Rapid response teams and failure to rescue: one community's experience

A model-based cost-utility analysis of an automated notification system for deteriorating patients on general wards

BACKGROUND

Delayed response to clinical deterioration of hospital inpatients is common. Deployment of an electronic automated advisory vital signs monitoring and notification system to signal clinical deterioration is associated with significant improvements in clinical outcomes but there is no evidence on the cost-effectiveness compared with routine monitoring, in the National Health Service (NHS) in the United Kingdom (UK).

METHODS

A decision analytic model was developed to estimate the cost-effectiveness of an electronic automated advisory notification system versus standard care, in adults admitted to a district general hospital. Analyses considered: (1) the cost-effectiveness of the technology based on secondary analysis of patient level data of 3787 inpatients in a before-and-after study; and (2) the cost-utility (cost per quality-adjusted life-year (QALY)) over a lifetime horizon, extrapolated using published data. Analysis was conducted from the perspective of the NHS. Uncertainty in the model was assessed using a range of sensitivity analyses.

RESULTS

The study population had a mean age of 68 years, 48% male, with a median inpatient stay of 6 days. Expected life expectancy at discharge was assumed to be 17.74 years. (1) Cost-effectiveness analysis: The automated notification system was more effective (-0.027 reduction in mean events per patient) and provided a cost saving of -£12.17 (-182.07 to 154.80) per patient admission. (2) Cost-utility analysis: Over a lifetime horizon the automated notification system was dominant, demonstrating a positive incremental QALY gain (0.0287 QALYs, equivalent to ~10 days of perfect health) and a cost saving of £55.35. At a threshold of £20,000 per QALY, the probability of automated monitoring being cost-effective in the NHS was 81%. Increased use of cableless sensors may reduce cost-savings, however, the intervention remains cost-effective at 100% usage (ICER: £3,107/QALY). Stratified cost-effectiveness analysis by age, National Early Warning Score (NEWS) on admission, and primary diagnosis indicated the automated notification system was cost-effective for most strategies and that use representative of the patient population studied was the most cost-saving strategy.

CONCLUSION

Automated notification system for adult patients admitted to general wards appears to be a cost-effective use in the NHS; adopting this technology could be good use of scarce resources with significance for patient safety.

Prevalence and characteristics of medical emergency teams in Switzerland: a nationwide survey of intensive care units

BACKGROUND

Medical Emergency Teams (METs) have been implemented in many hospitals worldwide and are considered an integral part of the hospital patient safety system. However, data on prevalence, staffing and activation criteria of METs are scarce. Such data are important as they may help to identify areas of quality improvement and barriers to implementation of rapid response systems (RRS). This survey aimed to analyze current characteristics, prevalence, and organization of METs in Switzerland.

METHODS

We conducted a cross-sectional nationwide online survey, inviting physicians' and nurses' representatives from all registered adult intensive care units (ICU) in Switzerland.

RESULTS

Of the 74 hospitals invited to participate in the survey, 57 responded (response rate 77%). We obtained 82 individual responses (from 50 physicians and 32 nurses). Twenty-five hospitals (44%) have a MET in place. In most Swiss hospitals, METs are composed of ICU consultants (64%) and ICU nurses (40%) and are activated by phone, with a usual response time of less than 10 minutes. The most common triggers are single abnormal vital signs (80%), while multiple-parameter warning scores are less commonly used (28%). While more than half of the nurses have regular trainings for their MET members (57%), most MET physicians (63%) do not. Systematic data collection of MET calls occurs in only 43% of institutions. Finally, the most common reasons for not having a MET are staff shortage (44%) and lack of funding (19%).

CONCLUSIONS

Less than 50% of Swiss hospitals with an adult ICU have a MET in place. METs in Switzerland typically include an ICU doctor and an ICU nurse and are available 24/7. Major barriers to MET introduction are staff shortage and lack of funding.

