Recognising clinical instability in hospital patients before cardiac arrest or unplanned admission to intensive care. A pilot study in a tertiary-care hospital

Continuous monitoring in an inpatient medical-surgical unit: a controlled clinical trial

BACKGROUND

For hospitalized patients with unexpected clinical deterioration, delayed or suboptimal intervention is associated with increased morbidity and mortality. Lack of continuous monitoring for average-risk patients has been suggested as a contributing factor for unexpected in-hospital mortality. Our objective was to assess the effects of continuous heart rate and respiration rate monitoring in a medical-surgical unit on unplanned transfers and length of stay in the intensive care unit and length of stay in the medical-surgical unit.

METHODS

In a controlled study, we have compared a 33-bed medical-surgical unit (intervention unit) to a "sister" control unit for a 9-month preimplementation and a 9-month postimplementation period. Following the intervention, all beds in the intervention unit were equipped with monitors that allowed for continuous assessment of heart and respiration rate.

RESULTS

We reviewed 7643 patient charts: 2314 that were continuously monitored in the intervention arm and 5329 in the control arms. Comparing the average length of stay of patients hospitalized in the intervention unit following the implementation of the monitors to that before the implementation and to that in the control unit, we observed a significant decrease (from 4.0 to 3.6 and 3.6 days, respectively; P <.05). Total intensive care unit days were significantly lower in the intervention unit postimplementation (63.5 vs 120.1 and 85.36 days/1000 patients, respectively; P = .04). The rate of transfer to the intensive care unit did not change, comparing before and after implementation and to the control unit (P = .19). Rate of code blue events decreased following the intervention from 6.3 to 0.9 and 2.1, respectively, per 1000 patients (P = .02).

CONCLUSIONS

Continuous monitoring on a medical-surgical unit was associated with a significant decrease in total length of stay in the hospital and in intensive care unit days for transferred patients, as well as lower code blue rates.

Effect of a rapid response team on patient outcomes in a community-based teaching hospital

BACKGROUND

Rapid response teams have been adopted across hospitals to reduce the rate of inpatient cardiopulmonary arrest. Yet, data are not uniform on their effectiveness across university and community settings.

OBJECTIVE

The objective of our study was to determine the impact of rapid response teams on patient outcomes in a community teaching hospital with 24/7 resident coverage.

METHODS

Our retrospective chart review of preintervention-postintervention data included all patients admitted between January 2004 and April 2006. Rapid response teams were initiated in March 2005. The outcomes of interest were inpatient mortality, unexpected transfer to the intensive care unit, code blue (cardiac or pulmonary arrest) per 1000 discharges, and length of stay in the intensive care unit.

RESULTS

Rapid response teams were activated 213 times during the intervention period. There was no statistically significant difference in inpatient mortality (3.13% preintervention versus 2.91% postintervention), code blue calls (3.09 versus 2.89 per 1000 discharges), or unexpected transfers of patients to the intensive care unit (15.8% versus 15.5%).

CONCLUSIONS

The implementation of a rapid response team did not appear to affect overall mortality and code blue calls in a community-based hospital with 24/7 resident coverage.

Delayed medical emergency team calls and associated outcomes

OBJECTIVE

To determine whether there was an association between delayed medical emergency team calls and mortality after a medical emergency team review.

DESIGN

This was a prospective observational study.

SETTING

A university-affiliated tertiary referral hospital in Porto Alegre, Brazil.

PATIENTS

All patients were reviewed by the medical emergency team from July 2008 to December 2009.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

There were 1,481 calls for 1,148 patients. Delayed medical emergency team calls occurred for 246 patients (21.4%). The criterion associated with delay was typically the same criterion for the subsequent medical emergency team call. Physicians had a greater prevalence of delayed medical emergency team calls (110 of 246 [44.7%]) than timely medical emergency team calls (267 of 902 [29.6%]; p < 0.001). The mortality at 30 days after medical emergency team review was higher among patients with delayed medical emergency team activation (152 [61.8%]) than patients receiving timely medical emergency team activation (378 [41.9%]; p < 0.001). In a multivariate analysis, delayed medical emergency team calls remained significantly associated with higher mortality.

CONCLUSIONS

Delayed medical emergency team calls are common and are independently associated with higher mortality. This result reaffirms the concept and need for a rapid response system.

Widely used track and trigger scores: are they ready for automation in practice?

INTRODUCTION

Early Warning Scores (EWS) are widely used for early recognition of patient deterioration. Automated alarm/alerts have been recommended as a desirable characteristic for detection systems of patient deterioration. We undertook a comparative analysis of performance characteristics of common EWS methods to assess how they would function if automated.

METHODS

We evaluated the most widely used EWS systems (MEWS, SEWS, GMEWS, Worthing, ViEWS and NEWS) and the Rapid Response Team (RRT) activation criteria in use in our institution. We compared their ability to predict the composite outcome of Resuscitation call, RRS activation or unplanned transfer to the ICU, in a time-dependent manner (3, 8, 12, 24 and 36 h after the observation) by determining the sensitivity, specificity and positive predictive values (PPV). We used a large vital signs database (6,948,689 unique time points) from 34,898 unique consecutive hospitalized patients.

RESULTS

PPVs ranged from less than 0.01 (Worthing, 3 h) to 0.21 (GMEWS, 36 h). Sensitivity ranged from 0.07 (GMEWS, 3 h) to 0.75 (ViEWS, 36 h). Used in an automated fashion, these would correspond to 1040-215,020 false positive alerts per year.

CONCLUSIONS

When the evaluation is performed in a time-sensitive manner, the most widely used weighted track-and-trigger scores do not offer good predictive capabilities for use as criteria for an automated alarm system. For the implementation of an automated alarm system, better criteria need to be developed and validated before implementation.

Reduced frequency of cardiopulmonary arrests by rapid response teams

OBJECTIVE

To evaluate the impact of the implementation of a rapid response team on the rate of cardiorespiratory arrests in mortality associated with cardiorespiratory arrests and on in-hospital mortality in a high complexity general hospital.

METHODS

A retrospective analysis of cardiorespiratory arrests and in-hospital mortality events before and after implementation of a rapid response team. The period analyzed covered 19 months before intervention by the team (August 2005 to February 2007) and 19 months after the intervention (March 2007 to September 2008).

