Title: PCDS - CGM Modules - Module 5

Q1

Q: Can we verify this data?
- Yes (correct)
- No
Feedback (0 to 90%): To be valid, CGM data should cover a period of at least 14 days, and the sensor should have been active at least 70% of the time.
Feedback (91 to 100%): Correct
[Image: Chart1]

Q2

Q: What does this data show? Select all that apply
- Significant hypoglycaemia
- Significant hyperglycaemia
- Significant variability
- All of the above (correct)
Feedback (0 to 90%): You might find it helpful to revisit the Time in Range targets from Module 3.
Feedback (91 to 100%): Correct
[Image: Chart1]

Q3

Q: Does this profile resemble one of the additional patterns of control? Select all that apply
- “Air under the clouds” (consistently raised)
- “Billowing and ballooning” (variations in variability throughout the day)
- “Rollercoaster” (oscillating between high and low glucose)
- No (correct)
Feedback (0 to 90%): Look again at the descriptions of each pattern.
Feedback (91 to 100%): Correct
[Image: Chart1]

Q4

Q: What are the significant features of this AGP?
- Narrow IQR, narrow IDR
- Wide IQR, narrow IDR
- Narrow IQR, wide IDR
- Wide IQR, wide IDR (correct)
Feedback (0 to 90%): Remember that the IQR is the inner band and represents day-to-day variability, while the IDR is the outer band and represents occasional variability.
Feedback (91 to 100%): Correct
[Image: Chart1]

Q5

Q: What are the most likely causes of this type of pattern?
- Treatment-related
- Lifestyle, social and behavioural-related
- Both (correct)
Feedback (0 to 90%): Day-to-day variability is likely to be treatment-related, whereas occasional variability is often due to social or behavioural factors.
Feedback (91 to 100%): Correct
[Image: Chart1]

Q6

Q: Understanding that this is both a lifestyle and treatment-related issue, what is the priority now?
- Significant hypoglycaemia in the early hours (correct)
- Significant hyperglycaemia pre-breakfast
- Sudden dropping of glucose levels post-breakfast
- Hypoglycaemia around evening meal
Feedback (0 to 90%): You may wish to revisit Module 3 to refresh your understanding of the approach to addressing issues seen on CGM data.
Feedback (91 to 100%): Correct

Q7

Q: Can we verify this data?
- Yes (correct)
- No
Feedback (0 to 90%): To be valid, CGM data should cover a period of at least 14 days, and the sensor should have been active at least 70% of the time.
Feedback (91 to 100%): Correct
[Image: Graph1]

Q8

Q: What does this data show? Select all that apply
- Significant hypoglycaemia
- Significant hyperglycaemia (correct)
- Significant variability
- All of the above
Feedback (0 to 90%): You might find it helpful to revisit the Time in Range targets from Module 3.
Feedback (91 to 100%): Correct
[Image: Chart1]

Q9

Q: Does this profile resemble any of the additional patterns of control? Select all that apply
- “Air under the clouds” (consistently raised)
- “Billowing and ballooning” (variations in variability throughout the day) (correct)
- “Rollercoaster” (oscillating between high and low glucose)
- Other
Feedback (0 to 90%): Look again at the descriptions of each pattern.
Feedback (91 to 100%): Correct
[Image: Chart1]

Q10

Q: What are the significant features of this AGP?
- Narrow IQR, narrow IDR
- Wide IQR, narrow IDR
- Narrow IQR, wide IDR (correct)
- Wide IQR, wide IDR
Feedback (0 to 90%): Remember that the IQR is the inner band and represents day-to-day variability, while the IDR is the outer band and represents occasional variability.
Feedback (91 to 100%): Correct
[Image: Chart1]

Q11

Q: What are the most likely causes of this type of pattern?
- Treatment-related
- Lifestyle, social and behavioural-related (correct)
- Both
Feedback (0 to 90%): Day-to-day variability is likely to be treatment-related, whereas occasional variability is often due to social or behavioural factors.
Feedback (91 to 100%): Correct
[Image: Chart1]

Q12

Q: Can we verify this data?
- Yes (correct)
- No
Feedback (0 to 90%): To be valid, CGM data should cover a period of at least 14 days, and the sensor should have been active at least 70% of the time.
Feedback (91 to 100%): Correct
[Image: Chart1]

Q13

Q: What does this data show? Select all that apply
- Significant hypoglycaemia
- Significant hyperglycaemia (correct)
- Significant variability (correct)
- All of the above
Feedback (0 to 90%): You might find it helpful to revisit the Time in Range targets from Module 3.
Feedback (91 to 100%): Correct
[Image: Chart1]

Q14

Q: Which pattern(s) best represent this data? Select all that apply
- “Air under the clouds” (consistently raised)
- “Billowing and ballooning” (variations in variability throughout the day) (correct)
- “Rollercoaster” (oscillating between high and low glucose) (correct)
- Other
Feedback (0 to 90%): Look again at the descriptions of each pattern.
Feedback (91 to 100%): Correct
[Image: Chart1]

Q15

Q: What are the most likely causes of this type of pattern?
- Treatment-related
- Lifestyle, social and behavioural-related
- Both (correct)
Feedback (0 to 90%): Day-to-day variability is likely to be treatment-related, whereas occasional variability is often due to social or behavioural factors.
Feedback (91 to 100%): Correct
[Image: Chart1]

Choose the correct statement.