Global, regional, and national burden and quality of care of multiple myeloma, 1990-2019
Multiple myeloma (MM) is the second most common haematologic malignancy, presenting a great disease burden on the general population; however, the quality of care of MM is overlooked. We therefore assessed gains and disparity in quality of care worldwide from 1990 to 2019 based on a novel summary in...
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creator | Geng, Jiawei Zhao, Jianhui Fan, Rong Zhu, Zecheng Zhang, Yuchen Zhu, Yingshuang Yang, Yichi Xu, Liying Lin, Xiangjie Hu, Kejia Rudan, Igor Song, Peige Li, Xue Wu, Xifeng |
description | Multiple myeloma (MM) is the second most common haematologic malignancy, presenting a great disease burden on the general population; however, the quality of care of MM is overlooked. We therefore assessed gains and disparity in quality of care worldwide from 1990 to 2019 based on a novel summary indicator - the quality of care index (QCI) - and examined its potential for improvement.
Using the Global Burden of Disease 2019 data set, we calculated the QCI of MM for 195 countries and territories. We used the principal component analysis to extract the first principal component of ratios with the combinations of mortality to incidence, prevalence to incidence, disability-adjusted life years to prevalence, and years of life lost to years lived with disability as QCI. We also conducted a series of descriptive and comparative analyses of QCI disparities with age, gender, period, geographies, and sociodemographic development, and compared the QCI among countries with similar socio-demographic index (SDI) through frontier analysis.
The age-standardised rates of MM were 1.92 (95% uncertainty interval (UI) = 1.68, 2.12) in incidence and 1.42 (95% UI = 1.24, 1.52) in deaths per 100 000 population in 2019, and were predicted to increase in the future. The global age-standardised QCI increased from 51.31 in 1990 to 64.28 in 2019. In 2019, New Zealand had the highest QCI at 99.29 and the Central African Republic had the lowest QCI at 10.74. The gender disparity of QCI was reduced over the years, with the largest being observed in the sub-Saharan region. Regarding age, QCI maintained a decreasing trend in patients aged >60 in SDI quintiles. Generally, QCI improved with the SDI increase. Results of frontier analysis suggested that there is a potential to improve the quality of care across all levels of development spectrum.
Quality of care of MM improved during the past three decades, yet disparities in MM care remain across different countries, age groups, and genders. It is crucial to establish local objectives aimed at enhancing MM care and closing the gap in health care inequality. |
doi_str_mv | 10.7189/jogh.14.04033 |
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fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10832550</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2933494697</sourcerecordid><originalsourceid>FETCH-LOGICAL-c372t-dd110229ca48d06805d18f4d41eb93dc87568834c0c84e37eb928049d3ba1e183</originalsourceid><addsrcrecordid>eNpdkU1LxDAQhoMoKrpHr1Lw4sGuM0naJicR8QsELwreQppk1y5ps6atsP_edlcXdS4zmXl4mcxLyAnCtEAhLxdh_j5FPgUOjO2QQwq8SKkU-e62LsQBmbTtAoYokFGR75MDJqgcJnhI3u59KLW_SKKbV6EZK93YpNHd-pWUfbSuWfc-eu2rbpWEWWJ0dGOue99VS--SeuV8qPVFglJCSgHlMdmbad-6yXc-Iq93ty83D-nT8_3jzfVTalhBu9RaRKBUGs2FhVxAZlHMuOXoSsmsEUWWC8G4ASO4Y8XQpQK4tKzU6FCwI3K10V32Ze2scU0XtVfLWNU6rlTQlfo7aap3NQ-fCkEwmmUwKJx_K8Tw0bu2U3XVGue9blzoW0UlRUQBkA3o2T90Efo43GmkGOOS57IYqHRDmRjaNrrZdhsENfqmRt8UcrX2beBPf39hS_-4xL4AZ5-RgA</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2933494697</pqid></control><display><type>article</type><title>Global, regional, and national burden and quality of care of multiple myeloma, 1990-2019</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central Open Access</source><source>PubMed Central</source><creator>Geng, Jiawei ; Zhao, Jianhui ; Fan, Rong ; Zhu, Zecheng ; Zhang, Yuchen ; Zhu, Yingshuang ; Yang, Yichi ; Xu, Liying ; Lin, Xiangjie ; Hu, Kejia ; Rudan, Igor ; Song, Peige ; Li, Xue ; Wu, Xifeng</creator><creatorcontrib>Geng, Jiawei ; Zhao, Jianhui ; Fan, Rong ; Zhu, Zecheng ; Zhang, Yuchen ; Zhu, Yingshuang ; Yang, Yichi ; Xu, Liying ; Lin, Xiangjie ; Hu, Kejia ; Rudan, Igor ; Song, Peige ; Li, Xue ; Wu, Xifeng</creatorcontrib><description>Multiple myeloma (MM) is the second most common haematologic malignancy, presenting a great disease burden on the general population; however, the quality of care of MM is overlooked. We therefore assessed gains and disparity in quality of care worldwide from 1990 to 2019 based on a novel summary indicator - the quality of care index (QCI) - and examined its potential for improvement.
