Prevalence and Management of Burnout Among Dental Professionals Before, During, and After the COVID-19 Pandemic: A Systematic Review
Abstract
:1. Introduction
2. Materials and Methods
2.1. Systematic Review Design
2.2. Search Strategy
2.3. Selection Criteria
2.4. Study Selection Process
2.5. Data Extraction
2.6. Risk of Bias and Quality Assessment
3. Results
3.1. Studies Characteristics
3.2. Burnout Measure
3.3. Sociodemographic Aspects and COVID-19 Era
3.4. Comparison Between Dentists
3.5. Presence of Burnout Syndrome and Distribution of Burnout Subscales
3.6. Risk of Bias/Quality Assessment of Studies
4. Discussion
4.1. Theoretical Implications
4.2. Limitations
4.3. Practical Implications
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Ref. No. | Aim of the Study | Scales | Conclusions |
---|---|---|---|
[1] | Evaluate the sociodemographic and work-related factors that influence the degree of syndrome development through an observational epidemiological study in Spain. | Maslach Burnout Inventory | EE is influenced by age and working hours per week. Ownership of the practice, years of experience, and working hours per week impact DP. Working alone determines a high risk of low PA. |
[16] | To use epidemiological research to examine the personality traits and coping mechanisms used by Spanish dentists who are experiencing burnout syndrome. | MBI-HSS (burnout questionnaire) NEO-FFI (personality traits) Brief COPE (coping styles) | Strong indicators to try and predict whether dentists may have burnout syndrome are personality factors, avoidant coping style, and age. |
[17] | To investigate the connections between dentists’ work environments, job satisfaction, and burnout and to investigate how particular sociodemographic factors predict how dentists perceive their work environments in Spain. | Maslach Burnout Inventory Survey of Organizational Attributes for Dental Care Warr–Cook–Wall Overall Job Satisfaction Scale | A good perception of well-being at work is perceived by dentists with more years of professional experience. Reducing burnout is important to improve well-being in dentistry. |
[30] | To determine the incidence of burnout in professionals dedicated to dentistry in Spain. | Maslach Burnout Inventory | Oral surgery and implantology seem to be risk activities for the manifestation of depersonalization. |
[18] | To investigate the performance of the items and the subscales of the Maslach Burnout Inventory among dental professionals in Lithuania. | Maslach Burnout Inventory | MBI offers factorial validity and demonstrates its invariant structure and variance of burnout dimensions across demographic and workload groups. |
[19] | To evaluate the burnout level among Lithuanian dentists and its association with demographic variables, job satisfaction, and other job-related variables. | Maslach Burnout Inventory | In Lithuania, dentists can develop a high degree of burnout, especially high emotional exhaustion. Low job satisfaction appears to be an important factor in all three burnout dimensions. |
[28] | To determine the association between burnout level with lifestyle and relaxation among Lithuanian dentists. | Maslach Burnout Inventory | Active relaxation is positively associated with burnout and an unhealthy lifestyle is negatively associated with the syndrome. |
[31] | To assess the relationship between depressive symptoms and burnout among dentists in Turkey. | Maslach Burnout Inventory (MBI) Beck Depression Inventory (BDI) | A high level of burnout may provide the opportunity to identify depression earlier. |
[32] | To determine the prevalence of burnout and occupational participation limitation among dental students in Turkey. | Maslach Burnout Inventory-Student Version (MBI-SV) Canadian Occupational Performance Measure (COPM) | Burnout and occupational participation limitations are present among dental students. They are both capable of existing simultaneously. |
