Burden of disease analysis provides a fuller assessment of population health beyond just mortality rates. It considers the impact of morbidity and estimates the effects of years lived with illness or disability. Common measures used in burden of disease analysis include disability-adjusted life years (DALYs) and quality-adjusted life years (QALYs), which combine mortality and morbidity into a single metric. Calculating DALYs and QALYs involves defining health states, assigning weights to different states, and combining estimates of life expectancy and duration of illness. Burden of disease analysis is useful for comparing population health over time and between regions, identifying major health problems, and informing health policy and resource allocation decisions.
1. BURDEN OF DISEASE ANALYSIS
By: Sourav Goswami
Moderator: Dr Subodh S Gupta
MGIMS, Sevagram
2. WHY Burden of Disease
(BOD)????
ïFor many years, population health was evaluated using
mortality-based indicators only. In other words, the health of
a population was determined by how many people died and
why â the causes and rates of death.
ïAlthough mortality-based indicators are useful, they do not
provide all the information necessary to assess the health of
a population or to compare the effectiveness of interventions
to protect or improve health . That is, they do not take into
consideration the effects of being ill, perhaps for many years,
before death or recovery.
ïSummary measures (BOD) provide a fuller account of the
health of a population because they include estimates of the
effects of morbidity as well as mortality.
3. FRAMEWORK
1. Definition of BOD
2. Understanding BOD
3. Uses & Effects of BOD
4. How to measure BOD?
5. HALY
6. DALY
7. QALY
8. India State-level Disease Burden Initiative
5. Burden DiseaseOf
- Abnormal condition affecting the body
- Pain, Dysfunction, Stress, Social Problem & Death
- Infectious and non-infectious causes
How Disease Holds US back
6. Definition of BOD
ïBurden of disease (BoD) is the burden
that a particular disease process has in a
particular area as measured by cost,
morbidity, and mortality.
ï It is quantified by so called summary
measures of population health (SMPH).
8. USES OF BOD
1. To compare population health across
communities and over time.
2. To provide a full picture of which diseases,
injuries and risk factors contribute the most to
poor health in a specific population, including
identification of the most important health
problems and whether they are getting better or
worse over time.
3. To assess which information or sources of
information are missing, uncertain, or of low
quality.
10. History of BOD
ï1940s: Concept of âYears of Life Lostâ.
ï1971: Sullivanâs Index
ï1983: Quality Adjusted Life Expectancy (QALE).
ï1990: GBD study â DALYs.
ï1998: HeaLY
ïDALE, HALE, QALY, followed
11. How we measure the burden?
QUANTITY QUALITY
- Life expectancy (LE)
- Years of potential life lost (YPLL)
- Heath Adjusted Life Expectancy (HALE)
- QALY- quality
- DALY- Disability
80(LE) â 60(Age at death) = 20
i.e the no of healthy years lived
Eg, 50 years was healthy out of 60 years
12. Health-Adjusted Life Years (HALYs)
ïHALY are the population health summary measures
typically used in estimates of the burden of disease.
ïThey measure the combined effects of mortality and
morbidity in populations, allowing for comparisons across
illnesses or interventions as well as between populations .
ïTwo common approaches to measuring HALYs are
ï Disability-Adjusted Life Years (DALYs) and
ïQuality-Adjusted Life Years (QALYs).
13. Some basic facts regarding DALY &
QALY
ïBoth DALYs and QALYs are based on the latest
available epidemiological data.
ï The data must be assessed for completeness
and diagnostic accuracy, and can be drawn
from a variety reportable disease registries, a
healthcare administration databases, censuses,
national and local surveillance data, autopsies,
hospital records, surveys (e.g., road safety,
institutional, house- hold or health surveys),
police records, death certificates and mortuary
records.
14. Some basic facts regarding DALY &
QALY
Regardless of whether DALYs, QALYs or some other
calculations of HALYs are measured, there are three steps
involved:
ï1. The health state or disease conditions associated with
a pathogen or disease analysed are defined and described
(morbidity);
ï2. Each health state described in step 1 is given a
weighted value, often called a Health-Related Quality
of Life (HRQL) value; and
ï3. The value of each health state is combined with
estimates of life expectancy (mortality) .
15. Disability-Adjusted Life Years
(DALYs)
ïOne DALY can be thought of as one lost year of
"healthy" life.
