SQL Explanation

Query: Adherence Rate by Gender

What it does:
This query compares medication adherence rates between males and females in your dataset.

SQL Breakdown:

• CASE WHEN gender_m THEN 'Male' ELSE 'Female' END AS gender: Interprets a boolean gender_m column (where TRUE = Male, FALSE = Female).
  
  

• COUNT(*) AS patients: Counts total patients in each gender group.
  
  

• COUNT(*) FILTER (WHERE adherence = 'ADHERENT') AS adherent: Counts adherent patients within each group.
  
  

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

• GROUP BY gender_m: Groups the results by gender.
  
  

Output Summary:

• Female Patients: 11,013 total / 4,600 adherent → ~41.77% adherence
  
  

• Male Patients: 13,071 total / 5,069 adherent → ~38.78% adherence
  
  

Why this matters:
This analysis reveals a small but meaningful difference: female patients show slightly higher adherence to their medication regimens than males. These insights could inform gender-targeted interventions or education strategies.

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