# Healthcare utilization and chronic condition clusters in multimorbidity patients using weighted k-means: a register-based study in Denmark

## TL;DR

This study uses a weighted k-means method to identify clusters of multimorbidity patients in Denmark based on chronic conditions and healthcare utilization, aiming to improve care strategies.

## Contribution

The study introduces a novel weighted k-means approach to cluster multimorbidity patients by chronic conditions and healthcare use patterns.

## Key findings

- Four distinct clusters of multimorbidity patients were identified with varying healthcare utilization and chronic condition profiles.
- Cluster 1 showed the highest healthcare use and combined somatic and mental conditions with low social status.
- Tailored strategies are needed for clusters with mental conditions and low social status to improve care and resource management.

## Abstract

The growing burden of multimorbidity challenges the healthcare system due to increased healthcare utilization and uncoordinated care. Identifying patients with multimorbidity who have high healthcare utilization is essential to improve management and reduce pressure on the healthcare system.

This study aims to identify and characterize clusters of patients with multimorbidity based on both their chronic conditions and healthcare utilization patterns.

A weighted K-means method was applied to a population of 1,184,334 individuals with two or more out of 33 chronic conditions, defined using diagnostic algorithms based on ICD-10 and ATC codes. Sociodemographic variables were applied to describe the identified clusters.

Four clusters were identified based on chronic conditions and healthcare utilization. Cluster 1 had the highest healthcare utilization and a high burden of both somatic and mental conditions, combined with low social status. Cluster 2, consisting primarily of younger women with mental conditions, showed high use of psychological services, and few somatic conditions. The largest cluster, cluster 3, had low healthcare utilization and consisted of individuals with common, manageable conditions, and relatively high social status. Cluster 4 was defined by older individuals with complex somatic conditions requiring frequent contact with general practitioners and specialists.

The identified clusters showed varying chronic condition patterns and levels of healthcare utilization. The findings underscore the importance of tailored strategies, particularly for multimorbidity patients with mental conditions taking social status into account, in order to improve care and manage resource use more effectively.