Profiles of Frequent Geriatric Users of Emergency Departments: A Latent Class Analysis
BACKGROUND/OBJECTIVES Frequent geriatric users of emergency departments (EDs) represent a complex and heterogeneous population. Identifying their specific subgroups would allow the development of interventions better customized to their needs and characteristics. Thus, this study aimed to develop pr...
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| Veröffentlicht in: | Journal of the American Geriatrics Society (JAGS) 2021-03, Vol.69 (3), p.753-761 |
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| container_title | Journal of the American Geriatrics Society (JAGS) |
| container_volume | 69 |
| creator | Dufour, Isabelle Dubuc, Nicole Chouinard, Maud‐Christine Chiu, Yohann Courteau, Josiane Hudon, Catherine |
| description | BACKGROUND/OBJECTIVES
Frequent geriatric users of emergency departments (EDs) represent a complex and heterogeneous population. Identifying their specific subgroups would allow the development of interventions better customized to their needs and characteristics. Thus, this study aimed to develop profiles of frequent geriatric ED users using the individual characteristics of patients.
DESIGN
This was a retrospective cohort study.
SETTING
Databases from the Régie de l'assurance maladie du Québec (RAMQ) were utilized. PARTICIPANTSThis study included individuals aged 65 years or older living in the community in the Province of Quebec (Canada), who consulted in an ED at least four times in the year after an ED index date (an ED visit, chosen randomly, during an index period of January 1, 2012 to December 31, 2013) and who had received a diagnosis of ambulatory care‐sensitive conditions (ACSCs) in the 2 years preceding the index date.
MEASUREMENTS
A latent class analysis was used to identify subgroups of frequent geriatric ED users according to their individual characteristics, including ACSC type, dementia, mental health disorders, cancer diagnosis, and comorbidity index.
RESULTS
The study cohort consisted of 21,393 frequent geriatric ED users. Four groups of frequent geriatric ED users were identified: people with low comorbidity (39.0%), comprising the individuals with the lowest number of physical and mental health conditions; people with cancer (32.7%); people with pulmonaryand cardiac diseases (18.1%); and people with dementia or mental health disorders (10.2%), composed of individuals with the highest proportion of common and severe mental health disease, as well as dementia. This group accounts for the highest use of overall healthcare services.
CONCLUSION
These profiles will be useful in developing customized interventions addressing the needs of each subgroup of frequent geriatric ED users. More research is needed to bridge the remaining gaps, especially regarding the healthiest frequent geriatric users of EDs. |
| doi_str_mv | 10.1111/jgs.16921 |
| format | Article |
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Frequent geriatric users of emergency departments (EDs) represent a complex and heterogeneous population. Identifying their specific subgroups would allow the development of interventions better customized to their needs and characteristics. Thus, this study aimed to develop profiles of frequent geriatric ED users using the individual characteristics of patients.
DESIGN
This was a retrospective cohort study.
SETTING
Databases from the Régie de l'assurance maladie du Québec (RAMQ) were utilized. PARTICIPANTSThis study included individuals aged 65 years or older living in the community in the Province of Quebec (Canada), who consulted in an ED at least four times in the year after an ED index date (an ED visit, chosen randomly, during an index period of January 1, 2012 to December 31, 2013) and who had received a diagnosis of ambulatory care‐sensitive conditions (ACSCs) in the 2 years preceding the index date.
MEASUREMENTS
A latent class analysis was used to identify subgroups of frequent geriatric ED users according to their individual characteristics, including ACSC type, dementia, mental health disorders, cancer diagnosis, and comorbidity index.
RESULTS
The study cohort consisted of 21,393 frequent geriatric ED users. Four groups of frequent geriatric ED users were identified: people with low comorbidity (39.0%), comprising the individuals with the lowest number of physical and mental health conditions; people with cancer (32.7%); people with pulmonaryand cardiac diseases (18.1%); and people with dementia or mental health disorders (10.2%), composed of individuals with the highest proportion of common and severe mental health disease, as well as dementia. This group accounts for the highest use of overall healthcare services.
