Abstract
Background
Nurse burnout is a pervasive issue impacting their well-being and patient care quality. Recognized by the World Health Organization as an “occupational phenomenon,” burnout results from inadequately managed chronic workplace stress and manifests as emotional exhaustion, depersonalization, and reduced personal accomplishment. This can lower the quality of life and increase turnover. Effective interventions are vital to overcome nurse burnout and its consequences.
Objective
This systematic review explored and analyzed the effectiveness of person-directed psychoeducational interventions in reducing nurse burnout.
Materials and methods
A comprehensive search of five databases was conducted for studies published between 2014 and 2023, following PRISMA guidelines. Eligible studies that reported outcomes of psychoeducational interventions using validated evaluation tools were included. Data were extracted using standardized forms, and quality was assessed with Joanna Briggs Institute critical appraisal tools. A thematic narrative synthesis was performed.
Results
27 studies met the inclusion criteria. Interventions including mindfulness-based interventions and cognitive-behavioral therapy, delivered either in combination or on their own, were shown to be effective in reducing nurses’ burnout in 24 studies. However, the sustainability of these effects varied, with limited long-term follow-up data. Additionally, delivery formats (physical, digital, or combined), also influenced effectiveness, suggesting the importance of tailored interventions to specific contexts and needs of the target population.
Conclusions
Psychoeducational interventions effectively reduce nurse burnout but need further investigation to ensure long-term sustainability. Future research should target diverse settings, incorporate objective and subjective outcome measures, and explore a broader range of interventions to strengthen evidence of burnout management strategies.
Introduction
Background
Burnout among nurses carries significant implications [1]. Recognized by the World Health Organization (WHO) as an “occupational phenomenon,” nurse burnout results from chronic workplace stress that is inadequately managed [2]. In the International Classification of Diseases, 11th Revision (ICD-11), burnout is defined as feelings of exhaustion, depersonalization, and diminished personal accomplishment [3]. According to Maslach’s conceptualization [4], emotional exhaustion (EE) entails feeling emotionally drained and lacking in emotional reserves, while depersonalization (DP) or cynicism involves a negative and detached response to others. Reduced personal accomplishment (PA) refers to declined feelings of competence and performance at work. The consequences of nurse burnout are far-reaching; it lowers quality of life, performance levels, and organizational commitment. Worse still, it may escalate their intention to leave [5], potentially exacerbating staff turnover and the quality of nursing care [6].
In 2020, the global pooled prevalence of nurse burnout was 11.2% [7]. However, preceding studies evaluating burnout symptoms indicated rates as high as 40.0% [8,9]. Post-COVID-19 pandemic, the rate has soared to as high as 68.0% [10]. Its prevalence in Asia is particularly worrying due to the challenging working conditions in the region, including low nurse-patient ratios and an aging population. This viewpoint is supported by a meta-analysis conducted by Woo et al. (2020) [7], which identified Southeast Asia and the Pacific regions as exhibiting the highest prevalence (13.7%) of nurse burnout. Moreover, a Malaysian national survey conducted in 2019 revealed an overall nurse burnout prevalence that was higher than the global average (24.4%) [11]. This finding was reinforced by Abd Wahab et al. (2023) [12], whose study highlighted a prevalence of work-related stress among healthcare professionals (HCPs), particularly nurses, at 24.3%.
Given the severity, many interventions have been taken at various levels to prevent and manage the nurse burnout epidemic. Addressing burnout in this population necessitates a comprehensive approach that encompasses both person- and organization-directed interventions [13]. Organization-directed interventions target specific systemic factors, such as modifying schedules, reducing workload intensity, enhancing teamwork and organizational culture, and increasing job control and resources [13]. While research has demonstrated the effectiveness of these interventions in reducing burnout [14,15], they face notable obstacles, including resistance to change [16], constraints on resources and leadership support [17], and challenges related to organizational culture [3]. In contrast, person-directed burnout interventions aim to enhance individual skills, resilience, and coping mechanisms, thereby providing immediate relief and improving job satisfaction and retention [16].
One such person-directed intervention, psychoeducation, involves educating individuals about mental health conditions, treatment options, and coping strategies through various formats such as face-to-face individual or group sessions as well as via online resources [18,19]. Psychoeducation interventions range from mindfulness, self-assessment, cognitive-behavioral techniques, rational emotive training, gratitude practice, meditation, and relaxation methods in the literature. These interventions empower nurses to manage their well-being and resilience by emphasizing intrinsic motivation and satisfaction. According to Pines (2000) [20], burnout reduction can be attained through the enhancement of coping skills such as cognitive stress management, relaxation techniques, effective time management, and social skills training. Nevertheless, the types of intervention may vary and different effect sizes have been reported [21].
While several reviews have been published on interventions to reduce nurse burnout, their scopes differ from ours. Notably, previous reviews have examined combined-strategy burnout interventions: Zang et al. (2020) [22] included both nurses and physicians, whereas Lee and Cha (2023) [23] focused specifically on nurses. Additionally, Hsu et al. (2024) [24] recently conducted a comprehensive evaluation of the efficacy of individual-based methods to reduce nursing burnout. Our review will examine a wider array of psychoeducational burnout interventions, including but not limited to mindfulness training. To the best of our knowledge, most systematic reviews of person-directed interventions focused exclusively on mindfulness training [25,26]. By providing a more comprehensive understanding of the available psychoeducational strategies, we hope to provide valuable insights for healthcare managers and policymakers to establish evidence-based burnout interventions that are effective in preventing and managing burnout among nurses.
Objectives
Given the alarming prevalence of nurse burnout, it is crucial to identify effective psychoeducation-based interventions that can be implemented to mitigate burnout. This review aims to systematically examine and analyze prior research on person-directed psychoeducational interventions for burnout, assessing their impact and efficacy in mitigating burnout symptoms among nurses. Specifically, the review aims to address the following research questions:
What available person-directed psychoeducational burnout interventions are used across various healthcare settings to reduce nurse burnout levels?
Which of these interventions have been shown to effectively manage nurse burnout?
The findings will generate a comprehensive list of evidence-based burnout interventions that can be incorporated into modules specifically tailored to reducing nurse burnout. Moreover, the review will highlight sustainable and effective strategies for mitigating burnout. By thoroughly studying numerous psychoeducational interventions, assessing their efficacy in various nursing contexts, and identifying significant moderators and mediators that influence intervention outcomes, our systematic review aims to close this knowledge gap on how multiple strategies can synergistically reduce burnout symptoms among nursing personnel.
Materials and methods
Overview
This systematic review was conducted using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) checklist to ensure the quality and consistency of the procedure and reporting [S1 and S2 Tables]. A publicly available protocol was registered in the International Prospective Register of Systematic Reviews (PROSPERO) database. Additionally, the published protocol [27] acted as the blueprint for guiding the systematic exploration and mapping of the current literature concerning person-directed psychoeducational burnout interventions among nurses [S1 Data]. As this study involved a review of existing literature and did not involve human participants, ethical approval was not required.
Search strategy
Five electronic research databases (PubMed-Medline, EBSCOhost, Ovid Medline, Scopus, and ScienceDirect) were searched. Our search strategy combined three key blocks of terms (burnout, nurses, burnout intervention) using Medical Subject Headings (MESH) terms, subject-specific headings, and keywords. Boolean operators (“AND” and “OR”) were applied to refine the search process. Examples of search strategies used for the databases are outlined in Table 1. In addition, a manual search for relevant articles was also conducted by examining the reference lists of articles included. Studies published in languages other than English and non-peer-reviewed journals were excluded. The search was limited to the ten years from January 1st, 2014, and December 31st, 2023.
Table 1. Examples of search strategies used for various databases.
| Database | Search strategy |
|---|---|
| PubMed-MEDLINE | ((((((((nurse*) AND (psychoeducation)) OR (coping)) OR (burnout intervention*)) OR (cognitive behavioural therapy)) OR (cognitive behavioural therapy)) OR (mindfulness)) OR (stress reduction)) AND (burnout) |
| Ovid MEDLINE | (((nurse*) and (psychoeducation or coping or burnout intervention* or cognitive behavioural therapy or cognitive behavioural therapy or mindfulness or stress reduction)) and (burnout))) |
| ScienceDirect | (“nurse”) AND (“psychoeducation” OR “coping” OR “burnout intervention” OR “cognitive behavioural therapy” OR “cognitive behavioural therapy” OR “mindfulness” OR “stress reduction”) AND (“burnout”) |
In the initial stage, study titles and abstracts were screened, followed by a thorough examination of the full texts of the selected studies to determine the eligibility criteria. Searches, eligibility assessments, and data extraction were performed independently in an unblinded standardized manner by all team members working in pairs. Next, full-text appraisal was performed on selected articles before the list of included studies was finalized. Any discrepancies between reviewers at any stage of the record selection, data extraction, or appraisal process were first discussed between the paired reviewers to reach a consensus. If an agreement could not be reached, the issue was escalated to a broader team discussion involving all researchers. Final decisions were made through mutual agreement, ensuring methodological rigor and minimizing bias. This structured approach facilitated the inclusion of studies that best met the research criteria while maintaining the integrity and reliability of the review.
Study selection
To facilitate the search strategy of this systematic review, the PICOS (Population, Interventions, Comparison, Outcome, Study Design) framework was employed to align the research question with corresponding search terms (Table 2). This review focused on the quantitative evaluation of person-directed psychoeducational interventions aimed at reducing burnout among nurses. Therefore, as a minimum requirement for inclusion, eligible studies must report the intervention outcome with validated evaluation tools using at least two time points. However, no restrictions were set for the practice setting of the nurses, be it hospital, community, or private practice. In terms of outcome, studies that did not directly report burnout among nurses, such as those focusing on depression, anxiety, or substance use were excluded. In addition, studies that evaluated organizational-directed burnout interventions such as changes to organizational policies or work procedures were not included. Only quantitative studies that involved case and control groups (randomized controlled trials, non-randomized experimental studies, and cohort studies) were included.
Table 2. Eligibility criteria based on the PICOS framework.
| PICOS framework | Description |
|---|---|
| Population | Nurses working in healthcare settings across any country |
| Intervention |
|
| Comparison |
|
| Outcomes |
|
| Study design |
|
Data extraction
A data extraction sheet was developed using Google Sheets to extract data from the included studies. Criteria for data extraction were based on the inclusion and exclusion criteria. The primary outcome measure was burnout as measured by validated tools, either through researchers’ assessment or participants’ self-reporting. Summary data for each study included authorship, study design, participants, healthcare setting, intervention name, comparison group, measurement tools and overall outcomes, intervention details (name, type, activities, duration, mode of delivery, implementers, comparison group, follow-up), as well as burnout intervention outcomes were retrieved and synthesized descriptively.
Quality assessment
All included articles were processed for the quality of analysis relevant to the research methodology. The Joanna Briggs Institute (JBI) critical appraisal tools were used to evaluate quantitative and quality evidence. The JBI critical appraisal tools are widely acknowledged as a reliable tool to investigate the study quality of various study designs such as RCT, systematic review, and observational studies.
Data synthesis
During the data synthesis phase, all included studies were comprehensively examined, with study characteristics, quality, and intervention effects on nurse burnout tabulated in Google Sheets. A narrative synthesis approach was used to thematically organize and summarize all extracted information, identifying effective psychoeducational interventions for managing nurse burnout. Subgroup analyses were done to assess the differential effectiveness of interventions, categorizing them based on intervention types, such as online programs, in-person workshops, or blended learning formats to determine how delivery mode impacts effectiveness.
Results
Study inclusion
Fig 1 displays the results of the systematic review article selection process based on PRISMA guidelines. As the initial search strategy was purposefully broad and sensitive, the overall database search generated 14,092 records, with another six records identified from a secondary reference search. After title and abstract screening, 89 full-text articles were subjected to the inclusion and exclusion criteria. Following that, 64 articles were excluded for various reasons and only 27 studies met the criteria for final inclusion.
Fig 1. PRISMA flow diagram.
Quality of the included studies
Table 3 outlines the detailed quality assessment results of all included articles using the JBI critical appraisal tool. We classified questions Q5 (“Were those delivering the treatment blind to treatment assignment?”), Q7 (“Were outcome assessors blind to treatment assignment?”) and Q9 (“Were outcomes measured in a reliable way?”) for randomized studies and question Q8 (“Were outcomes measured in a reliable way?”) for non-randomized studies as not applicable (NA) due to inherent methodological considerations specific to this type of research. The nature of psychoeducational interventions, which include interactive educational activities, makes it challenging to blind outcome assessors to treatment assignments. These activities are difficult to conceal from participants and facilitators, and primary outcomes are often measured using self-reported instruments, making participant blinding impractical. Additionally, the reliability of outcome measurements is upheld using standardized, validated tools like the Maslach Burnout Inventory (MBI) across the included studies, which have undergone rigorous psychometric validation, ensuring their reliability in accurately measuring burnout and its dimensions. Thus, the ‘NA’ classification for these questions acknowledges the specialized context of psychoeducational research and the established reliability of the measurement instruments used rather than indicating any oversight or disregard for the importance of these methodological aspects. Given their standardization and the robust methodological framework, they provide for evaluating subjective and self-reported outcomes specific to burnout, these tools inherently satisfy the reliability criterion. This approach also underscores our systematic review’s methodological rigor by aligning the measurement instruments’ proven reliability with the specific requirements for assessing psychoeducational interventions’ effectiveness in addressing nurse burnout.
