Case:
Improving ADHD treatment strategies with real-world data

ADHD is a lifelong condition that requires medical treatment. Specialists initiating treatment must clearly understand the patient population to ensure adequate care. Insights from this data are also valuable for practitioners, policymakers, and others in tailoring future treatment strategies.

Medice Nordic came to us seeking actionable insights into ADHD treatment, and together, we leveraged real-world data to uncover key trends and opportunities.

These were the key steps to address the client’s challenges:

• Medice sought insights into ADHD treatment trends over a decade.
• We analyzed real-world data to map patient demographics and treatment patterns.
• Identified gaps in adherence to guidelines and opportunities for optimization.
• Delivered actionable insights to improve treatment strategies and patient outcomes.
• Showed how real-world data can drive better resource utilization and care.

The Challenge

Understanding treatment patterns in chronic conditions like ADHD is crucial for developing effective strategies that meet the needs of diverse patient populations. Real-world evidence (RWE) is particularly valuable for such analyses, as it offers a comprehensive view of how treatments are used and their outcomes in everyday clinical settings.

For Medice Nordic, gaining a clear understanding of ADHD treatment trends from 2007 to 2018 was essential. They needed insights into patient demographics, adherence to guidelines, and evolving treatment patterns to inform resource allocation and support decision-making.

The Solution

We based our analysis on data from the Danish National Prescription Registry (DNPR), covering prescriptions from 2007 to 2018. The registry provided a robust dataset, allowing us to explore trends in ADHD treatment and patient demographics over time.

Our focus was on key socio-demographic variables, such as age and gender, which are critical in understanding the characteristics of the patient population. We analyzed these variables and identified how ADHD treatment patterns vary across different demographic groups. For instance, the data revealed disparities in how treatment is prescribed and utilized by age and gender, offering a clearer picture of the populations most impacted.

The findings were designed to support decision-making at multiple levels. Authorities and policymakers gained a clearer understanding of resource allocation needs, while prescribers benefited from insights into how their practices align with treatment guidelines. The analysis also offered a foundation for evaluating the long-term impact of medical treatment on ADHD outcomes, supporting the development of more targeted and effective strategies.