Predictive value of a tiered escalation response system: A case control study.

OBJECTIVE: Rapid response systems designed to detect and respond to clinical deterioration often incorporate a multitiered, escalation response. We sought to determine the 'predictive strength' of commonly used triggers, and tiers of escalation, for predicting a rapid response team (RRT) call, unanticipated intensive care unit admission, or cardiac arrest (events). DESIGN: This was a nested, matched case-control study. SETTING: The study setting involved a tertiary referral hospital. PARTICIPANTS: Cases experienced an event, and controls were matched patients without an event. OUTCOME MEASURES: Sensitivity and specificity and area under the receiver operating characteristic curve (AUC) were measured. Logistic regression determined the set of triggers with the highest AUC. RESULTS: There were 321 cases and 321 controls. Nurse triggers occurred in 62%, medical review triggers in 34%, and RRT triggers 20%. Positive predictive value of nurse triggers was 59%, that of medical review triggers was 75%, and that of RRT triggers was 88%. These values were no different when modifications to triggers were considered. The AUC was 0.61 for nurses, 0.67 for medical review, and 0.65 for RRT triggers. With modelling, the AUC was 0.63 for the lowest tier, 0.71 for next highest, and 0.73 for the highest tier. CONCLUSION: For a three-tiered system, at the lowest tier, specificity of triggers decreases, sensitivity increases, but the discriminatory power is poor. Thus, there is little to be gained by using a rapid response system with more than two tiers. Modifications to triggers reduced the potential number of escalations and did not affect tier discriminatory value.

Optimising the response to acute clinical deterioration: the role of observation and response charts.

We sought the role of the hospital inpatient observation and response chart (ORC) in reducing adverse outcomes. We sourced articles written in English and published in PubMed. Track, trigger and response systems can be tiered and use single parameter or aggregate scoring systems; the latter being more prone to error. The documentation and detection of abnormal vital signs can be affected by choice of trigger and response and by ORC design. There is considerable variation in the design of ORC and of rapid response systems (RRS) in general, and this impairs assessment of their efficacy. A high rate of modification of pre-determined triggers and poor sensitivity of measured outcomes further compromise systematic review. The best-designed ORC and RRS should optimise the frequency of response team activation to minimise adverse patient outcomes without excess resource utilisation. The role and the risks of electronic data recording are under-explored. Detecting and responding to deteriorating patients relies upon accurate and clear documentation of vital signs. ORC design and staff education on ORC implementation and usage are integral to minimising ALF and optimising patient outcomes. Standardisation of the design of both the ORC and the hospital RRS are overdue.

The impact of post-operative sepsis on mortality after hospital discharge among elective surgical patients: a population-based cohort study.

BACKGROUND: Our aim in the present study was to assess the mortality impact of hospital-acquired post-operative sepsis up to 1 year after hospital discharge among adult non-short-stay elective surgical patients. METHODS: We conducted a population-based, retrospective cohort study of all elective surgical patients admitted to 82 public acute hospitals between 1 January 2007 and 31 December 2012 in New South Wales, Australia. All adult elective surgical admission patients who stayed in hospital for ≥4 days and survived to discharge after post-operative sepsis were identified using the Admitted Patient Data Collection records linked with the Registry of Births, Deaths, and Marriages. We assessed post-discharge mortality rates at 30 days, 60 days, 90 days and 1 year and compared them with those of patients without post-operative sepsis. RESULTS: We studied 144,503 survivors to discharge. Of these, 1857 (1.3%) had experienced post-operative sepsis. Their post-discharge mortality rates at 30 days, 60 days, 90 days and 1 year were 4.6%, 6.7%, 8.1% and 13.5% (vs 0.7%, 1.2%, 1.5% and 3.8% in the non-sepsis cohort), respectively (P < 0.0001 for all). After adjustment for patient and hospital characteristics, post-operative sepsis remained independently associated with a higher mortality risk (30-day mortality HR 2.75, 95% CI 2.14-3.53; 60-day mortality HR 2.45, 95% CI 1.94-3.10; 90-day mortality HR 2.31, 95% CI 1.85-2.87; 1-year mortality HR 1.71, 95% CI 1.46-2.00). Being older than 75 years of age (HR 3.50, 95% CI 1.56-7.87) and presence of severe/very severe co-morbidities as defined by Charlson co-morbidity index (severe vs normal HR 2.05, 95% CI 1.45-2.89; very severe vs normal HR 2.17, 95% CI 1.49-3.17) were the only other significant independent predictors of increased 1-year mortality. CONCLUSIONS: Among elective surgical patients, post-operative sepsis is independently associated with increased post-discharge mortality up to 1 year after hospital discharge. This risk is particularly high in the first month, in older age patients and in the presence of severe/very severe co-morbidities. This high-risk population can be targeted for interventions.

