week 2 - measures of frequency Flashcards
LEARN ABOUT EPIDEMIOLOGY (30 cards)
Define Epidemiology
Epidemiology is the science of measuring disease or other aspects of health, identfying the causes of ill health and intervening to improve health
how are ‘attack rates’ calculated
amount of people who became ill divided by the amount of people exposed
what does relative risk describe and how is it calculated
Relative risk describes how many times more likely a person is to become ill if they are exposed to something, compared to if they are not exposed. It is calculated by the percentage of people who became ill after exposure divided by the percentage not ill after exposure.
Name some different subdisciplines of epidemiology.
Public Health or infectious disease epidemiology. Nutritional epidemiology. Social epidemiology. Environmental epidemiology. Eco-epidemiology. Cancer epidemiology. Injury epidemiology. Perinatal epidemiology. Occupational epidemiology. Molecular epidemiology. Clinical epidemiology. Life course epidemiology.
Epidemiology aims to answer…
What, who, where, when and why
Define prevalence and discuss how it is calculated
Prevalence describes the percentage of people in an area/ country living with a disease/ illness.
It is calculated by (number of people living with the illness/ disease divided by the total number of people in the population ) x 100
Define incidence
Incidence describes the number of new cases of a disease/illness in an area/ country.
Define incidence proportion (or cumulative incidence)
Describes the proportion people who were at risk of developing a disease or illness compared to the proportion of people who did develop it in a specific time period. This is sometimes referred to as attack rate.
What is the difference between incidence proportion (IP) or cumulative incidence and incidence rate (IR) or incidence density
IP is the proportion of people who develop disease/ illness in a specific period. IP = the number of people who develop disease in a period divided by the number of people at risk of getting the disease at the start of the period. it is a proportion/ percentage and not a rate.
IR or incidence density also describes how quickly people are developing disease/ illness. however is more accurate if person/time is avaialble. IR = number of people who develop disease in a specific period divided by the totally person-time when people were at risk of getting the disease.
What is incidence proportion usually referred to as in clinical trials?
Experimental event rate (EER) or control event rate (CER)
What is incidence rate sometimes called?
Incidence density
When is a person considered ‘at risk’ of developing a disease/ illness?
An individual is considered ‘at risk’ until the actual moment they do develop the disease, until death or until they are lost to follow up.
What are crude rates referring to and what are the disadvantages of looking at crude rates.
Crude rates refer to the basic rates that describe the overall incidence of disease in a population without taking in to account any other characteristics or features of that population. For example the incidence of cancer or heart disease in Australia. Crude rates make overall comparisons between two different populations (for example heart disease in Australia vs heart disease in Ethiopia) unreliable because they have not considered the different characteristics (e.g. age) that would impact the rates. For example a country in the western world where people live longer will have higher crude rates of heart disease compared to a developing country where people don’t live as long. This can lead to poor assumptions of health in those countries.
What is standardisation?
Standardisation calculates the overall incidence or mortality rate that you would expect to find in a standard population if it had the same age specific rates as your study population.
How is direct standardisation calculated using this example…
a) Age group – 85+
b) Number of deaths in Germany – 16213
c) Number of people in population – 376000
d) Mortality rate (per 100,000) – 4311.97
e) World standard population – 500
f) Cases expected in standard population – 21.56
multiply the age specific rate (d) by the number of people in the same age group in the standard population (e) to calculate the number of events you would expect to see if it had the same rates as your study population (f). do this for each age specific age group and then divide the total number of events expected in all age groups of the standard population (f) by the total number of people in the standard population (e) to get the standardised rate.
What do you need to be cautious about when using standardisation?
There are many different ‘standard’ populations and in practice you can age-standardise to any population. If you standardise to two very different populations you will get two very different standardised rates and the relationship between different populations may change.
Define rates, ratios and proportions
Rates include some measure of time for example 60km/hr or 17/100000 per year. Unlike a proportion it has no upper limit.
A ratio is simply one number divided by another number. Eg number of beers drunk in 1 year divided by the number of people in the population.
A proportion is a special type of ratio in which everything or everyone in the numberator is also counted in the denominator. Eg the number of people who develop disease divided by the total number of people in population (those with and without disease). It can never be less than 0 or greater than 1. It can be presented as a percentage between 0-100%. All proportions are ratios but not all ratios are proportions.
What is indirect standardisation?
Indirect standardisation calculates the number of cases you would expect to see in a study population if it had the same age specific rates as the standard population. This rate is then compared to the actual or ‘observed’ number of cases to calculate a standardised incidence (or mortality). Can be used for age, sex, sex race and any other factors.
How is indirect standardisation calculated in the below example…
a) Age group – 80+
b) Male population brazil (x1000)- 80706
c) Mortality rate for males germany (per 100000) – 211.47
d) Expected deaths in Brazil – 70978.43
e) Observed number of deaths in Brazil – 39437
Multiply each age specific rate in the standard population (column c) by the number of people in the study (column b) to calculate the total number of events you would expect to see in the study populationif it had the same rates as the standard population (column d). divide the total number of events actually observed (e) by the number of events expected (d) to get the standardised mortalise ratio (SMR) or standardised incident ration (SIR).
Answer above = 0.56 which suggests the mortality rate in brazil is almost half that of Germany.
What does PMR stand for and what does it measure?
Proportional (or proportionate) mortality rate. This measures the relative importance of a particular cause of death in a given population. It is used when there is insufficient information to calculate an SMR (standardised mortality rate). Most commonly used in occupational studies. It is calculated by dividing the proportion of deaths due to a specific cause in a group of interest by the proportion of deaths due to the same cause in a comparison group.
What is the case – fatality ratio (CFR or case fatality rate) and how is it calculated?
Described the proportion of people with a given disease or condition who die from it in a given time. Common measure of short-term severity of an acute disease and allows direct assessment of effectiveness of an intervention. Eg CFR for myocardial infarction is usually measured over a period of 28 days. Eg if 100 people were diagnosed with MI and 9 people died than the CFR for MI would be 9 divided by 100 x 100 = 9% CFR.
When is case – fatality ratio an appropriate measure and when is it not.
CFR is appropriate for short term mortality (a month or so) but is less useful in conditions in which death may occur further down the track.
How is survival rate/ relative survival rate calculated?
Survival rate is calculated by the proportion of patients who are still alive a specified number of years after diagnosis. This is often adjusted to allow for the fact that, depending on the age group being considered, some people would have been expected to die anyway from causes other than their cancer – this is knowns as relative survival rate.
What are the millennium development goals?
1- Eradicate extreme poverty and hunger
2- Achieve universal primary education
3- Promote gender equality and empower women
4- Reduce child mortality
5- Improve maternal health
6- Combat HIV/ AIDS, malaria and other diseases
7- Ensure environmental sustainability
8- Develop a global partnership for development