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Insomnia and job stressors among healthcare workers who served COVID-19 patients in Bangladesh

BACKGROUND: The global outbreak of COVID-19 has created unprecedented havoc among health care workers, resulting in significant psychological strains like insomnia. This study aimed to analyze insomnia prevalence and job stressors among Bangladeshi health care workers in COVID-19 units. METHODOLOGY:...

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Autores principales: Rahman, Farzana, Dalal, Koustuv, Hasan, Mehedi, Islam, Tariful, Tuli, Samiha Nahar, Akter, Asma, Tanvir, K M, Islam, Khairul, Rahman, Ashikur, Nabi, Mohammad Hayatun, Rahman, Mohammad Lutfor, Hossain Hawlader, Mohammad Delwer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10204693/
https://www.ncbi.nlm.nih.gov/pubmed/37221591
http://dx.doi.org/10.1186/s12913-023-09464-x
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author Rahman, Farzana
Dalal, Koustuv
Hasan, Mehedi
Islam, Tariful
Tuli, Samiha Nahar
Akter, Asma
Tanvir, K M
Islam, Khairul
Rahman, Ashikur
Nabi, Mohammad Hayatun
Rahman, Mohammad Lutfor
Hossain Hawlader, Mohammad Delwer
author_facet Rahman, Farzana
Dalal, Koustuv
Hasan, Mehedi
Islam, Tariful
Tuli, Samiha Nahar
Akter, Asma
Tanvir, K M
Islam, Khairul
Rahman, Ashikur
Nabi, Mohammad Hayatun
Rahman, Mohammad Lutfor
Hossain Hawlader, Mohammad Delwer
author_sort Rahman, Farzana
collection PubMed
description BACKGROUND: The global outbreak of COVID-19 has created unprecedented havoc among health care workers, resulting in significant psychological strains like insomnia. This study aimed to analyze insomnia prevalence and job stressors among Bangladeshi health care workers in COVID-19 units. METHODOLOGY: We conducted this cross-sectional study to assess insomnia severity from January to March 2021 among 454 health care workers working in multiple hospitals in Dhaka city with active COVID-dedicated units. We selected 25 hospitals conveniently. We used a structured questionnaire for face-to-face interviews containing sociodemographic variables and job stressors. The severity of insomnia was measured by the Insomnia Severity Scale (ISS). The scale has seven items to evaluate the rate of insomnia, which was categorized as the absence of Insomnia (0–7); sub-threshold Insomnia (8–14); moderate clinical Insomnia (15–21); and severe clinical Insomnia (22–28). To identify clinical insomnia, a cut-off value of 15 was decided primarily. A cut-off score of 15 was initially proposed for identifying clinical insomnia. We performed a chi-square test and adjusted logistic regression to explore the association of different independent variables with clinically significant insomnia using the software SPSS version 25.0. RESULTS: 61.5% of our study participants were females. 44.9% were doctors, 33.9% were nurses, and 21.1% were other health care workers. Insomnia was more dominant among doctors and nurses (16.2% and 13.6%, respectively) than others (4.2%). We found clinically significant insomnia was associated with several job stressors (p < 0.05). In binary logistic regression, having sick leave (OR = 0.248, 95% CI = 0.116, 0.532) and being entitled to risk allowance (OR = 0.367, 95% CI = 0.124.1.081) showed lower odds of developing Insomnia. Previously diagnosed with COVID-19-positive health care workers had an OR of 2.596 (95% CI = 1.248, 5.399), pointing at negative experiences influencing insomnia. In addition, we observed that any training on risk and hazard increased the chances of suffering from Insomnia (OR = 1.923, 95% CI = 0.934, 3.958). CONCLUSION: It is evident from the findings that the volatile existence and ambiguity of COVID-19 have induced significant adverse psychological effects and subsequently directed our HCWs toward disturbed sleep and insomnia. The study recommends the imperativeness to formulate and implement collaborative interventions to help HCWs cope with this crisis and mitigate the mental stresses they experience during the pandemic.
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spelling pubmed-102046932023-05-25 Insomnia and job stressors among healthcare workers who served COVID-19 patients in Bangladesh Rahman, Farzana Dalal, Koustuv Hasan, Mehedi Islam, Tariful Tuli, Samiha Nahar Akter, Asma Tanvir, K M Islam, Khairul Rahman, Ashikur Nabi, Mohammad Hayatun Rahman, Mohammad Lutfor Hossain Hawlader, Mohammad Delwer BMC Health Serv Res Research BACKGROUND: The global outbreak of COVID-19 has created unprecedented havoc among health care workers, resulting in significant psychological strains like insomnia. This study aimed to analyze insomnia prevalence and job stressors among Bangladeshi health care workers in COVID-19 units. METHODOLOGY: We conducted this cross-sectional study to assess insomnia severity from January to March 2021 among 454 health care workers working in multiple hospitals in Dhaka city with active COVID-dedicated units. We selected 25 hospitals conveniently. We used a structured questionnaire for face-to-face interviews containing sociodemographic variables and job stressors. The severity of insomnia was measured by the Insomnia Severity Scale (ISS). The scale has seven items to evaluate the rate of insomnia, which was categorized as the absence of Insomnia (0–7); sub-threshold Insomnia (8–14); moderate clinical Insomnia (15–21); and severe clinical Insomnia (22–28). To identify clinical insomnia, a cut-off value of 15 was decided primarily. A cut-off score of 15 was initially proposed for identifying clinical insomnia. We performed a chi-square test and adjusted logistic regression to explore the association of different independent variables with clinically significant insomnia using the software SPSS version 25.0. RESULTS: 61.5% of our study participants were females. 44.9% were doctors, 33.9% were nurses, and 21.1% were other health care workers. Insomnia was more dominant among doctors and nurses (16.2% and 13.6%, respectively) than others (4.2%). We found clinically significant insomnia was associated with several job stressors (p < 0.05). In binary logistic regression, having sick leave (OR = 0.248, 95% CI = 0.116, 0.532) and being entitled to risk allowance (OR = 0.367, 95% CI = 0.124.1.081) showed lower odds of developing Insomnia. Previously diagnosed with COVID-19-positive health care workers had an OR of 2.596 (95% CI = 1.248, 5.399), pointing at negative experiences influencing insomnia. In addition, we observed that any training on risk and hazard increased the chances of suffering from Insomnia (OR = 1.923, 95% CI = 0.934, 3.958). CONCLUSION: It is evident from the findings that the volatile existence and ambiguity of COVID-19 have induced significant adverse psychological effects and subsequently directed our HCWs toward disturbed sleep and insomnia. The study recommends the imperativeness to formulate and implement collaborative interventions to help HCWs cope with this crisis and mitigate the mental stresses they experience during the pandemic. BioMed Central 2023-05-23 /pmc/articles/PMC10204693/ /pubmed/37221591 http://dx.doi.org/10.1186/s12913-023-09464-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Rahman, Farzana
Dalal, Koustuv
Hasan, Mehedi
Islam, Tariful
Tuli, Samiha Nahar
Akter, Asma
Tanvir, K M
Islam, Khairul
Rahman, Ashikur
Nabi, Mohammad Hayatun
Rahman, Mohammad Lutfor
Hossain Hawlader, Mohammad Delwer
Insomnia and job stressors among healthcare workers who served COVID-19 patients in Bangladesh
title Insomnia and job stressors among healthcare workers who served COVID-19 patients in Bangladesh
title_full Insomnia and job stressors among healthcare workers who served COVID-19 patients in Bangladesh
title_fullStr Insomnia and job stressors among healthcare workers who served COVID-19 patients in Bangladesh
title_full_unstemmed Insomnia and job stressors among healthcare workers who served COVID-19 patients in Bangladesh
title_short Insomnia and job stressors among healthcare workers who served COVID-19 patients in Bangladesh
title_sort insomnia and job stressors among healthcare workers who served covid-19 patients in bangladesh
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10204693/
https://www.ncbi.nlm.nih.gov/pubmed/37221591
http://dx.doi.org/10.1186/s12913-023-09464-x
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