[34] | To evaluate how COVID-19 pandemic affects dentists’ competence and willingness to work, as well as its impact on occupational burnout in Turkey. | Maslach Burnout Inventory | The dentists who served during the pandemic showed higher stress and burnout levels. |
[35] | To determine the professional and personal factors impacting depression and burnout syndrome in dentists working in private clinics, academic faculties, and oral and dental health centers in Turkey. | Maslach Burnout Inventory Beck Depression Inventory (BDI) | Oral and dental health center dentists reported greater levels of EE. |
[29] | To determine the degree and distribution of burnout and to evaluate the factors associated with the syndrome among Republic of Korean dentists. | Maslach Burnout Inventory | High burnout level is associated with some job-related and sociodemographic factors. Burnout is a common problem in Republic of Korean dentists. |
[36] | To investigate the burnout and depression levels among Republic of Korean senior dentistry students. | Maslach Burnout Inventory Patient Health Questionnaire (PHQ-9) | When compared to students who were not burnt out, burnout students reported far lower satisfaction levels and a greater need for counseling. |
[37] | To assess the relationship between COVID-19 and stress, burnout, and depression among dental students in Republic of Korea. | Maslach Burnout Inventory (MBI) Patient Health Questionnaire-9 (PHQ-9) Impact of Event Scale-Revised (IES-R) | Students who work with patients experience higher levels of depression, vulnerability because of COVID-19, and burnout. |
[38] | To evaluate occupational burnout and its association with stress among dentists in Hong Kong. | Maslach Burnout Inventory | A high level of burnout was associated with job-related stressors and a lack of postgraduate qualifications. |
[39] | To investigate work stress and occupational burnout among dentists in Taiwan. | Maslach Burnout Inventory-Human Service Survey (MBI-HSS) The Questionnaire on Medical Workers’ Stress (QWS) | Professional stress and burnout were common among dental staff and better stress management is recommended to promote mental health. |
[20] | To determine the level of burnout and related factors among dentists in southern Thailand who work in public hospitals. | Burnout Inventory–Human Services Survey (MBI-HSS) Thai Effort–Reward Imbalance Questionnaire (Thai ERIQ) Utrecht Work Engagement Scales-9 (UWES-9) | Age and work engagement are common factors associated with EE, DP, and PA. |
[33] | To evaluate professional job burnout and temperament from the viewpoint of Traditional Persian Medicine. | Maslach Burnout Inventory Salmannejad Mizaj questionnaire. | A higher degree of burnout in EE is experienced by dentists with cold and dry temperaments and a higher DP and a low PA are experienced by dentists with warm and wet temperaments. |
[40] | To determine the prevalence and degree of burnout during the COVID-19 pandemic in practicing Pakistani dentists. | Maslach Burnout Inventory | All three dimensions of burnout were found to be in the moderate range and measures should be taken to manage it. |
[21] | To analyze occupational burnout and work stress among dental assistants in Israel and to discover the factors predicting burnout. | Maslach Burnout Inventory Work Stress Inventory (WSI) | Predictors for EE are dentist-assistant relationship, workload, patient type, and salary. DP is influenced by patient suffering, dentist-assistant relationships, years of professional experience, and work hazards. |
[41] | To study the factors associated with burnout syndrome in dental specialists in Colombia. | Maslach Burnout Inventory Copenhagen Questionnaire (CQ) | The study observed that smoking is associated with burnout syndrome and that a relationship exists between the syndrome and the years after graduating from the specialty. |
[22] | To examine the prevalence of EE, DP, and low PA in dental hygienists in Canada after the COVID-19 pandemic and to explore the pandemic effects on their professional lives. | Maslach Burnout Inventory Two open-ended questions | The first wave of the pandemic may have influenced the rate of EE among dental hygienists. It is important to recognize the signs and symptoms of burnout to reduce its detrimental effects. |