Incidences and variations of hospital acquired venous thromboembolism in Australian hospitals: a population-based study.

BACKGROUND: Data on hospital-acquired venous thromboembolism (HA-VTE) incidence, case fatality rate and variation amongst patient groups and health providers is lacking. We aim to explore HA-VTE incidences, associated mortality, trends and variations across all acute hospitals in New South Wales (NSW)-Australia. METHODS: A population-based study using all admitted patients (aged 18-90 with a length of stay of at least two days and not transferred to another acute care facility) in 104 NSW acute public and private hospitals during 2002-2009. Poisson mixed models were used to derive adjusted rate ratios (IRR) in presence of patient and hospital characteristics. RESULTS: Amongst, 3,331,677 patients, the incidence of HA-VTE was 11.45 per 1000 patients and one in ten who developed HA-VTE died in hospital. HA-VTE incidence, initially rose, but subsequently declined, whereas case fatality rate consistently declined by 22 % over the study period. Surgical patients were 128 % (IRR = 2.28, 95 % CI: 2.19-2.38) more likely to develop HA-VTE, but had similar case fatality rates compared to medical patients. Private hospitals, in comparison to public hospitals had a higher incidence of HA-VTE (IRR = 1.76; 95 % CI: 1.42-2.18) for medical patients. However, they had a similar incidence (IRR = 0.91; 95 % CI: 0.75-1.11), but a lower mortality (IRR = 0.59; 95 % CI: 0.47-0.75) amongst surgical patients. Smaller public hospitals had a lower HA-VTE incidence rate compared to larger hospitals (IRR < 0.68) but a higher case fatality rate (IRR > 1.71). Hospitals with a lower reported HA-VTE incidence tended to have a higher HA-VTE case fatality rate. CONCLUSION: Despite the decline in HA-VTE incidence and case fatality, there were large variations in incidents between medical and surgical patients, public and private hospitals, and different hospital groups. The causes of such differences warrant further investigation and may provide potential for targeted interventions and quality improvement initiatives.

Perceptions of interactions between staff members calling, and those responding to, rapid response team activations for patient deterioration.

Objectives The aim of the present study was to investigate experiences of staff interactions and non-technical skills (NTS) at rapid response team (RRT) calls, and their association with repeat RRT calls. Methods Mixed-methods surveys were conducted of RRT members and staff who activate the RRT (RRT users) for their perceptions and attitudes regarding the use of NTS during RRT calls. Responses within the survey were recorded as Likert items, ranked data and free comments. The latter were coded into nodes relating to one of four NTS domains: leadership, communication, cooperation and planning. Results Two hundred and ninety-seven (32%) RRT users and 79 (73.8%) RRT members provided responses. Of the RRT user respondents, 76.5% had activated the RRT at some point. Deficits in NTS at RRT calls were revealed, with 36.9% of users not feeling involved during RRT calls and 24.7% of members perceiving that users were disinterested. Unresolved user clinical concerns, or persistence of RRT calling criteria, were reasons cited by 37.6% and 23%, respectively, of RRT users for reactivating an RRT to the same patient. Despite recollections of conflict at previous RRT calls, 92% of users would still reactivate the RRT. The most common theme in the free comments related to deficiencies in cooperation (52.9%), communication (28.6%) and leadership (14.3%). Conclusions This survey of RRT users and members revealed problems with RRT users' and members' interactions at the time of an RRT call. Both users and members considered NTS to be important, but lacking. These findings support NTS training for RRT members and users. What is known about the topic? Previous surveying has related experiences of criticism and conflict between clinical staff at RRT activations. This leads to reluctance to call the RRT when indicated, with risks to patient safety, especially if subsequent RRT activation is necessary. Training in NTS has improved clinician interactions in simulated emergencies, but the exact role of NTS during RRT calls has not yet been established. What does this paper add? The present survey examined experienced clinicians' perceptions of the use of NTS at RRT calls and the effect on subsequent calling. A key finding was a disparity between perceptions of how RRT members interact with those activating the RRT (RRT users) and their performance of NTS. This was reflected with unresolved RRT user clinical concern at the time of a call. In turn, this affected RRT users' attitudes and intentions to reactivate the RRT. Formal handover was considered desirable by both RRT users and members. What are the implications for practitioners? The interface between the RRT and those who call the RRT is crucial. This survey shows that RRT users desire to be included in the management of the deteriorating patient and have their concerns addressed before completion of RRT attendance. Failure to do so results in repeat activations to the same patient, with the potential for adverse patient outcomes. Training to include NTS, especially around handover, for RRT members may address this issue and should be explored further.

