Evidence map›Paper›PMID 35317816›Full record

ArticleBMC health services research2022

Objective risk assessment vs standard care for acute coronary syndromes-The Australian GRACE Risk tool Implementation Study (AGRIS): a process evaluation.

Janice Gullick, John Wu, Derek Chew, Chris Gale, Andrew T Yan, Shaun G Goodman, Donna Waters, Karice Hyun, David Brieger

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 25% of its field
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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Trial
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

9 authors at 6 institutions in 3 countries.

Janice GullickSusan Wakil School of Nursing & Midwifery, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia. janice.gullick@sydney.edu.au.
John WuSusan Wakil School of Nursing & Midwifery, and Site Services, University of Sydney Library, University of Sydney, Sydney, NSW, Australia.
Derek ChewCollege of Medicine and Public Health, Flinders University of South Australia, Adelaide, Australia.
Chris GaleLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, England.
Andrew T YanDepartment of Medicine, University of Toronto, St Michael's Hospital, Toronto, ON, Canada.
Shaun G GoodmanCanadian VIGOUR Centre, Department of Medicine, University of Alberta, Edmonton, Canada.
Donna WatersSusan Wakil School of Nursing & Midwifery, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.
Karice HyunSchool of Health Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.
David BriegerConcord Clinical School, Concord Repatriation General Hospital, ANZAC Research Institute, Concord West, Australia.
University of Sydney · AUConcord Repatriation General Hospital · AUCanadian VIGOUR Centre · CAFlinders University · AUSt. Michael's Hospital · CAUniversity of Leeds · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStructured risk-stratification to guide clinician assessment and engagement with evidence-based therapies may reduce care variance and improve patient outcomes for Acute Coronary Syndrome (ACS). The Australian Grace Risk score Intervention Study (AGRIS) explored the impact of the GRACE Risk Tool for stratification of ischaemic and bleeding risk in ACS. While hospitals in the active arm had a higher overall rate of invasive ACS management, there was neutral impact on important secondary prevention prescriptions/referrals, hospital performance measures, myocardial infarction and 12-month mortality leading to early trial cessation. Given the Grace Risk Tool is under investigation internationally, this process evaluation study provides important insights into the possible contribution of implementation fidelity on the AGRIS study findings.

methodsUsing maximum variation sampling, five hospitals were selected from the 12 centres enrolled in the active arm of AGRIS. From these facilities, 16 local implementation stakeholders (Cardiology advanced practice nurses, junior and senior doctors, study coordinators) consented to a semi-structured interview guided by the Theoretical Domains Framework. Directed Content Analysis of qualitative data was structured using the Capability/Opportunity/Motivation-Behaviour (COM-B) model.

resultsPhysical capability was enhanced by tool usability. While local stakeholders supported educating frontline clinicians, non-cardiology clinicians struggled with specialist terminology. Physical opportunity was enhanced by the paper-based format but was hampered when busy clinicians viewed risk-stratification as one more thing to do, or when form visibility was neglected. Social opportunity was supported by a culture of research/evidence yet challenged by clinical workflow and rotating medical officers. Automatic motivation was strengthened by positive reinforcement. Reflective motivation revealed the GRACE Risk Tool as supporting but potentially overriding clinical judgment. Divergent professional roles and identity were a major barrier to integration of risk-stratification into routine Emergency Department practice. The cumulative result revealed poor form completion behaviors and a failure to embed risk-stratification into routine patient assessment, communication, documentation, and clinical practice behaviors.

conclusionsNumerous factors negatively influenced AGRIS implementation fidelity. Given the prominence of risk assessment recommendations in United States, European and Australian guidelines, strategies that strengthen collaboration with Emergency Departments and integrate automated processes for risk-stratification may improve future translation internationally.

Indexed as

Acute Coronary SyndromeMyocardial InfarctionAustraliaHumansRisk AssessmentRisk FactorsAcute coronary syndromesBehaviour Change WheelCOM-BGRACE Risk ToolImplementationImplementation fidelityProcess evaluationQuality of careRisk stratificationTheoretical Domains Framework

Identifiers

PMID35317816
PMCPMC8941820
OpenAlexW4221030588

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.