Cornerstones of epidemiology: Observational Studies and Routine Data Flashcards
List the hierarchy of scientific evidence
Systematic reviews and meta-analysis Randomised controlled trials Cohort studies Case-control studies Descriptive studies (inc clinical audit) Case reports/series
Give an example of when you would use a cross-sectional study
Accuracy of diagnostic test
Give an example of when you would use a cohort study
Prognosis of disease
How could you measure the causes and risk factors of diseases
Various non-randomised designs
How could you determine the healthcare needs of the population
various, inc ecological (aggregate) studies
How could you determine treatment efficacy
Randomised trial
Why are observational studies important
They help us find the cause of diseases
Where do many observational studies obtain their data from
Routine data
What happens as you go up the hierarchy
The data becomes more robust and less prone to confounding and bias, but all are of value
Describe descriptive studies
Describe the distribution of factors or disease in relation to:
Person (e.g. age, sex, race, marital status, occupation, lifestyle)
Place (e.g. variation between and within countries/units – CQC does this)
Time (variation over time and season)
Why is standardised mortality ratio important
Used for comparing one area with a “standard population”, adjusting for age (often also sex)
Describe the standardised mortality ratio
Represents the ratio of the number of observed deaths (or cases of disease) (O) in a particular population to the number that would be expected (E), if that population had the same mortality or morbidity experience as a standard population, corrected for differences in age (and sex) structure.
Describe the types of data used in descriptive studies
Routine e.g. births, deaths
Survey e.g. Health Survey for England
Performance management: Quality and Outcomes Framework for GPs
Other study designs tend to collect their own data
What is meant by routine data
“Data that are routinely collected and recorded in an ongoing systematic way, often for administrative or statutory purpose and without any specific research question in mind at the time of collection”
The Law says that you have to collect them
Describe some of the different types of routine data
Healthcare use and outcome data e.g. deaths, hospital admissions, primary care consultations or prescriptions, immunisation uptake
Exposures and health determinant data, e.g., air pollution, crime statistics
Demographic data e.g. census
Geographical data e.g. health authority boundaries, location of GP practices
Health service provision, e.g. bed/staff counts
What are the advantages of routine data
Relatively cheap Already collected and available Standardised collection procedures Relatively comprehensive – population coverage, large numbers Wide range of recorded items Available for past years Experience in use and interpretation Can look at time trends as data is available from past years
Describe the disadvantages of routine data
May not answer the question (no information or not enough detail) Incomplete ascertainment (not every case captured) Variable quality (e.g. variable diagnosis fields) Validity may be variable (i.e. do they measure what you think they measure?) Disease labelling may vary over time or by area Coding changes may create artefactual increases or decreases in rates, e.g. ICD9 to ICD10 Need careful interpretation
Describe the coding changes
Free text- converted to code- these systems change over time and get updated- careful interpretation required.
Describe some health outcome data collected by routine studies
Mortality Cancer Notification of infectious diseases Terminations of pregnancy Congenital anomalies Hospital episode statistics GP data e.g. QOF (see later) Road Traffic Accidents
Describe cross-sectional studies
Useful for health care providers to allocate resources efficiently and plan effective prevention
Provide clues leading to hypotheses which can be tested in analytical studies
Describe status of individuals with respect to absence or presence of both exposure and disease assessed at the same point in time
…but cannot easily distinguish whether exposure preceded disease: chicken or egg?