Delayed Emergency Team Calls and Associated Hospital Mortality: A Multicenter Study.

OBJECTIVE: We tested the hypothesis that responses to physiologic deterioration in hospital ward patients delayed by more than 15 minutes are associated with increased mortality. DESIGN, SETTING, AND PARTICIPANTS: We used data from a 23-hospital cluster randomized trial (January 2004 to December 2004) of implementation of rapid response teams (intervention) versus standard practice with conventional cardiac arrest team-based responses to emergencies (control). We examined emergency calls in all hospitals. In intervention hospitals, we also examined such calls in the period before, during the introduction, and after the full implementation of a rapid response system. We studied the statistical association between such delayed calls and mortality. MAIN OUTCOMES AND MEASURES: Hospital outcomes (mortality, unplanned ICU admissions, and cardiac arrests). RESULTS: There were 3,135 emergency team calls in all hospitals. Overall, almost one third of such calls were delayed. In intervention hospitals, the proportion of delayed calls was similar before and after implementation of rapid response teams. Compared with control hospitals, in intervention hospitals, there was a significant decrease in the proportion of delayed calls during both the introduction (27.3% vs 34.3% weekly rate; incidence rate ratio, 0.84; p = 0.001) and the full implementation period (29.0% vs 34.5% weekly rate; incidence rate ratio, 0.84; p = 0.023). Delayed calls more likely occurred at night, in high dependence or coronary care units, in patients older than 75 years, in those with a decrease in Glasgow Coma Scale, or in those with hypotension as the reason for the call. Finally, in all hospitals, delayed calls were associated with an increased risk of unplanned ICU admissions (adjusted odds ratio = 1.56; 95% CI, 1.23-2.04; p ≤ 0.001) and death (adjusted odds ratio = 1.79; 95% CI, 1.43-2.27; p < 0.001). CONCLUSIONS: Among ward patients, emergency team activation in response to acute deterioration triggered more than 15 minutes after detection and documentation of instability is independently associated with an increased risk of ICU admission and death.

Cardiopulmonary arrest and mortality trends, and their association with rapid response system expansion.

OBJECTIVES: To understand the changes in the population incidence of inhospital cardiopulmonary arrest (IHCA) and mortality associated with the introduction of rapid response systems (RRSs). DESIGN, SETTING AND PARTICIPANTS: Population-based study of 9 221 138 hospital admissions in 82 public acute hospitals in New South Wales, using data linked to a death registry, from 1 Jan 2002 to 31 Dec 2009. MAIN OUTCOME MEASURES: Changes in IHCA, IHCA-related mortality, hospital mortality and proportion of IHCA patients surviving to hospital discharge. RESULTS: RRS uptake increased from 32% in 2002 to 74% in 2009. This increase was associated with a 52% decrease in IHCA rate, a 55% decrease in IHCA-related mortality rate, a 23% decrease in hospital mortality rate and a 15% increase in survival to discharge after an IHCA (all P < 0.01). The adjusted absolute reductions in IHCA-related mortality and hospital mortality were 1.49 (95% CI, 1.30-1.68) and 4.05 (95% CI, 3.17-4.76) patients per 1000 admissions, respectively. The decrease in IHCA incidence rate accounted for 95% of the reduction in IHCA-related mortality. In contrast, the increase in IHCA survival accounted for only 5% of the reduction in IHCA-related mortality. CONCLUSIONS: During nearly a decade, as RRSs were progressively introduced, there was a coincidental reduction in IHCA, IHCA-related deaths and hospital mortality and an increased survival to hospital discharge after an IHCA. Reduced IHCA incidence, rather than improved postcardiac arrest survival, was the main contributor to the reduction in IHCA mortality.

