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Burden of Disease - DALY (YLD & YLL) worksheets

Page content: About DALYs | Estimation of YLD | Disability weights | Excel and DisMod files | Feedback | References

About disability-adjusted life years (DALYs)

The Victorian BOD studies (Mortality, and Morbidity) use the DALY as a population measure of incident lost years of healthy life due to a wide range of diseases, injuries and selected risk factors.

The DALY extends the concept of potential years of life lost due to premature death (PYLL) to include equivalent years of "healthy" life lost by virtue of being in states of ill-health. DALYs for a disease or health condition are calculated as the sum of the years of life lost due to premature mortality (YLL) in the population and the "years lived with disability" (YLD) for incident cases of the health condition:

DALY = YLL + YLD

The loss of healthy life due to non-fatal health conditions (YLD) requires estimation of the incidence of the health condition (disease or injury) in the specified time period. For each new case, the number of years of healthy life lost is obtained by multiplying the average duration of the condition (to remission or death) by a severity weight that measures the loss of healthy life using an average QALY weight for the disease state. The DALY is described in detail in Murray and Lopez (1996).

The Australian YLD calculations depart from the GBD methodology in the following three areas:

  • The GBD discounted YLDs at 3% per annum and applied age weights that gave higher weight to a year of life in young and mid adult years, and lower weight to a year of life at very young and older years. The Australian projects do not use age weights but are using a 3% discount rate in line with the GBD.

  • The Australian studies use a set of Dutch weights for conditions common in developed countries, supplemented by weights used in the GBD study for other conditions. In general, the Dutch and GBD weights are reasonably consistent, but in the longer term, it would be desirable to carry out weighting exercises in Australia to examine how appropriate the weights are in the Australian context.

  • The GBD did not attempt to deal with the effects of comorbidities on YLD estimates for individual diseases. The Australian project adjusts YLD estimates for comorbidities between mental disorders, between congenital malformations and between physical disorders at older ages.

General method for estimation of YLD

Years lived with disability are essentially calculated as follows (ignoring the complications of discounting):

YLD = No. incident cases x Average duration (years) x Disability weight

In order to make a consistent and meaningful estimate of YLD for a condition, it is crucial to clearly define the condition under consideration in terms of case or episode, and severity level or disease stage. It is then necessary to ensure that the disability weight and the population incidence/prevalence data relate to the same case definition. The most difficult step in estimating YLD for most diseases is matching existing population data to the disease stage/severity categories for which the weights are available. Getting this wrong can result in substantial error in the YLD estimate. Disability weights are discussed further below.

For some conditions, numbers of incident cases are available directly from disease registers or epidemiological studies, but for most conditions, only prevalence data are available. In these cases, a software program called Dismod is used to model incidence and duration from estimates of prevalence, remission, case fatality and background mortality. The underlying model is as follows:

Dismod modelling of incidence, prevalence and duration of disease

Figure 1. DisMod modelling of incidence, prevalence and duration of disease

Where remission rates and/or case fatality rates are not known, they are usually estimated from available evidence. While this affects the age distribution of incident cases and YLD, total YLD are quite insensitive to these assumptions, since the YLD are effectively determined by incidence x duration = prevalence. In other words, it does not make a whole lot of difference what combination of incidence and remission rates (and thus derived durations) you choose. If you aim at the same prevalence figures, the combination of even quite different incidence and duration figures will still lead to more or less the same YLD calculations.

Disability weights

The DALY uses explicit preference weights for health states. These preference weights are derived using a Person Trade Off method with small groups of health experts who are asked to determine weights for a set of indicator health conditions using a deliberative process (Murray and Lopez 1996). The Netherlands has carried out a project to measure weights for 53 diseases of public health importance, involving the estimation of weights for 175 disease stages and/or severity levels (Stouthard et al 1997).

The Dutch weights have the advantage of greater detail in terms of severity levels and disease stages, allowing Australian information on severity distributions and disease progression to be used. This goes some way towards allowing the use of population data on disability and health state distributions in the estimation of YLD. The Dutch study also described each disease stage in terms of a standardised health state description using a variant of the EuroQol classification of health states, the EQ-5D+, which included a sixth dimension for cognitive functioning.

There are some disease categories included in the Australian study for which there are no weights available in either the Dutch or GBD studies. To assist in estimating provisional weights for these, we have fitted a multiplicative regression model for the single attribute states defined by the six dimensions of the EQ-5D+. The regression model is fitted to the Dutch weights using the specified EQ-5D+ descriptions to define the independent variables and the estimated average weight as the dependent variable. This enables us to estimate provisional weights for conditions for which we can specify a description of the resulting health outcomes using the EQ-5D+.