Advantage of Vital Sign Monitoring Using a Wireless Wearable Device for Predicting Septic Shock in Febrile Patients in the Emergency Department: A Machine Learning-Based Analysis

Intermittent manual measurement of vital signs may not rapidly predict sepsis development in febrile patients admitted to the emergency department (ED). We aimed to evaluate the predictive performance of a wireless monitoring device that continuously measures heart rate (HR) and respiratory rate (RR) and a machine learning analysis in febrile but stable patients in the ED. We analysed 468 patients (age, ≥18 years; training set, n = 277; validation set, n = 93; test set, n = 98) having fever (temperature >38 °C) and admitted to the isolation care unit of the ED. The AUROC of the fragmented model with device data was 0.858 (95% confidence interval [CI], 0.809−0.908), and that with manual data was 0.841 (95% CI, 0.789−0.893). The AUROC of the accumulated model with device data was 0.861 (95% CI, 0.811−0.910), and that with manual data was 0.853 (95% CI, 0.803−0.903). Fragmented and accumulated models with device data detected clinical deterioration in febrile patients at risk of septic shock 9 h and 5 h 30 min earlier, respectively, than those with manual data. Continuous vital sign monitoring using a wearable device could accurately predict clinical deterioration and reduce the time to recognise potential clinical deterioration in stable ED patients with fever.

Failure to Rescue Deteriorating Patients: A Systematic Review of Root Causes and Improvement Strategies

OBJECTIVES

"Failure to rescue" (FTR) is the failure to prevent a death resulting from a complication of medical care or from a complication of underlying illness or surgery. There is a growing body of evidence that identifies causes and interventions that may improve institutional FTR rates. Why do patients "fail to rescue" after complications in hospital? What clinically relevant interventions have been shown to improve organizational fail to rescue rates? Can successful rescue methods be classified into a simple strategy?

METHODS

A systematic review was performed and the following electronic databases searched between January 1, 2006, to February 12, 2018: MEDLINE, PsycINFO, Cochrane Library, CINAHL, and BNI databases. All studies that explored an intervention to improve failure to rescue in the adult population were considered.

RESULTS

The search returned 1486 articles. Eight hundred forty-two abstracts were reviewed leaving 52 articles for full assessment. Articles were classified into 3 strategic arms (recognize, relay, and react) incorporating 6 areas of intervention with specific recommendations.

CONCLUSIONS

Complications occur consistently within healthcare organizations. They represent a huge burden on patients, clinicians, and healthcare systems. Organizations vary in their ability to manage such events. Failure to rescue is a measure of institutional competence in this context. We propose "The 3 Rs of Failure to Rescue" of recognize, relay, and react and hope that this serves as a valuable framework for understanding the phases where failure of patient salvage may occur. Future efforts at mitigating the differences in outcome from complication management between units may benefit from incorporating this proposed framework into institutional quality improvement.

Vital Signs Monitoring with Wearable Sensors in High-risk Surgical Patients

Background

Vital signs are usually recorded once every 8 h in patients at the hospital ward. Early signs of deterioration may therefore be missed. Wireless sensors have been developed that may capture patient deterioration earlier. The objective of this study was to determine whether two wearable patch sensors (SensiumVitals [Sensium Healthcare Ltd., United Kingdom] and HealthPatch [VitalConnect, USA]), a bed-based system (EarlySense [EarlySense Ltd., Israel]), and a patient-worn monitor (Masimo Radius-7 [Masimo Corporation, USA]) can reliably measure heart rate (HR) and respiratory rate (RR) continuously in patients recovering from major surgery.

Methods

In an observational method comparison study, HR and RR of high-risk surgical patients admitted to a step-down unit were simultaneously recorded with the devices under test and compared with an intensive care unit–grade monitoring system (XPREZZON [Spacelabs Healthcare, USA]) until transition to the ward. Outcome measures were 95% limits of agreement and bias. Clarke Error Grid analysis was performed to assess the ability to assist with correct treatment decisions. In addition, data loss and duration of data gaps were analyzed.

Results

Twenty-five high-risk surgical patients were included. More than 700 h of data were available for analysis. For HR, bias and limits of agreement were 1.0 (–6.3, 8.4), 1.3 (–0.5, 3.3), –1.4 (–5.1, 2.3), and –0.4 (–4.0, 3.1) for SensiumVitals, HealthPatch, EarlySense, and Masimo, respectively. For RR, these values were –0.8 (–7.4, 5.6), 0.4 (–3.9, 4.7), and 0.2 (–4.7, 4.4) respectively. HealthPatch overestimated RR, with a bias of 4.4 (limits: –4.4 to 13.3) breaths/minute. Data loss from wireless transmission varied from 13% (83 of 633 h) to 34% (122 of 360 h) for RR and 6% (47 of 727 h) to 27% (182 of 664 h) for HR.

