SlideShare ist ein Scribd-Unternehmen logo
1 von 54
BURDEN OF DISEASE ANALYSIS
By: Sourav Goswami
Moderator: Dr Subodh S Gupta
MGIMS, Sevagram
WHY Burden of Disease
(BOD)????
For 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 – the causes and rates of death.
Although 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.
Summary 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.
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
BURDEN
Disease  Malaria
 TB
 AIDS
 Cancer
Burden DiseaseOf
- Abnormal condition affecting the body
- Pain, Dysfunction, Stress, Social Problem & Death
- Infectious and non-infectious causes
How Disease Holds US back
Definition of BOD
Burden of disease (BoD) is the burden
that a particular disease process has in a
particular area as measured by cost,
morbidity, and mortality.
 It is quantified by so called summary
measures of population health (SMPH).
EFFECTS OF BOD
Body
Mind/Emotions
Relationships
Work etc
Community
Development
Social services
Heath care
systems
Economy
Productivity
Education
Personal
Societal
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.
Work
School School
Exhaustion
Sickness
Work
Work
DEATH
$
Understanding BOD
( say for Malaria)
RS 1000/-
Rs 5000/-
Anemia
History of BOD
1940s: Concept of “Years of Life Lost”.
1971: Sullivan’s Index
1983: Quality Adjusted Life Expectancy (QALE).
1990: GBD study – DALYs.
1998: HeaLY
DALE, HALE, QALY, followed
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) – 60(Age at death) = 20
i.e the no of healthy years lived
Eg, 50 years was healthy out of 60 years
Health-Adjusted Life Years (HALYs)
HALY are the population health summary measures
typically used in estimates of the burden of disease.
They measure the combined effects of mortality and
morbidity in populations, allowing for comparisons across
illnesses or interventions as well as between populations .
Two common approaches to measuring HALYs are
 Disability-Adjusted Life Years (DALYs) and
Quality-Adjusted Life Years (QALYs).
Some basic facts regarding DALY &
QALY
Both DALYs and QALYs are based on the latest
available epidemiological data.
 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.
Some basic facts regarding DALY &
QALY
Regardless of whether DALYs, QALYs or some other
calculations of HALYs are measured, there are three steps
involved:
1. The health state or disease conditions associated with
a pathogen or disease analysed are defined and described
(morbidity);
2. Each health state described in step 1 is given a
weighted value, often called a Health-Related Quality
of Life (HRQL) value; and
3. The value of each health state is combined with
estimates of life expectancy (mortality) .
Disability-Adjusted Life Years
(DALYs)
One DALY can be thought of as one lost year of
"healthy" life.
The 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.
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)
DALY
MORTALITY
Life expectancy − Age at Death = LY
(Life years
Lost due
to
Disease)
DALY
DISABILITY WEIGHT
Range:
0 (Fully Healthy) to 1 (100% Disabled)
MORBIDITY
DA (Disability Adjustment) = Disability wt X
Duration
Of
illness
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 Death−
65 50 = 15 DALY−
So, DALY = 4.5 + 15 = 19.5
Disability-Adjusted Life Years
(DALYs)
DALY
YLL = 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
DALY
YLD = 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 × L
Disability Weight
 The term “disability” used broadly in BoD analyses refers 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, “health” is understood to mean “absence of
illness”, 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.
 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???
How the concept of disability
weightage came into existence?
 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
Stroke
Down syndrome
Alzheimer’s disease
Disability Weight
Theses are used both in calculating DALY and QALY.
DW are used to represent the HRQL in DALYs based on
non- fatal heath outcomes as described in the ICD
Once 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)
This dataset provides the disability weights for the 235
unique health states used to estimate nonfatal health
outcomes for the GBD 2015 study.
Disability Weight
Disability Weight
DALY
Other social values taken into consideration for calculating
DALY:
Discounting
Age-weighting
Age- Weighting
This approach favors young adults who are “productive”
in their communities and contributing to the economy,
leaving out the very young and older adults, who are
more dependent.
