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. 2021 Jan:10:100177.
doi: 10.1016/j.bbih.2020.100177. Epub 2020 Nov 24.

Pandemics and pre-existing mental illness: A systematic review and meta-analysis

Affiliations

Pandemics and pre-existing mental illness: A systematic review and meta-analysis

Kishen Neelam et al. Brain Behav Immun Health. 2021 Jan.

Abstract

Introduction: Pandemics are known to affect mental health of the general population and various at-risk groups like healthcare workers, students and people with chronic medical diseases. However, not much is known of the mental health of people with pre-existing mental illness during a pandemic. This systematic review and meta-analysis investigates, whether people with pre-existing mental illness experience an increase in mental health symptoms and experience more hospitalizations during a pandemic.

Materials and methods: A systematic search was conducted in the EMBASE, OVID-MEDLINE and PsycINFO databases to identify potentially eligible studies. Data were extracted independently and continuous data were used in calculating pooled effect sizes of standardized mean difference (SMD) using the random-effects model.

Results: Of 1791 records reviewed 15 studies were included. People with pre-existing mental illness have significantly higher psychiatric symptoms, anxiety symptoms and depressive symptoms compared to controls during a pandemic with pooled effect sizes (SMD) of 0.593 (95% confidence interval (CI) 0.46 to 0.72), 0.616 (95% CI 0.49 to 0.73) and 0.597 (95% CI 0.38 to 0.80) respectively. Studies also found a reduction in psychiatric hospitalizations and utilization of psychiatric services during pandemics.

Conclusion: The review highlights the need for mental health services to address the increased mental health symptoms in people with pre-existing mental illnesses during a pandemic. Future research should focus on better designed controlled studies of discrete illness groups, so as to provide a robust basis for policy makers to plan appropriate level of support and care for people with mental illness during a pandemic.

Keywords: Anxiety; COVID-19; Mental health; Pandemic; Review.

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Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
PRIMSA Flow diagram of review.
Fig. 2
Fig. 2
1) Forest plot of standardized mean difference for combined psychiatric symptoms in controls and people with pre-existing mental illness (includes data from rating scales assessing insomnia, stress, PTSD, anxiety, depression and psychotic symptoms-see Table 2), tau-squared of 0.011.2) Forest plot of standardized mean difference for Anxiety symptoms in controls and people with pre-existing mental illness (combined in Iancu et al., 2005 includes data of Modified Spielberg Anxiety scale and SARS anxiety, combined in Ozdin and Ozdin, 2020 includes data from Health Anxiety Inventory and anxiety scores from Hamilton Anxiety and Depression Scale), tau-squared 0.007.3) Forest plot of standardized mean difference for depressive symptoms in controls and people with pre-existing mental illness, tau-squared 0.05. Red diamond marker indicates pooled effect size of standardized mean difference (SMD), black square marker indicates computed individual study SMD, and line across square marker indicates 95% confidence interval (CI). GAD-2 – Generalized Anxiety Disorder 2, DASS-21 – Depression, Anxiety, Stress Scale, K-10 – Kessler Psychological Distress Scale, and HADS – Hamilton Depression Rating scale. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)

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