Negotiating SHI-FEI and shifei: Pursuing a Moralist Self in China’s Community-Based Addiction Treatment Programs

Author(s):  
Chaoxiong Zhang
2010 ◽  
Vol 43 (3) ◽  
pp. 63
Author(s):  
RENÉE MATTHEWS

2015 ◽  
Vol 15 (1) ◽  
Author(s):  
Louise L. Hardy ◽  
Seema Mihrshahi ◽  
Joanne Gale ◽  
Binh Nguyen ◽  
Louise A. Baur ◽  
...  

Author(s):  
Amy J. Kennedy ◽  
Charles B. Wessel ◽  
Rebecca Levine ◽  
Kendall Downer ◽  
Megan Raymond ◽  
...  

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Kimberly A. Johnson ◽  
Carolyn Keough ◽  
Holly Hills ◽  
Wouter Vermeer ◽  
Rebecca Lengnick-Hall ◽  
...  

Abstract Background 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. Main body 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. Conclusion and commentary 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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