Screen of drug use: Diagnostic accuracy for opioid use disorder.
Identifieur interne : 000489 ( Main/Corpus ); précédent : 000488; suivant : 000490Screen of drug use: Diagnostic accuracy for opioid use disorder.
Auteurs : Quyen Q. Tiet ; Yani E. Leyva ; Rudolf H. MoosSource :
- Drug and alcohol dependence [ 1879-0046 ] ; 2019.
English descriptors
- KwdEn :
- Aged (MeSH), Analgesics, Opioid (analysis), Diagnostic and Statistical Manual of Mental Disorders (MeSH), Drug Evaluation, Preclinical (methods), Drug Evaluation, Preclinical (statistics & numerical data), Female (MeSH), Humans (MeSH), Male (MeSH), Middle Aged (MeSH), Opioid-Related Disorders (diagnosis), Primary Health Care (statistics & numerical data), Psychiatric Status Rating Scales (statistics & numerical data), Sensitivity and Specificity (MeSH), United States (MeSH), United States Department of Veterans Affairs (MeSH), Veterans (statistics & numerical data).
- MESH :
- chemical , analysis : Analgesics, Opioid.
- geographic : United States.
- diagnosis : Opioid-Related Disorders.
- methods : Drug Evaluation, Preclinical.
- statistics & numerical data : Drug Evaluation, Preclinical, Primary Health Care, Psychiatric Status Rating Scales, Veterans.
- Aged, Diagnostic and Statistical Manual of Mental Disorders, Female, Humans, Male, Middle Aged, Sensitivity and Specificity, United States Department of Veterans Affairs.
Abstract
AIMS
Opioid related deaths have more than tripled in recent years. Identifying and referring individuals with opioid use disorder (OUD) to treatment is one of the promising approaches to reduce opioid related deaths. However, using urine toxicology to identify opioid misuse is not reliable. This study validates the Screen of Drug Use (SoDU) to screen for OUD in the primary care setting, and establish its concurrent diagnostic validity among diverse subgroups of patients, including age, gender, race/ethnicity, marital status, educational level, and PTSD status.
METHODS
We used data from 1283 primary care patients recruited in the VA in CA. This sample matched patient characteristics general VA population with mean age = 62, and 95% men. A total of 10.4% met DSM-5 criteria for any drug use disorder and 2.7% met criteria for OUD (with or without other drug use disorders). An opioid use abuse or dependence diagnosis based on the Mini International Diagnostic Interview was used as the criterion for having a DSM-5 opioid use disorder.
RESULTS
The SoDU was 100% sensitive (95% confidence interval [CI], 89.9%-100%), and 86.3% specific (95% CI, 84.3%-88.1%). When tested in subgroups of patients, the SoDU maintained 100% sensitivity in all subgroups. Specificity ranged from 74.5% to 94.2% for diverse subgroups of patients.
CONCLUSIONS
The SoDU is an appropriate instrument to screen for opioid use disorder in primary care. It is brief, easy to use, and has good concurrent diagnostic validity for diverse groups of patients.
