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Singapore's regional health systems—a data‐driven perspective on frequent admitters and cross utilization of healthcare services in three systems
Summary Introduction With population health management being a priority in the Singapore, this paper aims to provide a data‐driven perspective of the population health management initiatives to aid program planning and serves as a baseline for evaluation of future implemented programs. Methods A dat...
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Published in: | The International journal of health planning and management 2017-01, Vol.32 (1), p.36-49 |
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container_title | The International journal of health planning and management |
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creator | Saxena, Nakul You, Alex Xiaobin Zhu, Zhecheng Sun, Yan George, Pradeep Paul Teow, Kiok Liang Chong, Phui‐Nah Sim, Joe Wong, John Eu Li Ong, Benjamin Foo, Hee Jug Soh, Eugene Fidelis Tham, Linus Heng, Bee Hoon Choo, Philip |
description | Summary
Introduction
With population health management being a priority in the Singapore, this paper aims to provide a data‐driven perspective of the population health management initiatives to aid program planning and serves as a baseline for evaluation of future implemented programs.
Methods
A database with information on patient demographics, health services utilization, cost, diagnoses and chronic disease information from 2008 to 2013 for three regional health systems in Singapore was used for analysis. Patients with three or more inpatient admissions were considered as “Frequent Admitters.” Health service utilization was quantified, and cross utilization of services was studied. One‐year readmission rate for inpatients was studied, and a predictive model for readmission or death was developed.
Results
There were a total of 2.8 M patients in the database. Frequent admitters accounted for 0.9% of all patients with an average cost per patient of S$29 547. Of these, 89% had chronic diseases. Cross utilization of health services showed that 8.2% of the patients utilized services from more than one hospital with 19.6% utilizing hospital and polyclinic services in 2013. The highest risk of readmission or death was for those patients who had five or more inpatient episodes in each of the preceding 2 years.
Conclusion
By understanding the profile of the patients and their utilization patterns in the three regional health systems, our study will help clinicians and decision makers design appropriate integrated care programs for patients with the aim of covering the healthcare needs for the enitre population across the healthcare spectrum in Singapore. Copyright © 2015 John Wiley & Sons, Ltd. |
doi_str_mv | 10.1002/hpm.2300 |
format | article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_proquest_miscellaneous_1826620589</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1826620589</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3160-efdb44725fd47d7e6204e3ae11c1c3fcda74ba135dbe74edba3a87e56b1c93a63</originalsourceid><addsrcrecordid>eNpdkc1OGzEUhS0EgjStxBMgSyzoZoI9nrEzywrRUikIJNr16I59J3E0f7U9oHTFI3TRvmCepI4ILFhdXZ1P5-qeQ8gpZzPOWHq5GtpZKhg7IBPOiiLhKueHZMJUViRS5eKEfPB-zVjUeHFMTlLJecGkmpB_D7ZbwtA7vPDU4dL2HTR0hdCEFfUbH7D12-e_QA0E2D7_Mc4-YkcHdH5AHeJC-47WDn-N2AUKprUhRJFCZ6h2vfd0DLaxvyFEa9rXe28NDqlH92g1emo7GlYO8fXiR3JUQ-Px035Oyc-v1z-ubpLF3bfvV18WiRZcsgRrU2WZSvPaZMoolCnLUAByrrkWtTagsgq4yE2FKkNTgYC5wlxWXBcCpJiSzy--g-vjAz6UrfUamwY67Edf8nkqo2k-LyJ6_g5d96OLYe0oJRVL53keqbM9NVYtmnJwtgW3KV8Dj0DyAjzZBjdvOmflrsgyFlnuiixv7m93U_wHqF6VrA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1876702855</pqid></control><display><type>article</type><title>Singapore's regional health systems—a data‐driven perspective on frequent admitters and cross utilization of healthcare services in three systems</title><source>EBSCOhost Business Source Ultimate</source><source>Applied Social Sciences Index & Abstracts (ASSIA)</source><source>Wiley</source><creator>Saxena, Nakul ; You, Alex Xiaobin ; Zhu, Zhecheng ; Sun, Yan ; George, Pradeep Paul ; Teow, Kiok Liang ; Chong, Phui‐Nah ; Sim, Joe ; Wong, John Eu Li ; Ong, Benjamin ; Foo, Hee Jug ; Soh, Eugene Fidelis ; Tham, Linus ; Heng, Bee Hoon ; Choo, Philip</creator><creatorcontrib>Saxena, Nakul ; You, Alex Xiaobin ; Zhu, Zhecheng ; Sun, Yan ; George, Pradeep Paul ; Teow, Kiok Liang ; Chong, Phui‐Nah ; Sim, Joe ; Wong, John Eu Li ; Ong, Benjamin ; Foo, Hee Jug ; Soh, Eugene Fidelis ; Tham, Linus ; Heng, Bee Hoon ; Choo, Philip</creatorcontrib><description>Summary
Introduction
With population health management being a priority in the Singapore, this paper aims to provide a data‐driven perspective of the population health management initiatives to aid program planning and serves as a baseline for evaluation of future implemented programs.
