Intro To Pharmacoepidemiology Flashcards

1
Q

Define pharmacoepidemiology

A

The study of the USE and EFFECT of drugs in large populations

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2
Q

How is pharmacoepidemiology different from clinical pharmacology?

A

Clinical pharmacology is the study of drugs in INDIVIDUALS
- it states that therapy should be individualized and tailored to the needs of the individuals

Meanwhile, pharmacoepi deals with drugs in POPULATIONS

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3
Q

What is the difference between epidemiology and pharmacoepidemiology?

A

Epidemiology studies the DETERMINANTS and DISTRIBUTION of a disease (not drug effects on the population with the disease!)

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4
Q

Epidemiology (not pharmacoepi) is separated into two basic areas:

A

Epidemics = study of infectious disease outbreaks
Chronic disease epidemiology

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5
Q

Pharmacoepidemiology applies the ________ of epidemiology to the _________ of clinical pharmacology

A

Pharmacoepidemiology applies the METHODS of epidemiology to the CONTENT of clinical pharmacology

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6
Q

What legislation was made in response to excessive adulteration/misbranding of food and drugs?

A

Pure Food and Drug Act, 1906

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7
Q

What legislation was formed after 100+ people died of renal failure from the marketing of a sulfanilamide elixir in diethyl glycol?

A

Food, Drug and Cosmetic Act, 1938

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8
Q

The Food, Drug and Cosmetic Act required manufacturers to do what to release drugs to the public?

A

Preclinical toxicity testing and continuously gathering clinical data
(BUT no proof of efficacy required yet!)

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9
Q

What are some problems with randomized clinical trials?

A
  • expensive
  • small population (usually)
  • drugs compared to placebo
  • exclude certain populations at risk (elderly, pregnant, comorbidities)
  • may be unethical
  • not timely
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10
Q

What legislation required manufacturers to submit post-marketing research at approval of a new drug?

A

FDA Amendment Act, 2007

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11
Q

What is a case report?

A

A report of an event involving one single patient
Simple and inexpensive, usually for extremely rare events

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12
Q

What is a case series?

A

Collections of patients whom all had a single exposure/single outcome
No control group = no tested hypothesis tested!

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13
Q

What is an analysis of secular trends? What does it lack?

A

Examine trends in an exposure that is the presumed cause with trends in the presumed effect in a disease and compare the correlations.

Lacks individual data! (Only compares trends)

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14
Q

What is a case-control study? What is its measure of association?

A

Compares cases’ outcomes to control group outcomes to look for differences in source exposures.
High potential for bias

Measure of association = odds ratio

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15
Q

What is a cohort study? What are its measures of association?

A

Identifies a cohort of subjects and follows them over time to determine outcomes. Involved an exposure at the beginning with some subjects being exposed and some not. Loss of follow-up is a concern.

Measures of association = risk ratio and attributable risk

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16
Q

What is a randomized control/clinical trial?

A

Studies where investigators control the exposure received by each patient and subjects are randomly assigned to control or exposure groups.

17
Q

What is a pragmatic clinical trial?

A

Studies where the investigator tests the effectiveness of an intervention under “real world” conditions.
More inclusive, but with so much intersubject variability it is harder to draw conclusions

18
Q

What is the Evidence Paradox?

A

Even though thousands of RCTs are published yearly, there is not enough evidence to effectively inform clinical decision-making.
We need real-life patients (comorbid, non-adherent etc)

19
Q

What types of studies use Odds ratios and Relative risk/Risk ratios?

A

ORs are based on prevalent data, used in case-control and cross sectional trials
(Odds of outcome in exposed/odds of outcome in control)

RA’s are based on incidence data, used in cohort and RCTs
(Risk in exposed/risk in non-exposed)

20
Q

When is the null hypothesis significant?

A

When the null outcome is NOT included in the confidence interval. (When the CI is too wide, it decreases credibility of the results)

21
Q

What are some examples of study result categories? (4)

A
  1. No association
  2. Artificial association (chance, biased)
  3. Indirect association (confounded)
  4. Causal association (true association!)
22
Q

What are the two types of bias errors?

A
  1. Information bias:
    - Interviewer probes some subjects more thoroughly than others OR
    - recall bias
  2. Selection bias:
    - controls don’t represent the actual population makeup OR
    - the makeup of the group gets skewed by drop-outs
23
Q

What are confounders?

A

Variable related to both the exposure and outcome. Confounding occurs when these variables are distributed unequally between groups
Ie. Observing PPI effects on kidney disease —> age affects both of these [fewer elderly on PPIs, but many more elderly have CKD]