Evaluation of the representativeness of data in the COVID-19 Registry Japan during the first six waves of the epidemic
The COVID-19 Registry Japan (COVIREGI-JP), a registry of patients hospitalized with coronavirus disease (COVID-19), contains the largest national COVID-19 inpatient population. Since COVIREGI-JP invites voluntary participation by facilities, selection bias is inevitable. The current study examined t...
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Veröffentlicht in: | Global Health & Medicine 2022/08/31, Vol.4(4), pp.204-209 |
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creator | Hayakawa, Kayoko Asai, Yusuke Matsunaga, Nobuaki Tsuzuki, Shinya Terada, Mari Suzuki, Setsuko Kitajima, Koji Saito, Sho Ohmagari, Norio |
description | The COVID-19 Registry Japan (COVIREGI-JP), a registry of patients hospitalized with coronavirus disease (COVID-19), contains the largest national COVID-19 inpatient population. Since COVIREGI-JP invites voluntary participation by facilities, selection bias is inevitable. The current study examined the representativeness of COVIREGI-JP data in comparison to open-source national data. The number of infections and deaths among hospitalized COVID-19 patients in COVIREGI-JP were compared to those in national data recorded during the six waves of the COVID-19 epidemic until March 6, 2022. During the period studied, patients in COVIREGI-JP represented 1% of the total COVID-19 cases according to national data; the proportion was high during the first wave (32.7%) and tended to decrease, especially after the fourth wave. The overall proportion of patients from each region varied from 0.8% to 2.5%, but case fatality rates in COVIREGI-JP tended to be higher than those in the national data, with the exception of a few waves, in several regions. The difference was smallest during the first wave. Although COVIREGI-JP consistently registered cases from all regions of the country, the proportion tended to decline after the beginning of the epidemic. Given the epidemiological persistence and the ever-changing epidemiology of COVID-19, continued case registration and data utilization in COVIREGI-JP is desirable, although selection bias in COVIREGI-JP registration of cases should be carefully interpreted. |
doi_str_mv | 10.35772/ghm.2022.01033 |
format | Article |
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Since COVIREGI-JP invites voluntary participation by facilities, selection bias is inevitable. The current study examined the representativeness of COVIREGI-JP data in comparison to open-source national data. The number of infections and deaths among hospitalized COVID-19 patients in COVIREGI-JP were compared to those in national data recorded during the six waves of the COVID-19 epidemic until March 6, 2022. During the period studied, patients in COVIREGI-JP represented 1% of the total COVID-19 cases according to national data; the proportion was high during the first wave (32.7%) and tended to decrease, especially after the fourth wave. The overall proportion of patients from each region varied from 0.8% to 2.5%, but case fatality rates in COVIREGI-JP tended to be higher than those in the national data, with the exception of a few waves, in several regions. The difference was smallest during the first wave. Although COVIREGI-JP consistently registered cases from all regions of the country, the proportion tended to decline after the beginning of the epidemic. Given the epidemiological persistence and the ever-changing epidemiology of COVID-19, continued case registration and data utilization in COVIREGI-JP is desirable, although selection bias in COVIREGI-JP registration of cases should be carefully interpreted.</description><identifier>ISSN: 2434-9186</identifier><identifier>ISSN: 2434-9194</identifier><identifier>EISSN: 2434-9194</identifier><identifier>DOI: 10.35772/ghm.2022.01033</identifier><identifier>PMID: 36119783</identifier><language>eng</language><publisher>Japan: National Center for Global Health and Medicine</publisher><subject>COVIREGI-JP ; epidemiology of COVID-19 ; pandemic ; Review ; selection bias</subject><ispartof>Global Health & Medicine, 2022/08/31, Vol.4(4), pp.204-209</ispartof><rights>2022 National Center for Global Health and Medicine</rights><rights>2022, National Center for Global Health and Medicine.</rights><rights>2022, National Center for Global Health and Medicine 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c529t-76b13c851bf2fe7622c125670004a4aba786a44c05e3a87c9ee19973691c9f773</citedby><cites>FETCH-LOGICAL-c529t-76b13c851bf2fe7622c125670004a4aba786a44c05e3a87c9ee19973691c9f773</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9420330/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9420330/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,723,776,780,881,1877,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36119783$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hayakawa, Kayoko</creatorcontrib><creatorcontrib>Asai, Yusuke</creatorcontrib><creatorcontrib>Matsunaga, Nobuaki</creatorcontrib><creatorcontrib>Tsuzuki, Shinya</creatorcontrib><creatorcontrib>Terada, Mari</creatorcontrib><creatorcontrib>Suzuki, Setsuko</creatorcontrib><creatorcontrib>Kitajima, Koji</creatorcontrib><creatorcontrib>Saito, Sho</creatorcontrib><creatorcontrib>Ohmagari, Norio</creatorcontrib><title>Evaluation of the representativeness of data in the COVID-19 Registry Japan during the first six waves of the epidemic</title><title>Global Health & Medicine</title><addtitle>GHM</addtitle><description>The COVID-19 Registry Japan (COVIREGI-JP), a registry of patients hospitalized with coronavirus disease (COVID-19), contains the largest national COVID-19 inpatient population. Since COVIREGI-JP invites voluntary participation by facilities, selection bias is inevitable. The current study examined the representativeness of COVIREGI-JP data in comparison to open-source national data. The number of infections and deaths among hospitalized COVID-19 patients in COVIREGI-JP were compared to those in national data recorded during the six waves of the COVID-19 epidemic until March 6, 2022. During the period studied, patients in COVIREGI-JP represented 1% of the total COVID-19 cases according to national data; the proportion was high during the first wave (32.7%) and tended to decrease, especially after the fourth wave. The overall proportion of patients from each region varied from 0.8% to 2.5%, but case fatality rates in COVIREGI-JP tended to be higher than those in the national data, with the exception of a few waves, in several regions. The difference was smallest during the first wave. Although COVIREGI-JP consistently registered cases from all regions of the country, the proportion tended to decline after the beginning of the epidemic. Given the epidemiological persistence and the ever-changing epidemiology of COVID-19, continued case registration and data utilization in COVIREGI-JP is desirable, although selection bias in COVIREGI-JP registration of cases should be carefully interpreted.</description><subject>COVIREGI-JP</subject><subject>epidemiology of COVID-19</subject><subject>pandemic</subject><subject>Review</subject><subject>selection bias</subject><issn>2434-9186</issn><issn>2434-9194</issn><issn>2434-9194</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNpVkU1v1DAQhi0EolXpmRvKkUu2_kocX5BgW6CoUiUEXK1Z7yTrKnGC7QT670mzbQD5YMvz-LHHLyGvGd2IQil-0Ry6DaecbyijQjwjp1wKmWum5fN1XZUn5DzGO0opLxingr4kJ6JkTKtKnJLpaoJ2hOR6n_V1lg6YBRwCRvRp3p3QY4wPlT0kyJxfiO3tj-vLnOnsKzYupnCffYEBfLYfg_PNgtQuxJRF9zv7BRPGJzcObo-ds6_IixraiOeP8xn5_vHq2_ZzfnP76Xr7_ia3BdcpV-WOCVsVbFfzGlXJuWW8KNXcjAQJO1BVCVJaWqCASlmNyLRWotTM6lopcUbeHb3DuOtwb-euArRmCK6DcG96cOb_incH0_ST0XL-KkFnwdtHQeh_jhiT6Vy02LbgsR-j4YoVqtKsrGb04oja0McYsF6vYdQsgZk5MPMQmFkCm0-8-fd1K_8Uzwx8OAJ3MUGDKwAhOdvi4pPL-Gtdi_YAwaAXfwA3C6mQ</recordid><startdate>20220831</startdate><enddate>20220831</enddate><creator>Hayakawa, Kayoko</creator><creator>Asai, Yusuke</creator><creator>Matsunaga, Nobuaki</creator><creator>Tsuzuki, Shinya</creator><creator>Terada, Mari</creator><creator>Suzuki, Setsuko</creator><creator>Kitajima, Koji</creator><creator>Saito, Sho</creator><creator>Ohmagari, Norio</creator><general>National Center for Global Health and Medicine</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20220831</creationdate><title>Evaluation of the representativeness of data in the COVID-19 Registry Japan during the first six waves of the epidemic</title><author>Hayakawa, Kayoko ; Asai, Yusuke ; Matsunaga, Nobuaki ; Tsuzuki, Shinya ; Terada, Mari ; Suzuki, Setsuko ; Kitajima, Koji ; Saito, Sho ; Ohmagari, Norio</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c529t-76b13c851bf2fe7622c125670004a4aba786a44c05e3a87c9ee19973691c9f773</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>COVIREGI-JP</topic><topic>epidemiology of COVID-19</topic><topic>pandemic</topic><topic>Review</topic><topic>selection bias</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hayakawa, Kayoko</creatorcontrib><creatorcontrib>Asai, Yusuke</creatorcontrib><creatorcontrib>Matsunaga, Nobuaki</creatorcontrib><creatorcontrib>Tsuzuki, Shinya</creatorcontrib><creatorcontrib>Terada, Mari</creatorcontrib><creatorcontrib>Suzuki, Setsuko</creatorcontrib><creatorcontrib>Kitajima, Koji</creatorcontrib><creatorcontrib>Saito, Sho</creatorcontrib><creatorcontrib>Ohmagari, Norio</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Global Health & Medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hayakawa, Kayoko</au><au>Asai, Yusuke</au><au>Matsunaga, Nobuaki</au><au>Tsuzuki, Shinya</au><au>Terada, Mari</au><au>Suzuki, Setsuko</au><au>Kitajima, Koji</au><au>Saito, Sho</au><au>Ohmagari, Norio</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluation of the representativeness of data in the COVID-19 Registry Japan during the first six waves of the epidemic</atitle><jtitle>Global Health & Medicine</jtitle><addtitle>GHM</addtitle><date>2022-08-31</date><risdate>2022</risdate><volume>4</volume><issue>4</issue><spage>204</spage><epage>209</epage><pages>204-209</pages><artnum>2022.01033</artnum><issn>2434-9186</issn><issn>2434-9194</issn><eissn>2434-9194</eissn><abstract>The COVID-19 Registry Japan (COVIREGI-JP), a registry of patients hospitalized with coronavirus disease (COVID-19), contains the largest national COVID-19 inpatient population. 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Although COVIREGI-JP consistently registered cases from all regions of the country, the proportion tended to decline after the beginning of the epidemic. Given the epidemiological persistence and the ever-changing epidemiology of COVID-19, continued case registration and data utilization in COVIREGI-JP is desirable, although selection bias in COVIREGI-JP registration of cases should be carefully interpreted.</abstract><cop>Japan</cop><pub>National Center for Global Health and Medicine</pub><pmid>36119783</pmid><doi>10.35772/ghm.2022.01033</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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subjects | COVIREGI-JP epidemiology of COVID-19 pandemic Review selection bias |
title | Evaluation of the representativeness of data in the COVID-19 Registry Japan during the first six waves of the epidemic |
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