Patient Factors Associated with Different Hospice Programs in Korea: Analyzing Healthcare Big Data
The Korean government has implemented a pilot project that introduces a new type of hospice care program called "Consultative Hospice Care" (COHC) since August 2017. The COHC is a new type of hospice program for terminally ill patients in acute care wards, which is different from the Indep...
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Veröffentlicht in: | International journal of environmental research and public health 2022-01, Vol.19 (3), p.1566 |
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description | The Korean government has implemented a pilot project that introduces a new type of hospice care program called "Consultative Hospice Care" (COHC) since August 2017. The COHC is a new type of hospice program for terminally ill patients in acute care wards, which is different from the Independent Hospice Unit (IHU) care. This study aimed to compare the characteristics of two groups of hospice patients: COHC care only and both IHU care and COHC groups. Healthcare claim data from 1 April 2018 to 31 March 2020 were retrieved from the HIRA data warehouse system. The main outcome variable was patients receiving COHC only or both COHC and IHU care. The total number of hospice patients was 6482. A multivariate logistic regression analysis was used. Of 6482 hospice care recipients, 3789 (58.5%) received both COHC and IHU care. Those who received both COHC and IHU care were significantly associated with several factors: period from the first evaluation to death (adjusted odds ratio (aOR), 1.026; 95% confidence internal (CI), 1.024-1.029;
< 0.0001), disease severity measured by the Charlson Comorbidity Index (aOR, 1.032; CI, 1.017-1.047;
< 0.0001), consciousness (aOR, 3.654; CI, 3.269-4.085;
< 0.0001), and awareness of end-stage disease (aOR, 1.422; CI, 1.226-1.650;
< 0.0001). The COHC program had a critical role in hospice delivery to terminally ill patients. Policymakers on hospice care need to establish plans that promote efficient hospice care delivery systems. |
doi_str_mv | 10.3390/ijerph19031566 |
format | Article |
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< 0.0001), disease severity measured by the Charlson Comorbidity Index (aOR, 1.032; CI, 1.017-1.047;
< 0.0001), consciousness (aOR, 3.654; CI, 3.269-4.085;
< 0.0001), and awareness of end-stage disease (aOR, 1.422; CI, 1.226-1.650;
< 0.0001). The COHC program had a critical role in hospice delivery to terminally ill patients. Policymakers on hospice care need to establish plans that promote efficient hospice care delivery systems.</description><identifier>ISSN: 1660-4601</identifier><identifier>ISSN: 1661-7827</identifier><identifier>EISSN: 1660-4601</identifier><identifier>DOI: 10.3390/ijerph19031566</identifier><identifier>PMID: 35162586</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Big Data ; Cancer ; Consciousness ; Delivery of Health Care ; Disease ; Health care ; Health insurance ; Hospice Care ; Hospices ; Hospitals ; Humans ; Length of stay ; Palliative care ; Patients ; Pilot Projects ; Registration ; Regression analysis ; Republic of Korea ; Terminal illnesses ; Variables</subject><ispartof>International journal of environmental research and public health, 2022-01, Vol.19 (3), p.1566</ispartof><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2022 by the authors. 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c418t-c879a0dbb75e4753a4c42cf49ac510141394806dd03ea8e9d375c88d0d1129593</citedby><cites>FETCH-LOGICAL-c418t-c879a0dbb75e4753a4c42cf49ac510141394806dd03ea8e9d375c88d0d1129593</cites><orcidid>0000-0002-7574-4165 ; 0000-0002-8712-8394 ; 0000-0002-7368-7312 ; 0000-0002-6657-3624</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8834925/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8834925/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35162586$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Park, Young-Taek</creatorcontrib><creatorcontrib>Kim, Daekyun</creatorcontrib><creatorcontrib>Koh, Su-Jin</creatorcontrib><creatorcontrib>Kim, Yeon