Effects of a national quality improvement program on ICUs in China: a controlled pre-post cohort study in 586 hospitals

Introduction Patient safety and critical care quality remain a challenging issue in the ICU. However, the effects of the national quality improvement (QI) program remain unknown in China. Methods A national ICU QI program was implemented in a controlled cohort of 586 hospitals from 2016 to 2018. The...

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Veröffentlicht in:Critical care (London, England) England), 2020-03, Vol.24 (1), p.73-73, Article 73
Hauptverfasser: He, Huaiwu, Ma, Xudong, Su, Longxiang, Wang, Lu, Guo, Yanhong, Shan, Guangliang, He, Hui Jing, Zhou, Xiang, Liu, Dawei, Long, Yun, Zhao, Yupei, Zhang, Shuyang
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container_issue 1
container_start_page 73
container_title Critical care (London, England)
container_volume 24
creator He, Huaiwu
Ma, Xudong
Su, Longxiang
Wang, Lu
Guo, Yanhong
Shan, Guangliang
He, Hui Jing
Zhou, Xiang
Liu, Dawei
Long, Yun
Zhao, Yupei
Zhang, Shuyang
description Introduction Patient safety and critical care quality remain a challenging issue in the ICU. However, the effects of the national quality improvement (QI) program remain unknown in China. Methods A national ICU QI program was implemented in a controlled cohort of 586 hospitals from 2016 to 2018. The effects of the QI program on critical care quality were comprehensively investigated. Main results A total of 81,461,554 patients were enrolled in 586 hospitals, and 1,587,724 patients were admitted to the ICU over 3 years. In 2018, there was a significantly higher number of ICU beds (2016 vs. 2018: 10668 vs. 13,661, P = 0.0132) but a lower doctor-to-bed ratio (2016 vs. 2018: 0.64 (0.50, 0.83) vs. 0.60 (0.45, 0.75), P = 0.0016) and nurse-to-bed ratio (2016 vs. 2018: 2.00 (1.64, 2.50) vs. 2.00 (1.50, 2.40), P = 0.031) than in 2016. Continuous and significant improvements in the ventilator-associated pneumonia (VAP) incidence rate, microbiology detection rate before antibiotic use and deep vein thrombosis (DVT) prophylaxis rate were associated with the implementation of the QI program (VAP incidence rate (per 1000 ventilator-days), 2016 vs. 2017 vs. 2018: 11.06 (4.23, 22.70) vs. 10.20 (4.25, 23.94) vs. 8.05 (3.13, 17.37), P = 0.0002; microbiology detection rate before antibiotic use (%), 2016 vs. 2017 vs. 2018: 83.91 (49.75, 97.87) vs. 84.14 (60.46, 97.24) vs. 90.00 (69.62, 100), P < 0.0001; DVT prophylaxis rate, 2016 vs. 2017 vs. 2018: 74.19 (33.47, 96.16) vs. 71.70 (38.05, 96.28) vs. 83.27 (47.36, 97.77), P = 0.0093). Moreover, the 6-h SSC bundle compliance rates in 2018 were significantly higher than those in 2016 (6-h SSC bundle compliance rate, 2016 vs. 2018: 64.93 (33.55, 93.06) vs. 76.19 (46.88, 96.67)). A significant change trend was not found in the ICU mortality rate from 2016 to 2018 (ICU mortality rate (%), 2016 vs. 2017 vs. 2018: 8.49 (4.42, 14.82) vs. 8.95 (4.89, 15.70) vs. 9.05 (5.12, 15.80), P = 0.1075). Conclusions The relationship between medical human resources and ICU overexpansion was mismatched during the past 3 years. The implementation of a national QI program improved ICU performance but did not reduce ICU mortality.
