| Literature DB >> 35455893 |
Abstract
The COVID-19 pandemic and its resulting social restrictions have significant implications for mental health. The objective of this study was to determine the monthly trends and types of patients experiencing a mental health crisis (MHC) who used emergency medical services (EMSs) before and during the COVID-19 pandemic. A retrospective observational study was conducted using EMS data. During the study period, 8577 patients used EMSs for MHCs. EMS dispatches for MHCs and suicide completion after the COVID-19 pandemic were decreased by 12.4% and 12.7%, respectively, compared to those before the COVID-19 pandemic. Segmented regression analysis found that the number of patients per month was 6.79 before the COVID-19 pandemic. The number decreased to 4.52 patients per month during the COVID-19 pandemic, although the decrease was not statistically significant. The monthly number of patients experiencing an MHC decreased during strict social distancing measures but increased during relaxed social distancing measures. The percentage of hanging increased from 14.20% before the COVID-19 pandemic to 14.30% (p = 0.03) during the COVID-19 pandemic, whereas the percentages of jumping (from 15.55% to 15.28%, p = 0.01) and self-harm by smoke (from 4.59% to 3.84%, p < 0.001) during the COVID-19 pandemic were decreased compared to those before COVID-19. However, the effect size for the above findings was small (below 0.20). More than 25% of the patients experiencing an MHC who used EMSs refused to transfer to the ED over both study periods (26.49% in the pre-COVID-19 period and 28.53% in the COVID-19 period). The COVID-19 pandemic and social restrictions seemed to have some effects on the use of EMSs by MHC patients. Hanging is mainly performed indoors and is not found easily if social distancing persists, and a patient experiencing an MHC who refuses to be transferred could potentially attempt suicide. Subsequent studies should be performed to determine whether these findings are temporary during the COVID-19 pandemic or whether they will show different aspects after the COVID-19 pandemic.Entities:
Keywords: COVID-19; emergency medical service; mental health; physical distancing
Year: 2022 PMID: 35455893 PMCID: PMC9024638 DOI: 10.3390/healthcare10040716
Source DB: PubMed Journal: Healthcare (Basel) ISSN: 2227-9032
Figure 1Flow chart of the study population.EMS, emergency medical service; MHC, mental health crisis; COVID-19, coronavirus disease-2019.
Figure 2Monthly trends in patients experiencing MHCs who used EMSs before and during the COVID-19 pandemic. MHC, mental health crisis; EMS, emergency medical service. The Y-axis on the left is the number of patients experiencing MHCs who used EMSs.
Parameter estimates, standard errors, and p values from the segmented regression models predicting the mean monthly number of patients experiencing MHCs who used EMSs.
| Coefficient | Standard Error | t-Statistic | ||
|---|---|---|---|---|
| Pre-COVID-19 intercept | 425.02 | 20.40 | 20.83 | <0.00 |
| Pre-COVID-19 slope | −6.80 | 2.77 | −2.45 | 0.02 |
| COVID-19 intercept change | 19.79 | 27.21 | 0.73 | 0.48 |
| COVID-19 slope change | 2.27 | 3.92 | 0.58 | 0.57 |
MHC, Mental health crisis; EMS, emergency medical service; COVID-19, coronavirus disease-2019.
Figure 3Comparison of the observed monthly trends in patients experiencing MHCs who used EMSs and the numbers expected by segmented regression analysis. The Y-axis on the left is the number of patients experiencing MHCs who used EMSs. The right Y-axis is the social distancing level (level 3 was the strictest). The blue dotted line is the observed number of patients. The orange dotted line was derived by segmented regression analysis. The breakpoint was March 2020. MHC, mental health crisis; EMS, emergency medical service.
Comparison of the types of patients experiencing MHCs who used EMSs before and during the COVID-19 pandemic.
| Pre-COVID-19 | COVID-19 | Effect Size, d | 95% CI | |||
|---|---|---|---|---|---|---|
|
| 152,747 | 136,883 | <0.00 | 0.01 | 0.01 | 0.02 |
| MHC dispatches | 4571 (2.99%) | 4006 (2.93%) | <0.00 | 0.07 | 0.03 | 0.11 |
| Age (mean ± SD) * | 46.51 ± 18.13 | 45.44 ± 18.63 | 0.01 | −0.06 | −0.10 | −0.01 |
| Sex (male) * | 2137 (54.3%) | 1800 (45.7%) | 0.03 | 0.05 | 0.01 | 0.09 |
|
| ||||||
| Hanging | 649 (14.20%) | 573 (14.30%) | 0.03 | 0.12 | 0.01 | 0.24 |
| Jumping | 711 (15.55%) | 612 (15.28%) | 0.01 | 0.14 | 0.03 | 0.25 |
| Self-poisoning by drugs | 1039 (22.73%) | 1030 (25.71%) | 0.84 | 0.01 | −0.08 | 0.10 |
| Self-poisoning by substances | 222 (4.86%) | 205 (5.12%) | 0.41 | 0.08 | −0.11 | 0.27 |
| Self-harm by smoke | 210 (4.59%) | 154 (3.84%) | <0.00 | 0.32 | 0.11 | 0.53 |
| Self-harm by a sharp object | 927 (20.28%) | 889 (22.19%) | 0.37 | 0.04 | −0.05 | 0.13 |
| Anxiety, panic attacks, and depressive mood | 488 (10.68%) | 427 (10.66%) | 0.04 | 0.13 | 0.00 | 0.26 |
| Others (nonidentified) | 325 (7.11%) | 116 (2.90%) | <0.00 | 0.36 | 0.15 | 0.57 |
|
| 608 (53.38%) | 531 (46.62%) | 0.02 | 0.14 | 0.02 | 0.25 |
| Hanging | 391 (64.31%) (60.25%) | 367 (69.11%) (64.05%) | 0.38 | 0.06 | −0.08 | 0.21 |
| Jumping | 106 (17.43%) (14.91%) | 84 (15.82%) (13.73%) | 0.11 | 0.23 | −0.05 | 0.52 |
| Self-poisoning by drugs | 2 (0.33%) (0.19%) | 5 (0.94%) (0.49%) | 0.26 | 1.07 | −0.66 | 2.80 |
| Self-poisoning by substances | 5 (0.82%) (2.25%) | 5 (0.94%) (2.44%) | 1.00 | 0.00 | −1.24 | 1.24 |
| Self-harm by smoke | 56 (9.21%) (26.67%) | 43 (8.10%) (27.92%) | 0.19 | 0.27 | −0.13 | 0.67 |
| Self-harm by a sharp object | 38 (6.25%) (4.10%) | 22 (4.14%) (2.47%) | 0.04 | 0.57 | 0.03 | 1.10 |
| Anxiety, panic attacks, and depressive mood | 0 (0.00%) (0.00%) | 0 (0.00%) (0.00%) | - | - | - | - |
| Others (nonidentified) | 10(1.64%) (3.08%) | 5 (0.94%) (4.31%) | 0.20 | 0.74 | −0.36 | 1.85 |
|
| 1211 (26.49%) | 1143 (28.53%) | 0.16 | 0.06 | −0.02 | 0.14 |
MHC, mental health crisis; EMS, emergency medical service; COVID-19, coronavirus disease-2019; SD, standard deviation; CI, confidence interval. Variables are presented as numbers (percentages) (mortality). * There were many missing age and sex data points. This result reflects the analysis excluding the missing data.