Sook</creatorcontrib><creatorcontrib>Kim, Sang Mi</creatorcontrib><title>Patient Factors Associated with Different Hospice Programs in Korea: Analyzing Healthcare Big Data</title><title>International journal of environmental research and public health</title><addtitle>Int J Environ Res Public Health</addtitle><description>The Korean government has implemented a pilot project that introduces a new type of hospice care program called "Consultative Hospice Care" (COHC) since August 2017. The COHC is a new type of hospice program for terminally ill patients in acute care wards, which is different from the Independent Hospice Unit (IHU) care. This study aimed to compare the characteristics of two groups of hospice patients: COHC care only and both IHU care and COHC groups. Healthcare claim data from 1 April 2018 to 31 March 2020 were retrieved from the HIRA data warehouse system. The main outcome variable was patients receiving COHC only or both COHC and IHU care. The total number of hospice patients was 6482. A multivariate logistic regression analysis was used. Of 6482 hospice care recipients, 3789 (58.5%) received both COHC and IHU care. Those who received both COHC and IHU care were significantly associated with several factors: period from the first evaluation to death (adjusted odds ratio (aOR), 1.026; 95% confidence internal (CI), 1.024-1.029;
< 0.0001), disease severity measured by the Charlson Comorbidity Index (aOR, 1.032; CI, 1.017-1.047;
< 0.0001), consciousness (aOR, 3.654; CI, 3.269-4.085;
< 0.0001), and awareness of end-stage disease (aOR, 1.422; CI, 1.226-1.650;
< 0.0001). The COHC program had a critical role in hospice delivery to terminally ill patients. Policymakers on hospice care need to establish plans that promote efficient hospice care delivery systems.</description><subject>Big Data</subject><subject>Cancer</subject><subject>Consciousness</subject><subject>Delivery of Health Care</subject><subject>Disease</subject><subject>Health care</subject><subject>Health insurance</subject><subject>Hospice Care</subject><subject>Hospices</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Length of stay</subject><subject>Palliative care</subject><subject>Patients</subject><subject>Pilot Projects</subject><subject>Registration</subject><subject>Regression analysis</subject><subject>Republic of Korea</subject><subject>Terminal illnesses</subject><subject>Variables</subject><issn>1660-4601</issn><issn>1661-7827</issn><issn>1660-4601</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNpdkUlPIzEQhS0EGpaZK8eRJS5zCdjtJfYckDJsQSANBzhbFXd14qjTDrYDgl9Pswo4VUn11dOreoTscrYvhGUHYY5pOeOWCa60XiNbXGs2kJrx9U_9JtnOec6YMFLbH2RTKK4rZfQWmVxBCdgVegq-xJTpKOfoAxSs6X0oM3ocmgbTMzGOeRk80qsUpwkWmYaOXsSE8JeOOmgfHkM3pWOEtsw8JKT_wpQeQ4GfZKOBNuOvt7pDbk5Pro_Gg8v_Z-dHo8uBl9yUgTdDC6yeTIYK5VAJkF5WvpEWvOKMSy6sNEzXNRMIBm0thsobU7Oa88oqK3bI4avucjVZYO17zwlat0xhAenBRQju66QLMzeNd84YIW2leoE_bwIp3q4wF7cI2WPbQodxlV2lK8u0MIr36N43dB5Xqf_CC9W7573lntp_pXyKOSdsPsxw5p7jc1_j6xd-fz7hA3_PSzwBp4yXAA</recordid><startdate>20220129</startdate><enddate>20220129</enddate><creator>Park, Young-Taek</creator><creator>Kim, Daekyun</creator><creator>Koh, Su-Jin</creator><creator>Kim, Yeon Sook</creator><creator>Kim, Sang Mi</creator><general>MDPI AG</general><general>MDPI</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>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</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>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-7574-4165</orcidid><orcidid>https://orcid.org/0000-0002-8712-8394</orcidid><orcidid>https://orcid.org/0000-0002-7368-7312</orcidid><orcidid>https://orcid.org/0000-0002-6657-3624</orcidid></search><sort><creationdate>20220129</creationdate><title>Patient Factors Associated with Different Hospice Programs in Korea: Analyzing Healthcare Big Data</title><author>Park, Young-Taek ; Kim, Daekyun ; Koh, Su-Jin ; Kim, Yeon Sook ; Kim, Sang Mi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c418t-c879a0dbb75e4753a4c42cf49ac510141394806dd03ea8e9d375c88d0d1129593</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Big