Introduction: Redefining Surgical Quality Through Failure to Rescue
For decades, the quality of surgical care was primarily measured by postoperative complication rates. However, recent shifts in healthcare quality research suggest that complications may be less a reflection of hospital quality and more a reflection of patient baseline health and the complexity of the procedure itself. Instead, the metric of Failure to Rescue (FTR)—defined as the probability of death following a treatable postoperative complication—has emerged as a superior indicator of institutional performance.
FTR focuses on the hospital’s capacity to detect, escalate, and manage complications once they occur. While complication rates represent the ‘occurrence’ of a problem, FTR represents the ‘response’ to that problem. A new study published in JAMA Network Open by Schwappach et al. provides a critical examination of FTR within the Swiss healthcare system, uncovering significant systematic variations that suggest over 1,000 deaths over a five-year period could have been avoided through better institutional rescue processes.
Highlights of the Research
– The crude national Failure to Rescue (FTR) rate in Switzerland stands at 18.07 per 100 admissions with complications.
– Approximately 14.7% of observed FTR deaths (1,045 patients) were attributed to below-average hospital performance rather than patient risk.
– Significant performance variation exists between institutions, with adjusted odds ratios for death ranging from 0.56 in the best-performing hospitals to 1.75 in the lowest-performing.
– Contrary to traditional volume-outcome expectations, poorer performance was frequently clustered in medium- and high-volume hospitals.
The Clinical Context: Why FTR Matters
In the realm of patient safety, the ‘Swiss Cheese Model’ of accident causation suggests that errors occur when holes in multiple layers of defense align. In surgery, the first layer of defense is preventing the complication. The second, and perhaps more critical layer, is the ‘rescue’—the ability of the clinical team to intervene before a complication becomes fatal.
Existing literature, largely based on US data, has consistently shown that while high-quality and low-quality hospitals have similar rates of complications, high-quality hospitals are significantly better at preventing those complications from leading to death. The study by Schwappach and colleagues aims to determine if these findings hold true in a European context, specifically Switzerland, where healthcare resources are high but systematic hospital-level variation in FTR has not been extensively quantified.
Study Design and Methodology
This retrospective cohort study utilized administrative hospital data from all acute-care hospitals in Switzerland between January 2019 and December 2023. The researchers applied the Agency for Healthcare Research and Quality (AHRQ) Patient Safety Indicator 04 (PSI04) to define the study population.
Participants and Criteria
The study included 41,506 surgical inpatients (mean age 67.6 years; 59.5% men) who experienced at least one PSI04-defined complication. These complications included:
– Deep vein thrombosis and/or pulmonary embolism
– Pneumonia
– Sepsis
– Shock and/or cardiac arrest
– Gastrointestinal hemorrhage and/or ulcer
Statistical Approach
To ensure a fair comparison, the researchers utilized multilevel logistic regression with hospital random intercepts. This allowed for the calculation of Risk-Standardized Mortality Ratios (RSMRs), which adjust for patient-level factors such as age, sex, comorbidities, and the specific type of complication. The intraclass correlation coefficient (ICC) was used to quantify how much of the variation in mortality was due to the hospital itself rather than the patients it treated.
Key Findings: Quantifying the Performance Gap
Among the 41,506 patients who suffered a major complication, 7,310 in-hospital deaths occurred. This resulted in a crude national FTR rate of 18.07%. However, the raw numbers tell only part of the story.
Wide Variation in Institutional Performance
When looking at 61 hospitals that handled at least 100 cases, the disparity in performance was stark. The adjusted odds ratio (OR) for death varied from 0.56 in the highest-performing hospital to 1.75 in the lowest. This suggests that a patient’s risk of dying from a complication is more than three times higher in some hospitals compared to others, even after accounting for the severity of their condition.
Attributable Mortality
The study estimated that 1,045 out of the 7,114 observed deaths in the hospital sample were attributable to below-average institutional performance. This translates to roughly 15% of postoperative complication-related deaths being potentially preventable if all hospitals performed at the level of the national average.
The Volume Paradox
One of the most surprising findings was the relationship between hospital volume and performance. Traditionally, high-volume centers are thought to have better outcomes due to specialization and resources. However, this study found that poorer performance—higher RSMRs—was clustered in medium- and high-volume hospitals. Only 8.2% of hospitals (five institutions) performed significantly better than expected, while 23% (14 institutions) performed significantly worse.
Expert Commentary: Understanding the Mechanisms of Rescue
The findings underscore that ‘rescue’ is not a single event but a complex organizational process. For a patient to be successfully rescued from a complication, several institutional factors must function in harmony:
1. Vigilance and Early Detection
Nursing-to-patient ratios are perhaps the strongest predictor of FTR. Nurses are the primary ‘surveillance system’ of the hospital. If a nurse is overloaded, the subtle signs of sepsis or respiratory distress may be missed until the patient is in extremis.
2. Communication and Escalation
Once a problem is detected, there must be a clear and non-hierarchical path for escalation. In some lower-performing hospitals, junior staff may feel intimidated or discouraged from calling a rapid response team or a senior consultant, leading to fatal delays.
3. Resource Availability
Access to 24/7 diagnostic imaging, interventional radiology, and specialized intensive care units is essential. However, the study’s finding regarding high-volume hospitals suggests that having these resources is not enough; they must be integrated into a functional system that prioritizes urgent intervention.
4. The ‘Failure to Rescue’ Mindset
High-performing hospitals often foster a culture of ‘preemptive concern’ where complications are expected and looked for aggressively, rather than being treated as unexpected outliers.
Clinical and Policy Implications
The results of this study have profound implications for healthcare policy and hospital management.
– **FTR as a Quality Benchmark:** FTR should be adopted as a standard quality indicator across international healthcare systems. Unlike simple mortality rates, FTR provides a more actionable metric for hospitals to evaluate their internal safety nets.
– **Targeted Improvements:** Instead of focusing solely on surgical technique, hospitals should invest in ‘rescue-oriented’ infrastructure, such as automated early-warning systems and standardized protocols for managing postoperative sepsis and shock.
– **Transparency:** The use of RSMRs allows for a transparent comparison of hospital performance, which can guide referring physicians and inform patient choice.
Conclusion
This cross-sectional study of the Swiss healthcare system reveals that nearly one in five surgical patients who experience a serious complication do not survive, and a significant portion of these deaths are tied to institutional performance. The discovery that 14.7% of these deaths might be avoided by elevating the performance of under-performing hospitals provides a clear mandate for system-level improvement. As surgery continues to become more complex, the ability of a hospital to ‘rescue’ its patients will remain the ultimate test of its clinical excellence.
References
1. Schwappach D, Zwahlen M, Havranek MM. Between-Hospital Variation in Failure to Rescue After Major Surgery. JAMA Netw Open. 2026;9(2):e2555855. doi:10.1001/jamanetworkopen.2025.55855.
2. Ghaferi AA, Birkmeyer JD, Dimick JB. Variation in hospital mortality associated with inpatient surgery. N Engl J Med. 2009;361(14):1368-1375.
3. Sheetz KH, Ghaferi AA. Failure to Rescue: The Final Common Pathway of Hospital Safety. Ann Surg. 2016;263(3):431-432.
