Decomposition of years of life lost due to premature death (YLL): a method for spatial and temporal comparative assessment.
Ontology highlight
ABSTRACT: Background
Acceptance of Disability-Adjusted Life Year (DALY) as a measure of health summary and progression has increased over the years, which in turn has instigated comparative analysis studies of DALY across time and geography. Thus, it is important to explore methodological underpinnings of comparative analysis.Results
A crude comparison of disease burden across time or space may mislead the interpretation of the health system's performance because the quantum and pattern of DALY can be influenced by the age structure of the society. A significant proportion of this burden is due to the Years of Life Lost (YLL) component. The paper proposes a mathematical exposition to decompose the change in YLL over time or region into burden attributed to a) population age structure, b) death rate, and c) age at death gradient.Conclusion
We reasoned that the death rate and age at death burden gradient signify the real contribution of the health systems. Hence, the method of decomposition can be utilized to measure the health service progression of a region in real terms.
SUBMITTER: Saxena N
PROVIDER: S-EPMC7541272 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature
Publications
Decomposition of years of life lost due to premature death (YLL): a method for spatial and temporal comparative assessment.
Saxena Nitya N Sethia Deepak D
Archives of public health = Archives belges de sante publique 20201006
<h4>Background</h4>Acceptance of Disability-Adjusted Life Year (DALY) as a measure of health summary and progression has increased over the years, which in turn has instigated comparative analysis studies of DALY across time and geography. Thus, it is important to explore methodological underpinnings of comparative analysis.<h4>Results</h4>A crude comparison of disease burden across time or space may mislead the interpretation of the health system's performance because the quantum and pattern of ...[more]
Similar Datasets
Project description:BackgroundBurden of cancer mortality is often measured by death counts or mortality rates, but potential years of life lost (PYLL) and PYLL per death may be more useful to estimate the impact of cancer-related deaths occurring at younger ages.MethodsWe used U.S. national death certificate data. A total of 45 categories of common cancers were grouped for cancer-specific calculations of PYLL and PYLL per death. PYLL was defined as the sum of the total years of life lost prior to age 75 years.ResultsThe largest number of PYLL in 2017 was due to deaths from cancers of the lung/bronchus (891,313; 20.8%), colon/rectum (409,538; 9.6%), and breast (400,643; 9.4%). Cancers with the highest PYLLs generally also caused the largest number of deaths and had the highest mortality rates, with the exception of prostate cancer (5.1% of deaths, 2.0% of PYLL). In contrast, PYLLs per death were greatest for deaths due to cancers of testis (mean = 34.0 years), bones/joints (26.4), and other endocrine sites including thymus (25.2).ConclusionsAlthough PYLLs generally reflect mortality rates, they more heavily weigh cancers that occur at younger ages. In contrast, PYLL per death, which is an average quantification of life years lost for individual patients with cancer, shows a different pattern.ImpactMortality rates, PYLL, and PYLL per death are complementary measures of the burden of deaths due to cancer that should be considered in tandem to prioritize public health interventions focused on preventing premature mortality.
| S-EPMC7710589 | biostudies-literature
Project description:BackgroundA core function of local health departments is to conduct health assessments. The analysis of death certificates provides information on diseases, conditions, and injuries that are likely to cause death - an important outcome indicator of population health. The expected years of life lost (YLL) measure is a valid, stand-alone measure for identifying and ranking the underlying causes of premature death. The purpose of this study was to rank the leading causes of premature death among San Francisco residents, and to share detailed methods so that these analyses can be used in other local health jurisdictions.MethodsUsing death registry data and population estimates for San Francisco deaths in 2003-2004, we calculated the number of deaths, YLL, and age-standardized YLL rates (ASYRs). The results were stratified by sex, ethnicity, and underlying cause of death. The YLL values were used to rank the leading causes of premature death for men and women, and by ethnicity.ResultsIn the years 2003-2004, 6312 men died (73,627 years of life lost), and 5726 women died (51,194 years of life lost). The ASYR for men was 65% higher compared to the ASYR for women (8971.1 vs. 5438.6 per 100,000 persons per year). The leading causes of premature deaths are those with the largest average YLLs and are largely preventable. Among men, these were HIV/AIDS, suicide, drug overdose, homicide, and alcohol use disorder; and among women, these were lung cancer, breast cancer, hypertensive heart disease, colon cancer, and diabetes mellitus. A large health disparity exists between African Americans and other ethnic groups: African American age-adjusted overall and cause-specific YLL rates were higher, especially for homicide among men. Except for homicide among Latino men, Latinos and Asians have comparable or lower YLL rates among the leading causes of death compared to whites.ConclusionLocal death registry data can be used to measure, rank, and monitor the leading causes of premature death, and to measure and monitor ethnic health disparities.
