| Literature DB >> 32771661 |
M Aragona1, A Barbato2, A Cavani2, G Costanzo2, C Mirisola2.
Abstract
OBJECTIVES: Lockdown measures in response to the coronavirus disease 2019 (COVID-19) pandemic can have serious mental health effects on the population, especially in vulnerable groups, such as those living in poor socio-economic conditions, those who are homeless, migrant workers and asylum seekers/refugees. In addition, these vulnerable groups frequently have greater difficulty accessing health services and in treatment adherence. The aim of this study is to estimate the impact of the COVID-19-related lockdown on service utilisation and follow-up adherence in an Italian mental health outpatient service for migrants and individuals in socio-economic difficulties. STUDYEntities:
Keywords: Coronavirus; Homeless; Immigrants; Mental health; Refugees; Service utilisation
Mesh:
Year: 2020 PMID: 32771661 PMCID: PMC7409736 DOI: 10.1016/j.puhe.2020.06.055
Source DB: PubMed Journal: Public Health ISSN: 0033-3506 Impact factor: 2.427
Characteristics of patients who visited the mental health outpatient service in February 2017–2020.
| Characteristic | Year | |||
|---|---|---|---|---|
| 2017 | 2018 | 2019 | 2020 | |
| No. of patient visits in February | 45 | 55 | 89 | 97 |
| Age in years (mean ± SD) | 33.58 (±10.57) | 38.55 (±14.94) | 36.11 (±13.24) | 39.61 (±13.57) |
| Women [n (%)] | 14 (31.11%) | 13 (23.64%) | 17 (19.10%) | 27 (27.84%) |
| Geopolitical area of provenance [n (%)] | ||||
| Western/Central Africa | 21 (46.67%) | 21 (38.18%) | 47 (52.81%) | 33 (34.02%) |
| South/Central Asia | 6 (13.33%) | 4 (7.27%) | 1 (1.12%) | 11 (11.34%) |
| East Africa | 5 (11.11%) | 2 (3.64%) | 4 (4.49%) | 6 (6.19%) |
| Europe | 4 (8.89%) | 13 (23.64%) | 4 (4.49%) | 18 (18.56%) |
| Italy | 3 (6.67%) | 4 (7.27%) | 9 (10.11%) | 5 (5.15%) |
| South/Central America | 3 (6.67%) | 2 (3.64%) | 10 (11.24%) | 11 (11.34%) |
| East Asia | 2 (4.44%) | 1 (1.82%) | 1 (1.12%) | 0 (0%) |
| Middle East | 1 (2.22%) | 1 (1.82%) | 5 (5.62%) | 7 (7.22%) |
| North Africa | 0 (0%) | 7 (12.73%) | 8 (8.99%) | 6 (6.19%) |
| Diagnosis [n (%)] | ||||
| PTSD | 11 (24.44%) | 12 (21.82%) | 28 (31.46%) | 29 (29.90%) |
| Psychosis | 7 (15.56%) | 8 (14.55%) | 19 (21.35%) | 9 (9.28%) |
| Depression | 5 (11.11%) | 13 (23.64%) | 10 (11.24%) | 20 (20.62%) |
| Anxiety | 4 (8.89%) | 2 (3.64%) | 3 (3.37%) | 2 (2.06%) |
| Adjustment disorder | 3 (6.67%) | 8 (14.55%) | 3 (3.37%) | 7 (7.22%) |
| Somatization | 3 (6.67%) | 4 (7.27%) | 3 (3.37%) | 5 (5.15%) |
| Personality disorder | 2 (4.44%) | 1 (1.82%) | 10 (11.24%) | 5 (5.15%) |
| Bipolar disorder | 1 (2.22%) | 1 (1.82%) | 1 (1.12%) | 3 (3.09%) |
| Alcoholism | 0 (0%) | 3 (5.45%) | 1 (1.12%) | 6 (6.19%) |
| Other mental disorder | 4 (8.89%) | 3 (5.45%) | 9 (10.11%) | 10 (10.31%) |
| No mental disorder | 5 (11.11%) | 0 (0%) | 2 (2.25%) | 1 (1.03%) |
PTSD, post-traumatic stress disorder; SD, standard deviation.
Fig. 1The total number of patients who visited in February compared with those who visited in March (2017–2020).
Fig. 2The number of patient visits in February and March 2020 (10-day periods compared).
Fig. 3Percentage of patients who visited in February with at least one follow-up visit in March in the years 2017–2020.