A Retrospective Global Assessment of Factors Associated With COVID-19 Policies and Health Outcomes.

Background: The 2019 Global Health Security (GHS) Index measured the capacities of countries to prepare for and respond to epidemics and pandemics. However, the COVID-19 pandemic revealed that GHS Index scores were poorly correlated with ability to respond to infectious disease threats. It is critical to understand how public health policies may reduce the negative impacts of pandemics. Objective: To identify non-pharmaceutical interventions (NPIs) that can minimize morbidity and mortality during the COVID-19 and future pandemics, this study examined associations between country characteristics, NPI public health policies, and COVID-19 outcomes during the first year of the pandemic, prior to the introduction of the COVID-19 vaccine. This global analysis describes worldwide trends in policy implementation and generates a stronger understanding of how NPIs contributed to improved health outcomes. Design: This cross-sectional, retrospective study relied on information drawn from publicly available datasets through December 31, 2020. Primary and Secondary Outcome Measures: We conducted multivariate regressions to examine associations between country characteristics and policies, and policies and health outcomes. Results: Countries with higher health service coverage prior to the pandemic implemented more policies and types of policies. Countries with more bordering countries implemented more border control policies (0.78**), and countries with denser populations implemented more masking policies (0.24*). Across all countries, fewer COVID-19 cases and deaths per million were associated with masking (-496.10*, -7.57), testing and tracing (-108.50**, -2.47**), and restriction of movement (-102.30*, -2.10*) policies, with stronger associations when these policies were mandatory rather than voluntary. Conclusions: Country characteristics, including health service coverage, number of bordering countries, and population density, may predict the frequency and nature of public health interventions. Countries with higher health service coverage may have the infrastructure to react more efficiently to a pandemic, leading them to implement a greater number of policies. Mandatory masking, testing and tracing, and restriction of movement policies were associated with more favorable COVID-19 population health outcomes. While these results are consistent with existing COVID-19 mathematical models, policy effectiveness depends on how well they are implemented. Our results suggest that social distancing policies were less effective in reducing infectious disease risk, which may reflect difficulties with enforcement and monitoring.

Evaluating hematology/oncology clinical pharmacist activities via self-reported work sampling.

PURPOSE: Hematology/oncology clinical pharmacists' work activities have been described in previous literature, but time spent on pharmacist tasks has not been well characterized. Random work sampling (WS) is a form of activity assessment to determine the proportion of time spent in various types of work. Based on results from previous WS evaluations at University of Utah and its Huntsman Cancer Hospital, activities were changed to maximize time dedicated to clinical activities and pharmacists' benefit to providers and patients in both inpatient and ambulatory care settings. Therefore, updated random WS evaluations were completed during spring 2019 and fall 2020. METHODS: Personal digital assistant (PDA) devices were used to record hematology/oncology clinical pharmacists' onsite or remote location and work activity data. Data were collected 8 times per hour on weekdays, with a goal of 275 observations per pharmacist. Results were then classified as clinical, professional, or technical activities. RESULTS: In 2019, 9,079 observations were recorded by 31 onsite pharmacists. In 2020, 28 pharmacists recorded 8,803 observations (5,524 during onsite work and 3,279 during remote work). The overall distribution of pharmacists' work activities remained stable between 2019 and 2020, with 89% of activities classified as clinical or professional. Pharmacists spent a smaller proportion of time on in-person communication in 2020, balanced by increases in chart review and text-based communication. Onsite pharmacists reported a larger proportion of clinical activities, while remote pharmacists reported a larger proportion of professional activities. CONCLUSION: Continued WS assessment of work activity patterns will allow identification of opportunities to streamline workflows, maximize pharmacist engagement in clinical activities, and development of remote work policy.