Intensive care utilisation after elective surgery in Australia and New Zealand: A point prevalence study.

Objective: We aimed to describe the characteristics, outcomes and resource utilisation of patients being cared for in an ICU after undergoing elective surgery in Australia and New Zealand (ANZ). Methods: This was a point prevalence study involving 51 adult ICUs in ANZ in June 2021. Patients met inclusion criteria if they were being treated in a participating ICU on he study dates. Patients were categorised according to whether they had undergone elective surgery, admitted directly from theatre or unplanned from the ward. Descriptive and comparative analysis was performed according to the source of ICU admission. Resource utilisation was measured by Length of stay, organ support and occupied bed days. Results: 712 patients met inclusion criteria, with 172 (24%) have undergone elective surgery. Of these, 136 (19%) were admitted directly to the ICU and 36 (5.1%) were an unplanned admission from the ward. Elective surgical patients occupied 15.8% of the total ICU patient bed days, of which 44.3% were following unplanned admissions. Elective surgical patients who were an unplanned admission from the ward, compared to those admitted directly from theatre, had a higher severity of illness (AP2 17 vs 13, p<0.01), require respiratory or vasopressor support (75% vs 44%, p<0.01) and hospital mortality (16.7% vs 2.2%, p < 0.01). Conclusions: ICU resource utilisation of patients who have undergone elective surgery is substantial. Those patients admitted directly from theatre have good outcomes and low resource utilisation. Patient admitted unplanned from the ward, although fewer, were sicker, more resource intensive and had significantly worse outcomes.

Systematic review and longitudinal analysis of implementing Artificial Intelligence to predict clinical deterioration in adult hospitals: what is known and what remains uncertain.

OBJECTIVE: To identify factors influencing implementation of machine learning algorithms (MLAs) that predict clinical deterioration in hospitalized adult patients and relate these to a validated implementation framework. MATERIALS AND METHODS: A systematic review of studies of implemented or trialed real-time clinical deterioration prediction MLAs was undertaken, which identified: how MLA implementation was measured; impact of MLAs on clinical processes and patient outcomes; and barriers, enablers and uncertainties within the implementation process. Review findings were then mapped to the SALIENT end-to-end implementation framework to identify the implementation stages at which these factors applied. RESULTS: Thirty-seven articles relating to 14 groups of MLAs were identified, each trialing or implementing a bespoke algorithm. One hundred and seven distinct implementation evaluation metrics were identified. Four groups reported decreased hospital mortality, 1 significantly. We identified 24 barriers, 40 enablers, and 14 uncertainties and mapped these to the 5 stages of the SALIENT implementation framework. DISCUSSION: Algorithm performance across implementation stages decreased between in silico and trial stages. Silent plus pilot trial inclusion was associated with decreased mortality, as was the use of logistic regression algorithms that used less than 39 variables. Mitigation of alert fatigue via alert suppression and threshold configuration was commonly employed across groups. CONCLUSIONS: : There is evidence that real-world implementation of clinical deterioration prediction MLAs may improve clinical outcomes. Various factors identified as influencing success or failure of implementation can be mapped to different stages of implementation, thereby providing useful and practical guidance for implementers.

Tiered escalation response systems in practice: A post hoc analysis examining the workload implications.

Objective: Many rapid response systems now have multiple tiers of escalation in addition to the traditional single tier of a medical emergency team. Given that the benefit to patient outcomes of this change is unclear, we sought to investigate the workload implications of a multitiered system, including the impact of trigger modification. Design: The study design incorporated a post hoc analysis using a matched case-control dataset. Setting: The study setting was an acute, adult tertiary referral hospital. Participants: Cases that had an adverse event (cardiac arrest or unanticipated intensive care unit admission) or a rapid response team (RRT) call participated in the study. Controls were matched by age, gender, ward and time of year, and no adverse event or RRT call. Participants were admitted between May 2014 and April 2015. Main outcome measures: The main outcome measure were the number of reviews, triggers, and modifications across three tiers of escalation; a nurse review, a multidisciplinary review (MDT-admitting medical team review), and an RRT call. Results: There were 321 cases and 321 controls. Overall, there were 1948 nurse triggers, of which 1431 (73.5%) were in cases and 517 (26.5%) in controls, 798 MDT triggers (660 [82.7%] in cases and 138 [17.3%] in controls), and 379 RRT triggers (351 [92.6%] in cases and 28 [7.4%] in controls). Per patient per 24 h, there were 3.03 nurse, 1.24 MDT, and 0.59 RRT triggers. Accounting for modifications, this reduced to 2.17, 0.88, and 0.42, respectively. The proportion of triggers that were modified, so as not to trigger a review, was similar across all the tiers, being 28.6% of nurse, 29.6% of MDT, and 28.2% of RRT triggers. Per patient per 24 h, there were 0.61 nurse reviews, 0.52 MDT reviews, and 0.08 RRT reviews. Conclusions: Lower-tier triggers were more prevalent, and modifications were common. Modifications significantly mitigated the escalation workload across all tiers of a multitiered system.

