Association Between Nighttime Discharge from the Intensive Care Unit and Hospital Mortality: A Multi-Center Retrospective Cohort Study

Background

We aimed to determine the impact of nighttime discharge from the intensive care unit (ICU) to the ward on hospital mortality and readmission rates in consecutive critically ill patients admitted to five Canadian ICUs. We hypothesized that hospital mortality and readmission rates would be higher for patients discharged after hours compared with discharge during the day.

Methods

A multi-center retrospective cohort study was carried out at five hospitals in Edmonton, Canada, between July 2002 and December 2009. Nighttime discharge was defined as discharge from the ICU occurring between 07:00 pm and 07:59 am. Logistic regression analysis was used to explore the associations between nighttime discharge and outcomes.

Results

Of 19,622 patients discharged alive from the ICU, 3,505 (17.9 %) discharges occurred during nighttime. Nighttime discharge occurred more commonly among medical than surgical patients (19.9 % vs. 13.8 %, P < 0.001) and among those with more comorbid conditions, compared with daytime discharged patients. Crude hospital mortality (11.8 % versus 8.8 %, P < 0.001) was greater for nighttime discharged as compared to daytime discharged patients. In a multivariable analysis, after adjustment for comorbidities, diagnosis and source of admission, nighttime discharge remains associated with higher mortality (odds ratio [OR] 1.29; 95 % CI, 1.14 to 1.46, P < 0.001). This finding was robust in two sensitivity analyses examining discharges occurring between 00:00 am and 04:59 am (OR 1.28; 1.12–1.47; P < 0.001) and for those who died within 48 h of ICU discharge without readmission (OR 1.24; 1.07–1.42, P = 0.002). There was no difference in ICU readmission for nighttime compared with daytime discharges (7.4 % vs. 6.9 %, p = 0.26). However, rates were higher for nighttime discharges in community compared with tertiary hospitals (7.7 % vs. 5.7 %, P = 0.023).

Conclusions

In a large integrated health region, 1 in 5 ICU patients are discharged at nighttime, a factor with increasing occurrence during our study and shown to be independently associated with higher hospital mortality.

Electronic supplementary material

The online version of this article (doi:10.1186/s12913-015-1044-4) contains supplementary material, which is available to authorized users.

Quality indicators in continuous renal replacement therapy (CRRT) care in critically ill patients: protocol for a systematic review

BACKGROUND

Renal replacement therapy is increasingly utilized in the intensive care unit (ICU), of which continuous renal replacement therapy (CRRT) is most common. Despite CRRT being a relatively resource-intensive and expensive technology, there remains wide practice variation in its application. This systematic review will appraise the evidence for quality indicators (QIs) of CRRT care in critically ill patients.

METHODS

Ovid MEDLINE, Ovid EMBASE, CINAHL, and the Cochrane Library including the Cochrane Database of Systematic Reviews, the Cochrane Central Register of Controlled Trials (CENTRAL), and databases from the National Information Center of Health Services Research and Health Care Technology will be searched for original studies involving QIs in CRRT. Gray literature sources will be searched for technical reports, practice guidelines, and conference proceedings. Websites of relevant organizations will be identified, and industry leaders in the development and marketing of CRRT technology and non-profit organizations that represent key opinion leads in the use of CRRT will be contacted. We will search the Agency of Healthcare Research and Quality National Quality Measures Clearinghouse for CRRT-related QIs. Studies will be included if they contain quality measures, occur in critically ill patients, and are associated with CRRT. Analysis will be primarily descriptive. Each QI will be evaluated for importance, scientific acceptability, usability, and feasibility using the four criteria proposed by the United States Strategic Framework Board for a National Quality Measurement and Reporting System. Finally, QIs will be appraised for their potential operational characteristics, for their potential to be integrated into electronic medical records, and on their affordability, if applicable.

DISCUSSION

This systematic review will comprehensively identify and synthesize QIs in CRRT. The results of this study will fuel the development of an inventory of essential QIs to support the appropriate, safe, and efficient delivery of CRRT in critically ill patients.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42015015530.

Impact of socio-economic status on hospital length of stay following injury: a multicenter cohort study

BACKGROUND

Injury is second only to cardiovascular disease in terms of acute care costs in North America. One key to improving injury care efficiency is to generate knowledge on the determinants of resource use. Socio-economic status (SES) is a documented risk factor for injury severity and mortality but its impact on length of stay (LOS) for injury admissions is unknown. This study aimed to examine the relationship between SES and LOS following injury. This multicenter retrospective cohort study was based on adults discharged alive from any trauma center (2007-2012; 57 hospitals; 65,486 patients) in a Canadian integrated provincial trauma system. SES was determined using ecological indices of material and social deprivation. Mean differences in LOS adjusted for age, gender, comorbidities, and injury severity were generated using multivariate linear regression.

