Evidence map›Paper›PMID 41405744›Full record

ArticleResearch in health services & regions2025

Regional variation in ambulatory care-sensitive hospitalizations for people with type 2 diabetes in Germany: insights from a claims data analysis using the PopGrouper.

Chrissa Tsatsaronis, Anika Kreutzberg, Maria Klemt, Karen Kinder, Reinhard Busse, Wilm Quentin, PopGroup consortium

Abstract read
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Article in Research in health services & regions, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Chrissa TsatsaronisDepartment of Health Care Management, Technische Universität Berlin, Berlin, Germany. c.tsatsaronis@tu-berlin.de.ORCID http://orcid.org/0009-0006-6537-075X
Anika KreutzbergDepartment of Health Care Management, Technische Universität Berlin, Berlin, Germany.ORCID http://orcid.org/0000-0001-9279-6509
Maria KlemtDepartment of Health Care Management, Technische Universität Berlin, Berlin, Germany.
Karen KinderDepartment of Health Care Management, Technische Universität Berlin, Berlin, Germany.ORCID http://orcid.org/0000-0002-9363-2765
Reinhard BusseDepartment of Health Care Management, Technische Universität Berlin, Berlin, Germany.ORCID http://orcid.org/0000-0003-4961-9130
Wilm QuentinDepartment for Planetary and Public Health, Universität Bayreuth, Bayreuth, Germany.ORCID http://orcid.org/0000-0002-1705-6524
PopGroup consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetes-related hospitalizations and amputations serve as indicators of healthcare system performance, revealing regional disparities in diabetes management. This study examines regional variations in diabetes-related and all-cause outcomes among people with type 2 diabetes across Germany, adjusting for morbidity using the novel PopGrouper classification system. The paper aims to test the applicability of the PopGrouper for analyses of regional variations in health care.

methodsBased on claims data from the BARMER sickness fund, six outcomes (hospitalizations, emergency hospitalizations, amputations, hospital care costs, inpatient days, and mortality) were analyzed. For each outcome, the ratio of observed to expected outcomes was calculated based on each region’s PopGroup composition and compared to results based on age-sex composition. Finally, the analysis identified top- and bottom-performing regions based on PopGroup-adjusted performance and explored patterns of resource utilization in these regions.

resultsThe findings reveal the greatest regional variation for amputations and emergency hospitalizations, followed by hospitalizations, for both, age-sex-standardized and PopGroup-standardized ratios. The observed variation was slightly lower with PopGroup standardization than with age-sex standardization, except in the case of mortality. The top-performing regions had lower inpatient resource utilization, but higher outpatient resource utilization and participation in disease management programs in the year prior to the performance outcome measurement.

conclusionRegional variations in hospitalizations and related outcomes for type 2 diabetes were observed. The PopGrouper enables straightforward risk-adjustment through indirect standardization and can make a significant contribution to controlling for morbidity-related care needs in regional comparative analyses.

Indexed as

Ambulatory care sensitive conditionDiabetesGermanyPopulation classificationRegional variationRisk adjustment

Identifiers

PMID41405744
PMCPMC12711608

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.