Epidemiology Flashcards

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1
Q

Define ‘routine data’

A

Data that are routinely collected and recorded in an ongoing systematic way, often for administrative purposes

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2
Q

What are the advantages & disadvantages of using routine data?

A
  • Advantages
    • Relatively cheap
    • Already collected/available
    • Standardised collection procedures
  • Disadvantages
    • May not answer the question
    • Variable quality
    • Not every case captured
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3
Q

What are the coding systems for diagnoses and procedures in hospital?

A
  • Diagnoses- ICD10
  • Procedures - OPCS4
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4
Q

What are the advantages to using hospital episode statistics for study?

A
  • Advantages
    • Comprehensive
    • Unbiased
    • Based on case notes
  • Disadvantages
    • Data may not be complete
    • In hospital death only
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5
Q

What are the top 3 causes of UK mortality?

A
  1. Heart and circulatory disorders 33%
    • IHD 23%
    • Stroke 10%
  2. Cancer 30%
    • Trachea, bronchus, lung
    • Breast, prostate
    • Colorectum
  3. Respiratory disorders 13%
    • Pneumonia
    • COPD
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6
Q

What are the top 5 causes of mortality worldwide?

A
  1. IHD
  2. Stroke and other cerebrovascular disease
  3. LRTI
  4. COPD
  5. Diarrhoeal diseases
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7
Q

Define ‘clinical governance’

A

A transparent system for the continual maintenance and improvement of healthcare standards both on an individual and organisational level within the NHS

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8
Q

What are the elements of clinical governance?

A
  • Education and training
  • Clinical audit
  • Clinical effectiveness
  • Research and development
  • Openness
  • Risk management
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9
Q

What does the Care Quality Commission do?

A
  • Independently inspect healthcare services against standards set by the DoH
  • Investigate serious failures in healthcare services
  • Publish regular ratings of NHS trusts
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10
Q

Define ‘clinical audit’

A

A quality improvement process that seeks to improve patient care and outcomes through the systematic review of care against explicit criteria and the implementation of change

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11
Q

How common is overweight/obesity in the UK and what risks does this confer?

A
  • 20% obese, 50% females overweight
  • Nurses’ health study
    • overweight -> 3 years less life
    • Obese -> 7 years less
    • Active lifestlye (30 min walk per day) prevents 30% obesity and 45% new DM
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12
Q

How common are sexual health issues in the UK?

A
  • 10% 16-24 year olds have ≥1 STI
  • Increased in urban areas and amongst blacks and minorities
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13
Q

What is the recommended alcohol limit and how many people have alcohol issues in the UK?

A

14 units/week (1 unit = 10ml EtOH)

5% men and 2% women report problems

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14
Q

How common are mental health problems in the UK?

A

15% lifetime risk (most commonly depression and anxiety disorders)

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15
Q

What is the hierarchy of evidence?

A
  1. Systematic review and meta analysis
  2. RCTs
  3. Cohort or case control studies
  4. Descriptive studies
  5. Case reports
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16
Q

What is the point of descriptive studies?

A

Can generate hypotheses and provide frequency data (incidence/point prevalence); can’t determine causation

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17
Q

What are some examples of descriptive studies?

A
  • Cross sectional surveys/census
  • Ecological studies
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18
Q

What are case control studies?

A

Retrospective study of exposure in a case group (with the disease) and a control group (without). The proportion of exposed in each group generates an odds ratio

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19
Q

What are the pros and cons of case control studies?

A
  • Pros:
    • Quick and cheap
    • Well suited for diseases with long latent periods
    • Good to evaluate rare diseases
    • Can examine multiple aetiological factors for a single disease
  • Disadvantages
    • Inefficient for evaluating rare exposures
    • Cannot calculate incidence rates
    • Temporal relationship between exposrue and disease can be difficult to establish
    • Recall bias
    • Selection bias
20
Q

What is a cohort study?

A

Prospective study comparing development of disease in exposed and non exposed groups. Incidence of disease in each group -> relative risk

21
Q

What are the pros and cons of cohort studies?

A
  • Pros
    • Good for evaluating rare exposures
    • Can examine multiple effects of a single exposure
    • Can elucidate temporal relationship
    • Direct incidence calculation
  • Cons
    • Inefficient for evaluation of rare diseases
    • Expensive and time consuming
    • Loss to follow up affects results
22
Q

What is an RCT?

