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Patterns of multimorbidity in community health centres in Shanghai, China: a retrospective, cross-sectional study based on outpatient data from 2014 to 2018
ObjectiveCaring for patients with multimorbidity is an important part of primary care. It has become increasingly relevant that understanding the spectrum of multimorbidity will help general practitioners (GPs) acquire working knowledge and improve management skills. However, there was little resear...
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description | ObjectiveCaring for patients with multimorbidity is an important part of primary care. It has become increasingly relevant that understanding the spectrum of multimorbidity will help general practitioners (GPs) acquire working knowledge and improve management skills. However, there was little research on characteristics of multimorbidity in primary care in China. This study aimed to identify the spectrum of frequency, proportion and ranking of multimorbidity patterns in adult patients seen at community health centres (CHCs) in Shanghai, China.Design and settingThis was an observational, retrospective, cross-sectional study analysis of outpatient data of 244 CHCs in Shanghai, China.ParticipantsAdult patients with chronic disease who visited Shanghai CHCs during 2014–2018 were selected from Shanghai CHC electronic medical records database using the International Classification of Diseases 10th Revision codes matched to the Second Version of International Classification of Primary Care codes.Primary and secondary outcome measuresA number of adult patients with chronic disease were counted. Then frequency, proportion and rank of disease patterns of multimorbidity were analysed.ResultsAnalysis of 301 651 158 electronic health records of 5 909 280 adult patients (54.2% females) found the multimorbidity proportion to be 81.2%. The prevalence of multimorbidity increased with age, which climbed from 43.7% among those aged 19–34 to 94.9% among those more than 80 years of age. The proportion of multimorbidity was higher in females (83.2%) than males (79.7%). Vascular and metabolic diseases were the most frequent diseases for patients over 45 years old.ConclusionsMultimorbidity has brought huge challenges to primary care practice in Shanghai. The Shanghai government should strengthen its support for the multitargeted prevention of chronic diseases and the improvement of GPs’ management capabilities. |
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It has become increasingly relevant that understanding the spectrum of multimorbidity will help general practitioners (GPs) acquire working knowledge and improve management skills. However, there was little research on characteristics of multimorbidity in primary care in China. This study aimed to identify the spectrum of frequency, proportion and ranking of multimorbidity patterns in adult patients seen at community health centres (CHCs) in Shanghai, China.Design and settingThis was an observational, retrospective, cross-sectional study analysis of outpatient data of 244 CHCs in Shanghai, China.ParticipantsAdult patients with chronic disease who visited Shanghai CHCs during 2014–2018 were selected from Shanghai CHC electronic medical records database using the International Classification of Diseases 10th Revision codes matched to the Second Version of International Classification of Primary Care codes.Primary and secondary outcome measuresA number of adult patients with chronic disease were counted. Then frequency, proportion and rank of disease patterns of multimorbidity were analysed.ResultsAnalysis of 301 651 158 electronic health records of 5 909 280 adult patients (54.2% females) found the multimorbidity proportion to be 81.2%. The prevalence of multimorbidity increased with age, which climbed from 43.7% among those aged 19–34 to 94.9% among those more than 80 years of age. The proportion of multimorbidity was higher in females (83.2%) than males (79.7%). Vascular and metabolic diseases were the most frequent diseases for patients over 45 years old.ConclusionsMultimorbidity has brought huge challenges to primary care practice in Shanghai. The Shanghai government should strengthen its support for the multitargeted prevention of chronic diseases and the improvement of GPs’ management capabilities.