Evidence map›Paper›PMID 42730411›Full record

ArticleEuropean journal of anaesthesiology and intensive care2026

From data to quality: the story of A-QUA, Switzerland's Anaesthesia QUAlity initiative and database.

Christoph Karl Hofer, Sarah R Haile, Remo Schmutz, Milo Alan Puhan, Michael Thomas Ganter

Abstract read
In one paragraph

Article in European journal of anaesthesiology and intensive 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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0cells of the map it votes in
0citing 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

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

5 authors.

Christoph Karl HoferFrom the Swiss Society of Anaesthesiology and Perioperative Medicine, SSAPM (CKH, MTG), Swiss Patient Safety Foundation in Anaesthesia, SPSA (CKH, MTG), Division of Anaesthesia; Schulthess Klinik Zürich, Switzerland (CKH), Epidemiology, Biostatistics and Prevention Institute; University of Zurich, Switzerland (SRH, RS, MAP), Master Programme in Biostatistics, University of Zurich, Switzerland (RS), Institute of Anaesthesiology and Intensive Care Medicine; Klinik Hirslanden Zürich, Switzerland (MTG).
Sarah R HaileFrom the Swiss Society of Anaesthesiology and Perioperative Medicine, SSAPM (CKH, MTG), Swiss Patient Safety Foundation in Anaesthesia, SPSA (CKH, MTG), Division of Anaesthesia; Schulthess Klinik Zürich, Switzerland (CKH), Epidemiology, Biostatistics and Prevention Institute; University of Zurich, Switzerland (SRH, RS, MAP), Master Programme in Biostatistics, University of Zurich, Switzerland (RS), Institute of Anaesthesiology and Intensive Care Medicine; Klinik Hirslanden Zürich, Switzerland (MTG).
Remo SchmutzFrom the Swiss Society of Anaesthesiology and Perioperative Medicine, SSAPM (CKH, MTG), Swiss Patient Safety Foundation in Anaesthesia, SPSA (CKH, MTG), Division of Anaesthesia; Schulthess Klinik Zürich, Switzerland (CKH), Epidemiology, Biostatistics and Prevention Institute; University of Zurich, Switzerland (SRH, RS, MAP), Master Programme in Biostatistics, University of Zurich, Switzerland (RS), Institute of Anaesthesiology and Intensive Care Medicine; Klinik Hirslanden Zürich, Switzerland (MTG).
Milo Alan PuhanFrom the Swiss Society of Anaesthesiology and Perioperative Medicine, SSAPM (CKH, MTG), Swiss Patient Safety Foundation in Anaesthesia, SPSA (CKH, MTG), Division of Anaesthesia; Schulthess Klinik Zürich, Switzerland (CKH), Epidemiology, Biostatistics and Prevention Institute; University of Zurich, Switzerland (SRH, RS, MAP), Master Programme in Biostatistics, University of Zurich, Switzerland (RS), Institute of Anaesthesiology and Intensive Care Medicine; Klinik Hirslanden Zürich, Switzerland (MTG).
Michael Thomas GanterFrom the Swiss Society of Anaesthesiology and Perioperative Medicine, SSAPM (CKH, MTG), Swiss Patient Safety Foundation in Anaesthesia, SPSA (CKH, MTG), Division of Anaesthesia; Schulthess Klinik Zürich, Switzerland (CKH), Epidemiology, Biostatistics and Prevention Institute; University of Zurich, Switzerland (SRH, RS, MAP), Master Programme in Biostatistics, University of Zurich, Switzerland (RS), Institute of Anaesthesiology and Intensive Care Medicine; Klinik Hirslanden Zürich, Switzerland (MTG).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Swiss Anaesthesia QUAlity (A-QUA) programme, launched by the Swiss Society for Anaesthesiology and Peri-operative Medicine (SSAPM), is a nationwide quality initiative, monitoring anaesthesia processes, events and outcomes.To describe the structure, participation, and data quality of the programme A-QUA, particularly the part 2 registry (case-related anaesthesia data), and illustrate its analytical potential using descriptive statistics and procedure case studies.

designObservational, retrospective analysis of routine data from 2017 to 2024.

settingPublic and private Swiss anaesthesia providers, including all SSAPM-accredited teaching and nonteaching hospitals. PATIENTS: All patients receiving anaesthesia from participating providers.

interventionsNone.

main outcome measuresHospital and clinic participation, case volume, data completeness, results of plausibility checks, patient characteristics, anaesthesia techniques, durations, peri-operative events and postoperative care.

resultsBy the end of 2024, the A-QUA part 2 registry contained 2 045 026 cases from 54 centres in all Swiss language regions (61% German, 35% French, 4% Italian speaking). Most originated from large teaching hospitals (74%), with smaller contributions from small and medium-sized teaching (17%) and nonteaching (8.8%) hospitals. Median age was 56 years; 52% were women; 66% ASA l to ll. General anaesthesia (including combined) accounted for 74% of cases, regional anaesthesia alone for 18%, and monitored anaesthesia care for 8.5%. Median anaesthesia and surgical durations were 122 and 53 min, respectively. Plausibility checks identified recurrent preventable errors. Case studies of the five most frequent procedures revealed regional and hospital variation in anaesthesia choice, timing, and postoperative destination.

conclusionsA-QUA is a robust, validated programme for national anaesthesia quality monitoring in Switzerland, enabling benchmarking, targeted quality improvement and peri-operative research through continuous, standardised data collection.

Identifiers

PMID42730411
PMCPMC13568393

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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.