In the GBD study, a year of healthy life lived at younger
and older ages was weighted lower than for other ages.
In other words, the GBD study chose to value a year of
life in young adulthood more than a year in old age or
infancy.
Discounting
Studies have shown that people have preferences regarding
the moment at which death or disability occur.
People generally prefer a healthy year of life immediately, rather
than in the future, if given the choice.
The DALY measures the future stream of healthy years of life
lost due to each incident case of disease or injury.
Discounting 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.
To estimate the net present value of years of life lost, the GBD study
applied a 3% time discount rate to YLL in the future.
With this discount rate, a year of healthy life gained 10 years from
now is worth 24% less than a year gained now.
Calculation of DALYs with discounting
and age weighting
If 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).
These formulas have also been programmed into
calculation spreadsheet templates for DALYs that are
available at the WHO website
Calculation of DALYs with discounting and
age weighting
Calculation of DALYs with discounting and
age weighting
Quality-Adjusted Life Years
(QALYs)
QALY is a generic measure of disease burden, including both
the quality and the quantity of life lived.
It can measure both the effectiveness and Cost- effectiveness
of an intervention.
For 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).
The 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
So, it can be used to determine where resources should be
allocated.
Quality-Adjusted Life Years
(QALYs)
QALY = Additional no of years of life X
HRQL
# HRQL = Heath Related Quality of life
Understanding QALY
Length of life (years)
Quality
Of life
0
1
Dead
Perfect
Health
To calculate QALY, we multiply
“ Length of life” X “ Quality of Life”
Understanding QALY
Length of life (years)
Quality
Of life
0
1
Dead
Perfect
Health
0.5
10
10 X 0.5 = 5 QALY
Understanding QALY
Length of life (years)
Quality
Of life
0
1
Dead
Perfect
Health
6
1 X 6 = 6 QALY
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 − 1.5 )
Old T/T
New T/t
DALY
It is an absolute
measure used to
compare disease
burden in
populations.
The goal is to
minimize the “bad”
of gaps in health.
DALYs use disability
weights (0=perfect
health and 1=death)
QALY
It is used to analyse
clinical
interventions.
The goal is to
maximize the
“good” of quality of
life.
QALYs use utility
weights (0 = death
and = perfect health)
Critics of DALY & QALY
Discriminates against young and the
old(DALY)
No Male-Female difference in length of
life(DALY)
Discounting future health outcomes(DALY)
Doesn’t help determine the right
intervention (DALY + QALY)
Does not assess qualitative difference in
outcomes (DALY + QALY)
DALE
Disability Adjusted Life Expectancy
DALE integrates data on
Mortality
Long – term institutionalization
Activity limitations
Measures Quality and Quantity of life
A set of weights is assigned to four states of
health
no activity limitations
activity limitations in leisure activities or transportation
activity limitations at work, home and/or school
institutionalization in a health care facility
HALE
Health Adjusted Life Expectancy
Health-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.
Health-adjusted life expectancy uses the Health Utility
Index (HUI) to weigh years lived in good health higher
than years lived in poor health.
Measure of quantity and quality of life
India State-level Disease Burden
Initiative
The 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.
This 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.
The state-level disease burden estimates in India are
part of the Global Burden of Disease (GBD) study.
To Sum Up
The GBD study is the most comprehensive and
consistent set of estimates of morbidity and
mortality by age, sex and region.
 DALY quantify burden while QALY quantify health.
For QALY, bigger is better; but for DALY, smaller is
better.
Heath programs try to AVERT DALY
Apart from their opposite signs, DALYs and QALYs
are almost equivalent.
Now, 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
GBD Compare
(Institute of Heath Metrics and Evaluation)
https://vizhub.healthdata.org/gbd-compare/
http://www.healthdata.org
How long do people live in India?
What causes most deaths in India?
What heath problems cause most disability in India?
Thank
you
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.ć
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
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