RESULTS

During the pre-intervention period, 3.54 events of cardiorespiratory arrest/1,000 discharges and 16.27 deaths/1,000 discharges were noted. After the intervention, there was a reduction in the number of cardiorespiratory arrests and in the rate of in-hospital mortality; respectively, 1.69 events of cardiorespiratory arrest/1,000 discharges (p < 0.001) and 14.34 deaths/1,000 discharges (p = 0.029).

CONCLUSION

The implementation of the rapid response team may have caused a significant reduction in the number of cardiorespiratory arrests. It was estimated that during the period from March 2007 to September 2008, the intervention probably saved 67 lives.

Recognition of clinical deterioration: a clinical leadership opportunity for nurse executive

Recognition and avoidance of further clinical deterioration can be termed a critical success factor in every care delivery model. As care resources become more constrained and allocated to the most critical of patients, some patients are being shifted to less intense and costly care settings where continuous physiologic monitoring may not be an option. Nurse executives are facing these complex issues as they work with clinical experts to develop systems of safety in the patient care arena. A systematic review of the literature related to the recognition of clinical deterioration is needed to identify areas for further leadership, research, and practice advancements.

Development of a ubiquitous clinical monitoring solution to improve patient safety and outcomes

This paper highlights the main findings of an integrated and ubiquitous remote wireless based vital signs monitoring solution as trialed in a clinical setting. Results demonstrate the feasibility of utilising a Wi-Fi based solution to monitor early-warning signs such as impedance-based respiration rate changes, heart rate/ECG events, temperature, and motion analysis in a clinical setting and act as an early warning system.

Advances in recognition, resuscitation, and stabilization of the critically ill child

Advances in early recognition, effective response, and high-quality resuscitation before, during, and after cardiac arrest have resulted in improved survival for infants and children over the past 10 years. This review addresses several key factors that can make a difference in survival outcomes, including the etiology of pediatric cardiac arrests in and out of hospital, mechanisms and techniques of circulation of blood flow during cardiopulmonary resuscitation (CPR), quality of CPR, meticulous postresuscitative care, and effective training. Monitoring and quality improvement of each element in the system of resuscitation care are increasingly recognized as key factors in saving lives.

Republished: paediatric early warning scores: Holy Grail and Achilles' heel

Early Warning Scores (EWS) have become increasingly used by hospitals throughout the world to prevent unexpected admission to intensive care or even death in their inpatient population. It is well known that signs of deterioration are present well before collapse and by a combination of systems, EWS enable healthcare professionals to intervene at an appropriate time. A number of national bodies and regulators in the UK have required the use of Early Warning Scores in locations where children are inpatients. This article attempts to describe the background to their development, identify common problems and provide information for units interested in introducing an EWS into their department.

The impact structured patient assessment frameworks have on patient care: an integrative review

AIMS AND OBJECTIVES

To evaluate structured patient assessment frameworks' impact on patient care.

BACKGROUND

Accurate patient assessment is imperative to determine the status and needs of the patient and the delivery of appropriate patient care. Nurses must be highly skilled in conducting timely and accurate patient assessments to overcome environmental obstacles and deliver quality and safe patient care. A structured approach to patient assessment is widely accepted in everyday clinical practice, yet little is known about the impact structured patient assessment frameworks have on patient care.

DESIGN

Integrative review.

METHODS

An electronic database search was conducted using Cumulative Index to Nursing and Allied Health Literature, Medical Literature Analysis and Retrieval System, PubMed and ProQuest Dissertations and Theses. The reference sections of textbooks and journal articles on patient assessment were manually searched for further studies. A comprehensive peer review screening process was undertaken. Research studies were selected that evaluated the impact structured patient assessment frameworks have on patient care. Studies were included if frameworks were designed for use by paramedics, nurses or medical practitioners working in prehospital or acute in-hospital settings.

RESULTS

Twelve studies met the inclusion criteria. There were no studies that evaluate the impact of a generic nursing assessment framework on patient care. The use of a structured patient assessment framework improved clinician performance of patient assessment. Limited evidence was found to support other aspects of patient care including documentation, communication, care implementation, patient and clinician satisfaction, and patient outcomes.

CONCLUSION

Structured patient assessment frameworks enhance clinician performance of patient assessment and hold the potential to improve patient care and outcomes; however, further research is required to address these evidence gaps, particularly in nursing.

RELEVANCE TO CLINICAL PRACTICE

Acute care clinicians should consider using structured patient assessment frameworks in clinical practice to enhance their performance of patient assessment.

Blunt chest wall trauma: A review

Blunt chest wall trauma accounts for a large proportion of all trauma presentations to the Emergency Departments in the United Kingdom and has a high reported incidence of morbidity and mortality. The difficulty in the assessment and management of this patient group arises from the possibility that the patient may develop potentially life-threatening complications up to approximately 72 h post-injury, even in patients who have sustained what is initially considered a minor injury. Limited consensus currently exists in the literature regarding optimal assessment or management strategies for this patient group. The aim of this review is to provide an overview of current research investigating the optimal assessment and management strategies for the blunt chest wall trauma patient.

The implementation of PEARS training: supporting nurses in non-critical care settings to improve patient outcomes

Children's Hospital Boston's Life Support Program began offering the newly developed American Heart Association Pediatric Emergency Assessment, Recognition and Stabilization (PEARS) course for nurses working in non-critical care settings in December of 2007. The goal was to provide an appropriate alternative to pediatric advanced life support (PALS) training for clinical staff caring for the general pediatric population. To date, more than 900 nurses have completed the course with feedback from the participants being extremely positive. Even more impressive is a more appropriate use of the hospital's emergency medical response system promoting early intervention and the significant reduction in cardiac arrests on inpatient units. During a 12-month period, nurses involved in activations of the response system were asked to rate their ability to assess, categorize, decide and act after each event. The overwhelming majority agreed they were able to apply the PEARS systematic approach of assessment and early intervention to the situation. This article describes the planning and implementation of PEARS training for non-critical care nursing staff and provides data that demonstrates improved patient outcomes. Supporting activities and strategies promoting early recognition and interventions contributing to the successful reduction of cardiac arrests on inpatient units are also discussed.