CONCLUSION
These profiles will be useful in developing customized interventions addressing the needs of each subgroup of frequent geriatric ED users. More research is needed to bridge the remaining gaps, especially regarding the healthiest frequent geriatric users of EDs.</description><identifier>ISSN: 0002-8614</identifier><identifier>EISSN: 1532-5415</identifier><identifier>DOI: 10.1111/jgs.16921</identifier><identifier>PMID: 33156527</identifier><language>eng</language><publisher>Hoboken, USA: John Wiley & Sons, Inc</publisher><subject>aged ; Ambulatory care ; ambulatory care‐sensitive conditions ; classification ; Comorbidity ; Coronary artery disease ; Dementia ; Dementia disorders ; Diagnosis ; emergency ; Emergency medical care ; frequent use ; Geriatrics ; Heart diseases ; Latent class analysis ; Mental disorders ; Mental health</subject><ispartof>Journal of the American Geriatrics Society (JAGS), 2021-03, Vol.69 (3), p.753-761</ispartof><rights>2021 The American Geriatrics Society</rights><rights>2021 The American Geriatrics Society.</rights><rights>2021 American Geriatrics Society and Wiley Periodicals LLC</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3531-b562b591e4a01177f08de1e10e3f5dd10f851164d370959bb5361c95be0755283</citedby><cites>FETCH-LOGICAL-c3531-b562b591e4a01177f08de1e10e3f5dd10f851164d370959bb5361c95be0755283</cites><orcidid>0000-0002-6142-0442</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fjgs.16921$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fjgs.16921$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33156527$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Dufour, Isabelle</creatorcontrib><creatorcontrib>Dubuc, Nicole</creatorcontrib><creatorcontrib>Chouinard, Maud‐Christine</creatorcontrib><creatorcontrib>Chiu, Yohann</creatorcontrib><creatorcontrib>Courteau, Josiane</creatorcontrib><creatorcontrib>Hudon, Catherine</creatorcontrib><title>Profiles of Frequent Geriatric Users of Emergency Departments: A Latent Class Analysis</title><title>Journal of the American Geriatrics Society (JAGS)</title><addtitle>J Am Geriatr Soc</addtitle><description>BACKGROUND/OBJECTIVES
Frequent geriatric users of emergency departments (EDs) represent a complex and heterogeneous population. Identifying their specific subgroups would allow the development of interventions better customized to their needs and characteristics. Thus, this study aimed to develop profiles of frequent geriatric ED users using the individual characteristics of patients.
DESIGN
This was a retrospective cohort study.
SETTING
Databases from the Régie de l'assurance maladie du Québec (RAMQ) were utilized. PARTICIPANTSThis study included individuals aged 65 years or older living in the community in the Province of Quebec (Canada), who consulted in an ED at least four times in the year after an ED index date (an ED visit, chosen randomly, during an index period of January 1, 2012 to December 31, 2013) and who had received a diagnosis of ambulatory care‐sensitive conditions (ACSCs) in the 2 years preceding the index date.
MEASUREMENTS
A latent class analysis was used to identify subgroups of frequent geriatric ED users according to their individual characteristics, including ACSC type, dementia, mental health disorders, cancer diagnosis, and comorbidity index.
RESULTS
The study cohort consisted of 21,393 frequent geriatric ED users. Four groups of frequent geriatric ED users were identified: people with low comorbidity (39.0%), comprising the individuals with the lowest number of physical and mental health conditions; people with cancer (32.7%); people with pulmonaryand cardiac diseases (18.1%); and people with dementia or mental health disorders (10.2%), composed of individuals with the highest proportion of common and severe mental health disease, as well as dementia. This group accounts for the highest use of overall healthcare services.
CONCLUSION
These profiles will be useful in developing customized interventions addressing the needs of each subgroup of frequent geriatric ED users. More research is needed to bridge the remaining gaps, especially regarding the healthiest frequent geriatric users of EDs.</description><subject>aged</subject><subject>Ambulatory care</subject><subject>ambulatory care‐sensitive conditions</subject><subject>classification</subject><subject>Comorbidity</subject><subject>Coronary artery disease</subject><subject>Dementia</subject><subject>Dementia disorders</subject><subject>Diagnosis</subject><subject>emergency</subject><subject>Emergency medical care</subject><subject>frequent use</subject><subject>Geriatrics</subject><subject>Heart diseases</subject><subject>Latent class analysis</subject><subject>Mental disorders</subject><subject>Mental health</subject><issn>0002-8614</issn><issn>1532-5415</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp10E1Lw0AQBuBFFFurB_-ABLzoIXZnN5MPb6W2VSkoaL2GTTIpKUlTdxMk_97thx4E57KHefZleBm7BH4HdoarpbkDPxJwxPqAUrjoAR6zPudcuKEPXo-dGbPiHAQPw1PWkxLQRxH02cerrvOiJOPUuTPV9NnSunFmpAvV6CJ1Fob0bjepSC9pnXbOA22UbirrzL0zcuaq2X4Zl8oYZ7RWZWcKc85OclUauji8A7aYTt7Hj-78ZfY0Hs3dVKIEN0FfJBgBeYoDBEHOw4yAgJPMMcuA5yEC-F4mAx5hlCQofUgjTIgHiCKUA3azz93o2p5umrgqTEplqdZUtyYWHoZc-p4MLL3-Q1d1q-29ViGHMBBRtFW3e5Xq2hhNebzRRaV0FwOPt2XHtux4V7a1V4fENqko-5U_7Vow3IMv23D3f1L8PHvbR34DY9mGLw</recordid><startdate>202103</startdate><enddate>202103</enddate><creator>Dufour, Isabelle</creator><creator>Dubuc, Nicole</creator><creator>Chouinard, Maud‐Christine</creator><creator>Chiu, Yohann</creator><creator>Courteau, Josiane</creator><creator>Hudon, Catherine</creator><general>John