RESULTS

Mean LOS was 13.5 days. Patients in the highest quintile of material/social deprivation had a mean LOS 0.5 days (95 % CI 0.1-0.9)/1.4 days (1.1-1.8) longer than those in the lowest quintile. Patients in the highest quintiles of both social and material deprivation had a mean LOS 2.6 days (1.8-3.5) longer than those in the lowest quintiles.

CONCLUSIONS

Results suggest that patients admitted for traumatic injury who suffer from high social and/or material deprivation have longer acute care LOS in a universal-access health care system. The reasons behind observed differences need to be further explored but may indicate that discharge planning should take patient SES into consideration.

Prospective cohort study protocol to describe the transfer of patients from intensive care units to hospital wards

INTRODUCTION

The transfer of patient care between the intensive care unit (ICU) and the hospital ward is associated with increased risk of medical error and adverse events. This study will describe patient transfer from ICU to hospital ward by documenting (1) patient, family and provider experiences related to ICU transfer, (2) communication between stakeholders involved in ICU transfer, (3) adverse events that follow ICU transfer and (4) opportunities to improve ICU to hospital ward transfer.

METHODS

This is a mixed methods prospective observational study of ICU to hospital ward transfer practices in 10 ICUs across Canada. We will recruit 50 patients at each site (n=500) who are transferred from ICU to hospital ward, and distribute surveys to enrolled patients, family members, and healthcare providers (ICU and ward physicians and nurses) after patient transfer. A random sample of 6 consenting study participants (patients, family members, healthcare providers) from each study site (n=60) will be offered an opportunity to participate in interviews to further describe stakeholders' experience with ICU to hospital ward transfer. We will abstract information from patient health records to identify clinical data and use of transfer tools, and identify adverse events that are related to the transfer.

ETHICS AND DISSEMINATION

Research ethics board approval has been obtained at the coordinating study centre (UofC REB13-0021) and 5 study sites (UofA Pro00050646; UBC-PHC H14-01667; Sunnybrook 336-2014; QCH 14-07; Sherbrooke 14-172). Dissemination of the findings will provide a comprehensive description of transfer from ICU to hospital ward in Canada including the uptake of validated or local transfer tools, a conceptual framework of the experiences and needs of stakeholders in the ICU transfer process, a summary of adverse events experienced by patients after transfer from ICU to hospital ward, and opportunities to guide quality improvement efforts.

A retrospective cohort study of age-based differences in the care of hospitalized patients with sudden clinical deterioration

PURPOSE

The proportion of elderly patients is increasing, but it is unknown if there are age-based differences in care of hospitalized patients with sudden clinical deterioration. We sought to examine the relation between patient age and care for hospitalized patients experiencing sudden clinical deterioration.

METHODS

We identified hospitalized adults (n = 5103) in 4 hospitals with sudden clinical deteriorations triggering medical emergency team (MET) activation between January 1, 2007, and December 31, 2009. We compared intensive care unit (ICU) admission rates (within 2 hours of MET activation), goals of care (resuscitative vs nonresuscitative), and hospital mortality according to age (<50, 50-64, 65-79, and 80+ years), adjusting for patient, physician, and hospital characteristics.

RESULTS

Age was associated with decreased likelihood of admission to ICU (P < .0001) and increased likelihood of change in goals of care (P < .0001). Compared to patients younger than 50 years, patients 80 years or older had 67% lower odds of ICU admission (odds ratio, 0.33; 95% confidence interval, 0.26-0.41) and 587% higher odds (odds ratio, 6.87; 95% confidence interval, 4.20-11.26) of having their goals of care changed to exclude resuscitation. Hospital mortality was associated with patient age, ranging from 15% to 46% (P < .0001).

CONCLUSIONS

Patient age is associated with care for hospitalized patients with sudden clinical deterioration, suggesting that strategies to guide care of elderly patients during MET activation may be beneficial.

Improving End-of-Life Communication and Decision Making: The Development of a Conceptual Framework and Quality Indicators

CONTEXT

The goal of end-of-life (EOL) communication and decision making is to create a shared understanding about a person's values and treatment preferences that will lead to a plan of care that is consistent with these values and preferences. Improvements in communication and decision making at the EOL have been identified as a high priority from a patient and family point of view.

OBJECTIVES

The purpose of this study was to develop quality indicators related to EOL communication and decision making.

METHODS

We convened a multidisciplinary panel of experts to develop definitions, a conceptual framework of EOL communication and decision making, and quality indicators using a modified Delphi method. We generated a list of potential items based on literature review and input from panel members. Panel members rated the items using a seven-point Likert scale (1 = very little importance to 7 = extremely important) over four rounds of review until consensus was achieved.