Table 1. Some examples of disability weights from the Dutch study (Stouthard et al 1997)
Weight
Disease stage
0.00-0.01 Gingivitis, caries
0.01-0.05 Mild asthma, mild vision loss, mild hearing loss, basal cell skin cancer
0.05-0.10 Low back pain, uncomplicated diabetes case, mild angina
0.10-0.15 Mild depression, osteoarthritis (grade 2), epilepsy
0.15-0.20 Mild/mod. panic disorder, spina bifida (sacral), HIV positive
0.20-0.30 Breast cancer (disease free), anorexia, mild/mod. obsessive- compulsive disorder
0.30-0.40 Moderate depression, relapsing MS, severe asthma, chronic Hep B, deafness
0.40-0.50 0Blindness, spina bifida (L3-L5), osteoarthritis (grade 3-4)
0.50-0.65 Paraplegia, AIDS (1st stage), Down syndrome, severe PTSD
0.65-0.8 Cancer (diagnostic/treatment), severe depression, brain injury
0.8-1.0 Disseminated cancer, severe dementia, severe schizophrenia, quadriplegia

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Excel and DisMod files

All calculations of DALYs (YLD and YLL) presented in the Victorian Burden of Disease Study: Morbidity, can be downloaded as self-extracting Zipped Excel and DisMod files.

DisMod is a shareware software program developed at Harvard University that allows one to find a set of incidence rates by age that match observed prevalences, given estimates of remission rates and cause-specific mortality risk derived from population data or epidemiological studies.

Download the DisMod software from the Harvard University DisMod website

The self-extracting Zip (.exe) files, below, each contain a number of Excel and DisMod files. After downloading, double-click the .exe file to extract the compressed files.

Download files
Files
Description
Changes since first published

a_infect.exe

VA1 TB.xls

YLD worksheet

 
 

VA2 STD.xls

YLD worksheet

 
 

VA3 HIV.xls

YLD worksheet

 
 

VA4 Diarrhoea.xls

YLD worksheet

 
 

VA5 Vaccine preventable cluster.xls

YLD worksheet

 
 

VA6 Meningitis.xls

YLD worksheet

 
 

VA7 Septicaemia.xls

YLD worksheet

 
 

VA8 Arbovirus.xls

YLD worksheet

 
 

VA9a Hepatitis A.xls

YLD worksheet

 
 

VA9b Hepatitis B.xls

YLD worksheet

 
 

VA9c Hepatitis C.xls

YLD worksheet

 

b_respir.exe

VB1 LRTI.xls

YLD worksheet

 
 

VB2 URTI.xls

YLD worksheet

 
 

VB3 Otitis media.xls

YLD worksheet

 

c_matern.exe

VC Other maternal.xls

YLD worksheet

 
 

VC1 Maternal haemorrhage.xls

YLD worksheet

 
 

VC2 Maternal sepsis.xls

YLD worksheet

 
 

VC3 Hypertension in pregnancy.xls

YLD worksheet

 
 

VC4 Obstructed labour.xls

YLD worksheet

 
 

VC5 Abortion.xls

YLD worksheet

 

comorbid.exe

V Comorbidity.xls

worksheet: corrections for comorbidity

 

d_neonat.exe

VD1 Birth trauma & asphyxia.xls

YLD worksheet

 
 

VD2 Low birth weight.xls

YLD worksheet

 
 

VD3 Neonatal infections.xls

YLD worksheet

 
 

VD4 Other neonatal conditions.xls

YLD worksheet

 

dale.exe

DALE.xls

summary result file: DALE

 

dalys0_0.exe

Fin96 undiscounted.xls

"summary result file: YLL, YLD and DALY (0,0)"

 

dalys3_0.exe

Fin96.xls

"summary result file: YLL, YLD and DALY (3,0)"

 

dalys3_1.exe

Fin96 (3,1).xls

"summary result file: YLL, YLD and DALY (3,1)"

 

Dismod.exe

Large number of Dismod disease files with .MOD extension

Dismod files (also include Victorian and Australian population and mortality input data

 

e_nutrit.exe

VE2 Nutritional anaemia.xls

YLD worksheet

 

f_cancer.exe

VF1 Mouth & oropharynx cancer.xls

YLD worksheet

 
 

VF2 Oesophagus cancer.xls

YLD worksheet

 
 

VF3 Stomach cancer.xls

YLD worksheet

 
 

VF4 Colon & rectum cancer.xls

YLD worksheet

 
 

VF5 Liver cancer.xls

YLD worksheet

 
 

VF6 Gall bladder cancer.xls

YLD worksheet

 
 

VF7 Pancreas cancer.xls

YLD worksheet

 
 

VF8 Lung cancer.xls

YLD worksheet

 
 

VF9 Bone & connective tissue cancer.xls

YLD worksheet

 
 

