Resource use and costs of investigator-sponsored randomized clinical trials in Switzerland, Germany, and the United Kingdom: a metaresearch study
Conducting high-quality randomized clinical trials (RCTs) is challenging and resource intensive. Funders and academic investigators depend on limited financial resources and, therefore, need empirical data for optimal budget planning. However, current literature lacks detailed empirical data on reso...
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Veröffentlicht in: | Journal of clinical epidemiology 2024-12, Vol.176, p.111536, Article 111536 |
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creator | Griessbach, Alexandra Speich, Benjamin Amstutz, Alain Hausheer, Lena Covino, Manuela Wnfried Ramirez, Hillary Schandelmaier, Stefan Taji Heravi, Ala Treweek, Shaun Schwenkglenks, Matthias Briel, Matthias Speich, Benjamin von Niederhäusern, Belinda Hemkens, Lars G. Amstutz, Alain Kasenda, Benjamin Pauli-Magnus, Christiane Schwenkglenks, Matthias Briel, Matthias Griessbach, Alexandra McLennan, Stuart Schandelmaier, Stefan Taji Heravi, Ala Treweek, Shaun |
description | Conducting high-quality randomized clinical trials (RCTs) is challenging and resource intensive. Funders and academic investigators depend on limited financial resources and, therefore, need empirical data for optimal budget planning. However, current literature lacks detailed empirical data on resource use and costs of investigator-sponsored RCTs. The aim of this study is to systematically collect cost data from investigator-sponsored RCTs from Switzerland, Germany, and the United Kingdom (UK).
Principal investigators were asked to share their RCT cost and resource use data and enter it into an online case report form. We assessed cost patterns, cost drivers, and specific cost items, examined costs by study phase (planning-, conduct-, and finalization phase), compared planned with actual RCT costs, and explored differences in cost patterns across countries, medical fields, and intervention types.
We included 93 RCTs which were initiated in Switzerland (n = 53; including eight conducted in low- and lower middle-income countries), Germany (n = 22), and the UK (n = 18). The median total trial cost in our RCT sample was $645,824 [interquartile range (IQR), $269,846–$1,577,924]. The median proportion of the total costs spent for planning phase was 27.5% [IQR, 20.6%–39.7%], for conduct phase 57.3% [IQR, 44.4%–66.3%], and for finalization phase 12.7% [IQR, 8.5%–19.3%] with little variation across countries. The items that contributed most to the total costs were protocol writing (7.2%; IQR 3.8%–10.6%), data management (5.0%; IQR 2.2%–8.1%) and follow-up (4.5%; IQR 2.3%–8.4%). Of the 66 RCTs with an available original budget, 46 (69.7%) exceeded the budget by over 50%. Use of routinely collected data to assess primary outcomes was independently associated with lower per patient- and lower total trial costs.
Over a quarter of total trial costs were incurred in the planning phase, which is typically not fully funded. Two-thirds of RCTs exceeded their budget by more than 50%. Investigators and funders should consider empirical cost data to improve budgeting and funding practices.
•Over a quarter (27.5%) of total trial costs were incurred in the trial planning phase.•Seventy percentage of RCTs exceeded their budget by more than 50%.•Key costs were protocol writing (7.2%), data management (5.0%), and follow-up (4.5%).•Factors associated with higher total cost included number of centers and longer duration.•Trials using routinely collected data for primary outcomes wer |
doi_str_mv | 10.1016/j.jclinepi.2024.111536 |
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Principal investigators were asked to share their RCT cost and resource use data and enter it into an online case report form. We assessed cost patterns, cost drivers, and specific cost items, examined costs by study phase (planning-, conduct-, and finalization phase), compared planned with actual RCT costs, and explored differences in cost patterns across countries, medical fields, and intervention types.
We included 93 RCTs which were initiated in Switzerland (n = 53; including eight conducted in low- and lower middle-income countries), Germany (n = 22), and the UK (n = 18). The median total trial cost in our RCT sample was $645,824 [interquartile range (IQR), $269,846–$1,577,924]. The median proportion of the total costs spent for planning phase was 27.5% [IQR, 20.6%–39.7%], for conduct phase 57.3% [IQR, 44.4%–66.3%], and for finalization phase 12.7% [IQR, 8.5%–19.3%] with little variation across countries. The items that contributed most to the total costs were protocol writing (7.2%; IQR 3.8%–10.6%), data management (5.0%; IQR 2.2%–8.1%) and follow-up (4.5%; IQR 2.3%–8.4%). Of the 66 RCTs with an available original budget, 46 (69.7%) exceeded the budget by over 50%. Use of routinely collected data to assess primary outcomes was independently associated with lower per patient- and lower total trial costs.
