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Burnout in health care workers during the fourth wave of COVID-19: A cross sectional study from Pakistan.
Ahmad, Shoaib; Yaqoob, Sadia; Safdar, Sifwa; Cheema, Huzaifa Ahmad; Islam, Zarmina; Iqbal, Nida; Tharwani, Zoaib Habib; Swed, Sarya; Ijaz, Mohammad Soban; Rehman, Majeeb Ur; Shahid, Abia; Tahir, Ufaq; Ahmad, Shkaib; Bilal, Wajeeha; Essar, Mohammad Yasir; Iqbal, Saleem; Choudry, Zafar Ali.
  • Ahmad S; Punjab Medical College, Faisalabad, Pakistan.
  • Yaqoob S; DHQ Teaching Hospital, Faisalabad, Pakistan.
  • Safdar S; Jinnah Medical and Dental College, Pakistan.
  • Cheema HA; Allama Iqbal Medical College, Lahore, Pakistan.
  • Islam Z; Department of Medicine, King Edward Medical University, Lahore, Pakistan.
  • Iqbal N; Faculty of Medicine, Dow Medical College, Dow University of Health Sciences, Pakistan.
  • Tharwani ZH; Mohtarma Benazir Bhutto Shaheed Medical College, Mirpur AJK, Pakistan.
  • Swed S; Faculty of Medicine, Dow Medical College, Dow University of Health Sciences, Pakistan.
  • Ijaz MS; Faculty of Medicine, Aleppo University, Aleppo, Syria.
  • Rehman MU; Punjab Medical College, Faisalabad, Pakistan.
  • Shahid A; Punjab Medical College, Faisalabad, Pakistan.
  • Tahir U; Department of Medicine, King Edward Medical University, Lahore, Pakistan.
  • Ahmad S; J.S.S. Medical College, Mysore, India.
  • Bilal W; Dera Ghazi Khan Medical College, DG Khan, Pakistan.
  • Essar MY; Faculty of Medicine, Dow Medical College, Dow University of Health Sciences, Pakistan.
  • Iqbal S; Kabul University of Medical Sciences, Kabul, Afghanistan.
  • Choudry ZA; Department of Surgery, Allied Hospital Faisalabad, Pakistan.
Ann Med Surg (Lond) ; 80: 104326, 2022 Aug.
Article en En | MEDLINE | ID: mdl-35958288
ABSTRACT

Objective:

To assess the burnout among the healthcare workers during the fourth wave of COVID-19.

Methods:

In this cross-sectional study, burn out was measured in health care professionals using the MBI scale inventory during the fourth wave of COVID-19. Age, gender, marital status, having children, hospital, job type, experience, and workload, as well as the severity of burnout in each subscale, were all measured. We used the chi-square test to detect the difference between the level of burnout and other demographic variables, and a multiple logistic regression test was used to define the predicted correlation between the high level of burnout and the risk factors. Odds ratios and corresponding 95% confidence intervals (CI) were reported. A p-value of less than 0.05 indicated a statistically significant outcome.

Results:

Out of 776 healthcare workers who participated in our study, 468 (63.2%), 161 (21.7%) and 112 (15.1%) participants experienced low, moderate and high levels of emotional exhaustion, respectively. For the depersonalization subscale, 358 (48.3%), 188 (25.4%) and 195 (26.3%) people suffered from low, moderate, and high levels of depersonalization, respectively while 649 (87.6%), 40 (5.4%) and 52 (7.0%) respondents had low, moderate and high levels in the personal accomplishment subscale, respectively.

Conclusion:

During the fourth wave of COVID-19, the healthcare workers reported increased level of burnout overall possibly due to the long term physical and mental impacts that the pandemic has had over the time. Moreover, healthcare workers in Pakistan were more prone to burnout as compared to other countries.

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Idioma: En Año: 2022 Tipo del documento: Article