Table 3. Quality appraisal using Joanna Briggs Institute critical appraisal tools.
| JBI critical appraisal checklist for assessment of risk of bias for randomised controlled trials (n=13) | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Author(s), Year |
Q1 | Q2 | Q3 | Q4 | Q5 | Q6 | Q7 | Q8 | Q9 | Q10 | Q11 | Q12 | Q13 | Total |
| Özbaş & Tel (2015) [28] | Ya | Nb | Ya | Nb | NAd | Nb | NAd | Ya | NAd | Ya | Ya | Ya | Ya | 7/13 |
| Wei et al. (2017) [29] | Ya | Ya | Uc | Uc | NAd | Ya | NAd | Ya | NAd | Ya | Ya | Ya | Ya | 8/13 |
| Grabbe et al. (2019) [30] | Uc | Uc | Ya | Nb | NAd | Ya | NAd | Ya | NAd | Ya | Ya | Ya | Ya | 7/13 |
| Xie et al. (2020) [31] | Ya | Ya | Ya | Uc | NAd | Ya | NAd | Ya | NAd | Uc | Ya | Ya | Uc | 7/13 |
| Huang et al. (2020) [32] | Ya | Ya | Ya | Nb | NAd | Ya | NAd | Ya | NAd | Ya | Ya | Ya | Ya | 9/13 |
| Çelik & Kılınç (2022) [33] | Ya | Uc | Ya | Nb | NAd | Ya | NAd | Ya | NAd | Ya | Ya | Ya | Ya | 8/13 |
| Dahlgren et al. (2022) [34] | Ya | Ya | Ya | Nb | NAd | Ya | NAd | Ya | NAd | Ya | Ya | Ya | Ya | 9/13 |
| Fong et al. (2022) [35] | Ya | Ya | Ya | Ya | NAd | Ya | NAd | Ya | NAd | Uc | Ya | Ya | Ya | 9/13 |
| Pérez et al. (2022) [36] | Uc | Uc | Ya | Nb | NAd | Ya | NAd | Ya | NAd | Ya | Ya | Ya | Ya | 7/13 |
| Laker et al. (2023) [37] | Uc | Ya | Uc | Ya | NAd | Ya | NAd | Ya | NAd | Ya | Ya | Ya | Ya | 8/13 |
| Lu et al. (2023) [38] | Ya | Ya | Ya | Uc | NAd | Ya | NAd | Ya | NAd | Nb | Ya | Ya | Ya | 8/13 |
| Sawyer et al. (2023) [39] | Ya | Ya | Ya | Ya | NAd | Ya | NAd | Ya | NAd | Uc | Uc | Ya | Ya | 8/13 |
| Sawyer, Tao & Bailey (2023) [40] | Ya | Ya | Ya | Nb | NAd | Ya | NAd | Ya | NAd | Nb | Ya | Ya | Ya | 8/13 |
| JBI critical appraisal checklist for quasi-experimental studies (non-randomised experimental studies) (n=14) | ||||||||||||||
| Author(s), Year | Q1 | Q2 | Q3 | Q4 | Q5 | Q6 | Q7 | Q8 | Q9 | Total | ||||
| Duarte & Pinto-Gouveia (2016) [41] | Ya | Ya | Nb | Ya | Ya | Nb | Ya | NAd | Ya | 6/9 | ||||
| Duarte & Pinto-Gouveia (2017) [42] | Ya | Ya | Nb | Ya | Ya | Ya | Ya | NAd | Ya | 7/9 | ||||
| Slatyer et al. (2017) [43] | Ya | Nb | Nb | Ya | Ya | Ya | Ya | NAd | Ya | 6/9 | ||||
| Alenezi, McAndrew & Fallon (2019) [44] | Ya | Ya | Nb | Ya | Ya | Ya | Ya | NAd | Ya | 7/9 | ||||
| Bagheri et al. (2019) [45] | Ya | Uc | Nb | Ya | Ya | Ya | Ya | NAd | Ya | 6/9 | ||||
| Kharatzadeh et al. (2019) [46] | Ya | Ya | Nb | Ya | Ya | Nb | Ya | NAd | Ya | 6/9 | ||||
| Luo et al. (2019) [47] | Ya | Ya | Nb | Ya | Ya | Ya | Ya | NAd | Ya | 7/9 | ||||
| Franco & Christie (2021) [48] | Ya | Ya | Nb | Ya | Ya | Ya | Ya | NAd | Ya | 7/9 | ||||
| Fu, Kao & Wang (2021) [49] | Ya | Ya | Nb | Ya | Ya | Ya | Ya | NAd | Ya | 7/9 | ||||
| Hsieh et al. (2022) [50] | Ya | Nb | Nb | Ya | Ya | Ya | Ya | NAd | Ya | 6/9 | ||||
| Luo et al. (2023) [51] | Uc | Nb | Nb | Ya | Ya | Nb | Ya | NAd | Ya | 4/9 | ||||
| Othman, Hassan & Mohamed (2023) [52] | Ya | Ya | Nb | Ya | Ya | Ya | Ya | NAd | Ya | 7/9 | ||||
| Safaeian et al. (2023) [53] | Ya | Ya | Nb | Ya | Ya | Nb | Ya | NAd | Ya | 6/9 | ||||
| Safavi, Kamrani & Asgharipour (2023) [54] | Ya | Ya | Ya | Ya | Ya | Nb | Ya | NAd | Ya | 7/9 | ||||
Ya = yes.
Nb = no.
Uc = unclear.
NAd = not applicable.
Characteristics of included studies
Table 4 outlines the characteristics of the 27 studies in this review. Most were published in the second half of the search period. There were eight studies from 2023, five from 2019 and 2022 each, and two from 2020 and 2021, respectively. Geographically, there are six studies from China [28–33], followed by the United States of America (USA) [34–37] and Iran [38–41] with four studies each, as well as two from Portugal [42,43], Taiwan [44,45], and Turkey [46,47] respectively. The remaining countries, including Australia [48], Egypt [49], Hong Kong [50], Saudi Arabia [51], Spain [52], Sweden [53], and the United Kingdom (UK) [54], contributed one study each. Most of the studies (n=25) implemented burnout intervention programs in the hospital setting while the remaining two were held in specialized healthcare facilities, i.e., an elderly dementia institute and a mental health facility. Of the 27 studies, 13 applied a randomized controlled trial (RCT) design, while 14 were quasi-experimental. The sample size of study participants ranged from 46 to 296. In addition, the attrition rate of the participants ranged from 0% [28,49,52] to as high as 60.7% [34]. A total of 12 studies reported an attrition rate of <20%. However, four studies did not report the attrition rate [33,38,40,41].
Table 4. Characteristics of included studies (n=27).
| Author(s), Year, Country |
Design, Participants, Attrition Rate, Healthcare Setting |
Intervention Name, Intervention Group (Ia), Control Group (Cb) |
Measurement Tool | Main Outcome(s) |
|---|---|---|---|---|
| Özbaş and Tel [28], 2015, Turkey |
|
Ia - Psychodrama-based psychological empowerment programme Cb - No intervention |
Psychological Empowerment Scale (PES) | Significantly higher psychological empowerment score at one- and three-months post intervention |
| Nurse Work Empowerment Scale (NWES) | Significantly higher workplace empowerment score at three months post intervention | |||
| Maslach Burnout Inventory (MBI) | Lower levels of emotional exhaustion (EE) and depersonalisation (DP) and higher level of personal accomplishment (PA) at one- and three-months post intervention | |||
| Duarte and Pinto-Gouveia [41], 2016, Portugal |
|
Ia - Mindfulness-based group intervention Cb - Waitlist |
Professional Quality of Life Scale-version 5 (ProQOL-5) | Significant decrease of compassion fatigue (CF) and burnout (BO) at post-test and three months |
| Depression, Anxiety, Stress Scale (DASS-21) |
Significant decrease in stress at post-test | |||
| Acceptance and Action Questionnaire – II (AAQ-II) | Significant decrease in experiential avoidance at post-test | |||
| Ruminative Responses Scale-Short (RRS) | No changes | |||
| Five Facets of Mindfulness Questionnaire (FFMQ) | Significant increase in mindfulness post-test | |||
| Self-Compassion Scale (SCS) | Significant increase in self-compassion post-test | |||
| Duarte and Pinto-Gouveia [(42)], 2017, Portugal |
|
Ia - Mindfulness-based interventions (MBIs) Cb - Waitlist |
ProQOL-5 | Self-compassion significantly mediated the effects of the intervention on burnout, depression, anxiety, and stress symptoms |
| DASS-21 | ||||
| SCS | ||||
| AAQ-II | Psychological inflexibility significantly mediated the effects of the intervention of burnout, compassion fatigue, depression, and stress symptoms | |||
| FFMQ | increased traits of mindfulness which mediated the effects of intervention on burnout, anxiety, stress, and satisfaction with life | |||
| Satisfaction with Life Scale (SWL) | ||||
| Slatyer et al. [43], 2017, Australia |
|
Ia - Mindful self-care and resiliency intervention (MSCR) Cb - Waitlist |
ProQOL-5 Burnout subscale (BO) | Significant BO reduction between pre-intervention and six-month post intervention |
| ProQol-5 Compassion Satisfaction subscale (CS) | Significant CS improvement post-test | |||
| ProQol-5 Secondary Traumatic Stress subscale (STS) | Significantly lower STS at 6- month post intervention | |||
| DASS-21 | Statistically significant reductions in depression symptoms but no difference in stress and anxiety | |||
| Connor-Davidson Resilience Scale-10 (CD-RISC10) |
No significant improvement in resilience | |||
| Generalised Self-Efficacy Scale (GSES) | No significant improvement in self-efficacy | |||
| Self-Compassion Scale - Short Form (SCS-SF) | Significant increase in self-compassion post-test and six-month follow-up in intervention group | |||
| WHO-5 Well-being Index (WHO-5) | Subjective quality of life scores significantly improved between pre and post and pre and follow-up in intervention group | |||
| Wei et al. [29], 2017, China |
|
Ia - Active intervention Cb - Regular management (focus group discussion (FGD) and luncheon parties) |
Maslach Burnout Inventory - General Survey (MBI-GS) | EE and DP significantly decreased post-intervention |
| Alenezi, McAndrew and Fallon [44], 2019, Saudi Arabia |
|
Ia - Burnout prevention programme Cb - No intervention |
MBI |
|
| Bagheri et al. [45], 2019, Tehran |
|
Ia - Stress-coping strategies and group cognitive-behavioural therapy (CBT) Cb - No intervention |
MBI |
|
| Grabbe et al. [30], 2019, USA |
|
Ia -Community resiliency model (CRM) Cb - Nutrition/healthy eating class |
WHO-5 Well-being Index (WHO-5) | Significant improvement in well-being post intervention up to one year |
| CD-RISC | Significant improvement in resilience post intervention up to one year | |||
| Secondary Traumatic Stress Scale (STSS) | Reduced in STS up to one year | |||
| Copenhagen Burnout Inventory (CBI) | No significant burnout improvement over time | |||
| Somatic Symptom Scale-8 (SSS-8) |
Significantly reduced in somatic symptom up to one year | |||
| Kharatzadeh et al. [46], 2019, Iran |
|
Ia - Emotional regulation training (ERT) Cb - Waitlist |
ProQOL-5 |
|
| Cognitive Emotion Regulation Questionnaire (CERQ) |
|
|||
| DASS-21 | Significant reduction in depression, anxiety, and stress in the treatment group | |||
| Luo et al. [47], 2019, China |
|
Ia - Positive psychological interventions (PPIs) Cb - No Intervention |
MBI-GS |
|
| Huang et al. [32], 2020, China |
|
Ia - Balint group training Cb - No Intervention |
MBI |
|
| Quality of Nursing Work Life Scale (QNWLS) |
|
|||
| Xie et al. [31], 2020, China |
|
Ia - Mindfulness-based intervention on burnout group (MBIB) Cb - Education related to burnout group (EB) |
MBI |
|
| Mindful Attention Awareness Scale (MAAS) |
|
|||
| AAQ-II |
|
|||
| Franco and Christie [48], 2021, USA |
|
Ia - Self-compassion for healthcare communities (SCHC) Cb - No intervention |
SCS | Significant increase SC from pre- to post-intervention and maintained at three-month follow-up |
| Cognitive and Affective Mindfulness Scale (CAMS) | Significant increase in CAMS in the intervention group from pre- to post-intervention and maintained at three-month follow-up | |||
| Compassion Scale (CFO) | Significant increase in CFO from pre- to post-intervention and maintained at three-month follow-up | |||
| Professional Quality of Life (ProQOL) |
|
|||
| DASS-21 |
|
|||
| Resiliency activation and decompression and job engagement |
|
|||
| Fu, Kao and Wang [49], 2021, Taiwan |
|
Ia - 3R educational program intervention Cb - No Intervention |
SF-12v2 Physical and Mental Health Summary Scale | Significant higher physical health (post-intervention) and mental health (post-intervention, one-month follow-up) |
| ProQOL-5 | Significant increase in CS (post-intervention, one- and three-months follow-up), lower BO (post-intervention, one-month follow-up), and lower STS (one- and three-months follow-up) | |||
| Çelik and Kılınç [33], 2022, Turkey |
|
Ia - Laughter yoga Cb - No Intervention |
PSS | Significant decrease in perceived stress levels post-intervention in the intervention group |
| MBI | Significant decreased in EE, DP and overall burnout with increased in PA post-intervention in the intervention group | |||
| Life Satisfaction Scale | Significant increase in life satisfaction levels post-intervention in the intervention group | |||
| Dahlgren et al. [34], 2022, Sweden |
|
Ia - Proactive recovery programme Cb - Waitlist |
