In Situ Simulation: A Strategy to Restore Patient Safety in Intensive Care Units after the COVID-19 Pandemic? Systematic Review
Abstract
:1. Introduction
2. Materials and Methods
2.1. Search Strategy
2.2. Elegibility Criteria
2.3. Assessment of Methodological Quality
2.4. Data Collection and Synthesis
3. Results
3.1. Overview of Studies
3.2. Detection of Latent Security Threats (LST)
3.3. Staff Perception of Patient Safety Culture
3.4. Interprofessional Communication
3.5. System Organization
3.6. Assessment of Methodological Quality
4. Discussion
Implications for Practice
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Search Strategies | Pubmed | Cochrane | WoS | Cinahl | Scopus | JBI |
---|---|---|---|---|---|---|
(((((((((patient) OR (patient *)) OR (client *)) OR (adult)) OR (aged)) AND (UCI)) OR (Intensive care units)) OR (ICU)) OR (emergencies)) AND (((simulation “in situ”) OR (high fidelity simulation training)) AND (patient safety)) Filters: in the last 10 years, Humans | 142 | 30 | 2 | |||
patient in Title Abstract Keyword OR client in Title Abstract Keyword AND in situ simulation in Title Abstract Keyword AND intensive care units in Title Abstract Keyword OR emergencies in Title Abstract Keyword—with publication date in the Cochrane Library Between Jan 2011 and Jun 2021 | 287 | |||||
ALL = ((((((((((patient) OR (patient *)) OR (client *)) OR (adult)) OR (aged)) AND (UCI)) OR (Intensive care units)) OR (ICU)) OR (emergencies)) AND (((simulation “in situ”) OR (high fidelity simulation training)) AND (patient safety))) | 222 | |||||
TITLE-ABS KEY (intensive AND care AND unit AND in AND situ AND simulation) AND (LIMIT-TO (PUBYEAR, 2021) OR LIMIT-TO (PUBYEAR, 2020) OR LIMIT-TO (PUBYEAR, 2019) OR LIMIT-TO (PUBYEAR, 2018) OR LIMIT-TO (PUBYEAR, 2017) OR LIMIT-TO (PUBYEAR, 2016) OR LIMIT-TO (PUBYEAR, 2015) OR LIMIT-TO (PUBYEAR, 2014) OR LIMIT-TO (PUBYEAR, 2013)) AND (LIMIT-TO (SUBJAREA, “MEDI”) OR LIMIT-TO (SUBJAREA, “NURS”)) AND (LIMIT-TO (LANGUAGE, “English”)) AND (LIMIT-TO (SRCTYPE, “j”)) | 67 |
Author/Study Design | Participants | Interventions | Outcome Measurements | Results | CASPe Score |
---|---|---|---|---|---|
Truchot et al. [4] Mixed method: qualitative method for the assessment of feasibility and acceptability and a quantitative method for the assessment of patient safety and participant risks. | Phase 1: Non-random, voluntary participation. (Announced or unannounced). Phase 2: random | 40 min simulation sessions (20 min scenario and 20 min debriefing). | Semi-structured interviews were used to assess the acceptability of the intervention. | On-site simulation in an emergency department is feasible, safe and associated with benefits for both staff and patients. | 9/11 |
Bapteste et al. [28] Case studies | New nurses and professionals | On site-simulation session in a room available in ICU. High fidelity Dummy (SimMan, Laerdal). | Participatory observational | Session 1: medication error. Session 2: delay in treatment. | 6/11 |
Petrosoniak et al. [29] Systematic review and experimental review with case example | n = 117 manually reviewed papers | Cases with on-site simulation intervention. Group experience: 200 on-site simulation sessions in the emergency department in various countries | Bibliographic search in Pubmed, Medline, Scopus, Web of Science and ERIC. | Simulation training in the ED leads to tangible improvements in teamwork, safety and systems. | 7/10 |
Couto et al. [30] Prospective Study | n = 114 participants in the scenarios. n = 101 in training tasks. n = 49 scenarios | Three scheduled 10-min on-site simulation scenarios alternated for each theme on a daily basis. | On-site simulation sessions followed by debriefing by two facilitators. Latent safety threats were identified using a checklist. | 56 latent safety threats were detected, with an average of 1.1 per scenario. | 10/11 |
Schram et al. [31] Cross-sectional pre-post intervention study | n = 967 healthcare professionals (39 trained as simulation instructors) | Interventions were conducted in the hospital setting (in situ), 54 sessions in Hospital 1 and 62 in Hospital 2. No systematic simulation was carried out prior to the intervention. | To measure outcomes, the Safety Attitudes Questionnaire (SAQ) was used, which investigates patient safety culture before the intervention and 4–8 weeks after the intervention. | The response rate varied between 63.6% and 72.0% between surveys and hospitals. Mean scores on the scale improved significantly in five of the six safety dimensions in hospital 1, while only one dimension improved significantly in hospital 2. | 10/11 |