ïThe sum of these DALYs across the population, or
the burden of disease, can be thought of as a
measurement of the gap between current health
status and an ideal health situation where the
entire population lives to an advanced age, free
of disease and disability.
16. DALY
Standardized quantitative measure of the BOD
DALY = MORTALITY
(Years of life lost
due
to premature
death)
+ MORBIDITY
(The measure of all
non fatal disease effects
such as illness episodes
Or chronic disability)
19. Example of DALY
LE = 65yDied at
50 y
Born
0.5 0.2 0.6 0.3
2 yr 1 yr 5 yr
2 yr
MORBIDITY (DA)
0.5*2 +0.2*1 + 0.6*5 + 0.3*1
= 4.5 DALY
MORTALITY (LY)
LE Age at Deathâ
65 50 = 15 DALYâ
So, DALY = 4.5 + 15 = 19.5
21. DALY
ïYLL = N X L
Where, N = No of deaths
L = Standard of life expectancy at age of death in years
On a population basis the YLLs for a given
age basically correspond to the number of
deaths for that given age multiplied by the
standard life expectancy at the age at
which death occurs
On an individual basis the YLLs for an individual
person correspond to the standard life expectancy
at the age at which death occurs.
YLL
22. DALY
ïYLD = I X DW X L
Where, I = No of incident cases
DW = Disability Weight
L = Ave. duration of case until remission or
death (years)
On an individual basis the basic formula for calculation of
YLDs is the following :
YLD = DW Ă L
23. Disability Weight
ï§ The term âdisabilityâ used broadly in BoD analyses refers to
departures from good or ideal health in any of the important
domains of health.
ï§ These include mobility, self-care, participation in usual activities,
pain and discomfort, anxiety and depression, and cognitive
impairment.
ï§ In some contexts, âhealthâ is understood to mean âabsence of
illnessâ, but in the context of BOD, health is given a broader
meaning. As well as implying the absence of illness, it also
means that there are no impairments or functional limitations
due to previous illness or injury.
ï§ Disability may be short-term or long-term. Eg, a day with a
common cold is a day with disability.
What is DISABILITY,
in the context of BOD???
24. How the concept of disability
weightage came into existence?
ï On one side, there are health conditions that
frequently cause significant disability or death,
while on the other side there are those conditions
that rarely cause death but may cause severe and/or
prolonged disability. The other health conditions
can cause severe disability but they occur late in life
and they are of shorter duration
ïStroke
ïDown syndrome
ïAlzheimerâs disease
25. Disability Weight
ïTheses are used both in calculating DALY and QALY.
ïDW are used to represent the HRQL in DALYs based on
non- fatal heath outcomes as described in the ICD
ïOnce a condition/disability is assigned a value on a scale
from 0 and 1, where 0 represents PERFECT HEALTH and
1 represents DEATH ( Note: This is the reverse of the
scale used for QALYs)
ïThis dataset provides the disability weights for the 235
unique health states used to estimate nonfatal health
outcomes for the GBD 2015 study.
28. DALY
Other social values taken into consideration for calculating
DALY:
ïDiscounting
ïAge-weighting
29. Age- Weighting
ïThis approach favors young adults who are âproductiveâ
in their communities and contributing to the economy,
leaving out the very young and older adults, who are
more dependent.
ïIn the GBD study, a year of healthy life lived at younger
and older ages was weighted lower than for other ages.
ïIn other words, the GBD study chose to value a year of
life in young adulthood more than a year in old age or
infancy.
30. Discounting
ïStudies have shown that people have preferences regarding
the moment at which death or disability occur.
ïPeople generally prefer a healthy year of life immediately, rather
than in the future, if given the choice.
ïThe DALY measures the future stream of healthy years of life
lost due to each incident case of disease or injury.
ïDiscounting health with time reflects the social preference of a
healthy year now, rather than in the future. To do this, the
value of a year of life is generally decreased annually by a
fixed percentage.
ïTo estimate the net present value of years of life lost, the GBD study
applied a 3% time discount rate to YLL in the future.
ïWith this discount rate, a year of healthy life gained 10 years from
now is worth 24% less than a year gained now.
31. Calculation of DALYs with discounting
and age weighting
ïIf both age-weighting and discounting are applied, and
the years between the event and the life expectancy are
summed, the initially simple formulas for YLL( N X L) and
YLD ( I X DW X L) become more complicated (formula
for a single death).
