Nursing care complexity as a predictor of adverse events in patients transferred from ICU to hospital ward after general surgery

OBJECTIVES

Predicting the likelihood of adverse events following discharge from the intensive care unit (ICU) can contribute to improving the quality of surgical care. This study aimed to evaluate the impact of nursing care complexity as a predictor of adverse event development in general surgery patients transferred from the ICU to the hospital ward.

METHODS

A prospective observational study was conducted with 100 patients in the ICU and general surgical inpatient unit of a training and research hospital in Istanbul, Turkey. The Nursing Care Complexity tool was used by ICU and hospital ward nurses to measure nursing complexity.

RESULTS

A total of 65 adverse events developed in 51 patients during hospital ward hospitalization after discharge from the ICU. Nursing care complexity evaluations by the ICU nurses predicted overall and some specific adverse events, while hospital ward nurses' evaluations predicted ICU readmission and some follow-up abnormalities such as patients' blood pressure, pulse rate, and laboratory results.

CONCLUSION

The results of the current study validate that nursing care complexity can serve as a valuable tool for predicting the risk of adverse events and ICU readmission following discharge from the ICU.

IMPLICATIONS FOR CLINICAL PRACTICE

The use of the Nursing Care complexity tool by the ICU and even hospital ward nurses after ICU discharge may have a significant impact on patient outcomes and contribute to the recognition of nursing efforts.

Hospital-acquired complications in critically ill patients

Background: The national hospital-acquired complications (HAC) system has been promoted as a method to identify health care errors that may be mitigated by clinical interventions. Objectives: To quantify the rate of HAC in multiday stay adults admitted to major hospitals. Design: Retrospective observational analysis of 5-year (July 2014 - June 2019) administrative dataset abstracted from medical records. Setting: All 47 hospitals with on-site intensive care units (ICUs) in the State of Victoria. Participants: All adults (aged ≥ 18 years) stratified into planned or unplanned, surgical or medical, ICU or other ward, and by hospital peer group (tertiary referral, metropolitan, regional). Main outcome measures: HAC rates in ICU compared with ward, and mixed-effects regression estimates of the association between HAC and i) risk of clinical deterioration, and ii) admission hospital site (intraclass correlation coefficient [ICC] > 0.3). Results: 211 120 adult ICU separations with mean hospital mortality of 7.3% (95% CI, 7.2-7.4%) reported 110 132 (42.6%) HAC events (commonly, delirium, infection, arrhythmia and respiratory failure) in 62 945 records (29.8%). Higher HAC rates were reported in elective (cardiac [50.3%] and non-cardiac [40.6%]) surgical subgroups compared with emergency medical subgroup (23.9%), and in tertiary (35.4%) compared with non-tertiary (22.7%) hospitals. HAC was strongly associated with on-admission patient characteristics (P < 0.001), but was weakly associated with hospital site (ICC, 0.08; 95% CI, 0.05-0.11). Conclusions: Critically ill patients have a high burden of HAC events, which appear to be associated with patient admission characteristics. HAC may an indicator of hospital admission complexity rather than hospital-acquired complications.

Adverse Events After Transition From ICU to Hospital Ward: A Multicenter Cohort Study

OBJECTIVES

To examine adverse events and associated factors and outcomes during transition from ICU to hospital ward (after ICU discharge).

DESIGN

Multicenter cohort study.

SETTING

Ten adult medical-surgical Canadian ICUs.

PATIENTS

Patients were those admitted to one of the 10 ICUs from July 2014 to January 2016.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Two ICU physicians independently reviewed progress and consultation notes documented in the medical record within 7 days of patient's ICU discharge date to identify and classify adverse events. The adverse event data were linked to patient characteristics and ICU and ward physician surveys collected during the larger prospective cohort study. Analyses were conducted using multivariable logistic regression. Of the 451 patients included in the study, 84 (19%) experienced an adverse event, the majority (62%) within 3 days of transfer from ICU to hospital ward. Most adverse events resulted only in symptoms (77%) and 36% were judged to be preventable. Patients with adverse events were more likely to be readmitted to the ICU (odds ratio, 5.5; 95% CI, 2.4-13.0), have a longer hospital stay (mean difference, 16.1 d; 95% CI, 8.4-23.7) or die in hospital (odds ratio, 4.6; 95% CI, 1.8-11.8) than those without an adverse event. ICU and ward physician predictions at the time of ICU discharge had low sensitivity and specificity for predicting adverse events, ICU readmissions, and hospital death.