RESULTS

About 24 of the 28 panel members participated in all four rounds of the Delphi process. The final list of quality indicators comprised 34 items, divided into the four categories of our conceptual framework: Advance care planning (eight items), Goals of care discussions (13 items), Documentation (five items), and Organization/System aspects (eight items). Eleven items were rated "extremely important" (median score). All items had a median score of five (moderately important) or greater.

CONCLUSION

We have developed definitions, a conceptual framework, and quality indicators that researchers and health care decision makers can use to evaluate and improve the quality of EOL communication and decision making.

Effect of published scientific evidence on glycemic control in adult intensive care units

IMPORTANCE

Little is known about the deadoption of ineffective or harmful clinical practices. A large clinical trial (the Normoglycemia in Intensive Care Evaluation and Survival Using Glucose Algorithm Regulation [NICE-SUGAR] trial) demonstrated that strict blood glucose control (tight glycemic control) in patients admitted to adult intensive care units (ICUs) should be deadopted; however, it is unknown whether deadoption occurred and how it compared with the initial adoption.

OBJECTIVE

To evaluate glycemic control in critically ill patients before and after the publication of clinical trials that initially suggested that tight glycemic control reduced mortality (Leuven I) but subsequently demonstrated that it increased mortality (NICE-SUGAR).

DESIGN, SETTING, AND PARTICIPANTS

Interrupted time-series analysis of 353,464 patients admitted to 113 adult ICUs from January 1, 2001, through December 31, 2012, in the United States using data from the Acute Physiology and Chronic Health Evaluation database.

MAIN OUTCOMES AND MEASURES

The physiologically most extreme blood glucose level on day 1 of ICU admission defined glycemic control as tight control (glucose level, 80-110 mg/dL; to convert to millimoles per liter, multiply by 0.0555), hypoglycemia (glucose level, <70 mg/dL), and hyperglycemia (glucose level, ≥180 mg/dL). Temporal changes in each marker were examined using mixed-effects segmented linear regression.

RESULTS

Before the publication of Leuven I, 17.2% (95% CI, 16.2%-18.2%) of ICU admissions had tight glycemic control, 3.0% (95% CI, 2.6%-3.5%) had hypoglycemia, and 40.2% (95% CI, 38.8%-41.5%) had hyperglycemia. After the publication of Leuven I, there were significant increases in the relative proportion of admissions with tight glycemic control (1.7% per quarter; 95% CI, 1.2%-2.3%; P<.001) and hypoglycemia (2.5% per quarter; 95% CI, 1.9%-3.2%; P<.001) and decreases in those with hyperglycemia (0.6% per quarter; 95% CI, 0.4%-0.9%; P<.001). Following the publication of NICE-SUGAR, there was no change in the proportion of patients with tight glycemic control or hyperglycemia. There was an immediate decrease in the relative proportion of patients with hypoglycemia (22.4%; 95% CI, 13.2%-30.1%; P<.001) but no subsequent change over time.

CONCLUSIONS AND RELEVANCE

Among patients admitted to adult ICUs in the United States, there was a slow steady adoption of tight glycemic control following publication of a clinical trial that suggested benefit, with little to no deadoption following a subsequent trial that demonstrated harm. There is an urgent need to understand and promote the deadoption of ineffective clinical practices.

Evidence-based design in an intensive care unit: end-user perceptions

Background

The objective of this study was to describe end-user impressions and experiences in a new intensive care unit built using evidence-based design.

Methods

This qualitative study was comprised of early (2–3 months after opening) and late (12–15 months after opening) phase individual interviews with end-users (healthcare providers, support staff, and patient family members) of the newly constructed Foothills Medical Centre intensive care unit in Calgary, Canada. The study unit was the recipient of the Society of Critical Care Medicine Design Citation award in 2012.

Results

We conducted interviews with thirty-nine ICU end-users, twenty-four in the early phase and fifteen in the late phase. We identified four themes (eleven sub-themes): atmosphere (abundant natural light and low noise levels), physical spaces (single occupancy rooms, rooms clustered into clinical pods, medication rooms, and tradeoffs of larger spaces), family participation in care (family support areas and social networks), and equipment (usability, storage, and providers connectivity). Abundant natural light was the design feature most frequently associated with a pleasant atmosphere. Participants emphasized the tradeoffs of size and space, and reported that the benefits of additional space (e.g., fewer interruptions due to less noise) out-weighed the disadvantages (e.g., greater distances between patients, families and providers). End-users advised that local patient care policies (e.g., number of visitors allowed at a time) and staffing needed to be updated to reflect the characteristics of the new facility design.

Conclusions

End-users identified design elements for creating a pleasant atmosphere, attention to the tradeoffs of space and size, designing family support areas to encourage family participation in care, and updating patient care policies and staffing to reflect the new physical space as important aspects to consider when building intensive care units. Evidence-based design may optimize ICU structure for patients, patient families and providers.

