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Minding the treatment gap: results of the Singapore Mental Health Study
Purpose To establish the 12-month treatment gap and its associated factors among adults with mental disorders in the Singapore resident population using data from the second Singapore Mental Health Study and to examine the changes since the last mental health survey conducted in 2010. Methods 6126 r...
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Published in: | Social Psychiatry and Psychiatric Epidemiology 2020-11, Vol.55 (11), p.1415-1424 |
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container_title | Social Psychiatry and Psychiatric Epidemiology |
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creator | Subramaniam, Mythily Abdin, Edimansyah Vaingankar, Janhavi Ajit Shafie, Saleha Chua, Hong Choon Tan, Weng Mooi Tan, Kelvin Bryan Verma, Swapna Heng, Derrick Chong, Siow Ann |
description | Purpose
To establish the 12-month treatment gap and its associated factors among adults with mental disorders in the Singapore resident population using data from the second Singapore Mental Health Study and to examine the changes since the last mental health survey conducted in 2010.
Methods
6126 respondents were administered selected modules of the Composite International Diagnostic Interview, to assess major depressive disorder (MDD), dysthymia, bipolar disorder, generalized anxiety disorder (GAD), obsessive compulsive disorder (OCD) and alcohol use disorder (AUD) (which included alcohol abuse and dependence). Past year treatment gap was defined as the absolute difference between the prevalence of a particular mental disorder in the past 12 months preceding the interview and those who had received treatment for that disorder.
Results
The prevalence of overall 12-month treatment gap in this population was high (78.6%). A multiple logistic regression analysis revealed significantly higher odds of treatment gap among those diagnosed with OCD (compared to those with MDD) and in those with a comorbid chronic physical disorder; while those who had primary education and below and those who were unemployed were less likely to have a treatment gap as compared to those with post-secondary education and those employed, respectively.
Conclusions
The high treatment gap in the population is concerning and highlights the need to promote help-seeking and uptake of treatment. Given the unique demographic characteristics, i.e., those with higher education and employed were more likely not to seek treatment, targeted interventions in the educational and workplace settings should be implemented. |
doi_str_mv | 10.1007/s00127-019-01748-0 |
format | article |
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To establish the 12-month treatment gap and its associated factors among adults with mental disorders in the Singapore resident population using data from the second Singapore Mental Health Study and to examine the changes since the last mental health survey conducted in 2010.
Methods
6126 respondents were administered selected modules of the Composite International Diagnostic Interview, to assess major depressive disorder (MDD), dysthymia, bipolar disorder, generalized anxiety disorder (GAD), obsessive compulsive disorder (OCD) and alcohol use disorder (AUD) (which included alcohol abuse and dependence). Past year treatment gap was defined as the absolute difference between the prevalence of a particular mental disorder in the past 12 months preceding the interview and those who had received treatment for that disorder.
Results
The prevalence of overall 12-month treatment gap in this population was high (78.6%). A multiple logistic regression analysis revealed significantly higher odds of treatment gap among those diagnosed with OCD (compared to those with MDD) and in those with a comorbid chronic physical disorder; while those who had primary education and below and those who were unemployed were less likely to have a treatment gap as compared to those with post-secondary education and those employed, respectively.
