epidemiology and its contribution to medical research (selected slides) jan e. zejda department of...
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EPIDEMIOLOGY EPIDEMIOLOGY AND ITS AND ITS
CONTRIBUTION CONTRIBUTION TO MEDICAL RESEARCHTO MEDICAL RESEARCH
(selected slides)(selected slides)
Jan E. Zejda
Department of Epidemiology, Medical University of Silesia
TOPICSTOPICS
Roots of modern epidemiology
Epidemiology among health sciences
Definition of epidemiology
Epidemiological paradigms
Application of epidemiology in medical research
Clinical epidemiology
TOPICSTOPICS
Roots of modern epidemiology
Epidemiology among health sciences
Definition of epidemiology
Epidemiological paradigms
Application of epidemiology in medical research
Clinical epidemiology
CHOLERA IN EUROPE
1829 in Orenburg (Russia)
1830 in Moscow (Russia)
1831 ↓
Poland, Hungary, Austria, Prussia
1832↓
England, France, Scandinavia, Spain …
CHOLERA IN EUROPE
Second Wave of Epidemia
1848 in England: 53000 †††
Dr WILLIAM FARR
1807 – 1883
Physician
Founder of Medical Statistics(measurement of health events:
birth, mortality, etc.)
CHOLERA CARRIED BY AIR POLLUTED BY CHOLERA CARRIED BY AIR POLLUTED BY MIASMAMIASMA
(miasma = rotting organic matter)(miasma = rotting organic matter)
Farr’s hypothesis („miasma theory”)Deaths due to cholera versus elevation of the residence place in London
0
20
40
60
80
100
120
140
<20 20-40 40-60 60-80 80-100 100-120 340-360
Stopy nad poziomem morza
Zgon
y/10
000
Źródło: Gordis L.: Epidemiology. W.B. Sounders Company, Philadelphia 1996)
Feet above sea level
Deaths
MIASMA THEORYMIASMA THEORY(miasma in Greek = pollution)(miasma in Greek = pollution)
340-360 100-120 80-100 60-80 40-60 20-40 <20
Stopy nad poziomem morza
...
Thickness of miasma layer
Feet above sea level
DR JOHN SNOW
1813 – 1858
One of the first physicians to test the use of ether and chloroform
as anaesthetics.
Designer of devices to safely administer ether and chloroform.
C2H5OC2H5
CHCl3
↓KidneyLiverHeart
JOHN SNOW (1813-1858)JOHN SNOW (1813-1858)on causes of cholera epidemics in on causes of cholera epidemics in
LLondonondon
Snow’s statistical argument regarding water-borne disease
Mortality distribution according to the place of residence / source of drinking water
Water Supply Company Number ofhouses
Number ofdeaths
Deaths rate (n/10000 houses)
Southwark&Vauxhall 40 046 1263 315
Lambeth 26 107 98 37
Source: Fox J.P. et al.: Epidemiology. Man and Disease. The Macmillan Company, London 1970)
JOHN SNOW (1813-1858)JOHN SNOW (1813-1858)on causes of cholera epidemics in on causes of cholera epidemics in
LLondonondon
JOHN SNOW (1813-1858)JOHN SNOW (1813-1858)on causes of cholera epidemics in on causes of cholera epidemics in
LLondonondon
SNOW’S DISTINCT METHODSSNOW’S DISTINCT METHODS
• Symptoms of acute intestinal infection (medical background)
• Location (plotting the cases)• Measurement of mortality rates (comparisons)
observation → hypothesis → measurement
knowledge → action
IMPORTANT MESSAGEIMPORTANT MESSAGE
Cholera put under control long before
the causative agent was discoveredresponse
• 1848 - Establishment of General Health Department (London)
• 1851 - International Health Conference (Paris)
• 1875 - Public Health Act (Great Britain): water supply, sewage transportation, etc.
• 1907 - Establishment of International Health Organization (Paris)
ROBERT KOCH (1843 – 1910)ROBERT KOCH (1843 – 1910)[Vibrio cholerae – 1884][Vibrio cholerae – 1884]
Koch – 1884 !