CONCLUSIONS

Adverse events are common after ICU discharge to hospital ward and are associated with ICU readmission, increased hospital length of stay and death and are not predicted by ICU or ward physicians.

A qualitative study portraying nurses' perspectives on transitional care between intensive care units and hospitals wards

INTRODUCTION

The transition process from the intensive care unit (ICU) to hospital ward may impact the illness trajectory and compromise the continuity of safe care for ICU survivors. ICU and ward nurses are involved with the transition and are responsible for the quality of the transitional care.

AIM

The aim was to explore ICU and ward nurses' views on assignments in relation to patients' transition between ICU and hospital ward.

METHODS

We conducted a qualitative study with 20 semi-structured interviews with ICU nurses and ward nurses and analysed data by content analysis.

SETTING

A university hospital with 690 beds and an 11-bed mixed medical/surgical ICU.

FINDINGS

The overarching themes were (1) 'Ritual of hand over' with the categories: (a) 'Ready, able and willing', (b) 'Transfer of responsibility' and (c) 'Nice to know versus need to know' and (2) 'From lifesaving care to rehabilitative care' with the categories: (a) 'Complex care needs persist', (b) 'Fight or flight mode' and (c) '"Weaning" the family'. Nurses were highly focused on the ritual of the actual handover of the patient and discussed readiness as an indicator of quality and the feeling of passing on the responsibility. Nurses had different opinions on what useful knowledge was and thus necessary to communicate during handover. Although patients' complex care needs may not have been resolved when exiting the ICU, ward nurses had to receive patients in a setting where nurses were mostly comfortable within their own specialty - this was worrying for both type of nurses. Patients could enter the ward very exhausted and weak or in 'fight mode' and demand rehabilitation at a pace the ward was not capable of delivering. ICU nurses encouraged families to be demanding after the ICU stay, and ward nurses asked them to trust them and steep back.

Risk factors for readmission to ICU and analysis of intra-hospital mortality

INTRODUCTION

Critical patients, despite initial recovery in the intensive care unit (ICU), may require readmission to the ICU or even die in the same hospital episode. The objectives are to determine the incidence and to identify risk factors for ICU readmission, and to determine hospital mortality.

METHODS

Observational cohort study of all patients admitted consecutively for more than 24hours to the ICU of the University Hospital of Getafe between April 1, 2018 and September 30, 2018 and discharged alive from their first ICU admission.

RESULTS

Of the 164 patients alive at ICU discharge, 14 (8.5%) were readmitted to ICU (2.4% at≤48hours). The adjusted risk of ICU readmission was higher in patients with disabling neurological deficits prior to ICU admission [odds ratio (OR) 7.96, 95% confidence interval (CI) 1.55-40.92] or who received vasoactive drugs (OR 5.07, 95% CI 1.41-18.29) during their ICU stay. Readmitted patients had higher hospital mortality (4 of 14 [29%] versus 5 of 150 [3%], P<.001) and longer hospital stay (74.5 [37.5-99.75] days versus 16 [9-34] days, median [interquartile range], P=.001).

CONCLUSIONS

Patients with disabling neurological deficits prior to hospital admission or who received vasoactive drugs during their ICU stay have a higher risk of readmission to the ICU, which increases hospital stay and mortality.

Is my patient ready for a safe transfer to a lower-intensity care setting? Nursing complexity as an independent predictor of adverse events risk after ICU discharge

BACKGROUND

Patients discharged from intensive care units (ICUs) are at risk for adverse events (AEs). Establishing safe discharge criteria is challenging. No available criteria consider nursing complexity among risk factors.

OBJECTIVES

To investigate whether nursing complexity upon ICU discharge is an independent predictor for AEs.

METHODS

Prospective observational study. The Patient Acuity and Complexity Score (PACS) was developed to measure nursing complexity. Its predictive power for AEs was tested using multivariate regression analysis.

RESULTS

The final regression model showed a very-good discrimination power (AUC 0.881; p<0.001) for identifying patients who experienced AEs. Age, ICU admission reason, PACS, cough strength, PaCO₂, serum creatinine and sodium, and transfer to Internal Medicine showed to be predictive of AEs. Exceeding the identified PACS threshold increased by 3.3 times the AEs risk.

CONCLUSIONS

The level of nursing complexity independently predicts AEs risk and should be considered in establishing patient's eligibility for a safe ICU discharge.

