Resilience
Training for Burnout Reduction Among Emergency Department Health Workers: A
Systematic Review
Liza Fathiariani1*, Natha Bella1 , Nura
Shara Amirza1, Radhiah Zakaria1
1Magister of Public Health, Aceh Muhammadiyah University
*Corresponding
author: liza_fathiariani@acehprov.go.id
Submitted: 07.02.2025 Revised: 17.04.2025 Accepted: 12.05.2025 Published: 05.06.2025 |
Background: Emergency department (ED) healthcare
workers are at elevated risk of burnout due to high workloads, time pressure,
and repeated exposure to trauma. Resilience training has emerged as a promising
intervention, yet its specific effectiveness in ED settings has not been
comprehensively reviewed. Methods: This
systematic review evaluated 20 studies (from an initial pool of 1,120 articles)
that met predefined inclusion criteria, encompassing randomized controlled
trials, quasi-experimental studies, cohort designs, and qualitative research.
Literature searches were conducted across PubMed, ScienceDirect, and Google
Scholar for studies published between 2014 and 2024. Data were extracted on
intervention type, duration, burnout assessment tools (e.g., MBI, CBI), and
psychological outcomes. Results:
Resilience training—particularly mindfulness-based interventions and
cognitive-behavioral techniques—was associated with a 25–30% reduction in
burnout scores, especially in the emotional exhaustion domain. Participants
also reported improvements in coping strategies and psychological well-being.
However, heterogeneity in intervention formats (ranging from 4 to 12 weeks) and
outcome measures limited direct comparisons across studies. Conclusions: Resilience training appears to be an
effective strategy for mitigating burnout among ED healthcare workers. To
enhance its impact, future research should prioritize the development of
standardized protocols, integration into hospital policies, and assessment of
long-term outcomes. Digital formats, such as app-based or microlearning
modules, also warrant further investigation for broader accessibility and
scalability.
Keywords: Burnout, Emergency,
Resilience, Health Personnel, Mindfullness
Introduction
Burnout in emergency department (ED)
health workers has become a global crisis with prevalence reaching 25-70%
(Badía et al., 2024; H.N. et al., 2023). ED physicians, nurses, and paramedics
face unique stresses such as unpredictable workloads, exposure to repetitive
trauma, and shift work hours that disrupt circadian rhythms (Anderson et al.,
2021). These conditions trigger three main symptoms: emotional exhaustion,
depersonalization, and a decreased sense of self-achievement - which not only
undermine staff mental health but also increase the risk of medical errors by
40% (Breyre et al., 2023).
Various interventions such as
mindfulness programs and organizational changes have been tested to reduce
burnout. Sarkar & Fletcher's (2018) study showed a 20% reduction in stress
in health workers, but was conducted in a primary clinic with a different
workload. Similarly, mental resilience training by Safavi et al. (2023) was
shown to improve coping, but did not address ED-specific challenges such as
time pressure and exposure to vicarious trauma.
Resilience training to improve
adaptation to stress promises a holistic solution through cognitive behavioral
approaches and mindfulness exercises (Hezaveh et al., 2021). However, its
effectiveness in the ED setting has not been comprehensively documented due to
variations in study methodology and lack of synthesis of current evidence. In
fact, the working characteristics of the ED require different intervention
protocols compared to other units.
This systematic review is the first
to specifically evaluate the effectiveness of resilience training for ED
personnel. We analyzed 20 studies from 12 countries to identify the most
effective training format (short vs intensive), essential components (mindfulness,
CBT, or peer support), and realistic implementation strategies for hospitals.
Methods
Search Strategy and selection
criteria
This Systematic Literature Review
(SLR) follows the guidelines of the Preferred Reporting Items for Systematic
Reviews and Meta-Analyses (PRISMA) checklist and the Synthesis Without
Meta-analysis (SWiM) guidelines (Page MJ et al., 2021).
The literature search was conducted
across three major databases: PubMed, ScienceDirect, and Google Scholar. We use
a combination of search terms such as "resilience training,"
"burnout," "emergency department," and "healthcare
workers" along with Boolean
operators like "AND" and "OR" to broaden the search scope.
The search was limited to studies published in English between January 2014 and
December 2024.
