Racial Disparities in Healthcare Utilization Among Individuals with Cardiometabolic Risk Factors and Comorbid Anxiety Disorder
Objective This study addresses racial/ethnic differences in adverse health care utilization among individuals with comorbid anxiety disorder and cardiometabolic syndrome (CMetS) risk factors. Methods Utilizing 2011–2015 Medical Expenditure Panel Survey (MEPS) data, logistic regression models were es...
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creator | Dark, Tyra Rust, George Sehres, Gabriella Harman, Jeffrey S. |
description | Objective
This study addresses racial/ethnic differences in adverse health care utilization among individuals with comorbid anxiety disorder and cardiometabolic syndrome (CMetS) risk factors.
Methods
Utilizing 2011–2015 Medical Expenditure Panel Survey (MEPS) data, logistic regression models were estimated to determine the likelihood of receiving CMetS-related medical treatment in the emergency department (ED) or via inpatient services and to determine if the likelihood is associated with race/ethnicity. Adjusted models controlled for age, sex, and insurance type.
Results
Significant racial-ethnic differences were observed for utilization (any emergency department and/or inpatient visit). The odds of non-Hispanic Black respondents reporting emergency department and/or inpatient utilization was 2.39 (
p
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doi_str_mv | 10.1007/s40615-020-00748-0 |
format | Article |
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This study addresses racial/ethnic differences in adverse health care utilization among individuals with comorbid anxiety disorder and cardiometabolic syndrome (CMetS) risk factors.
Methods
Utilizing 2011–2015 Medical Expenditure Panel Survey (MEPS) data, logistic regression models were estimated to determine the likelihood of receiving CMetS-related medical treatment in the emergency department (ED) or via inpatient services and to determine if the likelihood is associated with race/ethnicity. Adjusted models controlled for age, sex, and insurance type.
Results
Significant racial-ethnic differences were observed for utilization (any emergency department and/or inpatient visit). The odds of non-Hispanic Black respondents reporting emergency department and/or inpatient utilization was 2.39 (
p
< 0.05) times the odds of non-Hispanic White respondents.
Conclusion
Racial-ethnic variation in adverse healthcare utilization suggests an opportunity to improve care and outcomes for persons diagnosed with comorbid anxiety disorder and cardiometabolic syndrome. Integrated interventions could simultaneously improve mental health and facilitate CMetS disease self-management.</description><identifier>ISSN: 2197-3792</identifier><identifier>EISSN: 2196-8837</identifier><identifier>DOI: 10.1007/s40615-020-00748-0</identifier><identifier>PMID: 32277365</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Anxiety ; Anxiety disorders ; Cardiovascular disease ; Chronic illnesses ; Clinical outcomes ; Comorbidity ; Emergency medical care ; Emergency medical services ; Emergency response ; Emergency services ; Epidemiology ; Ethnic differences ; Ethnic factors ; Ethnicity ; Health care ; Health care expenditures ; Health insurance ; Health risks ; Health services ; Health services utilization ; Hospitalization ; Inpatient care ; Medical electronics ; Medical treatment ; Medicine ; Medicine & Public Health ; Mental disorders ; Mental health services ; Quality of Life Research ; Race ; Race factors ; Racial differences ; Racial inequality ; Regression analysis ; Regression models ; Risk factors ; Selfmanagement ; Social Inequality ; Social Structure ; Utilization</subject><ispartof>Journal of racial and ethnic health disparities, 2020-12, Vol.7 (6), p.1234-1240</ispartof><rights>W. Montague Cobb-NMA Health Institute 2020</rights><rights>W. Montague Cobb-NMA Health Institute 2020.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c375t-124ef6984c74464679fbf832bc3ba3a7b27b07a1947244a9c726799f90a173ed3</citedby><cites>FETCH-LOGICAL-c375t-124ef6984c74464679fbf832bc3ba3a7b27b07a1947244a9c726799f90a173ed3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s40615-020-00748-0$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2932327240?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,776,780,12719,12798,12825,21367,27321,27901,27902,30976,33721,33722,33751,35782,35783,35787,35788,41464,42533,43781,44305,44306,51294</link.rule.ids><linktorsrc>$$Uhttps://www.proquest.com/docview/2932327240?pq-origsite=primo$$EView_record_in_ProQuest$$FView_record_in_$$GProQuest</linktorsrc><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32277365$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Dark, Tyra</creatorcontrib><creatorcontrib>Rust, George</creatorcontrib><creatorcontrib>Sehres, Gabriella</creatorcontrib><creatorcontrib>Harman, Jeffrey S.</creatorcontrib><title>Racial Disparities in Healthcare Utilization Among Individuals with Cardiometabolic Risk Factors and Comorbid Anxiety Disorder</title><title>Journal of racial and ethnic health disparities</title><addtitle>J. Racial and Ethnic Health Disparities</addtitle><addtitle>J Racial Ethn Health Disparities</addtitle><description>Objective
This study addresses racial/ethnic differences in adverse health care utilization among individuals with comorbid anxiety disorder and cardiometabolic syndrome (CMetS) risk factors.