ïThese formulas have also been programmed into
calculation spreadsheet templates for DALYs that are
available at the WHO website
34. Quality-Adjusted Life Years
(QALYs)
ïQALY is a generic measure of disease burden, including both
the quality and the quantity of life lived.
ïIt can measure both the effectiveness and Cost- effectiveness
of an intervention.
ïFor example, QALYs can compare an intervention that can help
prolong life but has serious side effects (such as permanent
disability caused by radiation or chemotherapy for cancer), VS
an intervention that improves quality of life without prolonging it
(such a palliative pain management).
ïThe measure can give an idea of how many extra months or
years of life of reasonable quality of health a person might gain
with each intervention
ïSo, it can be used to determine where resources should be
allocated.
36. Understanding QALY
Length of life (years)
Quality
Of life
0
1
Dead
Perfect
Health
To calculate QALY, we multiply
â Length of lifeâ X â Quality of Lifeâ
39. Comparing TWO treatment
options
Length of life (years)
Quality
Of life
0
1
Dead
Perfect
Health
0.8
0.75
62
2 X 0.75
= 1.5 QALY
6 X 0.8
= 4.8 QALY
So, QALY gain = 3.3 ( 4.8 â 1.5 )
Old T/T
New T/t
40. DALY
ïIt is an absolute
measure used to
compare disease
burden in
populations.
ïThe goal is to
minimize the âbadâ
of gaps in health.
ïDALYs use disability
weights (0=perfect
health and 1=death)
QALY
ïIt is used to analyse
clinical
interventions.
ïThe goal is to
maximize the
âgoodâ of quality of
life.
ïQALYs use utility
weights (0 = death
and = perfect health)
41. Critics of DALY & QALY
ïDiscriminates against young and the
old(DALY)
ïNo Male-Female difference in length of
life(DALY)
ïDiscounting future health outcomes(DALY)
ïDoesnât help determine the right
intervention (DALY + QALY)
ïDoes not assess qualitative difference in
outcomes (DALY + QALY)
42. DALE
Disability Adjusted Life Expectancy
ïDALE integrates data on
ïMortality
ïLong â term institutionalization
ïActivity limitations
ïMeasures Quality and Quantity of life
ïA set of weights is assigned to four states of
health
ïno activity limitations
ïactivity limitations in leisure activities or transportation
ïactivity limitations at work, home and/or school
ïinstitutionalization in a health care facility
43. HALE
Health Adjusted Life Expectancy
ïHealth-adjusted life expectancy is the number of years in
full health that an individual can expect to live given the
current morbidity and mortality conditions.
ïHealth-adjusted life expectancy uses the Health Utility
Index (HUI) to weigh years lived in good health higher
than years lived in poor health.
ïMeasure of quantity and quality of life
44. India State-level Disease Burden
Initiative
ïThe State-level Disease Burden Initiative in India was launched
in October 2015 as a collaboration between ICMR, PHFI,
Institute for Health Metrics and Evaluation (IHME) and a
number of other key stakeholders in India, including academic
experts and institutions, government agencies and other
organizations.
ïThis Initiative is expected to contribute substantially in
development of appropriate health policy debate through
production of reliable state-level estimates of disease burden
and risk factors, as well as improvement of systems to produce
these estimates on an ongoing basis to monitor changing
trends at the local levels.
ïThe state-level disease burden estimates in India are
part of the Global Burden of Disease (GBD) study.
45. To Sum Up
ïThe GBD study is the most comprehensive and
consistent set of estimates of morbidity and
mortality by age, sex and region.
ï DALY quantify burden while QALY quantify health.
ïFor QALY, bigger is better; but for DALY, smaller is
better.
ïHeath programs try to AVERT DALY
ïApart from their opposite signs, DALYs and QALYs
are almost equivalent.
ïNow, DALY have become the accepted way to
quantify GBD allowing us to compare the disease
burden in terms of age, country and region, types of
disease and more
46. GBD Compare
(Institute of Heath Metrics and Evaluation)
ïhttps://vizhub.healthdata.org/gbd-compare/
ïhttp://www.healthdata.org
53. References
1. L Julie. Understanding the Measurement of Global
Burden of Disease. National Collaborating Center for
Infectious Disease. 2015. Available:
https://nccid.ca/publications/understanding-the-measurement
/
2. Hyder AA, Lie L, Morrow R H, Ghaffar A. Application Of
Burden Of Disease Analyses In Developing Countries.