Weitere Àhnliche Inhalte

Was ist angesagt?

Global Burden of Disease Study - 2010
Global Burden of Disease Study - 2010Global Burden of Disease Study - 2010
Global Burden of Disease Study - 2010
Rizwan S A
 
Mortality and mobidity indicators
Mortality and mobidity indicatorsMortality and mobidity indicators
Mortality and mobidity indicators
Priyamadhaba Behera
 
Measurements in epidemiology
Measurements in epidemiologyMeasurements in epidemiology
Measurements in epidemiology
Rizwan S A
 

Was ist angesagt? (20)

Epidemiologic transition
Epidemiologic transitionEpidemiologic transition
Epidemiologic transition
 
Introduction to epidemiology
Introduction to epidemiologyIntroduction to epidemiology
Introduction to epidemiology
 
natural history of disease
natural history of diseasenatural history of disease
natural history of disease
 
Natural history & spectrum of diseases
Natural history & spectrum of diseasesNatural history & spectrum of diseases
Natural history & spectrum of diseases
 
Measurements of morbidity and mortality
Measurements of morbidity and mortalityMeasurements of morbidity and mortality
Measurements of morbidity and mortality
 
Public health surveillance
Public health surveillancePublic health surveillance
Public health surveillance
 
Public Health Surveillance
Public Health SurveillancePublic Health Surveillance
Public Health Surveillance
 
The Burden of Disease: Data analysis, interpretation and linear regression
The Burden of Disease: Data analysis, interpretation and linear regressionThe Burden of Disease: Data analysis, interpretation and linear regression
The Burden of Disease: Data analysis, interpretation and linear regression
 
Epidemiology of non-communicable disease
Epidemiology of non-communicable disease Epidemiology of non-communicable disease
Epidemiology of non-communicable disease
 
DALYs and QALYs by samrat gurung
DALYs and QALYs by samrat gurungDALYs and QALYs by samrat gurung
DALYs and QALYs by samrat gurung
 
Epidemiology of communicable diseases
Epidemiology of communicable diseasesEpidemiology of communicable diseases
Epidemiology of communicable diseases
 
History Of Epidemiology for Graduate and Postgraduate students
History Of Epidemiology for Graduate and Postgraduate studentsHistory Of Epidemiology for Graduate and Postgraduate students
History Of Epidemiology for Graduate and Postgraduate students
 
Concept of Public Health and Its Challenges
Concept of Public Health and Its ChallengesConcept of Public Health and Its Challenges
Concept of Public Health and Its Challenges
 
Dalys
DalysDalys
Dalys
 
Public Health - Introduction
Public Health - IntroductionPublic Health - Introduction
Public Health - Introduction
 
Global Burden of Disease Study - 2010
Global Burden of Disease Study - 2010Global Burden of Disease Study - 2010
Global Burden of Disease Study - 2010
 
Mortality and mobidity indicators
Mortality and mobidity indicatorsMortality and mobidity indicators
Mortality and mobidity indicators
 
Measurements in epidemiology
Measurements in epidemiologyMeasurements in epidemiology
Measurements in epidemiology
 
Global Burden of Disease (GBD) 2017 study findings
Global Burden of Disease (GBD) 2017 study findingsGlobal Burden of Disease (GBD) 2017 study findings
Global Burden of Disease (GBD) 2017 study findings
 
Dynamics of disease transmission
Dynamics of disease transmissionDynamics of disease transmission
Dynamics of disease transmission
 

Ähnlich wie Burden of Disease Analysis

Global burden of dz online course
Global burden of dz online course Global burden of dz online course
Global burden of dz online course
Chanakan Sojayapan
 

Ähnlich wie Burden of Disease Analysis (20)

DALYs" Disability Adjusted Life Years
DALYs" Disability Adjusted Life YearsDALYs" Disability Adjusted Life Years
DALYs" Disability Adjusted Life Years
 
Healthcare Outcome Measurement - Health Economics.pptx
Healthcare Outcome Measurement - Health Economics.pptxHealthcare Outcome Measurement - Health Economics.pptx
Healthcare Outcome Measurement - Health Economics.pptx
 
Disability indicators ppt
Disability indicators  pptDisability indicators  ppt
Disability indicators ppt
 
