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The effect of severity of depressive disorder on economic burden in a university hospital in Singapore
Background: Depressive disorder is treatable but costly, thus influencing quality of life of people. Aim: Determine direct and indirect costs incurred by depressive disorder in Singapore. Methods: A 1-year prospective naturalistic study was conducted in a university mood disorder center between 2007...
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Published in: | Expert review of pharmacoeconomics & outcomes research 2013-08, Vol.13 (4), p.549-559 |
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creator | Ho, Roger CM Mak, Kwok-Kei Chua, Anna NC Ho, Cyrus SH Mak, Anselm |
description | Background: Depressive disorder is treatable but costly, thus influencing quality of life of people. Aim: Determine direct and indirect costs incurred by depressive disorder in Singapore. Methods: A 1-year prospective naturalistic study was conducted in a university mood disorder center between 2007 and 2008. Patients with primary International Classification of Disease-10 diagnosis of depressive disorder were recruited. Disease costs between mild, moderate and severe depression, and cost predictors were analyzed and determined. Results: Forty nine patients completed the study. Mean annual total costs per patient were US$7638. Indirect costs (81%) dominated the total costs. Approximately 50% of indirect costs were associated with loss of productivity and unemployment. Higher education level, higher mean Hamilton Rating Scale for Depression score and number of suicide attempts were independent variables associated with increased direct costs while mean Hamilton Rating Scale for Depression scale score was an independent variable for indirect costs. Conclusion: Medical cost saving strategies should focus on indirect costs. |
doi_str_mv | 10.1586/14737167.2013.815409 |
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Aim: Determine direct and indirect costs incurred by depressive disorder in Singapore. Methods: A 1-year prospective naturalistic study was conducted in a university mood disorder center between 2007 and 2008. Patients with primary International Classification of Disease-10 diagnosis of depressive disorder were recruited. Disease costs between mild, moderate and severe depression, and cost predictors were analyzed and determined. Results: Forty nine patients completed the study. Mean annual total costs per patient were US$7638. Indirect costs (81%) dominated the total costs. Approximately 50% of indirect costs were associated with loss of productivity and unemployment. Higher education level, higher mean Hamilton Rating Scale for Depression score and number of suicide attempts were independent variables associated with increased direct costs while mean Hamilton Rating Scale for Depression scale score was an independent variable for indirect costs. Conclusion: Medical cost saving strategies should focus on indirect costs.</description><identifier>ISSN: 1473-7167</identifier><identifier>EISSN: 1744-8379</identifier><identifier>DOI: 10.1586/14737167.2013.815409</identifier><language>eng</language><publisher>London: Informa Healthcare</publisher><subject>Accuracy ; Antidepressants ; asians ; Care and treatment ; Costs ; Depression, Mental ; depressive disorder ; Disease ; Evaluation ; Health care expenditures ; Hospitals ; Medical care, Cost of ; medical costs ; Medical economics ; Mental depression ; Mental disorders ; Mental health ; Mental health care ; Patients ; Productivity ; Psychiatrists ; Sick leave</subject><ispartof>Expert review of pharmacoeconomics & outcomes research, 2013-08, Vol.13 (4), p.549-559</ispartof><rights>2013 Informa UK Ltd 2013</rights><rights>COPYRIGHT 2013 Expert Reviews Ltd.</rights><rights>2013 2013 Informa UK Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c513t-10f11bb4983babb94a86b2390d073c2fe6be2bbc5a25219a7c6a44d0f033a8ab3</citedby><cites>FETCH-LOGICAL-c513t-10f11bb4983babb94a86b2390d073c2fe6be2bbc5a25219a7c6a44d0f033a8ab3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1428041177/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1428041177?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,11688,27924,27925,36060,44363,74895</link.rule.ids></links><search><creatorcontrib>Ho, Roger CM</creatorcontrib><creatorcontrib>Mak, Kwok-Kei</creatorcontrib><creatorcontrib>Chua, Anna NC</creatorcontrib><creatorcontrib>Ho, Cyrus SH</creatorcontrib><creatorcontrib>Mak, Anselm</creatorcontrib><title>The effect of severity of depressive disorder on economic burden in a university hospital in Singapore</title><title>Expert review of pharmacoeconomics & outcomes research</title><description>Background: Depressive disorder is treatable but costly, thus influencing quality of life of people. Aim: Determine direct and indirect costs incurred by depressive disorder in Singapore. Methods: A 1-year prospective naturalistic study was conducted in a university mood disorder center between 2007 and 2008. Patients with primary International Classification of Disease-10 diagnosis of depressive disorder were recruited. Disease costs between mild, moderate and severe depression, and cost predictors were analyzed and determined. Results: Forty nine patients completed the study. Mean annual total costs per patient were US$7638. Indirect costs (81%) dominated the total costs. Approximately 50% of indirect costs were associated with loss of productivity and unemployment. Higher education level, higher mean Hamilton Rating Scale for Depression score and number of suicide attempts were independent variables associated with increased direct costs while mean Hamilton Rating Scale for Depression scale score was an independent variable for indirect costs. Conclusion: Medical cost saving strategies should focus on indirect costs.