Intensive care utilisation after elective surgery in Australia and New Zealand: getting the balance right.

Of the total intensive care unit (ICU) admissions in Australia and New Zealand, 36.6% occur following an elective surgical procedure. How best to use ICU services in this setting is not clear, despite this being an expensive and resource-intensive method of care delivery. The literature relating to this area has not demonstrated a clear association between improved outcomes and routine ICU utilisation. It has, however, demonstrated that methods of care delivery in this setting vary at the local, national and international level. There is now an increased interest in how we can offer safe, efficient care to patients who need ICU-level support after elective surgery, as well as where and when that care can be offered. We had previously performed a literature review relating to ICU utilisation in the elective surgical post-operative setting. This perspective piece arises from this literature review as well as extensive clinical experience from the authors. We discuss the need for a move towards an evidence-based indication for ICU admission and how this may be achieved. We then move on to the various alternative models of care that could be offered, briefly discussing their positives and potential drawbacks. We finish by outlining the research priorities and how these might be implemented in clinical practice. Getting the balance right between ICU admission and higher acuity ward-level care for post-operative elective surgical patients is difficult. However, this is an important challenge that we as a healthcare community must be working to answer.

Vital signs and medical emergency response (MER) activation predict in-hospital mortality in general surgery patients: a study of 15 969 admissions.

BACKGROUND: The applicability of the vital signs prompting medical emergency response (MER) activation has not previously been examined specifically in a large general surgical cohort. This study aimed to characterize the distribution, and predictive performance, of four vital signs selected based on Australian guidelines (oxygen saturation, respiratory rate, systolic blood pressure and heart rate); with those of the MER activation criteria. METHODS: A retrospective cohort study was conducted including patients admitted under general surgical services of two hospitals in South Australia over 2 years. Likelihood ratios for patients meeting MER activation criteria, or a vital sign in the most extreme 1% for general surgery inpatients (<0.5th percentile or > 99.5th percentile), were calculated to predict in-hospital mortality. RESULTS: 15 969 inpatient admissions were included comprising 2 254 617 total vital sign observations. The 0.5th and 99.5th centile for heart rate was 48 and 133, systolic blood pressure 85 and 184, respiratory rate 10 and 31, and oxygen saturations 89% and 100%, respectively. MER activation criteria with the highest positive likelihood ratio for in-hospital mortality were heart rate ≤ 39 (37.65, 95% CI 27.71-49.51), respiratory rate ≥ 31 (15.79, 95% CI 12.82-19.07), and respiratory rate ≤ 7 (10.53, 95% CI 6.79-14.84). These MER activation criteria likelihood ratios were similar to those derived when applying a threshold of the most extreme 1% of vital signs. CONCLUSIONS: This study demonstrated that vital signs within Australian guidelines, and escalation to MER activation, appropriately predict in-hospital mortality in a large cohort of patients admitted to general surgical services in South Australia.

Acute clinical deterioration and consumer escalation: The understanding and perceptions of hospital staff.

