Data-Driven Commissioning to Reduce Type 2 Diabetes Related Health Disparities in The Netherlands: Using Key...

Area of Science:

• Healthcare Management
• Health Disparities Research
• Health Informatics

Background:

• Health disparities in type 2 diabetes contribute significantly to healthcare utilization.
• Dutch private, not-for-profit health insurers aim to improve care accessibility.
• The study investigates insurers' use of claims data in commissioning to mitigate these disparities.

Purpose of the Study:

• To identify factors influencing the reduction of health disparities through data-driven commissioning.
• To understand the role of data capabilities and decision context in this process.

Main Methods:

• Key informant group interviews were conducted.
• Data analysis employed a hybrid deductive-inductive approach using the 6SQIuD framework.
• Results were validated through saturation, member, and expert checks.

Main Results:

• 79 factors were identified: 3 related to data capabilities and 76 to decision context.
• Fifteen main factors emerged across socio-cultural, system, organizational, and interpersonal levels.
• Decision context factors centered on equality, quality, and organizational sustainability.

Conclusions:

• Commissioners' ability to reduce disparities is influenced by decision context, not primarily data capabilities.
• Paradoxes identified include equal access leading to unequal outcomes and evidence-based interventions limiting disparity reduction.
• Further policy analysis is needed to understand systemic and organizational conditions supporting disparity reduction efforts.