Evidence map›Paper›PMID 42572168›Full record

ArticleInternational journal for quality in health care : journal of the International Society for Quality in Health Care2026

Advancing learning health care systems with best practice meetings: a mixed-methods study with insights from the Dutch Institute for Clinical Auditing.

Felix Hers, Lisanne E van Rangelrooij, Janne van den Hurk, Lars van de Sanden, Willemien J van Driel, Grard A P Nieuwenhuijzen, Barend M E Mees, Mira S Staphorst, Mark M J Nielen, Michel W J M Wouters

Abstract read
In one paragraph

Article in International journal for quality in health care : journal of the International Society for Quality in Health Care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Felix HersScientific bureau, Dutch Institute for Clinical Auditing, Leiden, the Netherlands.ORCID 0009-0004-0524-3826
Lisanne E van RangelrooijScientific bureau, Dutch Institute for Clinical Auditing, Leiden, the Netherlands.
Janne van den HurkScientific bureau, Dutch Institute for Clinical Auditing, Leiden, the Netherlands.
Lars van de SandenScientific bureau, Dutch Institute for Clinical Auditing, Leiden, the Netherlands.ORCID 0009-0002-5027-7887
Willemien J van DrielDepartment of Gynaecology, Centre for Gynecological Oncology Amsterdam, The Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands.
Grard A P NieuwenhuijzenDepartment of Surgery, Catharina Hospital, Eindhoven, the Netherlands.ORCID 0000-0002-5837-5513
Barend M E MeesDepartment of Vascular Surgery, Maastricht University Medical Center, Maastricht, the Netherlands.
Mira S StaphorstScientific bureau, Dutch Institute for Clinical Auditing, Leiden, the Netherlands.
Mark M J NielenScientific bureau, Dutch Institute for Clinical Auditing, Leiden, the Netherlands.
Michel W J M WoutersScientific bureau, Dutch Institute for Clinical Auditing, Leiden, the Netherlands.

Funding

Dutch Organization for knowledge and innovation in health 08590092410005
6 · The paper itself

Abstract

backgroundNational clinical registries are widely used to benchmark quality indicators and improve care. Advancing registry-based auditing toward learning health care systems (LHCS) requires structural integration of continuous evaluation and improvement cycles. One way to operationalize the check phase of the Plan-Do-Check-Act cycle is through best practice meetings (BPMs), in which health care professionals transparently discuss inter-hospital variation in clinical outcomes and formulate targeted improvement actions. Since 2018, the Dutch Institute for Clinical Auditing (DICA) has organized BPMs across multiple registries. This study provides the first descriptive overview of the structure, participant experiences, and facilitators and barriers to the organization and conduct of BPMs.

methodsA descriptive mixed-methods study was conducted. Data on session characteristics (e.g. number, topics, format) and follow-up actions were obtained through a survey among coordinators of DICA registries. Participant satisfaction scores from evaluations of BPMs held between 2018 and 2025 were retrospectively extracted, where available. Semi-structured interviews were held with four registry coordinators and one project manager. Interviews were thematically analysed to identify facilitators and barriers to the organization and conduct of BPMs.

resultsIn total, 55 BPMs were held across 14 registries. Most were national and multidisciplinary. Frequently discussed topics included length of stay, treatment waiting times, Textbook Outcome, and mortality. Best practices and/or quality improvement actions were formulated for 22 of 55 BPMs (40%). The mean participant satisfaction score was 4.0 on a 5.0-point Likert scale. Five themes were identified through thematic analysis of interviews: preparation, setting and format, learning climate, implementation, and cyclical learning. Facilitators included sharing data in advance, skilled moderation, an open and safe atmosphere, and recurring themes; barriers included an online setting that hampered interaction, concerns regarding data quality, and discussion of too many topics during a single meeting.

conclusionBPMs appear to be a feasible and well-accepted instrument to support data-driven quality improvement across hospitals. Implementation of BPMs could support LHCS by operationalizing the learning cycle from benchmarking to shared learning, action planning, and follow-up. Future research should evaluate whether BPMs lead to implementation of improvement actions and measurable changes in clinical outcomes.

Indexed as

BenchmarkingLearning Health SystemQuality ImprovementRegistriesHumansNetherlandsQuality Indicators, Health CareRetrospective Studies

Identifiers

PMID42572168
PMCPMC13524435

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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.