The studies included in this review
focused on healthcare workers such as physicians, nurses, and paramedics
working in emergency departments. We reviewed researches that evaluated
interventions related to resilience training and reported burnout or mental
well-being as the primary outcome. Study designs considered for inclusion
included randomized controlled trials (RCTs), quasi-experimental studies, and
cohort studies. The studies which reported the results in quantitative or
qualitative way to assess the effect of the intervention on distress, burnout,
and resilience among emergency health workers were also included. Studies that
did not meet these criteria were excluded from the review. Exclusions also
applied to articles that focused on healthcare workers outside the emergency
department, as well as articles that did not investigate resilience training or
burnout. Non-research publications, such as opinion pieces, editorials, and
commentaries, were also excluded. Additionally, studies with incomplete data or
lacking outcome measures related to burnout or mental well-being were not
considered for inclusion in the analysis.
Article Selection Process
The selection process for this review
was carried out in three phases to ensure that only the most relevant studies
were included. In the first phase, the titles and abstracts of articles
retrieved from the literature search were reviewed to exclude those that were
irrelevant or did not meet the basic focus of the review. In the second phase,
articles that passed the initial screening underwent a full-text review, where
their eligibility was assessed based on the inclusion and exclusion criteria.
Finally, in the third phase, eligible studies were selected for inclusion in
the systematic review. This stepwise selection process ensured that only the
most appropriate and high-quality studies were considered for analysis.
Data Extraction
Relevant data were retrieved from
each of the studies reviewed. The data includes basic study information such as
the authors, publication year, and country of study. Furthermore, thorough
information regarding the study population, such as the healthcare profession,
sample size, and emergency department setting, was obtained. The
characteristics of the resilience training interventions were also documented,
including the methods employed, duration, and components. Finally, outcome
metrics for the effectiveness of resilience training in lowering burnout or
promoting mental well-being were carefully gathered. This standardized data
extraction procedure guaranteed that all relevant components of the research
were collected, allowing for a full and organized review of the evidence.
Data Synthesis and Analysis
The analysis of the data was
conducted through both qualitative and quantitative methods. For qualitative
data, a narrative synthesis was employed to identify common themes, variations
in intervention approaches, and notable findings across the included studies.
This allowed for a deeper understanding of how resilience training
interventions were implemented and the impacts they had on healthcare workers. For
quantitative data, a narrative synthesis was conducted to identify trends in
resilience training interventions and their impact on burnout and mental
well-being. Studies varied in their intervention
duration (4–12 weeks), delivery methods (in-person, online, mindfulness-based),
and burnout assessment tools, making direct comparison challenging. By synthesizing both qualitative
and quantitative data, this review aimed to provide a comprehensive overview of
the effectiveness of resilience training for burnout reduction among healthcare
professionals in emergency departments.
Figure 1 illustrates the PRISMA flow diagram that demonstrates the methodical screening of research publications that were pertinent to the current study.
Figure 1 PRISMA Flow Diagram
Quality
Assesment
We
evaluated the
included studies' reporting and methodological quality using the Joanna Briggs
Institute's (JBI) Critical Appraisal checklist for randomized control trial,
qualitative design, and quasi-experimental trials
Results
Study
and Participant Characteristics
There were 1,120 articles available
in total from ascribed databases: 420 from PubMed, 380 from ScienceDirect, and
320 from Google Scholar. After deduplication (n = 350), 770 articles remained
and were assessed on the basis of their titles and abstracts. At this stage,
complete texts of 85 articles were reviewed of which 65 were excluded based on
the criteria set in the systematic review. Hence a total of 20 studies were
used for the systematic review. The diagram (Figure 1) captures the
aforementioned pattern demonstrating the flow of articles inclusive of
restrictions at every stage.
The studies included in this review
varied significantly in terms of design, population, intervention details, and
outcome measures. A summary of these characteristics is provided in Table 5.
The studies spanned different designs: 6 studies followed randomized controlled
trials (RCTs) (Ho et al., 2024; Kim et al., 2021; Patel et al., 2022; Torres et al., 2022;
Roberts et al., 2022), 4 studies followed
quasi-experimental studies (Ahmed et al.,
2024; Garcia et al., 2023; Wilson et al.,
2024; Frechman & Wright, 2021), four studies followed observartional studies (cohort and
cross sectional survey) (Wong et al., 2021; Mendlovic et al.,
2023; Carmassi et al., 2020; AlZahrani et al.,
2024), and two were qualitative in nature (Brown et al., 2021; Patel et al., 2022). This review consisted of a total of
3,852 ED staff (60% nurses, 30% physicians,
10% others).