Methods
Utilizing 2011–2015 Medical Expenditure Panel Survey (MEPS) data, logistic regression models were estimated to determine the likelihood of receiving CMetS-related medical treatment in the emergency department (ED) or via inpatient services and to determine if the likelihood is associated with race/ethnicity. Adjusted models controlled for age, sex, and insurance type.
Results
Significant racial-ethnic differences were observed for utilization (any emergency department and/or inpatient visit). The odds of non-Hispanic Black respondents reporting emergency department and/or inpatient utilization was 2.39 (
p
< 0.05) times the odds of non-Hispanic White respondents.
Conclusion
Racial-ethnic variation in adverse healthcare utilization suggests an opportunity to improve care and outcomes for persons diagnosed with comorbid anxiety disorder and cardiometabolic syndrome. Integrated interventions could simultaneously improve mental health and facilitate CMetS disease self-management.</description><subject>Anxiety</subject><subject>Anxiety disorders</subject><subject>Cardiovascular disease</subject><subject>Chronic illnesses</subject><subject>Clinical outcomes</subject><subject>Comorbidity</subject><subject>Emergency medical care</subject><subject>Emergency medical services</subject><subject>Emergency response</subject><subject>Emergency services</subject><subject>Epidemiology</subject><subject>Ethnic differences</subject><subject>Ethnic factors</subject><subject>Ethnicity</subject><subject>Health care</subject><subject>Health care expenditures</subject><subject>Health insurance</subject><subject>Health risks</subject><subject>Health services</subject><subject>Health services utilization</subject><subject>Hospitalization</subject><subject>Inpatient care</subject><subject>Medical electronics</subject><subject>Medical treatment</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Mental disorders</subject><subject>Mental health services</subject><subject>Quality of Life Research</subject><subject>Race</subject><subject>Race factors</subject><subject>Racial differences</subject><subject>Racial inequality</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Risk factors</subject><subject>Selfmanagement</subject><subject>Social Inequality</subject><subject>Social Structure</subject><subject>Utilization</subject><issn>2197-3792</issn><issn>2196-8837</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>7QJ</sourceid><sourceid>BENPR</sourceid><sourceid>BHHNA</sourceid><sourceid>LD-</sourceid><sourceid>LD.</sourceid><sourceid>QXPDG</sourceid><recordid>eNp9kU1rFTEUhkNR2lL7B7qQgBs3o_mayWR5udoPKAjFrsOZTKY9dWZyTTLVuuhvN7e3VXDhKgl5zvseeAg54ewDZ0x_TIo1vK6YYFV5qrZie-RQcNNUbSv1q6e7rqQ24oAcp3THGOOiro1s9smBFEJr2dSH5PEKHMJIP2HaQMSMPlGc6bmHMd86iJ5eZxzxF2QMM11NYb6hF3OP99gvMCb6A_MtXUPsMUw-QxdGdPQK0zd6Ci6HmCjMPV2HKcQOe7qaf6LPD9u6EHsf35DXQ4nxx8_nEbk-_fx1fV5dfjm7WK8uKyd1nSsulB8a0yqnlWpUo83QDa0UnZMdSNCd0B3TwI3SQikwTovCmMEw4Fr6Xh6R97vcTQzfF5-ynTA5P44w-7AkK2TbtkJx2RT03T_oXVjiXLazwkghRalghRI7ysWQUvSD3UScID5YzuxWkN0JskWQfRJkt0Nvn6OXbvL9n5EXHQWQOyCVr_nGx7_d_4n9DRdGm1k</recordid><startdate>20201201</startdate><enddate>20201201</enddate><creator>Dark, Tyra</creator><creator>Rust, George</creator><creator>Sehres, Gabriella</creator><creator>Harman, Jeffrey S.</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>0-V</scope><scope>3V.</scope><scope>7QJ</scope><scope>7RV</scope><scope>7U3</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHHNA</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>HEHIP</scope><scope>K9.</scope><scope>KB0</scope><scope>LD-</scope><scope>LD.</scope><scope>M0S</scope><scope>M2S</scope><scope>NAPCQ</scope><scope>PATMY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope><scope>QXPDG</scope><scope>7X8</scope></search><sort><creationdate>20201201</creationdate><title>Racial Disparities in Healthcare Utilization Among Individuals with Cardiometabolic Risk Factors and Comorbid Anxiety Disorder</title><author>Dark, Tyra ; Rust, George ; Sehres, Gabriella ; Harman, Jeffrey S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c375t-124ef6984c74464679fbf832bc3ba3a7b27b07a1947244a9c726799f90a173ed3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Anxiety</topic><topic>Anxiety disorders</topic><topic>Cardiovascular disease</topic><topic>Chronic illnesses</topic><topic>Clinical outcomes</topic><topic>Comorbidity</topic><topic>Emergency medical care</topic><topic>Emergency medical services</topic><topic>Emergency response</topic><topic>Emergency services</topic><topic>Epidemiology</topic><topic>Ethnic differences</topic><topic>Ethnic factors</topic><topic>Ethnicity</topic><topic>Health care</topic><topic>Health care expenditures</topic><topic>Health insurance</topic><topic>Health risks</topic><topic>Health services</topic><topic>Health services utilization</topic><topic>Hospitalization</topic><topic>Inpatient