A Shift in Time Saves ……

How to cite this article: Srinivasan S. A Shift in Time Saves ……. Indian J Crit Care Med 2019;23(3):109-110.

Protocol for a mixed-methods exploratory investigation of care following intensive care discharge: the REFLECT study

INTRODUCTION

A substantial number of patients discharged from intensive care units (ICUs) subsequently die without leaving hospital. It is unclear how many of these deaths are preventable. Ward-based management following discharge from ICU is an area that patients and healthcare staff are concerned about. The primary aim of REFLECT (Recovery Following Intensive Care Treatment) is to develop an intervention plan to reduce in-hospital mortality rates in patients who have been discharged from ICU.

METHODS AND ANALYSIS

REFLECT is a multicentre mixed-methods exploratory study examining ward care delivery to adult patients discharged from ICU. The study will be made up of four substudies. Medical notes of patients who were discharged from ICU and subsequently died will be examined using a retrospective case records review (RCRR) technique. Patients and their relatives will be interviewed about their post-ICU care, including relatives of patients who died in hospital following ICU discharge. Staff involved in the care of patients post-ICU discharge will be interviewed about the care of this patient group. The medical records of patients who survived their post-ICU stay will also be reviewed using the RCRR technique. The analyses of the substudies will be both descriptive and use a modified grounded theory approach to identify emerging themes. The evidence generated in these four substudies will form the basis of the intervention development, which will take place through stakeholder and clinical expert meetings.

ETHICS AND DISSEMINATION

Ethical approval has been obtained through the Wales Research and Ethics Committee 4 (17/WA/0107). We aim to disseminate the findings through international conferences, international peer-reviewed journals and social media.

TRIAL REGISTRATION NUMBER

ISRCTN14658054.

Handoff Tool Enabling Standardized Transitions Between the Emergency Department and the Hospitalist Inpatient Service at a Major Cancer Center

Communication failures during patient handoff can lead to serious errors. A quality improvement team created a standardized handoff tool/process (DE-PASS: Decisive problem requiring admission, Evaluation time, Patient summary, Acute issues/action list, Situation unfinished/awareness, Signed out to) for admitting patients from the emergency department (ED) to the hospitalist inpatient service of a tertiary cancer center. DE-PASS mirrors the institution's ED workflow, stratifies patients as stable/urgent/emergent, and establishes requirements for verbal and email communications between providers. Comparison of preintervention and postintervention results from the 1-month pilot revealed that within a 24-hour period, DE-PASS reduced the number of intensive care unit transfers by 58% ( P = .393), the number of rapid-response team calls by 39% ( P = .637), and time to inpatient order by 31% ( P = .004). ED physicians' and hospitalists' satisfaction with DE-PASS increased. Reduction in intensive care unit transfers was sustained after the pilot ( P = .029). DE-PASS feasibility was evidenced by 100% uptake. By stratifying patients by risk level, DE-PASS reduced admission-to-evaluation times for unstable patients, potentially improving patient safety.

Association between time of discharge from ICU and hospital mortality: a systematic review and meta-analysis

Background

Epidemiological studies have provided inconsistent results on whether intensive care unit (ICU) discharge at night and on weekends is associated with an increased risk of mortality. This systematic review and meta-analysis aimed to determine whether ICU discharge time was associated with hospital mortality.

Methods

The PubMed, Embase, and Scopus databases were searched to identify cohort studies that investigated the effects of discharge from the ICU on weekends and at night on hospital mortality, with adjustments for the disease severity at ICU admission or discharge. The primary meta-analysis focused on the association between nighttime ICU discharge and hospital mortality. The secondary meta-analysis examined the association between weekend ICU discharge and hospital mortality. Odds ratios (ORs) with 95% confidence intervals (CIs) were pooled using a random-effects model.

Results

We included 14 studies that assessed outcomes for nighttime versus daytime discharges among 953,312 individuals. Of these 14 studies, 5 evaluated outcomes for weekend versus weekday discharges (n = 70,883). The adjusted OR for hospital mortality was significantly higher among patients discharged during the nighttime, compared to patients discharged during the daytime (OR 1.31, 95% CI 1.25–1.38, P < 0.0001), and the studies exhibited low heterogeneity (I² = 33.8%, P = 0.105). There was no significant difference in the adjusted ORs for hospital mortality between patients discharged during the weekend or on weekdays (OR 1.03, 95% CI 0.88–1.21, P = 0.68), although there was significant heterogeneity between the studies in the weekday/weekend analysis (I² = 72.5%, P = 0.006).

