Global costs, health benefits, and economic benefits of scaling up treatment and imaging modalities for survival of 11 cancers: a simulation-based analysis
In addition to increased availability of treatment modalities, advanced imaging modalities are increasingly recommended to improve global cancer care. However, estimates of the costs and benefits of investments to improve cancer survival are scarce, especially for low-income and middle-income countr...
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description | In addition to increased availability of treatment modalities, advanced imaging modalities are increasingly recommended to improve global cancer care. However, estimates of the costs and benefits of investments to improve cancer survival are scarce, especially for low-income and middle-income countries (LMICs). In this analysis, we aimed to estimate the costs and lifetime health and economic benefits of scaling up imaging and treatment modality packages on cancer survival, both globally and by country income group.
Using a previously developed model of global cancer survival, we estimated stage-specific cancer survival and life-years gained (accounting for competing mortality) in 200 countries and territories for patients diagnosed with one of 11 cancers (oesophagus, stomach, colon, rectum, anus, liver, pancreas, lung, breast, cervix uteri, and prostate) representing 60% of all cancer diagnoses between 2020 and 2030 (inclusive of full years). We evaluated the costs and health and economic benefits of scaling up packages of treatment (chemotherapy, surgery, radiotherapy, and targeted therapy), imaging modalities (ultrasound, x-ray, CT, MRI, PET, single-photon emission CT), and quality of care to the mean level of high-income countries, separately and in combination, compared with no scale-up. Costs and benefits are presented in 2018 US$ and discounted at 3% annually.
For the 11 cancers studied, we estimated that without scale-up (ie, with current availability of treatment, imaging, and quality of care) there will be 76·0 million cancer deaths (95% UI 73·9–78·6) globally for patients diagnosed between 2020 and 2030, with more than 70% of these deaths occurring in LMICs. Comprehensive scale-up of treatment, imaging, and quality of care could avert 12·5% (95% UI 9·0–16·3) of these deaths globally, ranging from 2·8% (1·8–4·3) in high-income countries to 38·2% (32·6–44·5) in low-income countries. Globally, we estimate that comprehensive scale-up would cost an additional $232·9 billion (95% UI 85·9–422·0) between 2020 and 2030 (representing a 6·9% increase in cancer treatment costs), but produce $2·9 trillion (1·8–4·0) in lifetime economic benefits, yielding a return of $12·43 (6·47–33·23) per dollar invested. Scaling up treatment and quality of care without imaging would yield a return of $6·15 (2·66–16·71) per dollar invested and avert 7·0% (3·9–10·3) of cancer deaths worldwide.
Simultaneous investment in cancer treatment, imaging, and quality of care could yie |
doi_str_mv | 10.1016/S1470-2045(20)30750-6 |
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Using a previously developed model of global cancer survival, we estimated stage-specific cancer survival and life-years gained (accounting for competing mortality) in 200 countries and territories for patients diagnosed with one of 11 cancers (oesophagus, stomach, colon, rectum, anus, liver, pancreas, lung, breast, cervix uteri, and prostate) representing 60% of all cancer diagnoses between 2020 and 2030 (inclusive of full years). We evaluated the costs and health and economic benefits of scaling up packages of treatment (chemotherapy, surgery, radiotherapy, and targeted therapy), imaging modalities (ultrasound, x-ray, CT, MRI, PET, single-photon emission CT), and quality of care to the mean level of high-income countries, separately and in combination, compared with no scale-up. Costs and benefits are presented in 2018 US$ and discounted at 3% annually.
For the 11 cancers studied, we estimated that without scale-up (ie, with current availability of treatment, imaging, and quality of care) there will be 76·0 million cancer deaths (95% UI 73·9–78·6) globally for patients diagnosed between 2020 and 2030, with more than 70% of these deaths occurring in LMICs. Comprehensive scale-up of treatment, imaging, and quality of care could avert 12·5% (95% UI 9·0–16·3) of these deaths globally, ranging from 2·8% (1·8–4·3) in high-income countries to 38·2% (32·6–44·5) in low-income countries. Globally, we estimate that comprehensive scale-up would cost an additional $232·9 billion (95% UI 85·9–422·0) between 2020 and 2030 (representing a 6·9% increase in cancer treatment costs), but produce $2·9 trillion (1·8–4·0) in lifetime economic benefits, yielding a return of $12·43 (6·47–33·23) per dollar invested. Scaling up treatment and quality of care without imaging would yield a return of $6·15 (2·66–16·71) per dollar invested and avert 7·0% (3·9–10·3) of cancer deaths worldwide.
Simultaneous investment in cancer treatment, imaging, and quality of care could yield substantial health and economic benefits, especially in LMICs. These results provide a compelling rationale for the value of investing in the global scale-up of cancer care.