Electronic supplementary material

The online version of this article (doi:10.1186/s12871-015-0038-4) contains supplementary material, which is available to authorized users.

A scoping review of patient discharge from intensive care: opportunities and tools to improve care

BACKGROUND

We conducted a scoping review to systematically review the literature reporting patient discharge from ICUs, identify facilitators and barriers to high-quality care, and describe tools developed to improve care.

METHODS

We searched Medline, Embase, CINAHL, and the Cochrane Central Register of Controlled Trials. Data were extracted on the article type, study details for research articles, patient population, phase of care during discharge, and dimensions of health-care quality.

RESULTS

From 8,154 unique publications we included 224 articles. Of these, 131 articles (58%) were original research, predominantly case series (23%) and cohort (16%) studies; 12% were narrative reviews; and 11% were guidelines/policies. Common themes included patient and family needs/experiences (29% of articles) and the importance of complete and accurate information (26%). Facilitators of high-quality care included provider-patient communication (30%), provider-provider communication (25%), and the use of guidelines/policies (29%). Patient and family anxiety (21%) and limited availability of ICU and ward resources (26%) were reported barriers to high-quality care. A total of 47 tools to facilitate patient discharge from the ICU were identified and focused on patient evaluation for discharge (29%), discharge planning and teaching (47%), and optimized discharge summaries (23%).

CONCLUSIONS

Common themes, facilitators and barriers related to patient and family needs/experiences, communication, and the use of guidelines/policies to standardize patient discharge from ICU transcend the literature. Candidate tools to improve care are available; comparative evaluation is needed prior to broad implementation and could be tested through local quality-improvement programs.

Bacteremia Antibiotic Length Actually Needed for Clinical Effectiveness (BALANCE): study protocol for a pilot randomized controlled trial

Background

Bacteremia is a leading cause of mortality and morbidity in critically ill adults. No previous randomized controlled trials have directly compared shorter versus longer durations of antimicrobial treatment in these patients.

Methods/Design

This is a multicenter pilot randomized controlled trial in critically ill patients with bacteremia. Eligible patients will be adults with a positive blood culture with pathogenic bacteria identified while in the intensive care unit. Eligible, consented patients will be randomized to either 7 days or 14 days of adequate antimicrobial treatment for the causative pathogen(s) detected on blood cultures. The diversity of pathogens and treatment regimens precludes blinding of patient and clinicians, but allocation concealment will be extended to day 7 and outcome adjudicators will be blinded. The primary outcome for the main trial will be 90-day mortality. The primary outcome for the pilot trial is feasibility defined by (i) rate of recruitment exceeding 1 patient per site per month and (ii) adherence to treatment duration protocol ≥ 90%. Secondary outcomes include intensive care unit, hospital and 90-day mortality rates, relapse rates of bacteremia, antibiotic-related side effects and adverse events, rates of Clostridium difficile infection, rates of secondary infection or colonization with antimicrobial resistant organisms, ICU and hospital lengths of stay, mechanical ventilation and vasopressor duration in intensive care unit, and procalcitonin levels on the day of randomization, and day 7, 10 and 14 after the index blood culture.

Discussion

The BALANCE pilot trial will inform the design and execution of the subsequent BALANCE main trial, which will evaluate shorter versus longer duration treatment for bacteremia in critically ill patients, and thereby provide an evidence basis for treatment duration decisions for these infections.

Trial registration

The Pilot Trial was registered on 26 September 2014. Trial registration number: NCT02261506.

Electronic supplementary material

The online version of this article (doi:10.1186/s13063-015-0688-z) contains supplementary material, which is available to authorized users.

Critical care capacity in Canada: results of a national cross-sectional study

INTRODUCTION

Intensive Care Units (ICUs) provide life-supporting treatment; however, resources are limited, so demand may exceed supply in the event of pandemics, environmental disasters, or in the context of an aging population. We hypothesized that comprehensive national data on ICU resources would permit a better understanding of regional differences in system capacity.

METHODS

After the 2009-2010 Influenza A (H1N1) pandemic, the Canadian Critical Care Trials Group surveyed all acute care hospitals in Canada to assess ICU capacity. Using a structured survey tool administered to physicians, respiratory therapists and nurses, we determined the number of ICU beds, ventilators, and the ability to provide specialized support for respiratory failure.

RESULTS

We identified 286 hospitals with 3170 ICU beds and 4982 mechanical ventilators for critically ill patients. Twenty-two hospitals had an ICU that routinely cared for children; 15 had dedicated pediatric ICUs. Per 100,000 population, there was substantial variability in provincial capacity, with a mean of 0.9 hospitals with ICUs (provincial range 0.4-2.8), 10 ICU beds capable of providing mechanical ventilation (provincial range 6-19), and 15 invasive mechanical ventilators (provincial range 10-24). There was only moderate correlation between ventilation capacity and population size (coefficient of determination (R(2)) = 0.771).

