Skip to main content

Table 2 ISS to assess performance and identify risks

From: GENESISS 2—Generating Standards for In-Situ Simulation project: a systematic mapping review

Author, date (Country)

Research topic

Setting and participants

Outcome methods and measures

Study type (JBI level of evidence)

Auerbach 2018 [45] (US)

Adherence to paediatric cardiac arrest guidelines

ED (50 ED departments), MDT teams

1. Cardiac arrest adherence score (AHA guidelines)

2. Timing and task completion

3. Simulated Team Assessment Tool (STAT)

Prospective observational

Quality assessment – good (3e)

Calhoun 2014 [46] (US)

Task performance in ICU examining work length on task completion

Paediatric ICU, nurses (n = 28)

1. Task completion via direct observation

Prospective observational Quality assessment: low – moderate (3e)

Campbell 2016 [47] (Canada)

Blood administration processes and hazards

Operating room, HCPs (n = 43)

1, Adherence to a process checklist

2. Identification of latent hazards

3. Performance and teamwork ANTS tool and CTS

Prospective observational Quality assessment—good (3e)

Clapper 2018 [48] (US)

Assess the impact of the saturation-in-training model of TeamSTEPPS implementation

Paediatric in-patient unit (n = 547, ISS with smaller sub-sample)

1. Participant TeamSTEPPS knowledge scores

2. TeamSTEPPS performance scores

Prospective observational

Quality assessment – good (3e)

Hargestam 2015 [49] (Sweden)

Time taken to make a decision to go to surgery

ED, trauma teams (n = 96 participants)

1. Clinical management timings

2. Communication

3. Leadership style

Prospective observational Quality assessment: moderate (3e)

Kessler 2016 [50] (US)

Adherence to paediatric sepsis guidelines

Paediatric ED, MDT teams (n = 47 teams)

1. Compliance with International sepsis guidelines

2. Experience and attitudes to sepsis care

Prospective observational Quality assessment: good (3e)

Kobayashi 2010 [51] (US)

Comparing defibrillators in the ED

Hospital, nurses (n = 50)

1. Resuscitation performance

Quasi-experimental Quality assessment: moderate (2d)

Kozer 2004 [52] (Canada)

Characterise the incidence of medication errors

Paediatric ED, 20 physicians, 15 nurses

1. Drug type and drug concentration administered

Prospective observational (3e)

Lipman 2013 [53] (US)

Assess performance of response times for emergency caesarean delivery

Maternity unit, MDT (n = 14 teams)

1. Timings to perform emergency caesarean

2. Barriers to optimal team performance

Prospective observational Quality assessment: moderate (3e)

Lipman 2013b [54] (US)

Assess performance of CPR during obstetric crisis in different settings

Maternity unit, MDT (n = 14 teams)

1. Correctly delivered chest compressions

2. CPR skills

Prospective observational Quality assessment: moderate (3e)

Lok 2014 [55] (UK)

Identifying latent risks in paediatrics and neonatology

Paediatrics and neonatology MDT (n = 10 hospitals, n = 246)

1. Latent risks (NPSA recommendations)

Prospective observational Quality assessment: moderate (3e)

March 2013 [56] (UK)

Establish the role of simulation training to test the efficacy and safety of the electronic health record

ICU Medical staff (n = 38)

1. identification of action items and clinical trends (patient condition / medical error)

Prospective observational (3e)

Mondrup 2011 [57] (Denmark)

CPR performance

Hospital staff (first responders)

1. CPR performance using the Laerdal PC Skill Reporting System based on established ALS guidelines

Prospective observational Quality assessment: moderate (3e)

Author, date (Country)

Research topic

Setting and participants

Outcome methods and measures

Study type (JBI level of evidence)

Sarfati 2015 [58] (France)

Prevent medication errors

Hospital Pharmacy technicians (n = 12)

1. Detection of medication errors pre and post awareness training

Prospective observational

Quality assessment: moderate – good (3e)

Shah 2020 [59]

(US)

Identify LSTs assess care safety

Paediatric and neonatal ICU and ED (n = 65, 21 simulations)

1.Assess the clinical environment and identify LSTs

2.Analyse effects of educational and systems interventions

3.Determine which team factors and interventions were associated with better simulation performance

Prospective observational

Quality assessment: moderate – good (3e)

Schmutz 2015 [60] (Germany)

Task distribution and communication in emergency teams

Hospital emergency teams paediatric wards (n = 277)

1. Team behaviour

2. Clinical performance using published clinical checklists

Prospective observational Quality assessment: moderate (3e)

Wheeler 2013 [61] (US)

Improve quality of care delivered to children with impending respiratory

or cardiopulmonary arrest

PICU, CICU, OR, patient care units

1. Identification of latent safety threats

2. Participant evaluation

Prospective observational

Quality assessment: moderate (3e)

Zimmermann 2015 [62] (Switzerland)

Evaluate resuscitation training

Children’s hospital, MDT (n = 95)

1. Team performance

2. LST identification

Prospective observational Quality assessment: good (3e)

  1. ED Emergency Department, ICU Intensive Care Unit, MDT Multi Disciplinary Team, PICU Paediatric Intensive Care Unit, OR Operating Room, CICU Cardiac Intensive Care Unit