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Surveillance and Epidemiologic Investigation (1)

Authored by Terri Hannibal

Professional Development

Professional Development

Used 1+ times

Surveillance and Epidemiologic Investigation (1)
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25 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

The infection preventionist (IP) is concerned about an increase in Escherichia coli infections in patients who underwent colon surgeries in the past year. What kind of graph should the IP use to determine whether the problem is ongoing?

Scatter plot

Line chart

Histogram

Mekko chart

Answer explanation

Rationale: An epidemic curve (or epi curve) is a histogram (bar chart) that shows the distribution of cases over time. The time intervals are displayed on the x-axis (the horizontal axis), and case counts are displayed on the y-axis (the vertical axis). The result is a visual representation of illness onset in cases associated with an outbreak. The epi curve is an essential tool in an outbreak investigation and a key feature of descriptive epidemiology. It can provide useful information on the size, pattern of spread, time trend, and exposure period of the outbreak, and is often included in the epidemiological (epi) summary. The epi curve should be continuously updated as the outbreak progresses..

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In an assessment of 100 patients at an acute care facility, 15 patients were identified as having Candida auris, while 85 patients tested negative. What is the prevalence rate of Candida auris in this population?

20%

15%

10%

5%

Answer explanation

Rationale: The prevalence rate is calculated by dividing the number of individuals with the disease by the total population and multiplying by 100. In this case, (15/100) × 100 = 15%

3.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

A patient presents to the emergency department with a history of unprotected contact with a bat three weeks ago. The patient stated they felt like they had the flu a week ago with fever and headache, but now presents with confusion, agitation, hallucinations, insomnia, and unusual behavior such as hydrophobia. The infection preventionist reviews the physician’s orders to ensure what disease is being ruled out?

Plague

Leprosy

Hantavirus

Rabies

Answer explanation

Rationale: The first symptoms of rabies may be similar to the flu, including weakness or discomfort, fever, or headache. There also may be discomfort, prickling, or an itching sensation at the site of the bite. These symptoms may last for days.

Symptoms then progress to cerebral dysfunction, anxiety, confusion, and agitation. As the disease progresses, the person may experience delirium, abnormal behavior, hallucinations, hydrophobia (fear of water), and insomnia. The acute period of disease typically ends after 2 to 10 days. Once clinical signs of rabies appear, the disease is nearly always fatal, and treatment is typically supportive.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the attack rate when 20 individuals developed gastroenteritis within 24 hours of eating at a luncheon attended by 75 out of 100 invited people?

26.6

20

2.6

0.25

Answer explanation

Rationale: The attack rate is a measure used in epidemiology to determine the proportion of people who develop a specific illness among an at-risk population. In this scenario, the attack rate is calculated by dividing the number of individuals who developed gastroenteritis (20) by the total number of people who attended the luncheon (75), and multiplying the result by 100. The formula for attack rate is (Number of cases / Total population) × 100. The attack rate helps in understanding the proportion of the at-risk population (in this case, luncheon attendees) affected by the illness. This information is particularly useful in investigating outbreaks and assessing the risk of transmission.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following approaches would be most appropriate to employ to ensure the sustained reduction of central line–associated bloodstream infections following the implementation of best practices?

Human factor analysis

Root cause analysis

Reliability science

Failure mode and effects analysis

Answer explanation

Rationale: Failure mode and effects analysis (FMEA) is a systematic method for identifying potential failure modes in a system, determining their effects, and prioritizing actions to mitigate or eliminate these failures. In the context of reducing central-line associated bloodstream infections, FMEA can help the hospital’s team thoroughly analyze the potential failure modes in the process of central line insertion, maintenance, and care. By identifying these failure modes and their potential effects on infection rates, the team can prioritize interventions and strategies to prevent them from occurring, thus facilitating the sustained reduction of infections over time.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is an example of process surveillance?

Monitoring the number of indwelling urinary catheters per patient day

Monitoring occurrences of surgical site infections

Monitoring adherence to a central line insertion bundle

Monitoring for ventilator-associated events (VAEs)

Answer explanation

Rationale: Process surveillance is the review of practices by healthcare personnel to identify whether infection prevention and control policies and procedures or best practices are being followed. The other options are examples of outcome surveillance.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

A unit had 120 catheter days, 216 bed days of care, and 2 catheter associated urinary tract infections (CAUTIs) for the previous month. What is the CAUTI rate?

55.56 per 100 catheter days

9.26 per 1,000 catheter days

1.8 per 1,000 catheter days

16.67 per 1,000 catheter days

Answer explanation

Rationale: The catheter-associated urinary tract infection (CAUTI) rate is a ratio. In this scenario, the numerator is 2 (number of CAUTIs) and the denominator is 120 (number of catheter days): 2/120 = 0.01667. This number (0.01667) must then be multiplied by a constant (1,000), which results in 16.67 CAUTIs per 1,000 catheter days.

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