Over a quarter of total trial costs were incurred in the planning phase, which is typically not fully funded. Two-thirds of RCTs exceeded their budget by more than 50%. Investigators and funders should consider empirical cost data to improve budgeting and funding practices.
•Over a quarter (27.5%) of total trial costs were incurred in the trial planning phase.•Seventy percentage of RCTs exceeded their budget by more than 50%.•Key costs were protocol writing (7.2%), data management (5.0%), and follow-up (4.5%).•Factors associated with higher total cost included number of centers and longer duration.•Trials using routinely collected data for primary outcomes were associated with lower costs.</description><identifier>ISSN: 0895-4356</identifier><identifier>ISSN: 1878-5921</identifier><identifier>EISSN: 1878-5921</identifier><identifier>DOI: 10.1016/j.jclinepi.2024.111536</identifier><identifier>PMID: 39307405</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Budget ; Budgets ; Clinical trials ; Costs ; Costs and Cost Analysis ; Data collection ; Data management ; Funding ; Germany ; Health Resources - economics ; Health Resources - statistics & numerical data ; Humans ; Medical research ; Oncology ; Randomized controlled trials ; Randomized Controlled Trials as Topic - economics ; Randomized Controlled Trials as Topic - statistics & numerical data ; Regression analysis ; Research Personnel - economics ; Research Personnel - statistics & numerical data ; Resource-use ; Switzerland ; United Kingdom ; Variables</subject><ispartof>Journal of clinical epidemiology, 2024-12, Vol.176, p.111536, Article 111536</ispartof><rights>2024 The Authors</rights><rights>Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.</rights><rights>2024. The Authors</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c273t-f6b82e37e79f84124bf1a6e73d30f5d850498ab061a805d88e8e3c3baf6aa80e3</cites><orcidid>0000-0002-2070-5230 ; 0000-0002-3301-8085 ; 0000-0003-1716-993X ; 0000-0002-8429-0337 ; 0000-0003-3726-1856 ; 0000-0003-3752-1611</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.jclinepi.2024.111536$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39307405$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Griessbach, Alexandra</creatorcontrib><creatorcontrib>Speich, Benjamin</creatorcontrib><creatorcontrib>Amstutz, Alain</creatorcontrib><creatorcontrib>Hausheer, Lena</creatorcontrib><creatorcontrib>Covino, Manuela</creatorcontrib><creatorcontrib>Wnfried Ramirez, Hillary</creatorcontrib><creatorcontrib>Schandelmaier, Stefan</creatorcontrib><creatorcontrib>Taji Heravi, Ala</creatorcontrib><creatorcontrib>Treweek, Shaun</creatorcontrib><creatorcontrib>Schwenkglenks, Matthias</creatorcontrib><creatorcontrib>Briel, Matthias</creatorcontrib><creatorcontrib>Speich, Benjamin</creatorcontrib><creatorcontrib>von Niederhäusern, Belinda</creatorcontrib><creatorcontrib>Hemkens, Lars G.</creatorcontrib><creatorcontrib>Amstutz, Alain</creatorcontrib><creatorcontrib>Kasenda, Benjamin</creatorcontrib><creatorcontrib>Pauli-Magnus, Christiane</creatorcontrib><creatorcontrib>Schwenkglenks, Matthias</creatorcontrib><creatorcontrib>Briel, Matthias</creatorcontrib><creatorcontrib>Griessbach, Alexandra</creatorcontrib><creatorcontrib>McLennan, Stuart</creatorcontrib><creatorcontrib>Schandelmaier, Stefan</creatorcontrib><creatorcontrib>Taji Heravi, Ala</creatorcontrib><creatorcontrib>Treweek, Shaun</creatorcontrib><creatorcontrib>MAking Randomized Trials Affordable (MARTA) Group</creatorcontrib><creatorcontrib>MAking Randomized Trials Affordable (MARTA) Group</creatorcontrib><title>Resource use and costs of investigator-sponsored randomized clinical trials in Switzerland, Germany, and the United Kingdom: a metaresearch study</title><title>Journal of clinical epidemiology</title><addtitle>J Clin Epidemiol</addtitle><description>Conducting high-quality randomized clinical trials (RCTs) is challenging and resource intensive. Funders and academic investigators depend on limited financial resources and, therefore, need empirical data for optimal budget planning. However, current literature lacks detailed empirical data on resource use and costs of investigator-sponsored RCTs. The aim of this study is to systematically collect cost data from investigator-sponsored RCTs from Switzerland, Germany, and the United Kingdom (UK).
