The Use of Data Flashcards

1
Q

Why is data so important in patient-centred care?

A

knowledge of data and how to present it to patients is a key skill in a world where the management of a patient is now centred around the patient, with the patient understanding what is happening to them and being involved in making decisions.

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2
Q

Why is data important in longitudinal care?

A

To identify deviation from a patient’s “normal”

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3
Q

Is GP a filter for hospital medicine?

A

No. There is a complex interaction between the two with patients and communication moving back and forth

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4
Q

What is the symptom ice berg?

A

Patients will often only report a very small proportion of symptoms they have been experiencing (the tip of the iceberg)

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5
Q

What is the difference between disease and illness?

A

Disease is the bio-medical perspective (signs, symptoms, diagnosis)
Illness is the patient’s perspective (ICE, experience)

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6
Q

What are some medical factors which may affect uptake of care?

A

New symptoms, visible symptoms, increasing severity, duration

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7
Q

What are some non-medical factors which may affect the uptake of care?

A
Crisis
Peer pressure
Beliefs
Expectations
Economic
Psychological
Environmental
Cultural
Ethnicity
Age
Gender
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8
Q

What are the 3 main aims of epidemiology?

A

Description
Explanation
Disease control

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9
Q

What is the purpose of epidemiology?

A

It compares groups in order to detect differences pointing to aetiological clues, scope for prevention
Identification of high risk groups

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10
Q

What incidence and prevalence may a minor illness have?

A

High incidence

Low prevalence

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11
Q

What incidence may a chronic illness have?

A

Low incidence

High prevalence

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12
Q

What is relative risk?

A

Strength of an association between a suspected risk factor and the disease

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13
Q

What is the equation for relative risk (RR)?

A

Incidence of disease in exposed group/incidence of disease in unexposed group

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14
Q

What are some sources of epidemiological data?

A
Mortality data
Stats from different specialities
Social security stats
Drug misuse databases
NHS expenditure data
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15
Q

What is 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.

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16
Q

What is CHA2DS2-VASc used for?

A

Predicting risk of stroke

17
Q

Name a set of guidelines that help social care professionals and patients understand medical data?

A

SIGN

18
Q

What is the purpose of a descriptive study?

A

Describe the amount and distribution of a disease in a given population
Does not provide conclusions about causation

19
Q

What factors do cross-sectional studies cover?

A

Disease frequency
Survey
Prevalence study

Observations are made at a single point in time

20
Q

What do case control studies do?

A

Compare two groups of people (affected and unaffected)

Individuals are assessed for exposure to risk factors and differences/averages calculated

21
Q

What is a cohort study?

A

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.

22
Q

What are trials used for?

A

Test ideas about aetiology or evaluate interventions

23
Q

What are some important factors to consider when interpreting results of studies?

A

Standardising results
Standardising mortality rates
Data quality

24
Q

What is 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

25
Q

What are some types of bias?

A
Selection
Information
Follow up
Systematic error
Publication
26
Q

What is a confounding factor?

A

A factor which is associated independently with both the disease and with the exposure and so distorts the relationship

Commonly age sex or social class

27
Q

How do we deal with confounding variables?

A

Randomisation

28
Q

What are the criteria for causality?

A
Strength of association
Consistency
Specificity
Temporality
Biological gradient
Plausibility
Coherence
Analogy
Experiment