Harvard TH Chan School of Public Health and National Cancer Institute.</description><identifier>ISSN: 1470-2045</identifier><identifier>EISSN: 1474-5488</identifier><identifier>DOI: 10.1016/S1470-2045(20)30750-6</identifier><identifier>PMID: 33662286</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Adolescent ; Adult ; Aged ; Anus ; Breast ; Cancer ; Cancer therapies ; Cervix ; Chemotherapy ; Colon ; Combined Modality Therapy ; Computed tomography ; Computer Simulation ; Cost analysis ; Delivery of Health Care ; Developing Countries ; Esophagus ; Estimates ; Female ; Follow-Up Studies ; Global Health ; Health Care Costs - trends ; Health Services - statistics & numerical data ; High income ; Humans ; Income ; Low income groups ; Magnetic resonance imaging ; Male ; Middle Aged ; Mortality ; Multimodal Imaging - methods ; Neoplasms - economics ; Neoplasms - mortality ; Neoplasms - pathology ; Neoplasms - therapy ; Pancreas ; Patients ; Population ; Prognosis ; Prostate ; Public health ; Radiation therapy ; Rectum ; Scaling ; Surgery ; Survival ; Survival Rate ; Ultrasonic imaging ; Ultrasound ; Young Adult</subject><ispartof>The lancet oncology, 2021-03, Vol.22 (3), p.341-350</ispartof><rights>2021 Elsevier Ltd</rights><rights>Copyright © 2021 Elsevier Ltd. All rights reserved.</rights><rights>2021. Elsevier Ltd</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3556-f5ea55efc0193bbcd299c9dec6f91a50ab5fb7159cf0b22ffca15434a441b1923</citedby><cites>FETCH-LOGICAL-c3556-f5ea55efc0193bbcd299c9dec6f91a50ab5fb7159cf0b22ffca15434a441b1923</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2494850366?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995,64385,64387,64389,72469</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33662286$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ward, Zachary J</creatorcontrib><creatorcontrib>Scott, Andrew M</creatorcontrib><creatorcontrib>Hricak, Hedvig</creatorcontrib><creatorcontrib>Atun, Rifat</creatorcontrib><title>Global costs, health benefits, and economic benefits of scaling up treatment and imaging modalities for survival of 11 cancers: a simulation-based analysis</title><title>The lancet oncology</title><addtitle>Lancet Oncol</addtitle><description>In addition to increased availability of treatment modalities, advanced imaging modalities are increasingly recommended to improve global cancer care. However, estimates of the costs and benefits of investments to improve cancer survival are scarce, especially for low-income and middle-income countries (LMICs). In this analysis, we aimed to estimate the costs and lifetime health and economic benefits of scaling up imaging and treatment modality packages on cancer survival, both globally and by country income group.
Using a previously developed model of global cancer survival, we estimated stage-specific cancer survival and life-years gained (accounting for competing mortality) in 200 countries and territories for patients diagnosed with one of 11 cancers (oesophagus, stomach, colon, rectum, anus, liver, pancreas, lung, breast, cervix uteri, and prostate) representing 60% of all cancer diagnoses between 2020 and 2030 (inclusive of full years). We evaluated the costs and health and economic benefits of scaling up packages of treatment (chemotherapy, surgery, radiotherapy, and targeted therapy), imaging modalities (ultrasound, x-ray, CT, MRI, PET, single-photon emission CT), and quality of care to the mean level of high-income countries, separately and in combination, compared with no scale-up. Costs and benefits are presented in 2018 US$ and discounted at 3% annually.
For the 11 cancers studied, we estimated that without scale-up (ie, with current availability of treatment, imaging, and quality of care) there will be 76·0 million cancer deaths (95% UI 73·9–78·6) globally for patients diagnosed between 2020 and 2030, with more than 70% of these deaths occurring in LMICs. Comprehensive scale-up of treatment, imaging, and quality of care could avert 12·5% (95% UI 9·0–16·3) of these deaths globally, ranging from 2·8% (1·8–4·3) in high-income countries to 38·2% (32·6–44·5) in low-income countries. Globally, we estimate that comprehensive scale-up would cost an additional $232·9 billion (95% UI 85·9–422·0) between 2020 and 2030 (representing a 6·9% increase in cancer treatment costs), but produce $2·9 trillion (1·8–4·0) in lifetime economic benefits, yielding a return of $12·43 (6·47–33·23) per dollar invested. Scaling up treatment and quality of care without imaging would yield a return of $6·15 (2·66–16·71) per dollar invested and avert 7·0% (3·9–10·3) of cancer deaths worldwide.
Simultaneous investment in cancer treatment, imaging, and quality of care could yield substantial health and economic benefits, especially in LMICs. These results provide a compelling rationale for the value of investing in the global scale-up of cancer care.
