Medical Trial Dataset

Medical Trial Dataset

Datasets

Medical Trial Dataset

File

Medical Trial Dataset

Use Case

Medical Trial Dataset

Description

Explore an in-depth analysis of a medical trial comparing Medication A to Medication B. Our dataset includes patient usage, switching trends, dosage patterns, cost analysis.

Description:

XYZ Healthcare is currently evaluating a switch from Medication A to Medication B for its patients. Medication B offers a different dosage regimen and administration frequency, and a clinical trial was conducted with 130 patients to assess its efficacy. Data includes patient administration records for both medications, spanning from two months before the switch to three months after.

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Key Observations:

  • Patients can only be on one medication at a time.
  • Medication B is administered once a month, whereas Medication A has a higher frequency of administration.
  • Dosage units differ between medications and are not convertible.
  • A month is defined as 4.33 weeks to maintain consistency in analysis.

Metadata:

Administration Data:

  • ID: Patient identification number
  • Medication Type: A or B
  • Administration Date: Date when each medication was administered
  • Dosage Units: Amount administered

Lab Data:

  • ID: Patient ID for lab results
  • Draw Date: Date when lab tests were conducted
  • Lab Result Code: Unique codes for different lab tests
  • Lab Value: Results of lab tests in numerical form

Business Goals:

XYZ Healthcare seeks to understand the impact of switching medications by analyzing usage patterns, costs, and lab results. The focus is on determining if Medication B is a cost-effective and beneficial alternative for its patient base.

Key Questions for Analysis:

  1. Monthly Medication Usage: What is the overall usage pattern of both medications on a monthly basis across all patients?
  2. Patient Distribution: How many patients received Medication A vs. Medication B over the study period (July-November)?
  3. Average Monthly Dose per Patient: What was the average monthly dose for each patient on both medications?
  4. Switching Trends:
    • How many patients switched to Medication B in each month?
    • How many patients started on Medication B without prior administration of Medication A?
  5. Time on Medication A Before Switching: On average, how long did patients stay on Medication A before switching to B?
  6. Pre- and Post-Switch Dose Comparison:
    • What were the average doses of Medication A before switching and of Medication B after the switch?
  7. Breakeven Analysis:
    • Assuming Medication A costs $1 per 100 units, what is the breakeven price for Medication B based on its dosing and usage?
  8. Dose Adjustment Over Time: How did the average dose change for patients switched to Medication B, based on the month of the switch (September, October, November)?
  9. Second Dose Analysis: What percentage of patients had a higher, lower, or same dosage during their second month on Medication B compared to the first month?
  10. Lab Results: Compare the average lab values for patients on Medication A versus those on Medication B to assess any significant differences in health outcomes.

By expanding the dataset with these key insights and metrics, the XYZ team can make a more informed decision regarding the transition from Medication A to Medication B.

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