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Development of a process map for the delivery of virtual clinical pharmacy services at Odette Cancer Centre during the COVID-19 pandemic
Virtual methods have been innovatively utilized to provide clinical and supportive care to patients with cancer. Oncology pharmacists have been actively involved in this movement, in order to minimize patient contact and decrease the risk of viral transmission for this high-risk group. In response t...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8008431/ https://www.ncbi.nlm.nih.gov/pubmed/33554738 http://dx.doi.org/10.1177/1078155221991202 |
Sumario: | Virtual methods have been innovatively utilized to provide clinical and supportive care to patients with cancer. Oncology pharmacists have been actively involved in this movement, in order to minimize patient contact and decrease the risk of viral transmission for this high-risk group. In response to COVID-19 restrictions, the Odette Cancer Centre pharmacy modified the delivery of clinical pharmacy services (CPS), including medication histories and patient education/counseling, to a remote telephone-based model. Process maps were created to visualize workflow before and after the pandemic. Process metrics were tracked over a 6-week period. From March 25th to May 1st, 2020, 202 best-possible medication histories and baseline assessments were completed; 149 of these (74%) were completed remotely. For medication therapy counsels, 72 of 199 were completed remotely (36%). Despite workflow disruptions caused by the pandemic, these results demonstrate that clinical pharmacy service levels could be maintained by incorporating remote delivery approaches without significant investment in resources. Challenges included acceptance by patients and lack of technology to support system-level processes. Further research to develop, refine, and individualize virtual clinical pharmacy care models will help to consolidate the role of these approaches in the post-COVID-19 era. |
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