Insomnia Severity Index (ISI) | No significant changes over time between the groups for insomnia symptoms, sleep quality, perceived stress, tension, listlessness, or beliefs and attitudes |
| Karolinska Sleep Questionnaire (KSQ) | ||||
| Dysfunctional Beliefs and Attitudes about Sleep Scale (DBAS-10) | ||||
| PSS | ||||
| Shirom-Melamed Burn-out Questionnaire (SMBQ) | Less burnout and fatigue symptoms post-intervention but not sustained at follow-ups | |||
| Work Interference with Personal Life index (WIPL) from the Work Home Interference Scale | Work-induced fatigue decreased significantly post- test but not at follow-up | |||
| Somatic Symptom Scale-8 (SSS8) | Somatic symptoms remained stable in the intervention group but increased in the control group, with significant differences between groups at post-test and follow-up | |||
| Fong et al. [35], 2022, Hong Kong |
|
Ia - Brief mindful colouring Cb - Waitlist |
Perceived Stress Scale-10 items (PSS-10) | Intervention group effectively reduced perceived stress levels |
| Short Warwick-Edinburgh Mental Well-being Scale (SWEMWBS) | No significant changes in mental well-being, burnout subscales, and trait mindfulness levels whether by per protocol analysis or intention-to-treat | |||
| Maslach Burnout Inventory - Human Services Survey for Medical Professionals (MBI-HSS(MP)) | ||||
| Five Facets of Mindfulness Questionnaire: Short Form (FFMQ-SF) | ||||
| Hsieh et al. [50], 2022, Taiwan |
|
Ia - Gong meditation Cb - No Intervention |
Occupational Burnout Inventory (OBI) |
|
| PSS |
|
|||
| Pérez et al. [36], 2022, Spain |
|
Ia - Mindfulness training programme Cb - Waitlist |
Spanish adaptation of ProQOL-5 |
|
| Laker et al. [37], 2023, UK |
|
Ia - Mind Management Skills for Life Programme Cb - Waitlist |
Oldenburg Burnout Inventory (OLBI) | Significant improvement in burnout immediately after the intervention |
| Warwick-Edinburgh Mental Well-being Scale (WEMWBS) | Significant improvement in well-being immediately after the intervention | |||
| Lu et al. [38], 2023, China |
|
Ia - Mindfulness-based program Cb - Health promotion strategies and inspirational quotes through WeChat |
Maslach Burnout Inventory - Human Services Survey (MBI-HSS) |
|
| Chinese-version of FFMQ | Significant improvement in mindfulness post-intervention, sustained at two-month | |||
| Center for Epidemiological Studies Depression Scale (CESD) | Significantly decreased depression scores post-intervention, sustained for two months | |||
| Zung Self-rating Anxiety Scale (SAS) | Significantly decreased anxiety scores post-intervention, sustained for two months | |||
| Positive Affect and Negative Affect Schedule (PANAS) | Significantly improved subjective well-being scores post-intervention and maintained results for two months | |||
| Satisfaction with Life Scale (SLS) | ||||
| Luo et al. [51], 2023, China |
|
Ia - Mindfulness decompression therapy programme Cb - Routine psychological nursing intervention |
Symptom Checklist-90 (SCL-90) |
|
| MBI-GS |
|
|||
| Othman, Hassan and Mohamed [52], 2023, Egypt |
|
Ia - MBIs Cb - No intervention |
MBI-HSS (MP) | Significant improvements in all burnout domains |
| FFMQ | Significant increase in overall mindfulness scores and improvements in four out of five mindfulness subscales (observing, describing, acting with awareness, and non-judging of inner experience) | |||
| SCS | Significant increase in total self-compassion scores and improvements in five out of six self-compassion subscales (self-kindness, self-judgement, common humanity, isolation, and over-identification) | |||
| Safaeian et al. [53], 2023, Iran |
|
I1c - Mindfulness training I2d - Schema therapy Cb - Waitlist |
Cognitive Fusion Questionnaire (CFQ) | Significant reduction in cognitive fusion scores for both interventions but schema therapy showed more pronounced effects than mindfulness training |
| MBI | Both interventions significantly reduced burnout but mindfulness training showed a greater impact on reducing job burnout levels than schema therapy |
|||
| Safavi, Kamrani and Asgharipour [54], 2023, Iran |
|
Ia -Resilience training programs (RTPs) Cb - Virtual support session |
CD-RISC | Significantly increased resilience scores post-intervention |
| Maslach Burnout Questionnaire (MBQ) |
|
|||
| Sawyer et al. [39], 2023, USA |
|
Ia - Resilience, insight, self-compassion and empowerment (RISE) Cb - Waitlist group |
Brief Resilience Scale (BRS) | Significantly higher resilience scores at one-month and maintained at six-month |
| Self-Reflection and Insight Scale (SRIS) |
|
|||
| SCS-SF | Sustained improvements in self-compassion at one, three, and six months | |||
| Psychological Empowerment Instrument (PEI) | No significant changes | |||
| Stress Mindset Measure–General (SMM-G) | More positive stress mindset at one-month | |||
| PSS | Significantly reduced perceived stress at one-month | |||
| MBI |
|
|||
| Sawyer, Tao and Bailey [40], 2023, USA |
|
Ia - RISE Cb - Waitlist group |
Posttraumatic Growth Inventory (PTGI) |
|
| ProQOL |
|
|||
| BRS | No significant changes | |||
| SRIS | Significant increase in self-reflection and insight scores post-test and at one and three months | |||
| SCS-SF | Self-compassion scores improved significantly at one, three, and six months | |||
| PEI | Significant increase in overall psychological empowerment and its subdomains (meaning, competence, self-determination) post-test, one and three months | |||
| GSES | No significant changes | |||
| PSS | Significant decrease perceived stress at one month follow-up | |||
| Brief Index of Affective Job Satisfaction (BIAJS) | No significant changes |
Ia = intervention group.
Cb = comparison group.
I1c = intervention group one.
I2d = intervention group two.
In most studies, control groups involved a waitlist group (n=11) rather than an active control group (n=6). Furthermore, ten studies did not provide any intervention to the control group. Regarding the outcome measurement tools, the most frequently utilized instrument was Maslach’s Burnout Inventory (MBI) (n=15), followed by the Professional Quality of Life Scale version 5 (ProQOL-5) (n=8) and the Self-Compassion Scale (SCS) (n=6). The Five Facets of Mindfulness Questionnaire (FFMQ), Depression, Anxiety, Stress Scale (DASS-21), and Perceived Stress Scale (PSS) were also used in five studies each. In terms of outcomes, 15 articles concentrated on measuring burnout as the primary outcome [28–32,38–42,45,46,49–51]. About half (n=12) combined burnout with other outcomes such as perceived stress [35,36,47], compassion satisfaction [35,44], and mindfulness [35,50].
Characteristics of burnout interventions
Table 5 describes the overview of burnout interventions in the 27 studies included in this review. The most applied intervention, whether as a single intervention or mixed with other strategies, was mindfulness-based interventions (MBIs) (n=16), followed by cognitive-behavioral therapy (CBT) (n=6). With regards to the mode of delivery, 14 out of 27 studies utilized physical group sessions solely. In contrast, seven studies relied only on a digital approach using materials such as compact discs (CDs), video, and online conferences. The remaining six studies applied a blended physical and digital delivery format. The duration of the interventions varied widely from one day to six months. Many of the studies practiced waitlist control groups (n=11) that received similar interventions later. Only six studies had an active control group that received similar treatment to the intervention group. The remaining 10 studies provided no intervention to the control groups. The outcome variable of interest, i.e., burnout, was measured at baseline (n=27), immediate post-intervention (n=24), and during one-month (n=8), two-month (n=2), three-month (n=11), six-month (n=7), and 12-month (n=1) follow-ups. A total of 10 studies measured burnout only at baseline and immediately post-intervention.
Table 5. Overview of burnout interventions.
| Author(s), Year | Intervention Name, Type |
Activities | Duration, Mode of delivery, Implementer, Comparison group |
Follow-up Time Points |
|---|---|---|---|---|
| Özbaş and Tel, 2015 [28] |
Psychodrama-based psychological empowerment programme
|
|
|
Pre, post, follow-up (1 month, 3 months) |
| Duarte and Pinto-Gouveia, 2016 [41] |
Mindfulness-based group intervention
|
|
|
Pre, post, follow-up (3 months) |
| Duarte and Pinto-Gouveia, 2017 [42] |
Mindfulness-based intervention
|
|
|
Pre, post |
| Slatyer et al., 2017 [43] |
MSCR
|
|
|
Pre, post, follow-up (6 months) |
| Wei et al., 2017 [29] |
Active intervention
|
|
|
Pre, post |
| Alenezi, McAndrew and Fallon, 2019 [44] |
Burnout prevention programme
|
|
|
Pre, follow-up (1 month, 3 months, 6 months) |
|
|
|||
|
|
|||
| Bagheri et al., 2019 [45] |
Stress-coping strategies and group CBT
|
|
|
Pre, post, follow-up (1 month) |
| Grabbe et al., 2019 [30] |
CRM
|
|
|
Pre, follow-up (1 week, 3 months, 1 year) |
| Kharatzadeh et al., 2019 [46] |
ERT
|
|
|
Pre, post |
| Luo et al., 2019 [47] |
PPIs
|
|
|
Pre, post |
| Huang et al., 2020 [32] |
Balint group training
|
|
|
Pre, mid, post |
| Xie et al., 2020 [31] |
MBIB
|
|
|
Pre, post, follow-up (1 month, 3 months) |
| Franco and Christie, 2021 [48] |
SCHC
|
|
|
Pre, post, follow-up (3 months) |
|
|
|||
|
|
|||
| Fu, Kao and Wang, 2021 [49] |
3R educational program intervention
|
|
|
Pre, post, follow-up (4 weeks, 12 weeks) |
|
|
|||
|
|
|||
| Çelik and Kılınç, 2022 [33] |
Laughter yoga
|
|
|
Pre, post |
| Dahlgren et al., 2022 [34] |
Proactive recovery programme
|
|
|
Pre, post, follow-up (6 months) |
|
|
|||
| Fong et al., 2022 [35] |
Brief mindful colouring
|
|
|
Pre, post |
| Hsieh et al., 2022 [50] |
Gong meditation
|
|
|
Pre, post |
| Pérez et al., 2022 [36] |
Mindfulness training programme
|
|
|
Pre, post, follow-up (3 months) |
| Laker et al., 2023 [37] |
Mind Management Skills for Life Programme
|
|
|
Pre, post1, post2, follow-up (6 months) |
| Lu et al., 2023 [38] |
Mindfulness-based program
|
|
|
Pre, post, follow-up (2 months, 6 months) |
| Luo et al., 2023 [51] |
Mindfulness decompression therapy programme
|
|
|
Pre, post, follow-up (8 weeks) |
| Othman, Hassan and Mohamed, 2023 [52] |
MBIs
|
|
|
Pre, post |
| Safaeian et al., 2023 [53] |
Mindfulness training and schema therapy
|
|
|
Pre, post, follow-up (2 months) |
|
|
|||
| Safavi, Kamrani and Asgharipour, 2023 [54] |
RTPs
|
|
|
Pre, post |
| Sawyer et al., 2023 [39] |
RISE
|
|
|
Pre, follow-up (1 month, 3 months, 6 months) |
| Sawyer, Tao and Bailey, 2023 [40] |
RISE
|
|
|
Pre, post, follow-up (1 month, 3 months, 6 months) |
The most prevalent type of intervention among the articles was single interventions (n=19) that involved various activities. The most implemented single intervention was MBIs, which included activities such as mindful breathing exercises, meditation, and self-care practices. Regarding mixed interventions, the most combined approaches were MBIs with CBT (n=3). Activities such as cognitive and emotional awareness, breath and sensory awareness, mindful exercise (movement, listening, meditation), empowerment, and resilience building were included in the mixed interventions. Commonly, those carrying out the interventions were mindfulness-trained researchers, certified clinical psychologists, and licensed mental health counselors.