</description><identifier>ISSN: 2044-6055</identifier><identifier>EISSN: 2044-6055</identifier><identifier>DOI: 10.1136/bmjopen-2021-048727</identifier><identifier>PMID: 36198446</identifier><language>eng</language><publisher>London: British Medical Journal Publishing Group</publisher><subject>Age ; Chronic illnesses ; Classification ; Comorbidity ; Cross-sectional studies ; Data collection ; Demographics ; Disease ; Electronic health records ; Emergency medical care ; epidemiology ; Gender ; General practice / Family practice ; Health facilities ; Information systems ; Medical diagnosis ; Medical records ; Older people ; Patients ; Personal information ; Population ; Primary care ; public health</subject><ispartof>BMJ open, 2022-10, Vol.12 (10), p.e048727-e048727</ispartof><rights>Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.</rights><rights>2022 Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ . Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-b466t-ea7cd7411665e15eec754af02cd2a12522c8a1ef7446536a3a4ca2f02812dd293</cites><orcidid>0000-0002-5022-4497 ; 0000-0002-9735-0335 ; 0000-0002-3523-6246</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2734647957/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2734647957?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,3181,25731,27901,27902,36989,36990,44566,53766,53768,55316,55325,74869,77338,77339,77402,77428</link.rule.ids></links><search><creatorcontrib>Jin, Hua</creatorcontrib><creatorcontrib>Wang, Zhaoxin</creatorcontrib><creatorcontrib>Guo, Aizhen</creatorcontrib><creatorcontrib>Zhang, Hanzhi</creatorcontrib><creatorcontrib>Liu, Wei</creatorcontrib><creatorcontrib>Zhu, Yuqin</creatorcontrib><creatorcontrib>Hua, Ming</creatorcontrib><creatorcontrib>Shi, Jianjun</creatorcontrib><creatorcontrib>Shi, Jianwei</creatorcontrib><creatorcontrib>Yu, Dehua</creatorcontrib><title>Patterns of multimorbidity in community health centres in Shanghai, China: a retrospective, cross-sectional study based on outpatient data from 2014 to 2018</title><title>BMJ open</title><addtitle>BMJ Open</addtitle><description>ObjectiveCaring for patients with multimorbidity is an important part of primary care. It has become increasingly relevant that understanding the spectrum of multimorbidity will help general practitioners (GPs) acquire working knowledge and improve management skills. However, there was little research on characteristics of multimorbidity in primary care in China. This study aimed to identify the spectrum of frequency, proportion and ranking of multimorbidity patterns in adult patients seen at community health centres (CHCs) in Shanghai, China.Design and settingThis was an observational, retrospective, cross-sectional study analysis of outpatient data of 244 CHCs in Shanghai, China.ParticipantsAdult patients with chronic disease who visited Shanghai CHCs during 2014–2018 were selected from Shanghai CHC electronic medical records database using the International Classification of Diseases 10th Revision codes matched to the Second Version of International Classification of Primary Care codes.Primary and secondary outcome measuresA number of adult patients with chronic disease were counted. Then frequency, proportion and rank of disease patterns of multimorbidity were analysed.ResultsAnalysis of 301 651 158 electronic health records of 5 909 280 adult patients (54.2% females) found the multimorbidity proportion to be 81.2%. The prevalence of multimorbidity increased with age, which climbed from 43.7% among those aged 19–34 to 94.9% among those more than 80 years of age. The proportion of multimorbidity was higher in females (83.2%) than males (79.7%). Vascular and metabolic diseases were the most frequent diseases for patients over 45 years old.ConclusionsMultimorbidity has brought huge challenges to primary care practice in Shanghai. The Shanghai government should strengthen its support for the multitargeted prevention of chronic diseases and the improvement of GPs’ management capabilities.