| Literature DB >> 34866418 |
Natalie Seiler1, Matthew Ng1, Midya Dawud1, Subhash Das2, Shu-Haur Ooi1, Astrid Waterdrinker2.
Abstract
OBJECTIVE: The COVID-19 pandemic may cause a major mental health impact. We aimed to identify demographic or clinical factors associated with psychiatric admissions where COVID-19 was attributed to contribute to mental state, compared to admissions which did not.Entities:
Keywords: COVID; inpatient; mental health; natural disaster; pandemic
Mesh:
Year: 2021 PMID: 34866418 PMCID: PMC8990577 DOI: 10.1177/10398562211052903
Source DB: PubMed Journal: Australas Psychiatry ISSN: 1039-8562 Impact factor: 1.837
Demographic and Clinical Factors Associated with Inpatient Psychiatric Admission Due to the COVID-19 Pandemic
| Patients who did not report COVID-19 as contributing to poor mental health | Patients who reported COVID-19 as a stressor contributing to poor mental health | All patients | Odds ratio | ||
|---|---|---|---|---|---|
|
| |||||
| Age | |||||
| <25 years | 33 | 6 | 39 | 0.348 | |
| 25–49 years | 125 | 22 | 147 | ||
| ⩾50 years | 47 | 9 | 56 | ||
| Sex | |||||
| Male | 84 (34.7%) | 19 (7.9%) | 103 (42.6%) | 0.204 | 1.623 |
| Female | 121 (50.0%) | 17 (7.0%) | 138 (57.0%) | 0.629 | |
| Aboriginal or Torres Strait Islander | 1.455 | ||||
| Yes | 12 (5.0%) | 3 (1.2%) | 15 (6.2%) | 0.477 | |
| No | 192 (79.3%) | 33 (13.6%) | 225 (93.0%) | ||
| Country of birth | |||||
| Australia | 153 (63.2%) | 26 (10.7%) | 179 (74.0%) | 0.772 | |
| Born overseas | 50 (20.7%) | 11 (45.5%) | 61 (25.2%) | >0.05 | 1.269 |
| English speaking status | |||||
| English speaking | 200 (82.6%) | 36 (14.9%) | 236 (97.5%) | >0.05 | 0.9 |
| Non-English speaking | 5 (2.1%) | 1 (0.5%) | 6 (2.5%) | 1.11 | |
| Single | 150 (62.0%) | 29 (12.0%) | 179 (74.0%) | 0.684 | 1.547 |
| Living alone | 60 (24.8%) | 13 (5.4%) | 73 (30.2%) | 0.146 | 1.375 |
| Unemployed | 174 (72.0%) | 26 (10.7%) | 200 (82.6%) | 0.056 | 0.478 |
| Completed secondary education | |||||
| Yes | 72 (29.8%) | 16 (6.6%) | 83 (34.3%) | 0.126 | 2.083 |
| No | 75 (31.0%) | 8 (3.3%) | 88 (36.4%) | ||
| Unknown | 58 (24.0%) | 13 (5.4%) | 71 (29.3%) | ||
| Dependents | 54 (22.3%) | 8 (3.3%) | 62 (25.6%) | 0.683 | 0.804 |
| Homeless | 20 (83.0%) | 3 (1.2%) | 23 (9.5%) | 0.683 | 0.845 |
| Rural address | 7 (29.0%) | 1 (0.4%) | 8 (3.3%) | 1 | 0.81 |
|
| |||||
| Self-harm ideation | 39 (16.1%) | 12 (5.0%) | 51 (21.1%) | 0.080 | 2.141 |
| Self-harm | 18 (7.4%) | 5 (2.1%) | 23 (9.5%) | 0.364 | 1.685 |
| Suicidal ideation | 82 (33.9%) | 20 (8.3%) | 102 (42.1%) | 0.147 | 1.890 |
| Suicide attempt | 33 (13.6%) | 3 (1.2%) | 36 (14.9%) | 0.314 | 0.477 |
| Current drug use | |||||
| Tobacco | 79 (32.6%) | 6 (2.5%) | 85 (35.1%) |
|
|
| Cannabis | 75 (31.0%) | 9 (3.7%) | 84 (34.7%) | 0.190 | 0.582 |
| Alcohol | 54 (22.3%) | 8 (3.3%) | 62 (25.6%) | 0.683 | 0.804 |
| Methamphetamine | 51 (21.1%) | 4 (1.7%) | 55 (22.7%) | 0.086 | 0.380 |
| Opiates | 8 (3.3%) | 3 (1.2%) | 11 (4.5%) | 0.381 | 2.250 |