Conclusions

Nighttime ICU discharge is associated with an increased risk of hospital mortality, while weekend ICU discharge is not. Given the methodological limitations and heterogeneity among the included studies, these conclusions should be interpreted with caution, and should be tested in further studies.

Electronic supplementary material

The online version of this article (doi:10.1186/s13054-016-1569-x) contains supplementary material, which is available to authorized users.

Adverse events in the intensive care unit: impact on mortality and length of stay in a prospective study

This study sought to evaluate the occurrence of adverse events and their impacts on length of stay and mortality in an intensive care unit (ICU). This is a prospective study carried out in a teaching hospital in Rio de Janeiro, Brazil. The cohort included 355 patients over 18 years of age admitted to the ICU between August 1, 2011 and July 31, 2012. The process we used to identify adverse events was adapted from the method proposed by the Institute for Healthcare Improvement. We used a logistical regression to analyze the association between adverse event occurrence and death, adjusted by case severity. We confirmed 324 adverse events in 115 patients admitted over the year we followed. The incidence rate was 9.3 adverse events per 100 patients-day and adverse event occurrence impacted on an increase in length of stay (19 days) and in mortality (OR = 2.047; 95%CI: 1.172-3.570). This study highlights the serious problem of adverse events in intensive care and the risk factors associated with adverse event incidence. Resumo: Este estudo teve como objetivo avaliar a ocorrência de eventos adversos e o impacto deles sobre o tempo de permanência e a mortalidade na unidade de terapia intensiva (UTI). Trata-se de um estudo prospectivo desenvolvido em um hospital de ensino do Rio de Janeiro, Brasil. A coorte foi formada por 355 pacientes maiores de 18 anos, admitidos na UTI, no período de 1º de agosto de 2011 a 31 de julho de 2012. O processo de identificação de eventos adversos baseou-se em uma adaptação do método proposto pelo Institute for Healthcare Improvement. A regressão logística foi utilizada para analisar a associação entre a ocorrência de evento adverso e o óbito, ajustado pela gravidade do paciente. Confirmados 324 eventos adversos em 115 pacientes internados ao longo de um ano de seguimento. A taxa de incidência foi de 9,3 eventos adversos por 100 pacientes-dia, e a ocorrência de evento adverso impactou no aumento do tempo de internação (19 dias) e na mortalidade (OR = 2,047; IC95%: 1,172-3,570). Este estudo destaca o sério problema dos eventos adversos na assistência à saúde prestada na terapia intensiva e os fatores de risco associados à incidência de eventos.

Life-threatening complications after postoperative intermediate care unit discharge: A retrospective, observational study

BACKGROUND

Postoperative patients who require intensive monitoring, intervention with an arterial line, vasoactive drugs and prolonged ventilator weaning are admitted to the postoperative intermediate care unit (IMCU).

OBJECTIVES

The aim of this study was to estimate the prevalence of life-threatening complications within 7 days after IMCU discharge. Furthermore, we searched for associations between perioperative risk factors and these life-threatening complications.

DESIGN

A retrospective observational study.

SETTING

The postoperative IMCU of a university hospital in Tokyo, Japan, between 2010 and 2012.

PATIENTS

All adult patients who stayed in the postoperative IMCU and who were discharged to general wards without being transferred to the ICU were included.

MAIN OUTCOME MEASURES

A composite outcome of life-threatening complications needing unplanned ICU admission within 7 days after IMCU stay, or death within 7 days after IMCU stay.

RESULTS

Forty out of 3093 patients (1.3%) presented a life-threatening complication; all had an unplanned ICU admission, and none died. Patients with life-threatening complications had a longer length of hospital stay [median 38.0 (interquartile range, IQR 21.3 to 56.8) days vs. 12.0 (IQR 8.0 to 23.0), P < 0.001] and a higher in-hospital mortality (12.5 vs. 0.7%, P < 0.001). Independent risk factors were an emergency operation before IMCU admission [vs. elective; odds ratio (OR) 20.5; 95% confidence interval (95% CI) 12.2 to 36.0, P < 0.001], higher cumulative perioperative fluid load during the surgical operation and IMCU stay (3000 to 4999 vs. <1000 ml; OR 5.7; 95% CI 1.6 to 23.7, P = 0.009; ≥5000 vs. <1000 ml; OR 7.2; 95% CI 1.3 to 39.6, P = 0.021), mechanical ventilation during IMCU stay less than 6 h (vs. no use; OR 3.6; 95% CI 1.4 to 9.2, P = 0.007).

