Secondary EMR data for quality improvement and research: A comparison of manual and electronic data collection from an integrated critical care electronic medical record system

Mapping the Clinical Pathway for Patients Undergoing Vestibular Schwannoma Resection

BACKGROUND

The introduction of the electronic health record (EHR) has improved the collection and storage of patient information, enhancing clinical communication and academic research. However, EHRs are limited by data quality and the time-consuming task of manual data extraction. This study aimed to use process mapping to help identify critical data entry points within the clinical pathway for patients with vestibular schwannoma (VS) ideal for structured data entry and automated data collection to improve patient care and research.

METHODS

A 2-stage methodology was used at a neurosurgical unit. Process maps were developed using semi-structured interviews with stakeholders in the management of VS resection. Process maps were then retrospectively validated against EHRs for patients admitted between August 2019 and December 2021, establishing critical data entry points.

RESULTS

In the process map development, 20 stakeholders were interviewed. Process maps were validated against EHRs of 36 patients admitted for VS resection. Operative notes, surgical inpatient reviews (including ward rounds), and discharge summaries were available for all patients, representing critical data entry points. Areas for documentation improvement were in the preoperative clinics (30/36; 83.3%), preoperative skull base multidisciplinary team (32/36; 88.9%), postoperative follow-up clinics (32/36; 88.9%), and postoperative skull base multidisciplinary team meeting (29/36; 80.6%).

CONCLUSIONS

This is a first use to our knowledge of a 2-stage methodology for process mapping the clinical pathway for patients undergoing VS resection. We identified critical data entry points that can be targeted for structured data entry and for automated data collection tools, positively impacting patient care and research.

Multicentre implementation of a quality improvement initiative to reduce delirium in adult intensive care units: An interrupted time series analysis

PURPOSE

The ABCDEF bundle may improve delirium outcomes among intensive care unit (ICU) patients, however population-based studies are lacking. In this study we evaluated effects of a quality improvement initiative based on the ABCDEF bundle in adult ICUs in Alberta, Canada.

MATERIAL AND METHODS

We conducted a pre-post, registry-based clinical trial, analysed using interrupted time series methodology. Outcomes were examined via segmented linear regression using mixed effects models. The main data source was a population-based electronic health record.

RESULTS

44,405 consecutive admissions (38,400 unique patients) admitted to 15 general medical/surgical and/or neurologic adult ICUs between 2014 and 2019 were included. The proportion of delirium days per ICU increased from 30.24% to 35.31% during the pre-intervention period. After intervention implementation it decreased significantly (bimonthly decrease of 0.34%, 95%CI 0.18-0.50%, p < 0.01) from 33.48% (95%CI 29.64-37.31%) in 2017 to 28.74% (95%CI 25.22-32.26%) in 2019. The proportion of sedation days using midazolam demonstrated an immediate decrease of 7.58% (95%CI 4.00-11.16%). There were no significant changes in duration of invasive ventilation, proportion of partial coma days, ICU mortality, or potential adverse events.

CONCLUSIONS

An ABCDEF delirium initiative was implemented on a population-basis within adult ICUs and was successful at reducing the prevalence of delirium.

Modelling the potential increase in eligible participants in clinical trials with inclusion of community intensive care unit patients in Alberta, Canada: a decision tree analysis

PURPOSE

Critical care research in Canada is conducted primarily in academically affiliated intensive care units (ICUs) with established research infrastructure. Efforts are made to engage community hospital ICUs in research, although the impacts of their inclusion in clinical research have never been explicitly quantified. We therefore sought to determine the number of additional eligible patients that could be recruited into critical care trials and the change in time to study completion if community ICUs were included in clinical research.

METHODS

We conducted a decision tree analysis using 2018 Alberta Health Services data. Patient demographics and clinical characteristics for all ICU patients were compared against eligibility criteria from ten landmark, randomized, multicentre critical care trials. Individual patients from academic and community ICUs were assessed for eligibility in each of the ten studies, and decision tree analysis models were built based on prior inclusion and exclusion criteria from those trials.

RESULTS

The number of potentially eligible patients for the ten trials ranged from 2,082 to 10,157. Potentially eligible participants from community ICUs accounted for 40.0% of total potentially eligible participants. The recruitment of community ICU patients in trials would have increased potential enrolment by an average of 64.0%. The inclusion of community ICU patients was predicted to decrease time to trial completion by a mean of 14 months (43% reduction).

CONCLUSION

Inclusion of community ICU patients in critical care research trials has the potential to substantially increase enrolment and decrease time to trial completion.

Patients' perceptions, experiences, and satisfaction with e-prescribing system: A cross-sectional study

INTRODUCTION

Electronic prescribing (e-prescribing) systems have the potential to increase the quality of care and reduce costs. Officially, since 22 December 2021, e-prescribing has been mandated in Iran. This study aimed to investigate the patients' perceptions about the e-prescribing system.

METHODS

A descriptive-analytic cross-sectional study was conducted in 2023. The study sample comprised 394 patients who were referred to the pharmacies of five teaching hospitals. The sample size was estimated using Cochran's formula. Data collection was performed using a researcher-made questionnaire. The data were analyzed using descriptive (mean, standard deviation, frequency, and percentage) and analytic (Pearson and Spearman correlation, One-way ANOVA, and two-sample t-test) statistics.

RESULTS

About 85 % of the patients were aware of the e-prescribing system, and 70 % of them preferred the e-prescribing. Almost 57 % of the patients believed that e-prescribing did not impact their medication adherence. The mean score of patients' satisfaction with e-prescribing, patients' attitude toward e-prescribing, and the impact of e-prescribing on patient care was 3.91 ± 0.046, 3.45 ± 0.028, and 3.10 ± 0.050 out of 5, respectively. There was a significant fair correlation between the impact of e-prescribing on patient care and patients' attitude towards e-prescribing. Additionally, there was a significant but poor correlation between patient satisfaction with the impact of e-prescribing on patient care and patients' attitude toward e-prescribing (P < 0.05).

CONCLUSION

The majority of the patients demonstrated awareness of the e-prescribing system and expressed a preference for electronic prescribing. Patients reported overall positive satisfaction, as well as relatively positive perceptions and experiences with the evaluated e-prescribing system. From the patients' perspective, receiving the e-prescribing tracking code through SMS was the most popular method for tracking their prescriptions. A greater focus on patient engagement and considering their requirements and needs in the system are crucial to improve the delivery of patient-centered care.

Critical illness among patients experiencing homelessness: a retrospective cohort study

PURPOSE

To understand the epidemiology and healthcare use of critically ill patients experiencing homelessness compared to critically ill patients with stable housing.

METHODS

This retrospective population-based cohort study included adults admitted to any ICU in Alberta, Canada, for a 3-year period. Administrative and clinical data from the hospital, ICU and emergency department were used to examine healthcare resource use (processes of care, ICU and hospital length of stay, hospital readmission and emergency room visits). Regression was used to quantify differences in healthcare use by housing status.