Quality of life
Quality of lifeQuality of life
Quality of life
 
Measures Of Morbidity
Measures Of MorbidityMeasures Of Morbidity
Measures Of Morbidity
 
Burden of disease health indicators
Burden of disease health indicatorsBurden of disease health indicators
Burden of disease health indicators
 
Basics of Health and population statstistics
Basics of Health and population statstisticsBasics of Health and population statstistics
Basics of Health and population statstistics
 
Measuring health
Measuring healthMeasuring health
Measuring health
 
Global burden of dz online course
Global burden of dz online course Global burden of dz online course
Global burden of dz online course
 
Global Burden of Disease.pptx
Global Burden of Disease.pptxGlobal Burden of Disease.pptx
Global Burden of Disease.pptx
 
Concept of health.ppt
Concept of health.pptConcept of health.ppt
Concept of health.ppt
 
Gbdlecture
GbdlectureGbdlecture
Gbdlecture
 
Indicators of health
Indicators of healthIndicators of health
Indicators of health
 
Cost Utility Analysis
Cost Utility AnalysisCost Utility Analysis
Cost Utility Analysis
 
Concept of health and disease
Concept of health and diseaseConcept of health and disease
Concept of health and disease
 
Health indiciator year 2014
Health indiciator year 2014Health indiciator year 2014
Health indiciator year 2014
 
Global Burden of Diseases - Methodologies
Global Burden of Diseases - MethodologiesGlobal Burden of Diseases - Methodologies
Global Burden of Diseases - Methodologies
 
Indicators of health
Indicators of healthIndicators of health
Indicators of health
 
Sociology 2 concept of health and disease
Sociology 2 concept of health and diseaseSociology 2 concept of health and disease
Sociology 2 concept of health and disease
 
Health status of the community
Health status of the communityHealth status of the community
Health status of the community
 

Mehr von sourav goswami

Mehr von sourav goswami (15)

Active ageing
Active ageingActive ageing
Active ageing
 
Epidemiology of Cancer
Epidemiology of CancerEpidemiology of Cancer
Epidemiology of Cancer
 
Basics of Health economics
Basics of Health economicsBasics of Health economics
Basics of Health economics
 
List new
List newList new
List new
 
Program evaluation part 2
Program evaluation part 2Program evaluation part 2
Program evaluation part 2
 
Program Evaluation 1
Program Evaluation 1Program Evaluation 1
Program Evaluation 1
 
Mobilizing the community for Ebola
Mobilizing the community  for EbolaMobilizing the community  for Ebola
Mobilizing the community for Ebola
 
Natural History of Disease & Levels of prevention
Natural History of Disease & Levels of preventionNatural History of Disease & Levels of prevention
Natural History of Disease & Levels of prevention
 
Prevalence of depression and its correlates among elderly population in a ru...
Prevalence of depression and its  correlates among elderly population in a ru...Prevalence of depression and its  correlates among elderly population in a ru...
Prevalence of depression and its correlates among elderly population in a ru...
 
Electronic Health Record (EHR)
Electronic Health Record (EHR)Electronic Health Record (EHR)
Electronic Health Record (EHR)
 
Health financing strategy to reach UHC
 Health financing strategy to reach UHC Health financing strategy to reach UHC
Health financing strategy to reach UHC
 
Epidemiology of Still birth
Epidemiology of Still birthEpidemiology of Still birth
Epidemiology of Still birth
 
Epidemiology of Childhood Malnutrition in India and strategies of control
Epidemiology of  Childhood Malnutrition in India and strategies of controlEpidemiology of  Childhood Malnutrition in India and strategies of control
Epidemiology of Childhood Malnutrition in India and strategies of control
 
Universal Health Coverage
Universal Health Coverage Universal Health Coverage
Universal Health Coverage
 
Parent/ Caretakers role in development of a child
Parent/ Caretakers role in development of a childParent/ Caretakers role in development of a child
Parent/ Caretakers role in development of a child
 

