Evaluation of Burnout among Medical Officers and Dental Surgeons in State Health Services using Maslach’s Burnout Inventory during COVID-19: A Cross Sectional Study Article Swipe
Bhavna Sabbarwal
,
Ritu Phogat
,
Shubhi Goel
,
Abhinav Bhargava
,
Adarsh Kumar
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.4103/jispcd.jispcd_153_23
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.4103/jispcd.jispcd_153_23
A bstract Introduction: The Coronavirus disease 2019 (COVID-19) pandemic became a worldwide public health crisis. It leads to raised levels of burnout and anxiety among the people of the medical and dental fraternity, especially those involved in various duties related to COVID-19. The present research focused on evaluating the prevalence and predictors of burnout among medical officers and dental surgeons in Haryana’s state dental health services. Materials and Methods: A cross-sectional study was conducted to assess burnout among medical officers and dental surgeons involved in COVID-19-related duties in state health services. Maslach’s burnout scale was used to evaluate burnout. It is a prevalidated and self-administered questionnaire with three domains, that is, emotional exhaustion (EE), personal accomplishment (PA) assessment, and depersonalization (DP). The Chi square test, Student’s t test (unpaired), and analysis of variance (ANOVA) with post hoc analysis were done wherever applicable. Pearson’s correlation analysis was used to check the relationship among EE, DP, and PA. Results: A total of 200 study participants responded to the online survey. Nearly half of them (51%) were aged 25–34 years. The majority had service experience of up to 20 years (90%). Almost three-fourths (72%) of study participants performed duties for >8 h a day. Up to 86% reported that the second wave of COVID-19 caused increased burnout. Moderate-to-high degrees of occupational exhaustion (OE) and DP were reported among approximately 42% of study participants. Medical officers were reported to have statistically significantly higher levels of burnout compared to dental surgeons ( P < 0.05). Conclusion: Moderate levels of burnout were reported among half of the study participants, suggestive of the need to address the issues related to mental health of healthcare providers.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.4103/jispcd.jispcd_153_23
- OA Status
- green
- Cited By
- 1
- References
- 26
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4401934046
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4401934046Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.4103/jispcd.jispcd_153_23Digital Object Identifier
- Title
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Evaluation of Burnout among Medical Officers and Dental Surgeons in State Health Services using Maslach’s Burnout Inventory during COVID-19: A Cross Sectional StudyWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-07-01Full publication date if available
- Authors
-
Bhavna Sabbarwal, Ritu Phogat, Shubhi Goel, Abhinav Bhargava, Adarsh KumarList of authors in order
- Landing page
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https://doi.org/10.4103/jispcd.jispcd_153_23Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://www.ncbi.nlm.nih.gov/pmc/articles/11458093Direct OA link when available
- Concepts
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Burnout, Emotional exhaustion, Depersonalization, Cross-sectional study, Medicine, Anxiety, Clinical psychology, Family medicine, Psychology, Psychiatry, PathologyTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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26Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.to | 17, 40, 74, 96, 147, 164, 184, 202, 234, 243, 267, 272 |
| abstract_inverted_index.up | 183 |
| abstract_inverted_index.200 | 160 |
| abstract_inverted_index.42% | 226 |
| abstract_inverted_index.86% | 203 |
| abstract_inverted_index.Chi | 122 |
| abstract_inverted_index.DP, | 153 |
| abstract_inverted_index.EE, | 152 |
| abstract_inverted_index.PA. | 155 |
| abstract_inverted_index.The | 3, 42, 121, 177 |
| abstract_inverted_index.and | 22, 30, 50, 57, 67, 80, 103, 118, 129, 154, 220 |
| abstract_inverted_index.for | 196 |
| abstract_inverted_index.had | 179 |
| abstract_inverted_index.hoc | 136 |
| abstract_inverted_index.is, | 110 |
| abstract_inverted_index.the | 25, 28, 48, 149, 165, 206, 260, 265, 269 |
| abstract_inverted_index.was | 72, 94, 145 |
| abstract_inverted_index.< | 248 |
| abstract_inverted_index.(OE) | 219 |
| abstract_inverted_index.(PA) | 116 |
| abstract_inverted_index.2019 | 6 |
| abstract_inverted_index.aged | 174 |
| abstract_inverted_index.day. | 200 |
| abstract_inverted_index.done | 139 |
| abstract_inverted_index.half | 169, 258 |
| abstract_inverted_index.have | 235 |
| abstract_inverted_index.need | 266 |
| abstract_inverted_index.post | 135 |
| abstract_inverted_index.test | 127 |
| abstract_inverted_index.that | 109, 205 |
| abstract_inverted_index.them | 171 |
| abstract_inverted_index.used | 95, 146 |
| abstract_inverted_index.wave | 208 |
| abstract_inverted_index.were | 138, 173, 222, 232, 255 |
| abstract_inverted_index.with | 106, 134 |
| abstract_inverted_index.>8 | 197 |
| abstract_inverted_index.(51%) | 172 |
| abstract_inverted_index.(72%) | 190 |
| abstract_inverted_index.(DP). | 120 |
| abstract_inverted_index.(EE), | 113 |