Outcomes of burnout interventions
Next, Table 6 provides a summary of the effects of burnout intervention. Out of 27 studies, 24 reported successful reductions in nurse burnout. Notably, nine studies demonstrated a highly significant effect (p<0.001) in reducing burnout at various stages. Out of these nine studies, six utilized single-focused interventions such as MBIs [31,33,47,49], psychodrama-based psychological empowerment [46], and sound therapy [45]. The remaining three studies [41,44,51] incorporated a comprehensive intervention approach consisting of mixed interventions such as cognitive-behavioral therapy (CBT), self-care strategies, and communication and social skill training. Successful burnout interventions consistently resulted in significant reductions in EE and DP scores, alongside an increase in PA scores. While most studies focused on the three main domains of burnout (EE, DP, PA), some also explored other outcomes related to secondary traumatic stress (STS) and compassion satisfaction (CS) [35,44,48]. On the other hand, three studies did not document significant decreases in any burnout dimensions following the intervention, either among the intervention groups individually or when compared to control groups [34,50,53].
Table 6. Summary of intervention and outcome on burnout.
| Author(s), Year | Type of Intervention | Measurement tool for burnout | Outcome on burnout |
|---|---|---|---|
| Özbaş & Tel, 2015 [28] | • Psychodrama-based psychological empowerment | MBI (EE, DP, PA) |
Between the intervention and control groups: 1-month follow-up: • EE = ↓₀ • DP = ↓c • PA = ↑c 3-month follow-up: • EE = ↓c • DP = ↓c • PA = ↑c Within intervention group: • EE = ↓c • DP = ↓c • PA = ↑c |
| Duarte & Pinto-Gouveia, 2016 [41] | • MBIs | ProQOL-5 (BO, CS, STS) |
Time: • BO = ↓b • CS = ↑ • STS = ↓b Time x Group: • BO = ↓ • CS = ↑ • STS = ↓a |
| Duarte & Pinto-Gouveia, 2017 [42] | • MBIs | ProQOL-5 (BO) |
Not reported p-value. Between intervention and control groups: Post: • BO = ↓ (95% CI [−1.33 to −.12]) |
| Slatyer et al., 2017 [43] | • MBIs | ProQOL-5 (BO, CS, STS) |
Group: • BO, STS = ↓ • CS = ↑ Time: • BO = ↓ • CS = ↑ • STS = ↓c Time x Group: • BO =↓b • CS = ↑ • STS = ↓ Within intervention group: Post: • BO = ↓c • CS = ↑a • STS = ↓ 6-month follow-up: • BO = ↓b • CS = ↑ • STS = ↓b |
| Wei et al., 2017 [29] | • Emotional regulation | MBI-GS (EE, DP, PA) |
Between intervention and control groups: Post: • EE = ↓a • DP = ↓a • PA = ↑ |
| Alenezi, McAndrew & Fallon, 2019 [44] | • CBT • Self-care strategies • Communication and social skill training |
MBI (EE, DP, PA) |
Between the intervention and control groups: 1-month follow-up: • EE = ↓c • DP = ↓c • PA = ↓c 3-month follow-up: • EE = ↓c • DP = ↓c • PA = ↓c 6-month post follow-up: • EE = ↓c • DP = ↓c • PA = ↓c |
| Bagheri et al., 2019 [45] | • CBT | MBI (EE, DP, PA) |
Between intervention and control groups: Post: • Total burnout = ↓b • EE = ↓ • DP = ↓b • PA = ↓a 1-month follow-up: • Total burnout = ↓b • EE = ↓ • DP = ↓b • PA = ↓a |
| Grabbe et al., 2019 [30] | • Sensory awareness techniques | CBI (Work-related burnout (WRB)) |
Time: • WRB = ↓ Intervention: • WRB = ↓ Time x Intervention: • WRB = ↓ |
| Kharatzadeh et al., 2019 [46] | • Emotional regulation | ProQOL-5 (BO, CS, STS) |
Between group: Post: • BO =↓a • CS = ↑a • CF = ↓ |
| Luo et al., 2019 [47] | • Gratitude exercise | MBI-GS (EE, Cynicism, Professional Efficacy (PE)) |
Within intervention group: Post: • EE = ↓a • Cynicism = ↑ • PE = ↓ |
| Huang et al., 2020 [32] | • Balint group training | MBI (EE, DP, PA) |
Time: • EE = ↓b • DP = ↓b • PA = ↑a Group: • EE = ↓b • DP = ↓b • PA = ↑ Time x Group: • EE = ↓b • DP = ↓b • PA = ↑ |
| Xie et al., 2020 [31] | • MBIs | MBI (EE, DP, PA) |
Within intervention group: 1-week post: • EE = ↓c • DP = ↓c • PA = ↑b 1-month follow-up: • EE = ↓b • DP = ↓c • PA = ↑c 3-month follow-up: • EE = ↓b • DP = ↓c • PA = ↑c Between intervention and control groups: 1-week post: • EE = ↓c • DP = ↓c • PA = ↑ 1-month follow-up: • EE = ↓c • DP = ↓c • PA = ↑c 3-month follow-up: • EE = ↓c • DP = ↓c • PA = ↑c |
| Franco & Christie, 2021 [48] | • Self-compassion • Mindfulness • Resilience |
ProQOL (BO, CS, STS) |
Between the intervention and control groups: Time: • BO = ↓b • CS = ↑a • STS = ↓ Within intervention group: Time: • BO = ↓c • CS = ↑a • STS = ↓ |
| Fu, Kao & Wang, 2021 [49] | • Resilience • Mindfulness • Support |
ProQOL-5 (BO, CS, STS) |
Between the intervention and control groups: Post: • BO = ↓c • CS = ↑c • STS = ↓ 1-month follow-up: • BO = ↓a • CS = ↑c • STS = ↓a 3-months follow-up: • BOt = ↓ • CS = ↑c • STS = ↓a Within intervention group: Post: • BO = ↓c • CS = ↑ • STS =↓c 1-month follow-up: • BO = ↓c • CS = ↑ • STS = ↓c 3-months follow-up: • BO = ↓c • CS = ↓ • STS = ↓c |
| Çelik & Kılınç, 2022 [33] | • Mindfulness | MBI (EE, DP, PA) |
Between the intervention and control groups: Post: • EE = ↓c • DP = ↓c • PA = ↑c Within intervention group: Post: • EE = ↓c • DP = ↓c • PA = ↑c |
| Dahlgren et al., 2022 [34] | • CBT • Motivational interviewing techniques |
SMBQ | Time: • Global score = ↓ • Fatigue = ↓ • Cognitive weariness = ↓ Group: • Global score = ↑ • Fatigue = ↑ • Cognitive weariness = ↑ Time x Group: • Global score = ↓a • Fatigue = ↓a • Cognitive weariness = ↓a |
| Fong et al., 2022 [35] | • MBIs | MBI-HSS (MP) (EE, DP,PA) |
Between intervention and control groups (intention to treat analysis): Post: • EE = ↓ • DP = ↑ • PA = ↑ Between intervention and control groups (per protocol analysis): Post: • EE = ↓ • DP = ↑ • PA = ↑ |
| Hsieh et al., 2022 [50] | • Sound therapy | OBI (Personal Burnout (PB), WRB, Client Related Burnout (CRB), Over-Commitment to Work (OCW)) |
Within intervention group Post: • PB = ↓c • WRB = ↓a • CRB = ↓c • OCW = ↑ Between intervention and control groups Post: • PB = ↓c • WRB = ↓c • CRB = ↓a • OCW = ↓a |
| Pérez et al., 2022 [36] | • MBIs | ProQOL-4 (BO, CS, CF) |
Between intervention and control groups Post: • BO = ↓a • CS = ↓ • CF = ↓a 3-month follow-up: • BO = ↓a • CS = ↓ • CF = ↓b |
| Laker et al., 2023 [37] | • Mind management skills for life programme | OLBI |
Post intervention: (Time 2: After training group 1 intervention): • OLBI Total = ↓c • OLBI Disengagement = ↓c • OLBI Exhaustion = ↓c (Time 3: After training group 2 waitlist control): • OLBI Total = ↓ • OLBI Disengagement = ↓ • OLBI Exhaustion = ↓ (Time 4: 6-month follow-up): • OLBI Total = ↓ • OLBI Disengagement = ↓ • OLBI Exhaustion = ↓ |
| Lu et al., 2023 [38] | • MBIs | MBI-HSS (EE, DP, PA) |
Intervention: • EE = ↓c • DP = ↓ • PA = ↑ Time: • EE = ↓c • DP = ↓a • PA = ↑ Time x Intervention: • EE = ↓b • DP = ↓ • PA = ↑ Between intervention and control groups: Post: • EE = ↓c 2-months follow-up: • EE = ↑c 6-months follow-up: • EE = ↑a |
| Luo et al., 2023 [51] | • indfulness decompression therapy | MBI-GS (EE, Cynicism, PE) |
Between the intervention and control groups: Post: • Total burnout = ↓c • EE = ↓c • PE = ↑c • Cynicism = ↓c Within intervention group: Post: • Total burnout = ↓c • EE = ↓c • PE = ↑c • Cynicism = ↓c |
| Othman, Hassan & Mohamed, 2023 [52] | • MBIs | MBI-HSS (MP) (EE, DP, PA) |
Within intervention group: Post: • EE = ↓c • DP = ↓b • PA = ↑c Between intervention and control groups: Post: • EE = ↓c • DP = ↓c • PA = ↑c |
| Safaeian et al., 2023 [53] | • Mindfulness training • chema therapy |
MBI |
Time: • Total Burnout = ↓b Group: • Total Burnout = ↓b Time x Group • Total Burnout = ↓b |
| Safavi, Kamrani & Asgharipour, 2023 [54] | • ACT • CBT • Mindfulness-based cognitive therapy • MBSR |
MBI (EE, DP, PA) |
Between the intervention and control groups: Post: • Total Burnout = ↓c • EE = ↓b • DP = ↓ • PA = ↓c Within intervention group: Time: • Total Burnout = ↓c • EE = ↓c • DP = ↓b • PA = ↓c |
| Sawyer et al., 2023 [39] | • ACT • CBT • Mindfulness |
MBI (EE, DP, PA) |
Between the intervention and control groups: 1-month: • EE = ↓a • DP = ↓a • PA = ↑ 3-month: • EE = ↓a • DP = ↓ • PA = ↓ Within intervention group: 1-months follow-up: • EE = ↓ • DP = ↑ • PA = ↑ 3-months follow-up: • EE = ↓ • DP = ↓ • PA = ↓ 6-months follow-up: • EE = ↓ • DP = ↑ • PA = ↓ |
| Sawyer, Tao & Bailey, 2023 [40] | • ACT • CBT • Mindfulness |
ProQOL (BO, CS, STS) |
Within intervention group: Post: • BO = ↓a • CS = ↑b • STS = ↓ 1-month follow-up: • BO = ↓b • CS = ↑a • STS = ↓a 3- and 6- months follow-up: • BO, STS = ↓ • CS = ↑ Between intervention and control groups: Post, 1-month and 3-month follow-up: • BO, STS = ↓ • CS = ↑ |
ap<0.05.
bp<0.01.
cp<0.001.
Effectiveness of burnout interventions over time
In addition, Table 7 compares the efficacy of single and mixed intervention strategies across various follow-up periods for the 24 studies that reported significant burnout reduction. Most single intervention strategies (n=16) followed nurses for less than three months (n=10), with only six studies following up to six months and none extending to 12 months or more. The majority were delivered physically (n=8), followed by combined physical and digital (n=4) and digital alone (n=4). Most single interventions, like MBIs, CBT, and emotional regulation, demonstrated short-term effectiveness, i.e., significant reductions in burnout symptoms immediately post-intervention and up to two months in some cases. As a single intervention, MBIs proved most effective when delivered through combined physical and digital modes, with sustained burnout reduction for up to six months [48]. However, a study by Lu et al. (2023) [32] that utilized a similar intervention showed that significant burnout reduction could only be sustained immediately post-intervention, with no difference in burnout symptoms observed when followed up to six months. The differences in effectiveness could be attributed to the activities used in the mindfulness interventions. On the other hand, the same intervention maintained effectiveness for three months when separately split into physical [31] or digital [52] formats. These findings suggest that single interventions can sustain effects for up to three months on physical or digital platforms [31,46,52], but a combined delivery mode is more effective for extending outcomes to six months [48].