RESULTS

2.3% (n = 1086) of patients admitted to the ICU were experiencing homelessness; these patients were younger, more commonly admitted for medical reasons and had fewer comorbidities compared to those with stable housing. Processes of care in the ICU were mostly similar, but healthcare use after ICU was different; patients experiencing homelessness who survived their index hospitalization were more than twice as likely to have a visit to the emergency department (OR = 2.3 times, 95% CI 2.0-2.6, < 0.001) or be readmitted to hospital (OR = 2.1, 95% CI 1.8-2.4, p < 0.001) within 30 days, and stayed 10.1 days longer in hospital (95% CI 8.6-11.6, p < 0.001), compared with those who have stable housing.

CONCLUSIONS

Patients experiencing homelessness have different characteristics at ICU admission and have similar processes of care in ICU, but their subsequent use of healthcare resources was higher than patients with stable housing. These findings can inform strategies to prepare patients experiencing homelessness for discharge from the ICU to reduce healthcare resource use after critical illness.

Protocol and statistical analysis plan for the identification and treatment of hypoxemic respiratory failure and acute respiratory distress syndrome with protection, paralysis, and proning: A type-1 hybrid stepped-wedge cluster randomised effectiveness-implementation study

Objective

To describe a study protocol and statistical analysis plan (SAP) for the identification and treatment of hypoxemic respiratory failure (HRF) and acute respiratory distress syndrome (ARDS) with protection, paralysis, and proning (TheraPPP) study prior to completion of recruitment, electronic data retrieval, and analysis of any data.

Design

TheraPPP is a stepped-wedge cluster randomised study evaluating a care pathway for HRF and ARDS patients. This is a type-1 hybrid effectiveness-implementation study design evaluating both intervention effectiveness and implementation; however primarily powered for the effectiveness outcome.

Setting

Seventeen adult intensive care units (ICUs) across Alberta, Canada.

Participants

We estimate a sample size of 18816 mechanically ventilated patients, with 11424 patients preimplementation and 7392 patients postimplementation. We estimate 2688 sustained ARDS patients within our study cohort.

Intervention

An evidence-based, stakeholder-informed, multidisciplinary care pathway called Venting Wisely that standardises diagnosis and treatment of HRF and ARDS patients.

Main outcome measures

The primary outcome is 28-day ventilator-free days (VFDs). The primary analysis will compare the mean 28-day VFDs preimplementation and postimplementation using a mixed-effects linear regression model. Prespecified subgroups include sex, age, HRF, ARDS, COVID-19, cardiac surgery, body mass index, height, illness acuity, and ICU volume.

Results

This protocol and SAP are reported using the Standard Protocol Items: Recommendations for Interventional Trials guidance and the Guidelines for the Content of Statistical Analysis Plans in Clinical Trials. The study received ethics approval and was registered (ClinicalTrials.gov-NCT04744298) prior to patient enrolment.

Conclusions

TheraPPP will evaluate the effectiveness and implementation of an HRF and ARDS care pathway.

Validation of automated data abstraction for SCCM discovery VIRUS COVID-19 registry: practical EHR export pathways (VIRUS-PEEP)

Background

The gold standard for gathering data from electronic health records (EHR) has been manual data extraction; however, this requires vast resources and personnel. Automation of this process reduces resource burdens and expands research opportunities.

Objective

This study aimed to determine the feasibility and reliability of automated data extraction in a large registry of adult COVID-19 patients.

Materials and methods

This observational study included data from sites participating in the SCCM Discovery VIRUS COVID-19 registry. Important demographic, comorbidity, and outcome variables were chosen for manual and automated extraction for the feasibility dataset. We quantified the degree of agreement with Cohen's kappa statistics for categorical variables. The sensitivity and specificity were also assessed. Correlations for continuous variables were assessed with Pearson's correlation coefficient and Bland-Altman plots. The strength of agreement was defined as almost perfect (0.81-1.00), substantial (0.61-0.80), and moderate (0.41-0.60) based on kappa statistics. Pearson correlations were classified as trivial (0.00-0.30), low (0.30-0.50), moderate (0.50-0.70), high (0.70-0.90), and extremely high (0.90-1.00).

Measurements and main results

The cohort included 652 patients from 11 sites. The agreement between manual and automated extraction for categorical variables was almost perfect in 13 (72.2%) variables (Race, Ethnicity, Sex, Coronary Artery Disease, Hypertension, Congestive Heart Failure, Asthma, Diabetes Mellitus, ICU admission rate, IMV rate, HFNC rate, ICU and Hospital Discharge Status), and substantial in five (27.8%) (COPD, CKD, Dyslipidemia/Hyperlipidemia, NIMV, and ECMO rate). The correlations were extremely high in three (42.9%) variables (age, weight, and hospital LOS) and high in four (57.1%) of the continuous variables (Height, Days to ICU admission, ICU LOS, and IMV days). The average sensitivity and specificity for the categorical data were 90.7 and 96.9%.

Conclusion and relevance

Our study confirms the feasibility and validity of an automated process to gather data from the EHR.

Drivers of Differential Time to Diagnosis in Pediatric ALL Tied to Race and Ethnicity

Acute lymphoblastic leukemia (ALL) is the most common childhood malignancy, with diagnosis preceded by symptoms that may include fever, weight loss, fatigue, bleeding, and bruising. Timely diagnosis and treatment of ALL may lead to improved outcomes and reduced morbidity from associated complications, including tumor lysis syndrome, hyperviscosity, and stroke. We performed a retrospective cohort analysis of 274 pediatric pre-B cell ALL and acute lymphoblastic lymphoma patients within Montefiore Health System to determine whether there were factors associated with time from symptom onset to diagnosis. The median time to diagnosis for all patients was 11.5 days (interquartile range: 7.8, 14.3). Those with Medicaid insurance (n=189) were diagnosed sooner than those with private/self-pay insurance (n=85) (median of 10 vs. 16 days; P =0.05). English and other language speakers experienced fewer median days from symptom onset to diagnosis date compared with Spanish speakers (11 vs. 7 vs. 14; P =0.05). Insurance status may impact the time to diagnosis to a greater degree in non-Hispanic patients, while the English language and female sex may represent a greater advantage to Hispanic patients. Insurance status and language preference may impact the time to diagnosis of pediatric ALL. There is a further need to confirm our findings and to study possible causes driving these disparities.

Electronic health record data quality assessment and tools: a systematic review

OBJECTIVE

We extended a 2013 literature review on electronic health record (EHR) data quality assessment approaches and tools to determine recent improvements or changes in EHR data quality assessment methodologies.

MATERIALS AND METHODS

We completed a systematic review of PubMed articles from 2013 to April 2023 that discussed the quality assessment of EHR data. We screened and reviewed papers for the dimensions and methods defined in the original 2013 manuscript. We categorized papers as data quality outcomes of interest, tools, or opinion pieces. We abstracted and defined additional themes and methods though an iterative review process.