VF10 Melanoma.xls

YLD worksheet

 
 

VF11 Non-melanoma skin cancer.xls

YLD worksheet

 
 

VF12 Breast cancer.xls

YLD worksheet

 
 

VF13 Cervix cancer.xls

YLD worksheet

 
 

VF14 Endometrium cancer.xls

YLD worksheet

 
 

VF15 Ovarium cancer.xls

YLD worksheet

 
 

VF16 Prostate cancer.xls

YLD worksheet

 
 

VF17 testis cancer.xls

YLD worksheet

 
 

VF18 bladder cancer.xls

YLD worksheet

 
 

VF19 Kidney cancer.xls

YLD worksheet

 
 

VF20 Brain cancer.xls

YLD worksheet

 
 

VF21 Thyroid cancer.xls

YLD worksheet

 
 

VF22 Lymphoma.xls

YLD worksheet

 
 

VF23 Leukemia.xls

YLD worksheet

 
 

VF24 Multiple myeloma.xls

YLD worksheet

 
 

VF25 Larynx cancer.xls

YLD worksheet

 

g_benign.exe

VG1 Myomata.xls

YLD worksheet

 
 

VG2 Benign brain tumours.xls

YLD worksheet

 
 

VG3 Other benign neoplasms.xls

YLD worksheet

 

h_diabet.exe

VH Diabetes.xls

YLD worksheet

 

il_endocr.exe

VI1a Thalassaemia.xls

YLD worksheet

 
 

VI1b Non-deficiency anaemia.xls

YLD worksheet

 
 

VI2 Cystic fibrosis.xls

YLD worksheet

 
 

VI3 Haemophilia.xls

YLD worksheet

 

inci_prev.exe

Incidence96.xls

summary result file: incident cases 1996

 
 

Prevalence96.xls

summary result file: prevalent cases 1996

 

j_mental.exe

Finpsych.xls

YLD worksheets for mental health disorders

31/1/2000: correction of duration anorexia 35-44 yr old females: 7.9 and not 8.9

 

VJ7 ADHD.xls

YLD worksheet

shorter duration in 0-5 age group after correction Dismod file which did not have remission in 3-6 age group stated: 31/1/2000

 

VJ7b Autism.xls

YLD worksheet

 

k_neurol.exe

VK1 Dementia.xls

YLD worksheet

 
 

VK2 Epilepsy.xls

YLD worksheet

 
 

VK3 Parkinson.xls

YLD worksheet

 
 

VK4 Multiple sclerosis.xls

YLD worksheet

 
 

VK5 Motor neuron disease.xls

YLD worksheet

 
 

VK6 Huntington.xls

YLD worksheet

 
 

VK7 Muscular dystrophy.xls

YLD worksheet

 
 

VK8a Glaucoma.xls

YLD worksheet

 
 

VK8b Cataract.xls

YLD worksheet

 
 

VK8c Vision disorders.xls

YLD worksheet

 
 

VK8d Hearing loss.xls

YLD worksheet

 
 

VK9 Intellectual disability.xls

YLD worksheet

 

l_cvd.exe

VL1 Rheumatic heart disease.xls

YLD worksheet

 
 

VL2 IHD.xls

YLD worksheet

correction of AMI admission figures (excl deaths in hospital): 31/1/2000

 

VL3 Stroke.xls

YLD worksheet

 
 

VL4 Inflammatory heart disease.xls

YLD worksheet

 
 

VL5 Hypertensive heart disease.xls

YLD worksheet

 
 

VL6 Non-rheumatic heart disease.xls

YLD worksheet

 
 

VL7 Aortic aneurysm.xls

YLD worksheet

 
 

VL8 Peripheral vascular disease.xls

YLD worksheet

 

m_chrres.exe

VM1 COPD.xls

YLD worksheet

 
 

VM2 Asthma.xls

YLD worksheet

 

n_digest.exe

VN1 Peptic ulcer disease.xls

YLD worksheet

 
 

VN2 Cirrhosis.xls

YLD worksheet

 
 

VN3 Appendicitis.xls

YLD worksheet

 
 

VN4 Intestinal obstruction.xls

YLD worksheet

 
 

VN5 Diverticulitis.xls

YLD worksheet

 
 

VN6 Gall bladder disease.xls

YLD worksheet

 
 

VN7 Pancreatitis.xls

YLD worksheet

 
 

VN8 Inflammatory bowel disease.xls

YLD worksheet

 
 

VN9 Vascular insufficiency intestine.xls

YLD worksheet

 

o_urogen.exe

VO1 Nephritis & nephrosis.xls

YLD worksheet

 
 

VO2 Benign Prostatic hypertrophy.xls

YLD worksheet

 
 

VO3 Incontinence.xls

YLD worksheet

 
 