Harvard TH Chan School of Public Health and National Cancer Institute.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Anus</subject><subject>Breast</subject><subject>Cancer</subject><subject>Cancer therapies</subject><subject>Cervix</subject><subject>Chemotherapy</subject><subject>Colon</subject><subject>Combined Modality Therapy</subject><subject>Computed tomography</subject><subject>Computer Simulation</subject><subject>Cost analysis</subject><subject>Delivery of Health Care</subject><subject>Developing Countries</subject><subject>Esophagus</subject><subject>Estimates</subject><subject>Female</subject><subject>Follow-Up Studies</subject><subject>Global Health</subject><subject>Health Care Costs - trends</subject><subject>Health Services - statistics & numerical data</subject><subject>High income</subject><subject>Humans</subject><subject>Income</subject><subject>Low income groups</subject><subject>Magnetic resonance imaging</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Multimodal Imaging - methods</subject><subject>Neoplasms - economics</subject><subject>Neoplasms - mortality</subject><subject>Neoplasms - pathology</subject><subject>Neoplasms - therapy</subject><subject>Pancreas</subject><subject>Patients</subject><subject>Population</subject><subject>Prognosis</subject><subject>Prostate</subject><subject>Public health</subject><subject>Radiation therapy</subject><subject>Rectum</subject><subject>Scaling</subject><subject>Surgery</subject><subject>Survival</subject><subject>Survival Rate</subject><subject>Ultrasonic imaging</subject><subject>Ultrasound</subject><subject>Young Adult</subject><issn>1470-2045</issn><issn>1474-5488</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNqFkc1u1TAQhSMEoj_wCCBLbIpEwE5s35tuEKpKQarEAlhbY2fcukrii8e5Up-Fl8XJLV2wYWNb4--cGc2pqleCvxdc6A_fhdzwuuFSnTX8bcs3itf6SXVcyrJWcrt9ur4PyFF1QnTHudgIrp5XR22rddNs9XH1-2qIFgbmImV6x24RhnzLLE7ow1KAqWfo4hTH4B7LLHpGDoYw3bB5x3JCyCNOeaXDCDfLxxj7QuSAxHxMjOa0D_vSqWiFYA4mh4nOGTAK4zxADnGqLRD2xQWGewr0onrmYSB8-XCfVj8_X_64-FJff7v6evHpunatUrr2CkEp9I6LrrXW9U3Xua5Hp30nQHGwytuNUJ3z3DaN9w6Ekq0EKYUVXdOeVmcH312Kv2akbMZADocBJowzmUZ2W8Vb2emCvvkHvYtzKvOulFwwvVDqQLkUiRJ6s0tlLeneCG6W9MyanlmiKYdZ0zOL7vWD-2xH7B9Vf-MqwMcDgGUd-4DJkAtYNtmHhC6bPob_tPgDDc2rVw</recordid><startdate>202103</startdate><enddate>202103</enddate><creator>Ward, Zachary J</creator><creator>Scott, Andrew M</creator><creator>Hricak, Hedvig</creator><creator>Atun, Rifat</creator><general>Elsevier Ltd</general><general>Elsevier Limited</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>0TZ</scope><scope>3V.</scope><scope>7RV</scope><scope>7TO</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8C2</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H94</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope></search><sort><creationdate>202103</creationdate><title>Global costs, health benefits, and economic benefits of scaling up treatment and imaging modalities for survival of 11 cancers: a simulation-based analysis</title><author>Ward, Zachary J ; Scott, Andrew M ; Hricak, Hedvig ; Atun, Rifat</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3556-f5ea55efc0193bbcd299c9dec6f91a50ab5fb7159cf0b22ffca15434a441b1923</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Anus</topic><topic>Breast</topic><topic>Cancer</topic><topic>Cancer therapies</topic><topic>Cervix</topic><topic>Chemotherapy</topic><topic>Colon</topic><topic>Combined Modality Therapy</topic><topic>Computed tomography</topic><topic>Computer Simulation</topic><topic>Cost analysis</topic><topic>Delivery of Health Care</topic><topic>Developing Countries</topic><topic>Esophagus</topic><topic>Estimates</topic><topic>Female</topic><topic>Follow-Up Studies</topic><topic>Global Health</topic><topic>Health Care Costs - trends</topic><topic>Health Services - statistics & numerical data</topic><topic>High income</topic><topic>Humans</topic><topic>Income</topic><topic>Low income groups</topic><topic>Magnetic resonance imaging</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Mortality</topic><topic>Multimodal Imaging - methods</topic><topic>Neoplasms - economics</topic><topic>Neoplasms - mortality</topic><topic>Neoplasms - pathology</topic><topic>Neoplasms - therapy</topic><topic>Pancreas</topic><topic>Patients</topic><topic>Population</topic><topic>Prognosis</topic><topic>Prostate</topic><topic>Public health</topic><topic>Radiation therapy</topic><topic>Rectum</topic><topic>Scaling</topic><topic>Surgery</topic><topic>Survival</topic><topic>Survival Rate</topic><topic>Ultrasonic imaging</topic><topic>Ultrasound</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ward, Zachary J</creatorcontrib><creatorcontrib>Scott, Andrew M</creatorcontrib><creatorcontrib>Hricak, Hedvig</creatorcontrib><creatorcontrib>Atun, Rifat</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Pharma