INTRODUCTION: Consumer escalation systems allow patients and families to escalate concerns about acute clinical deterioration. Hospital staff can impact upon the success of this process. As part of evaluation processes within a Local Health Network, where a consumer escalation system was introduced in accordance with National requirements, we sought to explore clinicians' understanding and perceptions of consumer escalation. METHODS: Voluntary and anonymous staff surveys pre, and post, system introduction. Quantitative data was analysed using descriptive statistics, chi-square independence, and non-parametric independent samples median tests. Qualitative data was evaluated using content analysis and cross-referenced with quantitative responses. RESULTS: Respondent's (pre: 215; post: 89) area of work varied significantly between survey periods. Most agreed that patients/families have a sound knowledge of a patient's typical health status (pre: 192/215 (89.3%); post 82/88 (93.2%)) and that patients/families should be encouraged to escalate concerns of deterioration to ward staff (pre: 209/212 (98.6%); post: 85/89 (95.5%)). Respondent perceptions of patient/family ability to recognise clinical deterioration varied. Staff agreement towards local response expectations decreased as the degree of clinical requirement increased. Staff concerns of increased workloads (pre: 90/214 (42.1%); post 12/72 (16.7%), p<0.001) and conflict generation (pre: 71/213 (33.3%); post: 7/71 (9.9%), p = 0.001) decreased significantly following system introduction. However, clinician perceptions of positive system effects also decreased (patient-staff rapport pre: 163/213 (76.5%); post: 38/72 (52.8%), p = 0.001; patient centred care pre: 188/214 (87.9%); post: 53/72 (73.6%), p = 0.012; patient safety pre: 173/214 (80.8%); post: 49/72 (68.1%), p = 0.077). Only 53% of respondents (pre: 112/213 (52.6%); post: 48/88 (54.5%)) perceived that patient/family have sufficient confidence to escalate concerns. CONCLUSION: Consumer escalation systems require staff support. Staff perceptions may indicate, and act as, barriers to the operation of consumer escalation processes. Further exploration in identifying and managing staff barriers is crucial to the success of consumer escalation.

Impact of a standardised rapid response system on clinical outcomes of female patients: an interrupted time series approach.

BACKGROUND: This study aimed to assess the impact of a standardised rapid response systems (the Between the Flags (BTF)) implemented across New South Wales (NSW), Australia, among female patients. METHODS: We conducted an interrupted time series (2007-2013) population-based linkage study including 5 114 170 female patient (≥18 years old) admissions in all 232 public hospitals in NSW. We studied changes in levels and trends of patient outcomes after BTF implementation among four age groups of female patients. RESULTS: Before the BTF system introduction (2007-2009), for the female patients as a whole, there was a progressive decrease in rates of in-hospital cardiopulmonary arrest (IHCA), IHCA-related mortality and hospital mortality for female patients. However, there were no changes in deaths in low-mortality diagnostic-related groups (DLMDRGs), IHCA survival to discharge and 1-year post-discharge mortality after surviving an IHCA. Only the female patients aged 55 years and older showed the same results as the whole sample. After the BTF programme (2010-2013), the same trends (except for DLMDRG) continued for female patients as a whole and for those aged 55 years or older. There was a significant reduction in DLMDRG among female patients aged 35-54 years (p<0.001), those aged 75 years and over (p<0.05) and female patients as a whole (p<0.05). The decreasing secular trend of surviving an IHCA to hospital discharge before the BTF system (p<0.05) among patients aged 18-34 years old was reversed after the BTF implementation (p<0.01). CONCLUSIONS: For female patients the BTF programme introduction was associated with continued reductions in the rates of IHCA, IHCA-related mortality and hospital mortality, as well as a new reduction in DLMDRG for 35-54 years old patients and those aged 75 years and older, and increased survival for those aged 18-34 years who had suffered an IHCA.

Protocol describing a systematic review and mixed methods consensus process to define the deteriorated ward patient.

INTRODUCTION: Most patients admitted to hospital recover with treatments that can be administered on the general ward. A small but important group deteriorate however and require augmented organ support in areas with increased nursing to patient ratios. In observational studies evaluating this cohort, proxy outcomes such as unplanned intensive care unit admission, cardiac arrest and death are used. These outcome measures introduce subjectivity and variability, which in turn hinders the development and accuracy of the increasing numbers of electronic medical record (EMR) linked digital tools designed to predict clinical deterioration. Here, we describe a protocol for developing a new outcome measure using mixed methods to address these limitations. METHODS AND ANALYSIS: We will undertake firstly, a systematic literature review to identify existing generic, syndrome-specific and organ-specific definitions for clinically deteriorated, hospitalised adult patients. Secondly, an international modified Delphi study to generate a short list of candidate definitions. Thirdly, a nominal group technique (NGT) (using a trained facilitator) will take a diverse group of stakeholders through a structured process to generate a consensus definition. The NGT process will be informed by the data generated from the first two stages. The definition(s) for the deteriorated ward patient will be readily extractable from the EMR. ETHICS AND DISSEMINATION: This study has ethics approval (reference 16399) from the Central Adelaide Local Health Network Human Research Ethics Committee. Results generated from this study will be disseminated through publication and presentation at national and international scientific meetings.