Rapid-response systems as a patient safety strategy: a systematic review

Rapid-response systems (RRSs) are a popular intervention in U.S. hospitals and are supported by accreditors and quality improvement organizations. The purpose of this review is to evaluate the effectiveness and implementation of these systems in acute care settings. A literature search was performed between 1 January 2000 through 30 October 2012 using PubMed, PsycINFO, CINAHL, and the Cochrane Central Register of Controlled Trials. Studies published in any language evaluating outcome changes that occurred after implementing an RRS and differences between groups using and not using an RRS (effectiveness) or describing methods used by RRSs (implementation) were reviewed. A single reviewer (checked by a second reviewer) abstracted data and rated study quality and strength of evidence. Moderate-strength evidence from a high-quality meta-analysis of 18 studies and 26 lower-quality before-and-after studies published after that meta-analysis showed that RRSs are associated with reduced rates of cardiorespiratory arrest outside of the intensive care unit and reduced mortality. Eighteen studies examining facilitators of and barriers to implementation suggested that the rate of use of RRSs could be improved.

Predicting out of intensive care unit cardiopulmonary arrest or death using electronic medical record data

Background

Accurate, timely and automated identification of patients at high risk for severe clinical deterioration using readily available clinical information in the electronic medical record (EMR) could inform health systems to target scarce resources and save lives.

Methods

We identified 7,466 patients admitted to a large, public, urban academic hospital between May 2009 and March 2010. An automated clinical prediction model for out of intensive care unit (ICU) cardiopulmonary arrest and unexpected death was created in the derivation sample (50% randomly selected from total cohort) using multivariable logistic regression. The automated model was then validated in the remaining 50% from the total cohort (validation sample). The primary outcome was a composite of resuscitation events, and death (RED). RED included cardiopulmonary arrest, acute respiratory compromise and unexpected death. Predictors were measured using data from the previous 24 hours. Candidate variables included vital signs, laboratory data, physician orders, medications, floor assignment, and the Modified Early Warning Score (MEWS), among other treatment variables.

Results

RED rates were 1.2% of patient-days for the total cohort. Fourteen variables were independent predictors of RED and included age, oxygenation, diastolic blood pressure, arterial blood gas and laboratory values, emergent orders, and assignment to a high risk floor. The automated model had excellent discrimination (c-statistic=0.85) and calibration and was more sensitive (51.6% and 42.2%) and specific (94.3% and 91.3%) than the MEWS alone. The automated model predicted RED 15.9 hours before they occurred and earlier than Rapid Response Team (RRT) activation (5.7 hours prior to an event, p=0.003)

Conclusion

An automated model harnessing EMR data offers great potential for identifying RED and was superior to both a prior risk model and the human judgment-driven RRT.

Defining clinical deterioration

OBJECTIVES

To review literature reporting adverse events and physiological instability in order to develop frameworks that describe and define clinical deterioration in hospitalised patients.

METHODS

Literature review of publications from 1960 to August 2012. Conception and refinement of models to describe clinical deterioration based on prevailing themes that developed chronologically in adverse event literature.

RESULTS

We propose four frameworks or models that define clinical deterioration and discuss the utility of each. Early attempts used retrospective chart review and focussed on the end result of deterioration (adverse events) and iatrogenesis. Subsequent models were also retrospective, but used discrete complications (e.g. sepsis, cardiac arrest) to define deterioration, had a more clinical focus, and identified the concept of antecedent physiological instability. Current models for defining clinical deterioration are based on the presence of abnormalities in vital signs and other clinical observations and attempt to prospectively assist clinicians in predicting subsequent risk. However, use of deranged vital signs in isolation does not consider important patient-, disease-, or system-related factors that are known to adversely affect the outcome of hospitalised patients. These include pre-morbid function, frailty, extent and severity of co-morbidity, nature of presenting illness, delays in responding to deterioration and institution of treatment, and patient response to therapy.

CONCLUSION

There is a need to develop multiple-variable models for deteriorating ward patients similar to those used in intensive care units. Such models may assist clinician education, prospective and real-time patient risk stratification, and guide quality improvement initiatives that prevent and improve response to clinical deterioration.

How nurses and physicians judge their own quality of care for deteriorating patients on medical wards: self-assessment of quality of care is suboptimal*

OBJECTIVE

To describe how nurses and physicians judge their own quality of care for deteriorating patients on medical wards compared with the judgment of independent experts.

DESIGN

Cross-sectional study using interviews of care-providers regarding their perceived quality of care for clinically deteriorating patients compared with retrospective judgment by independent experts.

SETTING

Academic Medical Center of Amsterdam, the Netherlands.

PATIENTS

Between April and July 2009, all patients with cardiopulmonary arrests and unplanned intensive care unit admissions from six medical nursing wards were included. The care-providers (nurses and physicians) taking care of these patients in the previous 12 hrs were included.

MEASUREMENTS AND MAIN RESULTS

Forty-seven events and 198 interviews were analyzed. Skill and knowledge level regarding the recognition of a deteriorating patient were rated on a scale of 1-10 with means (SD) of 7.9 (0.8) and 7.7 (0.9), respectively. Nurses and residents attributed coordination of care largely to themselves (74% and 76%, respectively). Communication, cooperation, and coordination were graded in a positive manner (medians between 7.3 and 8), whereas the medical staff graded these factors higher compared to the grading by nurses and residents. Negative predictive values regarding the presence of a delay compared with an expert panel was 37% for nurses and 38% for residents and specialists.

CONCLUSIONS

Care-providers mostly rate their care provided to patients in the hours preceding a life-threatening adverse event as good. In contrast, independent experts had a more critical appraisal of the provided care in regards to timely recognition. These findings may partly explain the reluctance of care-providers to implement patient safety initiatives.

A theoretically informed education program designed specifically for acute surgical nurses

AIM

The aim of the research was to evaluate the effectiveness of implementing the Respiratory Skills Update (ReSKU) education program using integrated teaching and learning strategies, in the context of organisational utility, on improving surgical nurses' practice in the area of respiratory assessment.

BACKGROUND

Technological advances and changes in healthcare delivery have necessitated that nurse educators adopt innovative teaching and learning strategies to better prepare acute care nurses for their increasingly complex roles. This 2007 study used a robust overarching theoretical framework to develop and evaluate an educational model using the ReSKU program as a basis for the content.

METHODS

The study was conducted in a 400 bed regional referral public hospital, in Australia. The research was guided by the work of Forneris (2004) to operationalise a critical thinking process incorporating the complexities of the clinical context. The theoretical framework used multi-modal, interactive educational strategies that were learner-centred and participatory. These strategies aimed to engage the clinician in dynamic thinking processes in clinical practice situations guided by coaches and educators.

CONCLUSION

The construct of critical thinking in practice combined with clinical reasoning and purposeful and collective reflection is a powerful educational strategy to enhance competency and capability in clinicians.