| S-EPMC2386472 | biostudies-literature
Project description:BackgroundTo complement available information on mortality in a population Standard Expected Years of Life Lost (SEYLL), an indicator of premature mortality, is increasingly used to calculate the mortality-associated disease burden. SEYLL consider the age at death and therefore allow a more accurate view on mortality patterns as compared to routinely used measures (e.g. death counts). This study provides a comprehensive assessment of disease and injury SEYLL for Hong Kong in 2010.MethodsTo estimate the SEYLL, life-expectancy at birth was set according to the 2004 Global Burden of Disease study at 82.5 and 80 years for females and males, respectively. Cause of death data for 2010 were corrected for misclassification of cardiovascular and cancer causes. In addition to the baseline estimates, scenario analyses were performed using alternative assumptions on life-expectancy (Hong Kong standard life-expectancy), time-discounting and age-weighting. To estimate a trend of premature mortality a time-series analysis from 2001 to 2010 was conducted.ResultsIn 2010 524,706.5 years were lost due to premature death in Hong Kong with 58.3% of the SEYLL attributable to male deaths. The three overall leading single causes of SEYLL were "trachea, bronchus and lung cancers", "ischaemic heart disease" and "lower respiratory infections" together accounting for about 29% of the overall SEYLL. Further, self-inflicted injuries (5.6%; ranked 5) and liver cancer (4.9%; ranked 7) were identified as important causes not adequately captured by classical mortality measures. Scenario analyses highlighted that by using a 3% time-discount rate and non-uniform age-weights the SEYLL dropped by 51.6%. Using Hong Kong's standard life-expectancy values resulted in an overall increase of SEYLL by 10.8% as compared to the baseline SEYLL. Time-series analysis indicates an overall increase of SEYLL by 6.4%. In particular, group I (communicable, maternal, perinatal and nutritional) conditions showed highest increases with SEYLL-rates per 100,000 in 2010 being 1.4 times higher than 2001.ConclusionsThe study stresses the mortality impact of diseases and injuries that occur in earlier stages of life and thus presents the SEYLL measure as a more sensitive indicator compared to classical mortality indicators. SEYLL provide useful additional information and supplement available death statistics.
| S-EPMC3848717 | biostudies-literature
Project description:BackgroundThe increasing aging population has been posing a significant challenge to disease burden in developing countries. In particular, the contribution of population aging to and long term changes of disease burden of malignant neoplasm of female genital organs (MNFGO) have not been quantitatively demonstrated.MethodsData were collected from the Shanghai Vital Statistics System of Pudong New Area (PNA). Crude mortality rate (CMR), age-standardized mortality rate by Segi's world standard population (ASMRW), and years of life lost (YLL) of MNFGO as the underlying cause of death in age and pathology types from 1995 to 2018 were calculated. The joinpoint regression was used to estimate the trends of those rates by identifying the annual percent changes (APCs), and the decomposition method was used to calculate the increased rates and the contribution resulting from demographic and non-demographic factors.ResultsFrom 1995 to 2018, a total of 2869 MNFGO-specific deaths were reported in PNA, accounting for 0.64% of the total deaths. The CMR and ASMRW of MNFGO were 9.23/105 person-years and 4.80/105 person-years, respectively. Ovary cancer was the most common cause of MNFGO death, accounting for 43.9% (1260/2869) of all MNFGO death. Other common causes of MNFGO death included cervix uteri cancer, uterus unspecified cancer, and corpus uteri cancer. With the increase of age, the mortality rate of MNFGO in residents had shown an upward trend ([APC (95%CI) = 3.46 (2.74, 4.18), P < 0.001)] for each five-year age group from 0 to 4 to 85+ years. From 1995 to 2018, YLL of MNFGO in Shanghai PNA was 42,152.82 years, and the rate of YLL was 135.56 /105. The top three MNFGO types in YLLs were ovary cancer, cervix uteri cancer and uterus unspecified cancer. Demographic factors contributed significantly to the upward trends of CMR, ASMRW, and YLL rates of MNFGO.ConclusionWith aggravated population aging in Shanghai, MNFGO is and will continue to be a serious threat to women's health. More precise and effective prevention strategies are needed to target high risk population, to achieve efficient health resource allocation and to improve women's health in particular.