FILIPPO PACINI (1812 – 1883)FILIPPO PACINI (1812 – 1883)[Vibrio Cholerae – 1854][Vibrio Cholerae – 1854]
EPIDEMIOLOGY TODAYEPIDEMIOLOGY TODAY(from infectious to non-infectious diseases)(from infectious to non-infectious diseases)
Ch. Niezakaźne
Ch. Zakaźne
√ ADVANCES IN MEDICINE
√ DEMOGRAPHY
√ QUALITY OF LIFE …
↑ YESTERDAY TODAY ↑
Non-infectious diseases
Infectious diseases
TOPICSTOPICS
Roots of modern epidemiology
Epidemiology among health sciences
Definition of epidemiology
Epidemiological paradigms
Application of epidemiology in medical research
Clinical epidemiology
HEALTH SCIENCESHEALTH SCIENCES
RESEARCH FIELD PRIMARY FOCUS
Health
Services
Epidemiology
Clinical Sciences
Biologic Sciences
Health care systems
Populations
Individual patients
Animal models, cells & transmitters, molecules, genes, drugs development
Source: Fletcher R.W., Fletcher S.W.: Clinical Epidemiology. The essentials .Lippincott Williams & Wilkins 2005
HEALTH SCIENCESHEALTH SCIENCES
RESEARCH FIELD PRIMARY FOCUS
Health
Services
Epidemiology
Clinical Sciences
Biologic Sciences
Health care systems
Populations
Individual patients
Human & animal models, cells & transmitters, molecules, genes, drugs development
Source: Fletcher R.W., Fletcher S.W.: Clinical Epidemiology. The essentials .Lippincott Williams & Wilkins 2005
TOPICSTOPICS
Roots of modern epidemiology
Epidemiology among health sciences
Definition of epidemiology
Epidemiological paradigms
Application of epidemiology in medical research
Clinical epidemiology
The study of the distribution and determinants of health related states or events in specified populations, and the application of this study
to control of health problems
(Last, 2001)
!
DEFINITION OF DEFINITION OF EPIDEMIOLOGYEPIDEMIOLOGY
EPIDEMIOLOGYEPIDEMIOLOGYThe study of the distribution and determinants of health related states or events in specified populations, and the application of this study to control of health problems
STUDYsurveillance, observation, hypothesis
testing, analytic research,
and experiments.
EPIDEMIOLOGYEPIDEMIOLOGYThe study of the distribution and determinants of health related states or events in specified populations, and the application of this study to control of health problems
DISTRIBUTIONanalysis by person, place and time
„who” – „where” – „when”?
EPIDEMIOLOGYEPIDEMIOLOGYThe study of the distribution and determinants of health related states or events in specified populations, and the application of this study to control of health problems
DETERMINANTS (function)risk factors, protective factors,
modyfying factors …
HOST FACTORS
SOCIO-ECONOMIC
FACTORS
ENVIRON-MENTALFACTORS
LIFE STYLEFACTORS
OTHERFACTORS
- Genes- Gender
- Age
- Poverty- Employment
- Isolation
- Air quality - Water quality
- Occupational environment
- Home environment
- Social environment
- Nutrition- Physical activity- Tobacco- Alcohol- Drugs
- Sexual activity
-Education-- Health care
system- Transport.- Recreation
DETERMINANTS (source)DETERMINANTS (source)
EPIDEMIOLOGYEPIDEMIOLOGYThe study of the distribution and determinants of health related states or events in specified populations, and the application of this study to control of health problems
HEALTH RELATED STATES OR EVENTS
diseases, causes of death, behavior,reactions to preventive regimens,
provision and use of health services …
HEALTH-RELATED PHENOMENA
EPIDEMIOLOGYEPIDEMIOLOGYThe study of the distribution and determinants of health related states or events in specified populations, and the application of this study to control of health problems
APPLICATION TO CONTROLto assess the public health importance of
diseases, identify the population at risk, identify the causes of disease, describe the natural history of disease, and evaluate the
prevention and control of disease
EPIDEMIOLOGYEPIDEMIOLOGYThe study of the distribution and determinants of health related states or events in specified populations, and the application of this study to control of health problems
APPLICATION TO CONTROLhealth promotion
preventive measuresdiagnostic standards
therapeutic standards
EPIDEMIOLOGY versus CLINICAL EPIDEMIOLOGY versus CLINICAL MEDICINEMEDICINE
PRINCIPAL TASKSPRINCIPAL TASKS
CLINICAL MEDICINE EPIDEMIOLOGY
Diagnosis Epidemiological study
Treatment Prevention, health promotion
Prognosis Risk assessment
EPIDEMIOLOGYEPIDEMIOLOGY
FROM KNOWLEDGEDescriptive epidemiology (what, who, where ..?)Analytical epidemiology (why ?)
TO APPLICATIONPreventionNew diagnostic / therapeutic proceduresRefined provision of health services…
TOPICSTOPICS
Roots of modern epidemiology
Epidemiology among health sciences
Definition of epidemiology
Epidemiological paradigms
Application of epidemiology in medical research
Clinical epidemiology
EPIDEMIOLOGIC PARADIGMSEPIDEMIOLOGIC PARADIGMS
Non-random occurrence of diseases
Between-subject variability in health and exposures* leading to co-variability•- a very broad concept (smoking=exposure; gene variant=exposure; etc..)