Early recognition of acutely deteriorating patients in non-intensive care units: assessment of an innovative monitoring technology

BACKGROUND

Continuous vital sign monitoring has the potential to detect early clinical deterioration. While commonly employed in the intensive care unit (ICU), accurate and noninvasive monitoring technology suitable for floor patients has yet to be used reliably.

OBJECTIVE

To establish the accuracy of the Earlysense continuous monitoring system in predicting clinical deterioration.

DESIGN

Noninterventional prospective study with retrospective data analysis.

SETTING

Two medical wards in 2 academic medical centers.

PATIENTS

Patients admitted to a medical ward with a diagnosis of an acute respiratory condition.

INTERVENTION

Enrolled patients were monitored for heart rate (HR) and respiration rate (RR) by the Earlysense monitor with the alerts turned off.

MEASUREMENTS

Retrospective analysis of vital sign data was performed on a derivation cohort to identify optimal cutoffs for threshold and 24-hour trend alerts. This was internally validated through correlation with clinical events recognized through chart review.

RESULTS

Of 113 patients included in the study, 9 suffered major clinical deterioration. Alerts were found to be infrequent (2.7 and 0.2 alerts per patient-day for threshold and trend alert, respectively). For the threshold alerts, sensitivity and specificity in predicting deterioration was found to be 82% and 67%, respectively, for HR and 64% and 81%, respectively, for RR. For trend alerts, sensitivity and specificity were 78% and 90% for HR, and 100% and 64% for RR, respectively.

CONCLUSIONS

The Earlysense monitor was able to continuously measure RR and HR, providing low alert frequency. The current study provides data supporting the ability of this system to accurately predict patient deterioration.

Predicting clinical deterioration in the hospital: the impact of outcome selection

BACKGROUND

Clinical deterioration of ward patients can result in intensive care unit (ICU) transfer, cardiac arrest (CA), and/or death. These different outcomes have been used to develop and test track and trigger systems, but the impact of outcome selection on the performance of prediction algorithms is unknown.

METHODS

Patients hospitalized on the wards between November 2008 and August 2011 at an academic hospital were included in the study. Ward vital signs and demographic characteristics were compared across outcomes. The dataset was then split into derivation and validation cohorts. Logistic regression was used to derive four models (one per outcome and a combined outcome) for predicting each event within 24h of a vital sign set. The models were compared in the validation cohort using the area under the receiver operating characteristic curve (AUC).

RESULTS

A total of 59,643 patients were included in the study (including 109 ward CAs, 291 deaths, and 2638 ICU transfers). Most mean vital signs within 24h of the events differed statistically, with those before death being the most deranged. Validation model AUCs were highest for predicting mortality (range 0.73-0.82), followed by CA (range 0.74-0.76), and lowest for predicting ICU transfer (range 0.68-0.71).

CONCLUSIONS

Despite differences in vital signs before CA, ICU transfer, and death, the different models performed similarly for detecting each outcome. Mortality was the easiest outcome to predict and ICU transfer the most difficult. Studies should be interpreted with these differences in mind.

Factors associated with delayed activation of medical emergency team and excess mortality: an Utstein-style analysis

AIM

We used the Utstein template, with special reference to patients having automated patient monitoring, and studied the factors which are associated with delayed medical emergency team (MET) activation and increased hospital mortality.

DESIGN AND SETTING

A prospective observational study in a tertiary hospital with 45 of 769 general ward beds (5.9%) equipped with automated monitoring.

COHORT

569 MET reviews for 458 patients.

RESULTS

Basic MET review characteristics were comparable to literature. We found that 41% of the reviews concerned monitored ward patients. These patients' vitals had been more frequently documented during the 6h period preceding MET activation compared to patients in normal ward areas (96% vs. 74%, p<0.001), but even when adjusted to the documentation frequency of vitals, afferent limb failure (ALF) occurred more often among monitored ward patients (81% vs. 53%, p<0.001). In MET population, factors associated with increased hospital mortality were non-elective hospital admission (OR 6.25, 95% CI 2.77-14.11), not-for-resuscitation order (3.34, 1.78-6.35), ICD XIV genitourinary diseases (2.42, 1.16-5.06), ICD II neoplasms (2.80, 1.59-4.91), age (1.02, 1.00-1.04), preceding length of hospital stay (1.04, 1.01-1.07), ALF (1.67, 1.02-2.72) and transfer to intensive care (1.85, 1.05-3.27).

CONCLUSIONS

Documentation of vital signs before MET activation is suboptimal. Documentation frequency seems to increase if automated monitors are implemented, but our results suggest that benefits of intense monitoring are lost without appropriate and timely interventions, as afferent limb failure, delay to call MET when predefined criteria are fulfilled, was independently associated to increased hospital mortality.

A two-class approach to the detection of physiological deterioration in patient vital signs, with clinical label refinement

Hospital patient outcomes can be improved by the early identification of physiological deterioration. Automatic methods of detecting patient deterioration in vital-sign data typically attempt to identify deviations from assumed normal physiological conditions, which is a one-class approach to classification. This paper investigates the use of a two-class approach, in which abnormal physiology is modelled explicitly. The success of such a method relies on the accuracy of data labels provided by clinical experts, which may be incomplete (due to large dataset size) or imprecise (due to clinical labels covering intervals, rather than each data point within those intervals). We propose a novel method of refining clinical labels such that the two-class classification approach may be adopted for identifying patient deterioration. We demonstrate the effectiveness of the proposed methods using a large dataset acquired in a 24-bed hospital step-down unit.

Efficacy of a rapid response team on reducing the incidence and mortality of unexpected cardiac arrests

Background

Rapid Response Teams (RRTs) assess patients during early phases of deterioration to reduce patient morbidity and mortality.

Objectives

This study aimed to evaluate the ability of earlier medical intervention by a RRT prompted by clinical instability in patients to reduce the incidence of and mortality from unexpected cardiac arrest at our hospital.

Patients and Methods

A nonrandomized, population-based study before 2008 and after 2010 introduction of the Rapid Response Teams in a 300 bed private hospital. All patients were admitted to the hospital in 2008 (n = 25348) and 2010 (n = 28024). RRT (One doctor, one senior intensive care nurse and one staff nurse) attended to clinically unstable patients immediately with resuscitation drugs, fluid, and equipment. Response was activated by the bedside nurse or doctor according to predefined criteria. Main outcome measures were incidence and outcome of unexpected cardiac arrest.