Wiley & Sons, Inc</general><general>Wiley Subscription Services, Inc</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QP</scope><scope>7TK</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-6142-0442</orcidid></search><sort><creationdate>202103</creationdate><title>Profiles of Frequent Geriatric Users of Emergency Departments: A Latent Class Analysis</title><author>Dufour, Isabelle ; Dubuc, Nicole ; Chouinard, Maud‐Christine ; Chiu, Yohann ; Courteau, Josiane ; Hudon, Catherine</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3531-b562b591e4a01177f08de1e10e3f5dd10f851164d370959bb5361c95be0755283</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>aged</topic><topic>Ambulatory care</topic><topic>ambulatory care‐sensitive conditions</topic><topic>classification</topic><topic>Comorbidity</topic><topic>Coronary artery disease</topic><topic>Dementia</topic><topic>Dementia disorders</topic><topic>Diagnosis</topic><topic>emergency</topic><topic>Emergency medical care</topic><topic>frequent use</topic><topic>Geriatrics</topic><topic>Heart diseases</topic><topic>Latent class analysis</topic><topic>Mental disorders</topic><topic>Mental health</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dufour, Isabelle</creatorcontrib><creatorcontrib>Dubuc, Nicole</creatorcontrib><creatorcontrib>Chouinard, Maud‐Christine</creatorcontrib><creatorcontrib>Chiu, Yohann</creatorcontrib><creatorcontrib>Courteau, Josiane</creatorcontrib><creatorcontrib>Hudon, Catherine</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of the American Geriatrics Society (JAGS)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dufour, Isabelle</au><au>Dubuc, Nicole</au><au>Chouinard, Maud‐Christine</au><au>Chiu, Yohann</au><au>Courteau, Josiane</au><au>Hudon, Catherine</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Profiles of Frequent Geriatric Users of Emergency Departments: A Latent Class Analysis</atitle><jtitle>Journal of the American Geriatrics Society (JAGS)</jtitle><addtitle>J Am Geriatr Soc</addtitle><date>2021-03</date><risdate>2021</risdate><volume>69</volume><issue>3</issue><spage>753</spage><epage>761</epage><pages>753-761</pages><issn>0002-8614</issn><eissn>1532-5415</eissn><abstract>BACKGROUND/OBJECTIVES
Frequent geriatric users of emergency departments (EDs) represent a complex and heterogeneous population. Identifying their specific subgroups would allow the development of interventions better customized to their needs and characteristics. Thus, this study aimed to develop profiles of frequent geriatric ED users using the individual characteristics of patients.
DESIGN
This was a retrospective cohort study.
SETTING
Databases from the Régie de l'assurance maladie du Québec (RAMQ) were utilized. PARTICIPANTSThis study included individuals aged 65 years or older living in the community in the Province of Quebec (Canada), who consulted in an ED at least four times in the year after an ED index date (an ED visit, chosen randomly, during an index period of January 1, 2012 to December 31, 2013) and who had received a diagnosis of ambulatory care‐sensitive conditions (ACSCs) in the 2 years preceding the index date.
MEASUREMENTS
A latent class analysis was used to identify subgroups of frequent geriatric ED users according to their individual characteristics, including ACSC type, dementia, mental health disorders, cancer diagnosis, and comorbidity index.
RESULTS
The study cohort consisted of 21,393 frequent geriatric ED users. Four groups of frequent geriatric ED users were identified: people with low comorbidity (39.0%), comprising the individuals with the lowest number of physical and mental health conditions; people with cancer (32.7%); people with pulmonaryand cardiac diseases (18.1%); and people with dementia or mental health disorders (10.2%), composed of individuals with the highest proportion of common and severe mental health disease, as well as dementia. This group accounts for the highest use of overall healthcare services.
CONCLUSION
These profiles will be useful in developing customized interventions addressing the needs of each subgroup of frequent geriatric ED users. More research is needed to bridge the remaining gaps, especially regarding the healthiest frequent geriatric users of EDs.</abstract><cop>Hoboken, USA</cop><pub>John Wiley & Sons, Inc</pub><pmid>33156527</pmid><doi>10.1111/jgs.16921</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-6142-0442</orcidid></addata></record> |
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| language | eng |
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| source | Access via Wiley Online Library |
| subjects | aged Ambulatory care ambulatory care‐sensitive conditions classification Comorbidity Coronary artery disease Dementia Dementia disorders Diagnosis emergency Emergency medical care frequent use Geriatrics Heart diseases Latent class analysis Mental disorders Mental health |
| title | Profiles of Frequent Geriatric Users of Emergency Departments: A Latent Class Analysis |
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