The development and validation of Huaxi Emotional-distress Index (HEI): a Chinese questionnaire for screening depression and anxiety in non-psychiatric clinical settings
Abstract Background Depression and anxiety among general hospital patients are common and under-recognized in China. This study aimed towards developing a short questionnaire for screening depression and anxiety in non-psychiatric clinical settings, and to test its reliability and validity. Methods...
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Veröffentlicht in: | Comprehensive psychiatry 2017-07, Vol.76, p.87-97 |
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creator | Wang, Jian Guo, Wan-jun Zhang, Lan Deng, Wei Wang, Hui-yao Yu, Jian-ying Luo, Shan-xia Huang, Ming-jin Dong, Zai-quan Li, Da-Jiang Song, Jin-ping Jiang, Yu Cheng, Nan-sheng Liu, Xie-he Li, Tao |
description | Abstract Background Depression and anxiety among general hospital patients are common and under-recognized in China. This study aimed towards developing a short questionnaire for screening depression and anxiety in non-psychiatric clinical settings, and to test its reliability and validity. Methods The item pool which included 35 questions about emotional distress was drafted through a comprehensive literature review. An expert panel review and the first clinical test with 288 general hospital patients were conducted for the primary item selection. The second clinical test was performed to select the final item in 637 non-psychiatric patients. The reliability and validity of the final questionnaire were tested in 763 non-psychiatric patients, in which 211 subjects were interviewed by psychiatrists using Mini International Neuropsychiatric Interview (MINI). Multiple data analysis methods including Principal Components Analysis (PCA), Item Response Theory (IRT), and Receiver Operating Characteristic (ROC) curve were used to select items and validate the final questionnaire. Results The series selection of items resulted in a 9-item questionnaire, namely Huaxi Emotional-distress Index (HEI). The cronbach's α coefficient of HEI was 0.90. The PCA results showed a unidimensional construct. The area under the ROC curve (AUC) was 0.88 when compared with MINI interview. Using the optimal cut-off score of HEI (11/12), the sensitivity and specificity were 0.880 and 0.766, respectively. Conclusions The HEI is considered as a reliable and valid instrument for screening depression and anxiety, which may have substantial clinical value to detect patients' emotional disturbances especially in the busy non-psychiatric clinical settings in China. |
doi_str_mv | 10.1016/j.comppsych.2017.04.001 |
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This study aimed towards developing a short questionnaire for screening depression and anxiety in non-psychiatric clinical settings, and to test its reliability and validity. Methods The item pool which included 35 questions about emotional distress was drafted through a comprehensive literature review. An expert panel review and the first clinical test with 288 general hospital patients were conducted for the primary item selection. The second clinical test was performed to select the final item in 637 non-psychiatric patients. The reliability and validity of the final questionnaire were tested in 763 non-psychiatric patients, in which 211 subjects were interviewed by psychiatrists using Mini International Neuropsychiatric Interview (MINI). Multiple data analysis methods including Principal Components Analysis (PCA), Item Response Theory (IRT), and Receiver Operating Characteristic (ROC) curve were used to select items and validate the final questionnaire. Results The series selection of items resulted in a 9-item questionnaire, namely Huaxi Emotional-distress Index (HEI). The cronbach's α coefficient of HEI was 0.90. The PCA results showed a unidimensional construct. The area under the ROC curve (AUC) was 0.88 when compared with MINI interview. Using the optimal cut-off score of HEI (11/12), the sensitivity and specificity were 0.880 and 0.766, respectively. Conclusions The HEI is considered as a reliable and valid instrument for screening depression and anxiety, which may have substantial clinical value to detect patients' emotional disturbances especially in the busy non-psychiatric clinical settings in China.