</description><subject>Age</subject><subject>Chronic illnesses</subject><subject>Classification</subject><subject>Comorbidity</subject><subject>Cross-sectional studies</subject><subject>Data collection</subject><subject>Demographics</subject><subject>Disease</subject><subject>Electronic health records</subject><subject>Emergency medical care</subject><subject>epidemiology</subject><subject>Gender</subject><subject>General practice / Family practice</subject><subject>Health facilities</subject><subject>Information systems</subject><subject>Medical diagnosis</subject><subject>Medical records</subject><subject>Older people</subject><subject>Patients</subject><subject>Personal information</subject><subject>Population</subject><subject>Primary care</subject><subject>public health</subject><issn>2044-6055</issn><issn>2044-6055</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>9YT</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNp9ks9u1DAQxiMEolXpE3CxxIVDQ23HdhIOSGjFn0qVQALO1sSeNF4l9mI7lfZd-rAkuyugHPBlPP6--ckeT1G8ZPQNY5W67qZt2KEvOeWspKKpef2kOOdUiFJRKZ_-tT8rLlPa0mUJ2UrJnxdnlWJtI4Q6Lx6-Qs4YfSKhJ9M8ZjeF2Dnr8p44T0yYptmvyYAw5oEY9DliWrVvA_i7AdwV2QzOw1sCJGKOIe3QZHePV8QsSSrTmgYPI0l5tnvSQUJLgidhzjvIbiESCxlIH8NEOGWC5LDG5kXxrIcx4eUpXhQ_Pn74vvlc3n75dLN5f1t2QqlcItTG1oIxpSQyiWhqKaCn3FgOjEvOTQMM-3p5sawUVCAM8EVvGLeWt9VFcXPk2gBbvYtugrjXAZw-HIR4pyFmZ0bUtawV7XqULVaiVwgUEa0ytKe97IRYWO-OrN3cTWgP_YLxEfSx4t2g78K9bmUlWUMXwOsTIIafM6asJ5cMjiN4DHPSvOa8YlyIerG--se6DXNcOr26KqFE3crVVR1dh--I2P--DKN6HSZ9Gia9DpM-DtNSdX2sWsQ_2P9V_AJtAs5I</recordid><startdate>20221005</startdate><enddate>20221005</enddate><creator>Jin, Hua</creator><creator>Wang, Zhaoxin</creator><creator>Guo, Aizhen</creator><creator>Zhang, Hanzhi</creator><creator>Liu, Wei</creator><creator>Zhu, Yuqin</creator><creator>Hua, Ming</creator><creator>Shi, Jianjun</creator><creator>Shi, Jianwei</creator><creator>Yu, Dehua</creator><general>British Medical Journal Publishing Group</general><general>BMJ Publishing Group LTD</general><general>BMJ Publishing Group</general><scope>9YT</scope><scope>ACMMV</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>K9-</scope><scope>K9.</scope><scope>KB0</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-5022-4497</orcidid><orcidid>https://orcid.org/0000-0002-9735-0335</orcidid><orcidid>https://orcid.org/0000-0002-3523-6246</orcidid></search><sort><creationdate>20221005</creationdate><title>Patterns of multimorbidity in community health centres in Shanghai, China: a retrospective, cross-sectional study based on outpatient data from 2014 to 2018</title><author>Jin, Hua ; Wang, Zhaoxin ; Guo, Aizhen ; Zhang, Hanzhi ; Liu, Wei ; Zhu, Yuqin ; Hua, Ming ; Shi, Jianjun ; Shi, Jianwei ; Yu, Dehua</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b466t-ea7cd7411665e15eec754af02cd2a12522c8a1ef7446536a3a4ca2f02812dd293</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Age</topic><topic>Chronic illnesses</topic><topic>Classification</topic><topic>Comorbidity</topic><topic>Cross-sectional studies</topic><topic>Data collection</topic><topic>Demographics</topic><topic>Disease</topic><topic>Electronic health records</topic><topic>Emergency medical care</topic><topic>epidemiology</topic><topic>Gender</topic><topic>General practice / Family practice</topic><topic>Health facilities</topic><topic>Information systems</topic><topic>Medical diagnosis</topic><topic>Medical records</topic><topic>Older people</topic><topic>Patients</topic><topic>Personal information</topic><topic>Population</topic><topic>Primary care</topic><topic>public health</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jin, Hua</creatorcontrib><creatorcontrib>Wang, Zhaoxin</creatorcontrib><creatorcontrib>Guo, Aizhen</creatorcontrib><creatorcontrib>Zhang, Hanzhi</creatorcontrib><creatorcontrib>Liu, Wei</creatorcontrib><creatorcontrib>Zhu, Yuqin</creatorcontrib><creatorcontrib>Hua, Ming</creatorcontrib><creatorcontrib>Shi, Jianjun</creatorcontrib><creatorcontrib>Shi, Jianwei</creatorcontrib><creatorcontrib>Yu, Dehua</creatorcontrib><collection>BMJ Open Access Journals</collection><collection>BMJ Journals:Open Access</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Proquest Nursing & Allied Health Source</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</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>BMJ Journals</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Publicly Available Content (ProQuest)</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 One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>BMJ open</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jin, Hua</au><au>Wang, Zhaoxin</au><au>Guo, Aizhen</au><au>Zhang, Hanzhi</au><au>Liu, Wei</au><au>Zhu, Yuqin</au><au>Hua, Ming</au><au>Shi, Jianjun</au><au>Shi, Jianwei</au><au>Yu, Dehua</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Patterns of multimorbidity in community health centres in Shanghai, China: a retrospective, cross-sectional study based on outpatient data from 2014 to 2018</atitle><jtitle>BMJ open</jtitle><stitle>BMJ Open</stitle><date>2022-10-05</date><risdate>2022</risdate><volume>12</volume><issue>10</issue><spage>e048727</spage><epage>e048727</epage><pages>e048727-e048727</pages><issn>2044-6055</issn><eissn>2044-6055</eissn><abstract>ObjectiveCaring for patients with multimorbidity is an important part of primary care. It has become increasingly relevant that understanding the spectrum of multimorbidity will help general practitioners (GPs) acquire working knowledge and improve management skills. However, there was little research on characteristics of multimorbidity in primary care in China. This study aimed to identify the spectrum of frequency, proportion and ranking of multimorbidity patterns in adult patients seen at community health centres (CHCs) in Shanghai, China.Design and settingThis was an observational, retrospective, cross-sectional study analysis of outpatient data of 244 CHCs in Shanghai, China.ParticipantsAdult patients with chronic disease who visited Shanghai CHCs during 2014–2018 were selected from Shanghai CHC electronic medical records database using the International Classification of Diseases 10th Revision codes matched to the Second Version of International Classification of Primary Care codes.Primary and secondary outcome measuresA number of adult patients with chronic disease were counted. Then frequency, proportion and rank of disease patterns of multimorbidity were analysed.ResultsAnalysis of 301 651 158 electronic health records of 5 909 280 adult patients (54.2% females) found the multimorbidity proportion to be 81.2%. The prevalence of multimorbidity increased with age, which climbed from 43.7% among those aged 19–34 to 94.9% among those more than 80 years of age. The proportion of multimorbidity was higher in females (83.2%) than males (79.7%). Vascular and metabolic diseases were the most frequent diseases for patients over 45 years old.ConclusionsMultimorbidity has brought huge challenges to primary care practice in Shanghai. The Shanghai government should strengthen its support for the multitargeted prevention of chronic diseases and the improvement of GPs’ management capabilities.</abstract><cop>London</cop><pub>British Medical Journal Publishing Group</pub><pmid>36198446</pmid><doi>10.1136/bmjopen-2021-048727</doi><orcidid>https://orcid.org/0000-0002-5022-4497</orcidid><orcidid>https://orcid.org/0000-0002-9735-0335</orcidid><orcidid>https://orcid.org/0000-0002-3523-6246</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Age Chronic illnesses Classification Comorbidity Cross-sectional studies Data collection Demographics Disease Electronic health records Emergency medical care epidemiology Gender General practice / Family practice Health facilities Information systems Medical diagnosis Medical records Older people Patients Personal information Population Primary care public health |
title | Patterns of multimorbidity in community health centres in Shanghai, China: a retrospective, cross-sectional study based on outpatient data from 2014 to 2018 |
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