Prevalence and associated factors of mental health outcomes among healthcare workers in Northern Colombia: A cross-sectional and multi-centre study

Guillén-Burgos, Hernan Felipe; Gomez-Ureche, Janitza; Renowitzky, Carlos; Acevedo-Vergara, Kaleb; Pérez-Florez, Manuel; Villalba, Elizabeth; Escaf, Jorge; Maloof, Dieb; Torrenegra, Riguey; Medina, Patricia; Dau, Alberto; Salva, Silvia; Perez, Abdel; Tapia, Jesus; Salcedo, Soraya; Maestre‐Serrano, Ronald; Mattar, Salvador; Parra‐Saavedra, Miguel; Torres, José B.; Mesino, Cesar; Acosta, Nahir; Mora, Laura; Vega, Gabriel; Galvez-Florez, Juan Francisco

doi:10.1016/j.jadr.2022.100415

“…The prevalence of unfavourable mental health outcomes in our study is high compared to a similar study from another part of India where depression was reported among 47.4% of the HCWs, while anxiety and insomnia were seen among 29.0% and 32.2% of the participants respectively. 25 Similar studies conducted among the HCWs during the pandemic from different parts of the world have reported a prevalence of depression ranging from 8.9% to 77.2%, [7][8][9][10][11][12][26][27][28][29][30][31][32][33][34][35][36] anxiety 14.5% to 88%, [7][8][9][10][11][12][26][27][28][29][31][32][33][34][38][39][40][41] and insomnia 8.3% to 85.4%. 16,27,28,[30][31][32][33][34][35][36][37]…”

Section: Discussionmentioning

confidence: 99%

“…6 Recent literature from around the world have reported that frontline HCWs are at more risk of developing anxiety and depressive symptoms. [7][8][9]11,12,19 A systematic review and meta-analysis of 239 studies involving 2,71,319 subjects reported prevalence rates of anxiety and depressive symptoms of 42% and 33%, thereby providing evidence that HCWs are at increased risk of unfavourable mental health outcomes during the COVID-19 pandemic. 13 In India, HCWs involved in COVID-19 care were marginalized and stigmatized.…”

Section: Introductionmentioning

confidence: 99%

The COVID-19 pandemic and mental health outcomes – A cross-sectional study among health care workers in Coastal South India

Rekha

¹

,

Kumar²,

Hegde³

et al. 2022

F1000Res

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0

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Background: Frontline health care workers (HCWs) are at increased risk of developing unfavourable mental health outcomes and burnout, especially during the COVID-19 pandemic. Recognizing the early warning signs of mental distress is very important to ensure the provision of quality patient care. Methods: In this facility-based cross-sectional study, HCWs of the teaching hospitals affiliated to Kasturba Medical College, Mangalore were assessed regarding their mental health status using a semi-structured questionnaire. All doctors and nurses who were willing to participate from these teaching hospitals were included in the study. Data was collected over a period of four months (1st March -30th June 2021) till the required sample size was reached and analysed using IBM SPSS and expressed using mean (standard deviation), median (interquartile range), and proportions. Univariate analysis was done to identify the factors associated with mental health outcomes among the HCWs and the corresponding unadjusted odds ratio and 95% confidence interval were reported. Results: A total of 245 HCWs [52.2% (n=128) doctors and 47.8% (n=117) nurses] were included in our study. The proportion of participants with depressive symptoms, anxiety, and insomnia assessed using PHQ-9, GAD-7, and ISI-7 scales were 49% (n=119), 38% (n=93), and 42% (n=102) respectively. Depression, anxiety, and insomnia were more likely to be experienced by HCWs aged > 27 years, females, and involved in COVID-19 patient care. (p>0.05) Conclusions: Our findings that 38% of the examined HCWs had clinically relevant anxiety symptoms and 49% had clinically relevant depression symptoms draws attention to the importance of systematically tracking the mental health of HCWs during this ongoing pandemic. HCWs should monitor their stress reactions and seek appropriate help both on a personal and professional level. Appropriate workplace interventions including psychological support should be provided to HCWs, to ensure provision of uncompromised quality patient care.

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“…13 Recent literature from around the world have reported that frontline HCWs are at more risk of developing anxiety and depressive symptoms. [14][15][16][17][18][19] A systematic review and meta-analysis of 239 studies involving 2,71,319 subjects reported prevalence rates of anxiety and depressive symptoms of 42% and 33%, thereby providing evidence that HCWs are at increased risk of unfavourable mental health outcomes during the COVID-19 pandemic. 20 In India, HCWs involved in COVID-19 care were marginalized and stigmatized.…”

Section: Any Further Responses From the Reviewers Can Be Found At The...mentioning

confidence: 99%

“…The scores of 5, 10, and 15 represent cut points for mild, moderate and severe depression, respectively. The interpretation of the total scores obtained is as follows: Normal (0-4), mild depression (5-9), moderate depression (10)(11)(12)(13)(14), and severe depression (15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27).…”

Section: Data Collection Instrumentsmentioning

confidence: 99%

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The COVID-19 pandemic and mental health outcomes – A cross-sectional study among health care workers in Coastal South India

Rekha

¹

,

Kumar

²

,

Hegde

³

et al. 2022

F1000Res

0

View full text Add to dashboard Cite

Background: Frontline health care workers (HCWs) are at increased risk of developing unfavourable mental health outcomes and burnout, especially during the COVID-19 pandemic. Recognizing the early warning signs of mental distress is very important to ensure the provision of quality patient care. Methods: In this facility-based cross-sectional study, HCWs of the teaching hospitals affiliated to Kasturba Medical College, Mangalore were assessed regarding their mental health status using a semi-structured questionnaire. All doctors and nurses who were willing to participate from these teaching hospitals were included in the study. Data was collected over a period of four months (1st March -30th June 2021) till the required sample size was reached and analysed using IBM SPSS and expressed using mean (standard deviation), median (interquartile range), and proportions. Univariate analysis was done to identify the factors associated with mental health outcomes among the HCWs and the corresponding unadjusted odds ratio and 95% confidence interval were reported. Results: A total of 245 HCWs [52.2% (n=128) doctors and 47.8% (n=117) nurses] were included in our study. The proportion of participants with depressive symptoms, anxiety, and insomnia assessed using PHQ-9, GAD-7, and ISI-7 scales were 49% (n=119), 38% (n=93), and 42% (n=102) respectively. Depression, anxiety, and insomnia were more likely to be experienced by HCWs aged > 27 years, females, and involved in COVID-19 patient care. (p>0.05) Conclusions: Our findings that 38% of the examined HCWs had clinically relevant anxiety symptoms and 49% had clinically relevant depression symptoms draws attention to the importance of systematically tracking the mental health of HCWs during this ongoing pandemic. HCWs should monitor their stress reactions and seek appropriate help both on a personal and professional level. Appropriate workplace interventions including psychological support should be provided to HCWs, to ensure provision of uncompromised quality patient care.

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A Comparative Study of Artificial Intelligence Applications in the Healthcare Sector

Ajoor,

Al Mubarak

2023

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Prevalence and associated factors of mental health outcomes among healthcare workers in Northern Colombia: A cross-sectional and multi-centre study

Cited by 10 publications

References 47 publications

The COVID-19 pandemic and mental health outcomes – A cross-sectional study among health care workers in Coastal South India

The COVID-19 pandemic and mental health outcomes – A cross-sectional study among health care workers in Coastal South India

The COVID-19 pandemic and mental health outcomes – A cross-sectional study among health care workers in Coastal South India

A Comparative Study of Artificial Intelligence Applications in the Healthcare Sector

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