KĂŒrzlich hochgeladen

From Luxury Escort Service Kamathipura : 9352852248 Make on-demand Arrangemen...
From Luxury Escort Service Kamathipura : 9352852248 Make on-demand Arrangemen...From Luxury Escort Service Kamathipura : 9352852248 Make on-demand Arrangemen...
From Luxury Escort Service Kamathipura : 9352852248 Make on-demand Arrangemen...
From Luxury Escort : 9352852248 Make on-demand Arrangements Near yOU
 
( Jasmin ) Top VIP Escorts Service Dindigul 💧 7737669865 💧 by Dindigul Call G...
( Jasmin ) Top VIP Escorts Service Dindigul 💧 7737669865 💧 by Dindigul Call G...( Jasmin ) Top VIP Escorts Service Dindigul 💧 7737669865 💧 by Dindigul Call G...
( Jasmin ) Top VIP Escorts Service Dindigul 💧 7737669865 💧 by Dindigul Call G...
dipikadinghjn ( Why You Choose Us? ) Escorts
 
VIP Independent Call Girls in Andheri đŸŒč 9920725232 ( Call Me ) Mumbai Escorts...
VIP Independent Call Girls in Andheri đŸŒč 9920725232 ( Call Me ) Mumbai Escorts...VIP Independent Call Girls in Andheri đŸŒč 9920725232 ( Call Me ) Mumbai Escorts...
VIP Independent Call Girls in Andheri đŸŒč 9920725232 ( Call Me ) Mumbai Escorts...
dipikadinghjn ( Why You Choose Us? ) Escorts
 
VIP Call Girl in Mumbai 💧 9920725232 ( Call Me ) Get A New Crush Everyday Wit...
VIP Call Girl in Mumbai 💧 9920725232 ( Call Me ) Get A New Crush Everyday Wit...VIP Call Girl in Mumbai 💧 9920725232 ( Call Me ) Get A New Crush Everyday Wit...
VIP Call Girl in Mumbai 💧 9920725232 ( Call Me ) Get A New Crush Everyday Wit...
dipikadinghjn ( Why You Choose Us? ) Escorts
 

KĂŒrzlich hochgeladen (20)

From Luxury Escort Service Kamathipura : 9352852248 Make on-demand Arrangemen...
From Luxury Escort Service Kamathipura : 9352852248 Make on-demand Arrangemen...From Luxury Escort Service Kamathipura : 9352852248 Make on-demand Arrangemen...
From Luxury Escort Service Kamathipura : 9352852248 Make on-demand Arrangemen...
 
Mira Road Memorable Call Grls Number-9833754194-Bhayandar Speciallty Call Gir...
Mira Road Memorable Call Grls Number-9833754194-Bhayandar Speciallty Call Gir...Mira Road Memorable Call Grls Number-9833754194-Bhayandar Speciallty Call Gir...
Mira Road Memorable Call Grls Number-9833754194-Bhayandar Speciallty Call Gir...
 
03_Emmanuel Ndiaye_Degroof Petercam.pptx
03_Emmanuel Ndiaye_Degroof Petercam.pptx03_Emmanuel Ndiaye_Degroof Petercam.pptx
03_Emmanuel Ndiaye_Degroof Petercam.pptx
 
Booking open Available Pune Call Girls Shivane 6297143586 Call Hot Indian Gi...
Booking open Available Pune Call Girls Shivane  6297143586 Call Hot Indian Gi...Booking open Available Pune Call Girls Shivane  6297143586 Call Hot Indian Gi...
Booking open Available Pune Call Girls Shivane 6297143586 Call Hot Indian Gi...
 
Kharghar Blowjob Housewife Call Girls NUmber-9833754194-CBD Belapur Internati...
Kharghar Blowjob Housewife Call Girls NUmber-9833754194-CBD Belapur Internati...Kharghar Blowjob Housewife Call Girls NUmber-9833754194-CBD Belapur Internati...
Kharghar Blowjob Housewife Call Girls NUmber-9833754194-CBD Belapur Internati...
 
