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Journal of Primary Health Care Journal of Primary Health Care Society
Journal of The Royal New Zealand College of General Practitioners
RESEARCH ARTICLE (Open Access)

Impact of emergency simulation training in primary care: a rapid review

Shomel Gauznabi https://orcid.org/0000-0002-0155-1037 1 *
+ Author Affiliations
- Author Affiliations

1 Faculty of Medicine and Health Sciences, University of Auckland, Auckland, New Zealand.

* Correspondence to: shomel.gauznabi@auckland.ac.nz

Handling Editor: Tim Stokes

Journal of Primary Health Care https://doi.org/10.1071/HC24005
Submitted: 11 February 2024  Accepted: 13 May 2024  Published: 3 June 2024

© 2024 The Author(s) (or their employer(s)). Published by CSIRO Publishing on behalf of The Royal New Zealand College of General Practitioners. This is an open access article distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND)

Abstract

Introduction

Primary care is increasingly exposed to acutely unwell patients and there is an increasing responsibility of primary care physicians to be well-equipped to manage medical emergencies. One means of training primary care staff is through simulation training; however, emergency simulation training in primary care is not well established.

Aim

The objective of this study was to conduct a rapid literature review of studies looking at the use and impacts of emergency care simulation training in primary care.

Methods

A systematic literature search with pre-defined key terms was carried out in November 2023 using the databases of PubMed, ERIC, EmBase and PsychInfo. Studies between 2013 and 2023 that met the inclusion criteria were reviewed. Only journal articles in English with full texts that were available were reviewed. Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses framework, data extraction was systematically structured, and studies were appraised systematically.

Results

Of 523 initial studies found from the literature review, eight studies met the eligibility criteria. Seven of the eight studies evaluated the efficacy of simulation training for primary care providers; these were prospective cohort studies. One of the eight studies was a proof-of-concept study. One study specifically compared high-fidelity to low-fidelity simulations. No previous literature reviews on the use of emergency simulations in primary care were found in this literature search. All studies were consistent in terms of the significant benefits emergency care simulation has for primary care staff in improving confidence, clinical practice and emergency management systems. These changes applied to both clinical and non-clinical staff. There were specific benefits from in-clinic simulation.

Discussion

This review emphasises the significant benefits of emergency simulation training in primary care. There should be greater consideration of specifically incorporating such educational tools in primary care specialties such as general practice, rural general practice and urgent care.

Keywords: emergency, Health care education, primary health care, simulation training.

WHAT GAP THIS FILLS
What is already known: There is a current paucity of research in emergency simulation training in primary care. Although there is literature on the use of emergency simulation education has in secondary care services such as emergency medicine (EM) or for intensive care unit (ICU) staff, it is not well established or validated in primary care.
What this study adds: To the best of the author's knowledge, this is the first literature review of studies that evaluate the use of emergency care simulations for primary care clinicians. The findings from this review can help inform and guide the appropriate education and training of primary care clinicians.

Introduction

International healthcare trends suggest that the site of care for acutely ill and medically complex patients is increasingly shifting toward ambulatory offices,1 such as general practice clinics and urgent care (UC) facilities. Six percent of all out-of-hospital cardiac arrests can occur in primary care.2 Although emergencies occur relatively infrequently in primary care,3 general practitioners (GPs) have a responsibility to provide prompt and effective care when attending to life-threatening emergencies in their surgeries.4 The primary care provider plays an important role in the paediatric5 and adult emergency care services; however, due to the relative infrequency of emergencies in primary care, it can be quite daunting for those involved when emergencies occur.3 Primary care providers, particularly those who have worked outside of a hospital setting for a prolonged period, may feel ill-prepared to manage emergently ill patients.6

Simulation is one tool that can be used for education and systems testing for rare, but risky events7 such as emergency medical scenarios.8,9 Simulation training could be particularly useful in primary care, given the minimal opportunities for health professionals to engage in multiprofessional emergency scenarios.10 Simulations can help develop psychomotor and critical decision-making skills, as well as training for the management of complex medical situations.11 Classroom-based simulation is a well known teaching method and is often used for emergency life support courses;12 however, in-clinic simulations can be particularly useful as clinicians should be encouraged to use their own equipment and medications during such simulations and develop confidence in managing emergencies within their surgeries.12 High-fidelity simulation-based training programmes for managing emergencies, including cardiopulmonary resuscitation scenarios, have been successfully used in hospital settings and have been shown to improve knowledge and clinical skills.13,14 Emergency simulations are well established as an efficacious education training tool for emergency medicine (EM) and intensive care unit (ICU) medical staff;15,16 however, such emergency training simulation is less well evidenced in the education and training of primary care clinicians.17

In Aotearoa New Zealand (NZ), primary care clinicians work as general practitioners (GPs) with training through the Royal New Zealand College of General Practitioners (RNZCGP), as rural GPs with training through the Rural Hospital Medicine Training Programme (RHMTP), or as urgent care (UC) clinicians with training through the Royal New Zealand College of Urgent Care (RNZCUC). As part of these training programmes, registrars can be expected to complete courses such as Advanced Cadiac Life Support (ACLS), or Emergency Management of Severe Trauma (EMST) or Advanced Paediatric Life Support (APLS).18,19 Although these courses can incorporate emergency simulations, none of the aforementioned training programmes mandate specific regular in-clinic simulation requirements for their trainees or fellows or respective clinics.18,20 A reason why this is not regularly incorporated in the training of primary care specialties could be due to the lack of literature supporting the use of simulation for the wider primary care team including for non-clinical colleagues.3 There are relatively little data regarding the long-term value of simulation-based training in primary care.17

This research aimed to conduct a rapid literature review of studies looking at the use and impacts of emergency care simulation training in primary care,and to use this information to inform the use of such educational tools in the training of primary care clinicians.

