Diabetic Peripheral Neuropathic Pain (DPNP) Patient Segmentation

The project aimed to segment the DPNP patient population to better understand their perceptions, diagnosis, and treatments of DPNP. This segmentation would provide valuable insights to our client, aiding in their strategy and decision-making process related to DPNP patient care.

The client sought to gain deeper insights and understanding of patient perception, diagnosis, and treatments of DPNP. The ultimate goal was to use this information to create meaningful patient segments, which could inform targeted strategies for patient engagement and treatment.

The project faced several significant challenges, including tight timelines that required swift action and efficient processes. The DPNP patients constituted a specific and somewhat rare patient group, making recruitment slight more challenging. There had been past difficulties in achieving the necessary number of participants for studies in this therapeutic area, further complicating recruitment efforts with many quotas being untargetable. Due to these recruitment challenges, the client onboarded their own partner, to obtain the majority of the completes, adding complexity to the coordination efforts. Additionally, the client had several removals, affecting the final sample size.

To overcome these challenges and ensure timely and budget-compliant delivery, M3 Global Research implemented several strategies. We maximised sample utilisation by sending all available samples to potential respondents, ensuring broad outreach. Follow-up reminders were sent to encourage participation and increase response rates. We onboarded all possible partners who could assist with recruitment, ensuring a collaborative effort to meet the quotas.

Compliance with all regulatory and ethical standards was strictly adhered to, and comprehensive, timely reporting kept the client informed of progress and any issues encountered. Local knowledge and requirements were leveraged to optimise recruitment strategies and strategic sampling techniques were employed to reach the diverse and specific patient population required.

Despite the challenging recruitment, efforts were made to expedite the process to meet the tight timelines, and the time in field was managed efficiently to ensure deadlines were met. Additionally, we exceeded expectations by over-delivering the sample size, ensuring robust data for segmentation.