( Jasmin ) Top VIP Escorts Service Dindigul 💧 7737669865 💧 by Dindigul Call G...
( Jasmin ) Top VIP Escorts Service Dindigul 💧 7737669865 💧 by Dindigul Call G...( Jasmin ) Top VIP Escorts Service Dindigul 💧 7737669865 💧 by Dindigul Call G...
( Jasmin ) Top VIP Escorts Service Dindigul 💧 7737669865 💧 by Dindigul Call G...
 
05_Annelore Lenoir_Docbyte_MeetupDora&Cybersecurity.pptx
05_Annelore Lenoir_Docbyte_MeetupDora&Cybersecurity.pptx05_Annelore Lenoir_Docbyte_MeetupDora&Cybersecurity.pptx
05_Annelore Lenoir_Docbyte_MeetupDora&Cybersecurity.pptx
 
(INDIRA) Call Girl Mumbai Call Now 8250077686 Mumbai Escorts 24x7
(INDIRA) Call Girl Mumbai Call Now 8250077686 Mumbai Escorts 24x7(INDIRA) Call Girl Mumbai Call Now 8250077686 Mumbai Escorts 24x7
(INDIRA) Call Girl Mumbai Call Now 8250077686 Mumbai Escorts 24x7
 
VIP Independent Call Girls in Andheri đŸŒč 9920725232 ( Call Me ) Mumbai Escorts...
VIP Independent Call Girls in Andheri đŸŒč 9920725232 ( Call Me ) Mumbai Escorts...VIP Independent Call Girls in Andheri đŸŒč 9920725232 ( Call Me ) Mumbai Escorts...
VIP Independent Call Girls in Andheri đŸŒč 9920725232 ( Call Me ) Mumbai Escorts...
 
The Economic History of the U.S. Lecture 18.pdf
The Economic History of the U.S. Lecture 18.pdfThe Economic History of the U.S. Lecture 18.pdf
The Economic History of the U.S. Lecture 18.pdf
 
The Economic History of the U.S. Lecture 23.pdf
The Economic History of the U.S. Lecture 23.pdfThe Economic History of the U.S. Lecture 23.pdf
The Economic History of the U.S. Lecture 23.pdf
 
VIP Call Girl in Mumbai 💧 9920725232 ( Call Me ) Get A New Crush Everyday Wit...
VIP Call Girl in Mumbai 💧 9920725232 ( Call Me ) Get A New Crush Everyday Wit...VIP Call Girl in Mumbai 💧 9920725232 ( Call Me ) Get A New Crush Everyday Wit...
VIP Call Girl in Mumbai 💧 9920725232 ( Call Me ) Get A New Crush Everyday Wit...
 
The Economic History of the U.S. Lecture 25.pdf
The Economic History of the U.S. Lecture 25.pdfThe Economic History of the U.S. Lecture 25.pdf
The Economic History of the U.S. Lecture 25.pdf
 
Call Girls Koregaon Park Call Me 7737669865 Budget Friendly No Advance Booking
Call Girls Koregaon Park Call Me 7737669865 Budget Friendly No Advance BookingCall Girls Koregaon Park Call Me 7737669865 Budget Friendly No Advance Booking
Call Girls Koregaon Park Call Me 7737669865 Budget Friendly No Advance Booking
 
The Economic History of the U.S. Lecture 20.pdf
The Economic History of the U.S. Lecture 20.pdfThe Economic History of the U.S. Lecture 20.pdf
The Economic History of the U.S. Lecture 20.pdf
 
Solution Manual for Principles of Corporate Finance 14th Edition by Richard B...
Solution Manual for Principles of Corporate Finance 14th Edition by Richard B...Solution Manual for Principles of Corporate Finance 14th Edition by Richard B...
Solution Manual for Principles of Corporate Finance 14th Edition by Richard B...
 
Booking open Available Pune Call Girls Talegaon Dabhade 6297143586 Call Hot ...
Booking open Available Pune Call Girls Talegaon Dabhade  6297143586 Call Hot ...Booking open Available Pune Call Girls Talegaon Dabhade  6297143586 Call Hot ...
Booking open Available Pune Call Girls Talegaon Dabhade 6297143586 Call Hot ...
 