| Amphetamines | 4 (1.7%) | 0 (0.0%) | 4 (1.7%) | 1 | 0 |
| Benzodiazepines | 4 (1.7%) | 0 (0.0%) | 4 (1.7%) | 1 | 0 |
| Cocaine | 2 (0.8%) | 0 (0.0%) | 2 (0.8%) | 1 | 0 |
| Ecstasy | 3 (1.2%) | 0 (0.0%) | 3 (1.2%) | 1 | 0 |
| LSD | 2 (0.8%) | 0 (0.0%) | 2 (0.8%) | 1 | 0 |
| GHB | 2 (0.8%) | 0 (0.0%) | 2 (0.8%) | 1 | 0 |
| None | 58 (24.0%) | 16 (6.6%) | 74 (30.6%) | 0.082 | 2.041 |
| Medical comorbidity | 72 (29.8%) | 23 (9.5%) | 95 (39.3%) |
|
|
| Psychiatric multimorbidity | 102 (42.1%) | 22 (9.1%) | 124 (51.2%) |
|
|
| Trauma history | 53 (21.9%) | 14 (5.8%) | 67 (27.7%) | 0.162 | 1.837 |
| Family history of psychiatric disorder | |||||
| Yes | 62 (25.6%) | 9 (3.7%) | 71 (29.3%) | 0.443 | 3.194 |
| No | 22 (9.1%) | 1 (0.4%) | 23 (9.5%) | ||
| Unknown | 121 (50.0%) | 27 (11.2%) | 148 (61.2%) | ||
| Patient history of psychiatric disorder | 188 (77.7%) | 32 (13.2%) | 220 (90.9%) | 0.348 | 0.766 |
Primary Diagnoses of Psychiatric Inpatients During the COVID-19 Pandemic
| Primary diagnosis on discharge | Patients who did not report COVID-19 as contributing to poor mental health | Patients who reported COVID-19 as a stressor contributing to poor mental health | All patients ( |
|---|---|---|---|
| Schizophrenia | 59 (24.4%) | 9 (3.7%) | 68 (28%) |
| Schizoaffective disorder | 35 (14.6%) | 4 (1.7%) | 39 (16%) |
| Bipolar disorder | 21 (8.7%) | 5 (2.1%) | 26 (11%) |
| Situational crisis | 18 (7.4%) | 2 (0.8%) | 20 (8%) |
| Depression | 15 (6.2%) | 2 (0.8%) | 17 (7%) |
| Borderline personality disorder | 12 (5.0%) | 4 (1.7%) | 16 (7%) |
| First episode psychosis | 11 (4.5%) | 3 (1.2%) | 14 (6%) |
| Drug induced psychosis | 10 (4.1%) | 1 (0.4%) | 11 (5%) |
| Other psychotic disorders (psychosis not otherwise specified, brief psychotic disorder, delusional disorder, postpartum psychosis) | 9 (3.7%) | 1 (0.4%) | 10 (4%) |
| Other mental disorders (generalized anxiety disorder, general psychiatric assessment, acute stress reaction, cluster B traits, complex post-traumatic stress disorder, obsessive compulsive disorder, substance use disorder) | 9 (3.7%) | 1 (0.4%) | 10 (4%) |
| Adjustment disorder | 3 (1.2%) | 3 (1.2%) | 6 (2%) |
| Post-traumatic stress disorder | 4 (1.7%) | 1 (0.4%) | 5 (2%) |
| Total | 206 (85.1%) | 36 (14.9%) | 242 (100%) |
COVID-19 As A Contributor to Mental Ill Health and Psychiatric Inpatient Admission
|
|
|
|---|---|
| Social isolation | 12 |
| Generalized distress due to impact and implications of COVID-19 and restrictions | 12 |
| Barriers to accessing mental health and support services | 6 |
| Disruption to routine and daily activities | 6 |
| Adverse impact on private business or loss of employment due to COVID-19 | 6 |
| Overexposure of COVID-19 related media | 4 |
| Re-traumatization reaction | 3 |
| ECT sessions cancelled due to COVID-19 restrictions | 2 |
| Loss of loved ones impacted by COVID-19 | 1 |
| Increased drug use during COVID-19 lockdown | 1 |
Some participants reported multiple reasons, giving a total of >36.