Methods
A database with information on patient demographics, health services utilization, cost, diagnoses and chronic disease information from 2008 to 2013 for three regional health systems in Singapore was used for analysis. Patients with three or more inpatient admissions were considered as “Frequent Admitters.” Health service utilization was quantified, and cross utilization of services was studied. One‐year readmission rate for inpatients was studied, and a predictive model for readmission or death was developed.
Results
There were a total of 2.8 M patients in the database. Frequent admitters accounted for 0.9% of all patients with an average cost per patient of S$29 547. Of these, 89% had chronic diseases. Cross utilization of health services showed that 8.2% of the patients utilized services from more than one hospital with 19.6% utilizing hospital and polyclinic services in 2013. The highest risk of readmission or death was for those patients who had five or more inpatient episodes in each of the preceding 2 years.
Conclusion
By understanding the profile of the patients and their utilization patterns in the three regional health systems, our study will help clinicians and decision makers design appropriate integrated care programs for patients with the aim of covering the healthcare needs for the enitre population across the healthcare spectrum in Singapore. Copyright © 2015 John Wiley & Sons, Ltd.</description><identifier>ISSN: 0749-6753</identifier><identifier>EISSN: 1099-1751</identifier><identifier>DOI: 10.1002/hpm.2300</identifier><identifier>PMID: 26119067</identifier><identifier>CODEN: IJHMEO</identifier><language>eng</language><publisher>England: Wiley Subscription Services, Inc</publisher><subject>Adolescent ; Adult ; Aged ; Aged, 80 and over ; Assistance programmes ; Chronic illnesses ; Databases, Factual ; Death & dying ; Decision makers ; Demographics ; Demography ; Disease management ; Female ; Health administration ; Health care ; Health care expenditures ; Health care industry ; Health initiatives ; Health services ; Health Services - economics ; Health Services - utilization ; healthcare management ; Hospitalization ; Humans ; Integrated services ; Male ; Middle Aged ; Patient care planning ; Patient Readmission ; Patients ; planning ; population health management ; Readmission ; Service provision ; Singapore ; Utilization ; Young Adult</subject><ispartof>The International journal of health planning and management, 2017-01, Vol.32 (1), p.36-49</ispartof><rights>Copyright © 2015 John Wiley & Sons, Ltd.</rights><rights>Copyright © 2017 John Wiley & Sons, Ltd.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3160-efdb44725fd47d7e6204e3ae11c1c3fcda74ba135dbe74edba3a87e56b1c93a63</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925,30999</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26119067$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Saxena, Nakul</creatorcontrib><creatorcontrib>You, Alex Xiaobin</creatorcontrib><creatorcontrib>Zhu, Zhecheng</creatorcontrib><creatorcontrib>Sun, Yan</creatorcontrib><creatorcontrib>George, Pradeep Paul</creatorcontrib><creatorcontrib>Teow, Kiok Liang</creatorcontrib><creatorcontrib>Chong, Phui‐Nah</creatorcontrib><creatorcontrib>Sim, Joe</creatorcontrib><creatorcontrib>Wong, John Eu Li</creatorcontrib><creatorcontrib>Ong, Benjamin</creatorcontrib><creatorcontrib>Foo, Hee Jug</creatorcontrib><creatorcontrib>Soh, Eugene Fidelis</creatorcontrib><creatorcontrib>Tham, Linus</creatorcontrib><creatorcontrib>Heng, Bee Hoon</creatorcontrib><creatorcontrib>Choo, Philip</creatorcontrib><title>Singapore's regional health systems—a data‐driven perspective on frequent admitters and cross utilization of healthcare services in three systems</title><title>The International journal of health planning and management</title><addtitle>Int J Health Plann Manage</addtitle><description>Summary
Introduction
With population health management being a priority in the Singapore, this paper aims to provide a data‐driven perspective of the population health management initiatives to aid program planning and serves as a baseline for evaluation of future implemented programs.
Methods
A database with information on patient demographics, health services utilization, cost, diagnoses and chronic disease information from 2008 to 2013 for three regional health systems in Singapore was used for analysis. Patients with three or more inpatient admissions were considered as “Frequent Admitters.” Health service utilization was quantified, and cross utilization of services was studied. One‐year readmission rate for inpatients was studied, and a predictive model for readmission or death was developed.
