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Protecting patients and staff in residential treatment centers during exposure to COVID-19: commentary
The COVID-19 pandemic has created a crisis in access to addiction treatment. Programs with residential components have been particularly impacted as they try to keep infection from spreading in facilities and contributing to further community spread of the virus. This crisis highlights the ongoing d...
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Published in: | Addiction science & clinical practice 2021-07, Vol.16 (1), p.49-4, Article 49 |
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Main Authors: | , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | The COVID-19 pandemic has created a crisis in access to addiction treatment. Programs with residential components have been particularly impacted as they try to keep infection from spreading in facilities and contributing to further community spread of the virus. This crisis highlights the ongoing daily trade-offs that organizations must weigh as they balance the risks and benefits of individual patients with those of the group of patients, staff and the community they serve.
The COVID-19 pandemic has forced provider organizations to make individual facility level decisions about how to manage patients who are COVID-19 positive while protecting other patients, staff and the community. While guidance documents from federal, state, and trade groups aimed to support such decision making, they often lagged pandemic dynamics, and provided too little detail to translate into front line decision making. In the context of incomplete knowledge to make informed decisions, we present a way to integrate guidelines and local data into the decision process and discuss the ethical dilemmas faced by provider organizations in preventing infections and responding to COVID positive patients or staff.
Provider organizations need decision support on managing the risk of COVID-19 positive patients in their milieu. While useful, guidance documents may not be capable of providing support with the nuance that local data and simulation modeling may be able to provide. |
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ISSN: | 1940-0640 1940-0632 1940-0640 |
DOI: | 10.1186/s13722-021-00258-2 |