Global Forum for Health Research; 2006. Geneva,
Switzerland
3. Donev D, Zaletel-Kragelj L, Bjegovi V, Burazeri G.Ä
Measuring the burden of disease: Disability Adjusted Life
Years (DALY). Methods and tools in public health.
2010;30:715
4. Murray CJL. Summary measures of population health,
2002: concepts, ethics, measurement and applications:
World Health Organization; 2002
54. References
5. Salomon JA, Vos T, Hogan DR, Gagnon M, Naghavi M,
Mokdad A, et al. Common values in assessing health
outcomes from disease and injury: disability weights
measurement study for the Global Burden of Disease Study
2010. The Lancet. 2013;380(9859):2129-43.
6. World Health Organization. Global Health Risk: Mortality
and burden of disease attributable to selected major risks:
2009; Geneva.
7. Institute for Health Metrics and Evaluation. Protocol for
the
Global Burden of Diseases, Injuries, and Risk Factors Study
(GBD). Version 2.0: 14 March 2015; Seattle, USA
Hinweis der Redaktion
1940s: Concept of âYears of Life Lostâ.
1971: Sullivanâs Index
1983: Quality Adjusted Life Expectancy (QALE).
Summary measures of population health are measures that combine information on mortality and non-fatal health outcomes to represent the health of a particular population as a single number.
Over the past 30 years or so, several indicators have been developed to adjust mortality to reflect the impact of morbidity or disability. These measures fall into two basic categories, health expectancies and health gaps
Each of these steps includes methods and social value choices that affect the final estimates.
Both DALYs and QALYs are used to estimate HALYs and the burden of disease. However, they are used for
different purposes, and are therefore calculated in different ways.
The GBD 2010 study used a YLD calculation based on prevalence rather than incidence of disability. These includes:
the term âdisabilityâ is used broadly in BoD
analyses to refer to departures from good or ideal health in any of the important domains
of health. These include mobility, self-care, participation in usual activities, pain and
discomfort, anxiety and depression, and cognitive impairment. In some contexts, âhealthâ
is understood to mean âabsence of illnessâ, but in the context of summary measures of
population health, health is given a broader meaning. As well as implying the absence of
illness, it also means that there are no impairments or functional limitations due to previous
illness or injury. Note that disability (i.e. a state other than ideal health) may be short-term
or long-term. For example, a day with a common cold is a day with disability.
The GBD 2010 study used a YLD calculation based on prevalence rather than incidence of disability. These includes:
the term âdisabilityâ is used broadly in BoD
analyses to refer to departures from good or ideal health in any of the important domains
of health. These include mobility, self-care, participation in usual activities, pain and
discomfort, anxiety and depression, and cognitive impairment. In some contexts, âhealthâ
is understood to mean âabsence of illnessâ, but in the context of summary measures of
population health, health is given a broader meaning. As well as implying the absence of
illness, it also means that there are no impairments or functional limitations due to previous
illness or injury. Note that disability (i.e. a state other than ideal health) may be short-term
or long-term. For example, a day with a common cold is a day with disability.
The GBD 2010 study used a YLD calculation based on prevalence rather than incidence of disability. These includes:
the term âdisabilityâ is used broadly in BoD
analyses to refer to departures from good or ideal health in any of the important domains
of health. These include mobility, self-care, participation in usual activities, pain and
discomfort, anxiety and depression, and cognitive impairment. In some contexts, âhealthâ
is understood to mean âabsence of illnessâ, but in the context of summary measures of
population health, health is given a broader meaning. As well as implying the absence of
illness, it also means that there are no impairments or functional limitations due to previous
illness or injury. Note that disability (i.e. a state other than ideal health) may be short-term
or long-term. For example, a day with a common cold is a day with disability.
LE = A + B
LE = total life expectancy at birth
A = time lived in optimal health
B = time lived in suboptimal health
HE = A + f ( B)
HE = health expectancy
A = time lived in optimal health
B = time lived in suboptimal health
f(B) = function that assigns weights to years lived in suboptimal health (optimal health
has a weight of 1)
HG = C + g( B) Equation 3.
HG = health gap
B = time lived in suboptimal health
C = time lost due to mortality (premature death)
f(B) = function that assigns weights to health states lived during time B, but where a
weight of 1 equals to time lived in a health state equivalent to death