Results
There were a total of 2.8 M patients in the database. Frequent admitters accounted for 0.9% of all patients with an average cost per patient of S$29 547. Of these, 89% had chronic diseases. Cross utilization of health services showed that 8.2% of the patients utilized services from more than one hospital with 19.6% utilizing hospital and polyclinic services in 2013. The highest risk of readmission or death was for those patients who had five or more inpatient episodes in each of the preceding 2 years.
Conclusion
By understanding the profile of the patients and their utilization patterns in the three regional health systems, our study will help clinicians and decision makers design appropriate integrated care programs for patients with the aim of covering the healthcare needs for the enitre population across the healthcare spectrum in Singapore. Copyright © 2015 John Wiley & Sons, Ltd.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Assistance programmes</subject><subject>Chronic illnesses</subject><subject>Databases, Factual</subject><subject>Death & dying</subject><subject>Decision makers</subject><subject>Demographics</subject><subject>Demography</subject><subject>Disease management</subject><subject>Female</subject><subject>Health administration</subject><subject>Health care</subject><subject>Health care expenditures</subject><subject>Health care industry</subject><subject>Health initiatives</subject><subject>Health services</subject><subject>Health Services - economics</subject><subject>Health Services - utilization</subject><subject>healthcare management</subject><subject>Hospitalization</subject><subject>Humans</subject><subject>Integrated services</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Patient care planning</subject><subject>Patient Readmission</subject><subject>Patients</subject><subject>planning</subject><subject>population health management</subject><subject>Readmission</subject><subject>Service provision</subject><subject>Singapore</subject><subject>Utilization</subject><subject>Young Adult</subject><issn>0749-6753</issn><issn>1099-1751</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>7QJ</sourceid><recordid>eNpdkc1OGzEUhS0EgjStxBMgSyzoZoI9nrEzywrRUikIJNr16I59J3E0f7U9oHTFI3TRvmCepI4ILFhdXZ1P5-qeQ8gpZzPOWHq5GtpZKhg7IBPOiiLhKueHZMJUViRS5eKEfPB-zVjUeHFMTlLJecGkmpB_D7ZbwtA7vPDU4dL2HTR0hdCEFfUbH7D12-e_QA0E2D7_Mc4-YkcHdH5AHeJC-47WDn-N2AUKprUhRJFCZ6h2vfd0DLaxvyFEa9rXe28NDqlH92g1emo7GlYO8fXiR3JUQ-Px035Oyc-v1z-ubpLF3bfvV18WiRZcsgRrU2WZSvPaZMoolCnLUAByrrkWtTagsgq4yE2FKkNTgYC5wlxWXBcCpJiSzy--g-vjAz6UrfUamwY67Edf8nkqo2k-LyJ6_g5d96OLYe0oJRVL53keqbM9NVYtmnJwtgW3KV8Dj0DyAjzZBjdvOmflrsgyFlnuiixv7m93U_wHqF6VrA</recordid><startdate>201701</startdate><enddate>201701</enddate><creator>Saxena, Nakul</creator><creator>You, Alex Xiaobin</creator><creator>Zhu, Zhecheng</creator><creator>Sun, Yan</creator><creator>George, Pradeep Paul</creator><creator>Teow, Kiok Liang</creator><creator>Chong, Phui‐Nah</creator><creator>Sim, Joe</creator><creator>Wong, John Eu Li</creator><creator>Ong, Benjamin</creator><creator>Foo, Hee Jug</creator><creator>Soh, Eugene Fidelis</creator><creator>Tham, Linus</creator><creator>Heng, Bee Hoon</creator><creator>Choo, Philip</creator><general>Wiley Subscription Services, Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7QJ</scope><scope>7X8</scope></search><sort><creationdate>201701</creationdate><title>Singapore's regional health systems—a data‐driven perspective on frequent admitters and cross utilization of healthcare services in three systems</title><author>Saxena, Nakul ; You, Alex Xiaobin ; Zhu, Zhecheng ; Sun, Yan ; George, Pradeep Paul ; Teow, Kiok Liang ; Chong, Phui‐Nah ; Sim, Joe ; Wong, John Eu Li ; Ong, Benjamin ; Foo, Hee Jug ; Soh, Eugene Fidelis ; Tham, Linus ; Heng, Bee Hoon ; Choo, Philip</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3160-efdb44725fd47d7e6204e3ae11c1c3fcda74ba135dbe74edba3a87e56b1c93a63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Assistance programmes</topic><topic>Chronic illnesses</topic><topic>Databases, Factual</topic><topic>Death & dying</topic><topic>Decision makers</topic><topic>Demographics</topic><topic>Demography</topic><topic>Disease management</topic><topic>Female</topic><topic>Health administration</topic><topic>Health care</topic><topic>Health care expenditures</topic><topic>Health care industry</topic><topic>Health initiatives</topic><topic>Health services</topic><topic>Health Services - economics</topic><topic>Health Services - utilization</topic><topic>healthcare management</topic><topic>Hospitalization</topic><topic>Humans</topic><topic>Integrated services</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Patient care planning</topic><topic>Patient