Selecting indicators for the measurement of low-value care using German claims data: A three-round modified Delphi panel.

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Title: Selecting indicators for the measurement of low-value care using German claims data: A three-round modified Delphi panel.
Authors: Pioch C; Department of Health Care Management, Technical University of Berlin, Berlin, Germany., Neubert A; Department of Orthopaedics and Traumatology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany., Dammertz L; Department of Epidemiology and Health Care Atlas, Central Research Institute for Ambulatory Health Care in Germany, Berlin, Germany., Ermann H; Department of Health Care Management, Technical University of Berlin, Berlin, Germany., Hildebrandt M; Department of Health Care Management, Technical University of Berlin, Berlin, Germany., Ihle P; PMV Research Group at the Department of Psychiatry and Psychotherapy for Children and Young Adults, University Hospital Cologne, Cologne, Germany., Nothacker M; Institute for Medical Knowledge Management, Association of the Scientific Medical Societies in Germany, Berlin, Germany., Schneider U; Techniker Krankenkasse, Hamburg, Germany., Swart E; Institute of Social Medicine and Health Systems Research, Otto von Guericke University Magdeburg, Magdeburg, Germany., Busse R; Department of Health Care Management, Technical University of Berlin, Berlin, Germany., Vogt V; Department of Health Care Management, Technical University of Berlin, Berlin, Germany.; Institute of General Practice and Family Medicine, Jena University Hospital, Jena, Germany.
Source: PloS one [PLoS One] 2025 Feb 18; Vol. 20 (2), pp. e0314864. Date of Electronic Publication: 2025 Feb 18 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1932-6203
DOI:10.1371/journal.pone.0314864