Anxiety and depressive symptom identification using the Duke Health Profile
Duke Health Profile (DUKE) subscales were compared for their ability to identify anxiety and depressive symptoms as measured by the State Anxiety Inventory (SAI) and the Center for Epidemiologic Studies Depression Scale (CES-D) in 413 primary care patients. The seven-item Duke Anxiety-Depression Sca...
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| Veröffentlicht in: | Journal of clinical epidemiology 1996, Vol.49 (1), p.85-93 |
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| container_title | Journal of clinical epidemiology |
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| creator | Parkerson, George R. Broadhead, W.Eugene Tse, Chiu-Kit J. |
| description | Duke Health Profile (DUKE) subscales were compared for their ability to identify anxiety and depressive symptoms as measured by the State Anxiety Inventory (SAI) and the Center for Epidemiologic Studies Depression Scale (CES-D) in 413 primary care patients. The seven-item Duke Anxiety-Depression Scale (DUKE-AD) was the best symptom identifier, with sensitivities and specificities greater than 70% for high scores on both the SAI and CES-D. Also, baseline DUKE-AD scores predicted five clinical outcomes during an 18-month follow-up period, with receiver operating characteristic (ROC) curve areas ranging from 57.1 to 58.7%. Patients shown by DUKE-AD scores to be at high risk (>30, scale 0–100) for symptoms of anxiety and/or depression were more often women, less well-educated, not working, and with lower socioeconomic status. Their severity of illness was higher than that of low-risk patients. Although the providers did not know which patients were at high risk, they made a clinical diagnosis of anxiety or depression more often in high-risk patients. |
| doi_str_mv | 10.1016/0895-4356(95)00037-2 |
| format | Article |
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The seven-item Duke Anxiety-Depression Scale (DUKE-AD) was the best symptom identifier, with sensitivities and specificities greater than 70% for high scores on both the SAI and CES-D. Also, baseline DUKE-AD scores predicted five clinical outcomes during an 18-month follow-up period, with receiver operating characteristic (ROC) curve areas ranging from 57.1 to 58.7%. Patients shown by DUKE-AD scores to be at high risk (>30, scale 0–100) for symptoms of anxiety and/or depression were more often women, less well-educated, not working, and with lower socioeconomic status. Their severity of illness was higher than that of low-risk patients. Although the providers did not know which patients were at high risk, they made a clinical diagnosis of anxiety or depression more often in high-risk patients.</description><identifier>ISSN: 0895-4356</identifier><identifier>EISSN: 1878-5921</identifier><identifier>DOI: 10.1016/0895-4356(95)00037-2</identifier><identifier>PMID: 8598516</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Adolescent ; Adult ; Aged ; Anxiety disorders ; Anxiety Disorders - diagnosis ; Anxiety Disorders - epidemiology ; Depressive Disorder - diagnosis ; Depressive Disorder - epidemiology ; depressive disorders ; Female ; Follow-Up Studies ; Health Status ; Health Status Indicators ; Humans ; Male ; mental health measures ; Middle Aged ; North Carolina - epidemiology ; Predictive Value of Tests ; Prevalence ; primary care ; Primary Health Care ; Psychiatric Status Rating Scales ; Risk Factors ; screening measures ; Sensitivity and Specificity ; Severity of Illness Index</subject><ispartof>Journal of clinical epidemiology, 1996, Vol.49 (1), p.85-93</ispartof><rights>1996</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c357t-9e615eb940a0ebffc3d21aeade9ac5e11a44054edad399e11139a2f308ae85713</citedby><cites>FETCH-LOGICAL-c357t-9e615eb940a0ebffc3d21aeade9ac5e11a44054edad399e11139a2f308ae85713</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/0895-4356(95)00037-2$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,4024,27923,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/8598516$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Parkerson, George R.</creatorcontrib><creatorcontrib>Broadhead, W.Eugene</creatorcontrib><creatorcontrib>Tse, Chiu-Kit J.</creatorcontrib><title>Anxiety and depressive symptom identification using the Duke Health Profile</title><title>Journal of clinical epidemiology</title><addtitle>J Clin Epidemiol</addtitle><description>Duke Health Profile (DUKE) subscales were compared for their ability to identify anxiety and depressive symptoms as measured by the State Anxiety Inventory (SAI) and the Center for Epidemiologic Studies Depression Scale (CES-D) in 413 primary care patients. The seven-item Duke Anxiety-Depression Scale (DUKE-AD) was the best symptom identifier, with sensitivities and specificities greater than 70% for high scores on both the SAI and CES-D. Also, baseline DUKE-AD scores predicted five clinical outcomes during an 18-month follow-up period, with receiver operating characteristic (ROC) curve areas ranging from 57.1 to 58.7%. Patients shown by DUKE-AD scores to be at high risk (>30, scale 0–100) for symptoms of anxiety and/or depression were more often women, less well-educated, not working, and with lower socioeconomic status. Their severity of illness was higher than that of low-risk patients. Although the providers did not know which patients were at high risk, they made a clinical diagnosis of anxiety or depression more often in high-risk patients.