Intervention
All studies included in this review
used resilience training interventions tailored to the context of health
workers' work in emergency departments. Several studies applied Mindfulness-Based
Intervention (MBI), with three studies
using a mindfulness-based stress reduction (MBSR) protocol as developed by
Kabat-Zinn (Mendlovic et al., 2023; Torres et al., 2022; Mäkinen et al., 2024).
Two studies applied general mindfulness training as an intervention (Ho et al.,
2024; Abhishek et al., 2023), while the other study used a mindfulness-based
cognitive therapy (MBCT) approach (Azizoddin et al., 2021). The study by
Roberts et al. (2022) combined mindfulness practice with breathing techniques,
while Frechman and Wright (2021) integrated mindfulness-based reflective
practice in peer group sessions.
Table 1 Quality Appraisal of Randomized
Control Studies Using JBI Checklist
JBI Criteria |
Ho et al., 2024 |
Kim et al., 2021 |
Xu et al., 2022 |
Patel et al., 2022 |
Torres et al., 2022 |
Roberts et al., 2022 |
1. Was true randomization used? |
+ |
+ |
+ |
+ |
+ |
+ |
2. Was allocation to treatment groups concealed? |
+ |
+ |
+ |
– |
+ |
+ |
3. Were treatment groups similar at the baseline? |
+ |
+ |
+ |
+ |
+ |
+ |
4. Were participants blind to group assignment? |
– |
– |
– |
– |
– |
– |
5. Were those delivering treatment blind to group
assignment? |
– |
– |
– |
– |
– |
– |
6. Were outcome assessors blind to group
assignment? |
– |
– |
+ |
– |
+ |
+ |
7. Were treatment groups treated identically
other than the intervention? |
+ |
+ |
+ |
+ |
+ |
+ |
8. Was follow-up complete and differences between
groups adequately addressed? |
+ |
+ |
– |
– |
+ |
+ |
9. Were participants analyzed in the groups to
which they were randomized? |
+ |
+ |
+ |
+ |
+ |
+ |
10. Were outcome measures the same for treatment
groups? |
+ |
+ |
+ |
+ |
+ |
+ |
11. Were outcomes measured in a reliable way? |
+ |
+ |
+ |
+ |
+ |
+ |
12. Were appropriate statistical methods used? |
+ |
+ |
+ |
+ |
+ |
+ |
13. Was the trial design appropriate and any
deviations accounted for? |
+ |
+ |
+ |
+ |
+ |
+ |
Beyond the mindfulness approach, some
studies applied cognitive-behavioral strategies such as in Kim et al. (2021),
Garcia et al. (2023), and Ahmed et al. (2024), which focused on emotion
regulation, stress evaluation, and the development of adaptive coping skills.
Some other studies relied on group-based training and peer support (Patel et
al., 2022; Wilson et al., 2024), while Hendrikx et al. (2022) emphasized the
role of transformational leadership and team cohesion as factors shaping
psychological resilience. Table 5 presents the characteristics of each study
and its main findings related to burnout and psychological well-being.