Methods

Rapid review methodology

The rapid review approach is a modified form of the systematic review method. By limiting literature searches or simplifying the process of systematic reviews, rapid reviews ensure the timely generation of information while upholding ‘systematic, transparent, and reproducible’ standards.21,22 Due to its practicality, rapid reviews are increasingly being used to inform policy and guidelines.23 There are no one-size-fits-all, or one universally accepted definition for rapid reviews.22,23 Rapid reviews usually involve peer review throughout the literature review, but it can be completed by a sole researcher that follows a systematic approach with a pre-determined search protocol, pre-defined inclusion criteria and undertakes systematic data extraction.2123 Typically, they use the Preferred Reporting Items for Systematic Review and Meta-Analysis protocols (PRISMA) and data are typically presented descriptively.23 The following research follows the research methodology of rapid reviews, as supported in the literature.2123 This was an appropriate methodology for this research rather than a systematic literature review as the research was conducted by one researcher, and was completed to help inform local clinical policies.

Search strategy

A systematic literature search was conducted in November 2023. The following Medical Subject Headings (MeSH) and Boolean operators were used for the search criteria: ‘Emergency scenario simulation OR emergency patient case simulation OR resuscitation simulation’ AND ‘Primary care OR urgent care OR general practice OR family medicine’. The searches were conducted using the databases of PubMed, ERIC, EmBase and PsycINFO. Only studies within the last 10 years were included to ensure the research was up-to-date and relevant to the current practicing environment. Using a shorter period risked having a limited number of appropriate studies. Snowballing was used to identify eligible articles from the references of the articles that met the inclusion criteria.23

Study selection

Only journal articles were accepted in the review as opposed to the inclusion of grey literature. The studies included were observational, prospective cohort studies and qualitative proof-of-concept studies. The inclusion criteria were that the study specifically researched the impacts of emergency simulation training for primary care doctors. Primary care doctors were defined as trainees or vocationally registered GPs, rural GPs, and UC doctors. Studies could include other staff such as nurse practitioners (NP) or non-clinical staff based in community medical centres, but it needed to include primary care doctors as well. Studies also needed to evaluate the efficacy of simulation training for education specifically, rather than it only being used as an assessment tool. Studies were also excluded if they only involved medical students.

Only journal articles in English and that had available full texts were included. Endnote was used for data and reference management.

Data extraction

After duplicate articles were removed, the title and abstracts were screened to ensure they met the eligibility criteria of this review. The full texts of studies were then further analysed to review eligibility. A consistent approach was used to record data extraction, aims, design methods, setting, participant demographics, outcomes, quality review and suitability for inclusion.

Quality appraisal

A quality assessment was completed for each publication meeting the rapid review inclusion criteria. Joanna Briggs Institute’s critical appraisal tools were used to evaluate the quality of publications.24

Ethics

Ethics approval was not necessary for this study as this was a rapid review of internationally published research.

Results

A PRISMA flowchart was used to record the data extraction process (see Fig. 1). From the initial search, 523 studies were identified; 10 duplicate articles were removed. Of the 513 remaining articles, the title and abstracts were screened to ensure they met the eligibility criteria of this review. The full texts of 26 potential studies were then further analysed to review eligibility. Initially, six studies met the final eligibility screening. The reference lists of all studies that underwent full-text analysis were then reviewed to identify further potential eligible studies. This identified two additional eligible studies, leading to a final number of eight studies being included in this literature review.

Fig. 1.

The PRISMA diagram outlining the data extraction process.


HC24005_F1.gif

Seven of the studies evaluated the efficacy of simulation training for primary care providers. These were all prospective cohort studies. One of the eight studies was a proof-of-concept study to review the acceptability and barriers of emergency simulation training for primary care providers.

All studies were either based in the United Kingdom (UK), The United States (US) or Canada. Six of the studies involved participants that were from a range of clinical and non-clinical backgrounds, including administrative staff, nurse practitioners (NPs), practice nurses, healthcare assistants (HCAs) and primary care doctors. Two of the studies specifically reviewed the performances of junior medical doctors who had only recently started various training programmes, including family medicine residencies. Five of the studies mainly used surveys to record a combination of self-reported confidence using a Likert scale and collected qualitative information using free-text questions.3,4,6,12,25 One study was a qualitative study that used semi-structured interviews and thematic data analysis.26 Two studies incorporated independent assessments of performance during emergency simulations.25,27 Ranger et al. specifically compared high-fidelity to low-fidelity simulation in emergency simulation training.27 No previous literature reviews on this topic were found, and this probably reflects that this area has not been extensively researched in the past.

