What is Pharmacoepidemiology? Flashcards

1
Q

Definition of pharmacoepidemiology

A

The study of the use of and the effect of drugs in large numbers of people

Pharmacology - FOCUS of inquiry
Epidemiology - METHODS of inquiry

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2
Q

Definition of pharmacology

A

The study of the effects of drugs

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3
Q

Definition of clinical pharmacology

A

The study of the effects of drugs in humans

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4
Q

Central principle of clinical pharmacology

A

Therapy should be individualized, or tailored, to the needs of the specific patient at hand

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5
Q

Individualization of therapy

A

Requires the determination of a risk/benefit ratio specific to the patient at hand

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6
Q

Definition of epidemiology

A

The study of the distribution and determinants of diseases in populations

Pharmacoepidemiology falls within epidemiology

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7
Q

Subdivisions of epidemiology

A

A study of infectious diseases in populations

The study of chronic diseases

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8
Q

Major application of pharmacoepidemiology principles

A

After drug marketing

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9
Q

Pure Food and Drug Act (1906)

A

In response to excessive adulteration and misbranding of the food and drug at the time

No requirement for proof of efficacy or safety of marketed drug

Federal government was allowed to remove drug that was adulterated or misbranded

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10
Q

Food, Drug, and Cosmetic Act (1938)

A

Preclinical toxicity testing was required and manufacturers were required to gather clinical data about drug

No proof of efficacy was required

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11
Q

Phase I testing

A

Determine safety and dosage

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12
Q

Phase II testing

A

Evaluate efficacy, look for side effects

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13
Q

Phase III testing

A

Confirm efficacy, monitor adverse reactions for long term use

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14
Q

Phase IV testing

A

Additional post-market testing

Where pharmacoepidemiology is emphasized

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15
Q

Problems with clinical trials

A

Expensive; small; often drugs are compared against placebo; exclude elderly, children, pregnant women, patients with important comorbidities; may be unethical; not timely

HOWEVER, clinical trials provide gold standard evidence of drug effects

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16
Q

FDA Amendment Act of 2007

A

FDA has the right to require post-marketing studies to be completed

17
Q

Study design: Most causal to least causal

A

RCT
Cohort
Case-control
Analyses of secular trends
Case series
Case reports

18
Q

Case Reports

A

A report of an event in a single patient
Useful for generating hypotheses
Simple and inexpensive

19
Q

Case Series

A

Collections of patients all of whom have either a single exposure or single outcome
NO control group = NO hypothesis testing
Useful to quantify an ADE and ensure particular ADE(s) are not happening in population larger than that studied prior to drug marketing

20
Q

Analyses of Secular Trends (ecological studies)

A

Examine trends in an exposure that is a presumed cause and trends in a disease that is a presumed effect and test whether the trends coincide
Trends examined over either over time or across boundaries
LACK INDIVIDUAL DATA: Ecological fallacy, no control for confounding variables

21
Q

Case-Control Study

A

Compare cases (with outcome) to controls (without outcome) to look for differences in antecedent exposure(s)
Useful to study multiple exposures and uncommon diseases
Potential for bias in control selection and exposure determination
Measure of association = OR

22
Q

Cohort Study

A

A study that identifies a cohort of subjects and follows them over time to determine outcome
Loss to follow-up greater concern

23
Q

Randomized Control Trial

A

Experimental trials: A study in which the investigator controls the exposure received by each participant
RCT: a study where participants are randomly assigned between exposure and control groups
ONLY DESIGN THAT CONTROLS FOR UNKNOWN CONFOUNDERS

24
Q

Pragmatic Clinical Trials

A

A study in which the investigator tests the effectiveness of an intervention under “real-world” conditions
Not generalizable
Evidence paradox

25
Q

Evidence Paradox

A

In order to inform clinicians on how to treat patients, we need real-life patients
People with comorbidities
People who forget to take their medication

26
Q

Relative Risk

A

Measure of association
Based on incident data
Cohort, RCTs
Ratio of risk
a/(a+b) / c/(c+d)

27
Q

Odds Ratio

A

Measure of association
Based on prevalent data
Case-control, cross sectional
Ratio of odds
a/c / b/d = ad/bc

28
Q

P-value of significance

A

< 0.05

29
Q

Significant CI

A

Not including the null

30
Q

Study results

A
  1. No association: Exposure and effect are independent
  2. Artificial association (spurious): Either chance (unsystemic variation) or bias (systemic variation)
  3. Indirect association (confounded)
  4. Causal association (direct or true)
31
Q

Types of error

A
  1. Random: Tested for and fixed statistically
  2. Bias: Avoided with good study design
  3. Confounding: Adjusted for when recognized
32
Q

Biases

A
  1. Information bias: Interview bias (probing more thoroughly some subjects more than others) or recall bias (more than just a faulty memory)
  2. Selection bias: When controls don’t represent the population that produced the cases or differential loss to follow-up
33
Q

Confounder

A

A variable related to both the exposure and the outcome
NOT be on the path from exposure to outcome
Confounding occurs when such a variable is distributed unequally between groups