[23] | To look into aspects of health and well-being that dentists and other dental health workers in primary dental care experience as a result of the ambiguous surroundings of the pandemic in Scotland. | Maslach Burnout Inventory for EE and DP Patient Health Questionnaire−2 (PHQ-2) Dental Professional Preparedness for Practice Scale (DPPPS) Event Scale-Revised | The results highlight the potential advantages of allocating resources for staff support and interventions to help dental personnel in times of significant uncertainty. |
[24] | Identifies the factors related to burnout among dentists during the COVID-19 pandemic in Brazil. | Maslach Burnout Inventory Beck Anxiety Inventory WHOQol-BREF questionnaire | Factors such as quality of life, amount of time in the profession, use of personal protective equipment, support from fellow dentists, and alcohol consumption should be considered during a pandemic. |
[25] | To analyze occupational burnout, career satisfaction, and the quality of life among dentists in Athens, Greece. | Maslach Burnout Inventory Copenhagen Questionnaire (CQ) | Males seem to be more inclined to develop dissatisfaction, physical and emotional exhaustion, and unhappiness. |
[26] | To examine the relationship between burnout and dentists’ intentions to change careers during the COVID-19 pandemic in Romania. | MBI–Human Services Survey for Medical Personnel—MBI-HSS (MP) | Higher levels of EE are more evident in female dentists and DP in male dentists, and there were no differences in PA levels between the two genders. The results were alarming and emphasized the need for interventions and support services. |
[42] | To evaluate burnout and work engagement among dentists in U.S. | Maslach Burnout Inventory–Human Services Survey Utrecht Work Engagement Scale | There was a substantial correlation between the burnout subscale scores and the work engagement subscale scores. |
[27] | To find out how common depression and/or burnout are in the U.S. pediatric dentistry community. | Maslach Burnout Inventory Patient Health Questionnaire-8 | There was noteworthy relationship found between moderate-to-severe depression and high emotional exhaustion, high depersonalization, and low personal accomplishment. |
Burnout Scale | Domains | Items | Scales | Focus |
---|---|---|---|---|
The Maslach Burnout Inventory–Human Services Survey (MBI-HSS) | Emotional exhaustion/EE Depersonalization/DP Personal accomplishment/PA | 22 items | 7-point scale | To evaluate a physician’s level of burnout |
Article | Country | Year of Publication | Study Carried out About COVID-19 Era | Definition of High-Level Burnout | Response Rate, % | Mean Age | High Level of Burnout |
---|---|---|---|---|---|---|---|
[1] | Spain | 2022 | No | EE > 26 DP > 9 PA < 3 | 3.4% | 41.9 years (SD = 11.5) | 9.80% |
[16] | Spain | 2021 | No | EE ≥ 26 DP ≥ 9 PA ≤ 34 | 3.4% | 41.9 years (SD = 11.5) | 9.80% |
[17] | Spain | 2021 | No | EE ≥ 24 DP ≥ 9 PA ≤ 39 | 9.4% | 37.6 years (SD = 9.6) | 3.80% |
[30] | Spain | 2023 | No | EE ≥ 27 DP ≥ 10 PA ≤ 34 | - | -teachers: 39.3 years -1st year postgraduate: 25 years -2nd year postgraduate: 25.8 years -3rd year: 27.2 years | 22.20% |
[18] | Lithuania | 2020 | No | - | 3.5% | 37.3 years (SD = 12.9) | - |
[19] | Lithuania | 2021 | No | EE ≥ 27 DP ≥ 13 PA ≤ 31 | 61.5% | 37.3 years (SD = 12.9) | 15.30% |
[28] | Lithuania | 2021 | No | - | 61.5% | ≥30 years | 44.49% |
[31] | Turkey | 2016 | No | - | 76% | 36 years (SD = 4.45) | 29% |
[32] | Turkey | 2016 | No | - | - | - | 26% |
[34] | Turkey | 2021 | Yes | EE ≥ 31 DP ≥ 11 PA ≤ 35 | 88.25% | - | 20% |
[35] | Turkey | 2024 | No | Burnout syndrome ≥ 18 DP ≥ 10 PA ≤ 26 | - | 36.98 years (SD = 5.56) | - |
[29] | Republic of Korea | 2015 | No | EE ≥ 27 DP ≥ 10 PA ≤ 33 | 45.9% | 45.6 years | |