Principal investigators were asked to share their RCT cost and resource use data and enter it into an online case report form. We assessed cost patterns, cost drivers, and specific cost items, examined costs by study phase (planning-, conduct-, and finalization phase), compared planned with actual RCT costs, and explored differences in cost patterns across countries, medical fields, and intervention types.
We included 93 RCTs which were initiated in Switzerland (n = 53; including eight conducted in low- and lower middle-income countries), Germany (n = 22), and the UK (n = 18). The median total trial cost in our RCT sample was $645,824 [interquartile range (IQR), $269,846–$1,577,924]. The median proportion of the total costs spent for planning phase was 27.5% [IQR, 20.6%–39.7%], for conduct phase 57.3% [IQR, 44.4%–66.3%], and for finalization phase 12.7% [IQR, 8.5%–19.3%] with little variation across countries. The items that contributed most to the total costs were protocol writing (7.2%; IQR 3.8%–10.6%), data management (5.0%; IQR 2.2%–8.1%) and follow-up (4.5%; IQR 2.3%–8.4%). Of the 66 RCTs with an available original budget, 46 (69.7%) exceeded the budget by over 50%. Use of routinely collected data to assess primary outcomes was independently associated with lower per patient- and lower total trial costs.
Over a quarter of total trial costs were incurred in the planning phase, which is typically not fully funded. Two-thirds of RCTs exceeded their budget by more than 50%. Investigators and funders should consider empirical cost data to improve budgeting and funding practices.
•Over a quarter (27.5%) of total trial costs were incurred in the trial planning phase.•Seventy percentage of RCTs exceeded their budget by more than 50%.•Key costs were protocol writing (7.2%), data management (5.0%), and follow-up (4.5%).•Factors associated with higher total cost included number of centers and longer duration.•Trials using routinely collected data for primary outcomes were associated with lower costs.</description><subject>Budget</subject><subject>Budgets</subject><subject>Clinical trials</subject><subject>Costs</subject><subject>Costs and Cost Analysis</subject><subject>Data collection</subject><subject>Data management</subject><subject>Funding</subject><subject>Germany</subject><subject>Health Resources - economics</subject><subject>Health Resources - statistics & numerical data</subject><subject>Humans</subject><subject>Medical research</subject><subject>Oncology</subject><subject>Randomized controlled trials</subject><subject>Randomized Controlled Trials as Topic - economics</subject><subject>Randomized Controlled Trials as Topic - statistics & numerical data</subject><subject>Regression analysis</subject><subject>Research Personnel - economics</subject><subject>Research Personnel - statistics & numerical data</subject><subject>Resource-use</subject><subject>Switzerland</subject><subject>United Kingdom</subject><subject>Variables</subject><issn>0895-4356</issn><issn>1878-5921</issn><issn>1878-5921</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkc1u1DAUhS0EosPAK1SW2LBoBjuOE4cVqCoFUakS0LXlODeto8QebKdo-hZ9Y-4wLQs2XflH3zm-PoeQY842nPH6_bgZ7eQ8bN2mZGW14ZxLUT8jK64aVci25M_JiqlWFpWQ9RF5ldLIGG9YI1-SI9EK1lRMrsj9d0hhiRbokoAa31MbUk40DNT5W0jZXZscYpG2wacQoacRoTC7O9zuJ3DWTDRHZ6aECvrjt8t3ECeETug5xNn43clf33wD9Mq7jLpvzl-jxwdq6AzZREhgor2hKS_97jV5MaAZvHlY1-Tq89nP0y_FxeX519NPF4UtG5GLoe5UCaKBph1UxcuqG7ipoRG9YIPslWRVq0zHam4Uw7MCBcKKzgy1wRsQa_Lu4LuN4deCP9WzSxYmHB3CkrTgTAnVcsxqTd7-h46YmcfpkKpEKYSoJFL1gbIxpBRh0NvoZhN3mjO9L02P-rE0vS9NH0pD4fGD_dLN0P-TPbaEwMcDAJjHrYOok3XgLfQugs26D-6pN_4ANCmtxw</recordid><startdate>202412</startdate><enddate>202412</enddate><creator>Griessbach, Alexandra</creator><creator>Speich, Benjamin</creator><creator>Amstutz, Alain</creator><creator>Hausheer, Lena</creator><creator>Covino, Manuela</creator><creator>Wnfried Ramirez, Hillary</creator><creator>Schandelmaier, Stefan</creator><creator>Taji Heravi, Ala</creator><creator>Treweek, Shaun</creator><creator>Schwenkglenks, Matthias</creator><creator>Briel, Matthias</creator><creator>Speich, Benjamin</creator><creator>von Niederhäusern, Belinda</creator><creator>Hemkens, Lars G.