Prevention and Screening Flashcards

1
Q

Primary Prevention

A

To prevent the initial occurence of disorders by focusing on the risk factor and risk conditions which are associated with, or caused increased susceptibility to specific disease.

An example would be exercising to decrease your risk of a heart attack.

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2
Q

Secondary Prevention

A

Stopping or slowing down the progress of a disease or disorder as soon as possible before medical treatment is required.

For example, putting patients on low-dose aspirin after a heart attack to prevent a second one.

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3
Q

Klein’s Triad

A

Physicians have been shown to:

a) overestimate the actual risk to the patient of the thing to be treated

b) overestimate the absolute risk reduction that the intervention will deliver

c) underestimate the risk that the intervention carries itself

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4
Q

Tertiary Prevention

A

Reducing the occurence of relapses of a chronic disease or disorder. Also, softening the impact caused by the disease on a patient’s function, longevity and quality of life.

Example would be cardiac or stroke rehab programs. The most classic case would be palliative care and harm reduction.

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5
Q

Attributable Risk

A

In epidemiology, attributable risk is the difference in rate of a condition between an exposed population and an unexposed population. Attributable risk is mostly calculated in cohort studies, where individuals are assembled on exposure status and followed over a period of time.

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6
Q

Sensitivity

A

True positive rate.

Proportion of actual positives correctly identified as such.

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7
Q

Specificity

A

True negative rate.

Proportion of actual negatives correctly identified as such.

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8
Q

Positive Predictive Value

A

All the actual positives / total number of positives

* Prevalence of a disease also affects its PPV and NPV.

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9
Q

Negative Predictive Value

A

All of the actual negatives / the total number of negatives.

* Prevalence affects PPV and NPV.

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10
Q

Problems With Screening

A

Screening low-risk patients can cause more harm than good.

Tests with high false-positives will create worries among patients and unnecessary further tests for them and hte health system (breast cancer screening).

Tests with high false-negatives may create false security to patients.

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11
Q

Age for Mammogram (Asymptomatic)

A

50 years old

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12
Q

Age for Prostate Exam

A

When symptomatic

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13
Q

PAP Smear Frequency

A

Every 3 years

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14
Q
A
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