& Reliability of the results
DISEASES DO NOT OCCUR BY DISEASES DO NOT OCCUR BY RANDOMRANDOM
WHY ME ?NON-RANDOM OCCURRENCE IMPLIES CAUSATION
EXPOSURE TO WHAT ? (HARMFUL AGENTS ? POOR GENES ? … ?)
?
?
?
?
(1) Between-subject variability in health status
(2) Between-subject variability in potential risk factors
(1) follows (2) = covariability
Q: IS KNOWN HEALTH DISORDER Q: IS KNOWN HEALTH DISORDER
RELATED TO KNOWN RELATED TO KNOWN EXPOSURE ?EXPOSURE ?
A: COVARIABILITY – Y/NA: COVARIABILITY – Y/N
Reliable Measurement of Health and Exposure
Evidence of Covariability
SIR DAVID ROXBEE COX SIR DAVID ROXBEE COX
FOUR CHALLENGES:
MEASUREMENT
STUDY DESIGN
DATA ANALYSIS
INTERPRETATION
David R. Cox: Some challenges for medical statistics (symposium „Modern Statistical Methods in Medical Research” - Nobel
Foundation Series „Frontiers in Medicine” < European Journal of Epidemiology 2005;30:5-9 >
LORD KELVIN (1824-1907)LORD KELVIN (1824-1907)
When you can
measure what you
are speaking about,
and express it in
numbers, you know something about it. But when
you cannot your
knowledge is of a
meager and unsatisfacto
ry kind (Lord
Kelvin)
MEASUREMENTMEASUREMENT
- Quantitative scale: blood glucose level …
- Qulitative scale: round opacity on chest x-ray …
SOURCES
Interview, standardized questionnaire, laboratory tests, composed indices … case definition …
MEASUREMENT - ERRORSMEASUREMENT - ERRORS
TYPE I: above, above, below, above, below, below, above, below, above, above
TYPE II: either above, above, above, above, above, above, above
or below, below, below, below, below, below, below
Repeat measurements and you are Repeat measurements and you
close to the true value (average) are always one way away from
the true value
RANDOM ERROR SYSTEMATIC ERROR (BIAS)
GOOD EPIDEMIOLOGY PRACTICEGOOD EPIDEMIOLOGY PRACTICE
EPIDEMIOLOGICAL STUDY – A MEASURING TOOL
Prevalence of diabetes
Role of sleep deprivation in high blood pressure
Protective significance of face mask in COPD
etc., etc.
MEASUREMENT IS SUBJECT TO ERROR
RANDOM ERRORRANDOM ERROR
Divergence – due to chance alone – of an observation (measurement) on a sample from the true population value (estimate ≠ parameter). Three sources:
• Biological variation;
• Sampling error;
• Measurement error.
Given biological variation and limited accuracy
of the measurement random error can be reduced
by increasing the size of the sample
( estimate obtained in a sample composed of all candidates = parameter)
SYSTEMATIC ERROR = SYSTEMATIC ERROR = BIASBIAS
Systematic divergence (either ‘in plus’ or ‘in minus’) of an observation (measurement) on a sample from the true population value (estimate ≠ parameter). Three principal classes of bias:
•Selection bias;•Information bias;•Confounding.
SELECTION BIASSELECTION BIAS
Distortion resulting from the manner in which subjects
are selected (from population to sample)• Berkson’s bias (hospital admission bias): affects studies done
in hospitalized populations – the relation found in hospital may not reflect the one in the population;
• Nonresponse bias: „refusers” are more likely to engage in unhealthy behaviors
• Healthy worker effect: seriously ill people are unable to join and remain in the workforce
• …
Way to avoid (minimize) = representative, probability sampling
INFORMATION BIASINFORMATION BIAS
Causes: measurement device defects, inappropriate questionnaires, inaccurate diagnostic procedures,
Result: placement of a subject in a wrong category (misclassification)
• Recall bias: sick individuals are more likely to recall hazardous exposures, events, etc. (mothers of leukemia children remember all, mothers of healthy children „do not care”)
• Diagnostic suspicion bias: increased diagnostic attention toward exposed (endometrial cancer versus hormone replacement therapy – estrogens)
• …
CONFOUNDINGCONFOUNDING
Distortion in an association between a study exposure and disease brought about by the influence of „a third factor”
Confounder:Is associated with the exposure in question;Is an independent risk factor for the disease
Confounder → →↨ Disease
Exposure → ?