Results

The incidence of unexpected cardiac arrest was 17 per 1000 hospital admissions (431 cases) in 2008 (before RRT intervention) and 12.45 per 1000 admissions (349 cases) in 2010 (after intervention), with mortality being 73.23% (274 patients) and 66.15% (231 patients) respectively. After adjustment for case mix the intervention was associated with a 19% reduction in the incidence of unexpected cardiac arrest (odds ratio 0.81, 95% confidence interval 0.65-0.98).

Conclusions

The RRT was able to detect preventable adverse events and reduce the mortality and incidence of unexpected cardiac arrests.

Differences in outcomes between ICU attending and senior resident physician led medical emergency team responses

INTRODUCTION

Although rapid response systems (RRS) have been shown to decrease the incidence of cardiac arrest (CA), there are no studies evaluating optimal staffing. We hypothesize that there are no outcome differences between ICU physician and senior resident led events.

METHODS

A retrospective study of the RRS database at a single, academic hospital was performed from July 1, 2006 to May 31, 2010. Surgical patients and those in the ICU were excluded. Daytime (D) was defined as 7 am-5 pm Monday through Friday, and weekends were defined as 5 pm on Friday to 6:59 am on Monday. The nurse to patient ratio is constant during all shifts. An ICU physician leads daytime events on weekdays whereas night/weekend (NW) events are led by residents. NW events were compared against D events using chi square or Fischer's exact test. Significance was defined as p<0.05.

RESULTS

A total of 1404 events were reviewed with 534 (38%) D and 870 (62%) NW events. Respiratory and staff concerns were more likely during NW compared to D (50% vs. 39% and 46% vs. 34%, p<0.001, respectively). Following RRS activation, no difference was noted between D and NW periods in the incidence of progression to CA, transfer to ICU, or hospital mortality. Invasive procedures were more common in the NW period.

CONCLUSION

Resident-led RRS may have similar outcomes to attending intensivist led events. Prospective studies are needed to determine the ideal team composition.

Medical emergency team response for the non-hospitalized patient

OBJECTIVES

Rapid response systems (RRS) evolved to care for deteriorating hospitalized patients outside of the ICU. However, emergent critical care needs occur suddenly and unexpectedly throughout the hospital campus, including areas with non-hospitalized persons. The efficacy of RRS in this population has not yet been described or tested. We hypothesize that non-hospitalized patients accrue minimal benefit from ICU physician participation in the RRS.

DESIGN

A retrospective review of all RRS events in non-hospitalized patients for a 28 month period was performed in a large, urban university medical center. Location, patient type and age, activation trigger, interventions performed, duration of event and disposition were recorded. Admission diagnosis and length of stay were also recorded for patients admitted to the hospital.

SETTING

Academic medical center.

PATIENTS

Non-hospitalized persons requiring evaluation by the medical emergency team.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

There were a total of 1778 RRS activations during the study period. 232 (13%) of activations were for non-hospitalized patients. The patient cohort consisted of outpatients, visitors, and staff. Triggers for RRS activation were neurologic change (42%), cardiac (27%), respiratory (16%), and staff concerns (16%). The mean duration of the response was 38 min. The most common interventions performed included administration of oxygen (46%), intravenous fluids (13%) and dextrose (6%). 82% of patients were taken to the emergency department and 32% of the ED cohort were admitted to the hospital.

CONCLUSIONS

Perceived emergencies in non-hospitalized patients occur commonly but require minimal emergent intervention. Restriction of critical care physician involvement to inpatient deteriorations should be considered when designing a RRS. Future studies are needed to evaluate the utility of non-physician provider led rapid response teams with protocol-driven interventions for similar populations.

What stops hospital clinical staff from following protocols? An analysis of the incidence and factors behind the failure of bedside clinical staff to activate the rapid response system in a multi-campus Australian metropolitan healthcare service

OBJECTIVE

To explore the causes of failure to activate the rapid response system (RRS). The organisation has a recognised incidence of staff failing to act when confronted with a deteriorating patient and leading to adverse outcomes.

DESIGN

A multi-method study using the following: a point prevalence survey to determine the incidence of abnormal simple bedside observations and activation of the rapid response team by clinical staff; a prospective audit of all patients experiencing a cardiac arrest, unplanned intensive care unit admission or death over an 8-week period; structured interviews of staff to explore cognitive and sociocultural barriers to activating the RRS.

SETTING

Southern Health is a comprehensive healthcare network with 570 adult in-patient beds across four metropolitan teaching hospitals in the south-eastern sector of Melbourne.

MEASUREMENTS

Frequency of physiological instability and outcomes within the in-patient hospital population. Qualitative data from staff interviews were thematically coded.

RESULTS

The incidence of physiological instability in the acute adult population was 4.04%. Nearly half of these patients (42%) did not receive an appropriate clinical response from the staff, despite most (69.2%) recognising their patient met physiological criteria for activating the RRS, and being 'quite', or 'very' concerned about their patient (75.8%). Structured interviews with 91 staff members identified predominantly sociocultural reasons for failure to activate the RRS.

CONCLUSIONS

Despite an organisational commitment to the RRS, clinical staff act on local cultural rules within the clinical environment that are usually not explicit. Better understanding of these informal rules may lead to more appropriate activation of the RRS.

Early intervention on the outcomes in critically ill cancer patients admitted to intensive care units

PURPOSE

To determine whether earlier intervention was associated with decreased mortality in critically ill cancer patients admitted to an intensive care unit (ICU).

METHODS

A retrospective observational study was performed of 199 critically ill cancer patients admitted to the ICU from the general ward between January 2010 and December 2010. A logistic regression model was used to adjust for potential confounding factors in the association between time to intervention and in-hospital mortality.

RESULTS

In-hospital mortality was 52 %, with a median Simplified Acute Physiology Score 3 (SAPS 3) of 80 [interquartile range (IQR) 67-93], and a median Sequential Organ Failure Assessment (SOFA) score of 8 (IQR 5-11). Median time from physiological derangement to intervention (time to intervention) prior to ICU admission was 1.5 (IQR 0.6-4.3) h. Median time to intervention was significantly shorter in survivors than in non-survivors (0.9 vs. 3.0 h; p < 0.001). Additionally, the mortality rates increased significantly with increasing quartiles of time to intervention (p < 0.001, test for trend). Other factors associated with in-hospital mortality were severity of illness, performance status, hematologic malignancy, stem-cell transplantation, presence of three or more abnormal physiological variables, time from derangement to ICU admission, presence of infection, need for mechanical ventilation and vasopressor, and low PaO(2)/FiO(2) ratio. Even after adjusting for potential confounding factors, time to intervention was still significantly associated with hospital mortality (adjusted odds ratio 1.445, 95 % confidence interval 1.217-1.717).