Table 7. Studies with significant burnout reduction at different follow up time points (n=24).
| Studies list according to intervention type and delivery mode | Burnout reduction at different follow-up time pointsa,b | ||||
|---|---|---|---|---|---|
| Post Intervention | 1 month | 2 months | 3 months | 6 months | |
| Single interventions | |||||
| Mindfulness-based interventions (n=8) | |||||
| Physical | |||||
| Xie et al., 2020 [31] | √ | √ | √ | ||
| Digital | |||||
| Pérez et al., 2022 [36] | √ | √ | |||
| Çelik & Kılınç, 2022 [33] | √ | ||||
| Othman, Hassan & Mohamed, 2023 [52] | √ | ||||
| Combined | |||||
| Duarte & Pinto-Gouveia, 2017 [42] | √ | ||||
| Slatyer et al., 2017 [43] | √ | √ | |||
| Lu et al., 2023 [38] | √ | x | x | ||
| Luo et al., 2023 [51] | √ | √ | |||
| Psychodrama-based Psychological Empowerment (n=1) | |||||
| Physical | |||||
| Özbaş & Tel, 2015 [28] | √ | √ | √ | ||
| Emotional regulation (n=2) | |||||
| Physical | |||||
| Wei et al., 2017 [29] | √ | ||||
| Kharatzadeh et al., 2019 [46] | √ | ||||
| CBT (n=1) | |||||
| Digital | |||||
| Bagheri et al., 2019 [45] | √ | √ | |||
| Gratitude exercise (n=1) | |||||
| Digital | |||||
| Luo et al., 2019 (EE only) [47] | √ | ||||
| Balint Group Training (n=1) | |||||
| Physical | |||||
| Huang et al., 2020 [32] | √ | ||||
| Sound Therapy (n=1) | |||||
| Physical | |||||
| Hsieh et al., 2022 [50] | √ | ||||
| Mind Management Skills for Life Programme (n=1) | |||||
| Physical | |||||
| Laker et al., 2023 [37] | √ | x | |||
| MIXED INTERVENTIONS | |||||
| CBT + Self-Care Strategies + Communication and Social Skill Training (n=1) | |||||
| Physical | |||||
| Alenezi, McAndrew & Fallon, 2019 [44] | √ | √ | √ | ||
| Self-compassion + Mindfulness + Resilience (n=1) | |||||
| Physical | |||||
| Franco & Christie, 2021 [48] | √ | √ | |||
| Resilience + Mindfulness + Support (n=1) | |||||
| Physical | |||||
| Fu, Kao & Wang, 2021 [49] | √ | √ | √ | ||
| CBT + Motivational Interviewing Techniques (n=1) | |||||
| Physical | |||||
| Dahlgren et al., 2022 [34] | √ | x | |||
| Mindfulness Training + Schema Therapy (n=1) | |||||
| Combined | |||||
| Safaeian et al., 2023 [53] | √ | √ | |||
| Acceptance and commitment therapy (ACT) + CBT + Mindfulness-based cognitive therapy + Mindfulness-based stress reduction (n=1) | |||||
| Digital | |||||
| Safavi, Kamrani & Asgharipour, 2023 [54] | √ | ||||
| ACT + CBT + Mindfulness (n=2) | |||||
| Physical | |||||
| Sawyer et al., 2023 [39] | √ | √ | x | ||
| Digital | |||||
| Sawyer, Tao & Bailey, 2023 [40] | √ | √ | x | x | |
a√ = Significant burnout reduction.
bX = No significant burnout reduction.
In studies using mixed intervention strategies (n=8), six followed participants for 3–6 months post-intervention, while two had shorter follow-ups (<3 months). None extended follow-up to 12 months or more. Most interventions were delivered physically (n=5), with some using a combination of physical and digital approaches (n=1) or digital delivery solely (n=2). The most common interventions used in combination with others were MBIs and CBT. Of the four studies that applied CBT in person and tracked nurses for up to six months, only one study, which combined CBT with self-care, communication, and social skills training, demonstrated significant burnout reduction over the entire six-month follow-up period [51]. In contrast, three other studies that integrated CBT with MBIs as well as motivational, acceptance, and commitment therapies showed significant burnout reductions, but only for up to three months [36,37,53]. These findings suggest the importance of incorporating self-care and interpersonal skill enhancement to effectively reduce nurse burnout. Meanwhile, combining MBIs with interventions like self-compassion and resilience also led to significant burnout reduction for up to three months [35,44], while combination with approaches such as schema therapy, CBT, empathy skills training, and stress management showed effectiveness for up to two months [40,41]. However, the lack of long-term follow-up in these studies leaves uncertainty about sustained efficacy over longer periods.
A comparison between single and mixed intervention strategies showed that as a single intervention, MBIs yielded mixed outcomes when delivered via a combined physical and digital platform; one study showed results that lasted up to six months [48], while another study’s effects ended immediately post-intervention [32]. However, as a mixed intervention, MBIs combined with supportive practices can sustain positive results up to three months post-intervention [35,44]. Similarly, CBT when applied as a single intervention via a physical platform, was effective only for up to one month [38]. However, when CBT was combined with self-care and interpersonal skills training via a similar mode of delivery, the results were sustained for up to six months [51], indicating that combining certain therapeutic approaches can enhance and prolong the effectiveness of burnout interventions, making them more effective than single-intervention approaches.
Discussion
Principal findings
This review aimed to explore existing person-directed psychoeducational burnout interventions for alleviating burnout symptoms among nurses and analyze evidence on the effectiveness of these interventions. Of the 14,092 abstracts screened, 27 studies fulfilled the predetermined inclusion criteria. Based on the studies reviewed, psychoeducational interventions were found to be effective as both preventive and reactive tools for combating nurse burnout. This notion was also supported by a previous study that showed psychoeducational interventions as not only providing early measures to prevent burnout but also offering effective strategies for managing it once it manifests, underscoring the importance of a proactive approach to burnout management strategy [55]. Echoing prior research, psychoeducational interventions are instrumental not merely in relaying information but in fostering self-awareness and developing coping mechanisms that can safeguard long-term health and professional stability [56]. Additionally, they equip nurses with essential self-care skills and enhance resilience against workplace stressors, which also offer therapeutic benefits [16]. These findings highlight the comprehensive scope of psychoeducational interventions that encompass cognitive, emotional, and behavioral aspects of individuals.
Out of the 27 included studies in this review, 24 reported that person-directed psychoeducational interventions were significantly effective in reducing burnout symptoms. Additionally, six of these studies exhibited highly significant effectiveness at different stages of follow-up, with five implementing single types of intervention and only one study applying mixed types of intervention. The most common single intervention that significantly reduced nurses’ burnout was MBIs, which included activities like mindful breathing, meditation, mindful eating, and mindful exercises, all of which functioned to improve mental health, boost self-care, and enhance physical activity. As shown in previous studies, MBIs have been reported to significantly reduce stress, anxiety, and depression among nurses, notably when practicing Mindfulness-Based Stress Reduction (MBSR) [57]. In addition, mindful exercises used in MBIs also encourage nurses to be more physically active, resulting in reduced cortisol and increased endorphin levels, subsequently enhancing adaptive stress responses, improving mood and social skills, building resilience, reducing exhaustion, and regulating sleep [58–61].
Apart from that, this systematic review enhances the current literature on the effect of psychoeducational interventions on various domains of burnout. For instance, MBIs were found to significantly reduce emotional exhaustion and depersonalization and increase personal accomplishment. These findings were consistent with a previous meta-analysis that showed MBIs as effective interventions in reducing burnout [62]. Although burnout intervention effectively reduced emotional exhaustion and depersonalization, its impact on personal accomplishment was less straightforward. For instance, a meta-analysis published in 2016 found that improvement in reduced PA lasted only six months among nurses who received burnout intervention, as compared to improvement that lasted up to a year in EE and DP [63]. A similar observation was made by Brady et al. (2020) [64]. The lack of impact exerted by the burnout intervention on the domains of PA can be attributed to the problem-solving-centric components, such as empowering the participants with stress reduction and coping skills that are more beneficial for the domains of EE and DP [23]. However, a previous meta-analysis demonstrated that combining burnout interventions with others, such as organizational-directed interventions, significantly boosted personal accomplishment among HCPs, attributed to the synergistic effect that amplifies the overall positive impact of the intervention [65].
Furthermore, our systematic review demonstrates that combining multiple psychoeducational interventions significantly reduces nurse burnout through a holistic approach, providing a better solution than single interventions in tackling the complex nature of burnout. This result aligns with Aryankhesal et al. (2019) [66], which demonstrated notable burnout reductions in physicians and nurses using integrated methods. In addition, mixed interventions have also been shown to improve the physical and mental health of nurses [67]. In terms of the effectiveness duration, a previous study using mixed intervention to tackle burnout among inpatient elderly care nursing staff reported a longer burnout reduction of up to one year compared to only a short-term reduction at one month when using a single intervention [68].
Like previous studies, the most frequently used mixed intervention to alleviate burnout found in our systematic review was MBIs and CBT, with or without additional intervention [36,41,51]. As shown in the previous study, this synergy leverages their complementary strengths where mindfulness enhances present-moment awareness and non-judgmental acceptance of one’s experiences, which was vital for effectively engaging with CBT’s techniques of cognitive restructuring [69,70]. Meanwhile, behavioral modification in CBT helps counter maladaptive thinking and improve stress responses by identifying and challenging cognitive distortions and implementing strategies that promote adaptive coping mechanisms [71]. Furthermore, by combining mindfulness practices with cognitive restructuring, individuals can develop a more balanced perspective on stressors and enhance their coping skills. Research suggests that integrating mindfulness and CBT yields promising outcomes in addressing burnout, as first reported by a meta-analysis in 2010 [72] whereby interventions combining mindfulness and CBT produced large effects in reducing symptoms of burnout. Since then, several reviews [73,74] have also presented evidence that combined interventions are more effective in reducing rates of relapsed burnout.
The next important strategy commonly found used alongside other interventions to reduce burnout involves enhancing professional competency. This includes communication training that focuses on improving interpersonal skills and team and leadership communication. A previous study showed that positive communication skills were a good buffer of EE, besides promoting self-actualization [75] and enhancing resilience [76], ultimately reducing nurse burnout. Apart from individual benefits, enhanced communication skills also create a more supportive and efficient work environment, collectively reducing stress and burnout, and leading to better job satisfaction and overall well-being [77]. Other than effective communication, burnout intervention can also be a combination of other activities such as coping strategies, emotional regulation skills, and resilience, which were reported by Lee and Cha (2023) [23], to be effective in changing health professionals’ burnout to wellness. By combining different psychoeducational techniques, mixed interventions can tackle the multiple aspects of burnout more comprehensively.
Apart from the intervention components, the delivery mode of these psychoeducational interventions is also crucial in the effectiveness and sustainability of burnout management. Physical modes, such as face-to-face individual counselling and group therapy sessions, offer personalised support and are highly effective in providing emotional support and reducing feelings of isolation [78]. Our review found that the commonest delivery method for burnout interventions was via face-to-face group programs, similar to Lee and Cha [23]. Physical activities positively impact psychoneuroimmunology and mental health via changes in stress hormones [79]. However, the physical mode of delivery comes with its own set of challenges, such as the need to accommodate individual logistical and schedule preferences. Digital delivery methods, including web-based programs, virtual support groups, and online/offline self-help modules, offer flexibility and broader access. These web-based interventions have been reported to be effective in reducing symptoms of post-traumatic stress disorder (PTSD), depression, and anxiety, especially during the lockdown period of the COVID-10 pandemic [80]. The pandemic has accelerated the development of virtual encounters, but the downside of the digital mode of delivery was the difficulty in obtaining and sustaining participant engagement [81]. For instance, Barrett et al. (2021) [82] indicated that studies using web-based tools may have higher attrition rates in burnout intervention programs. Given the pros and cons of both modes, the combination of physical and online programs has been attempted by incorporating human interactions into digital interventions [83]. As per our findings, five studies demonstrated significant burnout reduction when digital modes of delivery were combined with physical sessions, such as Luo et al. (2023) [33] and Safaeian et al. (2023) [40], as supported by Ginoux et al. (2019) [84]. By deriving the benefits of both physical and digital modes of intervention, researchers and stakeholders can ensure optimal participant engagement and favourable outcomes [85].