doi_str_mv 10.1186/s13054-020-2790-1
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However, the effects of the national quality improvement (QI) program remain unknown in China. Methods A national ICU QI program was implemented in a controlled cohort of 586 hospitals from 2016 to 2018. The effects of the QI program on critical care quality were comprehensively investigated. Main results A total of 81,461,554 patients were enrolled in 586 hospitals, and 1,587,724 patients were admitted to the ICU over 3 years. In 2018, there was a significantly higher number of ICU beds (2016 vs. 2018: 10668 vs. 13,661, P = 0.0132) but a lower doctor-to-bed ratio (2016 vs. 2018: 0.64 (0.50, 0.83) vs. 0.60 (0.45, 0.75), P = 0.0016) and nurse-to-bed ratio (2016 vs. 2018: 2.00 (1.64, 2.50) vs. 2.00 (1.50, 2.40), P = 0.031) than in 2016. Continuous and significant improvements in the ventilator-associated pneumonia (VAP) incidence rate, microbiology detection rate before antibiotic use and deep vein thrombosis (DVT) prophylaxis rate were associated with the implementation of the QI program (VAP incidence rate (per 1000 ventilator-days), 2016 vs. 2017 vs. 2018: 11.06 (4.23, 22.70) vs. 10.20 (4.25, 23.94) vs. 8.05 (3.13, 17.37), P = 0.0002; microbiology detection rate before antibiotic use (%), 2016 vs. 2017 vs. 2018: 83.91 (49.75, 97.87) vs. 84.14 (60.46, 97.24) vs. 90.00 (69.62, 100), P &lt; 0.0001; DVT prophylaxis rate, 2016 vs. 2017 vs. 2018: 74.19 (33.47, 96.16) vs. 71.70 (38.05, 96.28) vs. 83.27 (47.36, 97.77), P = 0.0093). Moreover, the 6-h SSC bundle compliance rates in 2018 were significantly higher than those in 2016 (6-h SSC bundle compliance rate, 2016 vs. 2018: 64.93 (33.55, 93.06) vs. 76.19 (46.88, 96.67)). A significant change trend was not found in the ICU mortality rate from 2016 to 2018 (ICU mortality rate (%), 2016 vs. 2017 vs. 2018: 8.49 (4.42, 14.82) vs. 8.95 (4.89, 15.70) vs. 9.05 (5.12, 15.80), P = 0.1075). Conclusions The relationship between medical human resources and ICU overexpansion was mismatched during the past 3 years. The implementation of a national QI program improved ICU performance but did not reduce ICU mortality.</description><identifier>ISSN: 1364-8535</identifier><identifier>EISSN: 1466-609X</identifier><identifier>EISSN: 1364-8535</identifier><identifier>EISSN: 1366-609X</identifier><identifier>DOI: 10.1186/s13054-020-2790-1</identifier><identifier>PMID: 32131872</identifier><language>eng</language><publisher>LONDON: Springer Nature</publisher><subject>Antibiotics ; Catheters ; China ; Cohort analysis ; Critical care ; Critical Care Medicine ; Evaluation ; Evidence-based medicine ; General &amp; Internal Medicine ; Health care reform ; Hospitals ; ICU ; Intensive care ; Intervention ; Life Sciences &amp; Biomedicine ; Medical care quality ; Medical errors ; Medical quality ; Microbiology ; Mortality ; Nosocomial infections ; Nurses ; Patients ; Physicians ; Pneumonia ; Prophylaxis ; Provinces ; Quality control ; Quality improvement ; Quality improvement (QI) program ; Quality management ; Science &amp; Technology ; Sepsis ; Thrombosis</subject><ispartof>Critical care (London, England), 2020-03, Vol.24 (1), p.73-73, Article 73</ispartof><rights>COPYRIGHT 2020 BioMed Central Ltd.</rights><rights>2020. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s). 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>15</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000521070200001</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c560t-b8c2dd4f0316970f624203ac76251ae7cbb0a5346a68f3ceb05e6b17bae59ecb3</citedby><cites>FETCH-LOGICAL-c560t-b8c2dd4f0316970f624203ac76251ae7cbb0a5346a68f3ceb05e6b17bae59ecb3</cites><orcidid>0000-0002-0942-2870 ; 0000-0001-8523-8082</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/PMC7057512/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7057512/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,728,781,785,865,886,2103,2115,27929,27930,28253,53796,53798</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32131872$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>He, Huaiwu</creatorcontrib><creatorcontrib>Ma, Xudong</creatorcontrib><creatorcontrib>Su, Longxiang</creatorcontrib><creatorcontrib>Wang, Lu</creatorcontrib><creatorcontrib>Guo, Yanhong</creatorcontrib><creatorcontrib>Shan, Guangliang</creatorcontrib><creatorcontrib>He, Hui