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Adapting clinical pharmacy staffing models during the COVID‐19 pandemic: Lessons learned and considerations for future disaster planning
Introduction In response to the coronavirus disease 2019 (COVID‐19) pandemic, health care institutions have faced challenges necessitating operational agility to facilitate provision of optimal patient care. This research was performed to elucidate how pharmacy departments adapted their staffing mod...
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Published in: | JAACP : Journal of the American College of Clinical Pharmacy 2021-01, Vol.4 (1), p.10-19 |
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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: | Introduction
In response to the coronavirus disease 2019 (COVID‐19) pandemic, health care institutions have faced challenges necessitating operational agility to facilitate provision of optimal patient care. This research was performed to elucidate how pharmacy departments adapted their staffing models, and the impact on frontline staff satisfaction.
Methods
Critical care pharmacists in the American College of Clinical Pharmacy (ACCP) and the American Society of Health‐System Pharmacists list‐serves were electronically invited to participate in a 28‐question survey between April and May 2020. Likert‐like questions used a 1 to 5 (strongly agree to strongly disagree) scale, and responses were compared based on the degree of satisfaction with implemented pharmacy leadership strategies. Practice model changes were compared before and during the COVID‐19 pandemic. Multivariate logistic regression was used to assess the effects of independent variables on the primary outcome ‐ satisfaction with pharmacy leadership response.
Results
Respondents (N = 168) representing 40 states in the United States participated. Forty percent of respondents experienced a surge, 68% experienced a staffing model change, and 65% were satisfied overall with their pharmacy leadership's response to the COVID‐19 pandemic. Both specialists (50% vs 21%, P = .013) and unit‐based generalists (65% vs 35%, P |
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ISSN: | 2574-9870 2574-9870 |
DOI: | 10.1002/jac5.1374 |