Risk assessment of coronavirus disease 2019 among healthcare workers in Neyshabur, 2020
Background: Since the onset of coronavirus disease 2019 (COVID-19) in the world, healthcare workers have been exposed to this virus due to their important roles and responsibilities in the care and treatment of patients with COVID-19. In this regard, doing risk assessments in healthcare centres help...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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SAGE Publishing
2022-12-01
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| Series: | Proceedings of Singapore Healthcare |
| Online Access: | https://doi.org/10.1177/20101058211028854 |
| _version_ | 1811197796191043584 |
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| author | Seyed Morteza Shamshirgaran Nayyereh Aminisani Hamid Abasi Ensiyeh Mollanoroozy Masoud Mohammad Malekzadeh Hadi Fazel Ahmad Ghasemi Fatemeh khorashadizade Ghasem Moshar-Movahed Amir Sadegh Alimardani Ali Gholami |
| author_facet | Seyed Morteza Shamshirgaran Nayyereh Aminisani Hamid Abasi Ensiyeh Mollanoroozy Masoud Mohammad Malekzadeh Hadi Fazel Ahmad Ghasemi Fatemeh khorashadizade Ghasem Moshar-Movahed Amir Sadegh Alimardani Ali Gholami |
| author_sort | Seyed Morteza Shamshirgaran |
| collection | DOAJ |
| description | Background: Since the onset of coronavirus disease 2019 (COVID-19) in the world, healthcare workers have been exposed to this virus due to their important roles and responsibilities in the care and treatment of patients with COVID-19. In this regard, doing risk assessments in healthcare centres helps significantly to control and reduce COVID-19. Therefore, this study aimed to assess COVID-19 risk and its association with clinical symptoms among healthcare workers in Neyshabur. Methods: This cross-sectional study was conducted among 483 healthcare workers of Neyshabur medical centres in 2020. In order to collect the data, a checklist consisting of three sections of demographic variables, risk assessment and clinical symptoms was used. Statistical analyses were performed by using the STATA software version 14. The significance level was set at P <0.05. Results: The mean ± standard deviation age of the study population was 34.2 ± 8.4 years. Out of 483 participants, 55 (11.4%) were identified as high-risk exposure category, 52 (10.8%) as medium-risk category and 77 (15.9%) as low-risk category. According to multiple logistic regression models, it was observed that cough (odds ratio (OR)=2.2; P =0.001), running nose (OR=3.3; P <0.001), suffocation (OR=3.2; P <0.001), shivering (OR=3.4; P =0.001), nausea (OR=3.3; P =0.001), vomiting (OR=7.2; P =0.025), diarrhoea (OR=3.0; P =0.001), muscular pain (OR=2.1; P =0.005), joint pain (OR=2.2; P =0.005) and fatigue (OR=2.1; P =0.003) were significantly associated with risk assessment. Conclusions: The findings showed that more than one-fifth of studied healthcare workers were at high or medium-risk exposure of COVID-19. Cough and fatigue had the most frequencies in healthcare workers with high or medium-risk exposure, and also, vomiting and shivering had a stronger association with risk assessment status. |
| first_indexed | 2024-04-12T01:19:16Z |
| format | Article |
| id | doaj.art-ed5ed26f966840bfbde63ca06ad1f54f |
| institution | Directory Open Access Journal |
| issn | 2059-2329 |
| language | English |
| last_indexed | 2024-04-12T01:19:16Z |
| publishDate | 2022-12-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Proceedings of Singapore Healthcare |