Jing</creatorcontrib><creatorcontrib>Zhou, Xiang</creatorcontrib><creatorcontrib>Liu, Dawei</creatorcontrib><creatorcontrib>Long, Yun</creatorcontrib><creatorcontrib>Zhao, Yupei</creatorcontrib><creatorcontrib>Zhang, Shuyang</creatorcontrib><creatorcontrib>Chian-NCCQC Grp</creatorcontrib><creatorcontrib>China-NCCQC group</creatorcontrib><creatorcontrib>China-NCCQC group</creatorcontrib><title>Effects of a national quality improvement program on ICUs in China: a controlled pre-post cohort study in 586 hospitals</title><title>Critical care (London, England)</title><addtitle>CRIT CARE</addtitle><addtitle>Crit Care</addtitle><description>Introduction Patient safety and critical care quality remain a challenging issue in the ICU. However, the effects of the national quality improvement (QI) program remain unknown in China. Methods A national ICU QI program was implemented in a controlled cohort of 586 hospitals from 2016 to 2018. The effects of the QI program on critical care quality were comprehensively investigated. Main results A total of 81,461,554 patients were enrolled in 586 hospitals, and 1,587,724 patients were admitted to the ICU over 3 years. In 2018, there was a significantly higher number of ICU beds (2016 vs. 2018: 10668 vs. 13,661, P = 0.0132) but a lower doctor-to-bed ratio (2016 vs. 2018: 0.64 (0.50, 0.83) vs. 0.60 (0.45, 0.75), P = 0.0016) and nurse-to-bed ratio (2016 vs. 2018: 2.00 (1.64, 2.50) vs. 2.00 (1.50, 2.40), P = 0.031) than in 2016. Continuous and significant improvements in the ventilator-associated pneumonia (VAP) incidence rate, microbiology detection rate before antibiotic use and deep vein thrombosis (DVT) prophylaxis rate were associated with the implementation of the QI program (VAP incidence rate (per 1000 ventilator-days), 2016 vs. 2017 vs. 2018: 11.06 (4.23, 22.70) vs. 10.20 (4.25, 23.94) vs. 8.05 (3.13, 17.37), P = 0.0002; microbiology detection rate before antibiotic use (%), 2016 vs. 2017 vs. 2018: 83.91 (49.75, 97.87) vs. 84.14 (60.46, 97.24) vs. 90.00 (69.62, 100), P &lt; 0.0001; DVT prophylaxis rate, 2016 vs. 2017 vs. 2018: 74.19 (33.47, 96.16) vs. 71.70 (38.05, 96.28) vs. 83.27 (47.36, 97.77), P = 0.0093). Moreover, the 6-h SSC bundle compliance rates in 2018 were significantly higher than those in 2016 (6-h SSC bundle compliance rate, 2016 vs. 2018: 64.93 (33.55, 93.06) vs. 76.19 (46.88, 96.67)). A significant change trend was not found in the ICU mortality rate from 2016 to 2018 (ICU mortality rate (%), 2016 vs. 2017 vs. 2018: 8.49 (4.42, 14.82) vs. 8.95 (4.89, 15.70) vs. 9.05 (5.12, 15.80), P = 0.1075). Conclusions The relationship between medical human resources and ICU overexpansion was mismatched during the past 3 years. The implementation of a national QI program improved ICU performance but did not reduce ICU mortality.</description><subject>Antibiotics</subject><subject>Catheters</subject><subject>China</subject><subject>Cohort analysis</subject><subject>Critical care</subject><subject>Critical Care Medicine</subject><subject>Evaluation</subject><subject>Evidence-based medicine</subject><subject>General &amp; Internal Medicine</subject><subject>Health care reform</subject><subject>Hospitals</subject><subject>ICU</subject><subject>Intensive care</subject><subject>Intervention</subject><subject>Life Sciences &amp; Biomedicine</subject><subject>Medical care quality</subject><subject>Medical errors</subject><subject>Medical quality</subject><subject>Microbiology</subject><subject>Mortality</subject><subject>Nosocomial infections</subject><subject>Nurses</subject><subject>Patients</subject><subject>Physicians</subject><subject>Pneumonia</subject><subject>Prophylaxis</subject><subject>Provinces</subject><subject>Quality control</subject><subject>Quality improvement</subject><subject>Quality improvement (QI) program</subject><subject>Quality management</subject><subject>Science &amp; Technology</subject><subject>Sepsis</subject><subject>Thrombosis</subject><issn>1364-8535</issn><issn>1466-609X</issn><issn>1364-8535</issn><issn>1366-609X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>AOWDO</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>DOA</sourceid><recordid>eNqNkk9vFCEYxidGY2v1A3gxJF5MzFT-DDDjoUkzqbpJEy828UaAgV02M7AFpk2_vUy3blzjQThAXn7PQ-B9quotgucItexTQgTSpoYY1ph3sEbPqlPUMFYz2P18XvaENXVLCT2pXqW0hRDxlpGX1QnBiKCW49Pq_spao3MCwQIJvMwueDmC21mOLj8AN-1iuDOT8RmU3TrKCQQPVv1NAs6DfuO8_FyEOvgcwziaoWCm3oWUS20TYgYpz8PDAtOWgU1IO5flmF5XL2xZzJun9ay6-XL1o_9WX3__uuovr2tNGcy1ajUehsZCgljHoWW4wZBIzRmmSBqulYKSkoZJ1lqijYLUMIW4koZ2RityVq32vkOQW7GLbpLxQQTpxGMhxLWQMTs9GsG4hS3Ug2JIN1gixa2WHcKdVVo1TBevi73XblaTGXT5lCjHI9PjE-82Yh3uBIeUU4SLwYcngxhuZ5OymFzSZhylN2FOAhOOWkq7Bhb0_V_oNsyxtOaRahnCuDT2QK1leYDzNpR79WIqLhlihDQdJIU6_wdV5mAmVzpnrCv1IwHaC3QMKUVjD29EUCzJE_vkiZI8sSRPoKJ59-fnHBS_o1aAj3vg3qhgk3bGa3PAIIQUI8iLYxmLXfv_dF8itQS3D7PP5BdF3fQ0</recordid><startdate>20200304</startdate><enddate>20200304</enddate><creator>He, Huaiwu</creator><creator>Ma, Xudong</creator><creator>Su, Longxiang</creator><creator>Wang, Lu</creator><creator>Guo, Yanhong</creator><creator>Shan, Guangliang</creator><creator>He, Hui Jing</creator><creator>Zhou, Xiang</creator><creator>Liu, Dawei</creator><creator>Long, Yun</creator><creator>Zhao, Yupei</creator><creator>Zhang, Shuyang</creator><general>Springer Nature</general><general>BioMed Central Ltd</general><general>BioMed Central</general><general>BMC</general><scope>AOWDO</scope><scope>BLEPL</scope><scope>DTL</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</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>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-0942-2870</orcidid><orcidid>https://orcid.org/0000-0001-8523-8082</orcidid></search><sort><creationdate>20200304</creationdate><title>Effects of a national quality improvement program on ICUs in China: a controlled pre-post cohort study in 586 hospitals</title><author>He, Huaiwu ; Ma, Xudong ; Su, Longxiang ; Wang, Lu ; Guo, Yanhong ; Shan, Guangliang ; He, Hui Jing ; Zhou, Xiang ; Liu, Dawei ; Long, Yun ; Zhao, Yupei ; Zhang, Shuyang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c560t-b8c2dd4f0316970f624203ac76251ae7cbb0a5346a68f3ceb05e6b17bae59ecb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Antibiotics</topic><topic>Catheters</topic><topic>China</topic><topic>Cohort analysis</topic><topic>Critical care</topic><topic>Critical Care Medicine</topic><topic>Evaluation</topic><topic>Evidence-based medicine</topic><topic>General &amp; Internal Medicine</topic><topic>Health care reform</topic><topic>Hospitals</topic><topic>ICU</topic><topic>Intensive care</topic><topic>Intervention</topic><topic>Life Sciences &amp; Biomedicine</topic><topic>Medical care quality</topic><topic>Medical errors</topic><topic>Medical quality</topic><topic>Microbiology</topic><topic>Mortality</topic><topic>Nosocomial infections</topic><topic>Nurses</topic><topic>Patients</topic><topic>Physicians</topic><topic>Pneumonia</topic><topic>Prophylaxis</topic><topic>Provinces</topic><topic>Quality control</topic><topic>Quality improvement</topic><topic>Quality improvement (QI) program</topic><topic>Quality management</topic><topic>Science &amp; Technology</topic><topic>Sepsis</topic><topic>Thrombosis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>He, Huaiwu</creatorcontrib><creatorcontrib>Ma, Xudong</creatorcontrib><creatorcontrib>Su, Longxiang</creatorcontrib><creatorcontrib>Wang, Lu</creatorcontrib><creatorcontrib>Guo, Yanhong</creatorcontrib><creatorcontrib>Shan, Guangliang</creatorcontrib><creatorcontrib>He, Hui Jing</creatorcontrib><creatorcontrib>Zhou, Xiang</creatorcontrib><creatorcontrib>Liu, Dawei</creatorcontrib><creatorcontrib>Long, Yun</creatorcontrib><creatorcontrib>Zhao, Yupei</creatorcontrib><creatorcontrib>Zhang, Shuyang</creatorcontrib><creatorcontrib>Chian-NCCQC Grp</creatorcontrib><creatorcontrib>China-NCCQC group</creatorcontrib><creatorcontrib>China-NCCQC group</creatorcontrib><collection>Web of Science - Science Citation Index Expanded - 2020</collection><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</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 &amp; Medical Complete (Alumni)</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Access via ProQuest (Open Access)</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 Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Critical