All studies demonstrated a positive effect on self-perceived confidence, competence and preparedness for the management of emergency cases in medical staff.3,4,6,7,12,2527 GPs’ confidence in managing time-critical emergencies were often initially low, and significantly improved immediately after attending ‘real-world’, simulation-based training.14 These changes were applicable to all medical staff including non-clinical staff.3,4,6,12 For example, one study reported confidence in managing emergencies improved significantly in all staff from a pre-course mean of 6.33 to a post-course mean of 8.52 (P < 0.0001). Further benefits were that there were significant improvements in understanding roles within the team (mean 7.37 vs 9.07, P < 0.001) and in awareness of protocols to be followed in an emergency (mean 7.07 vs 8.54, P < 0.01). There were also demonstrated benefits in developing emergency skills competence when measured by independent assessors,25,27 and these changes have been shown to be sustained to at least 8 weeks post simulation training.4 Furthermore, there is a specific benefit that high-fidelity simulations can have when compared to low-fidelity simulations in emergency simulation training. For example, in one intervention cohort, 36% of participants who underwent high-fidelity simulations for transcutaneous pacing successfully completed all six tasks needed for transcutaneous pacing in comparison to 0% of the control group who underwent low-fidelity simulations (P < 0.001). And the intervention group completed most necessary emergency tasks under simulation pressure faster than the low-fidelity simulation group.27

‘Real-life’, in-house, simulation-based training plays a key role in developing ‘practical preparedness’ in the context of resuscitation training.4,28 Infrequent emergency events, the variety in management systems, lack of familiarity of code cart contents, varied layouts of primary care practices and a lack of standardisation of maintaining emergency carts can contribute to primary care staff feeling ill-prepared to handle emergencies.6 Staff valued the interactivity, teamwork and realism of in-house simulation-based training.3 This also helped learners recognise the crucial role that non-clinical staff play in the management of emergencies in primary care.3 Clinical staff particularly valued the opportunity to calculate drug doses and draw up medication under simulated pressure.3 In-house clinical simulation-based training can lead to clinics changing practices by standardising the availability of emergency medical equipment, protocols and the location of such resources within the clinic.3,4 For example, in one study, all involved GP centres made changes to equipment and staff training after simulation training.26

Barriers to staff participating in emergency care training in primary care can include an unwillingness to participate due to apprehension and anxiety prior to simulations, and having a fear of feeling assessed during simulations.26

Table 1 presents a summary of the included studies.

Table 1.Literature review findings summary table – the impact of emergency simulation training in primary care.

