SQL Explanation

Query: Adherence Rate by Comorbidity Status

What it does:
This query compares adherence rates between patients with comorbidities and those without.

SQL Breakdown:

• comorbidity_no_comorbidity AS no_comorbidity: Renames the boolean field to make the output easier to read.
  
  

• COUNT(*) AS patients: Counts the number of patients in each group.
  
  

• COUNT(*) FILTER (WHERE adherence = 'ADHERENT') * 1.0 / COUNT(*) AS adherence_rate: Calculates adherence rate for each group.
  
  

• GROUP BY comorbidity_no_comorbidity: Groups patients by whether or not they have a comorbidity.
  
  

Output Summary:

• Patients with comorbidities (t): 17,108 patients — 35.88% adherence rate
  
  

• Patients without comorbidities (f): 6,976 patients — 50.61% adherence rate
  
  

Why this matters:
This shows a notable difference — patients without comorbidities are more likely to adhere to their medication. This could imply that those with multiple health burdens may struggle more with medication management, potentially due to complex regimens, side effects, or competing priorities.

Note: This dataset is synthetic and used strictly for educational purposes. It does not reflect real patient data.