Cornerstones of epidemiology: Observational Studies and Routine Data Flashcards

1
Q

List the hierarchy of scientific evidence

A
Systematic reviews and meta-analysis
Randomised controlled trials
Cohort studies
Case-control studies
Descriptive studies (inc clinical audit)
Case reports/series
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2
Q

Give an example of when you would use a cross-sectional study

A

Accuracy of diagnostic test

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3
Q

Give an example of when you would use a cohort study

A

Prognosis of disease

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4
Q

How could you measure the causes and risk factors of diseases

A

Various non-randomised designs

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5
Q

How could you determine the healthcare needs of the population

A

various, inc ecological (aggregate) studies

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6
Q

How could you determine treatment efficacy

A

Randomised trial

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7
Q

Why are observational studies important

A

They help us find the cause of diseases

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8
Q

Where do many observational studies obtain their data from

A

Routine data

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9
Q

What happens as you go up the hierarchy

A

The data becomes more robust and less prone to confounding and bias, but all are of value

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10
Q

Describe descriptive studies

A

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)

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11
Q

Why is standardised mortality ratio important

A

Used for comparing one area with a “standard population”, adjusting for age (often also sex)

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12
Q

Describe the standardised mortality ratio

A

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.

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13
Q

Describe the types of data used in descriptive studies

A

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

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14
Q

What is meant by routine data

A

“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

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15
Q

Describe some of the different types of routine data

A

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

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16
Q

What are the advantages of routine data

A
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
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17
Q

Describe the disadvantages of routine data

A
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
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18
Q

Describe the coding changes

A

Free text- converted to code- these systems change over time and get updated- careful interpretation required.

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19
Q

Describe some health outcome data collected by routine studies

A
Mortality
Cancer
Notification of infectious diseases
Terminations of pregnancy
Congenital anomalies
Hospital episode statistics
GP data e.g. QOF (see later)
Road Traffic Accidents
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20
Q

Describe cross-sectional studies

A

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?

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21
Q

Why don’t cross-sectional studies give you answers

A

Data only collected and analysed at one period of time, hence you can’t get answers but you can generate hypotheses.

22
Q

Give some examples of cross-sectional studies

A

Health Survey for England: has core topics each year since 1991 + special topics
Census (last one was 2011)
General Lifestyle Survey (old GHS) since 1971: alcohol, smoking, household size etc
National surveys of NHS patients
NHS staff survey

23
Q

Describe the census

A
Began in 1801. Every 10 years
Population estimates
Health question
Other health indicators
Unemployment
Ethnicity
Age
Overcrowding
24
Q

Describe vital registration in England and wales

A

Births, marriages and deaths

Only ask fathers in marriages- needs updating

25
Q

Describe how mortality can be measured

A
Death certificates
Local registrars of births and deaths
ONS for coding and processing
Produced as routinely published tables
General DH1
By area DH5
By cause DH2 etc
Public Health Mortality Files
Data extracts
26
Q

In 1984, why was there a massive increase in the number of deaths due to senile dementia

A

Due to coding change- cannot take data at face value

27
Q

Describe cancer registrations

A

Voluntary notification to local cancer registry: now national system
Also from death certificates
Useful for both incidence and survival information
Increasingly being linked to hospital admissions data and national clinical audits

28
Q

What were the 4 most commonly diagnosed cancers in the UK in 2001

A

Breast, Lung, Colorectal and prostate

29
Q

List some infectious diseases that require notification

A
29 notifiable diseases:
Acute encephalitis	Plague	
Acute poliomyelitis	Rabies
Includes food poisoning, meningitis, tuberculosis and plague
Reported by doctors
30
Q

Describe the Quality and Outcomes Framework

A

Quality and Outcomes Framework (QOF) is a component of the new General Medical Services contract for GPs from April 2004
QOF rewards practices for the provision of quality care, and helps to fund further improvements in the delivery of clinical care
Collected in a national database system: Quality Management Analysis System
Practice-level data are published; being phased out in many areas
Determines how much money GPs have to reinvest in clinical services depending on how well they manage patients with chronic conditions.