CONCLUSIONS

Early intervention before ICU admission was independently associated with decreased in-hospital mortality in critically ill cancer patients admitted to the ICU.

Incidence and preventability of adverse events requiring intensive care admission: a systematic review

RATIONALE, AIMS AND OBJECTIVES

Adverse events are unintended patient injuries or complications that arise from health care management resulting in death, disability or prolonged hospital stay. Adverse events that require critical care are a considerable financial burden to the health care system, but also their global impact on patients and society is probably underestimated. The objectives of this systematic review were to synthesize the best available evidence regarding the estimates of the incidence and preventability of adverse events that necessitate intensive care admission, to determine the type and consequences [mortality, length of intensive care unit (ICU) stay and costs] of these adverse events.

METHODS

MEDLINE (from 1966 to present), EMBASE (from 1974 to present) and CENTRAL (version 1-2010) were searched for studies reporting on unplanned admissions on ICUs. Several other sources were searched for additional studies. Only quantitative studies that used chart review for the detection of adverse events requiring intensive care admission were considered for eligibility. For the purposes of this systematic review, ICUs were defined as specialized hospital facilities which provide continuous monitoring and intensive care for acutely ill patients. Studies that were published in the English, Dutch, German, French or Spanish language were eligible for inclusion. Two reviewers independently extracted data and assessed the methodological quality of the included studies.

RESULTS

A total of 27 studies were reviewed. Meta-analysis of the data was not appropriate because of methodological and statistical heterogeneity between studies; therefore, results are presented in a descriptive way. The percentage of surgical and medical adverse events that required ICU admission ranged from 1.1% to 37.2%. ICU readmissions varied from 0% to 18.3%. Preventability of the adverse events varied from 17% to 76.5%. Preventable adverse events are further synthesized by type of event. Consequences of the adverse events included a mean length of ICU stay that ranged from 1.5 days to 10.4 days for the patient's first stay in ICU and mortality percentages between 0% and 58%.

CONCLUSIONS

Adverse events are an important reason for (re)admission to the ICU and a considerable proportion of these are preventable. It was not possible to estimate an overall incidence and preventability rate of these events as we found considerable heterogeneity. To decrease adverse events that necessitate ICU admission, several systems are recommended such as early detection of patients with clinical instability on general wards and the implementation of rapid response teams. Step-down or intermediate care units could be a useful strategy for patients who require monitoring to avoid ICU readmissions. However, the effectiveness of such systems needs to be investigated.

Four years' experience with a hospitalist-led medical emergency team: an interrupted time series

BACKGROUND

The effect of Medical Emergency Teams (METs) on cardiopulmonary arrests (codes) and fatal codes remains unclear and widely debated.

OBJECTIVE

To describe the implementation of a hospitalist-led MET and compare the number of code calls and code deaths before and after implementation.

DESIGN

Interrupted time series.

SETTING

Tertiary care academic medical center.

PATIENTS

All hospitalized patients.

INTERVENTION

Implementation of an MET, consisting of a critical care nurse, respiratory therapist, intravenous therapist, and the patient's physician.

MEASUREMENTS

Number of MET calls, code calls, cardiac arrests and other medical crises, and code deaths per 1000 admissions, stratified by location (inside vs outside critical care).

RESULTS

From implementation in March 2006 through December 2009, the MET logged 2717 calls, most commonly for respiratory distress (33%), cardiovascular instability (25%), and neurological abnormality (20%). Overall code calls declined significantly between pre-implementation and post-implementation of the MET from 7.30 (95% confidence interval [CI] 5.81, 9.16) to 4.21 (95% CI 3.42, 5.18) code calls per 1000 admissions. Outside of critical care, code calls declined from 4.70 (95% CI 3.92, 5.63) before the MET was implemented to 3.11 (95% CI 2.44, 3.97) afterwards, primarily due to a decrease in medical crises, which averaged 3.29 events per 1000 admissions (95% CI 2.70, 4.02) before implementation and decreased to 1.72 (95% CI 1.28, 2.31) afterwards. Code calls within critical care also declined. The rate of fatal codes was not affected.

CONCLUSIONS

A hospitalist-led MET decreased code call rates but did not affect mortality rates.

Examining nursing vital signs documentation workflow: barriers and opportunities in general internal medicine units

AIMS

To characterise the nursing practices of vital signs collection and documentation in a general internal medicine environment to inform strategies for improving workflow design.

BACKGROUND

Clinical workflow analysis is critical to identify barriers and opportunities in current processes. Analysis can guide the design and development of novel technological solutions to produce greater efficiencies and effectiveness in healthcare delivery. Research surrounding vital signs documentation workflow in general internal medicine environments has received very little attention making it difficult to compare the effectiveness of new technologies.

DESIGN

Qualitative ethnographic analyses and quantitative time-motion study were conducted.

METHODS

Workflows of 24 nurses at three hospitals in five general internal medicine environments were captured, and timeliness of vital signs assessment and documentation was measured.

RESULTS

Clinical assessment of vital signs was consistent, but the documentation process was highly variable within groups and between hospitals. Two themes characterised workflow barriers surrounding point-of-care documentation. First, a lack of standardised documentation methods for vital signs resulted in higher rates of transcription, increasing not only the likelihood of errors but delays in recording and accessibility of information. Second, despite advancements in electronic documentation systems, the observed system was not conducive to point-of-care documentation. Average electronic documentation was significantly longer than paper documentation. Nurses developed ad hoc workarounds that were inefficient and undermined the intent of electronic documentation.

CONCLUSION

We have identified barriers and opportunities to improve the efficiency of nursing vital signs documentation. Changes in technology, workflows and environmental design allow for significant improvements and deserve further exploration.

RELEVANCE TO CLINICAL PRACTICE

Attention to clinical practice and environments can improve the workflow of prompt vital signs documentation and increase clinical productivity and timeliness of information for clinical decisions, as well as minimising transcription errors leading to safer patient care.

Reduction in hospital-wide mortality after implementation of a rapid response team: a long-term cohort study

Introduction

Rapid response teams (RRTs) have been shown to reduce cardiopulmonary arrests outside the intensive care unit (ICU). Yet the utility of RRTs remains in question, as most large studies have failed to demonstrate a significant reduction in hospital-wide mortality after RRT implementation.