RESULTS

We included 103 papers in the review, of which 73 were data quality outcomes of interest papers, 22 were tools, and 8 were opinion pieces. The most common dimension of data quality assessed was completeness, followed by correctness, concordance, plausibility, and currency. We abstracted conformance and bias as 2 additional dimensions of data quality and structural agreement as an additional methodology.

DISCUSSION

There has been an increase in EHR data quality assessment publications since the original 2013 review. Consistent dimensions of EHR data quality continue to be assessed across applications. Despite consistent patterns of assessment, there still does not exist a standard approach for assessing EHR data quality.

CONCLUSION

Guidelines are needed for EHR data quality assessment to improve the efficiency, transparency, comparability, and interoperability of data quality assessment. These guidelines must be both scalable and flexible. Automation could be helpful in generalizing this process.

Prediction and analysis of time series data based on granular computing

The advent of the Big Data era and the rapid development of the Internet of Things have led to a dramatic increase in the amount of data from various time series. How to classify, correlation rule mining and prediction of these large-sample time series data has a crucial role. However, due to the characteristics of high dimensionality, large data volume and transmission lag of sensor data, large sample time series data are affected by multiple factors and have complex characteristics such as multi-scale, non-linearity and burstiness. Traditional time series prediction methods are no longer applicable to the study of large sample time series data. Granular computing has unique advantages in dealing with continuous and complex data, and can compensate for the limitations of traditional support vector machines in dealing with large sample data. Therefore, this paper proposes to combine granular computing theory with support vector machines to achieve large-sample time series data prediction. Firstly, the definition of time series is analyzed, and the basic principles of traditional time series forecasting methods and granular computing are investigated. Secondly, in terms of predicting the trend of data changes, it is proposed to apply the fuzzy granulation algorithm to first convert the sample data into coarser granules. Then, it is combined with a support vector machine to predict the range of change of continuous time series data over a period of time. The results of the simulation experiments show that the proposed model is able to make accurate predictions of the range of data changes in future time periods. Compared with other prediction models, the proposed model reduces the complexity of the samples and improves the prediction accuracy.

Impacts of antipsychotic medication prescribing practices in critically ill adult patients on health resource utilization and new psychoactive medication prescriptions

BACKGROUND

Antipsychotic medications are commonly prescribed to critically ill adult patients and initiation of new antipsychotic prescriptions in the intensive care unit (ICU) increases the proportion of patients discharged home on antipsychotics. Critically ill adult patients are also frequently exposed to multiple psychoactive medications during ICU admission and hospitalization including benzodiazepines and opioid medications which may increase the risk of psychoactive polypharmacy following hospital discharge. The associated impact on health resource utilization and risk of new benzodiazepine and opioid prescriptions is unknown.

RESEARCH QUESTION

What is the burden of health resource utilization and odds of new prescriptions of benzodiazepines and opioids up to 1-year post-hospital discharge in critically ill patients with new antipsychotic prescriptions at hospital discharge?

STUDY DESIGN & METHODS

We completed a multi-center, propensity-score matched retrospective cohort study of critically ill adult patients. The primary exposure was administration of ≥1 dose of an antipsychotic while the patient was admitted in the ICU and ward with continuation at hospital discharge and a filled outpatient prescription within 1-year following hospital discharge. The control group was defined as no doses of antipsychotics administered in the ICU and hospital ward and no filled outpatient prescriptions for antipsychotics within 1-year following hospital discharge. The primary outcome was health resource utilization (72-hour ICU readmission, 30-day hospital readmission, 30-day emergency room visitation, 30-day mortality). Secondary outcomes were administration of benzodiazepines and/or opioids in-hospital and following hospital discharge in patients receiving antipsychotics.

RESULTS

1,388 propensity-score matched patients were included who did and did not receive antipsychotics in ICU and survived to hospital discharge. New antipsychotic prescriptions were not associated with increased health resource utilization or 30-day mortality following hospital discharge. There was increased odds of new prescriptions of benzodiazepines (adjusted odds ratio [aOR] 1.61 [95%CI 1.19-2.19]) and opioids (aOR 1.82 [95%CI 1.38-2.40]) up to 1-year following hospital discharge in patients continuing antipsychotics at hospital discharge.

INTERPRETATION

New antipsychotic prescriptions at hospital discharge are significantly associated with additional prescriptions of benzodiazepines and opioids in-hospital and up to 1-year following hospital discharge.

Bloodstream Infections in Infants and Children With Congenital Heart Disease Undergoing Cardiac Surgery

BACKGROUND

Children with congenital heart disease undergoing cardiac surgery are at risk for laboratory-confirmed bloodstream infections (LCBIs). These infections can lead to morbidity, mortality, and increased health care costs. The role of mucosal barrier injury in causing LCBIs is unknown.

OBJECTIVES

To describe characteristics of LCBIs in patients admitted to cardiac intensive care and step-down units and to assess frequencies of National Healthcare Safety Network infection types and associations with organism classification, patient clinical factors, and infection outcomes.

METHODS

A retrospective cohort analysis using manual electronic medical record data abstraction included children with congenital heart disease who developed an LCBI while receiving inpatient cardiac care between August 2011 and November 2018 at one institution. Demographic, clinical, laboratory, and outcome variables were collected and analyzed with descriptive and inferential statistics.

RESULTS

Eighty-seven patients with congenital heart disease developed 103 LCBIs during the study time frame. The most common causative microorganisms were gram-positive bacteria, including Enterococcus faecalis and Staphylococcus epidermidis. Sixty-three percent of causative organisms were characterized as originating from mucosal barrier injury, although no infections met National Healthcare Safety Network criteria for mucosal barrier injury LCBIs.

CONCLUSIONS

Translocation of bacteria through injured gut mucosa may cause bloodstream infections in children with congenital heart disease. Further investigation is warranted to understand microbiome changes that adversely select pathogenic gut organisms. Preventive care to maintain intact gut function and a healthy microbiome should be explored for this patient population.

Deep Learning-Based Recurrent Delirium Prediction in Critically Ill Patients

OBJECTIVES

To predict impending delirium in ICU patients using recurrent deep learning.

DESIGN

Retrospective cohort study.

SETTING

Fifteen medical-surgical ICUs across Alberta, Canada, between January 1, 2014, and January 24, 2020.