31
Q

What is currently happening with the Quality and Outcomes Framework

A

It is starting to be phased out, but it is still a useful data source.

32
Q

Describe administrative hospitals admissions data

A

HES (Hospital Episode Statistics) covers all NHS hospitals + Treatment Centres in England
15m records annually + 60m OPD appts + 19m A&E atts
Coding uses ICD10 and OPCS
Data quality still improving
Many uses

33
Q

What is meant by an episode

A

Finished Consultant Episode - the time spent under the continuous care of a specific consultant

34
Q

What is meant by an admission

A

a patient’s stay in hospital, so comprises 1+ episodes and/or transfers between hospitals

35
Q

What is meant by multiple episodes

A

The patient has been seen by different consultants

36
Q

What is meant by observed morbidity and what does it depend on

A

Health service knows that you’re ill

How the health system is organised influences who observes you to be ill

37
Q

Describe case-control studies

A

Case-control studies are commonly used in epidemiology
Relatively cheap and quick to conduct
Suitable for studying what might cause rare diseases

38
Q

Describe the study designs of case-control studies

A

Appropriate control group- those free of the disease
Target group- those with the disease
Move back in time- ask questions about certain exposures, determine odds of exposure.

39
Q

Outline the procedure for carrying out a case-control study

A

Procedure Example
1 Select cases with disease Cases: brain tumours
controls without disease Controls: from population without cancer

2 Obtain information on past Examine mobile phone exposures and other use to classify people factors into exposure categories

3 Compare proportions of Compare proportion of people exposed in frequent mobile phone cases and controls users in cases and controls

40
Q

Describe the selection of controls

A

Selection of an appropriate comparison group is the most difficult and critical issue in the design of case-control studies

Controls are subjects free of the disease (or outcome of interest) during the same period of time in which the cases were identified.
They should be representative of the population of individuals who would have been identified and included as cases if they had also developed the disease

41
Q

What are some of the sources of data for controls

A
General population
Neighbourhood
Friends/relatives
Hospital or clinic-based
These all vary in amount of recall bias, response rates, selection bias, cost
42
Q

How do you calculate an odds ration

A

Odds of exposure in controls/ odds of exposure in cases

43
Q

What are the advantages of case control studies

A

Good for rare diseases
Quick and cost-efficient
Can investigate many exposures simultaneously

44
Q

What are the disadvantages of case-control studies

A

Problems with selection of controls (selection bias)
Subject to recall bias
uncertainty of exposure-disease time relationship
Poor for rare exposures
Cannot calculate incidence rates directly

45
Q

Why are admission criteria sometimes different

A

They depend on the judgement of each doctor

46
Q

What is meant by a cohort

A

A “cohort” is a group of people who have something in common:
All patients registered with the same GP
Everybody who has received the swine flu vaccine
People with an allergy to cats
A cohort represents the outcome-free population from which cases (people with the outcome) eventually arise

47
Q

Describe the study design of a cohort study

A

Exposed and unexposed individuals in outcome-free individuals
Measure those who get the disease in each group
Calculate risk ratio

48
Q

How do you calculate risk ratio

A

Risk factor of disease in exposure group/ risk factor of disease in unexposed group

49
Q

Describe the advantages of cohort studies

A

Able to look at multiple outcomes

Able to follow through the natural history of disease

Good design to look at risks related to rare exposures

Incidence can be calculated

Can minimise bias in estimating exposure if prospective

50
Q

Describe the disadvantages of cohort studies

A

Inefficient for studying rare diseases- you would need 1000s of participants for thorough analysis

Expensive and time consuming (if prospective)

Loss to follow-up may introduce bias

Healthy worker/volunteer effect may affect generalisability

51
Q

Describe the healthy worker effect

A

Healthier people are more likely to volunteer to participate in cohort studies, hence bias is introduced and the findings are not as representative.