Conclusions

All sensors were highly accurate for HR. For RR, the EarlySense, SensiumVitals sensor, and Masimo Radius-7 were reasonably accurate for RR. The accuracy for RR of the HealthPatch sensor was outside acceptable limits. Trend monitoring with wearable sensors could be valuable to timely detect patient deterioration.

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A Mixed Methods Study of Tele-ICU Nursing Interventions to Prevent Failure to Rescue of Patients in Critical Care

Background: Failure to rescue (FTR) is a benchmark of quality care. Limited evidence exists examining the influence of telemedicine intensive care units (tele-ICU) nursing interventions in preventing FTR. The purpose of this study was to characterize tele-ICU nursing interventions and to determine which combination of documented tele-ICU nursing interventions (DTNI) best predicts prevention of FTR in ICU patients with hospital-acquired conditions (HACs). Materials and Methods: We used convergent parallel mixed methods design to conduct qualitative interviews with a purposive sample of tele-ICU nurses (n = 19) from 11 US tele-ICU centers. Quantitative data, including demographics, DTNIs, severity of illness scores, and video assessment times from January 2016 to December 2016 were retrieved for ICU patients discharged from a multihospital health system with a tele-ICU center (n = 861). Findings from both qualitative and quantitative analyses were merged, compared, and contrasted. Results: FTR patients had higher severity of illness, longer video assessment by tele-ICU nurses, and were more likely to have DTNIs related to hemodynamic instability. Four themes emerged from qualitative analysis: fundamental tele-ICU nurse attributes, proactive clinical practice, effective collaborative relationships, and strategic use of advanced technology. Mixed methods analysis revealed convergence between DTNIs and tele-ICU nurses' characterizations of their practice. Conclusions: Tele-ICU nurses' characterizations of their practice closely align with DTNIs. Tele-ICU nursing practice to prevent FTR involves systems thinking and integration of many complex factors. Tele-ICU nurses can reduce the odds of FTR with focus on support and clinical coordination interventions that avoid hemodynamic instability in ICU patients with a diagnosed HAC.

Reliability of wireless monitoring using a wearable patch sensor in high-risk surgical patients at a step-down unit in the Netherlands: a clinical validation study

BACKGROUND AND OBJECTIVES

Intermittent vital signs measurements are the current standard on hospital wards, typically recorded once every 8 hours. Early signs of deterioration may therefore be missed. Recent innovations have resulted in 'wearable' sensors, which may capture patient deterioration at an earlier stage. The objective of this study was to determine whether a wireless 'patch' sensor is able to reliably measure respiratory and heart rate continuously in high-risk surgical patients. The secondary objective was to explore the potential of the wireless sensor to serve as a safety monitor.

DESIGN

In an observational methods comparisons study, patients were measured with both the wireless sensor and bedside routine standard for at least 24 hours.

SETTING

University teaching hospital, single centre.

PARTICIPANTS

Twenty-five postoperative surgical patients admitted to a step-down unit.

OUTCOME MEASURES

Primary outcome measures were limits of agreement and bias of heart rate and respiratory rate. Secondary outcome measures were sensor reliability, defined as time until first occurrence of data loss.

RESULTS

1568 hours of vital signs data were analysed. Bias and 95% limits of agreement for heart rate were -1.1 (-8.8 to 6.5) beats per minute. For respiration rate, bias was -2.3 breaths per minute with wide limits of agreement (-15.8 to 11.2 breaths per minute). Median filtering over a 15 min period improved limits of agreement of both respiration and heart rate. 63% of the measurements were performed without data loss greater than 2 min. Overall data loss was limited (6% of time).

CONCLUSIONS

The wireless sensor is capable of accurately measuring heart rate, but accuracy for respiratory rate was outside acceptable limits. Remote monitoring has the potential to contribute to early recognition of physiological decline in high-risk patients. Future studies should focus on the ability to detect patient deterioration on low care environments and at home after discharge.