Vip Call US 📞 7738631006 ✅Call Girls In Sakinaka ( Mumbai )
Vip Call US 📞 7738631006 ✅Call Girls In Sakinaka ( Mumbai )Vip Call US 📞 7738631006 ✅Call Girls In Sakinaka ( Mumbai )
Vip Call US 📞 7738631006 ✅Call Girls In Sakinaka ( Mumbai )
 
06_Joeri Van Speybroek_Dell_MeetupDora&Cybersecurity.pdf
06_Joeri Van Speybroek_Dell_MeetupDora&Cybersecurity.pdf06_Joeri Van Speybroek_Dell_MeetupDora&Cybersecurity.pdf
06_Joeri Van Speybroek_Dell_MeetupDora&Cybersecurity.pdf
 
The Economic History of the U.S. Lecture 19.pdf
The Economic History of the U.S. Lecture 19.pdfThe Economic History of the U.S. Lecture 19.pdf
The Economic History of the U.S. Lecture 19.pdf
 

Burden of Disease Analysis

  • 1. BURDEN OF DISEASE ANALYSIS By: Sourav Goswami Moderator: Dr Subodh S Gupta MGIMS, Sevagram
  • 2. WHY Burden of Disease (BOD)???? For 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 – the causes and rates of death. Although 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. Summary 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
  • 4. BURDEN Disease  Malaria  TB  AIDS  Cancer
  • 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 Burden of disease (BoD) is the burden that a particular disease process has in a particular area as measured by cost, morbidity, and mortality.  It is quantified by so called summary measures of population health (SMPH).
  • 7. EFFECTS OF BOD Body Mind/Emotions Relationships Work etc Community Development Social services Heath care systems Economy Productivity Education Personal Societal
  • 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 1940s: Concept of “Years of Life Lost”. 1971: Sullivan’s Index 1983: Quality Adjusted Life Expectancy (QALE). 1990: GBD study – DALYs. 1998: HeaLY DALE, 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) – 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) HALY are the population health summary measures typically used in estimates of the burden of disease. They measure the combined effects of mortality and morbidity in populations, allowing for comparisons across illnesses or interventions as well as between populations . Two common approaches to measuring HALYs are  Disability-Adjusted Life Years (DALYs) and Quality-Adjusted Life Years (QALYs).
  • 13. Some basic facts regarding DALY & QALY Both DALYs and QALYs are based on the latest available epidemiological data.  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: 1. The health state or disease conditions associated with a pathogen or disease analysed are defined and described (morbidity); 2. Each health state described in step 1 is given a weighted value, often called a Health-Related Quality of Life (HRQL) value; and 3. The value of each health state is combined with estimates of life expectancy (mortality) .
  • 15. Disability-Adjusted Life Years (DALYs) One DALY can be thought of as one lost year of "healthy" life. The 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)
  • 17. DALY MORTALITY Life expectancy − Age at Death = LY (Life years Lost due to Disease)
  • 18. DALY DISABILITY WEIGHT Range: 0 (Fully Healthy) to 1 (100% Disabled) MORBIDITY DA (Disability Adjustment) = Disability wt X Duration Of illness
  • 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 Death− 65 50 = 15 DALY− So, DALY = 4.5 + 15 = 19.5
  • 21. DALY YLL = 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 YLD = 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 × L
  • 23. Disability Weight  The term “disability” used broadly in BoD analyses refers 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, “health” is understood to mean “absence of illness”, 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.  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?  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 Stroke Down syndrome Alzheimer’s disease
  • 25. Disability Weight Theses are used both in calculating DALY and QALY. DW are used to represent the HRQL in DALYs based on non- fatal heath outcomes as described in the ICD Once 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) This 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: Discounting Age-weighting
  • 29. Age- Weighting This approach favors young adults who are “productive” in their communities and contributing to the economy, leaving out the very young and older adults, who are more dependent. In the GBD study, a year of healthy life lived at younger and older ages was weighted lower than for other ages. In 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 Studies have shown that people have preferences regarding the moment at which death or disability occur. People generally prefer a healthy year of life immediately, rather than in the future, if given the choice. The DALY measures the future stream of healthy years of life lost due to each incident case of disease or injury. Discounting 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. To estimate the net present value of years of life lost, the GBD study applied a 3% time discount rate to YLL in the future. With 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 If 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). These formulas have also been programmed into calculation spreadsheet templates for DALYs that are available at the WHO website
