Monitoring Equity Beyond Averages: An Academic–Governance Reform in a Decentralized Health System

Issue/problem

Equity is a core principle of publicly funded healthcare. However, systematic monitoring is hindered by fragmented data ownership and legal constraints (GDPR) in decentralized systems. Evaluation requires institutional solutions for legally compliant data integration and analytical frameworks capable of interpreting individual heterogeneity.

Description of the policy

Inspired by previous Swedish initiatives, a strategic academic–governance partnership (2022–2024) between Region Skåne and Lund University was established to design a sustainable monitoring model. We addressed three questions: 1) How can legally compliant data linkage be achieved? 2) Can this model eliminate monitoring “blind spots” involving private providers? 3) How can governance reports move beyond averages?

Results

The model’s operational feasibility was demonstrated. By transferring analysis to a research environment, regional clinical data was successfully linked with national socioeconomic registers, including data from private providers. Analytically, applying Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA) enabled us to examine how individual inequalities were structurally shaped.

Lessons

Equity is not only a goal but a governable dimension of system performance. Effective healthcare monitoring requires institutional redesign, separating governance oversight from analytical execution, to navigate data protection frameworks. This model enables population-based evaluation reflecting complex social contexts and is transferable to other decentralized healthcare systems.

Key messages

• Academic–governance collaborations can overcome legal and structural barriers to systematic healthcare equity monitoring in decentralized mixed-provider healthcare systems.

• Moving beyond average-based indicators to analyze individual heterogeneity is essential for evidence-informed equity policy.