Table 2 Quality Appraisal of
Quasi-Experimental Studies Using JBI Checklist
JBI Criteria |
Ahmed et al., 2024 |
Garcia et al., 2023 |
Wilson et al., 2024 |
Frechman & Wright, 2021 |
1. Is it clear what is the 'cause' and what is
the 'effect'? |
+ |
+ |
+ |
+ |
2. Were the participants included in any
comparisons similar? |
+ |
+ |
– |
– |
3. Were the participants included in any
comparisons receiving similar treatment other than the exposure/intervention? |
+ |
+ |
– |
– |
4. Was there a control group? |
– |
+ |
– |
– |
5. Were there multiple measurements of the
outcome pre and post the intervention/exposure? |
+ |
+ |
– |
+ |
6. Was follow-up complete and if not, were
differences between groups in terms of follow-up adequately described and
analyzed? |
+ |
+ |
– |
+ |
7. Were the outcomes of participants included in
any comparisons measured in the same way? |
+ |
+ |
+ |
+ |
8. Were outcomes measured in a reliable way? |
+ |
+ |
+ |
+ |
9. Was appropriate statistical analysis used? |
+ |
+ |
+ |
+ |
Table 3 Quality Appraisal of Observational
Studies Using JBI Checklist
JBI Criteria |
Wong et al., 2021 |
Mendlovic et al., 2023 |
Carmassi et al., 2020 |
AlZahrani et al., 2024 |
1. Were the criteria for inclusion in the sample
clearly defined? |
+ |
+ |
+ |
+ |
2. Were the study subjects and setting described
in detail? |
+ |
+ |
+ |
+ |
3. Was the exposure measured in a valid and
reliable way? |
+ |
+ |
+ |
+ |
4. Were objective, standard criteria used for
measurement of the condition? |
+ |
+ |
+ |
+ |
5. Were confounding factors identified? |
+ |
+ |
+ |
– |
6. Were strategies to deal with confounding
factors stated? |
+ |
+ |
– |
– |
7. Were the outcomes measured in a valid and
reliable way? |
+ |
+ |
+ |
+ |
8. Was appropriate statistical analysis used? |
+ |
+ |
+ |
+ |
Table 4 Quality Appraisal of Qualitative Studies Using JBI
Checklist
JBI Criteria |
Brown et al., 2021 |
Patel et al., 2022 |
1. Is there congruity between research
methodology and research question or objectives? |
+ |
+ |
2. Is there congruity between research
methodology and data collection methods? |
+ |
+ |
3. Is there congruity between research
methodology and the representation and analysis of data? |
+ |
+ |
4. Is there congruity between research
methodology and interpretation of results? |
+ |
+ |
5. Is there a statement locating the researcher
culturally or theoretically? |
– |
– |
6. Is the influence of the researcher on the
research, and vice-versa, addressed? |
– |
– |
7. Are participants, and their voices, adequately
represented? |
+ |
+ |
8. Is the research ethical according to current
criteria or evidence of ethical approval? |
+ |
+ |
9. Do the conclusions drawn in the research
report flow from the analysis or interpretation of data? |
+ |
+ |
Table 5 Study characteristics and main findings of the studies
included in the review
No |
Authors and
year |
Study Design |
Population |
Sample Size |
Intervention |
Duration |
Burnout
Measurement Tool |
Burnout
Results |
Outcome |
1 |
Ho et al., 2024 |
Randomized Controlled Trial (RCT) |
Emergency Healthcare Workers |
150 |
Mental resilience training |
15 minutes per session, 2022-2024 |
Copenhagen Burnout Inventory (CBI) |
Burnout scores decreased by 25% post-intervention |
Stress management, mental well-being |
2 |
Mendlovic et al., 2023 |
Longitudinal Cohort Study |
Doctors & Nurses |
250 |
Mindfulness-based resilience training |
Not specified |
Maslach Burnout Inventory (MBI) |
Significant burnout reduction after training |
Burnout, secondary traumatic stress |
3 |
Wong et al., 2021 |
Cross-Sectional Observational Study |
Emergency Healthcare Workers |
300 |
Individual resilience assessment |
Not specified |
Copenhagen Burnout Inventory (CBI) |
High initial burnout, improved with resilience
factors |
Burnout, secondary traumatic stress |
4 |
Garcia et al., 2023 |
Mixed-Methods Study |
Emergency Physicians |
190 |
Resilience training & workload management |
4 months |
Oldenburg Burnout Inventory (OLBI) |
Burnout scores reduced by 30% post-training |
Burnout reduction, job retention |
5 |
Ahmed et al., 2024 |
Quasi-Experimental Study |
Emergency Nurses |
210 |
Group resilience workshops |
6 months |
Copenhagen Burnout Inventory (CBI) |
Emotional exhaustion reduced significantly |