  • 32. Calculation of DALYs with discounting and age weighting
  • 33. Calculation of DALYs with discounting and age weighting
  • 34. Quality-Adjusted Life Years (QALYs) QALY is a generic measure of disease burden, including both the quality and the quantity of life lived. It can measure both the effectiveness and Cost- effectiveness of an intervention. For 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). The 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 So, it can be used to determine where resources should be allocated.
  • 35. Quality-Adjusted Life Years (QALYs) QALY = Additional no of years of life X HRQL # HRQL = Heath Related Quality of life
  • 36. Understanding QALY Length of life (years) Quality Of life 0 1 Dead Perfect Health To calculate QALY, we multiply “ Length of life” X “ Quality of Life”
  • 37. Understanding QALY Length of life (years) Quality Of life 0 1 Dead Perfect Health 0.5 10 10 X 0.5 = 5 QALY
  • 38. Understanding QALY Length of life (years) Quality Of life 0 1 Dead Perfect Health 6 1 X 6 = 6 QALY
  • 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 − 1.5 ) Old T/T New T/t
  • 40. DALY It is an absolute measure used to compare disease burden in populations. The goal is to minimize the “bad” of gaps in health. DALYs use disability weights (0=perfect health and 1=death) QALY It is used to analyse clinical interventions. The goal is to maximize the “good” of quality of life. QALYs use utility weights (0 = death and = perfect health)
  • 41. Critics of DALY & QALY Discriminates against young and the old(DALY) No Male-Female difference in length of life(DALY) Discounting future health outcomes(DALY) Doesn’t help determine the right intervention (DALY + QALY) Does not assess qualitative difference in outcomes (DALY + QALY)
  • 42. DALE Disability Adjusted Life Expectancy DALE integrates data on Mortality Long – term institutionalization Activity limitations Measures Quality and Quantity of life A set of weights is assigned to four states of health no activity limitations activity limitations in leisure activities or transportation activity limitations at work, home and/or school institutionalization in a health care facility
  • 43. HALE Health Adjusted Life Expectancy Health-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. Health-adjusted life expectancy uses the Health Utility Index (HUI) to weigh years lived in good health higher than years lived in poor health. Measure of quantity and quality of life
  • 44. India State-level Disease Burden Initiative The 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. This 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. The state-level disease burden estimates in India are part of the Global Burden of Disease (GBD) study.
  • 45. To Sum Up The GBD study is the most comprehensive and consistent set of estimates of morbidity and mortality by age, sex and region.  DALY quantify burden while QALY quantify health. For QALY, bigger is better; but for DALY, smaller is better. Heath programs try to AVERT DALY Apart from their opposite signs, DALYs and QALYs are almost equivalent. Now, 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) https://vizhub.healthdata.org/gbd-compare/ http://www.healthdata.org
  • 47.
  • 48.
  • 49.
  • 50. How long do people live in India?
  • 51. What causes most deaths in India?
  • 52. What heath problems cause most disability in India? Thank you
  • 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.ć 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

  1. 1940s: Concept of “Years of Life Lost”. 1971: Sullivan’s Index 1983: Quality Adjusted Life Expectancy (QALE).
  2. 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
  3. 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.
  4. The GBD 2010 study used a YLD calculation based on prevalence rather than incidence of disability. These includes: the term “disability” 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, “health” is understood to mean “absence of illness”, 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.
  5. The GBD 2010 study used a YLD calculation based on prevalence rather than incidence of disability. These includes: the term “disability” 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, “health” is understood to mean “absence of illness”, 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.
  6. The GBD 2010 study used a YLD calculation based on prevalence rather than incidence of disability. These includes: the term “disability” 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, “health” is understood to mean “absence of illness”, 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.
  7. 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