and Biotech Premium PRO</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Lancet Titles</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</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Nursing & Allied Health Premium</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><jtitle>The lancet oncology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ward, Zachary J</au><au>Scott, Andrew M</au><au>Hricak, Hedvig</au><au>Atun, Rifat</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Global costs, health benefits, and economic benefits of scaling up treatment and imaging modalities for survival of 11 cancers: a simulation-based analysis</atitle><jtitle>The lancet oncology</jtitle><addtitle>Lancet Oncol</addtitle><date>2021-03</date><risdate>2021</risdate><volume>22</volume><issue>3</issue><spage>341</spage><epage>350</epage><pages>341-350</pages><issn>1470-2045</issn><eissn>1474-5488</eissn><abstract>In addition to increased availability of treatment modalities, advanced imaging modalities are increasingly recommended to improve global cancer care. However, estimates of the costs and benefits of investments to improve cancer survival are scarce, especially for low-income and middle-income countries (LMICs). In this analysis, we aimed to estimate the costs and lifetime health and economic benefits of scaling up imaging and treatment modality packages on cancer survival, both globally and by country income group.
Using a previously developed model of global cancer survival, we estimated stage-specific cancer survival and life-years gained (accounting for competing mortality) in 200 countries and territories for patients diagnosed with one of 11 cancers (oesophagus, stomach, colon, rectum, anus, liver, pancreas, lung, breast, cervix uteri, and prostate) representing 60% of all cancer diagnoses between 2020 and 2030 (inclusive of full years). We evaluated the costs and health and economic benefits of scaling up packages of treatment (chemotherapy, surgery, radiotherapy, and targeted therapy), imaging modalities (ultrasound, x-ray, CT, MRI, PET, single-photon emission CT), and quality of care to the mean level of high-income countries, separately and in combination, compared with no scale-up. Costs and benefits are presented in 2018 US$ and discounted at 3% annually.
For the 11 cancers studied, we estimated that without scale-up (ie, with current availability of treatment, imaging, and quality of care) there will be 76·0 million cancer deaths (95% UI 73·9–78·6) globally for patients diagnosed between 2020 and 2030, with more than 70% of these deaths occurring in LMICs. Comprehensive scale-up of treatment, imaging, and quality of care could avert 12·5% (95% UI 9·0–16·3) of these deaths globally, ranging from 2·8% (1·8–4·3) in high-income countries to 38·2% (32·6–44·5) in low-income countries. Globally, we estimate that comprehensive scale-up would cost an additional $232·9 billion (95% UI 85·9–422·0) between 2020 and 2030 (representing a 6·9% increase in cancer treatment costs), but produce $2·9 trillion (1·8–4·0) in lifetime economic benefits, yielding a return of $12·43 (6·47–33·23) per dollar invested. Scaling up treatment and quality of care without imaging would yield a return of $6·15 (2·66–16·71) per dollar invested and avert 7·0% (3·9–10·3) of cancer deaths worldwide.
Simultaneous investment in cancer treatment, imaging, and quality of care could yield substantial health and economic benefits, especially in LMICs. These results provide a compelling rationale for the value of investing in the global scale-up of cancer care.
Harvard TH Chan School of Public Health and National Cancer Institute.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>33662286</pmid><doi>10.1016/S1470-2045(20)30750-6</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adolescent Adult Aged Anus Breast Cancer Cancer therapies Cervix Chemotherapy Colon Combined Modality Therapy Computed tomography Computer Simulation Cost analysis Delivery of Health Care Developing Countries Esophagus Estimates Female Follow-Up Studies Global Health Health Care Costs - trends Health Services - statistics & numerical data High income Humans Income Low income groups Magnetic resonance imaging Male Middle Aged Mortality Multimodal Imaging - methods Neoplasms - economics Neoplasms - mortality Neoplasms - pathology Neoplasms - therapy Pancreas Patients Population Prognosis Prostate Public health Radiation therapy Rectum Scaling Surgery Survival Survival Rate Ultrasonic imaging Ultrasound Young Adult |
title | Global costs, health benefits, and economic benefits of scaling up treatment and imaging modalities for survival of 11 cancers: a simulation-based analysis |
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