scholarly journals Burden of Six Healthcare-Associated Infections on European Population Health: Estimating Incidence-Based Disability-Adjusted Life Years through a Population Prevalence-Based Modelling Study

PLoS Medicine ◽  
2016 ◽  
Vol 13 (10) ◽  
pp. e1002150 ◽  
Author(s):  
Alessandro Cassini ◽  
Diamantis Plachouras ◽  
Tim Eckmanns ◽  
Muna Abu Sin ◽  
Hans-Peter Blank ◽  
...  
2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
V Bordino ◽  
C Vicentini ◽  
A D'Ambrosio ◽  
F Quattrocolo ◽  
C M Zotti

Abstract Background Healthcare-Associated Infections (HAIs) significantly increase adverse clinical outcomes and healthcare costs. In 2016 Italy participated in the second European Centre for Disease Prevention and Control (ECDC) Point Prevalence Survey (PPS) of HAIs and antimicrobial use in acute care hospitals. The aim of this study was to estimate the burden of the 5 most common HAIs in Italy, by evaluating incidence, attributable deaths, Years of Life Lost (YLL), Years Lived with Disability (YLD) and Disability-Adjusted Life-Years (DALYs). Methods National PPS data were used to establish sex- and age-specific incidence of Healthcare-associated Pneumonia (HAP), HA Urinary tract infections (HA UTI), HA Bloodstream Infections (HA BSI) excluding neonatal BSI, Surgical Site Infections (SSI), HA Clostridium Difficile infections (HA CDI). Patients' life expectancy was adjusted according to the severity of underlying conditions using the McCabe score. Following the methodology from the Burden of Communicable Diseases in Europe (BCoDE)-project, an adapted version of the disease models of the BCoDE toolkit was used. Results An overall yearly incidence of 643434 new cases of HAI in Italy was estimated. The aggregate burden of the 5 HAIs was 426411.98 DALYs (86731.03 YLD + 339680.96 YLL), corresponding to 702.53 DALYs per 100000 total population. HA BSI and HAP had the highest burden with respectively 253868.22? and 126038.26 DALYs. The population strata with the highest burden were the ones with McCabe Score 1 for every considered HAI. The age groups with the highest burden were 70-74 for male and 45-49 for female patients. In total, 56% of DALYs were attributable to men and 44% to women. Conclusions This nation-wide study found a significant burden of disease due to HAIs in Italy. Results of this study could be used to guide policy-makers in the implementation of measures aiming to reduce the impact of HAIs. Key messages This study estimated the burden of 5 HAIs in Italy was 426411.98 DALYs (86731.03 YLD + 339680.96 YLL according to 2016 PPS data. Considering the significant burden of HAIs found in this study, infection prevention and control measures should be a Public Health priority in Italy.


Author(s):  
James Love-Koh ◽  
Andrew Mirelman ◽  
Marc Suhrcke

Abstract Distributional economic evaluation estimates the value for money of health interventions in terms of population health and health equity impacts. When applied to interventions delivered at the population and health system-level interventions (PSIs) instead of clinical interventions, additional practical and methodological challenges arise. Using the example of the Programme Saúde da Familia (PSF) in Brazil, a community-level primary care system intervention, we seek to illustrate these challenges and provide potential solutions. We use a distributional cost-effectiveness analysis (DCEA) approach to evaluate the impact of the PSF on population health and between-state health inequalities in Brazil. Data on baseline health status, disease prevalence and PSF effectiveness are extracted from the literature and incorporated into a Markov model to estimate the long-term impacts in terms of disability-adjusted life years. The inequality and average health impacts are analysed simultaneously using health-related social welfare functions. Uncertainty is computed using Monte Carlo simulation. The DCEA encountered several challenges in the context of PSIs. Non-randomized, quasi-experimental methods may not be powered to identify treatment effect heterogeneity estimates to inform a decision model. PSIs are more likely to be funded from multiple public sector budgets, complicating the calculation of health opportunity costs. We estimate a cost-per-disability-adjusted life years of funding the PSF of $2640. Net benefits were positive across the likely range of intervention cost. Social welfare analysis indicates that, compared to gains in average health, changes in health inequalities accounted for a small proportion of the total welfare improvement, even at high levels of social inequality aversion. Evidence on the population health and health equity impacts of PSIs can be incorporated into economic evaluation methods, although with additional complexity and assumptions. The case study results indicate that the PSF is likely to be cost-effective but that the inequality impacts are small and highly uncertain.


