| Literature DB >> 34781152 |
Suhrith Bhattaram1, Varsha S Shinde2, Ishan Lamba3, Rebecca S Gladwin1, Kadainti Venkata Subbaraya Sharma4.
Abstract
IMPORTANCE: Considering the resurgence of COVID19 and the rapid spread of new and deadlier strains across the globe understanding the incidence and pattern of violence and self harm tendencies during this period might help in formulating better contingency plans for future lockdowns. A deeper look at the available data shows that there is a significant dearth of research into self-harm & violence during the COVID-19 pandemic.Entities:
Keywords: COVID-19; COVID-19 in India; COVID-19 lockdown self harm in India; Self harm; Violence
Mesh:
Year: 2021 PMID: 34781152 PMCID: PMC8574082 DOI: 10.1016/j.ajem.2021.11.008
Source DB: PubMed Journal: Am J Emerg Med ISSN: 0735-6757 Impact factor: 4.093
Fig. 1Classification algorithm for a cases of self harm or violence presenting to the ED.
Fig. 2Bar graph showing increase in case rate per 1000 ED admissions of self-harm and violence.
Comparison of ED admissions for violence and self harm between March 24 and June 30 (n = 99 days) in 2019 (pre-COVID-19 period) and 2020 (COVID-19 period).
| 2020 | 2019 | Absolute difference | Percent increase (%) | |
|---|---|---|---|---|
| ED Admissions | ||||
| Total ED Admissions | 12,238 | 8654 | 3584 | 41.41 |
| Self Harm Cases | ||||
| Total Cases | 102 | 64 | 38 | 59.37 |
| Case Rate per 1000 ED admissions | 8.33 | 7.39 | 0.94 | 12.71 |
| Violence Cases (A) | ||||
| Total Cases | 486 | 176 | 310 | 176.13 |
| Case Rate per 1000 ED admissions | 39.71 | 20.33 | 19.38 | 95.32 |
Demographic and clinical characteristics of patients presenting to the emergency department with self-harm in the 3 months of the 2020 COVID-19 lockdown compared with those presenting in the preceding year.
| Variables | Period 1 ( | Period 2 ( | |
|---|---|---|---|
| Sex | |||
| Male, n (%) | 63 (61.8) | 40 (62.5) | 0.924 |
| Female, n (%) | 39 (38.2) | 24 (37.5) | |
| Age, y | |||
| <20, n (%) | 26 (25.5) | 17 (26.6) | .302 |
| 21–40, n (%) | 64 (62.7) | 36 (56.3) | |
| 41–60, n (%) | 12 (11.8) | 9 (14.1) | |
| >61, n (%) | 0 (0) | 2 (3.1) | |
| Etiology | |||
| Consumption - Pharmaceutical agent | 14 (13.7) | 15 (23.4) | .166 |
| Consumption - Non-pharmaceutical agent | 57 (55.9) | 39 (60.9) | |
| Drowning | 2 (2.0) | 0 (0) | |
| Hanging | 8 (7.8) | 2 (3.1) | |
| Physical Laceration | 21 (20.6) | 8 (12.5) | |
| Disposition | |||
| Admission- ICU | 19 (18.6) | 7 (10.9) | |
| Admission - Ward | 7 (6.9) | 24 (37.5) | |
| Discharge | 12 (11.8) | 6 (9.4) | |
| Leave against medical advice | 59 (57.8) | 25 (39.1) | |
| Mortality | 5 (4.9) | 2 (3.1) | |
| Substance use and Psychiatric History | |||
| Alcohol Use | 39 (38.2) | 7 (10.9) | |
| Psychiatric History | 0 | 8 | |
Significant p values are bolded.
Chi-square test.
Demographic and clinical characteristics of patients presenting to the emergency department with violence in the 3 months of the 2020 COVID-19 lockdown compared with those presenting in the preceding year.
| Variables | Period 1 ( | Period 2 ( | |
|---|---|---|---|
| Sex | |||
| Male, n (%) | 343 (70.6) | 134 (76.1) | .158 |
| Female, n (%) | 143 (29.4) | 42 (23.9) | |
| Age, y | |||
| <20, n (%) | 72 (14.81) | 23 (13.0) | .616 |
| 21–40, n (%) | 303 (62.3) | 108 (61.4) | |
| 41–60, n (%) | 96 (19.8) | 36 (20.5) | |
| >61, n (%) | 15 (3.0) | 9 (5.1) | |
| Etiology | |||
| Blunt Weapon | 355 (73) | 130 (73.9) | |
| Sharp Weapon | 79 (16.3) | 16 (9.1) | |
| Manual | 49 (10.1) | 25 (14.2) | |
| Ligature | 1 (0.2) | 2 (1.1) | |
| Sexual Assault | 2 (0.4) | 3 (1.7) | |
| Assilant | |||
| Known | 379 (78) | 121 (68.8) | |
| Family | 39 (8) | 15 (8.4) | |
| Spouse | 34 (7) | 7 (4) | |
| Unknown | 34 (7) | 33 (18.8) | |
| Disposition | |||
| Admission- ICU | 0 (0) | 2 (1.1) | .056 |
| Admission - Ward | 19 (3.9) | 8 (4.5) | |
| Discharge | 414 (85.2) | 140 (79.5) | |
| Leave against medical advice | 44 (9.0) | 24 (13.6) | |
| Mortality | 9 (1.9) | 2 (1.1) | |
| Substance use and Psychiatric History | |||
| Alcohol Use | 209 (43) | 40 (22.7) | |
| Psychiatric History | 2 (0.4) | 2 (1.1) | .287 |
Significant p values are bolded.
Chi-square test.