| S-EPMC7528500 | biostudies-literature
Project description:PurposeAn evaluation of mortality due to infectious diseases in Poland in 1999-2012 and an analysis of standard expected years of life lost due to the above diseases.MethodsThe study material included a database created on the basis of 5,219,205 death certificates of Polish inhabitants, gathered between 1999 and 2012 and provided by the Central Statistical Office. Crude Death Rates (CDR), Standardized Death Rates (SDR) and Standard Expected Years of Life Lost (SEYLL) due to infectious and parasitic diseases were also evaluated in the study period as well as Standard Expected Years of Life Lost per living person (SEYLLp) and Standard Expected Years of Life Lost per dead person (SEYLLd). Time trends were evaluated with the application of joinpoint models and an annual percentage change in their values.ResultsDeath certificates report that 38,261 people died due to infectious diseases in Poland in the period 1999-2012, which made up 0.73% of the total number of deaths. SDR caused by these diseases decreased, particularly in the male group: Annual Percentage Change (APC = -1.05; 95% CI:-2.0 to -0.2; p<0.05). The most positive trends were observed in mortality caused by tuberculosis (A15-A19) (APC = -5.40; 95% CI:-6.3 to -4.5; p<0.05) and also meningitis, encephalitis, myelitis and encephalomyelitis (G03-G04) (APC = -3.42; 95% CI:-4.7 to -2.1; p<0.05). The most negative mortality trends were observed for intestinal infectious diseases (A00-A09) Annual Average Percentage Change (AAPC = 7.3; 95% CI:3.1 to 11.7; p<0.05). SDR substantially decreased in the first half of the study period, but then significantly increased in the second half. Infectious and parasitic diseases contributed to a loss of around 37,000 standard expected years of life in 1999 and more than 28,000 in 2012. During the study period, the SEYLLp index decreased from 9.59 to 7.39 per 10,000 population and the SEYLLd index decreased from 14.26 to 10.34 years (AAPC = 2.3; 95% CI:-2,9 to -1.7; p<0.05).ConclusionsDespite smaller numbers of deaths reported from infectious causes these diseases still represent a serious problem for Poland compared to countries in Western Europe.
| S-EPMC5363939 | biostudies-literature
Project description:The analysis of causes impacting on premature mortality is an essential function of public health surveillance. Diverse methods have been used for accurately assessing and reporting the level and trends of premature mortality; however, many have important limitations, particularly in capturing actual early deaths. We argue that the framework of years of life lost (YLL), as conceptualized in disability-adjusted life-years (DALYs), is a robust and comprehensive measure of premature mortality. Global Burden of Disease study is systematically providing estimates of YLL; however, it is not widely adopted at country level, among other reasons because its conceptual and methodological bases seem to be not sufficiently known and understood. In this paper, we provide the concepts and the methodology of the YLL framework, including the selection of the loss of function that defines the time lost due to premature deaths, and detailed methods for calculating YLL metrics. We also illustrate how to use YLL to quantify the level and trends of premature non-communicable disease (NCD) mortality in the Americas. The tutorial style of the illustrative example is intended to educate the public health community and stimulate the use of YLL in disease prevention and control programmes at different levels.
| S-EPMC6693813 | biostudies-other
Project description:Excess Years of Life Lost due to exposure is an important measure of health impact complementary to rate or risk statistics. I show that the total excess Years of Life Lost due to exposure can be estimated unbiasedly by calculating the corresponding excess Years of Potential Life Lost given conditions that describe study validity (like exchangeability of exposed and unexposed) and assuming that exposure is never preventive. I further demonstrate that the excess Years of Life Lost conditional on age at death cannot be estimated unbiasedly by a calculation of conditional excess Years of Potential Life Lost without adopting speculative causal models that cannot be tested empirically. Furthermore, I point out by example that the excess Years of Life Lost for a specific cause of death, like lung cancer, cannot be identified from epidemiologic data without assuming non-testable assumptions about the causal mechanism as to how exposure produces death. Hence, excess Years of Life Lost estimated from life tables or regression models, as presented by some authors for lung cancer or after stratification for age, are potentially biased. These points were already made by Robins and Greenland 1991 reasoning on an abstract level. In addition, I demonstrate by adequate life table examples designed to critically discuss the Years of Potential Life Lost analysis published by Park et al. 2002 that the potential biases involved may be fairly extreme. Although statistics conveying information about the advancement of disease onset are helpful in exposure impact analysis and especially worthwhile in exposure impact communication, I believe that attention should be drawn to the difficulties involved and that epidemiologists should always be aware of these conceptual limits of the Years of Potential Life Lost method when applying it as a regular tool in cohort analysis.