Conclusions
The high treatment gap in the population is concerning and highlights the need to promote help-seeking and uptake of treatment. Given the unique demographic characteristics, i.e., those with higher education and employed were more likely not to seek treatment, targeted interventions in the educational and workplace settings should be implemented.</description><identifier>ISSN: 0933-7954</identifier><identifier>EISSN: 1433-9285</identifier><identifier>DOI: 10.1007/s00127-019-01748-0</identifier><identifier>PMID: 31317246</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Alcohol ; Alcohol abuse ; Alcohol use ; Analysis ; Anxiety ; Bipolar disorder ; Care and treatment ; Demographics ; Dependence ; Diagnostic systems ; Education ; Epidemiology ; Health surveys ; Medicine ; Medicine & Public Health ; Mental disorders ; Mental health ; Obsessive compulsive disorder ; Original Paper ; Psychiatry ; Regression analysis ; Substance abuse ; Surveys</subject><ispartof>Social Psychiatry and Psychiatric Epidemiology, 2020-11, Vol.55 (11), p.1415-1424</ispartof><rights>The Author(s) 2019</rights><rights>COPYRIGHT 2020 Springer</rights><rights>Social Psychiatry and Psychiatric Epidemiology is a copyright of Springer, (2019). All Rights Reserved. © 2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c569t-fccd12b01bc9e08a38aa4fa5bc9dfa6b77494c86b158c90003250aaa127562653</citedby><cites>FETCH-LOGICAL-c569t-fccd12b01bc9e08a38aa4fa5bc9dfa6b77494c86b158c90003250aaa127562653</cites><orcidid>0000-0003-4530-1096</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,315,786,790,891,27957,27958</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31317246$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Subramaniam, Mythily</creatorcontrib><creatorcontrib>Abdin, Edimansyah</creatorcontrib><creatorcontrib>Vaingankar, Janhavi Ajit</creatorcontrib><creatorcontrib>Shafie, Saleha</creatorcontrib><creatorcontrib>Chua, Hong Choon</creatorcontrib><creatorcontrib>Tan, Weng Mooi</creatorcontrib><creatorcontrib>Tan, Kelvin Bryan</creatorcontrib><creatorcontrib>Verma, Swapna</creatorcontrib><creatorcontrib>Heng, Derrick</creatorcontrib><creatorcontrib>Chong, Siow Ann</creatorcontrib><title>Minding the treatment gap: results of the Singapore Mental Health Study</title><title>Social Psychiatry and Psychiatric Epidemiology</title><addtitle>Soc Psychiatry Psychiatr Epidemiol</addtitle><addtitle>Soc Psychiatry Psychiatr Epidemiol</addtitle><description>Purpose
To establish the 12-month treatment gap and its associated factors among adults with mental disorders in the Singapore resident population using data from the second Singapore Mental Health Study and to examine the changes since the last mental health survey conducted in 2010.
Methods
6126 respondents were administered selected modules of the Composite International Diagnostic Interview, to assess major depressive disorder (MDD), dysthymia, bipolar disorder, generalized anxiety disorder (GAD), obsessive compulsive disorder (OCD) and alcohol use disorder (AUD) (which included alcohol abuse and dependence). Past year treatment gap was defined as the absolute difference between the prevalence of a particular mental disorder in the past 12 months preceding the interview and those who had received treatment for that disorder.
Results
The prevalence of overall 12-month treatment gap in this population was high (78.6%). A multiple logistic regression analysis revealed significantly higher odds of treatment gap among those diagnosed with OCD (compared to those with MDD) and in those with a comorbid chronic physical disorder; while those who had primary education and below and those who were unemployed were less likely to have a treatment gap as compared to those with post-secondary education and those employed, respectively.
Conclusions
The high treatment gap in the population is concerning and highlights the need to promote help-seeking and uptake of treatment. Given the unique demographic characteristics, i.e., those with higher education and employed were more likely not to seek treatment, targeted interventions in the educational and workplace settings should be implemented.</description><subject>Alcohol</subject><subject>Alcohol abuse</subject><subject>Alcohol use</subject><subject>Analysis</subject><subject>Anxiety</subject><subject>Bipolar disorder</subject><subject>Care and treatment</subject><subject>Demographics</subject><subject>Dependence</subject><subject>Diagnostic systems</subject><subject>Education</subject><subject>Epidemiology</subject><subject>Health surveys</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Mental disorders</subject><subject>Mental health</subject><subject>Obsessive compulsive disorder</subject><subject>Original Paper</subject><subject>Psychiatry</subject><subject>Regression analysis</subject><subject>Substance 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Choon</creator><creator>Tan, Weng Mooi</creator><creator>Tan, Kelvin Bryan</creator><creator>Verma, Swapna</creator><creator>Heng, Derrick</creator><creator>Chong, Siow Ann</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><general>Springer Nature 