CONCLUSION

ICU resources vary widely across Canadian provinces, and during times of increased demand, may result in geographic differences in the ability to care for critically ill patients. These results highlight the need to evolve inter-jurisdictional resource sharing during periods of substantial increase in demand, and provide background data for the development of appropriate critical care capacity benchmarks.

Admission of the very elderly to the intensive care unit: family members' perspectives on clinical decision-making from a multicenter cohort study

BACKGROUND

Little is known about the perspectives and experiences of family members of very elderly patients who are admitted to the intensive care unit.

AIM

To describe family members' perspectives about care provided to very elderly critically ill patients.

DESIGN

Multicenter, prospective, cohort study.

PARTICIPANTS AND SETTING

In total, 535 family members of patients aged 80 years or older admitted to 22 intensive care units for more than 24 h.

RESULTS

Family members reported that the "patient be comfortable and suffer as little as possible" was their most important value and "the belief that life should be preserved at all costs" was their least important value considered in making treatment decisions. Most family members (57.9%) preferred that life support be used for their family member, whereas 24.1% preferred comfort measures only, and 14.4% were unsure of their treatment preferences. Only 57.3% reported that a doctor had talked to them about treatment options for the patient. Overall, 29.7% of patients received life-sustaining treatments for more than 7 days and 50.3% of these died in hospital. Families were most satisfied with the skill and competency of nurses and least satisfied with being included and supported in the decision-making process and with their sense of control over the patient's care.

CONCLUSION

There is incongruity between family values and preferences for end-of-life care and actual care received for very elderly patients who are admitted to the intensive care unit. Deficiencies in communication and decision-making may be associated with prolonged use of life-sustaining treatments in very elderly critically ill patients, many of whom ultimately die.

Implementation and Evaluation of a Wiki Involving Multiple Stakeholders Including Patients in the Promotion of Best Practices in Trauma Care: The WikiTrauma Interrupted Time Series Protocol

Background

Trauma is the most common cause of mortality among people between the ages of 1 and 45 years, costing Canadians 19.8 billion dollars a year (2004 data), yet half of all patients with major traumatic injuries do not receive evidence-based care, and significant regional variation in the quality of care across Canada exists. Accordingly, our goal is to lead a research project in which stakeholders themselves will adapt evidence-based trauma care knowledge tools to their own varied institutional contexts and cultures. We will do this by developing and assessing the combined impact of WikiTrauma, a free collaborative database of clinical decision support tools, and Wiki101, a training course teaching participants how to use WikiTrauma. WikiTrauma has the potential to ensure that all stakeholders (eg, patients, clinicians, and decision makers) can all contribute to, and benefit from, evidence-based clinical knowledge about trauma care that is tailored to their own needs and clinical setting.

Objective

Our main objective will be to study the combined effect of WikiTrauma and Wiki101 on the quality of care in four trauma centers in Quebec.

Methods

First, we will pilot-test the wiki with potential users to create a version ready to test in practice. A rapid, iterative prototyping process with 15 health professionals from nonparticipating centers will allow us to identify and resolve usability issues prior to finalizing the definitive version for the interrupted time series. Second, we will conduct an interrupted time series to measure the impact of our combined intervention on the quality of care in four trauma centers that will be selected—one level I, one level II, and two level III centers. Participants will be health care professionals working in the selected trauma centers. Also, five patient representatives will be recruited to participate in the creation of knowledge tools destined for their use (eg, handouts). All participants will be invited to complete the Wiki101 training and then use, and contribute to, WikiTrauma for 12 months. The primary outcome will be the change over time of a validated, composite, performance indicator score based on 15 process performance indicators found in the Quebec Trauma Registry.

Results

This project was funded in November 2014 by the Canadian Medical Protective Association. We expect to start this trial in early 2015 and preliminary results should be available in June 2016. Two trauma centers have already agreed to participate and two more will be recruited in the next months.

Conclusions

We expect that this study will add important and unique evidence about the effectiveness, safety, and cost savings of using collaborative platforms to adapt knowledge implementation tools across jurisdictions.

The use of cognitive interviews to revise the Quality of Trauma Care Patient-Reported Experience Measure (QTAC-PREM)

PURPOSE

The "Quality of Trauma Care Patient-Reported Experience Measure" is the first measure of patient experiences with overall injury care. The objective of this study was to use cognitive interviews to inform revision of the measure into a parsimonious set of items that function as intended, in preparation for multicenter testing.

METHODS

Concurrent and retrospective cognitive interviews with injured patients (n = 17) and family members (n = 13) using semi-structured interview guides. Responses were analyzed using thematic analysis.