Methods

A cohort design with historical controls was used to determine the effect on hospital-wide mortality of an RRT in which clinical judgment, in addition to vital-signs criteria, was widely promoted as a key trigger for activation. All nonprisoner patients admitted to a tertiary referral public teaching hospital from 2003 through 2008 were included. In total, 77, 021 admissions before RRT implementation (2003 through 2005) and 79, 013 admissions after RRT implementation (2006 through 2008) were evaluated. The a priori primary outcome was unadjusted hospital-wide mortality. A Poisson regression model was then used to adjust for hospital-wide mortality trends over time. Secondary outcomes defined a priori were unadjusted out-of-ICU mortality and out-of-ICU cardiopulmonary-arrest codes.

Results

In total, 855 inpatient RRTs (10.8 per 1, 000 hospital-wide discharges) were activated during the 3-year postintervention period. Forty-seven percent of RRTs were activated for reasons of clinical judgment. Hospital-wide mortality decreased from 15.50 to 13.74 deaths per 1, 000 discharges after RRT implementation (relative risk, 0.887; 95% confidence interval (CI), 0.817 to 0.963; P = 0.004). After adjusting for inpatient mortality trends over time, the reduction in hospital-wide mortality remained statistically significant (relative risk, 0.825; 95% CI, 0.694 to 0.981; P = 0.029). Out-of-ICU mortality decreased from 7.08 to 4.61 deaths per 1, 000 discharges (relative risk, 0.651; 95% CI, 0.570 to 0.743; P < 0.001). Out-of-ICU cardiopulmonary-arrest codes decreased from 3.28 to 1.62 codes per 1, 000 discharges (relative risk, 0.493; 95% CI, 0.399 to 0.610; P < 0.001).

Conclusions

Implementation of an RRT in which clinical judgment, in addition to vital-signs criteria, was widely cited as a rationale for activation, was associated with a significant reduction in hospital-wide mortality, out-of-ICU mortality, and out-of-ICU cardiopulmonary-arrest codes. The frequent use of clinical judgment as a criterion for RRT activation was associated with high RRT utilization.

Use of physiologic reasoning to diagnose and manage shock States

Shock states are defined by stereotypic changes in well-known physiologic parameters. While these well-known changes provide a convenient entry point into further evaluation of patients in shock or at risk for shock, use of such physiologic evaluation is not commonly seen in clinical medicine. A formal description of physiologic reasoning in the diagnosis of shock states is presented in this paper. Included with this conceptual framework is a discussion of key tests or findings that can be used to differentiate between possible diagnoses, and the pairing of treatment strategies to distinct classes of physiologic abnormalities. It is hoped that the methodology presented here will demonstrate the primacy of physiologic reasoning in the diagnosis and treatment of hemodynamic instability. Advantages of this method are speed and accuracy, efficient use of resources, and mitigation against sources of medical errors.

Rapid response systems: a prospective study of response times

PURPOSE

The purpose of the study was to evaluate the time taken for delivery of each component of care following patient deterioration and to assess the effect on response times of strategies implemented to improve the system.

METHODS

A model identifying the sequence of organizational responses following a patient's unexpected clinical deterioration was developed. The time to key events and interventions from initial deterioration was measured for 3 months in 2005 and again in 2006 at a tertiary care hospital with a rapid response team (RRT) in place. Strategies to improve compliance with the RRT system were introduced between the 2 periods.

RESULTS

The number of acute deterioration episodes identified increased (61 episodes in 2005; 154 episodes in 2006), but there was no improvement in response times. The 2 components contributing most frequently to delays were the time for nursing staff to call for assistance and, where needed, for physicians to call for higher-level care. Overall, 26% of episodes in 2006 and 30% in 2005 did not receive medical attention within 30 minutes of acute deterioration.

CONCLUSIONS

Significant delays in responding to acute deterioration persist despite strategies to facilitate the functioning of the RRT system. Simple strategies such as policy directives are not sufficient to effect change in complex health care systems.

[In-hospital emergencies at a surgical university hospital]

BACKGROUND

Emergency treatment and resuscitation within hospitals are managed by so-called medical emergency teams (MET). The present study examined the circumstances, number, initial treatment and further hospital course of in-hospital emergency cases at a level 1 university hospital.

METHODS

A retrospective study of in-hospital emergencies on the surgical wards of a university hospital including all non-intensive care areas from January 2007 to June 2010 was carried out. A self-developed documentation protocol which was introduced in 2006 was used by the MET to document general patient characteristics and details of the emergency treatment. These data included the place where the emergency situation arose, the patient's assignment to a surgical discipline, a detailed description of the emergency situation, the effectiveness of basic life support measures as well as the further hospital course of the patient.

RESULTS

A total of 235 emergency cases were documented within the study period of 3.5 years. The frequency of in-hospital emergencies was 4/1,000 admitted patients per year. Cardiac arrest was encountered in 31,5%. Out of all patients 54,5% were admitted to an intensive care unit.

CONCLUSION

The tasks of a MET at a surgical university hospital go beyond mere cardiopulmonary resuscitation. Emergency cases within the full spectrum of perioperative complications are encountered. Further multicenter studies with standardized protocols are required to analyze the management of German in-hospital emergencies.

Low-flow oxygen therapy in intensive care: an observational study

BACKGROUND

There is scant published evidence that explains how ICU nurses' manage low-flow oxygen therapy; and, hence little is known about how low-flow oxygen therapy is delivered on a daily basis.

AIM

The aims of this study were first to observe how ICU nurses' manage low-flow oxygen therapy and then to compare observed nursing practice on the management of oxygen therapy with patients' documented measures of oxygen saturation (SpO2) and respiratory rate (RR).

METHOD

From May to July 2009, eight 2h observation periods were conducted in one ICU of a metropolitan hospital in Melbourne, Victoria. Data were collected at using a structured observation tool, field notes and chart review. Quantitative data were analysed using descriptive and frequency statistics, and textual data were reviewed using a content analysis procedure.

RESULTS

Over the 16 h of observed nursing practice, there were 96 points of measurement involving 16 patients and 16 ICU nurses. The management of low-flow oxygen therapy varied between nurses and data revealed that nurses did not always promote effective oxygenation. Documented SpO2 was 98.0% (SD 2.8%) and observed SpO2 was 96.3% (SD 1.8%). Documented RR was 19.6 breaths/min (SD 3.5) and observed RR was 21.0 breaths/min (SD 16.8). Episodes of hypoxaemia and tachypnoea occurred while patients were receiving oxygen and nurses did not always respond appropriately.

