Evidence map›Paper›PMID 39964962›Full record

ArticlePloS one2025

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

Carolina Pioch, Anne Neubert, Lotte Dammertz, Hanna Ermann, Meik Hildebrandt, Peter Ihle, Monika Nothacker, Udo Schneider, Enno Swart, Reinhard Busse and 1 more

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Carolina PiochDepartment of Health Care Management, Technical University of Berlin, Berlin, Germany.ORCID 0009-0005-6495-4828
Anne NeubertDepartment of Orthopaedics and Traumatology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany.ORCID 0000-0002-6323-3747
Lotte DammertzDepartment of Epidemiology and Health Care Atlas, Central Research Institute for Ambulatory Health Care in Germany, Berlin, Germany.ORCID 0000-0002-0663-2514
Hanna ErmannDepartment of Health Care Management, Technical University of Berlin, Berlin, Germany.
Meik HildebrandtDepartment of Health Care Management, Technical University of Berlin, Berlin, Germany.ORCID 0000-0002-4139-6609
Peter IhlePMV Research Group at the Department of Psychiatry and Psychotherapy for Children and Young Adults, University Hospital Cologne, Cologne, Germany.
Monika NothackerInstitute for Medical Knowledge Management, Association of the Scientific Medical Societies in Germany, Berlin, Germany.
Udo SchneiderTechniker Krankenkasse, Hamburg, Germany.
Enno SwartInstitute of Social Medicine and Health Systems Research, Otto von Guericke University Magdeburg, Magdeburg, Germany.
Reinhard BusseDepartment of Health Care Management, Technical University of Berlin, Berlin, Germany.
Verena VogtDepartment of Health Care Management, Technical University of Berlin, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

By reducing healthcare services that offer little benefit or potential harm to patients (low-value care), resources can be redirected towards more adequate treatments, improving healthcare efficiency and patient outcomes. This study aimed to systematically incorporate clinical expertise across medical disciplines through a Delphi process to establish indicators for measuring low-value care, ensuring their acceptance by medical societies, the broader medical community, and patients. We developed two versions (one with higher sensitivity and one with higher specificity) for almost each of the 42 indicators identified as potentially measurable in a previous systematic review. We conducted a three-round modified Delphi panel based on the RAND/UCLA appropriateness methodology, with 62 experts from 52 Scientific Medical Societies and professional organisations, and patient representatives. In round one, each indicator was rated for its ability to indicate low-value healthcare and its measurability in German claims data. This was followed by an online discussion in round two. The indicators were then modified based on expert feedback and re-assessed in round three. As a result, 24 indicators were deemed appropriate for measuring low-value care, covering areas such as pharmaceuticals, diagnostic tests, screening, and treatment. For example, one indicator identified patients with cancer who received chemotherapy in the last month of life. These indicators will help identify healthcare services that may require policy-level interventions to improve the quality of care. However, most low-value care indicators can only be measured in German claims data if documentation requirements for relevant information are expanded.

Indexed as

Delivery of Health CareQuality Indicators, Health CareDelphi TechniqueGermanyHumans

Identifiers

PMID39964962
PMCPMC11835324

What OpenQuestion holds

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Registered trials

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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.