RESULTS

Six broad themes were identified and guided revisions: (1) participants did not have the information to answer items (n = 9); (2) items were ambiguous or were inconsistently interpreted (n = 13); (3) items did not measure the intended constructs (n = 6); (4) items included assumptions about healthcare processes (n = 4); (5) items measured non-priority aspects of injury care (n = 8); and (6) items were redundant (n = 5). Two issues resulted in key conceptual and content changes: participants' difficulty to evaluate pre-hospital, emergency department, and intensive care unit services due to recall issues and the challenge to evaluate the effectiveness and equity of care. In total, 39 items were deleted, 28 new items developed, and the final instrument included 63 items.

CONCLUSIONS

Our results informed changes to item content, format, and response options. This study highlights key issues to consider when incorporating patient/family perspectives into quality measurement, most notably, that few participants can assess the quality of care in the pre-hospital and emergency department phases of care and that novel methods are needed to evaluate the effectiveness and equity of care.

A meta-analysis to derive literature-based benchmarks for readmission and hospital mortality after patient discharge from intensive care

Introduction

We sought to derive literature-based summary estimates of readmission to the ICU and hospital mortality among patients discharged alive from the ICU.

Methods

We searched MEDLINE, Embase, CINAHL and the Cochrane Central Register of Controlled Trials from inception to March 2013, as well as the reference lists in the publications of the included studies. We selected cohort studies of ICU discharge prognostic factors that in which readmission to the ICU or hospital mortality among patients discharged alive from the ICU was reported. Two reviewers independently abstracted the number of patients readmitted to the ICU and hospital deaths among patients discharged alive from the ICU. Fixed effects and random effects models were used to estimate the pooled cumulative incidence of ICU readmission and the pooled cumulative incidence of hospital mortality.

Results

The analysis included 58 studies (n = 2,073,170 patients). The majority of studies followed patients until hospital discharge (n = 46 studies) and reported readmission to the ICU (n = 46 studies) or hospital mortality (n = 49 studies). The cumulative incidence of ICU readmission was 4.0 readmissions (95% confidence interval (CI), 3.9 to 4.0) per 100 patient discharges using fixed effects pooling and 6.3 readmissions (95% CI, 5.6 to 6.9) per 100 patient discharges using random effects pooling. The cumulative incidence of hospital mortality was 3.3 deaths (95% CI, 3.3 to 3.3) per 100 patient discharges using fixed effects pooling and 6.8 deaths (95% CI, 6.1 to 7.6) per 100 patient discharges using random effects pooling. There was significant heterogeneity for the pooled estimates, which was partially explained by patient, institution and study methodological characteristics.

Conclusions

Using current literature estimates, for every 100 patients discharged alive from the ICU, between 4 and 6 patients on average will be readmitted to the ICU and between 3 and 7 patients on average will die prior to hospital discharge. These estimates can inform the selection of benchmarks for quality metrics of transitions of patient care between the ICU and the hospital ward.

Quality improvement practices used by teaching versus non-teaching trauma centres: analysis of a multinational survey of adult trauma centres in the United States, Canada, Australia, and New Zealand

Background

Although studies have suggested that a relationship exists between hospital teaching status and quality improvement activities, it is unknown whether this relationship exists for trauma centres.

Methods

We surveyed 249 adult trauma centres in the United States, Canada, Australia, and New Zealand (76% response rate) regarding their quality improvement programs. Trauma centres were stratified into two groups (teaching [academic-based or –affiliated] versus non-teaching) and their quality improvement programs were compared.

Results

All participating trauma centres reported using a trauma registry and measuring quality of care. Teaching centres were more likely than non-teaching centres to use indicators whose content evaluated treatment (18% vs. 14%, p < 0.001) as well as the Institute of Medicine aim of timeliness of care (23% vs. 20%, p < 0.001). Non-teaching centres were more likely to use indicators whose content evaluated triage and patient flow (15% vs. 18%, p < 0.001) as well as the Institute of Medicine aim of efficiency of care (25% vs. 30%, p < 0.001). While over 80% of teaching centres used time to laparotomy, pulmonary complications, in hospital mortality, and appropriate admission physician/service as quality indicators, only two of these (in hospital mortality and appropriate admission physician/service) were used by over half of non-teaching trauma centres. The majority of centres reported using morbidity and mortality conferences (96% vs. 97%, p = 0.61) and quality of care audits (94% vs. 88%, p = 0.08) while approximately half used report cards (51% vs. 43%, p = 0.22).

Conclusions

Teaching and non-teaching centres reported being engaged in quality improvement and exhibited largely similar quality improvement activities. However, differences exist in the type and frequency of quality indicators utilized among teaching versus non-teaching trauma centres.