| spelling | doaj.art-ed5ed26f966840bfbde63ca06ad1f54f2022-12-22T03:53:50ZengSAGE PublishingProceedings of Singapore Healthcare2059-23292022-12-013110.1177/20101058211028854Risk assessment of coronavirus disease 2019 among healthcare workers in Neyshabur, 2020Seyed Morteza Shamshirgaran0Nayyereh Aminisani1Hamid Abasi2Ensiyeh Mollanoroozy3Masoud Mohammad Malekzadeh4Hadi Fazel5Ahmad Ghasemi6Fatemeh khorashadizade7Ghasem Moshar-Movahed8Amir Sadegh Alimardani9Ali Gholami10Healthy Ageing Research Center, Neyshabur University of Medical Sciences, Neyshabur, IranHealthy Ageing Research Center, Neyshabur University of Medical Sciences, Neyshabur, IranPublic Health Department, Neyshabur University of Medical Sciences, Neyshabur, IranNon-communicable Diseases Research Center, Neyshabur University of Medical Sciences, Neyshabur, IranDigestive Disease Research Center, Tehran University of Medical Sciences, IranBasic Sciences Department, Neyshabur University of Medical Sciences, Tehran, IranHealthy Ageing Research Center, Neyshabur University of Medical Sciences, Neyshabur, IranEpidemiology and Biostatistics Department, Neyshabur University of Medical Sciences, Neyshabur, Iran22 Bahman Teaching Hospital, Neyshabur University of Medical Sciences, Neyshabur, Neyshabur, Iran22 Bahman Teaching Hospital, Neyshabur University of Medical Sciences, Neyshabur, Neyshabur, IranEpidemiology and Biostatistics Department, Neyshabur University of Medical Sciences, Neyshabur, IranBackground: Since the onset of coronavirus disease 2019 (COVID-19) in the world, healthcare workers have been exposed to this virus due to their important roles and responsibilities in the care and treatment of patients with COVID-19. In this regard, doing risk assessments in healthcare centres helps significantly to control and reduce COVID-19. Therefore, this study aimed to assess COVID-19 risk and its association with clinical symptoms among healthcare workers in Neyshabur. Methods: This cross-sectional study was conducted among 483 healthcare workers of Neyshabur medical centres in 2020. In order to collect the data, a checklist consisting of three sections of demographic variables, risk assessment and clinical symptoms was used. Statistical analyses were performed by using the STATA software version 14. The significance level was set at P <0.05. Results: The mean ± standard deviation age of the study population was 34.2 ± 8.4 years. Out of 483 participants, 55 (11.4%) were identified as high-risk exposure category, 52 (10.8%) as medium-risk category and 77 (15.9%) as low-risk category. According to multiple logistic regression models, it was observed that cough (odds ratio (OR)=2.2; P =0.001), running nose (OR=3.3; P <0.001), suffocation (OR=3.2; P <0.001), shivering (OR=3.4; P =0.001), nausea (OR=3.3; P =0.001), vomiting (OR=7.2; P =0.025), diarrhoea (OR=3.0; P =0.001), muscular pain (OR=2.1; P =0.005), joint pain (OR=2.2; P =0.005) and fatigue (OR=2.1; P =0.003) were significantly associated with risk assessment. Conclusions: The findings showed that more than one-fifth of studied healthcare workers were at high or medium-risk exposure of COVID-19. Cough and fatigue had the most frequencies in healthcare workers with high or medium-risk exposure, and also, vomiting and shivering had a stronger association with risk assessment status.https://doi.org/10.1177/20101058211028854 |
| spellingShingle | Seyed Morteza Shamshirgaran Nayyereh Aminisani Hamid Abasi Ensiyeh Mollanoroozy Masoud Mohammad Malekzadeh Hadi Fazel Ahmad Ghasemi Fatemeh khorashadizade Ghasem Moshar-Movahed Amir Sadegh Alimardani Ali Gholami Risk assessment of coronavirus disease 2019 among healthcare workers in Neyshabur, 2020 Proceedings of Singapore Healthcare |
| title | Risk assessment of coronavirus disease 2019 among healthcare workers in Neyshabur, 2020 |
| title_full | Risk assessment of coronavirus disease 2019 among healthcare workers in Neyshabur, 2020 |
| title_fullStr | Risk assessment of coronavirus disease 2019 among healthcare workers in Neyshabur, 2020 |
| title_full_unstemmed | Risk assessment of coronavirus disease 2019 among healthcare workers in Neyshabur, 2020 |
| title_short | Risk assessment of coronavirus disease 2019 among healthcare workers in Neyshabur, 2020 |
| title_sort | risk assessment of coronavirus disease 2019 among healthcare workers in neyshabur 2020 |
| url | https://doi.org/10.1177/20101058211028854 |
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