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Evaluation of the implementation and effect of the healthcare cloud information platform for diabetes self‐management: A case study in Shanghai
Summary With the high prevalence of diabetes, its long‐term treatment, and many complications, there is a need for a new diabetes self‐management model in developing countries. Therefore, this study aimed to assess the implementation and effect of a new diabetes self‐management model, known as the h...
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Published in: | The International journal of health planning and management 2019-07, Vol.34 (3), p.986-997 |
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container_title | The International journal of health planning and management |
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creator | Cheng, Chen Xin, Gong Xiaoli, Wang Chuanwei, Cao Xiaoming, Sun Yimin, Zhang Limei, Jing Ning, Chen Qian, Liu Hui, Wang Lan, Tang Zhaoxin, Wang |
description | Summary
With the high prevalence of diabetes, its long‐term treatment, and many complications, there is a need for a new diabetes self‐management model in developing countries. Therefore, this study aimed to assess the implementation and effect of a new diabetes self‐management model, known as the healthcare cloud information platform, in Shanghai, China. The implementation of the new model was evaluated in terms of the equipment coverage in community health service centres and the services provided. The effect was assessed according to the treatment rate and control rate from 2012 to 2017. Their correlations with the self‐management rate were analysed using Spearman's test. It was found that the Shanghai healthcare cloud information platform had covered a total of 237 community health service centres in all of the 16 administrative districts, equipping them with 2489 health stations, by 2017. An average of 8966 people uploaded data to the healthcare cloud information platform every day, with the accumulated service up to 12 043 508 person‐times and an average daily increase of 13 227.9. The treatment rate of diabetes patients in Shanghai increased from 42.9% in 2012 to 78.0% in 2017, and the control rate increased to 72% in 2017, compared with 63% in 2012. Furthermore, there was a significant correlation between the treatment rate, control rate, and self‐management rate. The findings indicate that it is feasible to implement the new healthcare cloud information platform for diabetes self‐management and that it is effective. |
doi_str_mv | 10.1002/hpm.2869 |
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With the high prevalence of diabetes, its long‐term treatment, and many complications, there is a need for a new diabetes self‐management model in developing countries. Therefore, this study aimed to assess the implementation and effect of a new diabetes self‐management model, known as the healthcare cloud information platform, in Shanghai, China. The implementation of the new model was evaluated in terms of the equipment coverage in community health service centres and the services provided. The effect was assessed according to the treatment rate and control rate from 2012 to 2017. Their correlations with the self‐management rate were analysed using Spearman's test. It was found that the Shanghai healthcare cloud information platform had covered a total of 237 community health service centres in all of the 16 administrative districts, equipping them with 2489 health stations, by 2017. An average of 8966 people uploaded data to the healthcare cloud information platform every day, with the accumulated service up to 12 043 508 person‐times and an average daily increase of 13 227.9. The treatment rate of diabetes patients in Shanghai increased from 42.9% in 2012 to 78.0% in 2017, and the control rate increased to 72% in 2017, compared with 63% in 2012. Furthermore, there was a significant correlation between the treatment rate, control rate, and self‐management rate. The findings indicate that it is feasible to implement the new healthcare cloud information platform for diabetes self‐management and that it is effective.</description><identifier>ISSN: 0749-6753</identifier><identifier>EISSN: 1099-1751</identifier><identifier>DOI: 10.1002/hpm.2869</identifier><identifier>PMID: 31368129</identifier><language>eng</language><publisher>England: Wiley Subscription Services, Inc</publisher><subject>Adult ; Case studies ; China ; China - epidemiology ; Cloud Computing ; Communities ; Community health care ; Community health services ; Community Health Services - methods ; Developing countries ; Diabetes ; Diabetes mellitus ; Diabetes Mellitus - epidemiology ; Diabetes Mellitus - therapy ; Districts ; Health administration ; Health care ; Health services ; healthcare cloud information platform ; Humans ; Implementation ; Information ; LDCs ; Management ; Program Evaluation ; Self Care - methods ; self‐management</subject><ispartof>The International journal of health planning and management, 2019-07, Vol.34 (3), p.986-997</ispartof><rights>2019 John Wiley & Sons, Ltd.