The findings from this systematic review underscore the importance of comprehensive, multi-component psychoeducational interventions that can effectively address burnout among nurses and be sustained over a long time. Single interventions, such as MBSR and CBT often showed short-term efficacy but lacked long-term sustainability. For instance, in one study, MBSR delivered in physical and digital formats was effective for up to six months [48]. However, in another study, its effects were only limited to immediate post-intervention [32]. However, combining these single interventions with other supportive practices like self-compassion, resilience, and interpersonal skills training has demonstrated sustained burnout reduction for longer periods [35,44]. Combining CBT with self-care strategies and interpersonal skills training was also effective, with results sustained for up to six months [51]. Furthermore, pairing psychoeducation with psychotherapy has been shown to significantly boost the overall effectiveness of mental health care, deepening the understanding of personal well-being and adaptive strategies [86]. Given their multifaceted benefits, psychoeducational interventions are recommended as fundamental components of mental health strategies for mitigating burnout [56]. Nevertheless, despite this review demonstrating the potential of psychoeducational interventions to mitigate nurse burnout effectively, the wide diversity of approaches and their implementation across various modalities introduces variability that affects outcomes and poses challenges for synthesizing findings or establishing universal recommendations. This variability, including differences in intervention design, duration, delivery methods, and participant characteristics, can undermine the dependability of findings by making it difficult to compare results across studies or draw consistent conclusions on efficacy. This underscores the importance of tailoring interventions to specific contexts, such as addressing the unique stressors of specific environments or adapting programs to align with differing organizational cultures and resource availability.
Moreover, many studies included in this systematic review were limited to short-term follow-ups despite initial positive impacts, leaving the long-term sustainability of burnout interventions for nurses unclear. Aryankhesal et al. (2019) [66] highlighted the importance of prolonged follow-ups to determine the true long-term effects of these interventions. Repeated interventions might also help maintain reduced burnout levels over time, as suggested by Günüşen and Üstün (2010) [87]. Some studies failed to proceed with long-term follow-up due to high attrition rate [40] as well as constraints of human and financial resources [47,52]. Because of the cessation of follow-ups at specific time points, it could not be determined whether the observed lack of long-term effectiveness was real or simply a result of insufficient follow-up data. Therefore, likeminded researchers in this field should explore more systematic and feasible approaches to gauge long-term effects, as these interventions could possibly remain effective over time.
Limitations
Several limitations emerged from this review and should be considered when interpreting the results. Many studies were conducted in single centers or specific regions, hence limiting the generalizability of the results to broader populations or different healthcare settings. Furthermore, most studies only assessed short-term effects up to three months post-intervention. The lack of long-term follow-up led to a suboptimal understanding of the sustained impact of burnout interventions. In addition, the studies analyzed in this review applied different instruments to measure burnout and could have resulted in heterogeneity. On top of that, the reliance on self-reporting to measure outcomes could have led to under or over-reporting of burnout symptoms depending on personal perceptions or social desirability, further affecting the accuracy of the results. Additionally, the studies generally lacked analysis of cultural factors, with interventions often designed without explicit consideration of sociocultural contexts, making it challenging to draw conclusions about the impact of cultural differences on the intervention effectiveness. Many studies used quasi-experimental designs (n=14), which are more prone to biases, such as selection bias and confounding factors, compared to randomized controlled trials (RCTs) [88,89], limiting the generalizability of findings and thus making it harder to determine the effects of the intervention. In addition, discrepancies in intervention format, training content, delivery methods, and follow-up duration further highlight the need to address contextual factors such as the target population’s needs, organizational environments, and cultural influences. While this review provides valuable insights into the efficacy of psychoeducational interventions, future research should aim to standardize intervention protocols, evaluation frameworks, and outcome measures. By doing so, interventions can be better designed to ensure consistent and effective results across diverse settings.
Moreover, implementation barriers may influence the outcomes of the test interventions. Only three studies described obstacles encountered in this review [36,51,54], including changes in hospital operations, challenges for participants in attending sessions due to time limitations, conflicting work schedules, increased workload, and the adjustment period required for transitioning to video-conference delivery instead of in-person sessions. These factors could have contributed to high attrition rates as well as diminished the reliability and validity of the findings. Based on the National Registry of Effective Prevention Programs’ study quality assessment scale, an attrition rate should be lower than 20% to be considered acceptable and favorable [90–92]. However, the attrition rates of the reviewed studies ranged from 0% [29,36] to 60.7% [30], with three studies not reporting attrition rates altogether [33,34,40]. Furthermore, most of the studies primarily focused on a few similar types of interventions, namely MBIs and CBT. There was also limited exploration of the delivery modes of the interventions, such as the impact of digital versus physical delivery. Such a narrow focus may have generated limited evidence about other potentially effective approaches.
The review process also had several limitations. It relied solely on electronic databases, potentially missing unpublished or grey literature, which might contain valuable but unpublished findings on burnout interventions among nurses. The review was restricted to English-language publications, which may have excluded relevant studies in other languages. Furthermore, by focusing on studies from the last decade, the review aimed to reflect current practices but may have introduced selection bias.
Recommendations for future research
Based on our findings, several areas for future research can be considered to better understand the effectiveness of psychoeducational burnout interventions among nurses. To ensure long-term sustainability of the interventions, future research should emphasize longer follow-up periods, extending from six months to 12 months. A longer follow-up period allows a more comprehensive evaluation of the sustained impact of interventions; whether initial benefits are maintained, diminish, or evolve over time. All these are essential in providing a clearer understanding of the durability of intervention effects in real-world contexts. This also will assist in identifying any late-emerging effects or the need for booster sessions. Furthermore, evidence of sustained impact is critical to inform policy decisions and support the scaling-up of effective interventions, as short-term gains alone may be insufficient to justify long-term investment.
Apart from that, even though implementation of targeted interventions in high-pressure specialized settings such as Intensive Care Units and Oncology Units is particularly beneficial, future research should be expanded from single-center or localized regions to include diverse healthcare settings such as community health centers and specialized facilities in both rural and urban areas. A broader range of nursing populations such as those from different specialties, career stages, and cultural backgrounds can be recruited to enhance the generalizability and applicability of the interventions.
As mentioned in the limitation section, findings from existing studies included in this review may not fully capture cultural variability across burnout management. The importance of sociocultural contexts cannot be sidelined in future research. The development of culturally-sensitive interventions are more likely to align with the values, beliefs, and health practices of target populations, thereby improving their acceptability, relevance, and effectiveness. Recognizing and addressing sociocultural differences also helps identify potential barriers and facilitators to implementation and sustainability of these interventions. For this purpose, a qualitative research approach will be preferred as it can offer valuable insights into contextual nuances such as workplace norms, coping mechanisms, and attitudes toward mental health and burnout. Such research could complement quantitative findings and provide a more holistic understanding of how interventions can be tailored to fit diverse cultural contexts. A higher representation of low- and middle-income countries (LMICs) may enhance the understanding of how cultural and resource differences may influence the success of these interventions. Additionally, incorporating a combination of both subjective self-reports and objective measures, such as physiological indicators (e.g., cortisol levels) and performance metrics (e.g., absenteeism rates) may help to reduce potential bias. This multimodal outcome reporting approach can provide a more comprehensive assessment of intervention effectiveness.
Exploring a broader range of potentially effective psychoeducational interventions, such as narrative therapy, art therapy, resilience training, and peer support, alongside commonly studied methods like MBIs and CBT, can help identify new and innovative solutions for burnout reduction. Given the increasing use of technology in healthcare, flexible and accessible technology-enhanced interventions, such as mobile apps and telehealth, should be evaluated for their feasibility, acceptability, and effectiveness in comparison with traditional in-person methods. These intervention approaches may be more practical for nurses working in remote or resource-limited settings. This review also did not explicitly assess implementation fidelity, and the majority of included studies lacked sufficient reporting on key fidelity components, such as facilitator training, adherence monitoring, and quality assurance mechanisms. Consequently, a comprehensive synthesis and analysis of implementation fidelity across interventions was not feasible. Future studies should use standardized protocols and incorporate rigorous measures of implementation fidelity (e.g., observation checklists, adherence measures, and feedback mechanisms) to better assess the true impact of the interventions. More importantly, these components should be reported more consistently to enhance replicability of intervention delivery across diverse contexts.
Another area worth exploring is the development of personalized interventions customized to an individual’s unique needs based on machine learning algorithms to predict the most effective intervention components based on personal characteristics and work stressors. Furthermore, integrating these interventions with organizational measures has been shown to enhance their effectiveness and yield long-lasting benefits(85). This highlighted the benefit of simultaneously addressing multiple dimensions of burnout, making interventions more comprehensive and effective. Finally, implementation science frameworks should be applied in future research to identify barriers and facilitators to successful adoption and integration of the interventions into routine clinical practice. To secure buy-ins from stakeholders, economic evaluation is also the way forward to provide cost-related benefits for policymakers and healthcare administrators to make informed decisions about resource allocation for burnout management programs.
Conclusion
The systematic review highlights the importance of addressing nurse burnout through psychoeducational interventions, revealing that both single and mixed approaches, especially MBIs and CBT, can effectively reduce burnout levels among nurses. However, the sustainability of the intervention remains a concern, necessitating long-term follow-up studies. Additionally, the review findings shed light on the benefits and challenges of different delivery modes, noting that while face-to-face interventions offer personalized support, digital and blended formats provide flexibility and broader access. Because of the varying intervention effectiveness based on the components and delivery modes of interventions, continued research and development of tailored, sustainable intervention modules are needed. Future research should focus on exploring a broader range of strategies across diverse healthcare environments with both objective and subjective measures such as cross-cultural differences to establish evidence-based and culturally appropriate interventions that can effectively improve nurse well-being, reduce turnover, and enhance patient care.
Supporting information
(PDF)
(PDF)
(PDF)
(XLSX)
Acknowledgments
The authors extend their gratitude to the Director General of Health Malaysia for granting his permission to publish this paper. Additionally, we would like to express our appreciation to the Sector for Evidence-Based in Healthcare, National Institutes of Health, Malaysia for the guidance throughout the review process.
Abbreviation3s:
- AAQ-II
Acceptance and Action Questionnaire – II
- ACT
Acceptance and Commitment Therapy
- BO
Burnout
- BRS
Brief Resilience Scale
- CAMS
Cognitive and Affective Mindfulness Scale
- CBI
Copenhagen Burnout Inventory
- CBT
Cognitive-Behavioral Therapy
- CD
Compact Discs
- CD-RISC
Connor-Davidson Resilience Scale-10
- CFO
Compassion Scale
- CF
Compassion Fatigue
- CRB
Client Related Burnout
- CRM
Community Resiliency Model
- CS
Compassion Satisfaction
- DASS-21
Depression, Anxiety, Stress Scale
- DP
Depersonalization
- EB
Education related to Burnout group
- EE
Emotional Exhaustion
- ERT
Emotional Regulation Training
- FFMQ
Five Facets of Mindfulness Questionnaire
- GSES
Generalized Self-Efficacy Scale
- HCP
Healthcare Professional
- MBI
Maslach’s Burnout Inventory
- MBI-GS
Maslach Burnout Inventory – General Survey
- MBI-HSS
Maslach Burnout Inventory – Human Services Survey
- MBI-HSS(MP)
Maslach Burnout Inventory – Human Services Survey for Medical Professionals
- MBIs
Mindfulness-Based Interventions
- MBIB
Mindfulness-Based Intervention on Burnout group
- MBSR
Mindfulness-Based Stress Reduction
- MSCR
Mindful Self-Care and Resiliency intervention
- OBI
Occupational Burnout Inventory
- OLBI
Oldenburg Burnout Inventory
- OCW
Over-Commitment to Work
- PA
Personal Accomplishment
- PB
Personal Burnout
- PE
Professional Efficacy
- PEI
Psychological Empowerment Instrument
- PICOS
Population, Interventions, Comparison, Outcome, Study Design
- PPIs
Positive Psychological Interventions
- ProQOL
Professional Quality of Life
- ProQOL-5
Professional Quality of Life Scale version 5
- PSS
Perceived Stress Scale
- QNWLS
Quality of Nursing Work Life Scale
- RCT
Randomized Controlled Trial
- RISE
Resilience, Insight, Self-compassion and Empowerment
- RTPs
Resilience Training Programs
- SCHC
Self-compassion for healthcare communities
- SCL-90
Symptom Checklist-90
- SCS
Self-Compassion Scale
- SCS-SF
Self-Compassion Scale – Short Form
- SMBQ
Shirom-Melamed Burn-out Questionnaire
- SRIS
Self-Reflection and Insight Scale
- STS
secondary traumatic stress
- UK
United Kingdom
- USA
United States of America
- WHO-5
WHO-5 well-being index
- WRB
work-related burnout
Data Availability
All relevant data are within the paper and its Supporting Information files.
Funding Statement
The author(s) received no specific funding for this work.