CONCLUSION

ICU nurses' management of low-flow oxygen therapy was suboptimal and documentation of oxygenation and respiratory rate was inaccurate. Further exploration of how ICU nurses manage low-flow oxygen therapy is a necessary prelude to the conduct of interventional studies and the development of better guidance to support low-flow oxygen therapy in the ICU.

Suboptimal care of the acutely unwell ward patient: a concept analysis

AIM

This paper presents a concept analysis of suboptimal care of the acutely unwell ward patient.

BACKGROUND

Acutely unwell patients exhibit abnormal vital signs which are either not recognized or are treated inappropriately. This is frequently termed 'suboptimal care'. However, use of the term 'suboptimal care' is ambiguous and not clearly defined. Critical review of this concept is required to ensure nurses have a better understanding of why and how suboptimal care occurs.

DATA SOURCES

Electronic databases (CINAHL, Medline, Cochrane) were searched for literature related to suboptimal care of acutely unwell ward patients. Reference lists from relevant publications were reviewed. No date or language restrictions were imposed. Only articles relevant to suboptimal care of the acutely unwell adult ward patient were included. All literature reviewed was in English and was published between 1990 and 2009.

METHOD

The Walker and Avant approach was used.

RESULTS

The attributes of suboptimal care are delays in diagnosis, treatment or referral, poor assessment and inadequate or inappropriate patient management. These attributes are preceded by contextual antecedents which can be categorized into patient complexity, healthcare workforce, organization and education factors. Suboptimal care may have catastrophic consequences for patients such as death, Intensive Care Unit admission or cardiac arrests which are preventable or avoidable.

CONCLUSION

For future research, investigators need to develop more objective measures which capture delays in the treatment and inappropriate or inadequate management of acutely unwell patients. This should occur through critical focus on the antecedents to suboptimal care.

Why don't hospital staff activate the rapid response system (RRS)? How frequently is it needed and can the process be improved?

Background

The rapid response system (RRS) is a process of accessing help for health professionals when a patient under their care becomes severely ill. Recent studies and meta-analyses show a reduction in cardiac arrests by a one-third in hospitals that have introduced a rapid response team, although the effect on overall hospital mortality is less clear. It has been suggested that the difficulty in establishing the benefit of the RRS has been due to implementation difficulties and a reluctance of clinical staff to call for additional help. This assertion is supported by the observation that patients continue to have poor outcomes in our institution despite an established RRS being available. In many of these cases, the patient is often unstable for many hours or days without help being sought. These poor outcomes are often discovered in an ad hoc fashion, and the real numbers of patients who may benefit from the RRS is currently unknown. This study has been designed to answer three key questions to improve the RRS: estimate the scope of the problem in terms of numbers of patients requiring activation of the RRS; determine cognitive and socio-cultural barriers to calling the Rapid Response Team; and design and implement solutions to address the effectiveness of the RRS.

Methods

The extent of the problem will be addressed by establishing the incidence of patients who meet abnormal physiological criteria, as determined from a point prevalence investigation conducted across four hospitals. Follow-up review will determine if these patients subsequently require intensive care unit or critical care intervention. This study will be grounded in both cognitive and socio-cultural theoretical frameworks. The cognitive model of situation awareness will be used to determine psychological barriers to RRS activation, and socio-cultural models of interprofessional practice will be triangulated to inform further investigation. A multi-modal approach will be taken using reviews of clinical notes, structured interviews, and focus groups. Interventions will be designed using a human factors analysis approach. Ongoing surveillance of adverse outcomes and surveys of the safety climate in the clinical areas piloting the interventions will occur before and after implementation.

Satisfaction survey on the critical care response team services in a teaching hospital

Introduction:

Patient care and safety is the main goal and mission of any health care provider. We surveyed nurses in the wards and obtained their feedback about the quality of care delivered by the Critical Care Response Team (CCRT).

Methods:

Our hospital has 900 beds. A self-administered survey was given onsite to all ward nurses. Survey items were identified, discussed, reviewed, piloted, and finalized over a 3-month period in a focus group discussion format during three CCRT core group meetings. Responses were anonymous and collected by the nurses onsite.

Results:

The total number of returned and analyzed surveys was 274 (98.6%). Ninety-seven percent agreed that CCRT staff arrived in a timely manner. Ninety-four percent reported that CCRT staff helped in managing sick patients and ∼70% reported that it strengthened team dynamics. Only 50% of the nurses felt CCRT staff improved competence at the bedside. The overall satisfaction was 100%; none of the nurses were dissatisfied with the team.

Conclusion:

The CCRT helped manage sick patients in the wards. However, CRRT staff should remember to involve and communicate with the team initiator and the patient’s physician to optimize patient health care.

Point prevalence of patients fulfilling MET criteria in ten MET equipped hospitals. The methodology of the RESCUE study

OBJECTIVE

The RESCUE study examined the prevalence of patients at risk of a medical emergency in acute care settings by assessing the prevalence of cases where patients fulfil the hospital-specific criteria for MET activation. This article will detail the study methodology including the ethics applications and approvals process, organisational preparation, research staff training, tools for data collection, as well as barriers encountered during the conduct of the study.

DESIGN AND SETTING

A point prevalence design conducted at 10 hospitals, comprising of private and public, secondary and tertiary referral, ICU equipped, metropolitan and regional settings.

PATIENTS

All inpatients were eligible except intensive care and psychiatric patients.

MEASUREMENT AND MAIN RESULTS

On a single day consenting inpatients in each hospital had a single set of vital signs obtained, their observation chart reviewed and followed up for MET activations, unplanned ICU admissions, cardiac arrests and 30 and 60 day mortality. Of 2199 eligible patients, 1688 (76.76%) were assessed, 175 (7.95%) refused consent and 336 (15.28%) were unavailable. Access to patients was refused in some wards despite ethics approval. Data collection required 2 student nurses approximately 14 min per patient assessment.

CONCLUSION

In conducting a large multi-site point prevalence study, critical organisational processes were shown to influence the access to patients. This study demonstrated the impact of variation in Human Research Ethics Committee interpretations of protocols on consenting processes and the importance of communication and leadership at ward level to promote access to patients.