Article: Primary care emergencies: improved confidence in clinical and non-clinical members of the multidisciplinary team using a simulation programme (2019)
Author: Lamb et al.3
Setting: Northrumbia, United Kingdom.Findings: Thirty-one staff – receptionists (n = 5), practice nurses (n = 9), managerial staff (n = 5), GPs (n = 7) and nurse practitioners (n = 5).
Participants: General Practitioners (GPs), Nurse Practitioners (NPs), practice managers and receptionists from several practices attended.Reported confidence in managing emergencies improved significantly in all staff from a pre-course mean of 6.33 to a post-course mean of 8.52 (P < 0.0001). Significant improvements in understanding role within the team (mean 7.37 vs 9.07, P < 0.001) and in awareness of protocols to be followed in an emergency (mean 7.07 vs 8.54, P < 0.01). A mean score of 9.8 was given in response to helpfulness of session.
Method: Observational prospective cohort study. Subjects participated in a simulation programme designed for clinical and non-clinical staff in the UK. Simulation environment replicated a general practice. Mixture of mannikin and actor was used for three different scenarios. Mixture of quantitative data – questionnaire prior to and following the simulation programme in the form of a Likert scale about confidence, and qualitative data – in the form of free-text responses were collected.Qualitative data gathered emphasised the value of interactivity, teamworking and realism in support of the learning process. Learners recognised the crucial role that non-clinical staff play in the management of emergencies in the general practice setting. They identified issues with variation in equipment type and location between practices. Clinical staff particularly valued the opportunity to calculate drug doses and draw up medication under simulated pressure.
Strengths: Simulations replicated the primary care environment. Staff from multiple centres were involved. Multiple emergency clinical scenarios were simulated.Weaknesses: Cross-sectional measure only. Small sample size.
Article: Managing emergencies in primary care: does real-world simulation-based training have any lasting impact? (2019)
Author: Forde et al.4
Setting: 14 general practice surgeries in the region of Dorset, in the UK.Findings: 118 primary care staff – 95 doctors, 23 from the wider team (practice nurses, advanced NPs, community matrons, and healthcare assistants (HCAs)). Only 41% responded to post-workshop questionnaires. Participants’ self-rated confidence was significantly higher immediately after (7.5/9), compared with pre-workshop (mean = 5.0/9), P < 0.05. Importantly, their confidence was sustained >8 weeks after the workshop (mean = 7.0/9) – comparable to scores immediately post-workshop. 98% had made changes to clinical practice, 48% had reviewed their emergency equipment, 33% reviewed their emergency drugs and 12.5% commented on the value of realistic, in-house, simulation-based training.
Participants: GPs, practice nurses, NPs, healthcare assistants.
Method: Prospective cohort study. Real-world simulation-based workshops were delivered. Training was delivered in the waiting rooms of general practices and their own equipment was used. Nine clinical scenarios were conducted.
Participants were asked about confidence using a Likert scale and open-ended question(s) around confidence and impacts of training pre-and post-workshop and 8-weeks after as well.
Strengths: Conducted iIn the waiting rooms of general practices. Large population sample. Longitudinal follow-up. Wide clinical scenarios reviewed.Weaknesses: Low response rates post-workshop.
Article: Practical management of emergencies in primary care: taking simulation out of the classroom and into real-life environments (2017)
Author: Forde et al.12
Setting: General practice surgeries in the region of Dorset, in the UK.Findings: Attended by 71 primary care staff – 59 doctors and 11 practice nurses and one HCA. Participants felt significantly more confident in managing medical emergencies after attending the workshops (mean rating = 7.5) compared to before (mean rating = 4.7), P < 0.01.
Participants: GPs, practice nurses, healthcare assistants.
Method: Prospective cohort study. 10 workshops held in general practice surgeries across a primary care network in the UK. Eight clinical scenarios were used. Participants were asked about confidence using a Likert scale and open-ended question(s) around confidence and the impacts of training pre and post-workshop.
Strengths: Hosted in general practice surgeries. Reasonably sized population sample. Wide clinical scenarios reviewed.Weaknesses: Same author as Emer Forde et al. 20194 (the above paper that was reviewed) and a similar method was used. Cross-sectional analysis only.
Article: Pediatric simulation cases for primary care providers: Asthma, anaphylaxis, seizure in the Office (2018)
Author: Sanseau et al.7
Setting: Seattle, USA.Findings: 48% of the total 50 respondents felt that the simulations affected how they would medically treat their patients, 34% responded that it affected the way that they would relate to and communicate with patients and families, and 52% responded that it affected how they educated patients and their families.
Participants: Primary care physicians, NPs, physician assistants, nurses, naturopaths and medical assistants.
Method: Prospective cohort study. Designed workshop with classroom-based simulations using only the resources available in primary care using high- and low-fidelity mannequins. Three emergency clinical scenarios. Conducted during an annual conference put on by the Seattle Children’s Hospital’s Division of Emergency Medicine for four consecutive years, but the survey was recorded from the workshop in 2017. Diverse participant population was surveyed to provide feedback on the course.
Strengths: Reasonably sized study population. Specified how to replicate stations in detail.Weaknesses: Unclear number of primary care physicians responded in this round of surveys. Cross-sectional data only. Not an in-clinic simulation.
Article: Transcutaneous cardiac pacing competency among junior residents undergoing an ACLS course: impact of a modified high-fidelity manikin (2018)
Author: Ranger et al.27
Setting: Montreal, Canada.Findings: 50 participants in each control and intervention arm. Study participants’ characteristics were similar in both cohorts; however, more participants in the control cohort had been exposed to a real case of unstable bradycardia (5 vs 0). Majority of participants were beginning a family medicine residency.
Participants: Junior residents beginning a residency programme.
Method: Prospective cohort study designed to evaluate the impact of teaching with modified high-fidelity simulation for transcutaneous pacing (TCP) of junior residents (intervention arm) compared to a cohort using a lower-fidelity mannequin (control arm). Incorporated within a mandatory ACLS course for junior residents beginning their residency programme.In the intervention cohort, 36% successfully completed all six tasks compared to 0% in the control group (<0.001). Participants in the intervention cohort were more likely to recognise that pacing was inefficient initially (86% vs 12%), to obtain ventricular capture (48% vs 2%) and to check for a pulse (48% vs 0%). Additionally, they completed these three tasks faster.
Competence judged by participants’ ability to complete six critical tasks necessary for successful TCP in simulation. Implemented between 2015 and 2016. Directly compared two consecutive cohorts completing the TCP station, and all preceding workshops and tutorials were the same.
Strengths: Details how to implement this high-fidelity simulation for readers. Directly compared high-fidelity to low-fidelity simulations for education.Weaknesses: Not conducted in a general practice clinic setting. Participants had not started working in the family medicine setting. Did not evaluate longitudinal or overall clinical impact.
Article: Medical emergencies in the primary care setting: an evidence-based practice approach using simulation to improve readiness (2019)
Author: Monachino et al.6
Setting: Study involving 30 primary care practices in the USA.Findings: 211 participants of which 47 were primary care doctors and the remaining a mixture of NPs, practice nurses and non-clinical staff.
Participants: Primary care doctors, NPs, practice nurses and non-clinical staff.For doctors, the mean change in self-perceived confidence was 3.83 vs 4.23 (P < 0.03), and self-perceived comeptence was 3.76 vs 4.3 (P < 0.000). Such changes were consistent for all groups including non-clinical staff, except for the medical assistants.
Method: Prospective cohort study involving a primary care network with 30 primary care practices, with an education programme conducted over 14 months. Curriculum included two full-immersive simulation scenarios within general practice surgeries.
Pre-and-post-educational curriculum surveys of participants.
Strengths: Occurred within the general practice surgery itself. Analysis of results occurred and differentiated between different groups of staff.Weaknesses: Cross-sectional analysis only and there were no data on impact on change of clinical practice. Only involved two simulation scenarios.
Article: Improving emergency in the clinic: a simulation curriculum to improve outpatient safety (2017)
Author: Espey et al.25
Setting: University of New Mexico Center for Reproductive Health, USA.Findings: 30 participants, four of whom were family medicine residents and 26 were obstetric and gynaecological residents. Approximately 50% were first-or-second year postgraduate doctors.
Participants: Obstetrics and Gynaecology (O + G) and Family Medicine residents.The mean number of days between hands-on training and post-curriculum testing was 78 days and pre-and-post-curriculum testing was 184 days.
Method: Prospective cohort study based in the USA involving O + G residents and family medicine residents. Three high-fidelity simulations were used, all involving post-obstetric procedure complications and all replicated within the resource limitations of a community-based clinic.Rated performance scores improved significantly for all competency domains in all emergency scenarios with the largest score differences in interpersonal skills and communication and systems-based practice domains. Self-perceived improvement in self-efficacy improved in all domains. All changes were statistically significant.
Participants filled out a self-efficacy questionnaire, completed the three pre-curriculum simulations, participated in both didactic and simulation-based training, and were post-tested by repeating the simulations and self-efficacy tool. Performances were also evaluated by two independent assessors using standardised marking criteria.
Strengths: Reviewed the use of high-fidelity simulations. Independent assessments of performance were used rather than relying only on self-assessments. Self-perceived improvement post-course occurred after 184 days suggesting sustained changes.Weaknesses: Confounding present as intervention involved didactic lectures, online-educational tools and simulation tools; hence it is difficult to how much of a positive effect simulations had as an independent intervention. Also, by using the same simulations post-course, it is arguable that participants would always objectively improve regardless of the form of intervention.
Not based within general practice clinics. Only looked at emergency obstetrics−gynaecology simulation scenarios. Low number of family medicine participants within a small sample size and without a secondary analysis of their performances specifically. Hence, the overall validity and generalisability of the study are limited.
Article: Using in situ simulation to improve care of the acutely ill patient by enhancing interprofessional working: a qualitative proof-of-concept study in primary care in England (2019)
Author: Halls et al.26
Setting: South-East England.Findings: 27 participants. 10 were GPs and all consented to interviews. 17 were various other roles including HCAs, nurses; non-clinical roles consented to interviews.
Participants: GPs, HCAs, nurses, non-clinical staff from three general practices.Themes identified were that participants can be unwilling to participate due to apprehension and anxiety prior to simulations and having a fear of feeling assessed.
Method: Qualitative proof-of-concept study aimed to develop an in-situ simulation of a medical emergency to use within primary care, and assess its acceptability and utility through participants’ reported experiences.Participants valued the realism of simulations, the opportunity to become familiar with equipment and procedures, and the opportunity to develop skills in teamwork. Participants felt that skills learnt were transferrable to clinical practice.
All centres made changes to equipment and staff training after the simulations.
Strengths: Qualitative study that explores some of the limitations and barriers in implementing emergency simulations in the primary care setting. Several practices participated. Simulations were recorded. Semi-structured interviews of participants were conducted after the simulations. Data were thematically analysed.Weaknesses: Technically, other authors have explored the use of simulation in primary care for the same objectives as stated in this article, and so the proof-of-concept has ‘already been proven’.

