Evaluating COVID-19-Related Surveillance Measures for Decision-Making

As the COVID-19 pandemic has continued to evolve, the types of data available have changed with the identification of new variants, the availability of COVID-19 vaccines, the introduction of new COVID-19 therapeutics, the reopening of the economy, and the relaxing of mitigation measures. Enhanced understanding of these data types can lead to more informed decisions. The latest guidance from the Societal Experts Action Network (SEAN) highlights new and updated COVID-19 data measures and surveillance strategies that decision makers can use to inform policy decisions. This rapid expert consultation was produced by SEAN, an activity of the National Academies of Sciences, Engineering, and Medicine that is sponsored by the National Science Foundation. SEAN links researchers in the social, behavioral, and economic sciences with decision makers to respond to policy questions arising from the COVID-19 pandemic. This project is a collaboration with the National Academies' Standing Committee on Emerging Infectious Diseases and 21st Century Health Threats, which is sponsored by the U.S. Department of Health and Human Services, Office of the Assistant Secretary for Preparedness and Response. © All rights reserved.

Inequality in mortality between Black and White Americans by age, place, and cause, and in comparison to Europe, 1990-2018

Although there is a large gap between Black and White American life expectancies, the gap fell 48.9% between 1990-2018, mainly due to mortality declines among Black Americans. We examine age-specific mortality trends and racial gaps in life expectancy in rich and poor U.S. areas and with reference to six European countries. Inequalities in life expectancy are starker in the U.S. than in Europe. In 1990 White Americans and Europeans in rich areas had similar overall life expectancy, while life expectancy for White Americans in poor areas was lower. But since then even rich White Americans have lost ground relative to Europeans. Meanwhile, the gap in life expectancy between Black Americans and Europeans decreased by 8.3%. Black life expectancy increased more than White life expectancy in all U.S. areas, but improvements in poorer areas had the greatest impact on the racial life expectancy gap. The causes that contributed the most to Black mortality reductions included: Cancer, homicide, HIV, and causes originating in the fetal or infant period. Life expectancy for both Black and White Americans plateaued or slightly declined after 2012, but this stalling was most evident among Black Americans even prior to the COVID-19 pandemic. If improvements had continued at the 1990-2012 rate, the racial gap in life expectancy would have closed by 2036. European life expectancy also stalled after 2014. Still, the comparison with Europe suggests that mortality rates of both Black and White Americans could fall much further across all ages and in both rich and poor areas.

Patients' Access to Care During COVID-19 and the Role of Nurse Practitioners in Australia

The anxiety piqued by the impact of the COVID-19 pandemic has motivated health planners to consider all options in attempting to ensure the delivery of effective health care. The response to the early stage of the pandemic offered both opportunity and hope for the removal of historic barriers to the effective utilisation of nurse practitioner (NP) services in Australia. This column discusses the utilisation of NP services to improve access to care during the COVID-19 pandemic, and highlights the failures to optimise their impact. The intent of introducing the NP role into Australia 20 years ago was to enhance the flexibility of the workforce by expanding and increasing access to health services, particularly for underserved populations. Since implementation, NP services have been plagued by resistance from the medical profession in Australia and constrained by policy and legislation.

Life expectancy inequalities in Wales before COVID-19: an exploration of current contributions by age and cause of death and changes between 2002 and 2018.

OBJECTIVES: The COVID-19 pandemic in Wales and the UK has highlighted significant and historic inequalities in health between social groups. To better understand the composition of these inequalities and inform planning after the pandemic, we undertook a decomposition of life expectancy inequalities between the most and least deprived quintiles for men and women by age and cause of death and explored trends between 2002 and 2018. STUDY DESIGN: Statistical decomposition of life expectancy inequalities by age and cause of death using routine population mortality datasets. METHODS: We used routine statistics from the Office for National Statistics for the period 2002-2018 on population and deaths in Wales stratified by age, gender, Welsh Index of Multiple Deprivation (WIMD) 2019 quintile and cause of death, categorised by International Classification of Disease, version 10, code into 15 categories of public health relevance. We aggregated data to 3-year rolling figures to account for low numbers of events in some groups annually. Next, we estimated life expectancy at birth by quintile, gender and period using life table methods. Lastly, we performed a decomposition analysis using the Arriaga method to identify the specific disease categories and ages at which excess deaths occur in more disadvantaged areas to highlight potential areas for action. RESULTS: Life expectancy inequalities between the most and least WIMD quintiles rose for both genders between 2002 and 2018: from 4.69 to 6.02 years for women (an increase of 1.33 years) and from 6.34 to 7.42 years for men (an increase of 1.08 years). Exploratory analysis of these trends suggested that the following were most influential for women: respiratory disease (1.50 years), cancers (1.36 years), circulatory disease (1.35 years) and digestive disease (0.51 years). For men, the gap was driven by circulatory disease (2.01 years), cancers (1.39 years), respiratory disease (1.25 years), digestive disease (0.79 years), drug- and alcohol-related conditions (0.54 years) and external causes (0.54 years). Contributions for women from respiratory disease, cancers, dementia and drug- and alcohol-related conditions appeared to be increasing, while among men, there were rising contributions from respiratory, digestive and circulatory disease. CONCLUSIONS: Life expectancy inequalities in Wales remain wide and have been increasing, particularly among women, with indications of worsening trends since 2010 following the introduction of fiscal austerity. As agencies recover from the pandemic, these findings should be considered alongside any resumption of services in Wales or future health and public policy.