PATIENTS

Forty-three thousand five hundred ten ICU admissions from 38,426 patients.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

We used ICU and administrative health data to train deep learning models to predict delirium episodes in the next two 12-hour periods (0-12 and 12-24 hr), starting at 24 hours after ICU admission, and to generate new predictions every 12 hours. We used a comprehensive set of 3,643 features, capturing patient history, early ICU admission information (first 24 hr), and the temporal dynamics of various clinical variables throughout the ICU admission. Our deep learning architecture consisted of a feature embedding, a recurrent, and a prediction module. Our best model based on gated recurrent units yielded a sensitivity of 0.810, a specificity of 0.848, a precision (positive predictive value) of 0.704, and an area under the receiver operating characteristic curve (AUROC) of 0.909 in the hold-out test set for the 0-12-hour prediction horizon. For the 12-24-hour prediction horizon, the same model achieved a sensitivity of 0.791, a specificity of 0.807, a precision of 0.637, and an AUROC of 0.895 in the test set.

CONCLUSIONS

Our delirium prediction model achieved strong performance by applying deep learning to a dataset that is at least one order of magnitude larger than those used in previous studies. Another novel aspect of our study is the temporal nature of our features and predictions. Our model enables accurate prediction of impending delirium in the ICU, which can potentially lead to early intervention, more efficient allocation of ICU resources, and improved patient outcomes.

Family coaching during Spontaneous Awakening Trials and Spontaneous Breathing Trials (FamCAB): pilot study protocol

INTRODUCTION

Many patients in the intensive care unit (ICU) require weaning from deep sedation (Spontaneous Awakening Trials, SATs) and mechanical ventilation (Spontaneous Breathing Trials, SBTs) in their journey to recovery. These procedures can be distressing for patients and their families. The presence of family members as 'coaches' during SATs/SBTs could provide patients with reassurance, reduce stress for patients and families and potentially improve procedural success rates.

METHODS AND ANALYSIS

This study will be executed in two phases:Development of a coaching module: a working group including patient partners (i.e., former ICU patients or family members of former ICU patients), researchers, and ICU clinicians will develop an educational module on family coaching during SATs/SBTs (FamCAB). This module will provide families of critically ill patients basic information about SATs/SBTs as well as coaching guidance.Pilot testing: family members of ICU patients will complete the FamCAB module and provide information on: (1) demographics, (2) anxiety and (3) satisfaction with care in the ICU. Family members will then coach the patient through the next clinically indicated SATs and/or SBTs. Information around duration of time and success rates of SATs and/or SBTs (ability to conduct a complete assessment) alongside feedback will be collected. ICU clinical staff (including physicians and nurses) will be asked for feedback on practicality and perceived benefits or drawbacks of family coaching during these procedures. Feasibility and acceptability of family coaching in SATs/SBTs will be determined.

DISCUSSION

The results of this work will inform whether a larger study to explore family coaching during SATs/SBTs is warranted.

ETHICS AND DISSEMINATION

This study has received ethical approval from the University of Calgary Conjoint Health Research Ethics Board. Results from this pilot study will be made available via peer-reviewed journals and presented at critical care conferences on completion.

Occupational therapist-guided cognitive interventions in critically ill patients: a feasibility randomized controlled trial

PURPOSE

Intensive care unit (ICU) delirium is a common complication of critical illness requiring a multimodal approach to management. We assessed the feasibility of a novel occupational therapist (OT)-guided cognitive intervention protocol, titrated according to sedation level, in critically ill patients.

METHODS

Patients aged ≥ 18 yr admitted to a medical/surgical ICU were randomized to the standard delirium prevention protocol or to the OT-guided cognitive intervention protocol in addition to standard of care. The target enrolment number was N = 112. Due to the COVID-19 pandemic, the study enrolment period was truncated. The primary outcome was feasibility of the intervention as measured by the proportion of eligible cognitive interventions delivered by the OT. Secondary outcomes included feasibility of goal session length (20 min), participant clinical outcomes (delirium prevalence and duration, cognitive status, functional status, quality of life, and ICU length of stay), and a description of methodological challenges and solutions for future research.

RESULTS

Seventy patients were enrolled and 69 patients were included in the final analysis. The majority of OT-guided sessions (110/137; 80%) were completed. The mean (standard deviation [SD]) number of sessions per patient was 4.1 (3.8). The goal session length was achieved (mean [SD], 19.8 [3.1] min), with few sessions (8/110; 7%) terminated early per patient request.

CONCLUSION

This novel OT-guided cognitive intervention protocol is feasible in medical/surgical ICU patients. A larger randomized controlled trial is required to determine the impact of such a protocol on delirium prevalence or duration.

STUDY REGISTRATION

www.

CLINICALTRIALS

gov (NCT03604809); registered 18 June 2018.

A study protocol for improving the delivery of acute kidney replacement therapy (KRT) to critically ill patients in Alberta – DIALYZING WISELY

Background

Acute kidney replacement therapy (KRT) is delivered to acutely ill patients to support organ function and life in the Intensive Care Unit (ICU). Implementing standardized acute KRT pathways can ensure its safe and effective management. At present, there is no standardized approach to the management of acute KRT in Alberta ICUs.

Methods

Dialyzing Wisely is a registry embedded, stepped-wedge, interrupted time-series evaluation of the implementation of a standardized, stakeholder-informed, and evidence-based acute KRT pathway into Alberta ICUs. The acute KRT pathway will consist of two distinct phases. First, we will implement routine monitoring of evidence-informed key performance indicators (KPIs) of acute KRT. Second, we will provide prescriber and program reports for acute KRT initiation patterns. After the implementation of both phases of the pathway, we will evaluate acute KRT performance quarterly and implement a customized suite of interventions aimed at improving performance. We will compare this with baseline and evaluate iterative post implementation effects of the care pathway.

Discussion

Dialyzing Wisely will implement, monitor, and report a suite of KPIs of acute KRT, coupled with a care pathway that will transform the quality of acute KRT across ICUs in Alberta. This program will provide a framework for scaling evidence-informed approaches to monitoring and management of acute KRT in other jurisdictions. We anticipate improvements in acute KRT performance, decreased healthcare system costs and improved patient quality of life by decreasing patient dependence on maintenance dialysis.

Trial registration

Clinicaltrials.gov, NCT05186636. Registered 11, January, 2022.

Impact of Family Presence on Delirium in Critically Ill Patients: A Retrospective Cohort Study

OBJECTIVE

To assess the effect of family presence on the prevalence and duration of delirium in adults admitted to an ICU.

DESIGN

Retrospective cohort study.

SETTING

Medical-surgical ICUs in Alberta, AB, Canada.

PATIENTS

A population of 25,537 unique patients admitted at least once to an Alberta ICU.