</creator><creator>Amstutz, Alain</creator><creator>Kasenda, Benjamin</creator><creator>Pauli-Magnus, Christiane</creator><creator>Schwenkglenks, Matthias</creator><creator>Briel, Matthias</creator><creator>Griessbach, Alexandra</creator><creator>McLennan, Stuart</creator><creator>Schandelmaier, Stefan</creator><creator>Taji Heravi, Ala</creator><creator>Treweek, Shaun</creator><general>Elsevier Inc</general><general>Elsevier Limited</general><scope>6I.</scope><scope>AAFTH</scope><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>7QL</scope><scope>7QP</scope><scope>7T2</scope><scope>7T7</scope><scope>7TK</scope><scope>7U7</scope><scope>7U9</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H94</scope><scope>K9.</scope><scope>M7N</scope><scope>NAPCQ</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-2070-5230</orcidid><orcidid>https://orcid.org/0000-0002-3301-8085</orcidid><orcidid>https://orcid.org/0000-0003-1716-993X</orcidid><orcidid>https://orcid.org/0000-0002-8429-0337</orcidid><orcidid>https://orcid.org/0000-0003-3726-1856</orcidid><orcidid>https://orcid.org/0000-0003-3752-1611</orcidid></search><sort><creationdate>202412</creationdate><title>Resource use and costs of investigator-sponsored randomized clinical trials in Switzerland, Germany, and the United Kingdom: a metaresearch study</title><author>Griessbach, Alexandra ; Speich, Benjamin ; Amstutz, Alain ; Hausheer, Lena ; Covino, Manuela ; Wnfried Ramirez, Hillary ; Schandelmaier, Stefan ; Taji Heravi, Ala ; Treweek, Shaun ; Schwenkglenks, Matthias ; Briel, Matthias ; Speich, Benjamin ; von Niederhäusern, Belinda ; Hemkens, Lars G. ; Amstutz, Alain ; Kasenda, Benjamin ; Pauli-Magnus, Christiane ; Schwenkglenks, Matthias ; Briel, Matthias ; Griessbach, Alexandra ; McLennan, Stuart ; Schandelmaier, Stefan ; Taji Heravi, Ala ; Treweek, Shaun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c273t-f6b82e37e79f84124bf1a6e73d30f5d850498ab061a805d88e8e3c3baf6aa80e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Budget</topic><topic>Budgets</topic><topic>Clinical trials</topic><topic>Costs</topic><topic>Costs and Cost Analysis</topic><topic>Data collection</topic><topic>Data management</topic><topic>Funding</topic><topic>Germany</topic><topic>Health Resources - 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Academic</collection><jtitle>Journal of clinical epidemiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Griessbach, Alexandra</au><au>Speich, Benjamin</au><au>Amstutz, Alain</au><au>Hausheer, Lena</au><au>Covino, Manuela</au><au>Wnfried Ramirez, Hillary</au><au>Schandelmaier, Stefan</au><au>Taji Heravi, Ala</au><au>Treweek, Shaun</au><au>Schwenkglenks, Matthias</au><au>Briel, Matthias</au><au>Speich, Benjamin</au><au>von Niederhäusern, Belinda</au><au>Hemkens, Lars G.</au><au>Amstutz, Alain</au><au>Kasenda, Benjamin</au><au>Pauli-Magnus, Christiane</au><au>Schwenkglenks, Matthias</au><au>Briel, Matthias</au><au>Griessbach, Alexandra</au><au>McLennan, Stuart</au><au>Schandelmaier, Stefan</au><au>Taji Heravi, Ala</au><au>Treweek, Shaun</au><aucorp>MAking Randomized Trials Affordable (MARTA) Group</aucorp><aucorp>MAking Randomized Trials Affordable (MARTA) Group</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Resource use and costs of investigator-sponsored randomized clinical trials in Switzerland, Germany, and the United Kingdom: a metaresearch study</atitle><jtitle>Journal of clinical epidemiology</jtitle><addtitle>J Clin Epidemiol</addtitle><date>2024-12</date><risdate>2024</risdate><volume>176</volume><spage>111536</spage><pages>111536-</pages><artnum>111536</artnum><issn>0895-4356</issn><issn>1878-5921</issn><eissn>1878-5921</eissn><abstract>Conducting high-quality randomized clinical trials (RCTs) is challenging and resource intensive. Funders and academic investigators depend on limited financial resources and, therefore, need empirical data for optimal budget planning. However, current literature lacks detailed empirical data on resource use and costs of investigator-sponsored RCTs. The aim of this study is to systematically collect cost data from investigator-sponsored RCTs from Switzerland, Germany, and the United Kingdom (UK).
