@article{6615fbb14ed04b8ea7e49cc12aff9e25,
title = "Using a sociotechnical systems analysis to evaluate an intervention to improve opioid prescribing in emergency medicine",
abstract = "The United States is facing an unprecedented epidemic of opioid addiction and death due to opioid overdose. In an effort to improve patient knowledge and safe use about opioids, an Electronic Medication Complete Communication (EMC2) opioid strategy was developed targeting opioid na{\"i}ve patients in the Emergency Department (ED). We conducted pre and post sociotechnical systems analyses to evaluate the variance between the process before the intervention and whether or not the process changed as expected with the new intervention. Results were analyzed using thematic qualitative analysis. Sociotechnical systems modeling illustrates the complexity of designing interventions for emergency medicine that affect multiple patients, providers, work systems, technologies, and processes. The post work systems model illustrates that several elements in the external ED environment can affect the effectiveness of the intervention. Sociotechnical systems analysis is an effective tool to illustrate the opportunities for designing health system interventions and evaluating the fidelity of such interventions.",
keywords = "Emergency medicine, Health information technology, Macroergonomics, Opioids",
author = "Enid Montague and Mary Bungum and Lauren Sherman and Stephanie Gravenor and Courtney, {D. Mark} and Alyssa Czerniak and Mike Wolf and Danielle McCarthy",
note = "Funding Information: We would like to acknowledge the additional study co-investigators for the larger project which this analysis describes: Cameron KA, Curtis LM, Kim HS, Kim KY, Lank PM, Lyden A and Walton S. We would additionally like to acknowledge all of the research assistants, project coordinators, and analysts who assisted with data collection and analysis for the larger project. This project was supported by grant number R18HS023459 from the Agency for Healthcare Research and Quality (PI McCarthy). The content is solely the responsibility of the authors and does not necessarily represent the official views of the Agency for Healthcare Research and Quality. REDCap is supported at FSM by the Northwestern University Clinical and Translational Science (NUCATS) Institute, Research reported in this publication was supported, in part, by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number UL1TR001422. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Funding Information: This project was supported by grant number R18HS023459 from the Agency for Healthcare Research and Quality (PI McCarthy). The content is solely the responsibility of the authors and does not necessarily represent the official views of the Agency for Healthcare Research and Quality. Funding Information: REDCap is supported at FSM by the Northwestern University Clinical and Translational Science (NUCATS) Institute , Research reported in this publication was supported, in part, by the National Institutes of Health's National Center for Advancing Translational Sciences , Grant Number UL1TR001422 . The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Publisher Copyright: {\textcopyright} 2021 Elsevier Ltd",
year = "2021",
month = nov,
doi = "10.1016/j.apergo.2021.103495",
language = "English (US)",
volume = "97",
journal = "Applied Ergonomics",
issn = "0003-6870",
publisher = "Elsevier Limited",
}