VO4 Infertility.xls

YLD worksheet

 
 

VO6 Other urogenital.xls

YLD worksheet

 

p_skin.exe

VP1 Eczema.xls

YLD worksheet

 
 

VP2 Other skin diseases.xls

YLD worksheet

 

prevyld.exe

V Prevalent YLD.xls

summary result file: prevalent YLDs worksheet

 

projyld.exe

V Projection YLD.XLS

summary result file: projection of YLDs to 2016

 

projyll.exe

FPRJTR2.xls

"summary result file: projections of YLL (3,0)"

 

q_muscsk.exe

VQ1 Rheumatoid arthritis.xls

YLD worksheet

 
 

VQ2 Osteoarthritis.xls

YLD worksheet

 
 

VQ3 Chronic back pain.xls

YLD worksheet

 
 

VQ4 Slipped disc.xls

YLD worksheet

 
 

VQ5 OOS.xls

YLD worksheet

 
 

VQ6 Osteoporosis.xls

YLD worksheet

 
 

VQ7 Other musculoskeletal.xls

YLD worksheet

 

r_congen.exe

VR2 Spina bifida.xls

YLD worksheet

 
 

VR3 Congenital heart disease.xls

YLD worksheet

 
 

VR4 Cleft lip & palate.xls

YLD worksheet

 
 

VR5 Congenital digestive.xls

YLD worksheet

 
 

VR6 Congenital urogenital.xls

YLD worksheet

 
 

VR7 Abdominal wall defect.xls

YLD worksheet

 

riskf1.exe

V Risk factors.xls

summary risk factor worksheet

 
 

Rf Osteoporosis.xls

risk factor worksheet

 
 

V AB Depression.xls

risk factor worksheet

 
 

V Alcohol.xls

risk factor worksheet

 
 

V Tobacco.xls

risk factor worksheet

 

riskf2.exe

V Cholesterol.xls

risk factor worksheet

 
 

V Fruit & vegies.xls

risk factor worksheet

 
 

V Hypertension.xls

risk factor worksheet

 
 

V Illicit drug use.XLS

risk factor worksheet

 
 

V Obesity.xls

risk factor worksheet

 
 

V Occupation.xls

risk factor worksheet

 
 

V Physical inactivity.xls

risk factor worksheet

 
 

V Unsafe sex.xls

risk factor worksheet

 

s_oral.exe

VS1 Caries.xls

YLD worksheet

 
 

VS2 Periodontal disease.xls

YLD worksheet

 
 

VS3 Edentulism.xls

YLD worksheet

 

t_injury.exe

Injury YLDs

YLD worksheet for injuries

 
 

summary inj YLDs.xls

summary worksheet: injury YLD

 

x_illdef.exe

VX2 CFS.xls

YLD worksheet

 

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Feedback

These worksheets represent the first attempt in Australia to carry out a systematic and comprehensive analysis of the incidence, prevalence, remission, case fatality and severity of diseases ensuring internal consistency and using a common currency for years of healthy life lost due to premature mortality and non-fatal health states. YLD estimates have been made for 176 disease and injury categories involving over 1000 stages, severity levels and/or sequelae.

While every attempt has been made to identify the best available information in relation to each disease and injury category, and to consult as widely as possible, it must be emphasised that these YLD estimates should be seen as developmental. In some cases, it was not possible to go beyond simple models and assumptions about some key parameters, in the time frame available.

The worksheets are being made available to any interested persons in the hope that we will receive constructive criticism and feedback on data, assumptions, models and methods. We also hope that these worksheets will enable others to further develop and refine specific YLD estimates for subsequent analyses of burden of disease in Australia, or for specific disease or injury analyses.

Feedback is an essential component of the development process for burden of disease analyses so that future estimates are as useful as possible to epidemiologists, researchers, health planners and economic evaluation and health priority setting processes.

If you have questions or comments relating to the worksheets, please contact:

AIHW Burden of Disease project: bod@aihw.gov.au

or Colin Mathers, Australian Institute of Health and Welfare:
Email: colin.mathers@aihw.gov.au

or Theo Vos, Victorian Department of Human Services:
Email: theo.vos@dhs.vic.gov.au

References

Murray CJL, Lopez AD, eds. (1996) The Global Burden of Disease: a comprehensive assessment of mortality and disability from diseases, injuries and risk factors in 1990 and projected to 2020. Harvard: Harvard School of Public Health.

Stouthard MEA, Essink-Bot ML, Bonsel GJ, Barendregt JJ, Kramer PG, van de Water HPA, Gunning-Schepers LJ, van der Maas PJ (1997). Disability Weights for Diseases in the Netherlands. Rotterdam: Erasmus University.

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Last updated: 20 October, 2008
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