METHODS

We obtained electronic health records of consecutive adults (≥ 18 yr) admitted to one of 14 medical-surgical ICU in Alberta, Canada, from January 1, 2014, to December 30, 2018. Family presence was quantified using a validated algorithm and categorized as: 1) physical presence in ICU, 2) telephone call only, and 3) no presence (reference group). Delirium was measured using the Intensive Care Delirium Screening Checklist (ICDSC) and defined as an ICDSC greater than or equal to 4. Multivariable mixed-effects logistic and linear regression were used to evaluate the association between family presence and prevalence (binary) and duration (d) of delirium, respectively.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

The association between family presence and delirium prevalence differed according to admission type and admission Glasgow Coma Scale (GCS). Among medical and emergency surgical patients irrespective of admission GCS, physical presence of family was not significantly associated with the prevalence of delirium. In elective surgical patients, physical presence of family was associated with decreased prevalence of delirium in patients with intact Glasgow Coma Scale (GCS = 15; adjusted odds ratio, 0.60; 95% CI, 0.39-0.97; p = 0.02). Physical presence of family (adjusted mean difference [AMD] -1.87 d; 95% CI, -2.01 to -1.81; p < 0.001) and telephone calls (AMD -1.41 d; 95% CI, -1.52 to -1.31; p < 0.001) were associated with decreased duration of delirium in all patients.

CONCLUSIONS

The effects of family presence on delirium are complex and dependent on type of visitation, reason for ICU admission, and brain function on ICU admission.

Identifying nursing sensitive indicators from electronic health records in acute cardiac care-Towards intelligent automated assessment of care quality

AIM

The aim of this study is to explore the potential of using electronic health records for assessment of nursing care quality through nursing-sensitive indicators in acute cardiac care.

BACKGROUND

Nursing care quality is a multifaceted phenomenon, making a holistic assessment of it difficult. Quality assessment systems in acute cardiac care units could benefit from big data-based solutions that automatically extract and help interpret data from electronic health records.

METHODS

This is a deductive descriptive study that followed the theory of value-added analysis. A random sample from electronic health records of 230 patients was analysed for selected indicators. The data included documentation in structured and free-text format.

RESULTS

One thousand six hundred seventy-six expressions were extracted and divided into (1) established and (2) unestablished expressions, providing positive, neutral and negative descriptions related to care quality.

CONCLUSIONS

Electronic health records provide a potential source of information for information systems to support assessment of care quality. More research is warranted to develop, test and evaluate the effectiveness of such tools in practice.

IMPLICATIONS FOR NURSING MANAGEMENT

Knowledge-based health care management would benefit from the development and implementation of advanced information systems, which use continuously generated already available real-time big data for improved data access and interpretation to better support nursing management in quality assessment.

A Multiple Baseline Trial of an Electronic ICU Discharge Summary Tool for Improving Quality of Care

OBJECTIVE

Effective communication between clinicians is essential for seamless discharge of patients between care settings. Yet, discharge summaries are commonly not available and incomplete. We implemented and evaluated a structured electronic health record-embedded electronic discharge (eDischarge) summary tool for patients discharged from the ICU to a hospital ward.

DESIGN

Multiple baseline trial with randomized and staggered implementation.

SETTING

Adult medical-surgical ICUs at four acute care hospitals serving a single Canadian city.

PATIENTS

Health records of patients 18 years old or older, in the ICU 24 hours or longer, and discharged from the ICU to an in-hospital patient ward between February 12, 2018, and June 30, 2019.

INTERVENTION

A structured electronic note (ICU eDischarge tool) with predefined fields (e.g., diagnosis) embedded in the hospital-wide electronic health information system.

MEASUREMENTS AND MAIN RESULTS

We compared the percent of timely (available at discharge) and complete (included goals of care designation, diagnosis, list of active issues, active medications) discharge summaries pre and post implementation using mixed effects logistic regression models. After implementing the ICU eDischarge tool, there was an immediate and sustained increase in the proportion of patients discharged from ICU with timely and complete discharge summaries from 10.8% (preimplementation period) to 71.1% (postimplementation period) (adjusted odds ratio, 32.43; 95% CI, 18.22-57.73). No significant changes were observed in rapid response activation, cardiopulmonary arrest, death in hospital, ICU readmission, and hospital length of stay following ICU discharge. Preventable (60.1 vs 5.7 per 1,000 d; p = 0.023), but not nonpreventable (27.3 vs 40.2 per 1,000d; p = 0.54), adverse events decreased post implementation. Clinicians perceived the eDischarge tool to produce a higher quality discharge process.

CONCLUSIONS

Implementation of an electronic tool was associated with more timely and complete discharge summaries for patients discharged from the ICU to a hospital ward.

Validation of an Intensive Care Unit Data Mart for Research and Quality Improvement

Data derived from the electronic health record (EHR) is frequently extracted using undefined approaches that may affect the accuracy of collected variables. Further, efforts to assess data accuracy often suffer from limited collaboration between clinicians and data analysts who perform the extraction. In this manuscript, we describe the methodology behind creation of a structured, rigorously derived intensive care unit (ICU) data mart based on data automatically and routinely derived from the EHR. This ICU data mart includes high-quality data elements commonly used for quality improvement and research purposes. These data elements were identified by physicians working closely with data analysts to iteratively develop and refine algorithmic definitions for complex outcomes and risk factors. We contend that this methodology can be reproduced and applied across other institution or to other clinical domains to create high quality data marts, inclusive of complex outcomes data.

ReviewR: a light-weight and extensible tool for manual review of clinical records

Objectives

Manual record review is a crucial step for electronic health record (EHR)-based research, but it has poor workflows and is error prone. We sought to build a tool that provides a unified environment for data review and chart abstraction data entry.

Materials and Methods

ReviewR is an open-source R Shiny application that can be deployed on a single machine or made available to multiple users. It supports multiple data models and database systems, and integrates with the REDCap API for storing abstraction results.

Results

We describe 2 real-world uses and extensions of ReviewR. Since its release in April 2021 as a package on CRAN it has been downloaded 2204 times.

Discussion and Conclusion

ReviewR provides an easily accessible review interface for clinical data warehouses. Its modular, extensible, and open source nature afford future expansion by other researchers.

Study protocol: development and pilot testing of the Critical Care Pain Observation Tool for families (CPOT-Fam)

Background

Patients in the intensive care unit (ICU) often have limited ability to communicate making it more difficult to identify and effectively treat their pain. Family caregivers or close friends of critically ill patients may be able to identify signs of pain before the clinical care team and could potentially assist in routine pain assessments. This study will adapt the Critical Care Pain Observation Tool (CPOT) for use by family members to create the CPOT-Fam and compare family CPOT-Fam assessments with nurse-provided CPOT assessments for a given patient.

Methods

This study will be executed in two phases:

1) Development of the CPOT-Fam — A working group of patient partners, ICU clinicians, and researchers will adapt the CPOT for use by family caregivers (creating the CPOT-Fam) and produce an accompanying educational module to deliver information on pain and how to use the tool. The CPOT-Fam will undergo preclinical testing with participants (i.e., members of the public and family caregivers of critically ill adults), who will complete the educational module and provide CPOT-Fam scores on sample cases. Feedback on the CPOT-Fam will be collected.