care</topic><topic>Medical electronics</topic><topic>Medical treatment</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Mental disorders</topic><topic>Mental health services</topic><topic>Quality of Life Research</topic><topic>Race</topic><topic>Race factors</topic><topic>Racial differences</topic><topic>Racial inequality</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Risk factors</topic><topic>Selfmanagement</topic><topic>Social Inequality</topic><topic>Social Structure</topic><topic>Utilization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dark, Tyra</creatorcontrib><creatorcontrib>Rust, George</creatorcontrib><creatorcontrib>Sehres, Gabriella</creatorcontrib><creatorcontrib>Harman, Jeffrey S.</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>ProQuest Central (Corporate)</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>Nursing & Allied Health Database</collection><collection>Social Services Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Sociological Abstracts</collection><collection>Natural Science Collection</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>SciTech Premium Collection</collection><collection>Sociology Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Ethnic NewsWatch</collection><collection>Ethnic NewsWatch (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Sociology Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Environmental Science 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>Environmental Science Collection</collection><collection>Diversity Collection</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of racial and ethnic health disparities</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Dark, Tyra</au><au>Rust, George</au><au>Sehres, Gabriella</au><au>Harman, Jeffrey S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Racial Disparities in Healthcare Utilization Among Individuals with Cardiometabolic Risk Factors and Comorbid Anxiety Disorder</atitle><jtitle>Journal of racial and ethnic health disparities</jtitle><stitle>J. Racial and Ethnic Health Disparities</stitle><addtitle>J Racial Ethn Health Disparities</addtitle><date>2020-12-01</date><risdate>2020</risdate><volume>7</volume><issue>6</issue><spage>1234</spage><epage>1240</epage><pages>1234-1240</pages><issn>2197-3792</issn><eissn>2196-8837</eissn><abstract>Objective
This study addresses racial/ethnic differences in adverse health care utilization among individuals with comorbid anxiety disorder and cardiometabolic syndrome (CMetS) risk factors.
Methods
Utilizing 2011–2015 Medical Expenditure Panel Survey (MEPS) data, logistic regression models were estimated to determine the likelihood of receiving CMetS-related medical treatment in the emergency department (ED) or via inpatient services and to determine if the likelihood is associated with race/ethnicity. Adjusted models controlled for age, sex, and insurance type.
Results
Significant racial-ethnic differences were observed for utilization (any emergency department and/or inpatient visit). The odds of non-Hispanic Black respondents reporting emergency department and/or inpatient utilization was 2.39 (
p
< 0.05) times the odds of non-Hispanic White respondents.
Conclusion
Racial-ethnic variation in adverse healthcare utilization suggests an opportunity to improve care and outcomes for persons diagnosed with comorbid anxiety disorder and cardiometabolic syndrome. Integrated interventions could simultaneously improve mental health and facilitate CMetS disease self-management.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>32277365</pmid><doi>10.1007/s40615-020-00748-0</doi><tpages>7</tpages></addata></record> |
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ispartof | Journal of racial and ethnic health disparities, 2020-12, Vol.7 (6), p.1234-1240 |
issn | 2197-3792 2196-8837 |
language | eng |
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source | Ethnic NewsWatch (Alumni) |
subjects | Anxiety Anxiety disorders Cardiovascular disease Chronic illnesses Clinical outcomes Comorbidity Emergency medical care Emergency medical services Emergency response Emergency services Epidemiology Ethnic differences Ethnic factors Ethnicity Health care Health care expenditures Health insurance Health risks Health services Health services utilization Hospitalization Inpatient care Medical electronics Medical treatment Medicine Medicine & Public Health Mental disorders Mental health services Quality of Life Research Race Race factors Racial differences Racial inequality Regression analysis Regression models Risk factors Selfmanagement Social Inequality Social Structure Utilization |
title | Racial Disparities in Healthcare Utilization Among Individuals with Cardiometabolic Risk Factors and Comorbid Anxiety Disorder |
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