Evidence map›Paper›PMID 35573007›Full record

ArticleFrontiers in medicine2022

The German Quality Network Sepsis: Evaluation of a Quality Collaborative on Decreasing Sepsis-Related Mortality in a Controlled Interrupted Time Series Analysis.

Daniel Schwarzkopf, Hendrik Rüddel, Alexander Brinkmann, Carolin Fleischmann-Struzek, Marcus E Friedrich, Michael Glas, Christian Gogoll, Matthias Gründling, Patrick Meybohm, Mathias W Pletz and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 33% of its field
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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Challenges of assessing the burden of sepsis.Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2023
    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

13 authors at 7 institutions in 2 countries.

Daniel SchwarzkopfIntegrated Research and Treatment Center for Sepsis Control and Care (CSCC), Jena University Hospital, Jena, Germany.
Hendrik RüddelIntegrated Research and Treatment Center for Sepsis Control and Care (CSCC), Jena University Hospital, Jena, Germany.
Alexander BrinkmannDepartment of Anesthesiology and Intensive Care Medicine, General Hospital of Heidenheim, Heidenheim, Germany.
Carolin Fleischmann-StruzekIntegrated Research and Treatment Center for Sepsis Control and Care (CSCC), Jena University Hospital, Jena, Germany.
Marcus E FriedrichNew York State Department of Health, Albany, NY, United States.
Michael GlasDepartment for Infectious Diseases and Infection Control, KH Labor GmbH, AMEOS Group, Bernburg, Germany.
Christian GogollOutpatient Services, Evangelische Lungenklinik Berlin-Buch, Berlin, Germany.
Matthias GründlingDepartment of Anesthesiology, University Hospital of Greifswald, Greifswald, Germany.
Patrick MeybohmDepartment of Anesthesiology, Intensive Care, Emergency and Pain Medicine, University Hospital Wuerzburg, Wuerzburg, Germany.
Mathias W PletzInstitute for Infectious Diseases and Infection Control, Jena University Hospital, Jena, Germany.
Torsten SchreiberDepartment of Anesthesia and Intensive Care, Zentralklinik Bad Berka, Bad Berka, Germany.
Daniel O Thomas-RüddelBerlin Institute of Health, Campus Virchow-Klinikum, Berlin, Germany.
Konrad ReinhartIntegrated Research and Treatment Center for Sepsis Control and Care (CSCC), Jena University Hospital, Jena, Germany.
Jena University Hospital · DEEvangelische Lungenklinik Berlin · DEFreie Universität Berlin · DENew York State Department of Health · USUniversitätsklinikum Würzburg · DEUniversitätsmedizin Greifswald · DEZentralklinik Bad Berka · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sepsis is one of the leading causes of preventable deaths in hospitals. This study presents the evaluation of a quality collaborative, which aimed to decrease sepsis-related hospital mortality. Methods: The German Quality Network Sepsis (GQNS) offers quality reporting based on claims data, peer reviews, and support for establishing continuous quality management and staff education. This study evaluates the effects of participating in the GQNS during the intervention period (April 2016-June 2018) in comparison to a retrospective baseline (January 2014-March 2016). The primary outcome was all-cause risk-adjusted hospital mortality among cases with sepsis. Sepsis was identified by International Classification of Diseases (ICD) codes in claims data. A controlled time series analysis was conducted to analyze changes from the baseline to the intervention period comparing GQNS hospitals with the population of all German hospitals assessed Results: Seventy-four hospitals participated, of which 17 were university hospitals and 18 were tertiary care facilities. Observed mortality was 43.5% during baseline period and 42.7% during intervention period. Interrupted time-series analyses did not show effects on course or level of risk-adjusted mortality of cases with sepsis compared to the national DRG-statistics after the beginning of the intervention period ( Conclusion: As long as hospital-wide sepsis quality improvement efforts will not become a high priority for the hospital leadership by assuring adequate resources and involvement of all pertinent stakeholders, voluntary initiatives to improve the quality of sepsis care will remain prone to failure.

Indexed as

administrative claimsdiagnosis-related groups (DRG)interdisciplinary health teammortalityquality improvementrisk adjustmentsepsis

Identifiers

PMID35573007
PMCPMC9094049
OpenAlexW4224948627

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.