A

A planned experiment designed to assess the efficacy of an intervention. Randomisation decreases selection bias and blinding decreases measurement bias

23
Q

What are the pros and cons of RCTs?

A
  • Pros
    • Most reliable demonstration of causality
  • Cons
    • Non compliance
    • Loss to follow up
    • Validity depends on quality of study
    • Ethical issues
    • Selection criteria may limit generalisability
24
Q

How do you interpret a forest plot?

A
  • Square = OR
    • size = size of study
  • Line = 95% CI of OR
  • Diamond = combined odds ratio
    • Width = 95% CI
25
Q

What are the 5 steps of EBM?

A
  1. Question
  2. Search
  3. Appraise
  4. Apply
  5. Evaluate
26
Q

What are the Bradford Hill causation criteria?

A
  • Strength of association
  • Consistency
  • Specificity
  • Temporal relationship
  • Dose response/biological gradient
  • Plausibility
  • Coherence
  • Experiemntal evidence
  • Analogy: if a similar association can be demonstrated in another setting
27
Q

Define ‘bias’

A

Inaccurate data due to systematic error in selection, measurement or analysis

28
Q

What is selection bias?

A

Systematic difference between the characteristics of those selected for a study and those who were not or differences between study groups

29
Q

What is measurement bias?

A

When measurements or classifications of disease or exposure are inaccurate e.g. inaccuracies of instruments, expectations of observers or participants

30
Q

What is analysis bias?

A

Error caused by participants being lost to followup or switching treatment groups.

31
Q

What is confounding and what are some common confounders?

A

Error in the interpretation of an accurate measurement - a confounder is any factor which is prognostically linked to the outcome and is unevenly distributed between study groups. Not a confounder if it lies on the causal pathway between the variables of interest.

Commonly: age, sex, SES

32
Q

How can you reduce confounding?

A
  • Randomisation
  • Stratification
  • Standardisation e.g. SMR
    • Ratio of observed:expected deaths
    • Expected deaths derived from larger population
  • Regression
33
Q

What is the odds ratio?

A

=odds of exposure in cases/odds of exposure in controls

OR = ~RR if disease is rare (<10%)

34
Q

What is the relative risk?

A

Increase/decrease in probability of a disease given a particular risk factor

=incidence in exposed/incidence in unexposed

35
Q

What is the attributable risk?

A

The measure of excess risk due to a factor

36
Q

What are the modified Wilson criteria?

A

For determining whether a screening programme is worthwhile:

  • Disease
    • Important health problem
    • Well recognised pre clinical stage
    • Natural history well understood
  • Test
    • Valid and reliable
    • Simple and cheap
    • Safe and acceptable
  • Diagnosis and treatment
    • Adequate facilities
    • Acceptable treatment
    • Early intervention is of more benefit than later treatment
  • Cost effective
37
Q

What is the difference between sensitivity, specificity, PPV and NPV?

A
  • Sensitivity: detect true positives
  • Specificity: exclude true negatives
  • PPV: how likely to have disease if positive
  • NPV: how likely to not have disease if negative
  • PPV and NPV depend on disease frequency
38
Q

What are some biases affecting the effectiveness of a screening programme?

A
  • Selection bias: healthiest come for screening
  • Lead time bias: disease diagnosed earlier -> increased survival time
  • Length time bias: outcome appears better because more disease with good outcome detected
39
Q

What is primordial prevention?

A

Prevention of factors promoting the emergence of risk factors: lifestyle, behaviours, exposure patterns

40
Q

What is primary prevention?

A

Prevention of disease onset e.g. vaccination

41
Q

What is secondary prevention?

A

Halting progression of established disease by early detection followed by prompt, effective treatment

42
Q

What is tertiary prevention?

A

Rehabilitation of people with established disease to minimise residual disability and complications

43
Q

What is the prevention paradox?

A

Many people exposed to a small risk may generate more disease than a few exposed to a large risk. So when many people receive a small benefit the total benefit may be large. However, individual inconvenience may be high to the many while benefit is only to a few.

44
Q

What is likelihood ratio?

A

Measure of how much a test alters your probability of the disease.

LR = p [test result if disease present]/ p [test result if disease absent]

LR for positive result = sensitivity/(1-specificity)

LR for negative test result = (1-sensitivity)/specificity

Post test odds = pre test odds x likelihood ratio

45
Q

What are the reasons to terminate a study early?

A

Safety concerns, overwhelming benefit, futility