Is not intermediate in the causal pathway: exposure - disease
RANDOM ERROR AND SYSTEMATIC RANDOM ERROR AND SYSTEMATIC ERRORERROR
True Value of the Studied Event = bull’s eyeResult of the Study = dot
Random Error (Imprecision)
Low High
LowSystemticError (Bias)
High
VALIDITYVALIDITY
• Internal validity (state-of-art measurements on sample)
• External validity (generalizability)
GOOD EPIDEMIOLOGY PRACTICE !GOOD EPIDEMIOLOGY PRACTICE !
GOOD EPIDEMIOLOGY PRACTICEGOOD EPIDEMIOLOGY PRACTICE
Identify potential sources of errors
Avoid errors
Control errors
Adjust for errors
TOPICSTOPICS
Roots of modern epidemiology
Epidemiology among health sciences
Definition of epidemiology
Epidemiological paradigms
Application of epidemiology in medical research
Clinical epidemiology
Core ContributionsCore Contributions
1,2,3,41,2,3,4
EPI CONTRIBUTION TO MEDICAL EPI CONTRIBUTION TO MEDICAL RESEARCHRESEARCH
I – INVESTIGATION INTO NATURAL HISTORY OF DISEASES
Good Health
Subclinical Changes
Clinical Disease
Deathor
Recovery
Incidence
According to sexAccording to ageAccording to …
Occurrenceof diseases
(health events)
Prevalence
According to sexAccording to ageAccording to …
EPI CONTRIBUTION TO MEDICAL EPI CONTRIBUTION TO MEDICAL RESEARCHRESEARCH
II – DESCRIPTION OF HEALTH STATUS OF POPULATION
Genetic factors
Genetic factors
Lifestyle factors
Good Health
Onset of
disease
Ill Health
Lifestyle factors
Environ-mental factors
Environ-mental factors
EPI CONTRIBUTION TO MEDICAL EPI CONTRIBUTION TO MEDICAL RESEARCHRESEARCH
III – EXPLORATION OF CAUSATION
Treatment
Good Health
← ← ← Ill Health
DiagnosticProcedures
Health promotionPreventive measuresPublic health services
Medical Care
EPI CONTRIBUTION TO MEDICAL EPI CONTRIBUTION TO MEDICAL RESEARCHRESEARCH
IV – EVALUATION OF INTERVENTION
TOPICSTOPICS
Roots of modern epidemiology
Epidemiology among health sciences
Definition of epidemiology
Epidemiological paradigms
Application of epidemiology in medical research
Clinical epidemiology
EPIDEMIOLOGY and CLINICAL EPIDEMIOLOGY and CLINICAL MEDICINEMEDICINE
CLINICAL MEDICINE EPIDEMIOLOGY
Patient Population/Group
Treatment Prevention, health promotion
Prognosis Risk assessment
HOWEVER
Patient A responds to the treatment T, patient B does not, and patient C …
(what is the true effect of the treatment T ?)
Low level of enzyme E has a prognostic value in patient A and not in patient B
(what is the true diagnostic value of enzyme E ?)
EPIDEMIOLOGY and CLINICAL EPIDEMIOLOGY and CLINICAL MEDICINEMEDICINE
CLINICAL MEDICINE EPIDEMIOLOGY
Treatment Prevention, health promotion
Prognosis Risk assessment
CLINICAL EPIDEMIOLOGY
CLINICAL EPIDEMIOLOGYCLINICAL EPIDEMIOLOGY
The science of making predictions about individual patients by counting clinical events in groups of similar patients and using strong scientific methods to ensure that the predictions are accurate.
The purpose of clinical epidemiology is to develop and apply methods of clinical observation that will lead to valid conclusions by avoiding being misled by systamatic error and the play of chanceSource: Fletcher R.W., Fletcher S.W.: Clinical Epidemiology. The
essentials .Lippincott Williams & Wilkins 2005
CLINICAL EPIDEMIOLOGYCLINICAL EPIDEMIOLOGY
„Clinical” because it seeks to answer questions and to guide clinical decisions making with the best available evidence
„Epidemiology” because many of the methods used to answer the questions have been developed by epidemiologists (patient as a member of the population of patients – disease specific)
Source: Fletcher R.W., Fletcher S.W.: Clinical Epidemiology. The essentials .Lippincott Williams & Wilkins 2005
CLINICAL EPIDEMIOLOGY ISSUESCLINICAL EPIDEMIOLOGY ISSUES
Abnormality
Diagnosis
Frequency
Risk
Prognosis
Treatment
Prevention
Cause Source: Fletcher R.W., Fletcher S.W.: Clinical Epidemiology. The
essentials .Lippincott Williams & Wilkins 2005
FROM CO-EXISTENCE TO SYNERGISMFROM CO-EXISTENCE TO SYNERGISM
EPIDEMIOLOGY vs CLINICAL MEDICINE
EPIDEMIOLOGY ↔ CLINICAL MEDICINE
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