Acute clinical deterioration and consumer escalation in the hospital setting: A literature review.

BACKGROUND: Consumer escalation systems that allow patients and/or their family/carers to escalate concerns about clinical deterioration have been proposed as a way of enhancing patient safety. However, evidence to guide implementation or to support system effectiveness remains unclear. AIM: To critically evaluate the current evidence surrounding consumer escalation within the context of clinical deterioration to identify the strengths, weaknesses and gaps in existing knowledge, essential themes, and directions for further investigation. METHOD: Database searches were conducted within Cumulative Index of Nursing and Allied Health Literature, PubMed, and the Cochrane Library for articles directly relating to consumer escalation systems published, in English, within the previous 10 year-period. Titles and abstracts were screened and relevant full-text articles included. Content was examined to identify breadth of knowledge, essential themes, and the effectiveness of current systems. RESULTS: 27 articles, containing a mixture of both quantitative and qualitative findings, were identified. Within the context of limitations in the overall depth and quality of current evidence, four key areas (relating to consumer understanding and awareness of clinical deterioration, confidence and ability to escalate concerns, education, and staff attitudes) were identified as potentially critical to the foundation, functioning, and success of consumer escalation systems. Consumer escalation processes may contribute positive effects beyond mortality rates; however, an agreed method of assessing effectiveness remains undetermined. CONCLUSIONS: The ability of consumer escalation processes to achieve their underlying goals is still to be adequately assessed. Further research is required to inform how to best implement, support and optimise consumer escalation systems.

The effectiveness of a standardised rapid response system on the reduction of cardiopulmonary arrests and other adverse events among emergency surgical admissions.

AIM: A standardised rapid response system (RRS), called the "Between-the-Flags" (BTF) program, was implemented across a large health jurisdiction in Australia in 2010. The impact of RRS on emergency surgical admissions is unknown. METHODS: We linked the NSW Admitted Patient Data Collection (APDC) and the NSW Registry of Births, Deaths, and Marriages. We used a propensity score-based inverse-probability-weighting adjustment to estimated average treatment effects among treated subjects (prior-RRS hospitals vs prior-non-RRS hospitals) before the BTF implementation (2007-2008) and after (2010-2013). RESULTS: Before BTF, prior-RRS hospitals had a lower rate of in hospital cardiopulmonary arrests (IHCA) (4.7 vs 7.8 per 1000 admissions, P < 0.001), a lower rate of IHCA related deaths (3.0 vs 4.4 per 1000 admissions, P = 0.03) compared with patients in prior-non-RRS hospitals. There were no significant differences in overall in-hospital mortality and 30-day mortality between the two cohorts. After BTF, there were no significant differences for IHCA (4.8 vs 5.5 per 1000 admissions, P = 0.081) and related death rates (2.4 vs 2.3 per 1000 admissions, P = 0.678) between the two cohorts. Hospital mortality, 30-day mortality improved across both prior-RRS and prior-non-RRS hospitals following the BTF implementation. CONCLUSION: BTF program was associated with a significant reduction in IHCA and IHCA deaths for emergency surgical patients in prior-non-RRS hospitals but not in the prior-RRS hospitals. The overall hospital and 30-day mortality improved in both cohorts after BTF.

The relationship between early emergency team calls and serious adverse events.

OBJECTIVE: To examine the relationship between early emergency team calls and the incidence of serious adverse events--cardiac arrests, deaths, and unplanned admissions to an intensive care unit--in a cluster randomized controlled trial of medical emergency team implementation (the MERIT study). DESIGN: Post hoc analysis of data from cluster randomized controlled trial. SETTING AND PARTICIPANTS: Twenty-three public hospitals in Australia and 741,744 patients admitted during the conduct of the study. INTERVENTIONS: Attendance by a rapid response system team or cardiac arrest team. MAIN OUTCOME MEASURES: The relationship between the proportion of rapid response system team calls that were early emergency team calls (defined as calls not associated with cardiac arrest or death) and the rate (events/1000 admissions) of the adverse events. RESULTS: We analyzed 11,242 serious adverse events and 3700 emergency team calls. For every 10% of increase in the proportion of early emergency team calls there was a 2.0 reduction per 10,000 admissions in unexpected cardiac arrests (95% confidence interval [CI] -2.6 to -1.4), a 2.2 reduction in overall cardiac arrests (95% CI -2.9 to -1.6), and a 0.94 reduction in unexpected deaths (95% CI -1.4 to -0.5). We found no such relationship for unplanned intensive care unit admissions or for the aggregate of unexpected cardiac arrests, unplanned intensive care unit admissions, and unexpected deaths. CONCLUSIONS: As the proportion of early emergency team calls increases, the rate of cardiac arrests and unexpected deaths decreases. This inverse relationship provides support for the notion that early review of acutely ill ward patients by an emergency team is desirable.