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Anxiety disorders</subject><subject>Anxiety Disorders - diagnosis</subject><subject>Anxiety Disorders - epidemiology</subject><subject>Depressive Disorder - diagnosis</subject><subject>Depressive Disorder - epidemiology</subject><subject>depressive disorders</subject><subject>Female</subject><subject>Follow-Up Studies</subject><subject>Health Status</subject><subject>Health Status Indicators</subject><subject>Humans</subject><subject>Male</subject><subject>mental health measures</subject><subject>Middle Aged</subject><subject>North Carolina - epidemiology</subject><subject>Predictive Value of Tests</subject><subject>Prevalence</subject><subject>primary care</subject><subject>Primary Health Care</subject><subject>Psychiatric Status Rating Scales</subject><subject>Risk Factors</subject><subject>screening measures</subject><subject>Sensitivity and Specificity</subject><subject>Severity of Illness Index</subject><issn>0895-4356</issn><issn>1878-5921</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1996</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kEtLAzEQx4MotT6-gUJOoofVZLPZbC5CqY-KBT3oOaTJrI3uoybZYr-9W1t69DQM_8cwP4TOKLmmhOY3pJA8yRjPLyW_IoQwkaR7aEgLUSRcpnQfDXeWQ3QUwichVBDBB2hQcFlwmg_R86j5cRBXWDcWW1h4CMEtAYdVvYhtjZ2FJrrSGR1d2-AuuOYDxzngu-4L8AR0Fef41belq-AEHZS6CnC6ncfo_eH-bTxJpi-PT-PRNDGMi5hIyCmHmcyIJjArS8NsSjVoC1IbDpTqLCM8A6stk7LfKZM6LRkpNBRcUHaMLja9C99-dxCiql0wUFW6gbYLSggp-iTrjdnGaHwbgodSLbyrtV8pStSaoVoDUmtAqp9_DFXax863_d2sBrsLbaH1-u1Gh_7JpQOvgnHQGLDOg4nKtu7_A7-ByoFp</recordid><startdate>1996</startdate><enddate>1996</enddate><creator>Parkerson, George R.</creator><creator>Broadhead, W.Eugene</creator><creator>Tse, Chiu-Kit J.</creator><general>Elsevier Inc</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>7X8</scope></search><sort><creationdate>1996</creationdate><title>Anxiety and depressive symptom identification using the Duke Health Profile</title><author>Parkerson, George R. ; Broadhead, W.Eugene ; Tse, Chiu-Kit J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c357t-9e615eb940a0ebffc3d21aeade9ac5e11a44054edad399e11139a2f308ae85713</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1996</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Anxiety disorders</topic><topic>Anxiety Disorders - diagnosis</topic><topic>Anxiety Disorders - epidemiology</topic><topic>Depressive Disorder - diagnosis</topic><topic>Depressive Disorder - epidemiology</topic><topic>depressive disorders</topic><topic>Female</topic><topic>Follow-Up Studies</topic><topic>Health Status</topic><topic>Health Status Indicators</topic><topic>Humans</topic><topic>Male</topic><topic>mental health measures</topic><topic>Middle Aged</topic><topic>North Carolina - epidemiology</topic><topic>Predictive Value of Tests</topic><topic>Prevalence</topic><topic>primary care</topic><topic>Primary Health Care</topic><topic>Psychiatric Status Rating Scales</topic><topic>Risk Factors</topic><topic>screening measures</topic><topic>Sensitivity and Specificity</topic><topic>Severity of Illness Index</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Parkerson, George R.</creatorcontrib><creatorcontrib>Broadhead, W.Eugene</creatorcontrib><creatorcontrib>Tse, Chiu-Kit J.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of clinical epidemiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Parkerson, George R.</au><au>Broadhead, W.Eugene</au><au>Tse, Chiu-Kit J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Anxiety and depressive symptom identification using the Duke Health Profile</atitle><jtitle>Journal of clinical epidemiology</jtitle><addtitle>J Clin Epidemiol</addtitle><date>1996</date><risdate>1996</risdate><volume>49</volume><issue>1</issue><spage>85</spage><epage>93</epage><pages>85-93</pages><issn>0895-4356</issn><eissn>1878-5921</eissn><abstract>Duke Health Profile (DUKE) subscales were compared for their ability to identify anxiety and depressive symptoms as measured by the State Anxiety Inventory (SAI) and the Center for Epidemiologic Studies Depression Scale (CES-D) in 413 primary care patients. The seven-item Duke Anxiety-Depression Scale (DUKE-AD) was the best symptom identifier, with sensitivities and specificities greater than 70% for high scores on both the SAI and CES-D. Also, baseline DUKE-AD scores predicted five clinical outcomes during an 18-month follow-up period, with receiver operating characteristic (ROC) curve areas ranging from 57.1 to 58.7%. Patients shown by DUKE-AD scores to be at high risk (>30, scale 0–100) for symptoms of anxiety and/or depression were more often women, less well-educated, not working, and with lower socioeconomic status. Their severity of illness was higher than that of low-risk patients. Although the providers did not know which patients were at high risk, they made a clinical diagnosis of anxiety or depression more often in high-risk patients.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>8598516</pmid><doi>10.1016/0895-4356(95)00037-2</doi><tpages>9</tpages></addata></record> |
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| ispartof | Journal of clinical epidemiology, 1996, Vol.49 (1), p.85-93 |
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| source | MEDLINE; Access via ScienceDirect (Elsevier) |
| subjects | Adolescent Adult Aged Anxiety disorders Anxiety Disorders - diagnosis Anxiety Disorders - epidemiology Depressive Disorder - diagnosis Depressive Disorder - epidemiology depressive disorders Female Follow-Up Studies Health Status Health Status Indicators Humans Male mental health measures Middle Aged North Carolina - epidemiology Predictive Value of Tests Prevalence primary care Primary Health Care Psychiatric Status Rating Scales Risk Factors screening measures Sensitivity and Specificity Severity of Illness Index |
| title | Anxiety and depressive symptom identification using the Duke Health Profile |
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