</description><identifier>ISSN: 0010-440X</identifier><identifier>EISSN: 1532-8384</identifier><identifier>DOI: 10.1016/j.comppsych.2017.04.001</identifier><identifier>PMID: 28445837</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Adolescent ; Adult ; Anxiety ; Anxiety - diagnosis ; Asian Continental Ancestry Group - psychology ; Comorbidity ; Depression - diagnosis ; Depression - psychology ; Female ; Humans ; Item response theory ; Male ; Medical screening ; Mental depression ; Mental disorders ; Middle Aged ; Psychiatric Status Rating Scales - statistics & numerical data ; Psychiatry ; Reproducibility of Results ; ROC Curve ; Sensitivity and Specificity ; Young Adult</subject><ispartof>Comprehensive psychiatry, 2017-07, Vol.76, p.87-97</ispartof><rights>2017 Elsevier Inc.</rights><rights>Copyright © 2017 Elsevier Inc. All rights reserved.</rights><rights>Copyright Elsevier Limited Jul 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c454t-6919e84457ae3fd203b536c8e51b3fd143c963c05ad64eb1ed339c3c6eec63c13</citedby><cites>FETCH-LOGICAL-c454t-6919e84457ae3fd203b536c8e51b3fd143c963c05ad64eb1ed339c3c6eec63c13</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0010440X16304047$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28445837$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wang, Jian</creatorcontrib><creatorcontrib>Guo, Wan-jun</creatorcontrib><creatorcontrib>Zhang, Lan</creatorcontrib><creatorcontrib>Deng, Wei</creatorcontrib><creatorcontrib>Wang, Hui-yao</creatorcontrib><creatorcontrib>Yu, Jian-ying</creatorcontrib><creatorcontrib>Luo, Shan-xia</creatorcontrib><creatorcontrib>Huang, Ming-jin</creatorcontrib><creatorcontrib>Dong, Zai-quan</creatorcontrib><creatorcontrib>Li, Da-Jiang</creatorcontrib><creatorcontrib>Song, Jin-ping</creatorcontrib><creatorcontrib>Jiang, Yu</creatorcontrib><creatorcontrib>Cheng, Nan-sheng</creatorcontrib><creatorcontrib>Liu, Xie-he</creatorcontrib><creatorcontrib>Li, Tao</creatorcontrib><title>The development and validation of Huaxi Emotional-distress Index (HEI): a Chinese questionnaire for screening depression and anxiety in non-psychiatric clinical settings</title><title>Comprehensive psychiatry</title><addtitle>Compr Psychiatry</addtitle><description>Abstract Background Depression and anxiety among general hospital patients are common and under-recognized in China. This study aimed towards developing a short questionnaire for screening depression and anxiety in non-psychiatric clinical settings, and to test its reliability and validity. Methods The item pool which included 35 questions about emotional distress was drafted through a comprehensive literature review. An expert panel review and the first clinical test with 288 general hospital patients were conducted for the primary item selection. The second clinical test was performed to select the final item in 637 non-psychiatric patients. The reliability and validity of the final questionnaire were tested in 763 non-psychiatric patients, in which 211 subjects were interviewed by psychiatrists using Mini International Neuropsychiatric Interview (MINI). Multiple data analysis methods including Principal Components Analysis (PCA), Item Response Theory (IRT), and Receiver Operating Characteristic (ROC) curve were used to select items and validate the final questionnaire. Results The series selection of items resulted in a 9-item questionnaire, namely Huaxi Emotional-distress Index (HEI). The cronbach's α coefficient of HEI was 0.90. The PCA results showed a unidimensional construct. The area under the ROC curve (AUC) was 0.88 when compared with MINI interview. Using the optimal cut-off score of HEI (11/12), the sensitivity and specificity were 0.880 and 0.766, respectively. Conclusions The HEI is considered as a reliable and valid instrument for screening depression and anxiety, which may have substantial clinical value to detect patients' emotional disturbances especially in the busy non-psychiatric clinical settings in China.