Evidence map›Paper›PMID 35378722›Full record

ArticleCJEM2022

Realist inquiry: a new way to think about overcrowding interventions.

Tess Loch, Jason Elzinga, Zoe Polsky, Eddy Lang, Catherine Patocka

Abstract read
PubMed Publisher
In one paragraph

Article in CJEM, 2022. 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

5 · Who and what money

Authors and funding

5 authors.

Tess LochCumming School of Medicine, University of Calgary, C-231 1403-29St NW, Calgary, AB, T2N 2T9, Canada. theresa.loch@ucalgary.ca.
Jason ElzingaCumming School of Medicine, University of Calgary, C-231 1403-29St NW, Calgary, AB, T2N 2T9, Canada.
Zoe PolskyCumming School of Medicine, University of Calgary, C-231 1403-29St NW, Calgary, AB, T2N 2T9, Canada.
Eddy LangCumming School of Medicine, University of Calgary, C-231 1403-29St NW, Calgary, AB, T2N 2T9, Canada.
Catherine PatockaCumming School of Medicine, University of Calgary, C-231 1403-29St NW, Calgary, AB, T2N 2T9, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesPhysician-focused throughput initiatives are intended to mitigate the effects of emergency department (ED) overcrowding. Our tertiary care academic hospital recently piloted an emergency physician leader role intended to improve throughput. Although a separate experimental evaluation of this initiative was undertaken, it was expected that such an evaluation could not alone provide the necessary information to inform 'how' the emergency physician leader intervention worked. The objective of this study was to conduct a realist evaluation of the emergency physician leader. Realist inquiry utilizes Context Mechanism Outcome configurations to determine the impacts of interventions that are often missed by quantitative analysis. Using a realist perspective, this study aimed to evaluate the emergency physician leader initiative's effects on throughput with the goal of building transferable lessons to the implementation of future interventions.

methodsSemi-structured interviews with key stakeholders in the intervention were conducted and analyzed using thematic and template techniques specifically aimed at identifying Context Mechanism Outcomes.

results13 interviews were conducted with physicians and nurses who identified contexts and mechanisms which promoted or impeded ED throughput. For example, in situations where there was a clear indication for imaging or management that could not be initiated within the scope of a nursing protocol, the emergency physician leader initiating these orders was felt to promote ED throughput. Conversely, in contexts where there was no nurse available to fulfill early orders, the emergency physician leader's initiation of orders was perceived to impede throughput.

conclusionThis evaluation provides insights into the reasoning and behaviour of individuals involved in the emergency physician leader initiative and provides a systematic approach to unraveling its complex causal pathway. Knowledge of context-mechanism-outcome relationships may help implementers design and measure the impact of future physician-focused throughput interventions.

Indexed as

PhysiciansHumansMotivationED overcrowdingRealist evaluationThroughput

Identifiers

What OpenQuestion holds

Textmetadata
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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.