2020 ◽  
Vol 5 (7) ◽  
pp. e003259 ◽  
Author(s):  
Sanjay G Reddy

Are the steps that have been taken to arrest the spread of COVID-19 justifiable? Specifically, are they likely to have improved public health understood according to widely used aggregate population health measures, such as Quality Adjusted Life Years (QALYs) and Disability Adjusted Life Years (DALYs) as much or more than alternatives? This is a reasonable question, since such measures have been promoted extensively in global and national health policy by influential actors, and they have become almost synonymous with quantification of public health. If the steps taken against COVID-19 did not meet this test, then either the measures or the policies must be re-evaluated. There are indications that policies against COVID-19 may have been unbalanced and therefore not optimal. A balanced approach to protecting population health should be proportionate in its effects across distinct health concerns at a moment, across populations over time and across populations over space. These criteria provide a guide to designing and implementing policies that diminish harm from COVID-19 while also providing due attention to other threats to aggregate population health. They should shape future policies in response to this pandemic and others.


2021 ◽  
Author(s):  
Grant Mark Andrew Wyper ◽  
Eilidh Fletcher ◽  
Ian Grant ◽  
Oliver Harding ◽  
Maria Teresa de Haro Moro ◽  
...  

Background: COVID-19 has caused almost unprecedented change across health, education, the economy and social interaction. It is widely understood that the existing mechanisms which shape health inequalities have resulted in COVID-19 outcomes following this same, familiar, pattern. Our aim was to estimate inequalities in the population health impact of COVID-19 in Scotland, measured by disability-adjusted life years (DALYs) in 2020. These were scaled against pre-pandemic inequalities in DALYs combined across all causes, derived from the Scottish Burden of Disease (SBoD) study.Methods: National deaths and daily case data were input into the European Burden of Disease Network consensus model to estimate DALYs. Total Years of Life Lost (YLL) were estimated for each area-based deprivation quintile of the Scottish population. Years Lived with Disability were proportionately distributed to deprivation quintiles, based on YLL estimates. Inequalities were measured by: the range, Relative Index of Inequality (RII), Slope Index of Inequality (SII), and attributable DALYs were estimated by using the least deprived quintile as a reference. Overall, and inequalities in, COVID-19 DALYs were scaled against pre-pandemic estimates of inequalities across all causes from the SBoD study.Results: Marked inequalities were observed across several measures. The SII was 2,048–2,289 COVID-19 DALYs per 100,000 population. The RII was 1.16, meaning that the rate in the most deprived areas was around 58% higher than the mean population rate, with 40% of COVID-19 DALYs attributed to differences in area-based deprivation. Overall DALYs due to COVID-19 ranged from 7–20% of the annual pre-pandemic impact of inequalities in health loss combined across all causes.Conclusion: The substantial population health impact of COVID-19 in Scotland was not shared equally across areas experiencing different levels of deprivation. The extent of inequality due to COVID-19 was similar to averting all annual DALYs due to diabetes. In the wider context of population health loss, overall ill-health and mortality due to COVID-19 was, at most, a fifth of the annual population health loss due to inequalities in multiple deprivation. Implementing effective policy interventions to reduce health inequalities must be at the forefront of plans to recover and improve population health.


Author(s):  
Grant M. A. Wyper ◽  
Eilidh Fletcher ◽  
Ian Grant ◽  
Oliver Harding ◽  
Maria Teresa de Haro Moro ◽  
...  

Abstract Background COVID-19 has caused almost unprecedented change across health, education, the economy and social interaction. It is widely understood that the existing mechanisms which shape health inequalities have resulted in COVID-19 outcomes following this same, familiar, pattern. Our aim was to estimate inequalities in the population health impact of COVID-19 in Scotland, measured by disability-adjusted life years (DALYs) in 2020. Our secondary aim was to scale overall, and inequalities in, COVID-19 DALYs against the level of pre-pandemic inequalities in all-cause DALYs, derived from the Scottish Burden of Disease (SBoD) study. Methods National deaths and daily case data were input into the European Burden of Disease Network consensus model to estimate DALYs. Total Years of Life Lost (YLL) were estimated for each area-based deprivation quintile of the Scottish population. Years Lived with Disability were proportionately distributed to deprivation quintiles, based on YLL estimates. Inequalities were measured by: the range, Relative Index of Inequality (RII), Slope Index of Inequality (SII), and attributable DALYs were estimated by using the least deprived quintile as a reference. Results Marked inequalities were observed across several measures. The SII range was 2048 to 2289 COVID-19 DALYs per 100,000 population. The rate in the most deprived areas was around 58% higher than the mean population rate (RII = 1.16), with 40% of COVID-19 DALYs attributed to differences in area-based deprivation. Overall DALYs due to COVID-19 ranged from 7 to 20% of the annual pre-pandemic impact of inequalities in health loss combined across all causes. Conclusion The substantial population health impact of COVID-19 in Scotland was not shared equally across areas experiencing different levels of deprivation. The extent of inequality due to COVID-19 was similar to averting all annual DALYs due to diabetes. In the wider context of population health loss, overall ill-health and mortality due to COVID-19 was, at most, a fifth of the annual population health loss due to inequalities in multiple deprivation. Implementing effective policy interventions to reduce health inequalities must be at the forefront of plans to recover and improve population health.