CONCLUSION

More than 1% of patients had a life-threatening complication within 7 days after IMCU discharge, but with no deaths. Risk factors were an emergency operation before IMCU admission, higher cumulative perioperative fluid load and a short period of mechanical ventilation during the IMCU stay.

Diurnal variation in the performance of rapid response systems: the role of critical care services-a review article

The type of medical review before an adverse event influences patient outcome. Delays in the up-transfer of patients requiring intensive care are associated with higher mortality rates. Timely detection and response to a deteriorating patient constitute an important function of the rapid response system (RRS). The activation of the RRS for at-risk patients constitutes the system’s afferent limb. Afferent limb failure (ALF), an important performance measure of rapid response systems, constitutes a failure to activate a rapid response team (RRT) despite criteria for calling an RRT.

There are diurnal variations in hospital staffing levels, the performance of rapid response systems and patient outcomes. Fewer ward-based nursing staff at night may contribute to ALF. The diurnal variability in RRS activity is greater in unmonitored units than it is in monitored units for events that should result in a call for an RRT. RRT events include a significant abnormality in either the pulse rate, blood pressure, conscious state or respiratory rate. There is also diurnal variation in RRT summoning rates, with most activations occurring during the day. The reasons for this variation are mostly speculative, but the failure of the afferent limb of RRT activation, particularly at night, may be a factor.

The term “circadian variation/rhythm” applies to physiological variations over a 24-h cycle. In contrast, diurnal variation applies more accurately to extrinsic systems. Circadian rhythm has been demonstrated in a multitude of bodily functions and disease states.

For example, there is an association between disrupted circadian rhythms and abnormal vital parameters such as anomalous blood pressure, irregular pulse rate, aberrant endothelial function, myocardial infarction, stroke, sleep-disordered breathing and its long-term consequences of hypertension, heart failure and cognitive impairment. Therefore, diurnal variation in patient outcomes may be extrinsic, and more easily modifiable, or related to the circadian variation inherent in human physiology. Importantly, diurnal variations in the implementation and performance of the RRS, as gauged by ALF, the RRT response to clinical deterioration and any variations in quality and quantity of patient monitoring have not been fully explored across a diverse group of hospitals.

Critical care transition programs and the risk of readmission or death after discharge from ICU

PURPOSE

Critical care transition programs have been widely implemented to improve the safety of patient discharge from ICU, but have undergone limited evaluation. We sought to evaluate implementation of a critical care transition program on patient readmission to ICU (72 h) and mortality (14 days).

METHODS

Interrupted time series analysis of 32,234 consecutive adult patients discharged alive from medical-surgical ICUs in eight hospitals in two cities between January 1, 2002 and January 1, 2012. A multidisciplinary ICU provider team (physician, nurse, respiratory therapist) that serially evaluated each patient after ICU discharge was implemented in three hospitals in one city (study group), but not the five hospitals in the other city (control group). Temporal changes were examined using multivariable, segmented linear regression models.

RESULTS

After implementation of the program, there was an immediate non-significant decrease in the absolute proportion of patients readmitted to ICU in the study group (-0.4%, 95% CI -1.7 to +1.0%) and a non-significant increase in the absolute proportion of patients readmitted to ICU in the control group (+1.0%, 95% CI -0.3 to +2.2%). Subsequently, there were non-significant changes in the absolute proportion of patients readmitted to ICU in both the study (+0.1% per quarter; 95% CI, -0.1 to +0.2%) and control (-0.1 per quarter; 95% CI, -0.2 to +0.1%) groups over time. No significant changes were observed in mortality. The results were stable across patient subgroups.

CONCLUSIONS

Implementation of a critical care transition program was not associated with patient readmission to ICU or mortality.

Factors associated with post-intensive care unit adverse events: a clinical validation study

BACKGROUND

Many patients discharged from intensive care units (ICU) have complex care needs, placing them at risk of an adverse event in a ward environment. Currently, there is limited understanding of factors associated with these events in the post-intensive care population. A recent study explored intensive care liaison nurses' opinions on factors associated with these events; 25 factors were identified, highlighting the multifaceted nature of post-intensive care adverse events.

AIM

This study aimed to clinically validate 25 factors intensive care liaison nurses believe are associated with post-intensive care adverse events, to determine the factors' relevance and importance to clinical practice.

DESIGN

Prospective, clinical validation study.

