PROSPeCD – Pilot Research On a Scalable Population Health management Connected Dashboard

Liesbet Peeters, Laura Christiaens, Laura Goetschalckx, Stefan Morreel, Anouk Geenen, Joeri Verbiest, Mare Claeys, Bert Vaes, Marie Van De Putte

Keywords: Population Health Management, dashboard, health data, quintuple aim

Introduction:

The necessary data for delivering targeted population health management (PHM) interventions in Belgium is insufficient and scattered due to limited, non-interoperable data sources. In scope of the EU Technical Support Instrument ‘EU Resources Hub’, insights on data availability, user needs, and analysis capabilities should be obtained to develop a Belgian PHM dashboard.
We aimed to identify visual, content, and access requirements for a PHM dashboard, determining implementation barriers and facilitators, and visualizing user needs through a mockup dashboard enhancing quintuple health outcomes.

Method:

Five focus groups were conducted in three Belgian living labs, comprising 35 potential dashboard users, including general practitioners or hospital network coordinators, who met predefined knowledge criteria. Insights were gathered using open-ended questions based on theoretical frameworks of successful international examples. These insights, alongside findings obtained through scoping literature research, were incorporated into a mockup dashboard which was developed through an iterative and user-centered approach. Subsequently, the mock-up was discussed in a second round of focus groups. Data from the focus groups were analyzed using the Qualitative Analysis Guide of Leuven (QUAGOL) method.

Results:

Requirements can be classified into: (1) 'General Exploration' allowing for assessing the health and well-being status and risk factors in a region using PHM indicators, (2) ‘Risk Stratification and Selection of Interventions’ enabling matching of resources and interventions to at-risk subpopulations, (3) ‘Research Community’ providing advanced tools for data exploration and collaboration with the research community. The mockup dashboard supports population health managers, including healthcare professionals and policy makers requiring easy access to insights, and expert population health managers like researchers and data analysts requiring advanced data analysis tools.

Conclusions:

This FAIR-compliant PHM mockup dashboard supports exploration, risk stratification, intervention selection, and analyses. Findings provide actionable insights for developing an interoperable, customizable dashboard, enhancing an efficient, equitable healthcare system to achieve the quintuple aim.

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