Discussion

The studies included in this literature review consistently demonstrated that emergency care simulation training significantly impacts confidence, clinical practice and emergency management systems in primary care.3,4,6,7,12,2527

Developing clinicians’ confidence in managing medical emergencies and developing appropriate protocols to manage these in primary care is crucial. Most medical emergencies are peri-arrest situations, and this is an area where GPs lack confidence and competence.29 Studies suggest that GPs feel that they know the theory of providing emergency care, but can lack the practical skills and confidence to manage these scenarios quickly and efficiently. This applies to both very experienced GPs and younger GPs who have recently undertaken hospital rotations, even for those with recent rotations in accident and emergency. Primary care providers and medical practices can be particularly ill-prepared to manage paediatric resuscitations.3032 This review showed the use simulations in primary care can have in developing confidence for staff to manage emergency cases. These results are consistent with the broader literature that suggests that the use of high-fidelity emergency simulations in primary care, including those for courses such as ACLS, is associated with improved skill performance after training.33 Simulation-based medical education has consistently been shown to positively affect learner skills, knowledge and attitudes, and patient outcomes.34,35 The findings from this literature review are also supported by a systematic review that concluded that simulation training improves several evaluation measures including self-efficacy (the degree of confidence in performing a procedure or providing patient care) and actual objective procedural competence.3640

This literature review has shown that hosting in-clinic emergency simulations can help improve the standardisation of medical equipment and policies. The lack of standardisation of emergency medical equipment, policies and training can be one of the reasons why primary care staff feel uncomfortable to manage emergencies.6,31,32 Emergency simulation training should be run in the learners’ native clinical environments with only the equipment and resources that would normally be available.7 Real-life simulation in general practice surgeries highlights organisational, equipment and system issues that may prevent the delivery of rapid and effective care. For example, problems such as clinical staff struggling with equipment are best identified through actual use, and therefore it is paramount staff develop familiarity with equipment.26

