b740d6601da415ce523</originalsourceid><addsrcrecordid>eNqN0ctKAzEUBuAgivW28AUk4EYXrXMyuXTcFa-FFkXresgkZzC1ndTJjNK3N9rqQhDMJmfx5SeHn5BDSHoQz9lijj1gjMEG2QHBZJfLVG2uZ5Yq0SG7IUyTBCTvp9ukw9KMK5WqHWIH1rrG-Yr6kt4VUzSNe0N6qRtNG0-HFqvGlUv64MILLX1Nx2id0V8vxi60AamuLB0UcTqnk2ekw8r4KrjQYGWW9NH4GvfJVqlnAQ_W9x55ur6aXNx2R3c3w4vBqGs4A-gKwH5WCiFRSKHSzAiOGVreL41RBQORSNEvMwmgpYBC8cRKmYDVHIRBwdI9crLKXdT-tcXQ5HMXDM5mukLfhhx4xmSSxZx_UKVE_ITkkR7_olPf1lVcJCopBRcgVVSnK2VqH0KNZb6o3VzXyxyS_LOlPLaUf7UU7dE6sS3maH_kdy0RnK3Au5vh8u-k_H58tYr8ALVcmKs</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1466545167</pqid></control><display><type>article</type><title>Addition of Objective Data to Identify Risk for Medication Misuse and Abuse: The Inconsistency Score</title><source>SPORTDiscus</source><source>Oxford Journals Online</source><creator>Hamill‐Ruth, Robin J. ; Larriviere, Kylyana ; McMasters, Mary G.</creator><creatorcontrib>Hamill‐Ruth, Robin J. ; Larriviere, Kylyana ; McMasters, Mary G.</creatorcontrib><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.</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 >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.</description><subject>Adult</subject><subject>Age</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Behavior</subject><subject>Benzodiazepines</subject><subject>Chronic Pain</subject><subject>Chronic Pain - drug therapy</subject><subject>Drug Abuse</subject><subject>Drug Misuse</subject><subject>Female</subject><subject>Humans</subject><subject>Male</subject><subject>Medical research</subject><subject>Middle Aged</subject><subject>Opioids</subject><subject>Pain management</subject><subject>Patients</subject><subject>Prescription Monitoring Program</subject><subject>Risk Factors</subject><subject>Risk Mitigation</subject><subject>Substance Abuse Detection - methods</subject><subject>Substance-Related Disorders - diagnosis</subject><subject>Urine Drug Testing</subject><subject>Young Adult</subject><issn>1526-2375</issn><issn>1526-4637</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNqN0ctKAzEUBuAgivW28AUk4EYXrXMyuXTcFa-FFkXresgkZzC1ndTJjNK3N9rqQhDMJmfx5SeHn5BDSHoQz9lijj1gjMEG2QHBZJfLVG2uZ5Yq0SG7IUyTBCTvp9ukw9KMK5WqHWIH1rrG-Yr6kt4VUzSNe0N6qRtNG0-HFqvGlUv64MILLX1Nx2id0V8vxi60AamuLB0UcTqnk2ekw8r4KrjQYGWW9NH4GvfJVqlnAQ_W9x55ur6aXNx2R3c3w4vBqGs4A-gKwH5WCiFRSKHSzAiOGVreL41RBQORSNEvMwmgpYBC8cRKmYDVHIRBwdI9crLKXdT-tcXQ5HMXDM5mukLfhhx4xmSSxZx_UKVE_ITkkR7_olPf1lVcJCopBRcgVVSnK2VqH0KNZb6o3VzXyxyS_LOlPLaUf7UU7dE6sS3maH_kdy0RnK3Au5vh8u-k_H58tYr8ALVcmKs</recordid><startdate>201312</startdate><enddate>201312</enddate><creator>Hamill‐Ruth, Robin J.</creator><creator>Larriviere, Kylyana</creator><creator>McMasters, Mary G.</creator><general>Oxford University Press</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>7TK</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><scope>7U1</scope><scope>7U2</scope><scope>C1K</scope></search><sort><creationdate>201312</creationdate><title>Addition of Objective Data to Identify Risk for Medication Misuse and Abuse: The Inconsistency Score</title><author>Hamill‐Ruth, Robin J. ; Larriviere, Kylyana ; McMasters, Mary G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4211-51e89f556e565739c54e9ed48fcc7b2150658f9611a651b740d6601da415ce523</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Adult</topic><topic>Age</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Behavior</topic><topic>Benzodiazepines</topic><topic>Chronic Pain</topic><topic>Chronic Pain - drug therapy</topic><topic>Drug Abuse</topic><topic>Drug Misuse</topic><topic>Female</topic><topic>Humans</topic><topic>Male</topic><topic>Medical research</topic><topic>Middle Aged</topic><topic>Opioids</topic><topic>Pain management</topic><topic>Patients</topic><topic>Prescription Monitoring Program</topic><topic>Risk Factors</topic><topic>Risk Mitigation</topic><topic>Substance Abuse Detection - methods</topic><topic>Substance-Related Disorders - diagnosis</topic><topic>Urine Drug Testing</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hamill‐Ruth, Robin J.</creatorcontrib><creatorcontrib>Larriviere, Kylyana</creatorcontrib><creatorcontrib>McMasters, Mary G.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Neurosciences Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><collection>Risk Abstracts</collection><collection>Safety Science and Risk</collection><collection>Environmental Sciences and Pollution Management</collection><jtitle>Pain medicine (Malden, Mass.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hamill‐Ruth, Robin J.</au><au>Larriviere, Kylyana</au><au>McMasters, Mary G.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Addition of Objective Data to Identify Risk for Medication Misuse and Abuse: The Inconsistency Score</atitle><jtitle>Pain medicine (Malden, Mass.)</jtitle><addtitle>Pain Med</addtitle><date>2013-12</date><risdate>2013</risdate><volume>14</volume><issue>12</issue><spage>1900</spage><epage>1907</epage><pages>1900-1907</pages><issn>1526-2375</issn><eissn>1526-4637</eissn><coden>PMAEAP</coden><abstract>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.</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> |
fulltext | fulltext |
identifier | ISSN: 1526-2375 |
ispartof | Pain medicine (Malden, Mass.), 2013-12, Vol.14 (12), p.1900-1907 |
issn | 1526-2375 1526-4637 |
language | eng |
recordid | cdi_proquest_miscellaneous_1492609506 |
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 |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T17%3A45%3A58IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Addition%20of%20Objective%20Data%20to%20Identify%20Risk%20for%20Medication%20Misuse%20and%20Abuse:%20The%20Inconsistency%20Score&rft.jtitle=Pain%20medicine%20(Malden,%20Mass.)&rft.au=Hamill%E2%80%90Ruth,%20Robin%20J.&rft.date=2013-12&rft.volume=14&rft.issue=12&rft.spage=1900&rft.epage=1907&rft.pages=1900-1907&rft.issn=1526-2375&rft.eissn=1526-4637&rft.coden=PMAEAP&rft_id=info:doi/10.1111/pme.12221&rft_dat=%3Cproquest_cross%3E1492609506%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c4211-51e89f556e565739c54e9ed48fcc7b2150658f9611a651b740d6601da415ce523%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1466545167&rft_id=info:pmid/23947737&rfr_iscdi=true |