Dataset Information

Health and productivity burden of coronary heart disease in the working Indonesian population using life-table modelling.

ABSTRACT: OBJECTIVES:The impact of coronary heart disease (CHD) and its effect on work productivity at a population level remains unknown in Indonesia. This study estimates the health and productivity lost to CHD in terms of years of life, quality-adjusted life years (QALYs) and productivity-adjusted life years (PALYs). SETTING AND PARTICIPANTS:A life-table model was constructed to simulate the experiences of Indonesians currently aged 15-54 years (working age) with CHD, followed-up to 55 years (retirement age). The life-table analysis was then repeated assuming that the cohort did not have CHD. Differences in the results reflected the impact of CHD. Demographical, prevalence and mortality data were based on the 2017 Global Burden of Disease study and 2018 Indonesian National Health Survey. Costs, productivity indices and utilities were derived from published sources. The cost of each PALY was assumed to be equivalent to gross domestic product per equivalent full-time worker (US$11 765). Future costs and outcomes were discounted by 3% annually. PRIMARY AND SECONDARY OUTCOME MEASURES:Differences in total deaths, years of life and PALYs represented the impact of CHD. RESULTS:At present, 1?954?543 (1.45%) Indonesians of working-age have CHD. By retirement age, it was estimated that CHD resulted in 32?492 (36.6%) excess deaths, 128?132 (0.5%) years of life lost, 2?331?495 (10.5%) QALYs lost and 1?589?490 (6.9%) PALYs lost. The economic impact of lost productivity amounted to US$33.3 billion, and healthcare costs to US$139 billion. CONCLUSION:The health and economic burden of CHD in Indonesia looms large. This highlights the importance of its prevention and control, strategies for which, if effective, will deliver financial return.

SUBMITTER: Uli RE

PROVIDER: S-EPMC7482464 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

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Health and productivity burden of coronary heart disease in the working Indonesian population using life-table modelling.

Uli Regina E RE Satyana Regina P U RPU Zomer Ella E Magliano Dianna D Liew Danny D Ademi Zanfina Z

BMJ open 20200909 9

<h4>Objectives</h4>The impact of coronary heart disease (CHD) and its effect on work productivity at a population level remains unknown in Indonesia. This study estimates the health and productivity lost to CHD in terms of years of life, quality-adjusted life years (QALYs) and productivity-adjusted life years (PALYs).<h4>Setting and participants</h4>A life-table model was constructed to simulate the experiences of Indonesians currently aged 15-54 years (working age) with CHD, followed-up to 55 y ...[more]

PMID: 32912956

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Project description:BackgroundCoronary heart disease (CHD) mortality in England fell by approximately 6% every year between 2000 and 2007. However, rates fell differentially between social groups with inequalities actually widening. We sought to describe the extent to which this reduction in CHD mortality was attributable to changes in either levels of risk factors or treatment uptake, both across and within socioeconomic groups.Methods and findingsA widely used and replicated epidemiological model was used to synthesise estimates stratified by age, gender, and area deprivation quintiles for the English population aged 25 and older between 2000 and 2007. Mortality rates fell, with approximately 38,000 fewer CHD deaths in 2007. The model explained about 86% (95% uncertainty interval: 65%-107%) of this mortality fall. Decreases in major cardiovascular risk factors contributed approximately 34% (21%-47%) to the overall decline in CHD mortality: ranging from about 44% (31%-61%) in the most deprived to 29% (16%-42%) in the most affluent quintile. The biggest contribution came from a substantial fall in systolic blood pressure in the population not on hypertension medication (29%; 18%-40%); more so in deprived (37%) than in affluent (25%) areas. Other risk factor contributions were relatively modest across all social groups: total cholesterol (6%), smoking (3%), and physical activity (2%). Furthermore, these benefits were partly negated by mortality increases attributable to rises in body mass index and diabetes (-9%; -17% to -3%), particularly in more deprived quintiles. Treatments accounted for approximately 52% (40%-70%) of the mortality decline, equitably distributed across all social groups. Lipid reduction (14%), chronic angina treatment (13%), and secondary prevention (11%) made the largest medical contributions.ConclusionsThe model suggests that approximately half the recent CHD mortality fall in England was attributable to improved treatment uptake. This benefit occurred evenly across all social groups. However, opposing trends in major risk factors meant that their net contribution amounted to just over a third of the CHD deaths averted; these also varied substantially by socioeconomic group. Powerful and equitable evidence-based population-wide policy interventions exist; these should now be urgently implemented to effectively tackle persistent inequalities.

Project description:BackgroundEstimating the burden of healthcare-associated infections (HAIs) compared to other communicable diseases is an ongoing challenge given the need for good quality data on the incidence of these infections and the involved comorbidities. Based on the methodology of the Burden of Communicable Diseases in Europe (BCoDE) project and 2011-2012 data from the European Centre for Disease Prevention and Control (ECDC) point prevalence survey (PPS) of HAIs and antimicrobial use in European acute care hospitals, we estimated the burden of six common HAIs.Methods and findingsThe included HAIs were healthcare-associated pneumonia (HAP), healthcare-associated urinary tract infection (HA UTI), surgical site infection (SSI), healthcare-associated Clostridium difficile infection (HA CDI), healthcare-associated neonatal sepsis, and healthcare-associated primary bloodstream infection (HA primary BSI). The burden of these HAIs was measured in disability-adjusted life years (DALYs). Evidence relating to the disease progression pathway of each type of HAI was collected through systematic literature reviews, in order to estimate the risks attributable to HAIs. For each of the six HAIs, gender and age group prevalence from the ECDC PPS was converted into incidence rates by applying the Rhame and Sudderth formula. We adjusted for reduced life expectancy within the hospital population using three severity groups based on McCabe score data from the ECDC PPS. We estimated that 2,609,911 new cases of HAI occur every year in the European Union and European Economic Area (EU/EEA). The cumulative burden of the six HAIs was estimated at 501 DALYs per 100,000 general population each year in EU/EEA. HAP and HA primary BSI were associated with the highest burden and represented more than 60% of the total burden, with 169 and 145 DALYs per 100,000 total population, respectively. HA UTI, SSI, HA CDI, and HA primary BSI ranked as the third to sixth syndromes in terms of burden of disease. HAP and HA primary BSI were associated with the highest burden because of their high severity. The cumulative burden of the six HAIs was higher than the total burden of all other 32 communicable diseases included in the BCoDE 2009-2013 study. The main limitations of the study are the variability in the parameter estimates, in particular the disease models' case fatalities, and the use of the Rhame and Sudderth formula for estimating incident number of cases from prevalence data.ConclusionsWe estimated the EU/EEA burden of HAIs in DALYs in 2011-2012 using a transparent and evidence-based approach that allows for combining estimates of morbidity and of mortality in order to compare with other diseases and to inform a comprehensive ranking suitable for prioritization. Our results highlight the high burden of HAIs and the need for increased efforts for their prevention and control. Furthermore, our model should allow for estimations of the potential benefit of preventive measures on the burden of HAIs in the EU/EEA.

Dataset Information

Health and productivity burden of coronary heart disease in the working Indonesian population using life-table modelling.

Publications

Health and productivity burden of coronary heart disease in the working Indonesian population using life-table modelling.

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