Effect of an automated notification system for deteriorating ward patients on clinical outcomes

Background

Delayed response to clinical deterioration of ward patients is common.

Methods

We performed a prospective before-and-after study in all patients admitted to two clinical ward areas in a district general hospital in the UK. We examined the effect on clinical outcomes of deploying an electronic automated advisory vital signs monitoring and notification system, which relayed abnormal vital signs to a rapid response team (RRT).

Results

We studied 2139 patients before (control) and 2263 after the intervention. During the intervention the number of RRT notifications increased from 405 to 524 (p = 0.001) with more notifications triggering fluid therapy, bronchodilators and antibiotics. Moreover, despite an increase in the number of patients with “do not attempt resuscitation” orders (from 99 to 135; p = 0.047), mortality decreased from 173 to 147 (p = 0.042) patients and cardiac arrests decreased from 14 to 2 events (p = 0.002). Finally, the severity of illness in patients admitted to the ICU was reduced (mean Acute Physiology and Chronic Health Evaluation II score: 26 (SD 9) vs. 18 (SD 8)), as was their mortality (from 45% to 24%; p = 0.04).

Conclusions

Deployment of an electronic automated advisory vital signs monitoring and notification system to signal clinical deterioration in ward patients was associated with significant improvements in key patient-centered clinical outcomes.

Trial registration

ClinicalTrials.gov, NCT01692847. Registered on 21 September 2012.

Electronic supplementary material

The online version of this article (doi:10.1186/s13054-017-1635-z) contains supplementary material, which is available to authorized users.

Impact of Hospital Characteristics on Failure to Rescue Following Major Surgery

OBJECTIVE

To determine the effect of hospital characteristics on failure to rescue after high-risk surgery in Medicare beneficiaries.

SUMMARY BACKGROUND DATA

Reducing failure to rescue events is a common quality target for US hospitals. Little is known about which hospital characteristics influence this phenomenon and more importantly by how much.

METHODS

We identified 1,945,802 Medicare beneficiaries undergoing 1 of six high-risk general or vascular operations between 2007 and 2010. Using multilevel mixed-effects logistic regression modeling, we evaluated how failure to rescue rates were influenced by specific hospital characteristics previously associated with postsurgical outcomes. We used variance partitioning to determine the relative influence of patient and hospital characteristics on the between-hospital variability in failure to rescue rates.

RESULTS

Failure to rescue rates varied up to 11-fold between very high and very low mortality hospitals. Comparing the highest and lowest mortality hospitals, we observed that teaching status (range: odds ratio [OR] 1.08-1.54), high hospital technology (range: OR 1.08-1.58), increasing nurse-to-patient ratio (range: OR 1.02-1.14), and presence of >20 intensive care unit (ICU) beds (range: OR 1.09-1.62) significantly influenced failure to rescue rates for all procedures. When taken together, hospital and patient characteristics accounted for 12% (lower extremity revascularization) to 57% (esophagectomy) of the observed variation in failure to rescue rates across hospitals.

CONCLUSIONS

Although several hospital characteristics are associated with lower failure to rescue rates, these macrosystem factors explain a small proportion of the variability between hospitals. This suggests that microsystem characteristics, such as hospital culture and safety climate, may play a larger role in improving a hospital's ability to manage postoperative complications.

The association of intensivists with failure-to-rescue rates in outlier hospitals: results of a national survey of intensive care unit organizational characteristics

PURPOSE

Critical care is often an integral part of rescue for patients with surgical complications. We sought to understand critical care characteristics predictive of failure-to-rescue (FTR) performance at the hospital level.

METHODS

Using 2009 to 2011 FTR data from Hospital Compare, we identified 144 outlier hospitals with significantly better/worse performance than the national average. We surveyed intensive care unit (ICU) directors and nurse managers regarding physical structures, patient composition, staffing, care protocols, and rapid response teams (RRTs). Hospitals were compared using descriptive statistics and logistic regression.

