The PopGrouper as a tool for morbidity adjustment in regional comparisons of health care: an analytical framework
Abstract Background Analyzing regional variations can help improve equity, efficiency, and quality in health care provision. The PopGrouper is a population-based classification system which classifies persons with similar health care needs into distinct groups. It exhibits a high degree of morbidity...
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| Format: | Article |
| Language: | English |
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Springer
2025-08-01
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| Series: | Research in Health Services & Regions |
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| Online Access: | https://doi.org/10.1007/s43999-025-00068-y |
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| author | Anika Kreutzberg Chrissa Tsatsaronis Thomas G. Grobe Wilm Quentin Reinhard Busse On behalf of the PopGroup consortium |
| author_facet | Anika Kreutzberg Chrissa Tsatsaronis Thomas G. Grobe Wilm Quentin Reinhard Busse On behalf of the PopGroup consortium |
| author_sort | Anika Kreutzberg |
| collection | DOAJ |
| description | Abstract Background Analyzing regional variations can help improve equity, efficiency, and quality in health care provision. The PopGrouper is a population-based classification system which classifies persons with similar health care needs into distinct groups. It exhibits a high degree of morbidity differentiation. We present an analytical framework to use the PopGrouper in examining regional variations across different outcomes and populations using routine patient-level data. Methods We develop a two-step empirical strategy to examine the relative regional performance on a set of efficiency and quality outcomes (e.g., hospital bed days, cost of care, mortality). First, we propose PopGroup-standardized observed-to-expected ratios to compare regional performance. Second, we develop a multilevel regression model to separately estimate regional variation related to patient need measured by the PopGroup and variation related to regional characteristics. Results We provide an analytical framework that demonstrates the PopGrouper’s application as a tool for morbidity adjustment in the assessment of relative regional performance in efficiency and quality outcomes and the regional characteristics that explain this performance. We provide suggestions for empirical notation, interpretation of results, and graphical analyses of findings. The developed framework will be applied in subsequent empirical papers. Conclusion This paper sets the analytical foundations to be applied in regional comparative analyses using the PopGrouper allowing for conclusions about unexplained variations in quality and efficiency of health care. |
| format | Article |
| id | doaj-art-3abe2ac1dcd041168356798ab83687f0 |
| institution | Kabale University |
| issn | 2730-9827 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Springer |
| record_format | Article |
| series | Research in Health Services & Regions |
| spelling | doaj-art-3abe2ac1dcd041168356798ab83687f02025-08-20T03:45:45ZengSpringerResearch in Health Services & Regions2730-98272025-08-014111310.1007/s43999-025-00068-yThe PopGrouper as a tool for morbidity adjustment in regional comparisons of health care: an analytical frameworkAnika Kreutzberg0Chrissa Tsatsaronis1Thomas G. Grobe2Wilm Quentin3Reinhard Busse4On behalf of the PopGroup consortiumDepartment of Health Care Management, Technische Universität BerlinDepartment of Health Care Management, Technische Universität BerlinAbteilung Gesundheitsberichterstattung und Biometrie, Institut für angewandte Qualitätsförderung und Forschung im Gesundheitswesen GmbHDepartment for Planetary and Public Health, Universität BayreuthDepartment of Health Care Management, Technische Universität BerlinAbstract Background Analyzing regional variations can help improve equity, efficiency, and quality in health care provision. The PopGrouper is a population-based classification system which classifies persons with similar health care needs into distinct groups. It exhibits a high degree of morbidity differentiation. We present an analytical framework to use the PopGrouper in examining regional variations across different outcomes and populations using routine patient-level data. Methods We develop a two-step empirical strategy to examine the relative regional performance on a set of efficiency and quality outcomes (e.g., hospital bed days, cost of care, mortality). First, we propose PopGroup-standardized observed-to-expected ratios to compare regional performance. Second, we develop a multilevel regression model to separately estimate regional variation related to patient need measured by the PopGroup and variation related to regional characteristics. Results We provide an analytical framework that demonstrates the PopGrouper’s application as a tool for morbidity adjustment in the assessment of relative regional performance in efficiency and quality outcomes and the regional characteristics that explain this performance. We provide suggestions for empirical notation, interpretation of results, and graphical analyses of findings. The developed framework will be applied in subsequent empirical papers. Conclusion This paper sets the analytical foundations to be applied in regional comparative analyses using the PopGrouper allowing for conclusions about unexplained variations in quality and efficiency of health care.https://doi.org/10.1007/s43999-025-00068-yPopulation classificationRegional analysisRisk adjustmentClaims dataGermany |
| spellingShingle | Anika Kreutzberg Chrissa Tsatsaronis Thomas G. Grobe Wilm Quentin Reinhard Busse On behalf of the PopGroup consortium The PopGrouper as a tool for morbidity adjustment in regional comparisons of health care: an analytical framework Research in Health Services & Regions Population classification Regional analysis Risk adjustment Claims data Germany |
| title | The PopGrouper as a tool for morbidity adjustment in regional comparisons of health care: an analytical framework |
| title_full | The PopGrouper as a tool for morbidity adjustment in regional comparisons of health care: an analytical framework |
| title_fullStr | The PopGrouper as a tool for morbidity adjustment in regional comparisons of health care: an analytical framework |
| title_full_unstemmed | The PopGrouper as a tool for morbidity adjustment in regional comparisons of health care: an analytical framework |
| title_short | The PopGrouper as a tool for morbidity adjustment in regional comparisons of health care: an analytical framework |
| title_sort | popgrouper as a tool for morbidity adjustment in regional comparisons of health care an analytical framework |
| topic | Population classification Regional analysis Risk adjustment Claims data Germany |
| url | https://doi.org/10.1007/s43999-025-00068-y |
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