Thinking about populations and studies: Diabetes Flashcards
What is Prevalence?
- the frequency of ‘cases’ of a disease in a given population at a designated time
- prevalence = the number of people with the diseases/ number of people who could be at risk
What is Incidence?
- the number of new cases of a condition in a given period of time expressed as a proportion of a population which is at risk
- could be a month or year, usually expressed as per 1000, 10,000, 1,000,000
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Incidence = no. new cases in a given time period/ total population at risk
- what is defined as a new case needs to be clear
What is the relationship between prevalence and incidence?
- prevalence depends on the incidence of disease and the time between onset and recovery (or death)
- Prevalence = incidence x disease duration
What can be gained from knowing the incidence of diabetes?
- Understanding diabetes and its risk factors (exposures) and outcomes
- Accurate knowledge of the disease, trends, geographical differences → health care providers, researchers and policymakers
- Implications for
- Individuals- health, happiness
- Society – current and future economy, labour workforce
- Informing prevention and public health interventions
- Public awareness programmes + Educational programmes
- Service planning and commissioning
- Screening and assessment
- Staffing, training, resources, specialisms
- Identifying and prescribing targeted and indicated interventions: What, when, how, who
- Evaluating the effectiveness of interventions
- Tracking changes in incidence before and after interventions
What risk factors would be considered when looking at the likelihood of developing a disease?
- Demographic
- Behavioural
- Health-related
- Environmental
- Genetic
How is the Incidence calculated?
What is a cohort study?
- a group of people who have something in common
- a group of individuals free from diseases or condition is selected usually at random
- usually, there is an exposure of interest and participants are selected into exposed and non-exposed group
- can be prospective or retrospective
- the main purpose is to identify the exposures (risk factors) that lead to a particular outcome
- in the end, they compare the disease incidence between the exposed and unexposed cohorts
What is a Confounder?
- impact on cohort studies
- a variable that influences both the exposure and disease which causes spurious association
- a cohort study has more protection from a confounder as it establishes temporal precedence, however, there can still be this occurrence
What are the strengths of a cohort study?
- more than one disease can be related to a single exposure
- can offer some evidence of a cause-effect relationship
- good when the exposure is rare
- minimises selection and information bias
- can calculate incidence rate and risk
What are the weaknesses of a cohort study?
- Potential for losses to follow-up
- attrition may differ in exposed vs unexposed
- the longer the follow-up the greater the risk of attrition
- large samples usually required
- less suitable for rare diseases
- takes a long time to complete
- Expensive
- if a retrospective cohort study, the data availability and quality may be poor
What sources can be used to gather cohort study data?
- Primary
- survey data
- Secondary
- hospital/medical records
- mortality register
- census data
What are the pros and cons of using secondary data for a cohort study?
Pros
- cheaper, less time
- if anonymous, there is minimal ethical/ governance approval needed
Cons
- quality and availability may be limited
- poor accuracy and missing data
What are the pros and cons of using primary data for a cohort study?
Pros
- accurate and specific data collected
- gather additional data
Cons
- lots of ethical and governance approval
- expensive + time consuming
- difficult to achieve representative sample
What is the Relative Risk (or risk ratio)
- the risk of developing a disease in the exposed group compared to developing a disease in the unexposed group
- it tells us whether the disease is associated with exposure and the strength of the association
RR = incidence of disease among exposed/ incidence of disease among non-exposed
- [a/(a+b)]/[c/(c+d)]
How can the relative risk be used in the analysis of a cohort study?
- RR < 1.0
- RR = 1.0
- RR > 1.0
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RR < 1.0
- risk in the exposed group is less than the risk in the non-exposed group
- the exposure may be protective against the disease
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RR = 1.0
- risk in the exposed group is equal to the risk in the non-exposed group
- the exposures is not associated with the disease
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RR > 1.0
- risk in the exposed group is greater than the risk in the non-exposed group
- the exposure may be a risk factor for the disease