METHOD

Data were prospectively collected on a convenience sample of 52 patients at 4 tertiary referral hospitals in an Australian capital city. All patients had experienced an adverse event after intensive care discharge.

RESULTS

Each of the 25 factors contributed to adverse events in at least 6 patients. The factors associated with the most adverse events were those that related to the patient such as illness severity and co-morbidities.

CONCLUSION

Clinical care and research should focus on modifiable factors in care processes to reduce the risk of future adverse events in post-intensive care patients.

RELEVANCE TO CLINICAL PRACTICE

Many patients are at risk of post-ICU adverse events due to the contribution of non-modifiable factors. However, by focusing on modifiable factors in care processes, the risk of post-ICU adverse events may be reduced.

Comparing the monitoring of patients transferred from a critical care unit to hospital wards at after-hours with day transfers: an exploratory, prospective cohort study

AIMS

To investigate possible factors related to patient monitoring to explain the higher mortality rates associated with after-hours transfers compared with daytime transfers from critical care units to the wards.

BACKGROUND

International research suggests that patients transferred from critical care units after-hours have a higher mortality rate than transfers during daytime, although the reasons remain unknown.

DESIGN

A prospective exploratory study.

METHODS

Twenty-nine patients transferred from a UK critical care unit to a ward within the same hospital after-hours for 10 weeks beginning April 2009 were compared with 29 transfers during daytime hours matched on potentially confounding characteristics. UK Critical Care Unit transfer guidelines have remained unchanged since data collection. Outcomes were as follows: (i) frequency of nursing observations; (ii) time periods from transfer to first medical review; (iii) time period from transfer to first clinical observations; (iv) frequency of transfer to an inappropriate ward; (v) delayed transfers from Critical Care Unit to ward.

RESULTS

Using Wilcoxon's Rank test (two tail) to compare paired data from the matched groups, observations were recorded significantly less frequently within the first 12 hours for after-hours transfers. Time from transfer to first clinical observations was significantly longer for after-hour transfer patients. The delay from when the patient was ready for ward care and actual transfer was also longer for the after-hours transfer group.

CONCLUSIONS

Surveillance differences, including time to the first set of observations and frequency of observations in the first 12 hours, are potential factors that may explain the differential mortality associated with after-hours transfers.

Examining adverse events after intensive care unit discharge: outcomes from a pilot questionnaire

Adverse events are common in acute clinical settings but little is known about these events occurring after Intensive Care discharge. This study aimed to develop a reliable and valid tool for exploring clinicians' opinions of factors associated with post-Intensive Care adverse events. A convenience sample of Australian Intensive Care Liaison Nurses was invited to complete and appraise a questionnaire using structured guidelines. Content validity and internal consistency were assessed. Twelve Intensive Care Liaison Nurses completed the questionnaire. Cronbach?s alpha coefficient showed high internal consistency for the questionnaire; all 24 items on the questionnaire had coefficients greater than 0.852. The content validity index of the questionnaire overall was 0.76. The post-Intensive Care adverse events questionnaire demonstrated reliability and validity. It is a tool that can be used to explore clinicians? opinions of factors associated with these events. The tool is important as it facilitates further insight into the causes of post-Intensive Care adverse events.

An empirical derivation of the optimal time interval for defining ICU readmissions

BACKGROUND

Intensive care unit (ICU) readmission rates are commonly viewed as indicators of ICU quality. However, definitions of ICU readmissions vary, and it is unknown which, if any, readmissions are associated with ICU quality.

OBJECTIVE

Empirically derive the optimal interval between ICU discharge and readmission for purposes of considering ICU readmission as an ICU quality indicator.

RESEARCH DESIGN

Retrospective cohort study.

SUBJECTS

A total of 214,692 patients discharged from 157 US ICUs participating in the Project IMPACT database, 2001-2008.

MEASURES

We graphically examined how patient characteristics and ICU discharge circumstances (eg, ICU census) were related to the odds of ICU readmissions as the allowable interval between ICU discharge and readmission was lengthened. We defined the optimal interval by identifying inflection points where these relationships changed significantly and permanently.

RESULTS

A total of 2242 patients (1.0%) were readmitted to the ICU within 24 hours; 9062 (4.2%) within 7 days. Patient characteristics exhibited stronger associations with readmissions after intervals >48-60 hours. By contrast, ICU discharge circumstances and ICU interventions (eg, mechanical ventilation) exhibited weaker relationships as intervals lengthened, with inflection points at 30-48 hours. Because of the predominance of afternoon readmissions regardless of time of discharge, using intervals defined by full calendar days rather than fixed numbers of hours produced more valid results.