DOI: 10.1016/j.drugalcdep.2019.01.044
PubMed: 30947051
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Screen of drug use: Diagnostic accuracy for opioid use disorder.</title><author><name sortKey="Tiet, Quyen Q" sort="Tiet, Quyen Q" uniqKey="Tiet Q" first="Quyen Q" last="Tiet">Quyen Q. Tiet</name><affiliation><nlm:affiliation>VA Palo Alto Health Care System, 3801 Miranda Avenue, Palo Alto, CA 94304, USA; California School of Professional Psychology, Alliant International University, 1 Beach Street, San Francisco, CA 94133, USA. Electronic address: quyen.tiet@va.gov.</nlm:affiliation></affiliation></author><author><name sortKey="Leyva, Yani E" sort="Leyva, Yani E" uniqKey="Leyva Y" first="Yani E" last="Leyva">Yani E. Leyva</name><affiliation><nlm:affiliation>VA Palo Alto Health Care System, 3801 Miranda Avenue, Palo Alto, CA 94304, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Moos, Rudolf H" sort="Moos, Rudolf H" uniqKey="Moos R" first="Rudolf H" last="Moos">Rudolf H. Moos</name><affiliation><nlm:affiliation>VA Palo Alto Health Care System, 3801 Miranda Avenue, Palo Alto, CA 94304, USA; Department of Psychiatry and Behavioral Sciences, Center for Health Care Evaluation, Stanford University School of Medicine, 152MPD, 795 Willow Road, Menlo Park, CA 94025, USA.</nlm:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2019">2019</date><idno type="RBID">pubmed:30947051</idno><idno type="pmid">30947051</idno><idno type="doi">10.1016/j.drugalcdep.2019.01.044</idno><idno type="wicri:Area/Main/Corpus">000489</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000489</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Screen of drug use: Diagnostic accuracy for opioid use disorder.</title><author><name sortKey="Tiet, Quyen Q" sort="Tiet, Quyen Q" uniqKey="Tiet Q" first="Quyen Q" last="Tiet">Quyen Q. Tiet</name><affiliation><nlm:affiliation>VA Palo Alto Health Care System, 3801 Miranda Avenue, Palo Alto, CA 94304, USA; California School of Professional Psychology, Alliant International University, 1 Beach Street, San Francisco, CA 94133, USA. Electronic address: quyen.tiet@va.gov.</nlm:affiliation></affiliation></author><author><name sortKey="Leyva, Yani E" sort="Leyva, Yani E" uniqKey="Leyva Y" first="Yani E" last="Leyva">Yani E. Leyva</name><affiliation><nlm:affiliation>VA Palo Alto Health Care System, 3801 Miranda Avenue, Palo Alto, CA 94304, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Moos, Rudolf H" sort="Moos, Rudolf H" uniqKey="Moos R" first="Rudolf H" last="Moos">Rudolf H. Moos</name><affiliation><nlm:affiliation>VA Palo Alto Health Care System, 3801 Miranda Avenue, Palo Alto, CA 94304, USA; Department of Psychiatry and Behavioral Sciences, Center for Health Care Evaluation, Stanford University School of Medicine, 152MPD, 795 Willow Road, Menlo Park, CA 94025, USA.</nlm:affiliation></affiliation></author></analytic><series><title level="j">Drug and alcohol dependence</title><idno type="eISSN">1879-0046</idno><imprint><date when="2019" type="published">2019</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Aged (MeSH)</term><term>Analgesics, Opioid (analysis)</term><term>Diagnostic and Statistical Manual of Mental Disorders (MeSH)</term><term>Drug Evaluation, Preclinical (methods)</term><term>Drug Evaluation, Preclinical (statistics & numerical data)</term><term>Female (MeSH)</term><term>Humans (MeSH)</term><term>Male (MeSH)</term><term>Middle Aged (MeSH)</term><term>Opioid-Related Disorders (diagnosis)</term><term>Primary Health Care (statistics & numerical data)</term><term>Psychiatric Status Rating Scales (statistics & numerical data)</term><term>Sensitivity and Specificity (MeSH)</term><term>United States (MeSH)</term><term>United States Department of Veterans Affairs (MeSH)</term><term>Veterans (statistics & numerical data)</term></keywords><keywords scheme="MESH" type="chemical" qualifier="analysis" xml:lang="en"><term>Analgesics, Opioid</term></keywords><keywords scheme="MESH" type="geographic" xml:lang="en"><term>United States</term></keywords><keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Opioid-Related Disorders</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Drug Evaluation, Preclinical</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Drug Evaluation, Preclinical</term><term>Primary Health Care</term><term>Psychiatric Status Rating Scales</term><term>Veterans</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Aged</term><term>Diagnostic