2) Pilot testing the CPOT — Fam family caregivers of critically ill adults will complete the educational module and provide information on the following: (1) demographics, (2) anxiety, (3) caregiving self-efficacy, and (4) satisfaction with care in the ICU. Family caregivers will then provide a proxy assessment of their critically ill loved one’s pain through the CPOT-Fam and also provide a subjective (i.e., questionnaire-based including open-ended responses) account of their loved one’s pain status. A comparison (i.e., agreement) will be made between family caregiver provided CPOT-Fam scores and ICU nurse-provided CPOT scores (collected from the provincial health information system), calculated independently and blinded to one another. Feasibility and acceptability of the CPOT-Fam will be determined.

Discussion

The results of this work will produce a family caregiver CPOT (i.e., CPOT-Fam), determine feasibility and acceptability of the CPOT-Fam, and compare pain assessments conducted by family caregivers and ICU nurses. The results will inform whether a larger study to determine a role for family caregivers in ICU pain assessment using the CPOT-Fam is warranted.

Supplementary Information

The online version contains supplementary material available at 10.1186/s40814-022-01102-3.

Development and pilot implementation of a patient-oriented discharge summary for critically Ill patients

BACKGROUND

Patients leaving the intensive care unit (ICU) often experience gaps in care due to deficiencies in discharge communication, leaving them vulnerable to increased stress, adverse events, readmission to ICU, and death. To facilitate discharge communication, written summaries have been implemented to provide patients and their families with information on medications, activity and diet restrictions, follow-up appointments, symptoms to expect, and who to call if there are questions. While written discharge summaries for patients and their families are utilized frequently in surgical, rehabilitation, and pediatric settings, few have been utilized in ICU settings.

AIM

To develop an ICU specific patient-oriented discharge summary tool (PODS-ICU), and pilot test the tool to determine acceptability and feasibility.

METHODS

Patient-partners (i.e., individuals with lived experience as an ICU patient or family member of an ICU patient), ICU clinicians (i.e., physicians, nurses), and researchers met to discuss ICU patients' specific informational needs and design the PODS-ICU through several cycles of discussion and iterative revisions. Research team nurses piloted the PODS-ICU with patient and family participants in two ICUs in Calgary, Canada. Follow-up surveys on the PODS-ICU and its impact on discharge were administered to patients, family participants, and ICU nurses.

RESULTS

Most participants felt that their discharge from the ICU was good or better (n = 13; 87.0%), and some (n = 9; 60.0%) participants reported a good understanding of why the patient was in ICU. Most participants (n = 12; 80.0%) reported that they understood ICU events and impacts on the patient's health. While many patients and family participants indicated the PODS-ICU was informative and useful, ICU nurses reported that the PODS-ICU was "not reasonable" in their daily clinical workflow due to "time constraint".

CONCLUSION

The PODS-ICU tool provides patients and their families with essential information as they discharge from the ICU. This tool has the potential to engage and empower patients and their families in ensuring continuity of care beyond ICU discharge. However, the PODS-ICU requires pairing with earlier discharge practices and integration with electronic clinical information systems to fit better into the clinical workflow for ICU nurses. Further refinement and testing of the PODS-ICU tool in diverse critical care settings is needed to better assess its feasibility and its effects on patient health outcomes.

First-line Vasopressor Use in Septic Shock and Route of Administration: An Epidemiologic Study

RATIONALE

Norepinephrine is a first-line agent for treatment of hypotension in septic shock. However, its frequency of use, and potential barriers to its use are unclear.

OBJECTIVES

To evaluate the frequency of use of norepinephrine in septic shock, to identify potential barriers to its use, and to evaluate trends in use of vasopressors over time.

METHODS

Retrospective population-based cohort study of patients with septic shock in Alberta, Canada between July 1, 2012 and December 31, 2018. The primary outcome was receipt of a first-line vasopressor other than norepinephrine ("non-norepinephrine vasopressor"). Predictors of receiving a non-norepinephrine vasopressor were assessed using a multivariable-adjusted, multilevel logistic regression model with intensive care unit (ICU) as a random effect.

RESULTS

Among 6343 patients with septic shock, the proportion of patients receiving non-norepinephrine vasopressors as first-line treatment decreased steadily from 11.5% in 2012 to 3.0% in 2018. Two factors most strongly associated with their receipt were having peripheral intravenous access only (adjusted odds ratio (aOR) 6.15, 95% confidence interval (CI) 4.58-8.26, p<0.001) and year of admission (aOR 0.74 per year after 2012, 95% CI 0.69-0.80, p<0.001). Other factors that had associations after adjustment included admission to a non-teaching hospital (aOR 2.19, 95% CI 1.23-3.89, p=0.007), admission to a coronary care unit (aOR 2.56, 95% CI 1.001-6.54, p=0.05), SOFA score (aOR 0.92 per unit increase, 95% CI 0.88-0.96, p<0.001) and heart rate (aOR 0.92 per 10 beat per minute increase, 95% CI 0.87-0.97, p=0.002).

CONCLUSIONS

In a large cohort of patients in Alberta, Canada, we found a steady decrease in use of first-line vasopressors other than norepinephrine in septic shock. The strongest factor associated with their use was the presence of only peripheral venous access, suggesting this may still be considered a barrier to administration of norepinephrine.

Clinician based decision tool to guide recommended interval between colonoscopies: development and evaluation pilot study

Background

Optimal intervals between repeat colonoscopies could improve patient outcomes and reduce costs. We evaluated: (a) concordance between clinician and guideline recommended colonoscopy screening intervals in Winnipeg, Manitoba, (b) clinician opinions about the utility of an electronic decision-making tool to aid in recommending screening intervals, and (c) the initial use of a decision-making smartphone/web-based application.

Methods

Clinician endoscopists and primary care providers participated in four focus groups (N = 22). We asked participating clinicians to evaluate up to 12 hypothetical scenarios and compared their recommended screening interval to those of North American guidelines. Fisher’s exact tests were used to assess differences in agreement with guidelines. We developed a decision-making tool and evaluated it via a pilot study with 6 endoscopists.

Result

53% of clinicians made recommendations that agreed with guidelines in ≤ 50% of the hypothetical scenarios. Themes from focus groups included barriers to using a decision-making tool: extra time to use it, less confidence in the results of the tool over their own judgement, and having access to the information required by the tool (e.g., family history). Most were willing to try a tool if it was quick and easy to use. Endoscopists participating in the tool pilot study recommended screening intervals discordant with guidelines 35% of the time. When their recommendation differed from that of the tool, they usually endorsed their own over the guideline.

Conclusions

Endoscopists are overconfident and inconsistent with applying guidelines in their polyp surveillance interval recommendations. Use of a decision tool may improve knowledge and application of guidelines. A change in practice may require that the tool be coupled with continuing education about evidence for improved outcomes if guidelines are followed.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12911-022-01872-z.

Delirium diagnosis without a gold standard: Evaluating diagnostic accuracy of combined delirium assessment tools

Background

Fluctuating course of delirium and complexities of ICU care mean delirium symptoms are hard to identify or commonly confused with other disorders. Delirium is difficult to diagnose, and clinicians and researchers may combine assessments from multiple tools. We evaluated diagnostic accuracy of different combinations of delirium assessments performed in each enrolled patient.

