Using a sociotechnical systems analysis to evaluate an intervention to improve opioid prescribing in emergency medicine. (November 2021)
- Record Type:
- Journal Article
- Title:
- Using a sociotechnical systems analysis to evaluate an intervention to improve opioid prescribing in emergency medicine. (November 2021)
- Main Title:
- Using a sociotechnical systems analysis to evaluate an intervention to improve opioid prescribing in emergency medicine
- Authors:
- Montague, Enid
Bungum, Mary
Sherman, Lauren
Gravenor, Stephanie
Courtney, D.Mark
Czerniak, Alyssa
Wolf, Mike
McCarthy, Danielle - Abstract:
- 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 naïve 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. Highlights: 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 naïve patients in the Emergency Department (ED). Sociotechnical systems analysis is anAbstract: 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 naïve 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. Highlights: 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 naïve patients in the Emergency Department (ED). Sociotechnical systems analysis is an effective tool to design interventions and evaluate the fidelity of such interventions. … (more)
- Is Part Of:
- Applied ergonomics. Volume 97(2021)
- Journal:
- Applied ergonomics
- Issue:
- Volume 97(2021)
- Issue Display:
- Volume 97, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 97
- Issue:
- 2021
- Issue Sort Value:
- 2021-0097-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-11
- Subjects:
- Emergency medicine -- Macroergonomics -- Health information technology -- Opioids
Human engineering -- Periodicals
620.82 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00036870 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.apergo.2021.103495 ↗
- Languages:
- English
- ISSNs:
- 0003-6870
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1572.500000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 18858.xml