Mustafa I Hussain1, Ariana M Nelson2, Brent G Yeung2, Lauren Sukumar3, Kai Zheng1. 1. Department of Informatics, University of California, Irvine, Irvine, California, USA. 2. Department of Anesthesiology and Perioperative Care, School of Medicine, University of California, Irvine, Irvine, California, USA. 3. Departments of Computer Science and Information Systems and Decision Sciences, California State University, Fullerton, Fullerton, California, USA.
Abstract
OBJECTIVE: The United States faces an opioid crisis. Integrating prescription drug monitoring programs into electronic health records offers promise to improve opioid prescribing practices. This study aimed to evaluate 2 different user interface designs for prescription drug monitoring program and electronic health record integration. MATERIALS AND METHODS:Twenty-four resident physicians participated in a randomized controlled experiment using 4 simulated patient cases. In the conventional condition, prescription opioid histories were presented in tabular format, and computerized clinical decision support (CDS) was provided via interruptive modal dialogs (ie, pop-ups). The alternative condition featured a graphical opioid history, a cue to visit that history, and noninterruptive CDS. Two attending pain specialists judged prescription appropriateness. RESULTS: Participants in the alternative condition wrote more appropriate prescriptions. When asked after the experiment, most participants stated that they preferred the alternative design to the conventional design. CONCLUSIONS: How patient information and CDS are presented appears to have a significant influence on opioid prescribing behavior. Published by Oxford University Press on behalf of the American Medical Informatics Association 2019. This work is written by US Government employees and is in the public domain in the US.
RCT Entities:
OBJECTIVE: The United States faces an opioid crisis. Integrating prescription drug monitoring programs into electronic health records offers promise to improve opioid prescribing practices. This study aimed to evaluate 2 different user interface designs for prescription drug monitoring program and electronic health record integration. MATERIALS AND METHODS: Twenty-four resident physicians participated in a randomized controlled experiment using 4 simulated patient cases. In the conventional condition, prescription opioid histories were presented in tabular format, and computerized clinical decision support (CDS) was provided via interruptive modal dialogs (ie, pop-ups). The alternative condition featured a graphical opioid history, a cue to visit that history, and noninterruptive CDS. Two attending pain specialists judged prescription appropriateness. RESULTS:Participants in the alternative condition wrote more appropriate prescriptions. When asked after the experiment, most participants stated that they preferred the alternative design to the conventional design. CONCLUSIONS: How patient information and CDS are presented appears to have a significant influence on opioid prescribing behavior. Published by Oxford University Press on behalf of the American Medical Informatics Association 2019. This work is written by US Government employees and is in the public domain in the US.
Entities:
Keywords:
clinical; decision support systems; medical order entry systems; pain management; prescription drug monitoring programs; user-computer interface
Authors: Erin P Finley; Suyen Schneegans; Claudina Tami; Mary Jo Pugh; Don McGeary; Lauren Penney; Jennifer Sharpe Potter Journal: J Am Med Inform Assoc Date: 2018-05-01 Impact factor: 4.497
Authors: Gillian J Leichtling; Jessica M Irvine; Christi Hildebran; Deborah J Cohen; Sara E Hallvik; Richard A Deyo Journal: Pain Med Date: 2017-06-01 Impact factor: 3.750