Data</topic><topic>Cancer</topic><topic>Consciousness</topic><topic>Delivery of Health Care</topic><topic>Disease</topic><topic>Health care</topic><topic>Health insurance</topic><topic>Hospice Care</topic><topic>Hospices</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Length of stay</topic><topic>Palliative care</topic><topic>Patients</topic><topic>Pilot Projects</topic><topic>Registration</topic><topic>Regression analysis</topic><topic>Republic of Korea</topic><topic>Terminal illnesses</topic><topic>Variables</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Park, Young-Taek</creatorcontrib><creatorcontrib>Kim, Daekyun</creatorcontrib><creatorcontrib>Koh, Su-Jin</creatorcontrib><creatorcontrib>Kim, Yeon Sook</creatorcontrib><creatorcontrib>Kim, Sang Mi</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>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database</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 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 Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</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>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>International journal of environmental research and public health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Park, Young-Taek</au><au>Kim, Daekyun</au><au>Koh, Su-Jin</au><au>Kim, Yeon Sook</au><au>Kim, Sang Mi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Patient Factors Associated with Different Hospice Programs in Korea: Analyzing Healthcare Big Data</atitle><jtitle>International journal of environmental research and public health</jtitle><addtitle>Int J Environ Res Public Health</addtitle><date>2022-01-29</date><risdate>2022</risdate><volume>19</volume><issue>3</issue><spage>1566</spage><pages>1566-</pages><issn>1660-4601</issn><issn>1661-7827</issn><eissn>1660-4601</eissn><abstract>The Korean government has implemented a pilot project that introduces a new type of hospice care program called "Consultative Hospice Care" (COHC) since August 2017. The COHC is a new type of hospice program for terminally ill patients in acute care wards, which is different from the Independent Hospice Unit (IHU) care. This study aimed to compare the characteristics of two groups of hospice patients: COHC care only and both IHU care and COHC groups. Healthcare claim data from 1 April 2018 to 31 March 2020 were retrieved from the HIRA data warehouse system. The main outcome variable was patients receiving COHC only or both COHC and IHU care. The total number of hospice patients was 6482. A multivariate logistic regression analysis was used. Of 6482 hospice care recipients, 3789 (58.5%) received both COHC and IHU care. Those who received both COHC and IHU care were significantly associated with several factors: period from the first evaluation to death (adjusted odds ratio (aOR), 1.026; 95% confidence internal (CI), 1.024-1.029;
< 0.0001), disease severity measured by the Charlson Comorbidity Index (aOR, 1.032; CI, 1.017-1.047;
< 0.0001), consciousness (aOR, 3.654; CI, 3.269-4.085;
< 0.0001), and awareness of end-stage disease (aOR, 1.422; CI, 1.226-1.650;
< 0.0001). The COHC program had a critical role in hospice delivery to terminally ill patients. Policymakers on hospice care need to establish plans that promote efficient hospice care delivery systems.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>35162586</pmid><doi>10.3390/ijerph19031566</doi><orcidid>https://orcid.org/0000-0002-7574-4165</orcidid><orcidid>https://orcid.org/0000-0002-8712-8394</orcidid><orcidid>https://orcid.org/0000-0002-7368-7312</orcidid><orcidid>https://orcid.org/0000-0002-6657-3624</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Big Data Cancer Consciousness Delivery of Health Care Disease Health care Health insurance Hospice Care Hospices Hospitals Humans Length of stay Palliative care Patients Pilot Projects Registration Regression analysis Republic of Korea Terminal illnesses Variables |
title | Patient Factors Associated with Different Hospice Programs in Korea: Analyzing Healthcare Big Data |
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