Evidence map›Paper›PMID 40490735›Full record

ArticleBMC health services research2025

Estimating the causal effect of a quality assurance program on quality of care in Germany.

Stefan Gehrig, Britta Zander-Jentsch, Maurilio Gutzeit, Silvia Klein, Johannes Rauh

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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. [Patient safety-development and evaluation].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2026
    Review
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

5 authors.

Stefan GehrigInstitute for Quality Assurance and Transparency in Healthcare (IQTIG), Katharina-Heinroth-Ufer 1, Berlin, 10787, Germany. stefan.gehrig@iqtig.org.ORCID http://orcid.org/0000-0002-5270-9578
Britta Zander-JentschInstitute for Quality Assurance and Transparency in Healthcare (IQTIG), Katharina-Heinroth-Ufer 1, Berlin, 10787, Germany.
Maurilio GutzeitInstitute for Quality Assurance and Transparency in Healthcare (IQTIG), Katharina-Heinroth-Ufer 1, Berlin, 10787, Germany.ORCID http://orcid.org/0000-0001-7546-6938
Silvia KleinInstitute for Quality Assurance and Transparency in Healthcare (IQTIG), Katharina-Heinroth-Ufer 1, Berlin, 10787, Germany.
Johannes RauhInstitute for Quality Assurance and Transparency in Healthcare (IQTIG), Katharina-Heinroth-Ufer 1, Berlin, 10787, Germany.ORCID http://orcid.org/0000-0001-6411-7775

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInpatient safety can benefit from effective policies for hospital quality assurance. Following legal reform to put quality of care more center stage in hospital capacity planning, a new quality assurance program was introduced in Germany in 2017. The program was based on pre-existing quality indicators and included new policy design components emphasizing hospital accountability. Learning if the policy was effective is important, but challenging in the observational setting.

methodsWe adapt a quasi-experimental difference-in-differences approach to estimate the causal effect of the program on quality of care in the 4 years after program onset. A control group of indicators from other clinical areas is carefully selected to compare trends in process quality.

resultsResults show a relevant reduction in risk of adverse care events nationally in the affected patient population relative to a counterfactual scenario of no program adoption. The effect emerged over the first two program years before plateauing.

conclusionThe study allows to learn about important design components in healthcare quality assurance. Among our discussed mechanisms for the documented improvement in process quality are the initial announcements of legal consequences and high public attention. These led hospitals to initiate quality improvement, to seek dialogue with state agencies, and to put more efforts into submitting correct quality data. Methodologically, we show how to adapt rigorous study designs to quality assurance evaluation, considering also their assumptions and limitations.

Indexed as

Quality Assurance, Health CareQuality of Health CareGermanyHumansProgram EvaluationQuality Indicators, Health CareDifference-in-differencesHospital capacity planningPolicy evaluationQuality indicatorsQuality of careQuality policy

Identifiers

PMID40490735
PMCPMC12150581

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.