# The DMP atlas for North Rhine-Westphalia, Germany: results of the disease management programmes on district level

**Authors:** Sabine Groos, Jens Kretschmann, Arne Weber, Michaela Assheuer, Bernd Hagen

PMC · DOI: 10.1007/s43999-026-00088-2 · Research in Health Services & Regions · 2026-02-24

## TL;DR

This paper introduces a web-based atlas showing health outcomes for chronic diseases in North Rhine-Westphalia, Germany, using data from 1.8 million patients.

## Contribution

The novel contribution is a detailed district-level DMP atlas to evaluate and improve chronic disease management in Germany.

## Key findings

- The atlas includes quality indicators for diseases like diabetes, asthma, and breast cancer at district level.
- It allows stratification of outcomes by age, sex, and care type to identify vulnerable patient subgroups.
- The atlas provides insights into comorbidity, health parameters, and medication across regions.

## Abstract

Disease Management Programmes (DMP) in Germany were initiated to enhance the quality of ambulatory health care for specific chronic diseases. They aim to prevent the progression of the disease and comorbidity as well as to improve quality of life. It is the purpose of this paper to describe the contents of the web-based DMP atlas for North Rhine-Westphalia. The atlas provides a comprehensive overview of the regional DMP results, including outcomes at district level. In 2024, these analyses encompassed data of approximately 1.8 million patients. Quality of care is displayed by quality indicators for type 2 and type 1 diabetes, coronary heart disease, bronchial asthma, chronic obstructive pulmonary disease, breast cancer and osteoporosis. Outcomes are displayed at district level and can be stratified by age, sex, GPs’ or specialists’ care within the DMPs, the documentation of selected comorbid conditions and DMP participation period. Furthermore, information on comorbidity, health parameters, risk factors and medication are displayed. Again, these can be stratified by age and sex. The DMP atlas allows to identify areas with lower quality of care and subgroups of particularly vulnerable patients. Consequently, it can be seen as a contribution to the further development and specification of DMPs and ambulatory health care in Germany.

## Linked entities

- **Diseases:** type 2 diabetes (MONDO:0005148), type 1 diabetes (MONDO:0005147), coronary heart disease (MONDO:0005010), chronic obstructive pulmonary disease (MONDO:0005002), breast cancer (MONDO:0004989), osteoporosis (MONDO:0005298)

## Full-text entities

- **Diseases:** respiratory diseases (MESH:D012140), CHD (MESH:D003327), Comorbidity (MESH:D004194), bronchial asthma (MESH:D001249), Diabetes (MESH:D003920), COPD (MESH:D029424), peripheral arterial occlusive disease (MESH:C564658), hypertension (MESH:D006973), arterial hypertension (MESH:D000081029), osteoporosis (MESH:D010024), T1D (MESH:D003922), T2D (MESH:D003924), breast cancer (MESH:D001943), adiposity (MESH:D018205), chronic diseases (MESH:D002908)
- **Chemicals:** DMP (-)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12932741/full.md

## References

21 references — full list in the complete paper: https://tomesphere.com/paper/PMC12932741/full.md

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Source: https://tomesphere.com/paper/PMC12932741