The impact of introducing medical emergency team system on the documentations of vital signs.

OBJECTIVE: To study the rate of documentation of vital signs in the period before the occurrence of an adverse event or emergency team call and to measure the effect of introducing the medical emergency team (MET) system on the rate of such documentation. METHODS: During a cluster, randomised trial of the MET in 23 Australian hospitals, we collected the data on lowest systolic blood pressure, highest and lowest respiratory rate and heart rate from 15min to 24h before an adverse event (cardiac arrest, death or unexpected intensive care unit admission) or emergency team call. We derived the document of these vital signs (yes/no) from the numerical values recorded. We used analytically weighted and random-effect regression models to examine the association between non-documented (missing) vital signs, hospital characteristics and MET allocation, and to examine their trend over time. RESULTS: We found marked variability in documentation, with a high proportion of missing vital signs in some hospitals. Close to 77% of patients suffering adverse events had at least one vital sign missing immediately before the event. Allocation to a MET system was associated with significantly increased documentation of respiratory rate and blood pressure before emergency team review (P<0.01) as well as an improvement in documentation over time (P<0.01). At all stages and for both MET and control hospitals, the respiratory rate was the least commonly documented vital sign (P<0.01). CONCLUSIONS: The documentation of vital signs in the period before adverse events was commonly incomplete with a particular deficiency in the documentation of the respiratory rate. Introduction of a MET system was associated with improvement in the rate of documentation of vital signs.

The Medical Emergency Team System and not-for-resuscitation orders: results from the MERIT study.

OBJECTIVE: To examine NFR orders in relation to adverse events and emergency team calls in hospitals with or without a Medical Emergency Team (MET) system during the MERIT study. METHOD: Within a cluster randomized controlled trial (the MERIT study), examining the effect of introducing a MET system, we recorded NFR orders in relation to adverse events and emergency team calls. We compared the proportion and rate of NFR orders issued in relation to "adverse events" and "adverse event-free emergency team calls" in hospitals with or without a MET system. RESULTS: Information on NFR orders was available for 3650 patients who died, 1466 patients who had an unplanned ICU admission, 574 patients who suffered a cardiac arrest and 1529 patients who had a adverse event-free emergency team call. Close to 90% of deaths occurred in patients with a previously documented NFR order. Only approximately 4% of cardiac arrests had a previously documented NFR order. In patients with unplanned ICU admission, NFR orders were present in approximately 3% of cases. An NFR order was issued at the time of an "event" in 3.85% of cases in MET hospitals compared with 1.72% in control hospitals (OR=2.29; 95% CI: 1.31-4.01; p=0.005). This difference was mostly due to a greater proportion of patients being made NFR in MET hospitals at the time of a "adverse event-free" emergency team call (7.96% vs. 3.05%; OR=2.75; 95% CI: 0.97-7.80; p=0.048). The number of NFR orders issued at the time of a serious adverse event-free emergency team call was 10 times higher in MET hospitals (0.398 vs. 0.041 per 1000 admissions; weighted absolute risk difference: 0.49 (95% CI: 0.20-0.78; p=0.002). Multivariate models could only account for less than 50% of the variance in the issuing of NFR orders. CONCLUSIONS: In a cohort of Australian hospitals, most deaths occurred in patients with a previously documented NFR order but NFR orders were uncommon before cardiac arrest calls or unplanned ICU admissions. During the conduct of a cluster randomised controlled trial, more NFR orders were issued by emergency teams in those hospitals that implemented a MET system than in control hospitals. MET allocation, teaching hospital status, number of hospital beds and metropolitan location could only explain less than 50% of variance in NFR orders.