| S-EPMC545055 | biostudies-literature
Project description:BackgroundResearchers and policy makers have determined that accounting for productivity costs, or "indirect costs," may be as important as including direct medical expenditures when evaluating the societal value of health interventions. These costs are also important when estimating the global burden of disease. The estimation of indirect costs is commonly done on a country-specific basis. However, there are few studies that evaluate indirect costs across countries using a consistent methodology.MethodsUsing the human capital approach, we developed a model that estimates productivity costs as the present value of lifetime earnings (PVLE) lost due to premature mortality. Applying this methodology, the model estimates productivity costs for 29 selected countries, both developed and emerging. We also provide an illustration of how the inclusion of productivity costs contributes to an analysis of the societal burden of smoking. A sensitivity analysis is undertaken to assess productivity costs on the basis of the friction cost approach.ResultsPVLE estimates were higher for certain subpopulations, such as men, younger people, and people in developed countries. In the case study, productivity cost estimates from our model showed that productivity loss was a substantial share of the total cost burden of premature mortality due to smoking, accounting for over 75 % of total lifetime costs in the United States and 67 % of total lifetime costs in Brazil. Productivity costs were much lower using the friction cost approach among those of working age.ConclusionsOur PVLE model is a novel tool allowing researchers to incorporate the value of lost productivity due to premature mortality into economic analyses of treatments for diseases or health interventions. We provide PVLE estimates for a number of emerging and developed countries. Including productivity costs in a health economics study allows for a more comprehensive analysis, and, as demonstrated by our illustration, can have important effects on the results and conclusions.
| S-EPMC3431987 | biostudies-literature
Project description:Complications after stroke increase disability or death. The disability-adjusted life-year (DALY) metric, developed by the World Health Organization to measure the global burden of disease, integrates both mortality and disability. Widely used in population-level data analyses, it has not been applied to individual patient-level data captured in outcome registries.We analyzed patient-level data from the outcome registry of 1254 consecutive patients with acute ischemic stroke enrolled between September 1, 2004, and August 31, 2005, in South Korea. For each subject, we calculated DALY lost due to the qualifying stroke and then analyzed additional DALY lost due to complications after stroke.For 1233 patients with available 3-month outcomes, the average DALY lost due to the index stroke was 3.82 (95% CI, 3.68 to 3.96). Any complications, neurological complications, and medical complications occurred in 34.0%, 20.8%, and 24.0%, respectively. The additional DALYs lost associated with any, neurological, and medical complications were 2.11 (95% CI, 1.78 to 2.44), 2.15 (95% CI, 1.72 to 2.59), and 1.99 (95% CI, 1.59 to 2.40), respectively. Patients with 1 complication had 1.52 (95% CI, 1.15 to 1.89) additional DALY lost, and those with >or=2 complications had 2.69 (95% CI, 2.18 to 3.20) additional DALY lost.Early poststroke complications deprive patients of approximately 2 years of optimum health. Greater numbers of complications are associated with greater loss of healthy life-years. DALY analysis quantifies the burden of poststroke complications with a uniform metric potentially useful for health system planners.
| S-EPMC2937160 | biostudies-literature
Project description:BackgroundEconomic cost estimates have the potential to provide a valuable alternative perspective on the COVID-19 burden. We estimate the premature mortality productivity costs associated with COVID-19 across Europe.MethodsWe calculated excess deaths between the date the cumulative total of COVID-19 deaths reached 10 in a country to 15th May 2020 for nine countries (Belgium, France, Germany, Italy, The Netherlands, Portugal, Spain, Sweden and Switzerland). Gender- and age-specific excess deaths and Years of Potential Productive Life Lost (YPPLL) between 30 and 74 years were calculated and converted into premature mortality productivity costs €2020 for paid and unpaid work using the Human Capital and the Proxy Good Approaches. Costs were discounted at 3.5%.ResultsTotal estimated excess deaths across the nine countries were 18,614 (77% in men) and YPPLL were 134,190 (77% male). Total paid premature mortality costs were €1.07 billion (87% male) with Spain (€0.35 billion, 33.0% of total), Italy (€0.22 billion; 20.6%) and The Netherlands (€0.19 billion; 17.5%) ranking highest. Total paid and unpaid premature mortality costs were €2.89 billion (77% male). Premature mortality costs per death ranged between €40,382 (France) and €350,325 (Switzerland). Spain experienced the highest premature mortality cost as a proportion of Gross Domestic Product (0.11%).ConclusionEven in the initial period of the pandemic in Europe, COVID-19-related premature mortality costs were significant across Europe. We provide policy makers and researchers with a valuable alternative perspective on the burden of the virus and highlight potential economic savings that may be accrued by applying timely public health measures.
| S-EPMC8379564 | biostudies-literature