care (London, England)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>He, Huaiwu</au><au>Ma, Xudong</au><au>Su, Longxiang</au><au>Wang, Lu</au><au>Guo, Yanhong</au><au>Shan, Guangliang</au><au>He, Hui Jing</au><au>Zhou, Xiang</au><au>Liu, Dawei</au><au>Long, Yun</au><au>Zhao, Yupei</au><au>Zhang, Shuyang</au><aucorp>Chian-NCCQC Grp</aucorp><aucorp>China-NCCQC group</aucorp><aucorp>China-NCCQC group</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Effects of a national quality improvement program on ICUs in China: a controlled pre-post cohort study in 586 hospitals</atitle><jtitle>Critical care (London, England)</jtitle><stitle>CRIT CARE</stitle><addtitle>Crit Care</addtitle><date>2020-03-04</date><risdate>2020</risdate><volume>24</volume><issue>1</issue><spage>73</spage><epage>73</epage><pages>73-73</pages><artnum>73</artnum><issn>1364-8535</issn><eissn>1466-609X</eissn><eissn>1364-8535</eissn><eissn>1366-609X</eissn><abstract>Introduction Patient safety and critical care quality remain a challenging issue in the ICU. However, the effects of the national quality improvement (QI) program remain unknown in China. Methods A national ICU QI program was implemented in a controlled cohort of 586 hospitals from 2016 to 2018. The effects of the QI program on critical care quality were comprehensively investigated. Main results A total of 81,461,554 patients were enrolled in 586 hospitals, and 1,587,724 patients were admitted to the ICU over 3 years. In 2018, there was a significantly higher number of ICU beds (2016 vs. 2018: 10668 vs. 13,661, P = 0.0132) but a lower doctor-to-bed ratio (2016 vs. 2018: 0.64 (0.50, 0.83) vs. 0.60 (0.45, 0.75), P = 0.0016) and nurse-to-bed ratio (2016 vs. 2018: 2.00 (1.64, 2.50) vs. 2.00 (1.50, 2.40), P = 0.031) than in 2016. Continuous and significant improvements in the ventilator-associated pneumonia (VAP) incidence rate, microbiology detection rate before antibiotic use and deep vein thrombosis (DVT) prophylaxis rate were associated with the implementation of the QI program (VAP incidence rate (per 1000 ventilator-days), 2016 vs. 2017 vs. 2018: 11.06 (4.23, 22.70) vs. 10.20 (4.25, 23.94) vs. 8.05 (3.13, 17.37), P = 0.0002; microbiology detection rate before antibiotic use (%), 2016 vs. 2017 vs. 2018: 83.91 (49.75, 97.87) vs. 84.14 (60.46, 97.24) vs. 90.00 (69.62, 100), P &lt; 0.0001; DVT prophylaxis rate, 2016 vs. 2017 vs. 2018: 74.19 (33.47, 96.16) vs. 71.70 (38.05, 96.28) vs. 83.27 (47.36, 97.77), P = 0.0093). Moreover, the 6-h SSC bundle compliance rates in 2018 were significantly higher than those in 2016 (6-h SSC bundle compliance rate, 2016 vs. 2018: 64.93 (33.55, 93.06) vs. 76.19 (46.88, 96.67)). A significant change trend was not found in the ICU mortality rate from 2016 to 2018 (ICU mortality rate (%), 2016 vs. 2017 vs. 2018: 8.49 (4.42, 14.82) vs. 8.95 (4.89, 15.70) vs. 9.05 (5.12, 15.80), P = 0.1075). Conclusions The relationship between medical human resources and ICU overexpansion was mismatched during the past 3 years. The implementation of a national QI program improved ICU performance but did not reduce ICU mortality.</abstract><cop>LONDON</cop><pub>Springer Nature</pub><pmid>32131872</pmid><doi>10.1186/s13054-020-2790-1</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0002-0942-2870</orcidid><orcidid>https://orcid.org/0000-0001-8523-8082</orcidid><oa>free_for_read</oa></addata></record>
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1364-8535
1366-609X
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subjects Antibiotics
Catheters
China
Cohort analysis
Critical care
Critical Care Medicine
Evaluation
Evidence-based medicine
General & Internal Medicine
Health care reform
Hospitals
ICU
Intensive care
Intervention
Life Sciences & Biomedicine
Medical care quality
Medical errors
Medical quality
Microbiology
Mortality
Nosocomial infections
Nurses
Patients
Physicians
Pneumonia
Prophylaxis
Provinces
Quality control
Quality improvement
Quality improvement (QI) program
Quality management
Science & Technology
Sepsis
Thrombosis
title Effects of a national quality improvement program on ICUs in China: a controlled pre-post cohort study in 586 hospitals
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