</description><subject>Accuracy</subject><subject>Antidepressants</subject><subject>asians</subject><subject>Care and treatment</subject><subject>Costs</subject><subject>Depression, Mental</subject><subject>depressive disorder</subject><subject>Disease</subject><subject>Evaluation</subject><subject>Health care expenditures</subject><subject>Hospitals</subject><subject>Medical care, Cost of</subject><subject>medical costs</subject><subject>Medical economics</subject><subject>Mental depression</subject><subject>Mental disorders</subject><subject>Mental health</subject><subject>Mental health care</subject><subject>Patients</subject><subject>Productivity</subject><subject>Psychiatrists</subject><subject>Sick leave</subject><issn>1473-7167</issn><issn>1744-8379</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>M0C</sourceid><recordid>eNqFkU9r3DAQxU1poWmSb9CDoGdvNZZs2ZeWEPonEOghyVmM5FFWwSu5kjdlv31ktqUNlBYdNMz83huGV1VvgW-g7bv3IJVQ0KlNw0FsemglH15UJ6CkrHuhhpelLki9Mq-rNzk_cC7k0LYnlbvdEiPnyC4sOpbpkZJfDms90pwoZ_9IbPQ5ppESi4GRjSHuvGVmX1qB-cCQ7UPBUl6V25hnv-C0Dm58uMc5JjqrXjmcMp3__E-ru8-fbi-_1tffvlxdXlzXtgWx1MAdgDFy6IVBYwaJfWcaMfCRK2EbR52hxhjbYtM2MKCyHUo5cseFwB6NOK3eHX3nFL_vKS_6Ie5TKCs1yKbnEkCp39Q9TqR9cHFJaHc-W30hJAyq73oo1OYvVHkjlfNjIOdL_5lAHgU2xZwTOT0nv8N00MD1GpT-FZReg9LHoIrs41G2rkg7_BHTNOoFD1NMLmGwPmvxH4cPzxy2hNOytZjoj_P_ZfAE7kStDQ</recordid><startdate>20130801</startdate><enddate>20130801</enddate><creator>Ho, Roger CM</creator><creator>Mak, Kwok-Kei</creator><creator>Chua, Anna NC</creator><creator>Ho, Cyrus SH</creator><creator>Mak, Anselm</creator><general>Informa Healthcare</general><general>Taylor & Francis</general><general>Expert Reviews Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88E</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>K60</scope><scope>K6~</scope><scope>K9.</scope><scope>KB0</scope><scope>L.-</scope><scope>M0C</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope></search><sort><creationdate>20130801</creationdate><title>The effect of severity of depressive disorder on economic burden in a university hospital in Singapore</title><author>Ho, Roger CM ; Mak, Kwok-Kei ; Chua, Anna NC ; Ho, Cyrus SH ; Mak, Anselm</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c513t-10f11bb4983babb94a86b2390d073c2fe6be2bbc5a25219a7c6a44d0f033a8ab3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Accuracy</topic><topic>Antidepressants</topic><topic>asians</topic><topic>Care and treatment</topic><topic>Costs</topic><topic>Depression, Mental</topic><topic>depressive disorder</topic><topic>Disease</topic><topic>Evaluation</topic><topic>Health care expenditures</topic><topic>Hospitals</topic><topic>Medical care, Cost of</topic><topic>medical costs</topic><topic>Medical economics</topic><topic>Mental depression</topic><topic>Mental disorders</topic><topic>Mental health</topic><topic>Mental health care</topic><topic>Patients</topic><topic>Productivity</topic><topic>Psychiatrists</topic><topic>Sick leave</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ho, Roger CM</creatorcontrib><creatorcontrib>Mak, Kwok-Kei</creatorcontrib><creatorcontrib>Chua, Anna NC</creatorcontrib><creatorcontrib>Ho, Cyrus SH</creatorcontrib><creatorcontrib>Mak, Anselm</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest Business Premium Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Business Premium Collection (Alumni)</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Global</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</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 Basic</collection><jtitle>Expert review of pharmacoeconomics & outcomes research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ho, Roger CM</au><au>Mak, Kwok-Kei</au><au>Chua, Anna NC</au><au>Ho, Cyrus SH</au><au>Mak, Anselm</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The effect of severity of depressive disorder on economic burden in a university hospital in Singapore</atitle><jtitle>Expert review of pharmacoeconomics & outcomes research</jtitle><date>2013-08-01</date><risdate>2013</risdate><volume>13</volume><issue>4</issue><spage>549</spage><epage>559</epage><pages>549-559</pages><issn>1473-7167</issn><eissn>1744-8379</eissn><abstract>Background: Depressive disorder is treatable but costly, thus influencing quality of life of people. Aim: Determine direct and indirect costs incurred by depressive disorder in Singapore. Methods: A 1-year prospective naturalistic study was conducted in a university mood disorder center between 2007 and 2008. Patients with primary International Classification of Disease-10 diagnosis of depressive disorder were recruited. Disease costs between mild, moderate and severe depression, and cost predictors were analyzed and determined. Results: Forty nine patients completed the study. Mean annual total costs per patient were US$7638. Indirect costs (81%) dominated the total costs. Approximately 50% of indirect costs were associated with loss of productivity and unemployment. Higher education level, higher mean Hamilton Rating Scale for Depression score and number of suicide attempts were independent variables associated with increased direct costs while mean Hamilton Rating Scale for Depression scale score was an independent variable for indirect costs. Conclusion: Medical cost saving strategies should focus on indirect costs.</abstract><cop>London</cop><pub>Informa Healthcare</pub><doi>10.1586/14737167.2013.815409</doi><tpages>11</tpages></addata></record> |
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subjects | Accuracy Antidepressants asians Care and treatment Costs Depression, Mental depressive disorder Disease Evaluation Health care expenditures Hospitals Medical care, Cost of medical costs Medical economics Mental depression Mental disorders Mental health Mental health care Patients Productivity Psychiatrists Sick leave |
title | The effect of severity of depressive disorder on economic burden in a university hospital in Singapore |
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