Principal investigators were asked to share their RCT cost and resource use data and enter it into an online case report form. We assessed cost patterns, cost drivers, and specific cost items, examined costs by study phase (planning-, conduct-, and finalization phase), compared planned with actual RCT costs, and explored differences in cost patterns across countries, medical fields, and intervention types.
We included 93 RCTs which were initiated in Switzerland (n = 53; including eight conducted in low- and lower middle-income countries), Germany (n = 22), and the UK (n = 18). The median total trial cost in our RCT sample was $645,824 [interquartile range (IQR), $269,846–$1,577,924]. The median proportion of the total costs spent for planning phase was 27.5% [IQR, 20.6%–39.7%], for conduct phase 57.3% [IQR, 44.4%–66.3%], and for finalization phase 12.7% [IQR, 8.5%–19.3%] with little variation across countries. The items that contributed most to the total costs were protocol writing (7.2%; IQR 3.8%–10.6%), data management (5.0%; IQR 2.2%–8.1%) and follow-up (4.5%; IQR 2.3%–8.4%). Of the 66 RCTs with an available original budget, 46 (69.7%) exceeded the budget by over 50%. Use of routinely collected data to assess primary outcomes was independently associated with lower per patient- and lower total trial costs.
Over a quarter of total trial costs were incurred in the planning phase, which is typically not fully funded. Two-thirds of RCTs exceeded their budget by more than 50%. Investigators and funders should consider empirical cost data to improve budgeting and funding practices.
•Over a quarter (27.5%) of total trial costs were incurred in the trial planning phase.•Seventy percentage of RCTs exceeded their budget by more than 50%.•Key costs were protocol writing (7.2%), data management (5.0%), and follow-up (4.5%).•Factors associated with higher total cost included number of centers and longer duration.•Trials using routinely collected data for primary outcomes were associated with lower costs.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>39307405</pmid><doi>10.1016/j.jclinepi.2024.111536</doi><orcidid>https://orcid.org/0000-0002-2070-5230</orcidid><orcidid>https://orcid.org/0000-0002-3301-8085</orcidid><orcidid>https://orcid.org/0000-0003-1716-993X</orcidid><orcidid>https://orcid.org/0000-0002-8429-0337</orcidid><orcidid>https://orcid.org/0000-0003-3726-1856</orcidid><orcidid>https://orcid.org/0000-0003-3752-1611</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0895-4356 |
ispartof | Journal of clinical epidemiology, 2024-12, Vol.176, p.111536, Article 111536 |
issn | 0895-4356 1878-5921 1878-5921 |
language | eng |
recordid | cdi_pubmed_primary_39307405 |
source | MEDLINE; ScienceDirect Journals (5 years ago - present) |
subjects | Budget Budgets Clinical trials Costs Costs and Cost Analysis Data collection Data management Funding Germany Health Resources - economics Health Resources - statistics & numerical data Humans Medical research Oncology Randomized controlled trials Randomized Controlled Trials as Topic - economics Randomized Controlled Trials as Topic - statistics & numerical data Regression analysis Research Personnel - economics Research Personnel - statistics & numerical data Resource-use Switzerland United Kingdom Variables |
title | Resource use and costs of investigator-sponsored randomized clinical trials in Switzerland, Germany, and the United Kingdom: a metaresearch study |
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