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Measuring the quality of care (particularly overutilization) using routine data from the statutory health insurance system
Regional studies of health economic analyses
Mathematical methods in health economics
Curriculum Vitae
Professional experience
Since 04/2024: Research Assistant, Institute of General Medicine, Jena University Hospital
Since 11/2022: Research Assistant, Department of Health Care Management, Technical University of Berlin
07/2021 – 10/2022: Student Assistant, Department of Health Care Management, Technical University of Berlin
Education
10/2020 – 10/ 2022: Master of Science in Applied Mathematics (MSc), Technical University of Berlin
10/2017 – 07/2020: Bachelor of Science in Mathematics (BSc), Rheinische Friedrich-Wilhelms-University of Bonn
Publications
Journal Articles
Pioch C, Hildebrandt M, Goetz G, Vogt V. Effectiveness and mechanisms of interventions to reduce low-value thyroid function tests: a systematic review. Syst Rev 15, 111 (2026). https://doi.org/10.1186/s13643-026-03119-8
Pioch C, Neubert A, Dammertz L, Ermann H, Hildebrandt M, Ihle P, Nothacker M, Schneider U, Swart E, Busse R, Vogt V. Selecting indicators for the measurement of low-value care using German claims data: A three-round modified Delphi panel, Published: February 18, 2025. https://doi.org/10.1371/journal.pone.0314864
Hildebrandt M, Pioch C, Dammertz L, Ihle P, Nothacker M, Schneider U, Swart E, Busse R, Vogt V. Quantifying Low-Value Care in Germany: An Observational Study Using Statutory Health Insurance Data From 2018 to 2021, Value in Health, 2024, https://doi.org/10.1016/j.jval.2024.10.3852.
Berger E, Reichebner C, Eriksen A, Hildebrandt M, Kuklinski D, Busse R. Specialized Treatment of Colorectal Cancer in Certified Cancer Centers: Do Patients Really Have to Travel Further? Gesundheitswesen 2023; 85(07): 657-666 Link
Conferences
Identifying Inappropriate Prescriptions in Routine Data from the Statutory Health Insurance System [Unangemessene Arzneimittelverordnungen in GKV-Routinedaten identifizieren], AGENS Methodenworkshop, Köln 2023
Measuring prevalence and trends in low-value care using German claims data – first results of the IndiQ-project, Preventing Overdiagnosis Conference (PODC), Kopenhagen, 2023. Link
Prevalence and Trends in Inappropriate Care in Routine Statutory Health Insurance Data—Findings from the IndiQ Project [Prävalenz und Trends unangemessener Versorgungsleistungen in GKV-Routinedaten – Ergebnisse aus dem IndiQ-Projekt], DKVF, Berlin 2023. Link
Measuring Inappropriate Care Using Routine Data from Statutory Health Insurance—Results of the “IndiQ” Research Project [Unangemessene Versorgung mithilfe von GKV-Routinedaten messen - Ergebnisse des Forschungsprojekts „IndiQ“], DGGÖ, Halle 2024
Indicators for Measuring Overutilization—The Potential of Routine Data from the Statutory Health Insurance System for Evidence-Based Health Policy [Indikatoren zur Messung von Überversorgung - Potenzial der GKV-Routinedaten für eine evidenzbasierte Gesundheitspolitik], EbM-Kongress, Berlin 2024. Link
Inappropriate Healthcare Services in Statutory Health Insurance Routine Data: Index Development for Regional Benchmarking [Unangemessene Versorgungsleistungen in GKV-Routinedaten: Indexbildung für ein regionales Benchmarking], AGENS Methodenworkshop, Hannover 2024