References
- 1.Mark G, Smith AP. Occupational stress, job characteristics, coping, and the mental health of nurses. Br J Health Psychol. 2012;17(3):505–21. doi: 10.1111/j.2044-8287.2011.02051.x [DOI] [PubMed] [Google Scholar]
- 2.Burn-out an “occupational phenomenon”: International Classification of Diseases [Internet]. 2019. [cited 2024 Aug 30]. Available from: https://www.who.int/news/item/28-05-2019-burn-out-an-occupational-phenomenon-international-classification-of-diseases [Google Scholar]
- 3.Maslach C, Schaufeli W, Leiter M. Job burnout. Annu Rev Psychol. 2001;52(1):397–422. [DOI] [PubMed] [Google Scholar]
- 4.Maslach C. A multidimensional theory of burnout. In: Theories of Organizational Stress [Internet]. Oxford University Press, Oxford; 1998. [cited 2024 Aug 30]. p. 68–85. Available from: https://academic.oup.com/book/52481/chapter/421376369 [Google Scholar]
- 5.Mudallal RH, Othman WM, Al Hassan NF. Nurses’ burnout: the influence of leader empowering behaviors, work conditions, and demographic traits. Inquiry: J Health Care Organ Prov Finan. 2017;54(1):004695801772494. doi: 10.1177/004695801772494 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Van Bogaert P, Meulemans H, Clarke S, Vermeyen K, Van de Heyning P. Hospital nurse practice environment, burnout, job outcomes and quality of care: test of a structural equation model. J Adv Nurs. 2009;65(10):2175–85. doi: 10.1111/j.1365-2648.2009.05082.x [DOI] [PubMed] [Google Scholar]
- 7.Woo T, Ho R, Tang A, Tam W. Global prevalence of burnout symptoms among nurses: a systematic review and meta-analysis. J Psychiatr Res. 2020;123:9–20. [DOI] [PubMed] [Google Scholar]
- 8.Pradas-Hernández L, Ariza T, Gómez-Urquiza JL, Albendín-García L, De la Fuente EI, Cañadas-De la Fuente GA. Prevalence of burnout in paediatric nurses: a systematic review and meta-analysis. PLoS One. 2018;13(4):e0195039. doi: 10.1371/journal.pone.0195039 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Ramirez-Baena L, Ortega-Campos E, Gomez-Urquiza J, Cañadas-De La Fuente G, De La Fuente-Solana E, Cañadas-De La Fuente G. A multicentre study of burnout prevalence and related psychological variables in medical area hospital nurses. J Clin Med. 2019;8(1):92. doi: 10.3390/jcm8010092 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Bruyneel A, Smith P, Tack J, Pirson M. Prevalence of burnout risk and factors associated with burnout risk among ICU nurses during the COVID-19 outbreak in French speaking Belgium. Intensive Crit Care Nurs. 2021;65:103059. doi: 10.1016/j.iccn.2021.103059 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Zakaria N, Zakaria NH, Bin Abdul Rassip MNA, Lee KY. Burnout and coping strategies among nurses in Malaysia: a national-level cross-sectional study. BMJ Open. 2022;12(10):e064687. doi: 10.1136/bmjopen-2022-064687 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Abd Wahab AT, Mohd Hairon S, Shafei MN, Ibrahim MI, Mahmud N. Exploring Job Stress Among Public Health Workforce in Northeastern Malaysia. Cureus [Internet]. 2023. Nov 19 [cited 2024 Feb 16]; Available from: https://www.cureus.com/articles/201639-exploring-job-stress-among-public-health-workforce-in-northeastern-malaysia [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Awa WL, Plaumann M, Walter U. Burnout prevention: a review of intervention programs. Patient Educ Couns. 2010;78(2):184–90. doi: 10.1016/j.pec.2009.04.008 [DOI] [PubMed] [Google Scholar]
- 14.De Simone S, Vargas M, Servillo G. Organizational strategies to reduce physician burnout: a systematic review and meta-analysis. Aging Clin Exp Res. 2021;33(4):883–94. doi: 10.1007/s40520-019-01368-3 [DOI] [PubMed] [Google Scholar]
- 15.DeChant PF, Acs A, Rhee KB, Boulanger TS, Snowdon JL, Tutty MA, et al. Effect of organization-directed workplace interventions on physician burnout: a systematic review. Mayo Clin Proc Innov Qual Outcomes. 2019;3(4):384–408. doi: 10.1016/j.mayocpiqo.2019.07.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Cohen C, Pignata S, Bezak E, Tie M, Childs J. Workplace interventions to improve well-being and reduce burnout for nurses, physicians and allied healthcare professionals: a systematic review. BMJ Open. 2023;13(6):e071203. doi: 10.1136/bmjopen-2022-071203 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Td S, Jh N. Executive Leadership and Physician Well-being: Nine Organizational Strategies to Promote Engagement and Reduce Burnout. PubMed [Internet]. 2016. [cited 2024 Sep 4]. Available from: https://pubmed.ncbi.nlm.nih.gov/27871627/ [DOI] [PubMed] [Google Scholar]
- 18.Yesufu-Udechuku A, Harrison B, Mayo-Wilson E, Young N, Woodhams P, Shiers D, et al. Interventions to improve the experience of caring for people with severe mental illness: systematic review and meta-analysis. Br J Psychiatry. 2015;206(4):268–74. doi: 10.1192/bjp.bp.114.147561 [DOI] [PubMed] [Google Scholar]
- 19.Brooks SK, Weston D, Wessely S, Greenberg N. Effectiveness and acceptability of brief psychoeducational interventions after potentially traumatic events: a systematic review. Eur J Psychotraumatol. 2021;12(1):1923110. doi: 10.1080/20008198.2021.1923110 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Pines AM. Treating career burnout: a psychodynamic existential perspective. J Clin Psychol. 2000;56(5):633–42. doi: [DOI] [PubMed] [Google Scholar]
- 21.Tully S, Tao H, Johnson M, Lebron M, Land T, Armendariz L. Gratitude practice to decrease stress and burnout in acute-care health professionals. OJIN Online J Issues Nurs [Internet] [cited 2024 Sep 4]. 2023;28(3). Available from: https://ojin.nursingworld.org/table-of-contents/volume-28-2023/number-3-september-2023/articles-on-previously-published-topics/gratitude-practice-to-decrease-stress/ [Google Scholar]
- 22.Zhang XJ, Song Y, Jiang T, Ding N, Shi TY. Interventions to reduce burnout of physicians and nurses: an overview of systematic reviews and meta-analyses. Medicine (Baltimore). 2020;99(26):e20992. doi: 10.1097/MD.0000000000020992 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Lee M, Cha C. Interventions to reduce burnout among clinical nurses: systematic review and meta-analysis. Sci Rep. 2023;13(1):10971. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Hsu H, Lee H, Hung H, Chen Y, Yen M, Chiang H, et al. Effectiveness of individual-based strategies to reduce nurse burnout: an umbrella review. J Nurs Manage. 2024;2024(1):1–13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Suleiman‐Martos N, Gomez‐Urquiza JL, Aguayo‐Estremera R, Cañadas‐De La Fuente GA, De La Fuente‐Solana EI, Albendín‐García L. The effect of mindfulness training on burnout syndrome in nursing: a systematic review and meta‐analysis. J Adv Nurs. 2020;76(5):1124–40. [DOI] [PubMed] [Google Scholar]
- 26.Sulosaari V, Unal E, Cinar FI. The effectiveness of mindfulness-based interventions on the psychological well-being of nurses: a systematic review. Appl Nurs Res. 2022;64:151565. doi: 10.1016/j.apnr.2022.151565 [DOI] [PubMed] [Google Scholar]
- 27.Abdullah SI, Jinah N, Bakit P, Adnan I, Zakaria N, Mohmad S. Psychoeducational burnout intervention for nurses: protocol for a systematic review. JMIR Res Protoc. 2024;13:e58692. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Özbaş AA, Tel H. The effect of a psychological empowerment program based on psychodrama on empowerment perception and burnout levels in oncology nurses: psychological empowerment in oncology nurses. Palliat Support Care. 2016;14(4):393–401. doi: 10.1017/S1478951515001121 [DOI] [PubMed] [Google Scholar]
- 29.Wei R, Ji H, Li J, Zhang L. Active intervention can decrease burnout in Ed nurses. J Emerg Nurs. 2017;43(2):145–9. [DOI] [PubMed] [Google Scholar]
- 30.Grabbe L, Higgins MK, Baird M, Craven PA, San Fratello S. The Community Resiliency Model® to promote nurse well-being. Nurs Outlook. 2020;68(3):324–36. doi: 10.1016/j.outlook.2019.11.002 [DOI] [PubMed] [Google Scholar]
- 31.Xie C, Zeng Y, Lv Y, Li X, Xiao J, Hu X. Educational intervention versus mindfulness-based intervention for ICU nurses with occupational burnout: a parallel, controlled trial. Complement Ther Med. 2020;52:102485. doi: 10.1016/j.ctim.2020.102485 [DOI] [PubMed] [Google Scholar]
- 32.Huang H, Zhang H, Xie Y, Wang S-B, Cui H, Li L, et al. Effect of Balint group training on burnout and quality of work life among intensive care nurses: a randomized controlled trial. Neurol Psychiatr Brain Res. 2020;35:16–21. doi: 10.1016/j.npbr.2019.12.002 [DOI] [Google Scholar]
- 33.Sis Çelik A, Kılınç T. The effect of laughter yoga on perceived stress, burnout, and life satisfaction in nurses during the pandemic: a randomized controlled trial. Complement Ther Clin Pract. 2022;49:101637. doi: 10.1016/j.ctcp.2022.101637 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Dahlgren A, Tucker P, Epstein M, Gustavsson P, Söderström M. Randomised control trial of a proactive intervention supporting recovery in relation to stress and irregular work hours: effects on sleep, burn-out, fatigue and somatic symptoms. Occup Environ Med. 2022;79(7):460–8. doi: 10.1136/oemed-2021-107789 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Fong J, Hui A, Ho K, Chan A, Lee A. Brief mindful coloring for stress reduction in nurses working in a Hong Kong hospital during COVID-19 pandemic: a randomized controlled trial. Medicine (Baltimore). 2022;101(43):e31253. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Pérez V, Menéndez-Crispín EJ, Sarabia-Cobo C, de Lorena P, Fernández-Rodríguez A, González-Vaca J. Mindfulness-based intervention for the reduction of compassion fatigue and burnout in nurse caregivers of institutionalized older persons with dementia: a randomized controlled trial. Int J Environ Res Public Health. 2022;19(18):11441. doi: 10.3390/ijerph191811441 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Laker V, Simmonds-Buckley M, Delgadillo J, Palmer L, Barkham M. Pragmatic randomized controlled trial of the Mind Management Skills for Life Programme as an intervention for occupational burnout in mental healthcare professionals. J Mental Health. 2023;32(4):752–60. [DOI] [PubMed] [Google Scholar]
- 38.Lu F, Xu Y, Yu Y, Zhao R, Peng L, Liu B, et al. Long-term effects of a tailored mindfulness-based program for Chinese intensive care unit nurses: a randomized parallel-group trial. Nurse Educ Pract. 2023;70:103640. doi: 10.1016/j.nepr.2023.103640 [DOI] [PubMed] [Google Scholar]
- 39.Sawyer AT, Bailey AK, Green JF, Sun J, Robinson PS. Resilience, insight, self-compassion, and empowerment (RISE): a randomized controlled trial of a psychoeducational group program for nurses. J Am Psychiatr Nurses Assoc. 2023;29(4):314–27. doi: 10.1177/10783903211033338 [DOI] [PubMed] [Google Scholar]
- 40.Sawyer AT, Tao H, Bailey AK. The impact of a psychoeducational group program on the mental well-being of unit-based nurse leaders: a randomized controlled trial. Int J Environ Res Public Health. 2023;20(11):6035. doi: 10.3390/ijerph20116035 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Duarte J, Pinto-Gouveia J. Effectiveness of a mindfulness-based intervention on oncology nurses’ burnout and compassion fatigue symptoms: a non-randomized study. Int J Nurs Stud. 2016;64:98–107. doi: 10.1016/j.ijnurstu.2016.10.002 [DOI] [PubMed] [Google Scholar]
- 42.Duarte J, Pinto-Gouveia J. Mindfulness, self-compassion and psychological inflexibility mediate the effects of a mindfulness-based intervention in a sample of oncology nurses. J Context Behav Sci. 2017;6(2):125–33. [Google Scholar]
- 43. Slatyer S, Craigie M, Heritage B, Davis S, Rees C. Evaluating the effectiveness of a brief mindful self-care and resiliency (MSCR) intervention for nurses: a controlled trial. Mindfulness. 2018;9(2):534–46. [Google Scholar]
- 44.Alenezi A, McAndrew S, Fallon P. Burning out physical and emotional fatigue: evaluating the effects of a programme aimed at reducing burnout among mental health nurses. Int J Ment Health Nurs. 2019;28(5):1045–55. doi: 10.1111/inm.12608 [DOI] [PubMed] [Google Scholar]
- 45.Bagheri T, Fatemi MJ, Payandan H, Skandari A, Momeni M. The effects of stress-coping strategies and group cognitive-behavioral therapy on nurse burnout. Ann Burns Fire Disasters. 2019;32(3):184–9. [PMC free article] [PubMed] [Google Scholar]
- 46.Kharatzadeh H, Alavi M, Mohammadi A, Visentin D, Cleary M. Emotional regulation training for intensive and critical care nurses. Nurs Health Sci. 2020;22(2):445–53. doi: 10.1111/nhs.12679 [DOI] [PubMed] [Google Scholar]