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3499-d04fcdeee1ae575258f6fde24504a2c27be80ca1594ca4a09e3f8f3f2a79ecfa3</citedby><cites>FETCH-LOGICAL-c3499-d04fcdeee1ae575258f6fde24504a2c27be80ca1594ca4a09e3f8f3f2a79ecfa3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902,30976,33751</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31368129$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Cheng, Chen</creatorcontrib><creatorcontrib>Xin, Gong</creatorcontrib><creatorcontrib>Xiaoli, Wang</creatorcontrib><creatorcontrib>Chuanwei, Cao</creatorcontrib><creatorcontrib>Xiaoming, Sun</creatorcontrib><creatorcontrib>Yimin, Zhang</creatorcontrib><creatorcontrib>Limei, Jing</creatorcontrib><creatorcontrib>Ning, Chen</creatorcontrib><creatorcontrib>Qian, Liu</creatorcontrib><creatorcontrib>Hui, Wang</creatorcontrib><creatorcontrib>Lan, Tang</creatorcontrib><creatorcontrib>Zhaoxin, Wang</creatorcontrib><title>Evaluation of the implementation and effect of the healthcare cloud information platform for diabetes self‐management: A case study in Shanghai</title><title>The International journal of health planning and management</title><addtitle>Int J Health Plann Manage</addtitle><description>Summary
With the high prevalence of diabetes, its long‐term treatment, and many complications, there is a need for a new diabetes self‐management model in developing countries. Therefore, this study aimed to assess the implementation and effect of a new diabetes self‐management model, known as the healthcare cloud information platform, in Shanghai, China. The implementation of the new model was evaluated in terms of the equipment coverage in community health service centres and the services provided. The effect was assessed according to the treatment rate and control rate from 2012 to 2017. Their correlations with the self‐management rate were analysed using Spearman's test. It was found that the Shanghai healthcare cloud information platform had covered a total of 237 community health service centres in all of the 16 administrative districts, equipping them with 2489 health stations, by 2017. An average of 8966 people uploaded data to the healthcare cloud information platform every day, with the accumulated service up to 12 043 508 person‐times and an average daily increase of 13 227.9. The treatment rate of diabetes patients in Shanghai increased from 42.9% in 2012 to 78.0% in 2017, and the control rate increased to 72% in 2017, compared with 63% in 2012. Furthermore, there was a significant correlation between the treatment rate, control rate, and self‐management rate. The findings indicate that it is feasible to implement the new healthcare cloud information platform for diabetes self‐management and that it is effective.</description><subject>Adult</subject><subject>Case studies</subject><subject>China</subject><subject>China - epidemiology</subject><subject>Cloud Computing</subject><subject>Communities</subject><subject>Community health care</subject><subject>Community health services</subject><subject>Community Health Services - methods</subject><subject>Developing countries</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diabetes Mellitus - epidemiology</subject><subject>Diabetes Mellitus - therapy</subject><subject>Districts</subject><subject>Health administration</subject><subject>Health care</subject><subject>Health services</subject><subject>healthcare cloud information platform</subject><subject>Humans</subject><subject>Implementation</subject><subject>Information</subject><subject>LDCs</subject><subject>Management</subject><subject>Program Evaluation</subject><subject>Self Care - methods</subject><subject>self‐management</subject><issn>0749-6753</issn><issn>1099-1751</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>7QJ</sourceid><sourceid>BHHNA</sourceid><recordid>eNp1kd2KEzEUx4O42FoFn0AC3ngzu0nmIxPvylLtwi67oF4Pp5mTzpTMh5OM0jsfQV_RJ9m00yoIe5NDcn78OCd_Qt5wdskZE1dV31yKPFPPyJwzpSIuU_6czJlMVJTJNJ6Rl87tGAs9rl6QWczjLOdCzcnv1XewI_i6a2lnqK-Q1k1vscHWT6_QlhSNQe3PQIVgfaVhQKptN5a0bk03NBPeW_CHGw0HLWvYoEdHHVrz5-evBlrYHt0f6JJqcEidH8t9MNDPFbTbCupX5MKAdfj6VBfk68fVl-t1dHv_6eZ6eRvpOAkrliwxukREDpjKVKS5yUyJIklZAkILucGcaeCpSjQkwBTGJjexESAVagPxgryfvP3QfRvR-aKpnUZrocVudIUQmQz_lwoR0Hf_obtuHNowXaCkzFWWxOKfUA-dcwOaoh_qBoZ9wVlxiKkIMRWHmAL69iQcNw2Wf8FzLgGIJuBHbXH_pKhYP9wdhY-2sJ-c</recordid><startdate>201907</startdate><enddate>201907</enddate><creator>Cheng, Chen</creator><creator>Xin, Gong</creator><creator>Xiaoli, Wang</creator><creator>Chuanwei, Cao</creator><creator>Xiaoming, Sun</creator><creator>Yimin, Zhang</creator><creator>Limei, Jing</creator><creator>Ning, Chen</creator><creator>Qian, Liu</creator><creator>Hui, Wang</creator><creator>Lan, Tang</creator><creator>Zhaoxin, Wang</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>AAYXX</scope><scope>CITATION</scope><scope>7QJ</scope><scope>7U3</scope><scope>BHHNA</scope><scope>7X8</scope></search><sort><creationdate>201907</creationdate><title>Evaluation of the implementation and effect of the healthcare cloud information platform for diabetes self‐management: A case study