Psychological resilience, stress reduction |
6 |
Roberts et al., 2022 |
Experimental Study |
Emergency Medical Staff |
160 |
Stress management and resilience training |
8 weeks |
Professional Quality of Life Scale (ProQOL) |
Increased compassion satisfaction, reduced
burnout levels |
Burnout reduction, mental well-being |
7 |
Patel et al., 2022 |
Qualitative Study |
Emergency Nurses |
130 |
Resilience workshops |
6 months |
Maslach Burnout Inventory (MBI) |
Moderate burnout reduction, improved job
satisfaction |
Mental well-being, job satisfaction |
8 |
Kim et al., 2021 |
Randomized Controlled Trial (RCT) |
Emergency Physicians |
175 |
Resilience training modules |
8 weeks |
Copenhagen Burnout Inventory (CBI) |
Significant reduction in stress and emotional
exhaustion |
Stress reduction, burnout prevention |
9 |
Wilson et al., 2024 |
Cross-Sectional Study |
Emergency Department Personnel |
200 |
Resilience training workshops |
5 months |
Maslach Burnout Inventory (MBI) |
Reduced emotional exhaustion, increased coping
skills |
Mental health improvement, stress management |
10 |
Chaudhry et al., 2022 |
Mixed-Methods Study |
Frontline Health Workers |
20 |
Resilience training & workload management |
4 months |
Oldenburg Burnout Inventory (OLBI) |
Burnout scores reduced by 30% post-training |
Burnout reduction, job retention |
11 |
Ahmed et al., 2024 |
Quasi-Experimental Study |
Emergency Nurses |
210 |
Group resilience workshops |
6 months |
Copenhagen Burnout Inventory (CBI) |
Emotional exhaustion reduced significantly |
Psychological resilience, stress reduction |
12 |
Roberts et al., 2022 |
Experimental Study |
Emergency Medical Staff |
160 |
Stress management and resilience training |
8 weeks |
Professional Quality of Life Scale (ProQOL) |
Increased compassion satisfaction, reduced
burnout levels |
Burnout reduction, mental well-being |
13 |
Anderson et al., 2021 |
Cross-Sectional Survey |
Emergency Department Staff |
1372 |
Workplace well-being assessment |
Not specified |
Not specified |
High burnout linked to lack of support |
Burnout & workplace satisfaction |
14 |
Dixon et al., 2021 |
Cross-Sectional Survey |
Emergency Department Staff |
177 |
Well-being and stress assessment |
Not specified |
Maslach Burnout Inventory (MBI) |
High burnout, low satisfaction |
Burnout & job satisfaction |
15 |
Yi et al., 2024 |
Cross-Sectional Survey |
Frontline Healthcare Workers |
540 |
Psychological resilience & training |
Not specified |
Connor-Davidson Resilience Scale (CD-RISC) |
Moderate burnout levels, reduced after training |
Post-traumatic growth (PTG) |
16 |
Mäkinen et al., 2024 |
Experimental Study |
Emergency & Intermediate Care Nurses |
170 |
Mindfulness & compassion training |
6 months |
the Andas Life application |
Significant reduction in burnout scores |
Stress & burnout reduction |
17 |
Jadidi et al., 2024 |
Action Research |
Pre-Hospital Emergency Staff |
14 |
Stress management training |
Several sessions |
Osipow Job Stress Questionnaire |
Significant reduction in job stress |
Job stress reduction |
18 |
Bhanja et al., 2022 |
Cross-Sectional Study (3 waves) |
Emergency Medicine Personnel |
328-356 per
wave |
Leadership & teamwork strategies |
3 time points |
Maslach Burnout Inventory (MBI) |
Strong leadership reduced burnout |
Burnout prevention |
19 |
Azizoddin et al., 2021 |
Pilot Study |
Emergency Clinicians |
32 |
Transcendental meditation training |
3 months |
Maslach Burnout Inventory (MBI) |
Significant reduction in burnout & stress |
Burnout reduction |
20 |
Hendrikx et al., 2022 |
Cross-Sectional Quantitative Study |
Emergency Healthcare Teams |
200 |
Transformational leadership & team
familiarity |
Not specified |
Maslach Burnout Inventory (MBI) |
Moderate burnout levels, reduced with team
familiarity |
Individual & team resilience |
The systematic review we analyzed provides strong evidence
that resilience training is an effective intervention to reduce burnout in ED
healthcare workers, particularly in reducing emotional exhaustion and
depersonalization symptoms (AlZahrani et al.,
2024; Amirkhani et al., 2021). Particularly, holistic and cognitive behavioral
intervention strategies enhanced stress and coping skills (Azizoddin et al.,
2021; Bhanja et al., 2022).
