Total Score Calculation
The total score for each patient is determined by summing the points assigned to the type of medication, time of consumption, and dosage. This cumulative score is referred to as the "Analgesic Consumption Score."
Stratified Randomization
Patients are classified into different groups based on their analgesic consumption score before randomization:
- Group 1: Low score (0–3)
- Group 2: Moderate score (4–6)
- Group 3: High score (7–10)
Patients are further divided into subgroups based on two main factors:
1. Degree of analgesic consumption (as explained above)
2. Gender (male or female)
Randomization Process
For each possible combination of gender and analgesic consumption level, an envelope containing three sheets labeled with treatment groups A, B, and C is prepared.
Considering both factors (gender and analgesic consumption level), the possible combinations are as follows:
- Female, low analgesic consumption
- Female, moderate analgesic consumption
- Female, high analgesic consumption
- Male, low analgesic consumption
- Male, moderate analgesic consumption
- Male, high analgesic consumption
Thus, the total number of possible combinations is six.
Preparation of Envelopes
For each of the six combinations above, a separate envelope is prepared, each containing three sheets labeled A, B, and C. Consequently, a total of six envelopes must be prepared.
Treatment Group Selection Process
When a patient—e.g., a female with high analgesic consumption—arrives, they receive the envelope corresponding to their combination ("Female, high analgesic consumption") and select one of the sheets inside. If the patient selects Group A, subsequent patients with the same characteristics (female, high analgesic consumption) will only be able to choose between Groups B and C.
This process continues until the number of patients in each treatment group reaches 25.
Final Patient Distribution
Ultimately, patients will be evenly distributed across the three treatment groups, ensuring that each group consists of 25 patients. This approach helps prevent biases related to gender or analgesic consumption levels.