The other benefit to in-clinic simulation training is that targeted education and practice with teamwork and communication can lead to improved care from the real clinical team in a crisis.41 This literature review has shown that the benefits of in-clinic emergency simulations extend to both clinical and non-clinical staff.3,4,6,15 Emergency management requires good teamwork, communication and effective use of available resources by the whole primary care team;17 however, teams are dynamic and require commitment to work and acknowledge that there is a need to understand other people’s roles,42 and there is a need to practice together. Hence, this is why there has been a growing interest in the application of simulation-based training for non-clinicians and organisations as a whole.43 Simulated exercises have the potential to allow individuals to practise the management of emergencies within a team setting, and also allows teams to analyse and adapt their own performance.44 It also allows non-clinicians to gain experience and appreciation for the demands of patient care,43 emphasises the importance of defining team structures and processes,45 and provides participants with the opportunity to develop non-technical skills such as effective teamwork and communication.46 Furthermore, it is recommended that all staff participate in simulation training, as often a receptionist is the first person in a clinic to encounter a patient experiencing a medical emergency.6 Simulated waiting room emergencies provides a safe and supportive environment for staff to work together as a multi-disciplinary team (MDT) to manage infrequently occurring emergency scenarios.3 Team training has been identified as a high priority for the future of simulation.47 ‘The best way to ensure readiness for an emergency is to practice regularly in the office setting, with as many office staff members as possible participating. Simulated exercises, or mock codes, provide a good opportunity for staff members to practice the steps of an emergency’ (American Academy of Pediatrics Committee on Pediatric Emergency Medicine 2007, p. 204).5

The findings of this literature review identified common barriers to implementing clinic-based or clinic-wide simulation training. Some of the barriers identified were that participants can be unwilling to participate due to apprehension and anxiety prior to simulations and having a fear of ‘feeling of being assessed or observed’. A major practical barrier is that staff may not attend training simulations unless mandated.6 And it can be impractical to either close a medical centre to ensure most staff can be available or to conduct it out-of-clinic hours.26 However, there are practical advantages to hosting in-clinic simulation training. There can be lower training costs overall, no travel time or reduced personal expenses to participants, and it provides an opportunity for the entire inter-professional team to work together.26

Strengths

This literature review implemented a systematic approach. The literature search was initially broad, which helped reduce the risk of unknowingly missing potentially eligible studies. Although the included studies were heterogeneous in their study design and study populations, they were all consistent in their findings of the positive impacts simulated emergency training has for primary care providers.

Weaknesses

Rapid reviews are typically completed with collaboration from multiple authors; however, it is still possible to undertake with a sole author if a systematic process is undertaken,23 as it was for this review. Research on emergency simulation as a learning tool for prehospital care providers is still limited.48 A limited number of countries have published research in this area.30 These issues can impact the generalisability of the findings. Most of the studies included in this review were comparing emergency care simulation training to no intervention. Only one study compared high-fidelity emergency simulation training to low-fidelity simulations. This could then raise the question about if any education intervention, such as theory-based education, could show similar results to that of simulation-based training. However, a meta-analysis of 33 studies reviewed the effects of high-fidelity simulation in the education of undergraduate and postgraduate nurses in 2018 and demonstrated significantly larger effects for knowledge and performance when directly compared to any other teaching method.49 Furthermore, high-fidelity emergency simulations result in better outcomes regarding knowledge and skills acquisition when compared to low-fidelity simulations.27 There were no direct comparisons of in-clinic simulation training to training at an external location or with unfamiliar colleagues; hence, it is difficult to state with confidence, the overall impact high-fidelity in-clinic emergency simulation training has in comparison to low-fidelity or out-of-clinic simulation training.

Recommendations

Simulation training plays an increasingly important role in prehospital care management training.50,51 As such, it has become, or will become, a mainstay of many postgraduate medical training programmes.35 Several authors recommend that primary care organisations, training providers and education curricula should provide or incorporate ‘real-life’ simulation-based training for primary care clinicians.3 Although current training programmes may incorporate simulation training within other education courses, the findings of this review suggest that there should be more regular mandatory practice-based simulations for primary care clinicians. Primary care clinicians need regular education and training to deliver treatment when time-critical emergencies occur in the community.

Research in this area is relatively limited. In the future, there would be a benefit in conducting research in the context of the local healthcare system.30 Ideally, future research would directly compare the use of high-fidelity to low-fidelity simulations and compare real-in-clinic to out-of-clinic simulations.

Conclusions

In-clinic emergency simulation education in primary care provides a valuable platform to improve the confidence of emergency management for clinical and non-clinical staff. It also can lead to improvement of clinical processes and systems. Mandated simulation training for primary care clinicians could be incorporated into relevant postgraduate training programmes.

Data availability

Data sharing is not applicable as no new data were generated or analysed during this study.

Conflicts of interest

The author declares no conflicts of interest.

Declaration of funding

This study did not receive any specific funding.