Methods

Data were obtained from a previously conducted cross-sectional study. Eligible adult patients who remained admitted to ICU for >24 hours with at least one family member present were consecutively enrolled as patient-family dyads. Clinical delirium assessments (Intensive Care Delirium Screening Checklist [ICSDC] and Confusion Assessment Method-ICU [CAM-ICU]) were completed twice daily by bedside nurse or trained research assistant, respectively. Family delirium assessments (Family Confusion Assessment Method and Sour Seven) were completed once daily by family members. We pooled all delirium assessment tools in a single two-class latent model and pairwise (i.e., combined, clinical or family assessments) Bayesian analyses.

Results

Seventy-three patient-family dyads were included. Among clinical delirium assessments, the ICDSC had lower sensitivity (0.72; 95% Bayesian Credible [BC] interval 0.54–0.92) and higher specificity (0.90; 95%BC, 0.82–0.97) using Bayesian analyses compared to pooled latent class analysis and CAM-ICU had higher sensitivity (0.90; 95%BC, 0.70–1.00) and higher specificity (0.94; 95%BC, 0.80–1.00). Among family delirium assessments, the Family Confusion Assessment Method had higher sensitivity (0.83; 95%BC, 0.71–0.92) and higher specificity (0.93; 95%BC, 0.84–0.98) using Bayesian analyses compared to pooled latent class analysis and the Sour Seven had higher specificity (0.85; 95%BC, 0.67–0.99) but lower sensitivity (0.64; 95%BC 0.47–0.82).

Conclusions

Results from delirium assessment tools are often combined owing to imperfect reference standards for delirium measurement. Pairwise Bayesian analyses that explicitly accounted for each tool’s (performed within same patient) prior sensitivity and specificity indicate that two combined clinical or two combined family delirium assessment tools have fair diagnostic accuracy.

Psychiatric Outcomes in ICU Patients With Family Visitation: A Population-Based Retrospective Cohort Study

BACKGROUND

Lack of family visitation in the ICU can have long-term consequences on patients in the ICU after discharge. The effect of family visitation on the incidence of patient psychiatric disorders is unknown.

RESEARCH QUESTION

What is the association between family visitation in the ICU and incidence of psychiatric outcomes in patients in the ICU 1 year after hospital discharge?

STUDY DESIGN AND METHODS

This study assessed a population-based retrospective cohort of adult patients admitted to the ICU from January 1, 2014, through May 30, 2017, surviving to hospital discharge with ICU length of stay of ≥ 3 days. To be eligible, patients needed to have minimum of 5 years of administrative data before ICU admission and a minimum of 1 year of follow-up data after hospital discharge. An internally validated algorithm that interpreted natural language in health records determined patients with or without in-person family (ie, relatives, friends) visitation during ICU stay. The primary outcome was risk of an incidence of psychiatric disorder (composite outcome), including anxiety, depressive, trauma- and stressor-related, psychotic, and substance use disorders, identified using coding algorithms for administrative databases. Propensity scores were used in inverse probability weighted logistic regression models, and average treatment effects were converted to risk ratios (RRs) with 95% CIs. Secondary outcomes were incidences of diagnoses by type of psychiatric disorder.

RESULTS

We included 14,344 patients with (96% [n = 13,771]) and without (4.0% [n = 573]) in-person family visitation who survived hospital discharge. More than one-third of patients received a diagnosis of any psychiatric disorder within 1 year after discharge (34.9%; 95% CI, 34.1%-35.6%). Patients most often received diagnoses of anxiety disorders (17.5%; 95% CI, 16.9%-18.1%) and depressive disorders (17.2%; 95% CI, 16.6%-17.9%). After inverse probability weighting of 13,731 patients, in-person family visitation was associated with a lower risk of received a diagnosis of any incident psychiatric disorder within 1 year after discharge (RR, 0.79; 95% CI, 0.68-0.92).

INTERPRETATION

ICU family visitation is associated with a decreased risk of psychiatric disorders in critically ill patients up to 1 year after hospital discharge.

Efficacy and safety of proton pump inhibitors versus histamine-2 receptor blockers in the cardiac surgical population: insights from the PEPTIC trial

OBJECTIVES

The comparative effectiveness and safety of proton pump inhibitors (PPIs) versus histamine-2 receptor blockers for stress ulcer prophylaxis in the cardiac surgical intensive care unit population is uncertain. Although the Proton Pump Inhibitors versus Histamine-2 Receptor Blockers for Ulcer Prophylaxis Therapy in the Intensive Care Unit (PEPTIC) trial reported a higher risk of mortality in the PPI arm with no difference in gastrointestinal bleeding, detailed information on surgical variables and clinically relevant surgical subgroups was not available.

METHODS

The analysis included all Canadian cardiac surgery patients enrolled in the PEPTIC trial. Data were electronically linked using unique patient identifiers to a clinical information system. Outcomes of interest included in-hospital mortality, gastrointestinal bleeding, Clostridium difficile infections, ventilator-associated conditions and length of stay.

RESULTS

We studied 823 (50.6%) randomized to PPIs and 805 (49.4%) to histamine-2-receptor blockers. In the intention-to-treat analysis, there were no differences in hospital mortality [PPI: 4.3% vs histamine-2 receptor blockers: 4.8%, adjusted odds ratio (aOR) 0.97, 95% confidence interval (CI) 0.55-1.70], gastrointestinal bleeding (3.9% vs 4.8%, aOR 1.09, 95% CI 0.66-1.81), C. difficile infections (0.9% vs 0.1%, aOR 0.18, 95% CI 0.02-1.59), ventilator-associated conditions (1.6% vs 1.7%, aOR 0.92, 95% CI 0.85-1.00) or median length of stay (9.2 vs 9.8 days, adjusted risk ratio 1.06, 85% CI 0.99-1.13). No significant treatment differences were observed among subgroups of interest or per-protocol populations.

CONCLUSIONS

In a secondary analysis of cardiac surgery patients enrolled in the PEPTIC trial in Canada, no differences in effectiveness or safety were observed between use of PPIs and histamine-2 receptor blockers for stress ulcer prophylaxis.

CLINICAL TRIAL REGISTRATION NUMBER

anzctr.org.au identifier: ACTRN12616000481471.

