BACKGROUND: The pharmaceutical industry spends approximately 26.4 billion dollars annually for research and development (4.1 billion dollars in cardiovascular products). We compared pharmaceutical companies' planned resource use and costs in Phase III cardiovascular trials and identified cost-saving strategies. METHODS AND RESULTS: We developed 2 case scenarios (a 17,000-patient, open-label acute coronary syndromes [ACS] trial and a 14,500-patient, double-blind congestive heart failure [CHF]) trial and surveyed 6 pharmaceutical experts about expected resources (e.g., number of sites, case report form [CRF] pages, and monitoring visits) needed for the trials. Using a validated model, we estimated costs under each expert's assumptions. ACS trial costs averaged 83 million dollars (median, 67 million dollars; range, 57 dollars to 158 million dollars) and 142 million dollars (median, 135 million dollars; range, 102 dollars to 207 million dollars) for the CHF trial. Site-related expenses (site management and payments) were >65% of total costs for both trials. In sensitivity analyses, total costs were reduced >40% by simultaneously reducing CRF pages, monitoring visits, and site-payment amounts but maintaining the numbers of patients and sites. CONCLUSIONS: With a set number of sites and patients, the most efficient way to reduce trial costs and still meet the trial's scientific objectives is to reduce management complexity. Modest changes in management parameters release significant monies to answer more research questions.
BACKGROUND: The pharmaceutical industry spends approximately 26.4 billion dollars annually for research and development (4.1 billion dollars in cardiovascular products). We compared pharmaceutical companies' planned resource use and costs in Phase III cardiovascular trials and identified cost-saving strategies. METHODS AND RESULTS: We developed 2 case scenarios (a 17,000-patient, open-label acute coronary syndromes [ACS] trial and a 14,500-patient, double-blind congestive heart failure [CHF]) trial and surveyed 6 pharmaceutical experts about expected resources (e.g., number of sites, case report form [CRF] pages, and monitoring visits) needed for the trials. Using a validated model, we estimated costs under each expert's assumptions. ACS trial costs averaged 83 million dollars (median, 67 million dollars; range, 57 dollars to 158 million dollars) and 142 million dollars (median, 135 million dollars; range, 102 dollars to 207 million dollars) for the CHF trial. Site-related expenses (site management and payments) were >65% of total costs for both trials. In sensitivity analyses, total costs were reduced >40% by simultaneously reducing CRF pages, monitoring visits, and site-payment amounts but maintaining the numbers of patients and sites. CONCLUSIONS: With a set number of sites and patients, the most efficient way to reduce trial costs and still meet the trial's scientific objectives is to reduce management complexity. Modest changes in management parameters release significant monies to answer more research questions.
Authors: John March; Helena C Kraemer; Madhukar Trivedi; John Csernansky; John Davis; Terence A Ketter; Ira D Glick Journal: Neuropsychopharmacology Date: 2010-08-25 Impact factor: 7.853
Authors: Jules T Mitchel; Yong Joong Kim; Joonhyuk Choi; Glen Park; Silvana Cappi; David Horn; Morgan Kist; Ralph B D Agostino Journal: Drug Inf J Date: 2011-07
Authors: Brett R Anderson; Evelyn G Gotlieb; Kevin Hill; Kimberly E McHugh; Mark A Scheurer; Carlos M Mery; Glenn J Pelletier; Jonathan R Kaltman; Owen J White; Felicia L Trachtenberg; Danielle Hollenbeck-Pringle; Brian W McCrindle; Donna M Sylvester; Aaron W Eckhauser; Sara K Pasquali; Jeffery B Anderson; Marcus S Schamberger; Subhadra Shashidharan; Jeffrey P Jacobs; Marshall L Jacobs; Marko Boskovski; Jane W Newburger; Meena Nathan Journal: Cardiol Young Date: 2020-05-08 Impact factor: 1.093
Authors: Hans-Georg Eichler; Brigitte Bloechl-Daum; Eric Abadie; David Barnett; Franz König; Steven Pearson Journal: Nat Rev Drug Discov Date: 2010-02-26 Impact factor: 84.694
Authors: Katherine Huppler Hullsiek; Jonathan M Kagan; Nicole Engen; Jesper Grarup; Fleur Hudson; Eileen T Denning; Catherine Carey; David Courtney-Rodgers; Elizabeth B Finley; Per O Jansson; Mary T Pearson; Dwight E Peavy; Waldo H Belloso Journal: Ther Innov Regul Sci Date: 2015-03-01 Impact factor: 1.778