References

Kuo DZ, Cohen E, Agrawal R, et al. A national profile of caregiver challenges among more medically complex children with special health care needs. Arch Pediatr Adolesc Med 2011; 165(11): 1020-6.
| Crossref | Google Scholar | PubMed |

Ong ME, Yan X, Lau G, et al. Out-of-hospital cardiac arrests occurring in primary health care facilities in Singapore. Resuscitation 2007; 74: 38-43.
| Crossref | Google Scholar | PubMed |

Lamb EI, Jenkins N, Male P, et al. Primary care emergencies: improved confidence in clinical and non-clinical members of the multidisciplinary team using a simulation programme. BMJ Simul Technol Enhanc Learn 2019; 5: 192-3.
| Crossref | Google Scholar | PubMed |

Forde E, Bromilow J, Jackson S, et al. Managing emergencies in primary care: does real-world simulation-based training have any lasting impact? BMJ Simul Technol Enhanc Learn 2019; 5: 57-8.
| Crossref | Google Scholar | PubMed |

American Academy of Paediatrics Committee on Pediatric Emergency Medicine.. Preparation for emergencies in the offices of pediatricians and pediatric primary care providers. Pediatrics 2007; 120(1): 200-12.
| Crossref | Google Scholar | PubMed |

Monachino A, Caraher C, Ginsberg J, et al. Medical emergencies in the primary care setting: an evidence based practice approach using simulation to improve readiness. J Pediatr Nurs 2019; 49: 72-8.
| Crossref | Google Scholar | PubMed |

Sanseau E, Reid J, Stone K, et al. Pediatric simulation cases for primary care providers: asthma, anaphylaxis, seizure in the office. MedEdPORTAL 2018; 14: 10762.
| Crossref | Google Scholar | PubMed |

Pietsch U, Schneider H, Schuhwerk W. Evaluation of multidisciplinary simulation-based team training: The way forward for training ICU teams. Intensive Care Med Exp 2015; 3(Suppl 1): A860.
| Crossref | Google Scholar |

Kneebone RL, Scott W, Darzi A, et al. Simulation and clinical practice: strengthening the relationship. Med Educ 2004; 38: 1095-102.
| Crossref | Google Scholar | PubMed |

10  Robertson J, Bandali K. Bridging the gap: enhancing interprofessional education using simulation. J Interprof Care 2008; 22: 499-508.
| Crossref | Google Scholar | PubMed |

11  Chronister C, Brown D. Comparison of simulation debriefing methods. Clin Simul Nurs 2012; 8: e281-8.
| Crossref | Google Scholar |

12  Forde E, Bromilow J, Wedderburn C. Practical management of emergencies in primary care: taking simulation out of the classroom and into real-life environments. BMJ Simul Technol Enhanc Learn 2018; 4: 43-4.
| Crossref | Google Scholar | PubMed |

13  Aqel AA, Ahmad MM. High-fidelity simulation effects on CPR knowledge, skills, acquisition, and retention in nursing students. Worldviews Evid Based Nurs 2014; 11: 394-400.
| Crossref | Google Scholar | PubMed |

14  Zinsmaster J, Vliem S. The influence of high-fidelity simulation on knowledge gain and retention. Nurse Educ Perspect 2016; 37: 289-90.
| Crossref | Google Scholar |

15  O’Leary F. Simulation as a high stakes assessment tool in emergency medicine. Emerg Med Australas 2015; 27: 173-5.
| Crossref | Google Scholar | PubMed |

16  Zante B, Schefold JC. Simulation training for emergency skills: effects on ICU fellows’ performance and supervision levels. BMC Med Educ 2020; 20: 498.
| Crossref | Google Scholar | PubMed |

17  Strachan AN, Graham AC, Hormis AP, et al. What were the perceptions of primary care teams on learning from a single multidisciplinary simulation-based training intervention? Educ Prim Care 2011; 22: 229-34.
| Crossref | Google Scholar | PubMed |

18  Royal New Zealand College of Urgent Care. Completing the training programme - Overview. 2024. Available at https://rnzcuc.org.nz/completing-the-training-programme/overview/

19  Division of Rural Hospital Medicine. Rural Hospital Medicine Training Programme Handbook 2024. In: Division of Rural Hospital Medicine, editor. New Zealand: The Royal New Zealand College of General Practitioners; 2024.

20  Resuscitation skills. Advanced life support training for health professionals. 2024. Available at https://www.resuscitationskills.com/onsite-visits

21  Tricco AC, Antony J, Zarin W, et al. A scoping review of rapid review methods. BMC Med 2015; 13: 224.
| Crossref | Google Scholar |

22  Klerings I, Robalino S, Booth A, et al. Rapid reviews methods series: guidance on literature search. BMJ Evid-Based Med 2023; 28: 412-7.
| Crossref | Google Scholar |

23  King VJ, Stevens A, Nussbaumer-Streit B, et al. Paper 2: Performing rapid reviews. Syst Rev 2022; 11: 151.
| Crossref | Google Scholar |

24  Joanna Briggs Institute. Critical appraisal tools. 2024. Available at https://jbi.global/critical-appraisal-tools

25  Espey E, Baty G, Rask J, et al. Emergency in the clinic: a simulation curriculum to improve outpatient safety. Am J Obstet Gynecol 2017; 217(6): 699.e1-3.
| Crossref | Google Scholar |

26  Halls A, Kanagasundaram M, Lau-Walker M, et al. Using in situ simulation to improve care of the acutely ill patient by enhancing interprofessional working: a qualitative proof of concept study in primary care in England. BMJ Open 2019; 9: e028572.
| Crossref | Google Scholar | PubMed |

27  Ranger C, Paradis MR, Morris J, et al. Transcutaneous cardiac pacing competency among junior residents undergoing an ACLS course: impact of a modified high fidelity manikin. Adv Simul 2018; 3: 24.
| Crossref | Google Scholar | PubMed |