in Shanghai</title><author>Cheng, Chen ; Xin, Gong ; Xiaoli, Wang ; Chuanwei, Cao ; Xiaoming, Sun ; Yimin, Zhang ; Limei, Jing ; Ning, Chen ; Qian, Liu ; Hui, Wang ; Lan, Tang ; Zhaoxin, Wang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3499-d04fcdeee1ae575258f6fde24504a2c27be80ca1594ca4a09e3f8f3f2a79ecfa3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adult</topic><topic>Case studies</topic><topic>China</topic><topic>China - epidemiology</topic><topic>Cloud Computing</topic><topic>Communities</topic><topic>Community health care</topic><topic>Community health services</topic><topic>Community Health Services - methods</topic><topic>Developing countries</topic><topic>Diabetes</topic><topic>Diabetes mellitus</topic><topic>Diabetes Mellitus - epidemiology</topic><topic>Diabetes Mellitus - therapy</topic><topic>Districts</topic><topic>Health administration</topic><topic>Health care</topic><topic>Health services</topic><topic>healthcare cloud information platform</topic><topic>Humans</topic><topic>Implementation</topic><topic>Information</topic><topic>LDCs</topic><topic>Management</topic><topic>Program Evaluation</topic><topic>Self Care - methods</topic><topic>self‐management</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cheng, Chen</creatorcontrib><creatorcontrib>Xin, Gong</creatorcontrib><creatorcontrib>Xiaoli, Wang</creatorcontrib><creatorcontrib>Chuanwei, Cao</creatorcontrib><creatorcontrib>Xiaoming, Sun</creatorcontrib><creatorcontrib>Yimin, Zhang</creatorcontrib><creatorcontrib>Limei, Jing</creatorcontrib><creatorcontrib>Ning, Chen</creatorcontrib><creatorcontrib>Qian, Liu</creatorcontrib><creatorcontrib>Hui, Wang</creatorcontrib><creatorcontrib>Lan, Tang</creatorcontrib><creatorcontrib>Zhaoxin, Wang</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>Social Services Abstracts</collection><collection>Sociological Abstracts</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>Cheng, Chen</au><au>Xin, Gong</au><au>Xiaoli, Wang</au><au>Chuanwei, Cao</au><au>Xiaoming, Sun</au><au>Yimin, Zhang</au><au>Limei, Jing</au><au>Ning, Chen</au><au>Qian, Liu</au><au>Hui, Wang</au><au>Lan, Tang</au><au>Zhaoxin, Wang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluation of the implementation and effect of the healthcare cloud information platform for diabetes self‐management: A case study in Shanghai</atitle><jtitle>The International journal of health planning and management</jtitle><addtitle>Int J Health Plann Manage</addtitle><date>2019-07</date><risdate>2019</risdate><volume>34</volume><issue>3</issue><spage>986</spage><epage>997</epage><pages>986-997</pages><issn>0749-6753</issn><eissn>1099-1751</eissn><abstract>Summary
With the high prevalence of diabetes, its long‐term treatment, and many complications, there is a need for a new diabetes self‐management model in developing countries. Therefore, this study aimed to assess the implementation and effect of a new diabetes self‐management model, known as the healthcare cloud information platform, in Shanghai, China. The implementation of the new model was evaluated in terms of the equipment coverage in community health service centres and the services provided. The effect was assessed according to the treatment rate and control rate from 2012 to 2017. Their correlations with the self‐management rate were analysed using Spearman's test. It was found that the Shanghai healthcare cloud information platform had covered a total of 237 community health service centres in all of the 16 administrative districts, equipping them with 2489 health stations, by 2017. An average of 8966 people uploaded data to the healthcare cloud information platform every day, with the accumulated service up to 12 043 508 person‐times and an average daily increase of 13 227.9. The treatment rate of diabetes patients in Shanghai increased from 42.9% in 2012 to 78.0% in 2017, and the control rate increased to 72% in 2017, compared with 63% in 2012. Furthermore, there was a significant correlation between the treatment rate, control rate, and self‐management rate. The findings indicate that it is feasible to implement the new healthcare cloud information platform for diabetes self‐management and that it is effective.</abstract><cop>England</cop><pub>Wiley Subscription Services, Inc</pub><pmid>31368129</pmid><doi>10.1002/hpm.2869</doi><tpages>12</tpages></addata></record> |
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subjects | Adult Case studies China China - epidemiology Cloud Computing Communities Community health care Community health services Community Health Services - methods Developing countries Diabetes Diabetes mellitus Diabetes Mellitus - epidemiology Diabetes Mellitus - therapy Districts Health administration Health care Health services healthcare cloud information platform Humans Implementation Information LDCs Management Program Evaluation Self Care - methods self‐management |
title | Evaluation of the implementation and effect of the healthcare cloud information platform for diabetes self‐management: A case study in Shanghai |
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