Chapter 9: Epidemiological Applications Flashcards

1
Q

Epidemiology

A

The study of the DISTRIBUTION and factors that determine health-related states or events in a population, and the use of this’s information to control health problems.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Descriptive Epidemiology

A

A form of epidemiology that describes a disease according to its person, place or time.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Determinants of health events

A

Those factors, exposures, characteristics and behaviors and contexts that determine (or influence) the patterns

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Analytic Epidemiology

A

Looks at the etiology (origins or causes) of the disease and deals with determinants of health and disease.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Epidemiology is the study of populations to

A
  • Determine the causes of health and disease in a population
  • Monitor the health of the population
  • Identify the determinants of health and disease in communities
  • Investigate and evaluate interventions to prevent disease and maintain health
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

How do nurses use Epidemiology?

A
  • Nurses look at health and at disease causation, and how both prevent and treat illness.
  • Nurses are involved in the surveillance and monitoring of disease trends, e.g., homes, schools, work places, clinics.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

What are the basic concepts of epidemiology?

A
Rates, Proportions, Risk, Ratio
Measures of Morbidity and Mortality
Measures of Incidence
Measures of Prevalence
Epidemic
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Epidemiologic Triangle

A

Agent, host and environment

Changes in one of the elements of the triangle can influence the occurrence of disease by increasing or decreasing a persons risk for disease.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Web of Casualty

A

Recognizes the complex interrelationships of many factors interacting, sometimes in subtle ways, to increase (or decrease) the risk of disease.

Associations are sometimes mutual, with lines of causality going in both directions.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Levels of Preventive Interventions

A
Primary
i.e., Immunizations
Secondary
i.e., Screenings
Tertiary
i.e., Physical and occupational therapy
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Primary intervention

A

intervention that seeks to promote health and prevent the occurrence of disease, injury, or disability

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Secondary Intervention

A

intervention that seeks to detect disease early in its progression, before clinical signs and symptoms become apparent, in order to make an early diagnosis and begin treatment

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Tertiary Intervention

A

intervention aimed at disability limitation and rehabilitation from disease, injury, or disability

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Screening

A

A key component of many secondary prevention interventions

Involves the testing of groups of individuals who are at risk for a specific condition but do not have symptoms.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Goal of Screenings

A

The goal is to determine the likelihood that these individuals will develop the disease.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

A screening test is NOT

A

A diagnostic test.

17
Q

Effective screening programs must include

A

referrals for diagnostic evaluation for those who screen positive, to determine if they actually have the disease and need treatment.

18
Q

Reliability of screenings

A

How precise the measurement is

The measurement’s consistency or repeatability

19
Q

Validity of Screenings

A

Is the measurement really measuring what we think it is, and how exactly
Measured by sensitivity and specificity

20
Q

Sensitivity

A

Quantifies how accurately the test identifies those with the condition or trait; true positives

21
Q

Specificity

A

Indicates how accurately the test identifies those without the condition or trait; true negatives

22
Q

Positive Predictive Value

A

The proportion of persons with a positive test who actually have the disease

23
Q

Negative Predictive Value

A

The proportion of persons with negative tests who are actually disease-free

24
Q

Basic Methods of Epidemiology: Sources of Data

A

Routinely collected data (census data, vital records, surveillance data)
Data collected for other purposes (medical records)
Original data collected for specific epidemiologic studies

25
Q

Basic Methods of Epidemiology: Rate Adjustment

A

Age adjusted rate
Direct adjusted rate
Indirect adjusted rate

26
Q

Basic Methods in Epidemiology: Comparison Groups

A

To decide if the rate of disease is the result of a suspected risk factor, compare the exposed group with a group of comparable unexposed persons

27
Q

Descriptive Epidemiology includes

A

Person
Place
Time

28
Q

Descriptive Epidemiology: Person

A
Race
Sex
Age
Education
Occupation
Income
Marital Status
29
Q

Descriptive Epidemiology: Place

A

Examine geographic patterns

30
Q

Descriptive Epidemiology: Time

A

Secular trends
Point epidemic
Cyclical time patterns (seasonal fluctuation; calendar events)
Nonsimultaneous, event-related clusters

31
Q

Analytic Epidemiology includes

A

Cohort Studies
Case-Control Studies
Cross-Sectional Studies
Ecological Studies

32
Q

Cohort Studies

A

Prospective studies

Retrospective studies

33
Q

Case-Control Studies

A

Odds ratio

34
Q

Ecological Studies

A

Bridges descriptive and analytic Epidemiology

35
Q

Expiremental Studies include

A

Clinical Trials

Community Trials

36
Q

Clinical Trials

A

Randomization to groups

Masking or “blinding” treatment

37
Q

Causality includes

A

Statistical Associations
Bias - Confounding factor

Assessing for Causality - Criteria for causality

38
Q

Bias

A

Selection or the way subjects enter a study
Misclassification of subjects once they are in the study
Confounding factor