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Anxiety</subject><subject>Anxiety - diagnosis</subject><subject>Asian Continental Ancestry Group - psychology</subject><subject>Comorbidity</subject><subject>Depression - diagnosis</subject><subject>Depression - psychology</subject><subject>Female</subject><subject>Humans</subject><subject>Item response theory</subject><subject>Male</subject><subject>Medical screening</subject><subject>Mental depression</subject><subject>Mental disorders</subject><subject>Middle Aged</subject><subject>Psychiatric Status Rating Scales - statistics & numerical data</subject><subject>Psychiatry</subject><subject>Reproducibility of Results</subject><subject>ROC Curve</subject><subject>Sensitivity and Specificity</subject><subject>Young Adult</subject><issn>0010-440X</issn><issn>1532-8384</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqNUk1vEzEUtBCIhsBfAEtcymEXe-394lCpigKJVIkDReJmOfYLcdi1F3s3Sn4S_xK7aYvUEyfLTzPzNDMPoXeU5JTQ6uM-V64fhnBSu7wgtM4Jzwmhz9CMlqzIGtbw52gWJyTjnPy4QK9C2BNCmqbhL9FF0XBeNqyeoT-3O8AaDtC5oQc7Ymk1PsjOaDkaZ7Hb4tUkjwYve5cGssu0CaOHEPDaajjiy9Vy_eETlnixMxYC4N8ThAS10njAW-dxUB7AGvszbhoSNSmnRdIeDYwnbCy2zmZ3fowcvVFYdcYaJTscYBwjNbxGL7ayC_Dm_p2j75-Xt4tVdvP1y3pxfZMpXvIxq1raQrJXS2BbXRC2KVmlGijpJv4pZ6qtmCKl1BWHDQXNWKuYqgBUnFM2R5dn3cG7OyuiN0FB10kLbgqCNm1RF2VF2gh9_wS6d5OPGUVUS2pGWRnrmKP6jFLeheBhKwZveulPghKR2hR78dimSG0KwkXsLjLf3utPmx70I--hvgi4PgMgBnIw4EVQBqwCHaNXo9DO_MeSqycaD9H_ghOEf45EKAQR39JRpZuiFSOc8Jr9BQZtzTA</recordid><startdate>20170701</startdate><enddate>20170701</enddate><creator>Wang, Jian</creator><creator>Guo, Wan-jun</creator><creator>Zhang, Lan</creator><creator>Deng, Wei</creator><creator>Wang, Hui-yao</creator><creator>Yu, Jian-ying</creator><creator>Luo, Shan-xia</creator><creator>Huang, Ming-jin</creator><creator>Dong, Zai-quan</creator><creator>Li, Da-Jiang</creator><creator>Song, Jin-ping</creator><creator>Jiang, Yu</creator><creator>Cheng, Nan-sheng</creator><creator>Liu, Xie-he</creator><creator>Li, Tao</creator><general>Elsevier Inc</general><general>Elsevier Limited</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>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</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>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</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></search><sort><creationdate>20170701</creationdate><title>The development and validation of Huaxi Emotional-distress Index (HEI): a Chinese questionnaire for screening depression and anxiety in non-psychiatric clinical settings</title><author>Wang, Jian ; Guo, Wan-jun ; Zhang, Lan ; Deng, Wei ; Wang, Hui-yao ; Yu, Jian-ying ; Luo, Shan-xia ; Huang, Ming-jin ; Dong, Zai-quan ; Li, Da-Jiang ; Song, Jin-ping ; Jiang, Yu ; Cheng, Nan-sheng ; Liu, Xie-he ; Li, Tao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c454t-6919e84457ae3fd203b536c8e51b3fd143c963c05ad64eb1ed339c3c6eec63c13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Anxiety</topic><topic>Anxiety - diagnosis</topic><topic>Asian Continental Ancestry Group - psychology</topic><topic>Comorbidity</topic><topic>Depression - diagnosis</topic><topic>Depression - psychology</topic><topic>Female</topic><topic>Humans</topic><topic>Item response theory</topic><topic>Male</topic><topic>Medical screening</topic><topic>Mental depression</topic><topic>Mental disorders</topic><topic>Middle Aged</topic><topic>Psychiatric Status Rating Scales - statistics & numerical data</topic><topic>Psychiatry</topic><topic>Reproducibility of Results</topic><topic>ROC Curve</topic><topic>Sensitivity and