The Use of Data Flashcards

1
Q

Only about __% of the public consult their GP about their health complaints.

A

about 20%

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2
Q

Only _% are referred on to hospital investigation or care.

A

3%

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3
Q

List factors that affect the uptake of care

A
  • Lay referral

Information sources;

  • Family and friends
  • Internet
  • TV
  • Magazines
  • Leaflets, websites

Medical;

  • New symptoms
  • Visible symptoms
  • Increasing severity, duration

Non-medical;

  • Peer pressure
  • Patient’s ICE
  • Social/economic class
  • Environmental, culture
  • Ethnicity, age, gender
  • Media
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4
Q

List the three main aims of epidemiology.

A

Description: to describe the amount and distribution of disease in human populations.

Explanation: to elucidate the natural history and identify aetiological factors for disease usually by combining epidemiological data with data from other disciplines such as biochemistry, occupational health and genetics.

Disease control: to provide the basis on which preventive measures, public health practices and therapeutic strategies can be developed, implemented, monitored and evaluated for the purposes of disease control.

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5
Q

Epidemiology compares groups (study populations) in order to detect differences pointing to… what three things?

A
  • Aetiological clues
  • The scope for prevention
  • The identification of high risk or priority groups in society
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6
Q

Define ‘relative risk’.

A

The measure of the strength of an association between a suspected risk factor and disease under study.

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7
Q

Explain how to calculate relative risk.

A

Relative risk (RR) = incidence of disease in exposed group/incidence of disease in unexposed group.

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8
Q

Describe what is meant by health literacy.

A

Health literacy is about people having the knowledge, skills, understanding and confidence to use health information, to be active partners in their care, and to navigate health and social care systems.

Health literacy is being increasingly recognised as a significant health concern around the world.

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9
Q

The SIGN Guidelines are intended to;

A
  • Help health and social care professionals and patients understand medical evidence and use it to make decisions about healthcare
  • Reduce unwarranted variations in practice and make sure patients get the best care available, no matter where they live
  • Improve healthcare across Scotland by focusing on patient-important outcomes
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10
Q

The SIGN Guidelines are intended to;

A
  • Help health and social care professionals and patients understand medical evidence and use it to make decisions about healthcare
  • Reduce unwarranted variations in practice and make sure patients get the best care available, no matter where they live
  • Improve healthcare across Scotland by focusing on patient-important outcomes
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11
Q

Describe what is meant by a descriptive study.

A
  • Attempt to describe the amount and distribution of a disease in a given population
  • Does not provide definitive conclusions about disease causation, but may give clues to possible risk factors
  • Cheap, quick and give a valuable initial overview of a problem
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12
Q

Describe a cross-sectional study (AKA disease frequency, prevalence study).

A

Observations are made at a single point in time.

  • Quick BUT
  • Impossible to infer causation
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13
Q

Describe a case control study.

A

Two groups of peopler compared;

  • A group of individuals who have the disease of interest (cases)
  • A group of individual who do not have the disease (controls)

Data is then gathered to determine whether individual were exposed to the suspected etiological factor. The average exposure in the two groups is compared to identity significant differences. The results are then expressed as relative risks.

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14
Q

Describe a cohort study.

A

In cohort studies, baseline data on exposure are collected from a group of people who do not have the disease under study.

The group is then followed through time until a sufficient number have developed the disease to allow analysis.

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15
Q

Define ‘trial’.

A

Experiments used to test ideas about aetiology or to evaluate interventions.

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16
Q

The _____ ____ ____ is the definitive method of assessing any new treatment in medicine.

A

randomised control trial

17
Q

Name the 3 factors that need to be considered when interpreting the results of a study/trial.

A

Standardisation: A set of techniques used to remove (or adjust for) the effects of differences in age or other confounding variables, when comparing two or more populations.

Standardised Mortality Ratio (SMR): A standardised death rate converted into a ratio for easy comparison.

Quality of Data.

Case definition.

Coding and classification.

Ascertainment: is data complete? Are researchers all putting in the same amount of effort across populations?

18
Q

Define ‘bias’.

A

Any trend in the collection, analysis, interpretation, publication or review of data that can lead to conclusions that are systematically different from the truth.

19
Q

Describe selection bias.

A

Arises when study sample is not truly representative of the whole study population about which conclusions are to be drawn.

20
Q

Describe information bias.

A

Arises from systematic errors in measuring exposure or disease.

21
Q

Describe follow up bias.

A

Arises when one group of subjects is followed up more assiduously than another to measure disease incidence or other relevant outcome

22
Q

Describe systematic error in terms of studies/trials.

A

A form of measurement bias where there is a tendency for measurements to always fall on one side ego the true value.

23
Q

Describe publication bias.

A

Occurs where positive results have a greater chance of being published (even if quality of study is poorer).

24
Q

Define ‘confounding factor’.

A

A factor that is associated independently both with the disease and the exposure under investigation.

25
Q

List methods of altering study design to deal with confounding factors.

A
  • Randomisation
  • Restriction of eligibility
  • Results can be adjusted to take into account suspected confounding factors
26
Q

List the criteria for causality.

A
  • Strength of association
  • Consistency: repeated observation
  • Specificity: a single exposure leading to a single disease
  • Temporality: the exposure comes before the disease
  • Biological gradient: as the exposure increases so does the risk of disease
  • Biological plausibility: the association agrees with what is known about the biology of the disease
  • Coherence: the association does not conflict with what is known about the biology of the disease.
  • Analogy: another exposure-disease relationship exists which can act as a model for the one under investigation
  • Experiment: a suitably controlled experiment to prove the association as causal