DISCUSSION

It remains uncertain whether ICU readmission is a valid quality indicator. However, having established 2 full calendar days (not 48 h) after ICU discharge as the optimal interval for measuring ICU readmissions, this study will facilitate future research designed to determine its validity.

Frequency, characteristics, and outcomes of pediatric patients readmitted to the cardiac critical care unit

PURPOSE

To describe the characteristics and outcomes of patients readmitted to a pediatric cardiac critical care unit (CCCU) from the ward within 72 h of their first discharge.

METHODS

This was a retrospective analysis of data collected on patients admitted to the CCCU between January 1, 2000 and January 31, 2007. The setting was an 18-bed pediatric CCCU in a tertiary care university hospital. No interventions were performed.

RESULTS

Among the 4,625 patients admitted to the CCCU, 112 (2.4 %) were readmitted from the ward within 72 h of their discharge. The most common cause for readmission was respiratory symptoms (42.9 %). Significant changes in the chest X-ray prior to discharge were identified retrospectively in 12.5 % of these patients. Cardiovascular symptoms were similarly frequent (40.2 %) among these patients. Nine (8 %) of the patients died during the readmission period, a rate which is considerably higher than the overall CCCU mortality rate (3.8 %) in the same period of time.

CONCLUSIONS

Respiratory reasons are the most common cause for early CCCU readmission among pediatric cardiac patients. The readmitted patients have higher rates of death compared to the overall pediatric cardiac critical care population. The development of objective predischarge scores might help planning appropriately for discharge to the ward and avoid readmission to the CCU.

Redesigning the ICU nursing discharge process: a quality improvement study

PURPOSE

To evaluate the impact of a redesigned intensive care unit (ICU) nursing discharge process on ICU discharge delay, hospital mortality, and ICU readmission within 72 hours.

METHODS

A quality improvement study using a time series design and statistical process control analysis was conducted in one Australian general ICU. The primary outcome measure was hours of discharge delay per patient discharged alive per month, measured for 15 months prior to, and for 12 months after the redesigned process was implemented. The redesign process included appointing a change agent to facilitate process improvement, developing a patient handover sheet, requesting ward staff to nominate an estimated transfer time, and designing a daily ICU discharge alert sheet that included an expected date of discharge.

RESULTS

A total of 1,787 ICU discharges were included in this study, 1,001 in the 15 months before and 786 in the 12 months after the implementation of the new discharge processes. There was no difference in in-hospital mortality after discharge from ICU or ICU readmission within 72 hours during the study period. However, process improvement was demonstrated by a reduction in the average patient discharge delay time of 3.2 hours (from 4.6 hour baseline to 1.0 hours post-intervention).

CONCLUSIONS

Involving both ward and ICU staff in the redesign process may have contributed to a shared situational awareness of the problems, which led to more timely and effective ICU discharge processes. The use of a change agent, whose ongoing role involved follow-up of patients discharged from ICU, may have helped to embed the new process into practice.

Unplanned early readmission to the intensive care unit: a case-control study of patient, intensive care and ward-related factors

The purpose of this study was to identify patient, intensive care and ward-based risk factors for early, unplanned readmission to the intensive care unit. A five-year retrospective case-control study at a tertiary referral teaching hospital of 205 cases readmitted within 72 hours of intensive care unit discharge and 205 controls matched for admission diagnosis and severity of illness was conducted. The rate of unplanned readmissions was 3.1% and cases had significantly higher overall mortality than control patients (odds ratio [OR] 4.7, 95% confidence interval [CI] 2.1 to 10.7). New onset respiratory compromise and sepsis were the most common cause of readmission. Independent risk factors for readmission were chronic respiratory disease (OR 3.7, 95% CI 1.2 to 12, P = 0.029), pre-existing anxiety/depression (OR 3.3, 95% CI 1.7 to 6.6, P < 0.001), international normalised ratio >1.3 (OR 2.3, 95% CI 1.1 to 4.9, P = 0.024), immobility (OR 2.3, 95% CI 1.4 to 3.6, P = 0.001), nasogastric nutrition (OR 2.0, 95% CI 1.0 to 4.0, P = 0.041), a white cell count > 15 x 10(9)/l (OR 2.0, 95% CI 1.2 to 3.4, P = 0.012) and non-weekend intensive care unit discharge (OR 1.9, 95% CI 1.1 to 3.5, P = 0.029). Physiological derangement on the ward (OR 26, 95% CI 8.0 to 81, P < 0.001) strongly predicted readmission, although only 20% of patients meeting medical emergency team criteria had a medical emergency team call made. Risk of readmission is associated with both patient and intensive care factors. Physiological derangement on the ward predicts intensive care unit readmission, however, clinical response to this appears suboptimal.

