ABSTRACT
This study focused on COVID-19 preventive behaviors and fears among prison staff members after the first wave of the pandemic. Cross-sectional data from 171 participants were collected in Switzerland. The level of fears (58.5%) and protective behaviors (100%) were high. Correctional officers adhered less to preventive measures than other staff members (p = .001). Fears were related to a reduction of social contacts (p = .006) and worries about physical health was related to preventive behaviors in general (p = .006). There is a need to raise prison staff awareness regarding their vulnerability to the SARS-CoV-2 in order to improve the effectiveness of health campaigns in prison settings. Special attention should be given to correctional officers.
ABSTRACT
Although the global diffusion of e-mental health has increased in recent years, research on the use of technologies in criminal justice settings is limited. To bridge this knowledge gap, we conducted an international online survey (N = 555) of forensic and correctional mental health professionals from Germany, Switzerland, the United Kingdom, the United States, and 20 additional countries. Telecommunication technologies and mental health platforms had the highest numbers of users, the broadest scope, and the largest increase in use due to the coronavirus disease 2019 (COVID-19) pandemic. In contrast, the use of social media and advanced technologies was lower, narrower in scope, and remained the same or decreased during the COVID-19 pandemic. Respondents' age, professional discipline, country, and clinical setting significantly predicted total technology use in clinical practice. The study findings provide an overview of the current patterns of technology use and point to opportunities for research and development.
ABSTRACT
OBJECTIVES: To develop and validate a screening tool designed to identify detained people at increased risk for COVID-19 mortality, the COVID-19 Inmate Risk Appraisal (CIRA). DESIGN: Cross-sectional study with a representative sample (development) and a case-control sample (validation). SETTING: The two largest Swiss prisons. PARTICIPANTS: (1) Development sample: all male persons detained in Pöschwies, Zurich (n = 365); (2) Validation sample: case-control sample of male persons detained in Champ-Dollon, Geneva (n = 192, matching 1:3 for participants at risk for severe course of COVID-19 and participants without risk factors). MAIN OUTCOME MEASURES: The CIRA combined seven risk factors identified by the World Health Organization and the Swiss Federal Office of Public Health as predictive of severe COVID-19 to derive an absolute risk increase in mortality rate: Age ≥60 years, cardiovascular disease, diabetes, hypertension, chronic respiratory disease, immunodeficiency and cancer. RESULTS: Based on the development sample, we proposed a three-level classification: average (<3.7), elevated (3.7-5.7) and high (>5.7) risk. In the validation sample, the CIRA identified all individuals identified as vulnerable by national recommendations (having at least one risk factor). The category “elevated risk” maximised sensitivity (1) and specificity (0.97). The CIRA had even higher capacity in discriminating individuals vulnerable according to clinical evaluation (a four-level risk categorisation based on a consensus of medical staff). The category “elevated risk” maximised sensitivity and specificity (both 1). When considering the individuals classified as extremely high risk by medical staff, the category “high risk” had a high discriminatory capacity (sensitivity =0.89, specificity =0.97). CONCLUSIONS: The CIRA scores have a high discriminative ability and will be important in custodial settings to support decisions and prioritise actions using a standardised valid assessment method. However, as knowledge on risk factors for COVID-19 mortality is still limited, the CIRA may be considered preliminary. Underlying data will be updated regularly on the website (http://www.prison-research.com), where the CIRA algorithm is freely available.