Study type

Study topic

Human medicinal product

Study type

Non-interventional study

Scope of the study

Assessment of risk minimisation measure implementation or effectiveness

Data collection methods

Primary data collection
Non-interventional study

Non-interventional study design

Cross-sectional
Study drug and medical condition

Name of medicine

Enjaymo

Study drug International non-proprietary name (INN) or common name

SUTIMLIMAB

Anatomical Therapeutic Chemical (ATC) code

(L04AA55) sutimlimab

Medical condition to be studied

Cold agglutinins

Additional medical condition(s)

Cold agglutinin disease
Population studied

Short description of the study population

The current study is planned to be conducted among HCPs in countries in the EEA where the product is expected to be commercially available for at least 6 months.

Age groups

Adult and elderly population (>18 years)
Adults (18 to < 65 years)
Adults (18 to < 46 years)
Adults (46 to < 65 years)
Elderly (≥ 65 years)
Adults (65 to < 75 years)
Adults (75 to < 85 years)
Adults (85 years and over)

Estimated number of subjects

50
Study design details

Study design

This is a multinational, non-interventional, cross sectional survey study to evaluate the effectiveness of the ENJAYMO™ Physician’s Guide among EEA-based HCPs.

Main study objective

To assess HCPs’ knowledge levels of key information included in the ENJAYMO™ Physician’s Guide across these 4 domains:
⦁ Indication for cold agglutinin disease (CAD) patients only
⦁ Important potential risks of serious infections including meningococcal infections
⦁ Recommendations for vaccination of patients as per local regulations
⦁ Recommendations for monitoring and counseling patients to promote real-world safe-use conditions

Outcomes

HCPs’ knowledge levels of key information included in the ENJAYMO™ Physician’s Guide

Data analysis plan

Descriptive data analyses will be conducted for all primary and secondary objectives. Descriptive statistics for continuous data will include N, means, and standard deviations. Results for some continuous variables may include ranges (minimums and maximums) and medians as well. Categorical data will be summarized using frequency counts and percentages. Knowledge levels will be calculated with 95% 2-sided CI. Knowledge levels will also be stratified by items with potential to confound the knowledge level (e.g., country, specialty, reads/uses vs. did not read/does not use the ENJAYMO™ Physician’s Guide, prescribing status). Missing data will be reported, but no replacement or imputation will be performed.

Summary results

Not applicable