Readmission to intensive care: a qualitative analysis of nurses' perceptions and experiences

OBJECTIVE

The purpose of this study was to identify and describe the experiences and perceptions of nurses regarding the factors that contribute to the readmission of patients to intensive care.

METHODS

Twenty-one nurses participated in the study. Unstructured interviews were conducted to ascertain participants' perceptions and experiences. Interview transcripts were analyzed using a constant comparison method to identify major conceptual categories.

RESULTS

Five main themes were identified that contributed to the readmission of patients to intensive care: premature discharge from intensive care, delayed medical care at the ward level, heavy nursing workloads, lack of adequately qualified staff, and clinically "challenging" patients who demanded a different skill set from the nurses.

CONCLUSION

Discharging patients early from the intensive care unit when they are clinically unstable creates issues around workload and significantly challenges ward staff. It also increases the likelihood of patients being readmitted to the intensive care unit. Hospital managers need to look at ways of increasing the knowledge and skills of ward staff or identify more appropriate environments for managing these acutely ill patients.

Medication safety in acute care in Australia: where are we now? Part 1: a review of the extent and causes of medication problems 2002-2008

BACKGROUND

This paper presents Part 1 of a two-part literature review examining medication safety in the Australian acute care setting. This review was undertaken for the Australian Commission on Safety and Quality in Health Care to update a previous national report on medication safety conducted in 2002. This first part of the review examines the extent and causes of medication incidents and adverse drug events in acute care.

METHODS

A literature search was conducted to identify Australian studies, published from 2002 to 2008, on the extent and causes of medication incidents and adverse drug events in acute care.

RESULTS

Studies published since 2002 continue to suggest approximately 2%-3% of Australian hospital admissions are medication-related. Results of incident reporting from hospitals show that incidents associated with medication remain the second most common type of incident after falls. Omission or overdose of medication is the most frequent type of medication incident reported. Studies conducted on prescribing of renally excreted medications suggest that there are high rates of prescribing errors in patients requiring monitoring and medication dose adjustment. Research published since 2002 provides a much stronger Australian research base about the factors contributing to medication errors. Team, task, environmental, individual and patient factors have all been found to contribute to error.

CONCLUSION

Medication-related hospital admissions remain a significant problem in the Australian healthcare system. It can be estimated that 190,000 medication-related hospital admissions occur per year in Australia, with estimated costs of $660 million. Medication incidents remain the second most common type of incident reported in Australian hospitals. A number of different systems factors contribute to the occurrence of medication errors in the Australian setting.

Medication safety in acute care in Australia: where are we now? Part 1: a review of the extent and causes of medication problems 2002-2008

Background

This paper presents Part 1 of a two-part literature review examining medication safety in the Australian acute care setting. This review was undertaken for the Australian Commission on Safety and Quality in Health Care to update a previous national report on medication safety conducted in 2002. This first part of the review examines the extent and causes of medication incidents and adverse drug events in acute care.

Methods

A literature search was conducted to identify Australian studies, published from 2002 to 2008, on the extent and causes of medication incidents and adverse drug events in acute care.

Results

Studies published since 2002 continue to suggest approximately 2%–3% of Australian hospital admissions are medication-related. Results of incident reporting from hospitals show that incidents associated with medication remain the second most common type of incident after falls. Omission or overdose of medication is the most frequent type of medication incident reported. Studies conducted on prescribing of renally excreted medications suggest that there are high rates of prescribing errors in patients requiring monitoring and medication dose adjustment. Research published since 2002 provides a much stronger Australian research base about the factors contributing to medication errors. Team, task, environmental, individual and patient factors have all been found to contribute to error.

Conclusion

Medication-related hospital admissions remain a significant problem in the Australian healthcare system. It can be estimated that 190,000 medication-related hospital admissions occur per year in Australia, with estimated costs of $660 million. Medication incidents remain the second most common type of incident reported in Australian hospitals. A number of different systems factors contribute to the occurrence of medication errors in the Australian setting.