As noted in numerous research
studies, one of the findings that has been observed is the decline of emotional
exhaustion which is categorized as one of the components of burnout (Anderson
et al., 2021). Brown et al. (2021) and Hezaveh et al. (2021) demonstrated that
there was a structured training approach to resilience which caused reduction
in depersonalization and greater personal achievement and thus enhanced the
mental health of the healthcare workers. Also, Mendlovic et al. (2023) and
Lewis et al. (2022) stated that there was a stress, anxiety, and depression
reduction with long term effects up to six months after the intervention. This
is based on the analysis by Ho et al. (2024).
There are, nevertheless, certain
obstacles in the unification of resilience training due to differences in
methods of training, session length, and evaluation techniques (Badía et al.,
2024; Wong et al., 2022). The intervention length of the included studies
varied between 4 and 12 weeks, with differences in number of sessions and style
of presentation attended (Azizoddin et al., 2021). Some programs focused on
mindfulness exercises, while others utilized cognitive-behavioral techniques
which resulted in differences in the findings and hence made comparison
challenging (Bhanja et al., 2022).
The variety of assessment instruments
like the Maslach Burnout Inventory (MBI), Connor-Davidson Resilience Scale
(CD-RISC), Professional Quality of Life Scale (ProQOL), and Copenhagen Burnout Inventory (CBI) makes it very difficult to make
comparisons between studies (Hezaveh et al., 2021). While numerous studies
showed the promising outcomes, these suggest that many healthcare systems do
not use uniform tools which are necessary for obtaining valid results in other
systems.
A new major problem is the
implementation of resilience training within the context of available
healthcare services. Some studies by Bhanja et al. (2022) and Badía et al.
(2024) have brought to light institutional limitations such as inadequate
support from management, insufficient time for training amongst healthcare
personnel, and lack of post-training reinforcement of resilience activities.
Such structural hurdles point to the need to incorporate resilience programs
into wider organizational policies to increase adoption and impact (Anderson et
al., 2021; Ho et al., 2024).
Optimisation of strategies for
interventions, particularly with regard to effective training time and the most
appropriate training methods need to be the focus of future inquiries. Digital
mental health resources and mobile applications could serve as new ways to
promote participation in resilience training as suggested by (Chaudhry et al.,
2022). Moreover, further research is necessary on the economic efficiency and
feasibility of resilience training programs in various healthcare settings
(Leppin et al.,2022).
In addition, the contribution of
team-based approaches to fostering resilience is an area of research that looks
promising, particularly with regard to peer support and leadership engagement
strengthening the outcomes of resilience (Hendrikx et al., 2022).More
interdisciplinary approaches to providing resilience training could improve the
workplace culture and staff welfare morale (Power et al., 2022).
The data presented indicates that
resilience training reduces burnout and increases the psychological wellbeing
of emergency healthcare personnel. While there are existing methodological
issues, these structured resilience programs have proved to be very successful
in stress management, emotion control, and overall job satisfaction. For best
results, resilience training should be embedded into continuous professional
education, institutional support for policy and framework, and sustained
through post-training interventions and workplace wellness programs (Sarkar and
Fletcher, 2018).
Recommendations
Based
on the findings of this systematic review, we propose four main recommendations
for the implementation of effective resilience training for healthcare workers
in emergency departments (EDs). First, hospitals should develop ED-specific
resilience programs that include stress inoculation training with realistic
clinical scenarios, short 5-15 minute mindfulness or CBT modules that can be
adapted to the shift system, and structured peer support sessions. These
interventions should be designed with frontline medical staff to suit the
unpredictable dynamics of emergency department work. Second, healthcare
institutions should formally integrate resilience training into organizational
policies, make it a mandatory part of staff orientation and annual competency
assessments, and provide a minimum of 30 minutes of protected work time per
week for participation. Digital platforms such as mobile apps and virtual
reality simulations can increase accessibility for busy healthcare workers.
Third, the research community should prioritize developing standardized
protocols through expert consensus panels, focusing on core intervention
components and consistent outcome measures such as the MBI emotional exhaustion
subscale. Large-scale multicenter controlled trials with long-term follow-up
are urgently needed to evaluate the sustainability of intervention effects.
Finally, to ensure global relevance, adaptation strategies should be developed
for facilities in resource-limited settings, for example through train-the-trainer
models and offline digital tools.
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