BMJ ◽  
2020 ◽  
pp. m824 ◽  
Author(s):  
Matti Marklund ◽  
Gitanjali Singh ◽  
Raquel Greer ◽  
Frederick Cudhea ◽  
Kunihiro Matsushita ◽  
...  

AbstractObjectivesTo estimate the effects of nationwide replacement of discretionary salt (used at table or during cooking) with potassium enriched salt substitute on morbidity and death from cardiovascular disease in China.DesignModelling study.SettingChina.PopulationAdult population in China, and specifically individuals with chronic kidney disease (about 17 million people).InterventionsComparative risk assessment models were used to estimate the effects of a nationwide intervention to replace discretionary dietary salt with potassium enriched salt substitutes (20-30% potassium chloride). The models incorporated existing data and corresponding uncertainties from randomised trials, the China National Survey of Chronic Kidney Disease, the Global Burden of Disease Study, and the Chronic Kidney Disease Prognosis Consortium.Main outcome measuresAverted deaths from cardiovascular disease, non-fatal events, and disability adjusted life years from a reduction in blood pressure were estimated after implementation of potassium enriched salt substitution. In individuals with chronic kidney disease, additional deaths from cardiovascular disease related to hyperkalaemia from increased intake of potassium were calculated. The net effects on deaths from cardiovascular disease were estimated as the difference and ratio of averted and additional deaths from cardiovascular disease.ResultsNationwide implementation of potassium enriched salt substitution could prevent about 461 000 (95% uncertainty interval 196 339 to 704 438) deaths annually from cardiovascular disease, corresponding to 11.0% (4.7% to 16.8%) of annual deaths from cardiovascular disease in China; 743 000 (305 803 to 1 273 098) non-fatal cardiovascular events annually; and 7.9 (3.3 to 12.9) million disability adjusted life years related to cardiovascular disease annually. The intervention could potentially produce an estimated 11 000 (6422 to 16 562) additional deaths related to hyperkalaemia in individuals with chronic kidney disease. The net effect would be about 450 000 (183 699 to 697 084) fewer deaths annually from cardiovascular disease in the overall population and 21 000 (1928 to 42 926) fewer deaths in individuals with chronic kidney disease. In deterministic sensitivity analyses, with changes to key model inputs and assumptions, net benefits were consistent in the total population and in individuals with chronic kidney disease, with averted deaths outweighing additional deaths.ConclusionsNationwide potassium enriched salt substitution in China was estimated to result in a substantial net benefit, preventing around one in nine deaths from cardiovascular disease overall. Taking account of the risks of hyperkalaemia, a substantial net benefit was also estimated for individuals with chronic kidney disease.


2021 ◽  
Author(s):  
Grant Mark Andrew Wyper ◽  
Eilidh Fletcher ◽  
Ian Grant ◽  
Gerry McCartney ◽  
Colin Fischbacher ◽  
...  

Background: Disability-adjusted life years (DALYs) combine the impact of morbidity and mortality and can enable comprehensive, and comparable, assessments of direct and indirect health harms due to COVID-19. Our aim was to estimate DALYs directly due to COVID-19 in Scotland, during 2020; and contextualise its population impact relative to other causes of disease and injury.Methods: National deaths and daily case data were used. Deaths were based on underlying and contributory causes recorded on death certificates. We calculated DALYs based on the COVID-19 consensus model and methods outlined by the European Burden of Disease Network. DALYs were presented as a range, using a sensitivity based on Years of Life Lost estimates using: cause-specific; and COVID-19 related deaths. All estimates were for 2020.Findings: In 2020, estimates of COVID-19 DALYs in Scotland ranged from 96,500 to 108,200. Direct COVID-19 DALYs were substantial enough to be framed as the second leading cause of disease and injury, with only ischaemic heart disease having a larger impact on population health. Mortality contributed 98% of total DALYs.Interpretation: The direct population health impact of COVID-19 has been very substantial. Despite unprecedented mitigation efforts, COVID-19 developed from a single identified case in early 2020 to a condition with an impact in Scotland second only to ischaemic heart disease. Periodic estimation of DALYs during 2021, and beyond, will provide indications of the impact of DALYs averted due to the national roll-out of the vaccination programme and other continued mitigation efforts, although new variants may pose significant challenges.


Author(s):  
Scott Burris ◽  
Micah L. Berman ◽  
Matthew Penn, and ◽  
Tara Ramanathan Holiday

Chapter 5 discusses the use of epidemiology to identify the source of public health problems and inform policymaking. It uses a case study to illustrate how researchers, policymakers, and practitioners detect diseases, identify their sources, determine the extent of an outbreak, and prevent new infections. The chapter also defines key measures in epidemiology that can indicate public health priorities, including morbidity and mortality, years of potential life lost, and measures of lifetime impacts, including disability-adjusted life years and quality-adjusted life years. Finally, the chapter reviews epidemiological study designs, differentiating between experimental and observational studies, to show how to interpret data and identify limitations.


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