and Statistical Manual of Mental Disorders</term><term>Female</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Sensitivity and Specificity</term><term>United States Department of Veterans Affairs</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>AIMS</b></p><p>Opioid related deaths have more than tripled in recent years. Identifying and referring individuals with opioid use disorder (OUD) to treatment is one of the promising approaches to reduce opioid related deaths. However, using urine toxicology to identify opioid misuse is not reliable. This study validates the Screen of Drug Use (SoDU) to screen for OUD in the primary care setting, and establish its concurrent diagnostic validity among diverse subgroups of patients, including age, gender, race/ethnicity, marital status, educational level, and PTSD status.</p></div><div type="abstract" xml:lang="en"><p><b>METHODS</b></p><p>We used data from 1283 primary care patients recruited in the VA in CA. This sample matched patient characteristics general VA population with mean age = 62, and 95% men. A total of 10.4% met DSM-5 criteria for any drug use disorder and 2.7% met criteria for OUD (with or without other drug use disorders). An opioid use abuse or dependence diagnosis based on the Mini International Diagnostic Interview was used as the criterion for having a DSM-5 opioid use disorder.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>The SoDU was 100% sensitive (95% confidence interval [CI], 89.9%-100%), and 86.3% specific (95% CI, 84.3%-88.1%). When tested in subgroups of patients, the SoDU maintained 100% sensitivity in all subgroups. Specificity ranged from 74.5% to 94.2% for diverse subgroups of patients.</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b></p><p>The SoDU is an appropriate instrument to screen for opioid use disorder in primary care. It is brief, easy to use, and has good concurrent diagnostic validity for diverse groups of patients.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" IndexingMethod="Curated" Owner="NLM"><PMID Version="1">30947051</PMID><DateCompleted><Year>2019</Year><Month>11</Month><Day>25</Day></DateCompleted><DateRevised><Year>2019</Year><Month>12</Month><Day>10</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1879-0046</ISSN><JournalIssue CitedMedium="Internet"><Volume>198</Volume><PubDate><Year>2019</Year><Month>05</Month><Day>01</Day></PubDate></JournalIssue><Title>Drug and alcohol dependence</Title><ISOAbbreviation>Drug Alcohol Depend</ISOAbbreviation></Journal><ArticleTitle>Screen of drug use: Diagnostic accuracy for opioid use disorder.</ArticleTitle><Pagination><MedlinePgn>176-179</MedlinePgn></Pagination><ELocationID EIdType="pii" ValidYN="Y">S0376-8716(19)30076-6</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.drugalcdep.2019.01.044</ELocationID><Abstract><AbstractText Label="AIMS">Opioid related deaths have more than tripled in recent years. Identifying and referring individuals with opioid use disorder (OUD) to treatment is one of the promising approaches to reduce opioid related deaths. However, using urine toxicology to identify opioid misuse is not reliable. This study validates the Screen of Drug Use (SoDU) to screen for OUD in the primary care setting, and establish its concurrent diagnostic validity among diverse subgroups of patients, including age, gender, race/ethnicity, marital status, educational level, and PTSD status.</AbstractText><AbstractText Label="METHODS">We used data from 1283 primary care patients recruited in the VA in CA. This sample matched patient characteristics general VA population with mean age = 62, and 95% men. A total of 10.4% met DSM-5 criteria for any drug use disorder and 2.7% met criteria for OUD (with or without other drug use disorders). An opioid use abuse or dependence diagnosis based on the Mini International Diagnostic Interview was used as the criterion for having a DSM-5 opioid use disorder.</AbstractText><AbstractText Label="RESULTS">The SoDU was 100% sensitive (95% confidence interval [CI], 89.9%-100%), and 86.3% specific (95% CI, 84.3%-88.1%). When tested in subgroups of patients, the SoDU maintained 100% sensitivity in all subgroups. Specificity ranged from 74.5% to 94.2% for diverse subgroups of patients.</AbstractText><AbstractText Label="CONCLUSIONS">The SoDU is an appropriate instrument to screen for opioid use disorder in primary care. 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