Evidence map›Paper›PMID 42461044›Full record

SynthesisBJS open2026

Hospital factors associated with failure to rescue after surgery: meta-analysis.

Cameron I Wells, Surya Akash Boppana, Chris Varghese, William Xu, Greg O'Grady, Ian P Bissett

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BJS open, 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

6 authors.

Cameron I WellsDepartment of Surgery, The University of Auckland, Auckland, New Zealand.ORCID 0000-0001-9221-6674
Surya Akash BoppanaDepartment of Surgery, The University of Auckland, Auckland, New Zealand.
Chris VargheseDepartment of Surgery, The University of Auckland, Auckland, New Zealand.ORCID 0000-0001-7369-8639
William XuDepartment of Surgery, The University of Auckland, Auckland, New Zealand.ORCID 0000-0002-1270-2769
Greg O'GradyDepartment of Surgery, The University of Auckland, Auckland, New Zealand.
Ian P BissettDepartment of Surgery, The University of Auckland, Auckland, New Zealand.ORCID 0000-0001-6530-2454

Funding

Health Research Council of New Zealand
6 · The paper itself

Abstract

backgroundFailure to rescue (FTR) is a key driver of postoperative mortality and reflects a hospital's ability to recognize, escalate, and treat complications. Although FTR varies substantially between hospitals, the hospital characteristics that underpin this variation are inconsistently described. The aim of this study was to synthesize evidence on hospital-level factors associated with FTR after postoperative complications across surgical populations and health systems.

methodsA systematic review of observational studies evaluating associations between hospital-level characteristics and FTR in surgical patients was undertaken. MEDLINE, EMBASE, and Scopus were systematically searched on 17 July 2024 and updated to 31 December 2025. Hospital factors were classified into structural, staffing, and system domains. Where three or more non-overlapping studies reported adjusted estimates in comparable formats, random-effects meta-analyses were performed; otherwise, findings were summarized narratively. Methodological quality of included studies was assessed using the ROBINS-I tool (version 2).

resultsA total of 111 studies encompassing over 137 million patients and 301 hospital factors were included. Meta-analyses demonstrated lower FTR rates in larger hospitals (odds ratio 0.85, 95% confidence interval 0.74 to 0.97), hospitals with greater intensive care unit capacity (odds ratio 0.80, 0.71 to 0.90), and teaching hospitals (odds ratio 0.88, 0.83 to 0.93). Better nursing resources were consistently associated with lower FTR, including patient-to-nurse ratios (odds ratio 1.07, 1.03 to 1.10), higher nurse education (odds ratio 0.95, 0.91 to 0.99), and more favourable work environments (odds ratio 0.93, 0.90 to 0.95). Safety-net hospital status was associated with higher FTR (odds ratio 1.22, 1.03 to 1.45). Substantial heterogeneity was observed across most analyses.

conclusionHospital-level structural, staffing, and system characteristics are associated with variation in FTR. Postoperative mortality is closely linked to institutional capacity to detect and manage complications, underscoring the importance of adequate resourcing and system organization to improve surgical outcomes.

Indexed as

Failure to Rescue, Health CareHospitalsPostoperative ComplicationsHospital MortalityHumansIntensive Care Unitscomplication rescuehealth system factorshospital characteristicspostoperative mortalitysurgical quality improvement

Identifiers

PMID42461044
PMCPMC13373787

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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.