Using the Global Burden of Disease 2019 data set, we calculated the QCI of MM for 195 countries and territories. We used the principal component analysis to extract the first principal component of ratios with the combinations of mortality to incidence, prevalence to incidence, disability-adjusted life years to prevalence, and years of life lost to years lived with disability as QCI. We also conducted a series of descriptive and comparative analyses of QCI disparities with age, gender, period, geographies, and sociodemographic development, and compared the QCI among countries with similar socio-demographic index (SDI) through frontier analysis.
The age-standardised rates of MM were 1.92 (95% uncertainty interval (UI) = 1.68, 2.12) in incidence and 1.42 (95% UI = 1.24, 1.52) in deaths per 100 000 population in 2019, and were predicted to increase in the future. The global age-standardised QCI increased from 51.31 in 1990 to 64.28 in 2019. In 2019, New Zealand had the highest QCI at 99.29 and the Central African Republic had the lowest QCI at 10.74. The gender disparity of QCI was reduced over the years, with the largest being observed in the sub-Saharan region. Regarding age, QCI maintained a decreasing trend in patients aged >60 in SDI quintiles. Generally, QCI improved with the SDI increase. Results of frontier analysis suggested that there is a potential to improve the quality of care across all levels of development spectrum.
Quality of care of MM improved during the past three decades, yet disparities in MM care remain across different countries, age groups, and genders. It is crucial to establish local objectives aimed at enhancing MM care and closing the gap in health care inequality.</description><identifier>ISSN: 2047-2978</identifier><identifier>EISSN: 2047-2986</identifier><identifier>DOI: 10.7189/jogh.14.04033</identifier><identifier>PMID: 38299781</identifier><language>eng</language><publisher>Scotland: Edinburgh University Global Health Society</publisher><subject>Age ; Cancer ; Cost of Illness ; Disease ; Efficiency ; Female ; Global Burden of Disease ; Global Health ; Health care access ; Humans ; Incidence ; Male ; Measurement techniques ; Medical prognosis ; Mortality ; Multiple myeloma ; Multiple Myeloma - epidemiology ; Multiple Myeloma - therapy ; Population ; Prevalence ; Principal components analysis ; Quality of Health Care ; Sociodemographics ; Trends</subject><ispartof>Journal of global health, 2024-02, Vol.14, p.04033-04033, Article 04033</ispartof><rights>Copyright © 2024 by the Journal of Global Health. All rights reserved.</rights><rights>Copyright © 2024 by the Journal of Global Health. All rights reserved. This work is published under https://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>Copyright © 2024 by the Journal of Global Health. All rights reserved. 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c372t-dd110229ca48d06805d18f4d41eb93dc87568834c0c84e37eb928049d3ba1e183</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/PMC10832550/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10832550/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,728,781,785,865,886,27929,27930,53796,53798</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38299781$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Geng, Jiawei</creatorcontrib><creatorcontrib>Zhao, Jianhui</creatorcontrib><creatorcontrib>Fan, Rong</creatorcontrib><creatorcontrib>Zhu, Zecheng</creatorcontrib><creatorcontrib>Zhang, Yuchen</creatorcontrib><creatorcontrib>Zhu, Yingshuang</creatorcontrib><creatorcontrib>Yang, Yichi</creatorcontrib><creatorcontrib>Xu, Liying</creatorcontrib><creatorcontrib>Lin, Xiangjie</creatorcontrib><creatorcontrib>Hu, Kejia</creatorcontrib><creatorcontrib>Rudan, Igor</creatorcontrib><creatorcontrib>Song, Peige</creatorcontrib><creatorcontrib>Li, Xue</creatorcontrib><creatorcontrib>Wu, Xifeng</creatorcontrib><title>Global, regional, and national burden and quality of care of multiple myeloma, 1990-2019</title><title>Journal of global health</title><addtitle>J Glob Health</addtitle><description>Multiple myeloma (MM) is the second most common haematologic malignancy, presenting a great disease burden on the general population; however, the quality of care of MM is overlooked. We therefore assessed gains and disparity in quality of care worldwide from 1990 to 2019 based on a novel summary indicator - the quality of care index (QCI) - and examined its potential for improvement.