[36] | Republic of Korea | 2020 | No | EE ≥ 26 DP ≥ 10 PA ≤ 33 | 76.9% | 26.8 years | 17.90% |
[37] | Republic of Korea | 2024 | Yes | EE ≥ 27 DP ≥ 10 PA ≤ 33 | - | 25 years | 28.80% |
[38] | China | 2017 | No | EE ≥ 27 DP≥ 13 PA ≤ 31 | 28.3% | - | 7% |
[39] | Taiwan | 2019 | No | - | 79.9% | - | - |
[20] | Thailand | 2022 | No | - | 56% | 34.6 years (SD = 7.6) | - |
[33] | Iran | 2022 | No | EE ≥ 27 DP ≥ 13 PA ≤ 39 | 82.76% | 35.2 years (SD = 7.2) | - |
[40] | Pakistan | 2023 | Yes | EE ≥ 27 DP ≥ 13 PA ≤ 39 | - | - | - |
[21] | Israel | 2018 | No | EE ≥ 31 DP ≥ 11 PA ≤ 35 | 46.4% | 30.9 years (SD = 9.84) | - |
[41] | Colombia | 2022 | No | EE ≥ 27 DP ≥ 10 PA ≤33 | 83.7% | 44.0 years (SD = 7.8) | - |
[22] | Canada | 2021 | Yes | EE ≥ 27 DP ≥ 10 PA ≤ 33 | 34.9% | - | 36.20% |
[23] | Scotland | 2021 | Yes | - | 27% | 37 years | - |
[24] | Brazil | 2023 | Yes | EE ≥ 30 DP ≥ 12 PA ≤ 33 | - | 32.1 years (SD = 8.3) | - |
[25] | Greece | 2022 | Yes | - | 12.76% | - | - |
[26] | Romania | 2023 | Yes | - | - | 38.79 years | - |
[42] | USA | 2017 | No | - | - | - | 13.20% |
[27] | USA | 2020 | No | - | 11.4% | 30–40 years | 9.1% |
Study | EE | DP | PA |
---|---|---|---|
[1] | 61.30% | 45.80% | 14.60% |
[16] | 30.80% | 10.30% | 39.80% |
[17] | 45.60% | 20.50% | 96% |
[30] | 25% | 77.80% | 11.10% |
[19] | 42.30% | 18.70% | 28.20% |
[28] | 24.27% | 7.78% | 12.44% |
[31] | 38% | 22% | 12% |
[32] | 25% | 18% | 14% |
[34] | 20.83% | 7.58% | 9.41% |
[35] | 91.72% | 66.21% | 75.87% |
[29] | 41.20% | 55.90% | 41.40% |
[36] | 44.60% | 36.60% | 51.80% |
[37] | 86.50% | 90.40% | 45.50% |
[38] | 25.40% | 17.20% | 39% |
[39] | 26.31% | 9.60% | 19.23% |
[20] | 45.80% | 44.30% | 4% |
[33] | 8.30% | 7.50% | 64.20% |
[40] | 47.50% | 23% | 29.40% |
[21] | 26.40% | 12% | 27.80% |
[41] | 3.40% | 4.30% | 4.30% |
[22] | 65% | 34% | 24% |
[24] | 43.40% | 26.30% | 81% |
[26] | 66.66% | 20.28% | 46.37%% |
[27] | 23% | 12% | 10% |
No. | Reference | D1 | D2 | D3 | D4 | D5 | D6 | D7 |
---|---|---|---|---|---|---|---|---|
1 | Gómez-Polo, C. et al. (2022) [1] | |||||||
2 | Gómez-Polo, C. et al. (2021) [16] | |||||||
3 | Molina-Hernández, J. et al. (2021) [17] | |||||||
4 | Rey-Martinez, et al. (2023) [30] | |||||||
5 | Slabšinskienė, E. et al. (2020) [18] | |||||||
6 | Slabšinskienė, E. et al. (2021) [19] | |||||||
7 | Slabšinskienė, E. et al. (2021) [28] | |||||||
8 | Huri, M. et al. (2016) [31] | |||||||
9 | Eren, H. et al. (2016) [32] | |||||||
10 | Özarslan, M. et al. (2021) [34] | |||||||
11 | Ciğerim, L. et al. (2024) [35] | |||||||
12 | Jin, M.U. et al. (2015) [29] | |||||||
13 | Kwak, E.J. et al. (2021) [36] | |||||||
14 | Kwak, G.H. et al. (2024) [37] | |||||||
15 | Choy, H.B. et al. (2017) [38] | |||||||
16 | Lee, C.Y. et al. (2019) [39] | |||||||
17 | Na Nakorn, S. et al. (2022) [20] | |||||||
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Negucioiu, M.; Buduru, S.; Ghiz, S.; Kui, A.; Șoicu, S.; Buduru, R.; Sava, S. Prevalence and Management of Burnout Among Dental Professionals Before, During, and After the COVID-19 Pandemic: A Systematic Review. Healthcare 2024, 12, 2366. https://doi.org/10.3390/healthcare12232366
Negucioiu M, Buduru S, Ghiz S, Kui A, Șoicu S, Buduru R, Sava S. Prevalence and Management of Burnout Among Dental Professionals Before, During, and After the COVID-19 Pandemic: A Systematic Review. Healthcare. 2024; 12(23):2366. https://doi.org/10.3390/healthcare12232366
Chicago/Turabian StyleNegucioiu, Marius, Smaranda Buduru, Simina Ghiz, Andreea Kui, Sebastian Șoicu, Rareș Buduru, and Sorina Sava. 2024. "Prevalence and Management of Burnout Among Dental Professionals Before, During, and After the COVID-19 Pandemic: A Systematic Review" Healthcare 12, no. 23: 2366. https://doi.org/10.3390/healthcare12232366
APA StyleNegucioiu, M., Buduru, S., Ghiz, S., Kui, A., Șoicu, S., Buduru, R., & Sava, S. (2024). Prevalence and Management of Burnout Among Dental Professionals Before, During, and After the COVID-19 Pandemic: A Systematic Review. Healthcare, 12(23), 2366. https://doi.org/10.3390/healthcare12232366