Evidence map›Paper›PMID 34298388›Full record

ArticleApplied ergonomics2021

Using a sociotechnical systems analysis to evaluate an intervention to improve opioid prescribing in emergency medicine.

Enid Montague, Mary Bungum, Lauren Sherman, Stephanie Gravenor, D Mark Courtney, Alyssa Czerniak, Mike Wolf, Danielle McCarthy

Abstract read
In one paragraph

Article in Applied ergonomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Enid MontagueDePaul University, Chicago, IL, USA. Electronic address: emontague@depaul.edu.
Mary BungumDePaul University, Chicago, IL, USA.
Lauren ShermanDepartment of Emergency Medicine, Northwestern University, Chicago, IL, USA.
Stephanie GravenorDepartment of Emergency Medicine, Northwestern University, Chicago, IL, USA.
D Mark CourtneyDepartment of Emergency Medicine, Northwestern University, Chicago, IL, USA.
Alyssa CzerniakDepartment of Emergency Medicine, Northwestern University, Chicago, IL, USA.
Mike WolfDivision of General Internal Medicine and Geriatrics, Northwestern University, Chicago, IL, USA.
Danielle McCarthyDepartment of Emergency Medicine, Northwestern University, Chicago, IL, USA.

Funding

Northwestern University Clinical and Translational Science Institute (NUCATS)UL1TR001422 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI D'AQUILA, RICHARD · 2015 to 2023
$56.8M
AHRQ HHS R18 HS023459NCATS NIH HHS UL1 TR001422
6 · The paper itself

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.

Indexed as

Analgesics, OpioidEmergency MedicineEmergency Service, HospitalHumansPractice Patterns, Physicians'Systems AnalysisUnited StatesAnalgesics, OpioidEmergency medicineHealth information technologyMacroergonomicsOpioids

Identifiers

PMID34298388
PMCPMC13352327

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.