Paltved. et al. [32] Denmark Mixed qualitative (ethnography) and quantitative pre-post intervention study | n = 16 health teams composed by 9 doctors and 30 nurses. | Three-pronged strategy: 1. thematic analysis of patient safety data. 2. Needs analysis based on a short-term ethnography. 3. Pre-post assessment using the validated Safety Attitudes questionnaire. | A convergent parallel mixed method was used to collect both qualitative and quantitative data in parallel and the analysis was merged in the final phase. | The findings of this study suggested that an on-site simulation program can act as an important catalyst for the improvement of safety and teamwork attitudes. | 9/11 |
Chetcuti and Bhowmick [33] Pre-post intervention study | n = 12-bed ICU hospital admitting 450 patients per year (Random selection). | On-site simulation sessions using the Laerdal SimMan EssentialTM dummy. | After the evaluation and treatment of each clinical case, a didactic report was carried out using the FAST-PAGE model. The recording of the sessions was used to facilitate the information. | The evaluation of the outcome through pre- and post-simulation questionnaires was positive, participants improved their human factor skills as well as confidence in handling critical situations. | 8/11 |
Jonsson et al. [34] Switzerland Randomized controlled intervention study | n = 167 ICU nurses, distributed among 26 teams | 1 control group and 1 intervention group are faced with an acute care situation to solve. | Evaluation through questionnaires and viewing of videos of the sessions. | Team leadership and task management improved in the intervention group | 8/11 |
Eric et al. [35] Hong Kong Interdisciplinary group training programme | n = 1170 over 101 sessions | Groups made up of doctors, nurses and other health care professionals | 35-item questionnaires and a 13-item questionnaire related to the quality of training. | Simulation-based training contributed significantly to preparing hospital staff, reinforcing protocols and workflow for endotracheal intubation. | 10/11 |
Martins et al. [36] Brazil Pre-post test design for simulation training | n= 48 doctors, nurses and nursing technicians | Pre- and post-simulation study | Knowledge test | Simulation equips professionals with skills to deal with COVID-19, generating benefits for health systems, professionals and patients. | 7/11 |
Fregene et al. [37] London Pre-post test design for simulation training | n= 32 from the departments of anesthesia | A total of 8 scenarios were carried out | Corrective measures are established for errors detected during the simulation. | It showed that on-site simulations identified multiple operational deficiencies in the ICU isolation room and allowed corrective action to be taken prior to admission of the first patient with COVID-19. | 8/11 |
Question | Truchot [4] | Bapteste [28] | Petrosoniak [29] * | Couto [30] | Schram [31] | Paltved [32] | Chetcuti [33] | Jonsson [34] | Eric [35] | Martins [36] | Fregene [37] |
---|---|---|---|---|---|---|---|---|---|---|---|
Q1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
Q2 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 |
Q3 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 1 |
Q4 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 |
Q5 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
Q6 | Concluding | Concluding | Concluding | Concluding | Concluding | Concluding | Concluding | Concluding | Concluding | Concluding | Concluding |
Q7 | P.A. ** | P.A. ** | P.A. ** | G.A. *** | G.A. *** | P.A. ** | P.A. ** | P.A. ** | G.A. *** | P.A. ** | P.A. ** |
Q8 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 |
Q9 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
Q10 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
Q11 | 1 | 1 | X | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 |
CASPe score | 9/11 | 6/11 | 7/10 | 10/11 | 10/11 | 9/11 | 8/11 | 8/11 | 10/11 | 7/11 | 8/11 |
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Gómez-Pérez, V.; Escrivá Peiró, D.; Sancho-Cantus, D.; Casaña Mohedo, J. In Situ Simulation: A Strategy to Restore Patient Safety in Intensive Care Units after the COVID-19 Pandemic? Systematic Review. Healthcare 2023, 11, 263. https://doi.org/10.3390/healthcare11020263
Gómez-Pérez V, Escrivá Peiró D, Sancho-Cantus D, Casaña Mohedo J. In Situ Simulation: A Strategy to Restore Patient Safety in Intensive Care Units after the COVID-19 Pandemic? Systematic Review. Healthcare. 2023; 11(2):263. https://doi.org/10.3390/healthcare11020263
Chicago/Turabian StyleGómez-Pérez, Vanesa, Dolores Escrivá Peiró, David Sancho-Cantus, and Jorge Casaña Mohedo. 2023. "In Situ Simulation: A Strategy to Restore Patient Safety in Intensive Care Units after the COVID-19 Pandemic? Systematic Review" Healthcare 11, no. 2: 263. https://doi.org/10.3390/healthcare11020263
APA StyleGómez-Pérez, V., Escrivá Peiró, D., Sancho-Cantus, D., & Casaña Mohedo, J. (2023). In Situ Simulation: A Strategy to Restore Patient Safety in Intensive Care Units after the COVID-19 Pandemic? Systematic Review. Healthcare, 11(2), 263. https://doi.org/10.3390/healthcare11020263