Readmission</topic><topic>Patients</topic><topic>planning</topic><topic>population health management</topic><topic>Readmission</topic><topic>Service provision</topic><topic>Singapore</topic><topic>Utilization</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Saxena, Nakul</creatorcontrib><creatorcontrib>You, Alex Xiaobin</creatorcontrib><creatorcontrib>Zhu, Zhecheng</creatorcontrib><creatorcontrib>Sun, Yan</creatorcontrib><creatorcontrib>George, Pradeep Paul</creatorcontrib><creatorcontrib>Teow, Kiok Liang</creatorcontrib><creatorcontrib>Chong, Phui‐Nah</creatorcontrib><creatorcontrib>Sim, Joe</creatorcontrib><creatorcontrib>Wong, John Eu Li</creatorcontrib><creatorcontrib>Ong, Benjamin</creatorcontrib><creatorcontrib>Foo, Hee Jug</creatorcontrib><creatorcontrib>Soh, Eugene Fidelis</creatorcontrib><creatorcontrib>Tham, Linus</creatorcontrib><creatorcontrib>Heng, Bee Hoon</creatorcontrib><creatorcontrib>Choo, Philip</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>MEDLINE - Academic</collection><jtitle>The International journal of health planning and management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Saxena, Nakul</au><au>You, Alex Xiaobin</au><au>Zhu, Zhecheng</au><au>Sun, Yan</au><au>George, Pradeep Paul</au><au>Teow, Kiok Liang</au><au>Chong, Phui‐Nah</au><au>Sim, Joe</au><au>Wong, John Eu Li</au><au>Ong, Benjamin</au><au>Foo, Hee Jug</au><au>Soh, Eugene Fidelis</au><au>Tham, Linus</au><au>Heng, Bee Hoon</au><au>Choo, Philip</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Singapore's regional health systems—a data‐driven perspective on frequent admitters and cross utilization of healthcare services in three systems</atitle><jtitle>The International journal of health planning and management</jtitle><addtitle>Int J Health Plann Manage</addtitle><date>2017-01</date><risdate>2017</risdate><volume>32</volume><issue>1</issue><spage>36</spage><epage>49</epage><pages>36-49</pages><issn>0749-6753</issn><eissn>1099-1751</eissn><coden>IJHMEO</coden><abstract>Summary
Introduction
With population health management being a priority in the Singapore, this paper aims to provide a data‐driven perspective of the population health management initiatives to aid program planning and serves as a baseline for evaluation of future implemented programs.
Methods
A database with information on patient demographics, health services utilization, cost, diagnoses and chronic disease information from 2008 to 2013 for three regional health systems in Singapore was used for analysis. Patients with three or more inpatient admissions were considered as “Frequent Admitters.” Health service utilization was quantified, and cross utilization of services was studied. One‐year readmission rate for inpatients was studied, and a predictive model for readmission or death was developed.
Results
There were a total of 2.8 M patients in the database. Frequent admitters accounted for 0.9% of all patients with an average cost per patient of S$29 547. Of these, 89% had chronic diseases. Cross utilization of health services showed that 8.2% of the patients utilized services from more than one hospital with 19.6% utilizing hospital and polyclinic services in 2013. The highest risk of readmission or death was for those patients who had five or more inpatient episodes in each of the preceding 2 years.
Conclusion
By understanding the profile of the patients and their utilization patterns in the three regional health systems, our study will help clinicians and decision makers design appropriate integrated care programs for patients with the aim of covering the healthcare needs for the enitre population across the healthcare spectrum in Singapore. Copyright © 2015 John Wiley & Sons, Ltd.</abstract><cop>England</cop><pub>Wiley Subscription Services, Inc</pub><pmid>26119067</pmid><doi>10.1002/hpm.2300</doi><tpages>14</tpages></addata></record> |
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subjects | Adolescent Adult Aged Aged, 80 and over Assistance programmes Chronic illnesses Databases, Factual Death & dying Decision makers Demographics Demography Disease management Female Health administration Health care Health care expenditures Health care industry Health initiatives Health services Health Services - economics Health Services - utilization healthcare management Hospitalization Humans Integrated services Male Middle Aged Patient care planning Patient Readmission Patients planning population health management Readmission Service provision Singapore Utilization Young Adult |
title | Singapore's regional health systems—a data‐driven perspective on frequent admitters and cross utilization of healthcare services in three systems |
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