- 47.Luo YH, Li H, Plummer V, Cross W, Lam L, Guo YF. An evaluation of a positive psychological intervention to reduce burnout among nurses. Arch Psychiatr Nurs. 2019;33(6):186–91. [DOI] [PubMed] [Google Scholar]
- 48.Franco PL, Christie LM. Effectiveness of a one day self-compassion training for pediatric nurses’ resilience. J Pediatr Nurs. 2021;61:109–14. doi: 10.1016/j.pedn.2021.03.020 [DOI] [PubMed] [Google Scholar]
- 49.Fu C-Y, Kao C-C, Wang R-H. The effects of an educational program on the professional quality of life and health of nurses: a cluster experimental design. J Nurs Res. 2021;29(3):e149. doi: 10.1097/JNR.0000000000000426 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Hsieh H-F, Huang Y-T, Ma S-C, Wang Y-W. Occupational burnout and stress of nurses in Taiwan regarding COVID-19: an intervention with gong medication. J Nurs Manag. 2022;30(8):3909–17. doi: 10.1111/jonm.13653 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Luo L, Peng X, Hou J, Xie Y, Dong H, Peng S. Effects of mindfulness decompression therapy on mental health and job burnout among nurses working in the frontline of the novel coronavirus pandemic: a retrospective study. J Occup Health. 2023;65(1):e12398. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Othman SY, Hassan NI, Mohamed AM. Effectiveness of mindfulness-based interventions on burnout and self-compassion among critical care nurses caring for patients with COVID-19: a quasi-experimental study. BMC Nurs. 2023;22(1):305. doi: 10.1186/s12912-023-01466-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53. Safaeian M, Kakavand A, Hidaji MB, Shirmahaleh FM, Ranjbaripour T. Comparing the effectiveness of mindfulness training with schema therapy on cognitive fusion and job burnout in female nurses. 2024. Archives of Hygiene Sciences EBSCOhost [Internet]. [cited 2024 Sep 4]. Available from: https://openurl.ebsco.com/EPDB%3Agcd%3A6%3A26487286/detailv2?sid=ebsco%3Aplink%3Ascholar&id=ebsco%3Agcd%3A165033482&crl=f [Google Scholar]
- 54.Safavi N, Kamrani M, Asgharipour N. Effect of resilience training on job burnout of hospital nursing staff. Iran J Psychiatr Behav Sci. 2023;17(2). [Google Scholar]
- 55.Barbosa A, Nolan M, Sousa L, Figueiredo D. Supporting direct care workers in dementia care: effects of a psychoeducational intervention. Am J Alzheimers Dis Other Demen. 2015;30(2):130–8. doi: 10.1177/1533317514550331 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Szigeti MV. Burnout prevention with psychoeducation in teachers. In: Education and New Developments 2021 [Internet]. “Education and Society” Doctoral School of Education, University of Pécs (Hungary). In Science Press; 2021. [cited 2024 Sep 4]. p. 205–9. Available from: http://end-educationconference.org/wp-content/uploads/2021/07/2021end044.pdf [Google Scholar]
- 57.Kriakous SA, Elliott KA, Lamers C, Owen R. The effectiveness of mindfulness-based stress reduction on the psychological functioning of healthcare professionals: a systematic review. Mindfulness (NY). 2021;12(1):1–28. doi: 10.1007/s12671-020-01500-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Anderson E, Shivakumar G. Effects of exercise and physical activity on anxiety. Front Psychiatry. 2013;4:27. doi: 10.3389/fpsyt.2013.00027 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Risavy SD. In: Luong A, Sprung JM, Zickar MJ . Personnel Psychology New York: Routledge, 2024, 250 p, $170, hardcover. Pers Psychol. 2024;77(3):1299–301. [Google Scholar]
- 60.Naczenski L, De Vries J, Van Hooff M, Kompier M. Systematic review of the association between physical activity and burnout. J Occup Health. 2017;59(6):477–94. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Dolezal BA, Neufeld EV, Boland DM, Martin JL, Cooper CB. Interrelationship between sleep and exercise: a systematic review. Adv Prev Med. 2017;2017:1364387. doi: 10.1155/2017/1364387 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Wang Q, Wang F, Zhang S, Liu C, Feng Y, Chen J. Effects of a mindfulness-based interventions on stress, burnout in nurses: a systematic review and meta-analysis. Front Psychiatry. 2023;14(8):1218340. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Lee H-F, Kuo C-C, Chien T-W, Wang Y-R. A Meta-Analysis of the Effects of Coping Strategies on Reducing Nurse Burnout. Appl Nurs Res. 2016;31:100–10. doi: 10.1016/j.apnr.2016.01.001 [DOI] [PubMed] [Google Scholar]
- 64.Brady KJS, Ni P, Sheldrick RC, Trockel MT, Shanafelt TD, Rowe SG, et al. Describing the emotional exhaustion, depersonalization, and low personal accomplishment symptoms associated with Maslach Burnout Inventory subscale scores in US physicians: an item response theory analysis. J Patient Rep Outcomes. 2020;4(1):42. doi: 10.1186/s41687-020-00204-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Salvado M, Marques DL, Pires IM, Silva NM. Mindfulness-based interventions to reduce burnout in primary healthcare professionals: a systematic review and meta-analysis. Healthcare (Basel). 2021;9(10):1342. doi: 10.3390/healthcare9101342 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Aryankhesal A, Mohammadibakhsh R, Hamidi Y, Alidoost S, Behzadifar M, Sohrabi R. Interventions on reducing burnout in physicians and nurses: a systematic review. Med J Islam Repub Iran. 2019;33(3):77. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Otto A-K, Gutsch C, Bischoff LL, Wollesen B. Interventions to promote physical and mental health of nurses in elderly care: a systematic review. Prev Med. 2021;148:106591. doi: 10.1016/j.ypmed.2021.106591 [DOI] [PubMed] [Google Scholar]
- 68.Westermann C, Kozak A, Harling M, Nienhaus A. Burnout intervention studies for inpatient elderly care nursing staff: systematic literature review. Int J Nurs Stud. 2014;51(1):63–71. doi: 10.1016/j.ijnurstu.2012.12.001 [DOI] [PubMed] [Google Scholar]
- 69.Naliboff BD, Smith SR, Serpa JG, Laird KT, Stains J, Connolly LS, et al. Mindfulness-based stress reduction improves irritable bowel syndrome (IBS) symptoms via specific aspects of mindfulness. Neurogastroenterol Motil. 2020;32(9):e13828. doi: 10.1111/nmo.13828 [DOI] [PubMed] [Google Scholar]
- 70.Kabat-Zinn J, Hanh T. Full catastrophe living (revised edition): using the wisdom of your body and mind to face stress, pain, and illness. 2013:1–720.
- 71.Hofmann SG, Gómez AF. Mindfulness-based interventions for anxiety and depression. Psychiatr Clin North Am. 2017;40(4):739–49. doi: 10.1016/j.psc.2017.08.008 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Hofmann SG, Sawyer AT, Witt AA, Oh D. The effect of mindfulness-based therapy on anxiety and depression: A meta-analytic review. J Consult Clin Psychol. 2010;78(2):169–83. doi: 10.1037/a0018555 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Bes I, Shoman Y, Al-Gobari M, Rousson V, Guseva Canu I. Organizational interventions and occupational burnout: a meta-analysis with focus on exhaustion. Int Arch Occup Environ Health. 2023;96(9):1211–23. doi: 10.1007/s00420-023-02009-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Pijpker R, Vaandrager L, Veen EJ, Koelen MA. Combined interventions to reduce burnout complaints and promote return to work: a systematic review of effectiveness and mediators of change. Int J Environ Res Public Health. 2019;17(1):55. doi: 10.3390/ijerph17010055 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Emold C, Schneider N, Meller I, Yagil Y. Communication skills, working environment and burnout among oncology nurses. Eur J Oncol Nurs. 2011;15(4):358–63. doi: 10.1016/j.ejon.2010.08.001 [DOI] [PubMed] [Google Scholar]
- 76.Lee EY, Kim K-J, Ko S, Song EK. Communication competence and resilience are modifiable factors for burnout of operating room nurses in South Korea. BMC Nurs. 2022;21(1):203. doi: 10.1186/s12912-022-00985-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Darban F, Balouchi A, Narouipour A, Safarzaei E, Shahdadi H. Effect of communication skills training on the burnout of nurses: a cross-sectional study. J Clin Diagn Res. 2016;10(4):IC01–4. doi: 10.7860/JCDR/2016/19312.7667 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Agyapong B, Brett-MacLean P, Burback L, Agyapong VIO, Wei Y. Interventions to reduce stress and burnout among teachers: a scoping review. Int J Environ Res Public Health. 2023;20(9):5625. doi: 10.3390/ijerph20095625 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Kiecolt-Glaser JK, McGuire L, Robles TF, Glaser R. Psychoneuroimmunology: psychological influences on immune function and health. J Consult Clin Psychol. 2002;70(3):537–47. doi: 10.1037//0022-006x.70.3.537 [DOI] [PubMed] [Google Scholar]
- 80.D’Onofrio G, Ciccone F, Placentino G, Placentino M, Tulipani C, Prencipe A, et al. Internet-based psychological interventions during SARS-CoV-2 pandemic: an experience in south of Italy. Int J Environ Res Public Health. 2022;19(9):5425. doi: 10.3390/ijerph19095425 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Lattie EG, Adkins EC, Winquist N, Stiles-Shields C, Wafford QE, Graham AK. Digital mental health interventions for depression, anxiety, and enhancement of psychological well-being among college students: systematic review. J Med Internet Res. 2019;21(7):e12869. doi: 10.2196/12869 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Barrett K, Stewart I. A preliminary comparison of the efficacy of online Acceptance and Commitment Therapy (ACT) and Cognitive Behavioural Therapy (CBT) stress management interventions for social and healthcare workers. Health Soc Care Community. 2021;29(1):113–26. doi: 10.1111/hsc.13074 [DOI] [PubMed] [Google Scholar]
- 83.Philippe TJ, Sikder N, Jackson A, Koblanski ME, Liow E, Pilarinos A, et al. Digital health interventions for delivery of mental health care: systematic and comprehensive meta-review. JMIR Ment Health. 2022;9(5):e35159. doi: 10.2196/35159 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Ginoux C, Isoard-Gautheur S, Sarrazin P. “Workplace Physical Activity Program” (WOPAP) study protocol: a four-arm randomized controlled trial on preventing burnout and promoting vigor. BMC Public Health. 2019;19(1):289. doi: 10.1186/s12889-019-6598-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.Lam L, Lam M, Reddy P, Wong P. Efficacy of a workplace intervention program with web-based online and offline modalities for improving workers’ mental health. Front Psychiatr. 2022;13:888157. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.Fiol-DeRoque MA, Serrano-Ripoll MJ, Jiménez R, Zamanillo-Campos R, Yáñez-Juan AM, Bennasar-Veny M, et al. A mobile phone-based intervention to reduce mental health problems in health care workers during the COVID-19 pandemic (PsyCovidApp): randomized controlled trial. JMIR Mhealth Uhealth. 2021;9(5):e27039. doi: 10.2196/27039 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Günüşen NP, Ustün B. An RCT of coping and support groups to reduce burnout among nurses. Int Nurs Rev. 2010;57(4):485–92. doi: 10.1111/j.1466-7657.2010.00808.x [DOI] [PubMed] [Google Scholar]
- 88.Lopez-Bernal JA, Andrews N, Amirthalingam G. The use of quasi-experimental designs for vaccine evaluation. Clin Infect Dis. 2019;68(10):1769–76. [DOI] [PubMed] [Google Scholar]
- 89.Office for Health Improvement and Disparities. Quasi-experimental study: comparative studies [Internet]. GOV.UK. 2021. Available from: https://www.gov.uk/guidance/quasi-experimental-study-comparative-studies. www.gov.uk; 2021. [Google Scholar]
- 90.Asano M, Koh GC-H, Madhukumar P, Teng GYH, Liew PLL, Nagalingam S, et al. Study protocol: a pilot quasi-experimental trial of tele-rehabilitation and tele-drain care post-mastectomy. Pilot Feasibility Stud. 2021;7(1):39. doi: 10.1186/s40814-021-00776-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Amico KR. Percent total attrition: a poor metric for study rigor in hosted intervention designs. Am J Public Health. 2009;99(9):1567–75. doi: 10.2105/AJPH.2008.134767 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Valentine JC, McHugh CM. The effects of attrition on baseline comparability in randomized experiments in education: a meta-analysis. Psychol Methods. 2007;12(3):268–82. doi: 10.1037/1082-989X.12.3.268 [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
(PDF)
(PDF)
(PDF)
(XLSX)
Data Availability Statement
All relevant data are within the paper and its Supporting Information files.