| abstract_inverted_index.among | 24, 54, 77, 151, 224, 257 |
| abstract_inverted_index.check | 148 |
| abstract_inverted_index.leads | 16 |
| abstract_inverted_index.scale | 93 |
| abstract_inverted_index.state | 62, 88 |
| abstract_inverted_index.study | 71, 161, 192, 228, 261 |
| abstract_inverted_index.test, | 124 |
| abstract_inverted_index.those | 34 |
| abstract_inverted_index.three | 107 |
| abstract_inverted_index.total | 158 |
| abstract_inverted_index.years | 186 |
| abstract_inverted_index.(90%). | 187 |
| abstract_inverted_index.0.05). | 249 |
| abstract_inverted_index.Almost | 188 |
| abstract_inverted_index.Nearly | 168 |
| abstract_inverted_index.assess | 75 |
| abstract_inverted_index.became | 9 |
| abstract_inverted_index.caused | 211 |
| abstract_inverted_index.dental | 31, 58, 63, 81, 244 |
| abstract_inverted_index.duties | 38, 86, 195 |
| abstract_inverted_index.health | 13, 64, 89, 274 |
| abstract_inverted_index.higher | 238 |
| abstract_inverted_index.issues | 270 |
| abstract_inverted_index.levels | 19, 239, 252 |
| abstract_inverted_index.mental | 273 |
| abstract_inverted_index.online | 166 |
| abstract_inverted_index.people | 26 |
| abstract_inverted_index.public | 12 |
| abstract_inverted_index.raised | 18 |
| abstract_inverted_index.second | 207 |
| abstract_inverted_index.square | 123 |
| abstract_inverted_index.years. | 176 |
| abstract_inverted_index.(ANOVA) | 133 |
| abstract_inverted_index.25–34 | 175 |
| abstract_inverted_index.Medical | 230 |
| abstract_inverted_index.address | 268 |
| abstract_inverted_index.anxiety | 23 |
| abstract_inverted_index.bstract | 1 |
| abstract_inverted_index.burnout | 21, 53, 76, 92, 241, 254 |
| abstract_inverted_index.crisis. | 14 |
| abstract_inverted_index.degrees | 215 |
| abstract_inverted_index.disease | 5 |
| abstract_inverted_index.focused | 45 |
| abstract_inverted_index.medical | 29, 55, 78 |
| abstract_inverted_index.present | 43 |
| abstract_inverted_index.related | 39, 271 |
| abstract_inverted_index.service | 180 |
| abstract_inverted_index.survey. | 167 |
| abstract_inverted_index.various | 37 |
| abstract_inverted_index.COVID-19 | 210 |
| abstract_inverted_index.Methods: | 68 |
| abstract_inverted_index.Moderate | 251 |
| abstract_inverted_index.Results: | 156 |
| abstract_inverted_index.analysis | 130, 137, 144 |
| abstract_inverted_index.burnout. | 98, 213 |
| abstract_inverted_index.compared | 242 |
| abstract_inverted_index.domains, | 108 |
| abstract_inverted_index.evaluate | 97 |
| abstract_inverted_index.involved | 35, 83 |
| abstract_inverted_index.majority | 178 |
| abstract_inverted_index.officers | 56, 79, 231 |
| abstract_inverted_index.pandemic | 8 |
| abstract_inverted_index.personal | 114 |
| abstract_inverted_index.reported | 204, 223, 233, 256 |
| abstract_inverted_index.research | 44 |
| abstract_inverted_index.surgeons | 59, 82, 245 |
| abstract_inverted_index.variance | 132 |
| abstract_inverted_index.wherever | 140 |
| abstract_inverted_index.COVID-19. | 41 |
| abstract_inverted_index.Materials | 66 |
| abstract_inverted_index.conducted | 73 |
| abstract_inverted_index.emotional | 111 |
| abstract_inverted_index.increased | 212 |
| abstract_inverted_index.performed | 194 |
| abstract_inverted_index.responded | 163 |
| abstract_inverted_index.services. | 65, 90 |
| abstract_inverted_index.worldwide | 11 |
| abstract_inverted_index.(COVID-19) | 7 |
| abstract_inverted_index.especially | 33 |
| abstract_inverted_index.evaluating | 47 |
| abstract_inverted_index.exhaustion | 112, 218 |
| abstract_inverted_index.experience | 181 |
| abstract_inverted_index.healthcare | 276 |
| abstract_inverted_index.predictors | 51 |
| abstract_inverted_index.prevalence | 49 |
| abstract_inverted_index.providers. | 277 |
| abstract_inverted_index.suggestive | 263 |
| abstract_inverted_index.(unpaired), | 128 |
| abstract_inverted_index.Conclusion: | 250 |
| abstract_inverted_index.Coronavirus | 4 |
| abstract_inverted_index.Haryana’s | 61 |
| abstract_inverted_index.Maslach’s | 91 |
| abstract_inverted_index.Pearson’s | 142 |
| abstract_inverted_index.Student’s | 125 |
| abstract_inverted_index.applicable. | 141 |
| abstract_inverted_index.assessment, | 117 |
| abstract_inverted_index.correlation | 143 |
| abstract_inverted_index.fraternity, | 32 |
| abstract_inverted_index.occupational | 217 |
| abstract_inverted_index.participants | 162, 193 |
| abstract_inverted_index.prevalidated | 102 |
| abstract_inverted_index.relationship | 150 |
| abstract_inverted_index.Introduction: | 2 |
| abstract_inverted_index.approximately | 225 |
| abstract_inverted_index.participants, | 262 |
| abstract_inverted_index.participants. | 229 |
| abstract_inverted_index.questionnaire | 105 |
| abstract_inverted_index.significantly | 237 |
| abstract_inverted_index.statistically | 236 |
| abstract_inverted_index.three-fourths | 189 |
| abstract_inverted_index.accomplishment | 115 |
| abstract_inverted_index.cross-sectional | 70 |
| abstract_inverted_index.COVID-19-related | 85 |
| abstract_inverted_index.Moderate-to-high | 214 |
| abstract_inverted_index.depersonalization | 119 |
| abstract_inverted_index.self-administered | 104 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 5 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.8299999833106995 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.80348751 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |