Lec 1 & Tut 1 notes Flashcards
1
Q
- Define epi
- focus
A
Epi: the study of distribution, freq, and determinants of health and disease w/in pop, and the application of this K to improve pop health
- Focus on population
2
Q
- descriptive
- focus
- method
- sign of high risk population
- 3 key characteristics of descriptive epi
- disparities can help us see 2 things:
- analytic epi
- focus
- methods
- IOW
A
2 main areas of epi
- # 1: Descriptive epi
- Focus: distribution of heath-related states or events in specified pop
- method: Use available data to examine how rates (eg mortality) vary according to demographic v
- If the distribution of rates is not uniform according to person, time and place; this indicates a high-risk population
- Eg: COVID outbreak in community in a specific time frame, people of certain ages and SES are more affected
- Identify high risk populations
- Basic triad of descriptive epi: the 3 essential characteristics of disease we look in descriptive epi: Time place person
- Eg: COVID outbreak in community in a specific time frame, people of certain ages and SES are more affected
- Disparities can
- Generate causal H
- Identify gaps in the health system
- If there are gaps -> need more services
- # 2: analytic epi
- Focus on DETERMINANTS of health-related states or events in specified pop
- Methods: assessment of specific hypotheses on suspected RF w/ health outcomes
- IOW: understand why certain pop are higher risk
- Observational vs experimental studies
3
Q
5 objectives of epi
A
Objectives of epi
- # 1: study the natural course of disease (from onset to resolution)
- # 2: measure the extend of disease in a pop
- IOW: how common is the disease
- # 3: identify patterns and trends in disease occurrence
- IOW: is the disease more common or less; more common in certain gps
- # 4: determine the causes of disease
- # 5: eval the effectiveness of measures that prevent and treat disease
- Eg on application
- Repeat process
- Why do we do this (reiterative process)? Some interventions are working; when they do not work, we alter it so that it works again
4
Q
- descriptive/applied epi
- analytic/academic epi
- applied epi; academic
- practice setting
- investigative team
- goals
- timeline
- data quality
- RF investigate
- Scientific values
- outputs
- competence
A
What do epidemiologists do?
- They work in various facilities
- Descriptive or applied epi: the timeline is frequent and urgent; focus on public health
- Academic or analytic epi: done in academic institutions, look into more details
- X
- Arguable aspects:
- We don’t always do biomed, we may look at social determinants of health
- We work w/ diff disciplines and in teams
- Table 1: comparison of characteristics applied epi and academic epi
- Applied epi
- Practice setting: more governmental
- Investigative team: Maybe interdisciplinary
- Goals: Service (eg public health surveillance, responding to outbreaks, improving health)
- Timeline: urgent
- Data quality: variable, collected in real-life
- RF investigated: sociologic, determinants of health
- Scientific values: urgency, practical, responsive, health impact
- Outputs: recommendations, product removal, PH action
- Competences: communication skills, community engagement, analytic
- Taught: on the job
- Academic epi
- Practice setting: school of PH, academic
- Investigative team: PhD, Maybe interdisciplinary
- Goals: discovery (etiology, RF, causality, disease modelling)
- Timeline: not urgent
- Data quality: high, data collected in controlled circumstances
- RF investigated: varies
- Scientific values: analytic rigor; consistency w/ prior studies
- Outputs: contribute to literature
- Competencies: strong analytic skills
- Taught: academic institution
*
- Applied epi
5
Q
- 6 PH areas of focus
- PH health goal
- define health
- intervention vs prevention
A
Many different areas of focus
- Methods
- Env health
- PH policy
- Chronic disease
- MH
- Infectious diseases
Public health
- Goal: promote the health of the population through organized community efforts
- What do we mean by health?
- Physical, mental, social wellbeing
- Not just absence of disease
- Essential resources of living
- intervention vs prevention
- PH: focuses on interventions
- (eg Laws for seatbelts, helmets, bike lanes, smoking cessation)
- Clinical: focus on prevention
- PH: focuses on interventions
- What do we mean by health?
6
Q
- basic science; clinical; PH science
- study
- goal
- example
- 9 aspects of PH
- Define upstream
A
Basic, clinical, and PH sciences
- They work together for the same goals and different parts
- Basic Science
- Study: cells, tissues, animals in labs
- Goals: understand disease mech, and effects of toxic substances
- Eg: Toxicology, immunology
- Clinical
- Study: sick patients who come to healthcare facility
- Goals: improve diagnosis and treat disease
- Eg: internal med, pediatrics
- PH
- Study: population, communities
- Goals: prevention of disease, promote health
- Eg: epi, env science
- These branches of science are not that distinct
- Clinical epi
- Molecular and genetic epi
- Econ, sociology, psych
Public health: more than just the indiv
- Aspects include
- Indiv and pop health
- Patho-physiologic pathways
- Genetic/constitutional factors
- Indiv RF
- Social relationships (married men visit family MD more than single men)
- Living conditions
- Neighborhoods and communities (safer env -> more activity)
- Institutions
- Social and econ policies
- These aspects change, influence eo, and in turn our health
- Upstream: other factors that impact health beyond indiv ones
7
Q
- Epi lv of study
- Lv of intervention
- Paradigm
A
Present day epi
- Motivation: PH and scientific discovery
- Lv of study: molecular to human pop
- Lv of intervention: indiv to pop
- Paradigm: multidisciplinary
8
Q
- define population
- define sample
- census
- define healthcare encounter data
- registries
- x
- Define count
- proportion calculation
- Ratio
- How to check the ratio form?
- Marble analogy for incidence and prevalence
- x
- Relationship b/w prevalence and incidence formula
A
Topics throughout this course
Population
- A gp of ppl w/ a common characteristic
- Residence
- Gender
- Age
- Life event (birth)
- Other demographics
- Disease cohorts
- Sample = subset of pop
Data
- Census: (all ppl living in Canada, every 5 years; on age, sex, occupation)
- Vital stats: all births, deaths, marriages, etc reported to the gov (eg Bills of Mortality)
- Health care encounter data (eg hospitalizations)
- Health administrative data collected during routine care
- Esp good data source in CAN due to universal care
- ON ICES: global leader in using the data (and link to other pop data)
- NOTE: in US only collect data for 1 type of insurer
- Registries: incl ppl w/ specific conditions (eg cancer)
- Reportable diseases: those of PH importance needs to be reported by MD (eg Polio, Anthrax)
Measure of freq
- Count: absolute #
- Proportion:
- N: subset of denom
- Ppl with event/ Ppl with event + ppl without
- IOW: A/(A+B)
- Expressed in fraction, decimal, or %
- Ratio: value obtained by dividing one quantity over another
- Scenario: 100 ppl in class, 50 brown hair
- IOW: 50% brown hair
- Proportion: 50/100 or ½
- Ratio form: for every 1 person w/ brown hair there is 1 person w/o
- (1:1)
- NOTE: data is not related
- The 2 #s should add up to the numerator proportion (i.e. 1+1 = 2)
- X
- Analogy
- Marble = sick person
- Marble dropped: incidence
- Marbles in bucket: prevalence
Question
- 1980s: incidence of HIV declined and prevalence increased
- Possible explanations
- Tools to identify more cases
- Ppl live longer
- Incidence down, duration of disease increases
- Possible explanations
- Why?
- Prevalence = Incidence x Duration of disease
9
Q
- 3 types of incidence measure:
- Define cumulative incidence
- 2 other names
- Calculation
- x
- 2 other names for incidence rate
- calculation
- What does it address?
- x
- define prevalence
- Calculation
- rate or proportion?
A
Types of incidence measure
- # 1: Cumulative incidence (aka risk, incidence proportion)
- Risk indiv will experience an event or dev a disease during a period of time
- Cumulative incidence = new cases in given time period/# of ppl at risk x 100
- 24 infected/25 * 100
- # 2: Person-time (or year) incidence or incidence density or incidence rate
- Occurrence of new case of disease that dev in a candidate pop over a specified time period
- P-t incidence rate = (# of new cases/ person-time of observation in candidate population at risk) x 1000
- Addresses: Handles loss to follow up, diff times
- # 3: Prevalence: # of ppl in a population during a specific time frame that have disease of interest
- Prevalence = # of cases / # of persons in the population
- Eg 13/15 Iphone users
- NOTE prevalence is NOT a rate, it is proportion
- Prevalence = # of cases / # of persons in the population