Using the Global Burden of Disease 2019 data set, we calculated the QCI of MM for 195 countries and territories. We used the principal component analysis to extract the first principal component of ratios with the combinations of mortality to incidence, prevalence to incidence, disability-adjusted life years to prevalence, and years of life lost to years lived with disability as QCI. We also conducted a series of descriptive and comparative analyses of QCI disparities with age, gender, period, geographies, and sociodemographic development, and compared the QCI among countries with similar socio-demographic index (SDI) through frontier analysis.
The age-standardised rates of MM were 1.92 (95% uncertainty interval (UI) = 1.68, 2.12) in incidence and 1.42 (95% UI = 1.24, 1.52) in deaths per 100 000 population in 2019, and were predicted to increase in the future. The global age-standardised QCI increased from 51.31 in 1990 to 64.28 in 2019. In 2019, New Zealand had the highest QCI at 99.29 and the Central African Republic had the lowest QCI at 10.74. The gender disparity of QCI was reduced over the years, with the largest being observed in the sub-Saharan region. Regarding age, QCI maintained a decreasing trend in patients aged >60 in SDI quintiles. Generally, QCI improved with the SDI increase. Results of frontier analysis suggested that there is a potential to improve the quality of care across all levels of development spectrum.
Quality of care of MM improved during the past three decades, yet disparities in MM care remain across different countries, age groups, and genders. It is crucial to establish local objectives aimed at enhancing MM care and closing the gap in health care inequality.</description><subject>Age</subject><subject>Cancer</subject><subject>Cost of Illness</subject><subject>Disease</subject><subject>Efficiency</subject><subject>Female</subject><subject>Global Burden of Disease</subject><subject>Global Health</subject><subject>Health care access</subject><subject>Humans</subject><subject>Incidence</subject><subject>Male</subject><subject>Measurement techniques</subject><subject>Medical prognosis</subject><subject>Mortality</subject><subject>Multiple myeloma</subject><subject>Multiple Myeloma - epidemiology</subject><subject>Multiple Myeloma - therapy</subject><subject>Population</subject><subject>Prevalence</subject><subject>Principal components analysis</subject><subject>Quality of Health Care</subject><subject>Sociodemographics</subject><subject>Trends</subject><issn>2047-2978</issn><issn>2047-2986</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpdkU1LxDAQhoMoKrpHr1Lw4sGuM0naJicR8QsELwreQppk1y5ps6atsP_edlcXdS4zmXl4mcxLyAnCtEAhLxdh_j5FPgUOjO2QQwq8SKkU-e62LsQBmbTtAoYokFGR75MDJqgcJnhI3u59KLW_SKKbV6EZK93YpNHd-pWUfbSuWfc-eu2rbpWEWWJ0dGOue99VS--SeuV8qPVFglJCSgHlMdmbad-6yXc-Iq93ty83D-nT8_3jzfVTalhBu9RaRKBUGs2FhVxAZlHMuOXoSsmsEUWWC8G4ASO4Y8XQpQK4tKzU6FCwI3K10V32Ze2scU0XtVfLWNU6rlTQlfo7aap3NQ-fCkEwmmUwKJx_K8Tw0bu2U3XVGue9blzoW0UlRUQBkA3o2T90Efo43GmkGOOS57IYqHRDmRjaNrrZdhsENfqmRt8UcrX2beBPf39hS_-4xL4AZ5-RgA</recordid><startdate>20240202</startdate><enddate>20240202</enddate><creator>Geng, Jiawei</creator><creator>Zhao, Jianhui</creator><creator>Fan, Rong</creator><creator>Zhu, Zecheng</creator><creator>Zhang, Yuchen</creator><creator>Zhu, Yingshuang</creator><creator>Yang, Yichi</creator><creator>Xu, Liying</creator><creator>Lin, Xiangjie</creator><creator>Hu, Kejia</creator><creator>Rudan, Igor</creator><creator>Song, Peige</creator><creator>Li, Xue</creator><creator>Wu, Xifeng</creator><general>Edinburgh University Global Health Society</general><general>International Society of Global Health</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>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>EHMNL</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>7X8</scope><scope>5PM</scope></search><sort><creationdate>20240202</creationdate><title>Global, regional, and national burden and quality of care of multiple myeloma, 1990-2019</title><author>Geng, Jiawei ; Zhao, Jianhui ; Fan, Rong ; Zhu, Zecheng ; Zhang, Yuchen ; Zhu, Yingshuang ; Yang, Yichi ; Xu, Liying ; Lin, Xiangjie ; Hu, Kejia ; Rudan, Igor ; Song, Peige ; Li, Xue ; Wu, Xifeng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c372t-dd110229ca48d06805d18f4d41eb93dc87568834c0c84e37eb928049d3ba1e183</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Age</topic><topic>Cancer</topic><topic>Cost of Illness</topic><topic>Disease</topic><topic>Efficiency</topic><topic>Female</topic><topic>Global Burden of Disease</topic><topic>Global Health</topic><topic>Health care access</topic><topic>Humans</topic><topic>Incidence</topic><topic>Male</topic><topic>Measurement techniques</topic><topic>Medical prognosis</topic><topic>Mortality</topic><topic>Multiple