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the treatment gap: results of the Singapore Mental Health Study</title><author>Subramaniam, Mythily ; Abdin, Edimansyah ; Vaingankar, Janhavi Ajit ; Shafie, Saleha ; Chua, Hong Choon ; Tan, Weng Mooi ; Tan, Kelvin Bryan ; Verma, Swapna ; Heng, Derrick ; Chong, Siow Ann</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c569t-fccd12b01bc9e08a38aa4fa5bc9dfa6b77494c86b158c90003250aaa127562653</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Alcohol</topic><topic>Alcohol abuse</topic><topic>Alcohol use</topic><topic>Analysis</topic><topic>Anxiety</topic><topic>Bipolar disorder</topic><topic>Care and treatment</topic><topic>Demographics</topic><topic>Dependence</topic><topic>Diagnostic systems</topic><topic>Education</topic><topic>Epidemiology</topic><topic>Health surveys</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Mental disorders</topic><topic>Mental health</topic><topic>Obsessive compulsive disorder</topic><topic>Original Paper</topic><topic>Psychiatry</topic><topic>Regression analysis</topic><topic>Substance abuse</topic><topic>Surveys</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Subramaniam, Mythily</creatorcontrib><creatorcontrib>Abdin, Edimansyah</creatorcontrib><creatorcontrib>Vaingankar, Janhavi Ajit</creatorcontrib><creatorcontrib>Shafie, Saleha</creatorcontrib><creatorcontrib>Chua, Hong Choon</creatorcontrib><creatorcontrib>Tan, Weng Mooi</creatorcontrib><creatorcontrib>Tan, Kelvin Bryan</creatorcontrib><creatorcontrib>Verma, Swapna</creatorcontrib><creatorcontrib>Heng, Derrick</creatorcontrib><creatorcontrib>Chong, Siow Ann</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical 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Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Social Psychiatry and Psychiatric Epidemiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Subramaniam, Mythily</au><au>Abdin, Edimansyah</au><au>Vaingankar, Janhavi Ajit</au><au>Shafie, Saleha</au><au>Chua, Hong Choon</au><au>Tan, Weng Mooi</au><au>Tan, Kelvin Bryan</au><au>Verma, Swapna</au><au>Heng, Derrick</au><au>Chong, Siow Ann</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Minding the treatment gap: results of the Singapore Mental Health Study</atitle><jtitle>Social Psychiatry and Psychiatric Epidemiology</jtitle><stitle>Soc Psychiatry Psychiatr Epidemiol</stitle><addtitle>Soc Psychiatry Psychiatr Epidemiol</addtitle><date>2020-11-01</date><risdate>2020</risdate><volume>55</volume><issue>11</issue><spage>1415</spage><epage>1424</epage><pages>1415-1424</pages><issn>0933-7954</issn><eissn>1433-9285</eissn><notes>ObjectType-Article-1</notes><notes>SourceType-Scholarly Journals-1</notes><notes>ObjectType-Feature-2</notes><notes>content type line 23</notes><abstract>Purpose
To establish the 12-month treatment gap and its associated factors among adults with mental disorders in the Singapore resident population using data from the second Singapore Mental Health Study and to examine the changes since the last mental health survey conducted in 2010.
Methods
6126 respondents were administered selected modules of the Composite International Diagnostic Interview, to assess major depressive disorder (MDD), dysthymia, bipolar disorder, generalized anxiety disorder (GAD), obsessive compulsive disorder (OCD) and alcohol use disorder (AUD) (which included alcohol abuse and dependence). Past year treatment gap was defined as the absolute difference between the prevalence of a particular mental disorder in the past 12 months preceding the interview and those who had received treatment for that disorder.
Results
The prevalence of overall 12-month treatment gap in this population was high (78.6%). A multiple logistic regression analysis revealed significantly higher odds of treatment gap among those diagnosed with OCD (compared to those with MDD) and in those with a comorbid chronic physical disorder; while those who had primary education and below and those who were unemployed were less likely to have a treatment gap as compared to those with post-secondary education and those employed, respectively.
Conclusions
The high treatment gap in the population is concerning and highlights the need to promote help-seeking and uptake of treatment. Given the unique demographic characteristics, i.e., those with higher education and employed were more likely not to seek treatment, targeted interventions in the educational and workplace settings should be implemented.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>31317246</pmid><doi>10.1007/s00127-019-01748-0</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0003-4530-1096</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Alcohol Alcohol abuse Alcohol use Analysis Anxiety Bipolar disorder Care and treatment Demographics Dependence Diagnostic systems Education Epidemiology Health surveys Medicine Medicine & Public Health Mental disorders Mental health Obsessive compulsive disorder Original Paper Psychiatry Regression analysis Substance abuse Surveys |
title | Minding the treatment gap: results of the Singapore Mental Health Study |
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