ArticleJAMA network open2026
Between-Hospital Variation in Failure to Rescue After Major Surgery.
Article in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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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.
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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.
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Who cites it
3 citing papers in PubMed.
- Quality in Surgery: Concepts, Measurement, Advances and Strategies for Improvement.World journal of surgery · 2026Review
- Surgeon Perceptions of Failure to Rescue After Surgery.JAMA network open · 2026Article
- Failure-to-rescue in surgical practice: a systematic review and critical appraisal of recent clinical studies.Frontiers in surgery · 2026Review
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Importance: Failure to rescue (FTR), defined as postoperative mortality among patients with treatable complications, is a recognized patient safety concern. FTR reflects institutional capacity for timely management of deterioration and has been proposed as a quality indicator less dependent on baseline complication risk. Evidence on systematic hospital-level variation outside the US remains limited. Objective: To estimate national postoperative FTR rates, quantify between-hospital variation, and identify hospitals with better- or worse-than-expected performance using risk-standardized mortality ratios (RSMRs). Design, Setting, and Participants: This retrospective cohort study conducted in Switzerland applied the Agency for Healthcare Research and Quality (AHRQ) patient safety indicator 04 (PSI04) definition to administrative hospital data to all acute-care hospitals in Switzerland from January 2019 to December 2023. Participants included surgical inpatients with at least 1 PSI04-defined complication (ie, deep vein thrombosis and/or pulmonary embolism, pneumonia, sepsis, shock and/or cardiac arrest, and gastrointestinal hemorrhage and/or ulcer). Hospital-level variation was assessed using multilevel logistic regression with hospital random intercepts and summarized with RSMRs. Alternative models were estimated to explore the stability of results. Exposure: Acute care hospitalization. Main Outcomes and Measures: In-hospital mortality following eligible complications, expressed as crude FTR rates and RSMRs. The intraclass correlation coefficient quantified systematic performance variation. Results: Among 41 506 inpatients undergoing surgery with PSI04-defined complications (mean [SD] age, 67.6 [14.8] years; 24 692 [59.5%] men), 7310 in-hospital deaths occurred. The crude national FTR rate was 18.07 (95% CI, 17.66-18.50) of 100 admissions. In 61 hospitals with at least 100 cases, adjusted odds ratio for death varied between the lowest- and highest-performing hospitals from 0.56 (95% CI, 0.38-0.80) to 1.75 (95% CI, 1.59-1.92). Hospital-level variance was 0.114 (intraclass correlation coefficient, 0.034; 95% CI, 0.020-0.055). An estimated 1045 of 7114 observed FTR deaths (14.7%) within the hospital sample were attributable to below-average hospital performance. Five hospitals (8.2%) performed significantly better than expected, 42 (68.9%) as expected, and 14 (23.0%) substantially worse than expected based on RSMR 95% CIs. Poorer performance clustered in medium- and high-volume hospitals. Alternative regression models confirmed stability of results. Conclusions and Relevance: In this cross-sectional study of FTR, nearly 1 in 5 patients undergoing surgery who experienced serious complications died, with substantial between-hospital variation. Multilevel modeling indicated that institutional performance accounted for 1045 potentially avoidable deaths. These findings support FTR as an international patient safety indicator and highlight the need to investigate organizational determinants of variation to inform system-level improvement strategies.
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