myeloma</topic><topic>Multiple Myeloma - epidemiology</topic><topic>Multiple Myeloma - therapy</topic><topic>Population</topic><topic>Prevalence</topic><topic>Principal components analysis</topic><topic>Quality of Health Care</topic><topic>Sociodemographics</topic><topic>Trends</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Geng, Jiawei</creatorcontrib><creatorcontrib>Zhao, Jianhui</creatorcontrib><creatorcontrib>Fan, Rong</creatorcontrib><creatorcontrib>Zhu, Zecheng</creatorcontrib><creatorcontrib>Zhang, Yuchen</creatorcontrib><creatorcontrib>Zhu, Yingshuang</creatorcontrib><creatorcontrib>Yang, Yichi</creatorcontrib><creatorcontrib>Xu, Liying</creatorcontrib><creatorcontrib>Lin, Xiangjie</creatorcontrib><creatorcontrib>Hu, Kejia</creatorcontrib><creatorcontrib>Rudan, Igor</creatorcontrib><creatorcontrib>Song, Peige</creatorcontrib><creatorcontrib>Li, Xue</creatorcontrib><creatorcontrib>Wu, Xifeng</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & 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>UK & Ireland Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & 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>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of global health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Geng, Jiawei</au><au>Zhao, Jianhui</au><au>Fan, Rong</au><au>Zhu, Zecheng</au><au>Zhang, Yuchen</au><au>Zhu, Yingshuang</au><au>Yang, Yichi</au><au>Xu, Liying</au><au>Lin, Xiangjie</au><au>Hu, Kejia</au><au>Rudan, Igor</au><au>Song, Peige</au><au>Li, Xue</au><au>Wu, Xifeng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Global, regional, and national burden and quality of care of multiple myeloma, 1990-2019</atitle><jtitle>Journal of global health</jtitle><addtitle>J Glob Health</addtitle><date>2024-02-02</date><risdate>2024</risdate><volume>14</volume><spage>04033</spage><epage>04033</epage><pages>04033-04033</pages><artnum>04033</artnum><issn>2047-2978</issn><eissn>2047-2986</eissn><abstract>Multiple myeloma (MM) is the second most common haematologic malignancy, presenting a great disease burden on the general population; however, the quality of care of MM is overlooked. We therefore assessed gains and disparity in quality of care worldwide from 1990 to 2019 based on a novel summary indicator - the quality of care index (QCI) - and examined its potential for improvement.
Using the Global Burden of Disease 2019 data set, we calculated the QCI of MM for 195 countries and territories. We used the principal component analysis to extract the first principal component of ratios with the combinations of mortality to incidence, prevalence to incidence, disability-adjusted life years to prevalence, and years of life lost to years lived with disability as QCI. We also conducted a series of descriptive and comparative analyses of QCI disparities with age, gender, period, geographies, and sociodemographic development, and compared the QCI among countries with similar socio-demographic index (SDI) through frontier analysis.
The age-standardised rates of MM were 1.92 (95% uncertainty interval (UI) = 1.68, 2.12) in incidence and 1.42 (95% UI = 1.24, 1.52) in deaths per 100 000 population in 2019, and were predicted to increase in the future. The global age-standardised QCI increased from 51.31 in 1990 to 64.28 in 2019. In 2019, New Zealand had the highest QCI at 99.29 and the Central African Republic had the lowest QCI at 10.74. The gender disparity of QCI was reduced over the years, with the largest being observed in the sub-Saharan region. Regarding age, QCI maintained a decreasing trend in patients aged >60 in SDI quintiles. Generally, QCI improved with the SDI increase. Results of frontier analysis suggested that there is a potential to improve the quality of care across all levels of development spectrum.
Quality of care of MM improved during the past three decades, yet disparities in MM care remain across different countries, age groups, and genders. It is crucial to establish local objectives aimed at enhancing MM care and closing the gap in health care inequality.</abstract><cop>Scotland</cop><pub>Edinburgh University Global Health Society</pub><pmid>38299781</pmid><doi>10.7189/jogh.14.04033</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Age Cancer Cost of Illness Disease Efficiency Female Global Burden of Disease Global Health Health care access Humans Incidence Male Measurement techniques Medical prognosis Mortality Multiple myeloma Multiple Myeloma - epidemiology Multiple Myeloma - therapy Population Prevalence Principal components analysis Quality of Health Care Sociodemographics Trends |
title | Global, regional, and national burden and quality of care of multiple myeloma, 1990-2019 |
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