RESULTS

Of 67 hospitals completing the survey, 56.1% were low performing, and 43.9% were high performing. Responders were more likely to be teaching hospitals (40.9% vs 25.0%; P=.05) but were similar to nonresponders in terms of size, region, ownership, and FTR performance. Poor performers were more likely to serve higher proportions of Medicaid patients (68.4% vs 20.7%; P<.0001) and be level 1 trauma centers (55.9% vs 25.9%; P=.02). After controlling for these 2 characteristics, an intensivist on the RRT (adjusted odds ratio, 4.27; confidence interval, 1.45-23.02; P=.005) and an internist on staff in the ICU (adjusted odds ratio, 2.13; P=.04) were predictors of high performance.

CONCLUSIONS

Intensivists on the RRT and internists in the ICU may represent discrete organizational strategies for improving patient rescue. Hospitals with high Medicaid burden fare poorly on the FTR metric.

Trends and variations in the rates of hospital complications, failure-to-rescue and 30-day mortality in surgical patients in New South Wales, Australia, 2002-2009

BACKGROUND

Despite the increased acceptance of failure-to-rescue (FTR) as an important patient safety indicator (defined as the percentage of deaths among surgical patients with treatable complications), there has not been any large epidemiological study reporting FTR in an Australian setting nor any evaluation on its suitability as a performance indicator.

METHODS

We conducted a population-based study on elective surgical patients from 82 public acute hospitals in New South Wales, Australia between 2002 and 2009, exploring the trends and variations in rates of hospital complications, FTR and 30-day mortality. We used Poisson regression models to derive relative risk ratios (RRs) after adjusting for a range of patient and hospital characteristics.

RESULTS

The average rates of complications, FTR and 30-day mortality were 13.8 per 1000 admissions, 14.1% and 6.1 per 1000 admission, respectively. The rates of complications and 30-day mortality were stable throughout the study period however there was a significant decrease in FTR rate after 2006, coinciding with the establishment of national and state-level peak patient safety agencies. There were marked variations in the three rates within the top 20% of hospitals (best) and bottom 20% of hospitals (worst) for each of the four peer-hospital groups. The group comprising the largest volume hospitals (principal referral/teaching hospitals) had a significantly higher rate of FTR in comparison to the other three groups of smaller-sized peer hospital groups (RR = 0.78, 0.57, and 0.61, respectively). Adjusted rates of complications, FTR and 30-day mortality varied widely for individual surgical procedures between the best and worst quintile hospitals within the principal referral hospital group.

CONCLUSIONS

The decrease in FTR rate over the study period appears to be associated with a wide range of patient safety programs. The marked variations in the three rates between- and within- peer hospital groups highlight the potential for further quality improvement intervention opportunities.

Reconceptualising failure to rescue in midwifery: a concept analysis

AIM

to reconceptualise the concept of failure to rescue, distinguishing it from its current scientific usage as a surveillance strategy to recognise physiologic decline.

BACKGROUND

failure to rescue has been consistently defined as a failure to save a patient׳s life after development of complications. The term, however, carries a richer connotation when viewed within a midwifery context. Midwives have historically believed themselves to be the vanguards of normal, physiologic processes, including birth. This philosophy mandates careful consideration of what it means to promote normal birth and the consequences of failure to rescue women from processes which challenge that outcome.

DATA SOURCES

the Medline, CINAHL, PsycINFO, PubMED, Web of Science and Google Scholar databases were searched from the period of 1992-2014 using the key terms of concept analysis, failure-to-rescue, childbirth, midwifery outcomes, obstetrical outcomes, suboptimal care, and patient outcomes. English language reports were used exclusively. The search yielded 45 articles which were reviewed in this paper.

REVIEW METHOD

a critical analysis of the published literature was undertaken as a means of determining the adequacy of the concept for midwifery practice and to detail how it relates to other concepts important in development of a conceptual framework promoting normal birth processes.

FINDINGS

failure to rescue within the context of the midwifery model of care requires robust attention to a midwifery managed setting and surveillance based on a caring presence, patient protection, and midwifery partnership with patient.

CONCLUSION

clarifying the definition of failure to rescue in childbirth and defining its attributes can help inform midwifery providers throughout the world of the ethical importance of considering failure to rescue in clinical practice. Relevance to midwifery care mandates use of failure to rescue as both a process and outcome measure.