Efficacy and safety of damage control in experimental animal models of injury: protocol for a systematic review and meta-analysis

BACKGROUND

Although abbreviated surgery with planned reoperation (damage control surgery) is now widely used to manage major trauma patients, the procedure and its component interventions have not been evaluated in randomized controlled trials (RCTs). While some have suggested the need for such trials, they are unlikely to be conducted because of patient safety concerns. As animal studies may overcome several of the limitations of existing observational damage control studies, the primary objective of this study is to evaluate the efficacy and safety of damage control versus definitive surgery in experimental animal models of injury.

METHODS/DESIGN

We will search electronic databases (Medline, Embase, PubMed, Web of Science, Scopus, and the Cochrane Library), conference abstracts, personal files, and bibliographies of included articles. We will include RCTs and prospective cohort studies that utilized an animal model of injury and compared damage control surgery (or specific damage control interventions or adjuncts) to definitive surgery (or specific definitive surgical interventions). Two investigators will independently evaluate the internal and external/construct validity of individual studies. The primary outcome will be all-cause mortality. Secondary outcomes will include blood loss amounts; blood pressures and heart rates; urinary outputs; core body temperatures; arterial lactate, pH, and base deficit/excess values; prothrombin and partial thromboplastin times; international normalized ratios; and thromboelastography (TEG) results/activated clotting times. We will calculate summary relative risks (RRs) of mortality and mean differences (for continuous outcomes) using DerSimonian and Laird random effects models. Heterogeneity will be explored using subgroup meta-analysis and meta-regression. We will assess for publication bias using funnel plots and Begg's and Egger's tests. When evidence of publication bias exists, we will use the Duval and Tweedie trim and fill method to estimate the potential influence of this bias on pooled summary estimates.

DISCUSSION

This study will evaluate the efficacy and safety of damage control in experimental animal models of injury. Study results will be used to guide future clinical evaluations of damage control surgery, determine which animal study outcomes may potentially be generalizable to the clinical setting, and to provide guidelines to strengthen the conduct and relevance of future pre-clinical studies.

Hypothermia in Adult ICUs: Changing Incidence But Persistent Risk Factor for Mortality

BACKGROUND

This study examined whether hypothermia (< 36.0°C) incidence among critically ill patients varied over time, the determinants of change, and the associated risk for ICU mortality.

METHODS

Interrupted time series analysis among adults admitted to ICUs in Calgary, Canada over 8.5 years. Changes in the incidence of hypothermia within the first 24 hours of ICU admission were modelled using segmented regression.

RESULTS

Among 15,291 first admissions to ICU, hypothermia incidence decreased from 29% to 21% during the study period. Implementation of a new temporal artery thermometer (TAT) was associated with the majority of the decrease in incidence (10%; 95% CI 7.1-13%; P < .0001). However, subgroup analysis revealed important differences between medical and surgical patients. Hypothermia incidence decreased among surgical patients before TAT implementation (0.4% per quarter, 95% CI 0.1-0.7%, P = .009), but not after, whereas in medical patients, the incidence increased after (1.0% per quarter, 95% CI 0.6-1.4%, P < .0001) but not before TAT implementation. Segmented logistic regression suggested that increases in the proportion of patients with non-traumatic neurologic admission diagnoses were associated with hypothermia incidence among medical patients, whereas there was no measurable clinical factor associated with the observed time trends among surgical patients. Hypothermia at ICU admission was independently associated with ICU mortality in medical and surgical patients throughout the entire study.

CONCLUSION

The incidence of hypothermia at ICU admission was dependent on medical versus surgical status, and the method of non-invasive temperature measurement, but was persistently associated with ICU mortality.

Examination of patterns in intubation by an emergency airway team at a large academic center: higher frequency during daytime hours

BACKGROUND

Emergency airway management represents an event with high acuity but unpredictable frequency and therefore presents a challenge for adequate staffing. Given circadian and seasonal variations, we hypothesized that the majority of emergency airway events happen after normal working hours and during the winter months.

METHODS

A retrospective analysis of 1,482 intubations by an emergency airway team over a 3-y period was performed. The data were obtained from hospitalized patients who required emergency airway management in a large academic medical center. A database of emergency airway consultations was analyzed for intubation time and date information, as well as geographic location within the hospital.

RESULTS

A greater percentage of emergency intubations occurred during day shift hours (7 am to 7 pm) compared with night shift hours, 57% and 43%, respectively (P < .01). The monthly frequency of intubations was not uniformly distributed across the year (P < .01). The greatest percentage of intubations was performed in February (10.9%), with the lowest being recorded in August (4.7%).

CONCLUSIONS

Emergency airway service utilization is highest during daytime hours, with seasonal variations composed of higher consults in the winter and lower consults in the summer.

Measuring quality of care: considering measurement frameworks and needs assessment to guide quality indicator development

OBJECTIVE

In this article, we describe one approach for evaluating the value of developing quality indicators (QIs).

STUDY DESIGN AND SETTING

We focus on describing how to develop a conceptual measurement framework and how to evaluate the need to develop QIs. A recent process to develop QIs for injury care is used for illustration.

