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The purpose of this paper is to provide an exposition of the concepts relevant to measuring the economic effect of premature mortality and the conception of how the social loss from premature mortality can be incorporated into social welfare measurement. None of the conventional welfare measures currently pick up this welfare signal.

Various concepts are examined in the conventional and “new” literatures of welfare measurement. Six Venn diagrams show how various concepts “fit together”.

This paper outlines a framework for measuring the economic effect of premature mortality in a conceptually appropriate way. Thus the paper shows how the welfare loss associated with premature mortality can be incorporated into social welfare measurement.

Accurate premature mortality measurement is difficult but this data problem hardly limits this exercise. Sensitivity analyses can alleviate this measurement problem.

The main practical implication is that empirical applications are feasible. Time series data can be analysed from this conceptual framework to determine whether the problem of the social loss from premature mortality is improving through time, or worsening.

Knowing the size of the welfare impact of premature mortality is useful not only on policy fronts concerning premature mortality prevention.

“New welfare measurement” has not yet been applied to the notion of the social loss from premature mortality.

The role institutional quality plays in the rising pace of globalization and its associated health effects remain unclear in the literature. This study, therefore, empirically examined the moderating role of institutional quality on the globalization-health outcomes nexus in Nigeria, a country with a relatively weak health system.

The study employed Dynamic Ordinary Least Square (DOLS) to estimate the empirical models. The Fully Modified Ordinary Least Square (FMOLS) and Canonical Cointegration Regression (CCR) techniques were thereafter used to check the consistency and robustness of our results. Annual time-series data spanning from 1984 to 2020 were sourced from the World Development Indicator, KOF Globalization Index, International Countries Risk Guide (ICRG) and Central Bank of Nigeria Statistical Bulletin databases.

The results revealed that overall globalization and its three dimensional components (economic, political and social globalization) adversely affect life expectancy in their separate models, but increased life expectancy significantly after their interaction with government effectiveness. Also, real GDP, health aids, government recurrent health expenditure are other determinants of life expectancy in Nigeria.

The Nigerian government should put in place appropriate mechanisms directed toward building and sustaining government effectiveness. This will help mitigate the negative effects of globalization and utilize its net positive benefits to improve life expectancy in Nigeria.

The research is the first to comprehensively examine the moderating impact of institutional quality on the nexus between overall globalization as well as its three dimensional components (economic, political and social) on health outcomes in Nigeria.

The purpose of this paper is to provide an estimate of the costs of premature mortality caused by the COVID-19 pandemic.

Using COVID-19 pandemic-derived mortality data for November 9, 2020 (globally 1,303,215 deaths) and applying a country-based value of statistical life (VSL), the worldwide cost of premature mortality was assessed. The cost was assessed based on income groups until November 9, 2020 and projected into the future until March 1, 2021 using three scenarios from the Institute for Health Metrics and Evaluation (IHME).

The global cost of premature mortality is currently estimated at Int$5.9 trillion. For the high-income group, the current estimated cost is Int$ $4.4 trillion or $3,700 per person. Using IHME projections until March 1, 2021, global premature mortality costs will increase to Int$13.7 trillion and reach Int$22.1 trillion if policies are relaxed, while the cost with 95% universal masks is Int$10.9 trillion. The richest nations will bear the largest burden of these costs, reaching $15,500 per person by March 1, 2021 if policies are relaxed.

The cost of human lives lost due to the pandemic is unprecedented. Preparedness in the future is the best policy to avoid many premature deaths and severe recessions in order to combat pandemics.

Possible approaches to the formulation of health indicators and the uncertainties that should be associated with such indicators are discussed. As an illustration, two health indicators are formulated, one reflecting the degree of premature mortality in a population, and one reflecting the impact of health on the ratio between the productive and the dependent age groups in a population. Illustrative values of these indicators are computed for various countries and are compared with the corresponding values of the customary health indicators of life expectancy and infant mortality. The indication of the margin of error that should be attached to such indicators if they are to be regarded as measures of population “health” is obtained by observing the extent to which these different indicators correlate with each other when their values for various countries are considered.

The purpose of this study is to describe how the hospital influenced the practice of corticosteroids and aminophylline administration by applying strategic problem solving. Under five child mortality is a challenge in Rwanda. Although it has been shown that administering corticosteroids and aminophylline can reduce the mortality of premature neonates, the use of these medications were low at Mibilizi District Hospital in Rwanda.

This project used a pre- and post-intervention study design, utilizing patient file audit to evaluate the impact of our intervention on the compliance of corticosteroids administration to pregnant mothers in premature labour and aminophylline to premature neonates, using the Strategic Problem Solving approach.

The intervention significantly increased the rate of giving corticosteroids to mothers at risk of premature delivery from 26 per cent to 60 per cent p-value = 0.009. The provision of aminophylline to premature neonates under 34 weeks of gestation significantly increased from 65 per cent to 100 per cent p-value = 0.002.

This study illustrates how a multidisciplinary team was able to use the eight steps of strategic problem solving to increase the administration rates of corticosteroids and aminophylline. The hospital should continue to support quality improvement efforts using strategic problem solving approach to prevent premature neonatal deaths and improve quality of care.

Findings from this study may be useful for hospitals in resource-challenged settings seeking to improve the administration of corticosteroids and aminophylline to prevent premature neonatal deaths.

One of the most contentious issues concerning benefit–cost analyses of environmental and other regulatory programs has been the valuation of reductions in mortality risks. The conceptual basis for most valuation exercises has been the value of a statistical life (VSL). However, despite decades of both theoretical and empirical research on the meaning and measurement of the VSL concept, there is no consensus concerning the validity of the results it produces in actual applications. In this paper, we review the development and application of the VSL approach and then propose what we believe to be a better way to value changes in mortality hazard.

We study changes in age-specific diabetes-related mortality and annual health care utilization. We find that half of the estimated 16% increase of diabetic mortality falls within employable age groups. We estimate that disease combination-specific increase in case fatality has resulted in premature diabetic mortality costing $3.2 billion annually. The estimated annual direct cost of treating high-risk diabetics reaches $36 billion, of which Medicare and Other Federal Programs compensate 54%. Respiratory conditions among diabetics comprise the same proportion of high-risk diabetics as do the disease combinations including coronary heart diseases. Treating of general diabetic conditions has become more efficient as indicated by the estimated declines in per unit health care costs.

The World Health Organisation recognises that health and well-being are essential to achieve the United Nations Development Agenda 2030. Non-communicable diseases (NCDs) are the leading causes of ill-health worldwide. Much of the global burden of NCD is caused by individual unhealthy behaviours. A behavioural mindset shift is needed to reduce premature NCD mortality. This article provides an exploratory analysis to understand whether Portuguese society is on the path to achieving better health by considering certain unacceptable individual lifestyles that contribute to diseases and could be avoided.

An online questionnaire was used to collect data from 558 Portuguese citizens. Descriptive statistics and non-parametric tests were used to (1) assess whether respondents were aware of premature mortality caused by NCDs, (2) explore whether individuals should be accountable for their disease-related behaviours, and (3) test for associations between this accountability and respondents sociodemographic and health characteristics.

Overall, respondents were unaware of the rate of premature mortality associated with chronic diseases and were unwilling to hold fellow citizens accountable for their unhealthy lifestyles. Following a healthy lifestyle proved relevant in the moralisation of others' unhealthy lifestyles, especially those who practice physical exercise.

This study is the first attempt to awaken attention to the impact that societies' procrastination for others' harmful health behaviours may have on achieving Sustainable Development GoalS (SDGs) and sustainable development.