28  Eastwick-Field P. No more tick box resuscitation training: simulation in the surgery. Br J Gen Pract 2017; 67: 25.
| Crossref | Google Scholar | PubMed |

29  Ramanayake RPJC, Ranasingha S, Lakmini S. Management of emergencies in general practice. J Family Med Prim Care 2014; 3: 305-8.
| Crossref | Google Scholar | PubMed |

30  Abelsson A, Rystedt I, Suserud BO, et al. Learning by simulation in prehospital emergency care – an integrative literature review. Scand J Caring Sci 2016; 30: 234-40.
| Crossref | Google Scholar | PubMed |

31  Bordley WC, Travers D, Scanlon P, et al. Office preparedness for pediatric emergencies: a randomized, controlled trial of an office-based training program. Pediatrics 2003; 112(2): 291-5.
| Crossref | Google Scholar | PubMed |

32  Mansfield CJ, Price J, Frush KS, et al. Pediatric emergencies in the office: are family physicians as prepared as pediatricians? J Fam Pract 2001; 50(9): 757-61.
| Google Scholar | PubMed |

33  Cheng A, Lockey A, Bhanji F, et al. The use of high-fidelity manikins for advanced life support training—a systematic review and meta-analysis. Resuscitation 2015; 93: 142-9.
| Crossref | Google Scholar | PubMed |

34  Motola I, Devine LA, Chung HS, et al. Simulation in healthcare education: a best evidence practical guide. Med Teach 2013; 35: e1511-30.
| Crossref | Google Scholar | PubMed |

35  Williams KL, Crocker P, Dubrowski A. Chest pain on the ward: a simulation scenario for rural family and emergency medicine trainees. Cureus 2020; 12(6): e8887.
| Crossref | Google Scholar | PubMed |

36  Robertson B, Schumacher L, Gosman G, et al. Simulation-based crisis team training for multidisciplinary obstetric providers. Simul Healthc 2009; 4: 77-83.
| Crossref | Google Scholar | PubMed |

37  Nishisaki A, Keren R, Nadkarni V. Does simulation improve patient safety? Self-efficacy, competence, operational performance, and patient safety. Anesthesiol Clin 2007; 25: 225-36.
| Crossref | Google Scholar | PubMed |

38  Reynolds A, Ayres-De-Campos D, Lobo M. Self-perceived impact of simulation-based training on the management of real-life obstetrical emergencies. Eur J Obstet Gynecol Reprod Biol 2011; 159: 72-6.
| Crossref | Google Scholar | PubMed |

39  Steadman RH, Coates WC, Huang YM, et al. Simulation-based training is superior to problem-based learning for the acquisition of critical assessment and management skills. CritCare Med 2006; 34: 151-7.
| Crossref | Google Scholar | PubMed |

40  Mishra A, Catchpole K, McCulloch P. The Oxford NOTECHS System: reliability and validity of a tool for measuring teamwork behaviour in the operating theatre. Qual Saf Health Care 2009; 18: 104-8.
| Crossref | Google Scholar | PubMed |

41  Doughty CB, Kessler DO, Zuckerbraun NS, et al. Simulation in pediatric emergency medicine fellowships. Paediatrics 2015; 136(1): e152-8.
| Crossref | Google Scholar |

42  Sargeant J, Loney E, Murphy G. Effective interprofessional teams: “contact is not enough” to build a team. J Contin Educ Health Prof 2008; 28: 228-34.
| Crossref | Google Scholar | PubMed |

43  Cooper J, Vogt JW, Simon R, et al. Team training for healthcare administrators using full environment simulation. International Meeting on Medical Simulation; 2004.

44  Fox R, Walker JJ, Draycott TJ. Medical simulation for professional development—science and practice. BJOG 2011; 118(Suppl 3): 1-4.
| Crossref | Google Scholar | PubMed |

45  Small SD, Wuerz RC, Simon R, et al. Demonstration of high-fidelity simulation team training for emergency medicine. Acad Emerg Med 1999; 6: 312-23.
| Crossref | Google Scholar | PubMed |

46  Watmough S, Box H, Bennett N, et al. Unexpected medical undergraduate simulation training (UMUST): can unexpected medical simulation scenarios help prepare medical students for the transition to foundation year doctor? BMC Med Educ 2016; 16: 110.
| Crossref | Google Scholar | PubMed |

47  Qayumi K, Pachev G, Zheng B, et al. Status of simulation in health care education: an international survey. Adv Med Educ Pract 2014; 5: 457-67.
| Crossref | Google Scholar | PubMed |

48  Bradley P. The history of simulation in medical education and possible future directions. Med Educ 2006; 40: 254-62.
| Crossref | Google Scholar | PubMed |

49  La Cerra C, Dante A, Caponnetto V, et al. Effects of high-fidelity simulation based on life-threatening clinical condition scenarios on learning outcomes of undergraduate and postgraduate nursing students: a systematic review and meta-analysis. BMJ Open 2018; 9: e025306.
| Crossref | Google Scholar | PubMed |

50  Good ML. Patient simulation for training basic and advanced clinical skills. Med Educ 2003; 37(Suppl. 1): 14-21.
| Crossref | Google Scholar | PubMed |

51  Criss EA. Patient simulators: changing the face of EMS education. JEMS 2001; 26(12): 24-31.
| Google Scholar | PubMed |