Specificity</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Jian</creatorcontrib><creatorcontrib>Guo, Wan-jun</creatorcontrib><creatorcontrib>Zhang, Lan</creatorcontrib><creatorcontrib>Deng, Wei</creatorcontrib><creatorcontrib>Wang, Hui-yao</creatorcontrib><creatorcontrib>Yu, Jian-ying</creatorcontrib><creatorcontrib>Luo, Shan-xia</creatorcontrib><creatorcontrib>Huang, Ming-jin</creatorcontrib><creatorcontrib>Dong, Zai-quan</creatorcontrib><creatorcontrib>Li, Da-Jiang</creatorcontrib><creatorcontrib>Song, Jin-ping</creatorcontrib><creatorcontrib>Jiang, Yu</creatorcontrib><creatorcontrib>Cheng, Nan-sheng</creatorcontrib><creatorcontrib>Liu, Xie-he</creatorcontrib><creatorcontrib>Li, Tao</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Psychology</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Comprehensive psychiatry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Jian</au><au>Guo, Wan-jun</au><au>Zhang, Lan</au><au>Deng, Wei</au><au>Wang, Hui-yao</au><au>Yu, Jian-ying</au><au>Luo, Shan-xia</au><au>Huang, Ming-jin</au><au>Dong, Zai-quan</au><au>Li, Da-Jiang</au><au>Song, Jin-ping</au><au>Jiang, Yu</au><au>Cheng, Nan-sheng</au><au>Liu, Xie-he</au><au>Li, Tao</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The development and validation of Huaxi Emotional-distress Index (HEI): a Chinese questionnaire for screening depression and anxiety in non-psychiatric clinical settings</atitle><jtitle>Comprehensive psychiatry</jtitle><addtitle>Compr Psychiatry</addtitle><date>2017-07-01</date><risdate>2017</risdate><volume>76</volume><spage>87</spage><epage>97</epage><pages>87-97</pages><issn>0010-440X</issn><eissn>1532-8384</eissn><abstract>Abstract Background Depression and anxiety among general hospital patients are common and under-recognized in China. This study aimed towards developing a short questionnaire for screening depression and anxiety in non-psychiatric clinical settings, and to test its reliability and validity. Methods The item pool which included 35 questions about emotional distress was drafted through a comprehensive literature review. An expert panel review and the first clinical test with 288 general hospital patients were conducted for the primary item selection. The second clinical test was performed to select the final item in 637 non-psychiatric patients. The reliability and validity of the final questionnaire were tested in 763 non-psychiatric patients, in which 211 subjects were interviewed by psychiatrists using Mini International Neuropsychiatric Interview (MINI). Multiple data analysis methods including Principal Components Analysis (PCA), Item Response Theory (IRT), and Receiver Operating Characteristic (ROC) curve were used to select items and validate the final questionnaire. Results The series selection of items resulted in a 9-item questionnaire, namely Huaxi Emotional-distress Index (HEI). The cronbach's α coefficient of HEI was 0.90. The PCA results showed a unidimensional construct. The area under the ROC curve (AUC) was 0.88 when compared with MINI interview. Using the optimal cut-off score of HEI (11/12), the sensitivity and specificity were 0.880 and 0.766, respectively. Conclusions The HEI is considered as a reliable and valid instrument for screening depression and anxiety, which may have substantial clinical value to detect patients' emotional disturbances especially in the busy non-psychiatric clinical settings in China.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>28445837</pmid><doi>10.1016/j.comppsych.2017.04.001</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adolescent Adult Anxiety Anxiety - diagnosis Asian Continental Ancestry Group - psychology Comorbidity Depression - diagnosis Depression - psychology Female Humans Item response theory Male Medical screening Mental depression Mental disorders Middle Aged Psychiatric Status Rating Scales - statistics & numerical data Psychiatry Reproducibility of Results ROC Curve Sensitivity and Specificity Young Adult |
title | The development and validation of Huaxi Emotional-distress Index (HEI): a Chinese questionnaire for screening depression and anxiety in non-psychiatric clinical settings |
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