RESULTS

Key steps to perform before developing QIs include creating a conceptual measurement framework, determining stakeholder perspectives, and performing a QI needs assessment. QI development is likely to be most beneficial for medical problems for which quality measures have not been previously developed or are inadequate and that have a large burden of illness to justify quality measurement and improvement efforts, are characterized by variable or substandard care such that opportunities for improvement exist, and have evidence that improving quality of care will improve patient health.

CONCLUSION

By developing a conceptual measurement framework and performing a QI needs assessment, developers and users of QIs can target their efforts.

Measuring quality of care: considering conceptual approaches to quality indicator development and evaluation

OBJECTIVE

In this article, we describe one approach for developing and evaluating quality indicators.

STUDY DESIGN AND SETTING

We focus on describing different conceptual approaches to quality indicator development, review one approach for developing quality indicators, outline how to evaluate quality indicators once developed, and discuss quality indicator maintenance.

RESULTS

The key steps for developing quality indicators include specifying a clear goal for the indicators; using methodologies to incorporate evidence, expertise, and patient perspectives; and considering contextual factors and logistics of implementation. The Strategic Framework Board and the National Quality Measure Clearinghouse have developed criteria for evaluating quality indicators that complement traditional psychometric evaluations. Optimal strategies for quality indicator maintenance and dissemination have not been determined, but experiences with clinical guideline maintenance may be informative.

CONCLUSION

For quality indicators to effectively guide quality improvement efforts, they must be developed, evaluated, maintained, and implemented using rigorous evidence-informed practices.

A study protocol for performance evaluation of a new academic intensive care unit facility: impact on patient care

BACKGROUND

Healthcare facility construction is increasing because of population demand and the need to replace ageing infrastructure. Research suggests that there may be a relationship between healthcare environment and patient care. To date, most evaluations of new healthcare facilities are derived from techniques used in other industries and focus on physical, financial and architectural performance. However, few studies have evaluated the impact of healthcare facility design on processes and outcomes of patient care.

STUDY AIMS

The primary objective of this study was to investigate the impact of relocation to a new intensive care unit (ICU) facility on clinical performance measures. This study also proposes to develop and test a framework for facility performance evaluation using accepted ICU design guidelines and Donabedian's model for healthcare quality.

METHODS AND ANALYSIS

We will utilise a mixed-methods, observational, retrospective, controlled, before-and-after design to take advantage of the quasiexperimental conditions created with the construction of a new ICU facility in Calgary, Canada. For the qualitative substudy, we will conduct individual interviews with end-users to understand their impressions and experiences with the new environment and perform thematic analysis. For the quantitative substudy, we will compare process of care indicators and patient outcomes for the 12-month period before and after relocation to the new facility. Two other local ICU facilities that did not undergo structural change during the study period will serve as controls. We will triangulate qualitative and quantitative results utilising a novel framework.

ETHICS AND DISSEMINATION

The results of this study will contribute in understanding the impact of new ICU facilities on clinical performance measures centred on patients, their families and healthcare providers. The framework will complement existing building performance evaluation techniques and help healthcare administrators plan new ICU facilities. The University of Calgary Research Ethics Board approved this study protocol.

A systematic review of tools for predicting severe adverse events following patient discharge from intensive care units

Introduction

The discharge of patients from the intensive care unit (ICU) to a hospital ward is a common transition of care that is associated with error and adverse events. Risk stratification tools may help identify high-risk patients for targeted interventions, but it is unclear if proper tools have been developed.

Methods

We searched Ovid EMBASE, Ovid MEDLINE, CINAHL, PUBMED and Cochrane Central Register of Controlled Trials from the earliest available date through March 2013, plus reference lists and citations of all studies included in the systematic review. Cohort studies were selected that described the derivation, validation or clinical impact of tools for predicting medical emergency team activation, ICU readmission or mortality following patient discharge from the ICU. Data were extracted on the study design, setting, population, sample size, tool (components, measurement properties) and outcomes.

Results

The literature search identified 9,926 citations, of which eight studies describing eight tools met the inclusion criteria. Reported outcomes included ICU readmission (n = 4 studies), hospital mortality (n = 3 studies) and both ICU readmission and hospital mortality (n = 1 studies). Seven of the tools were comprised of distinct measurable component variables, while one tool used subjective scoring of patient risk by intensive care physicians. The areas under receiver operator curves were reported for all studies and ranged from 0.66 to 0.92. A single study provided a direct comparative analysis between two tools. We did not find any studies evaluating the impact of risk prediction on processes and outcomes of care.

Conclusions

Eight risk stratification tools for predicting severe adverse events following patient discharge from ICU have been developed, but have undergone limited comparative evaluation. Although risk stratification tools may help clinician decision-making, further evaluation of the existing tools' effects on care is required prior to clinical implementation.