Suchergebnisse

BackgroundSBOD2015 was the first endeavour to produce burden of disease estimates in Scotland using linkage of routine health records. In 2017, the study highlighted disparities in burden due to morbidity and mortality with respect to age and gender for 132 conditions, diseases and injuries.
ObjectivesThe aim of SBOD2016 is to report on socioeconomic inequalities to provide further evidence to support preventable public health.
MethodsMorbidity estimates were estimated using an extensive range of administrative datasets to provide a transparent and systematic approach to describe non-fatal population health loss. Combining these estimates with the Global Burden of Disease 2016 study's relative assessment of severity and disability for each condition, we were able to calculate the Years Lived with Disability (YLD). Death registrations were used alongside life expectancy data to calculate the Years of Life Lost to premature mortality (YLL) as a measure of fatal burden.
FindingsPreliminary findings show a three-fold increase in the burden of disease between individuals living in the most deprived areas compared to the least deprived areas. The profile of diseases contributing the largest burden also varies between the most and least deprived areas.
ConclusionsBy combining information on fatal burden with the burden of living in less than ideal health (non-fatal burden), planners and policymakers have a better idea of the contribution that different diseases, conditions and injuries make to the total burden of disease and how this varies by levels of deprivation. This in turn provides information to support decisions about where prevention and service activity should be focused. It also provides a way of looking at the proportion of the burden that can be explained by a range of exposures in the population such as poverty or smoking.

ABSTRACT
ObjectivesThe gap between a population's actual and ideal health can be quantified by Disability-Adjusted Life Years (DALY). This metric combines the Years Lived with Disability (YLD) and Years of Life Lost (YLL). When supplemented by a Comparative Risk Assessment (CRA) it can depict the magnitude of disease burden and the effect that modifiable exposures contribute. We aim to utilise routine healthcare records to quantify the burden and potential reduction in DALY caused by stroke.
ApproachHospital stays involving a stroke diagnosis (ICD-9: 430-431, 433-34, 436; ICD-10: I60-61, I63-64) were identified through secondary care primary diagnoses from 1981-2013 and used to derive the incidence of acute stroke and the point-prevalence of chronic stroke. Disability weights for each health state of stroke sequelae were sourced from the Global Burden of Disease 2013 study and used to derive YLD. YLL for each death was calculated using Scotland-specific life tables for deaths where stroke was the underlying cause.
Eight waves of the Scottish Health Survey (SHES) from 1995-2012 were linked to secondary care and mortality records. Risk factors were identified from SHES then mapped to levels in the Dahlgren and Whitehead model and Population Attributable Fractions (PAFs) were calculated for each risk factor that was a significant casual risk of stroke from a Cox-proportional hazard regression model.
ResultsStroke was responsible for 47,836 DALY in Scotland during 2013 which was a reduction of 33.3% from 2000. The proportion of YLD contributing to DALY was 7.6% in 2000 rising to 14.4% in 2013. The main reasons for the changing profile of DALY are due to the large reduction in mortality and influence of the rising prevalence of chronic stroke. Stroke mortality reduced 34.3% during the period 2000-2013 from 7,013 deaths in 2000 to 4,610 in 2013, whilst chronic prevalence increased from 46,184 in 2000 to 59,367 in 2013.
Between 23.5 to 38.8% of excess first stroke incidence can be explained by education, social class and area deprivation, which were all significant predictors of stroke after adjusting for confounding. Altering the exposure distribution for each independent risk factor to its theoretical minimum risk exposure level could potentially reduce the DALY by between 9,615 to 15,882 in 2013.
ConclusionThis study highlights the benefit of using linked administrative health records to quantify the burden of stroke on the population and how public health interventions to tackle inequalities would be a method of reducing strokes in Scotland.