COVID-19 Inmate Risk Appraisal (CIRA) : development and validation of a screening tool to assess COVID-19 vulnerability in prisons

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2021
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Baggio, Stéphanie
Gétaz, Laurent
Wolff, Hans
Singh, Jay
Naegeli, Andreas
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Zusammenfassung

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.

Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
150 Psychologie
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COVID-19, Inmate Risk Appraisal, screening, prion, vulnerability, Switzerland, development, validation
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ISO 690DA CUNHA GONCALVES, Leonel, Stéphanie BAGGIO, Michael A. WEBER, Laurent GÉTAZ, Hans WOLFF, Jay SINGH, Andreas NAEGELI, Astrid ROSSEGGER, Jérôme ENDRASS, 2021. COVID-19 Inmate Risk Appraisal (CIRA) : development and validation of a screening tool to assess COVID-19 vulnerability in prisons. In: Swiss Medical Weekly. EMH Schweizerischer Ärzteverlag. 2021, 151(05-06), w20471. ISSN 1424-7860. eISSN 1424-3997
BibTex
@article{daCunhaGoncalves2021COVID-53245,
  year={2021},
  title={COVID-19 Inmate Risk Appraisal (CIRA) : development and validation of a screening tool to assess COVID-19 vulnerability in prisons},
  url={https://smw.ch/article/doi/smw.2021.20471},
  number={05-06},
  volume={151},
  issn={1424-7860},
  journal={Swiss Medical Weekly},
  author={da Cunha Goncalves, Leonel and Baggio, Stéphanie and Weber, Michael A. and Gétaz, Laurent and Wolff, Hans and Singh, Jay and Naegeli, Andreas and Rossegger, Astrid and Endrass, Jérôme},
  note={Article Number: w20471}
}
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    <dcterms:abstract xml:lang="eng">OBJECTIVES&lt;br /&gt;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).&lt;br /&gt;&lt;br /&gt;DESIGN&lt;br /&gt;Cross-sectional study with a representative sample (development) and a case-control sample (validation).&lt;br /&gt;&lt;br /&gt;SETTING&lt;br /&gt;The two largest Swiss prisons.&lt;br /&gt;&lt;br /&gt;PARTICIPANTS&lt;br /&gt;(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).&lt;br /&gt;&lt;br /&gt;MAIN OUTCOME MEASURES&lt;br /&gt;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.&lt;br /&gt;&lt;br /&gt;RESULTS&lt;br /&gt;Based on the development sample, we proposed a three-level classification: average (&lt;3.7), elevated (3.7-5.7) and high (&gt;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).&lt;br /&gt;&lt;br /&gt;CONCLUSIONS&lt;br /&gt;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.</dcterms:abstract>
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