OBJECTIVES: Screening subjects for drug-drug interactions (DDIs) before enrollment in oncology clinical trials is integral to ensuring safety, but standard procedures or tools are not readily available to screen DDI in this setting. Our objectives were to develop a DDI screening tool for use during oncology clinical trial enrollment and to test usability in single-center and multicenter pilot studies. METHODS: A multistage approach was used for this quality improvement intervention. Semistructured interviews with individuals responsible for DDI screening were conducted to develop a prototype tool. The tool was used for screening DDI in subjects enrolling in National Clinical Trials Network trials of commercially available agents during a single-center 3-month pilot. Improvements were made, and a 3-month multicenter pilot was conducted at volunteer SWOG Cancer Research Network sites. Participants were surveyed to determine tool usability and efficiency. RESULTS: A tool was developed from semistructured interviews. A critical feature was reporting which medications had specific pharmacokinetic and pharmacodynamic characteristics including transporter and cytochrome P450 substrates, inhibitors, or inducers and QT prolongation. In the 12-site study, average (SD) DDI screening time for each patient decreased by 15.7 (10.2) minutes (range, 3-35 minutes; P < 0.001). Users reported the tool highly usable, with >90% agreeing with all positive usability characterizations and disagreeing with all negative complexity characterizations. CONCLUSIONS: A DDI screening tool for oncology clinical trial enrollment was created and its usability confirmed. Further testing with more diverse investigator sites and study drugs during eligibility screening is warranted to improve safety and data accuracy within clinical trials.
OBJECTIVES: Screening subjects for drug-drug interactions (DDIs) before enrollment in oncology clinical trials is integral to ensuring safety, but standard procedures or tools are not readily available to screen DDI in this setting. Our objectives were to develop a DDI screening tool for use during oncology clinical trial enrollment and to test usability in single-center and multicenter pilot studies. METHODS: A multistage approach was used for this quality improvement intervention. Semistructured interviews with individuals responsible for DDI screening were conducted to develop a prototype tool. The tool was used for screening DDI in subjects enrolling in National Clinical Trials Network trials of commercially available agents during a single-center 3-month pilot. Improvements were made, and a 3-month multicenter pilot was conducted at volunteer SWOG Cancer Research Network sites. Participants were surveyed to determine tool usability and efficiency. RESULTS: A tool was developed from semistructured interviews. A critical feature was reporting which medications had specific pharmacokinetic and pharmacodynamic characteristics including transporter and cytochrome P450 substrates, inhibitors, or inducers and QT prolongation. In the 12-site study, average (SD) DDI screening time for each patient decreased by 15.7 (10.2) minutes (range, 3-35 minutes; P < 0.001). Users reported the tool highly usable, with >90% agreeing with all positive usability characterizations and disagreeing with all negative complexity characterizations. CONCLUSIONS: A DDI screening tool for oncology clinical trial enrollment was created and its usability confirmed. Further testing with more diverse investigator sites and study drugs during eligibility screening is warranted to improve safety and data accuracy within clinical trials.
Authors: Greg Ogrinc; Louise Davies; Daisy Goodman; Paul Batalden; Frank Davidoff; David Stevens Journal: Am J Crit Care Date: 2015-11 Impact factor: 2.228
Authors: Barry Goldspiel; James M Hoffman; Niesha L Griffith; Susan Goodin; Robert DeChristoforo; Capt Michael Montello; Judy L Chase; Sylvia Bartel; Jharana Tina Patel Journal: Am J Health Syst Pharm Date: 2015-04-15 Impact factor: 2.637
Authors: Kari B Wisinski; Colby A Cantu; Jens Eickhoff; Kurt Osterby; Amye J Tevaarwerk; Jennifer Heideman; Glenn Liu; George Wilding; Susan Johnston; Jill M Kolesar Journal: Am J Health Syst Pharm Date: 2015-06-01 Impact factor: 2.637
Authors: Lauren A Marcath; Jingyue Xi; Emily K Hoylman; Kelley M Kidwell; Shawna L Kraft; Daniel L Hertz Journal: J Oncol Pract Date: 2018-05-22 Impact factor: 3.840
Authors: R W F van Leeuwen; D H S Brundel; C Neef; T van Gelder; R H J Mathijssen; D M Burger; F G A Jansman Journal: Br J Cancer Date: 2013-02-14 Impact factor: 7.640
Authors: Kristen M Cunanan; Mithat Gonen; Ronglai Shen; David M Hyman; Gregory J Riely; Colin B Begg; Alexia Iasonos Journal: J Clin Oncol Date: 2016-11-28 Impact factor: 44.544
Authors: Richard H Parrish; Heather Monk Bodenstab; Dustin Carneal; Ryan M Cassity; William E Dager; Sara J Hyland; Jenna K Lovely; Alyssa Pollock; Tracy M Sparkes; Siu-Fun Wong Journal: J Clin Med Date: 2022-09-24 Impact factor: 4.964