Developing a Multifaceted Evaluation Tool for Electronic Prescribing System: A Study from a Developing Country

: Evaluation of electronic prescribing systems (EPS) can contribute to their quality assurance, and motivate users and policy-makers to implement these systems, directly influencing the health of society. An appropriate evaluation tool plays a determining role in the identification of proper EPS. The present study aimed to develop a multifaceted evaluation tool for assessing the EPS. This study was conducted in two main steps in 2018. In the first step, we conducted a literature review to find the main features and capabilities of the prosperous EPS. In the second step, a Delphi method was used for determining the final criteria for evaluating EPS. After preparing a primary questionnaire based on the first step results, 27 expert stakeholders from related fields participated in this 3-phase Delphi study. The narrative content analysis and descriptive statistics were used for data analysis. The final evaluation tool consists of 61 questions in 10 main dimensions, including practical capabilities of the process/user and patient safety, data storage and transfer, prescription control and renewal, technical functions, user interfaces, security and privacy, reporting, portability, hardware and infrastructure, and system failure/recovery. The evaluation tool developed in this study can be used for the critical appraisal of features of EPS. It is recommended that this multifaceted evaluation tool be employed to help buyers compare different systems and assist EPS software vendors in prioritizing their activities regarding the system development. By using this tool, healthcare organizations can also choose a system that improves many aspects of health care.

Improving the quality of the performance and delivery of continuous renal replacement therapy (CRRT) to critically ill patients across a healthcare system: QUALITY CRRT: a study protocol

INTRODUCTION

Continuous renal replacement therapy (CRRT) is a continuous form of dialysis used to support critically ill patients with acute kidney injury. The ideal delivery of CRRT requires ongoing monitoring and reporting to adjust practice and deliver optimal therapy. However, this practice occurs variably.

METHODS

QUALITY CRRT is a multicentre, prospective, stepped-wedged, interrupted time series (ITS) evaluation of the effectiveness, safety and cost of implementing a multifaceted CRRT quality assurance and improvement programme across an entire healthcare system. This study will focus on the standardisation of CRRT programmes with similar structure, process and outcome metrics by the reporting of CRRT key performance indicators (KPIs). The primary outcome will be the quarterly performance of CRRT KPIs. Secondary outcomes will include patient-centred outcomes and economic outcomes. Analysis will compare pre-implementation and post-implementation groups as well as for the performance of KPIs using an ITS methodology. The health economic evaluation will include a within-study analysis and a longer-term model-based analysis.

DISCUSSION

The effective delivery of CRRT to critically ill patients ideally requires a standardised approach of best practice assessment and ongoing audit and feedback of standardised performance measures. QUALITY CRRT will test the application of this strategy stakeholder engagement and stepped-wedged implementation across an entire healthcare system.

ETHICS AND DISSEMINATION

This study has received ethics approval. We will plan to publish the results in a peer-reviewed journal.

TRIAL REGISTRATION NUMBER

NCT04221932.

PROTOCOL VERSION

1.0 (15 June 2020).

Liberation from Invasive Mechanical Ventilation with Continued Receipt of Vasopressor Infusions

RATIONALE

Weaning protocols for discontinuation of invasive mechanical ventilation often mandate resolution of shock. Whether extubation while receiving vasopressors is associated with harm is uncertain.

OBJECTIVES

To examine whether extubation while still receiving vasopressors is associated with worse outcomes.

METHODS

We performed a retrospective cohort study of adults in Calgary ICUs who received vasopressors with invasive mechanical ventilation and an extubation attempt. The primary exposure was continued vasopressor use at extubation. The primary outcome was reintubation within 96-hours. Secondary outcomes included in-hospital mortality and ICU/hospital length of stay (LOS). We assessed associations of vasopressor use at extubation with outcomes using multivariable competing-risk (reintubation/LOS) and Cox proportional-hazards (mortality) models.

MEASUREMENTS AND MAIN RESULTS

Of 6140 patients who received invasive mechanical ventilation while on vasopressors, 721 (11.7%) were extubated while receiving vasopressors and 5419 (88.3%) after discontinuation. Extubation on vasopressors was not, in aggregate, significantly associated with an increased hazard of reintubation (sub-hazard ratio, 1.81 [95% CI: 0.91 - 3.61], P=0.09). Both mortality (HR 1.22 [1.02-1.47], P=0.03) and time to hospital discharge (SHR for remaining hospitalized 0.78 [0.68-0.91], P<0.01) were increased. Extubation on high-dose vasopressors (>0.1 µg/kg/min) was associated with a greater hazard of reintubation (SHR 2.25 [1.01-4.98], P=0.046) compared to extubation after vasopressor discontinuation. Meanwhile, extubation on low-dose vasopressors (≤0.1 µg/kg/min) was associated with a lower mortality (HR 0.69 [0.51-0.91], P=0.01) and a shorter ICU LOS (SHR 1.34 [1.09-1.65], P<0.01), but no difference in reintubation or hospital LOS as compared to those weaned off vasopressors.

CONCLUSIONS

Extubation while receiving high-dose but not low-dose vasopressors was associated with an increased risk of reintubation.

A Multicenter Cohort Study of Falls Among Patients Admitted to the ICU

OBJECTIVES

To determine the incidence of falls, risk factors, and adverse outcomes, among patients admitted to the ICU.

DESIGN

Retrospective cohort study.

SETTING

Seventeen ICUs in Alberta, Canada.

PATIENTS

Seventy-three thousand four hundred ninety-five consecutive adult patient admissions between January 1, 2014, and December 31, 2019.

MEASUREMENTS AND MAIN RESULTS

A mixed-effects negative binomial regression model was used to examine risk factors associated with falls. Linear and logistic regression models were used to evaluate adverse outcomes. Six hundred forty patients experienced 710 falls over 398,223 patient days (incidence rate of 1.78 falls per 1,000 patient days [95% CI, 1.65-1.91]). The daily incidence of falls increased during the ICU stay (e.g., day 1 vs day 7; 0.51 vs 2.43 falls per 1,000 patient days) and varied significantly between ICUs (range, 0.37-4.64 falls per 1,000 patient days). Male sex (incidence rate ratio [IRR], 1.37; 95% CI, 1.15-1.63), previous invasive mechanical ventilation (IRR, 1.82; 95% CI, 1.40-2.38), previous sedative and analgesic medication infusions (IRR, 1.60; 95% CI, 1.15-2.24), delirium (IRR, 3.85; 95% CI, 3.23-4.58), and patient mobilization (IRR, 1.26; 95% CI, 1.21-1.30) were risk factors for falling. Falls were associated with longer ICU (ratio of means [RM], 3.10; 95% CI, 2.86-3.36) and hospital (RM, 2.21; 95% CI, 2.01-2.42) stays, but lower odds of death in the ICU (odds ratio [OR], 0.09; 95% CI, 0.05-0.17) and hospital (OR, 0.21; 95% CI, 0.14-0.30).

CONCLUSIONS

We observed that among ICU patients, falls occur frequently, vary substantially between ICUs, and are associated with modifiable risk factors, longer ICU and hospital stays, and lower risk of death. Our study suggests that fall prevention strategies should be considered for critically ill patients admitted to ICU.

Dexamethasone modulates immature neutrophils and interferon programming in severe COVID-19

Although critical for host defense, innate immune cells are also pathologic drivers of acute respiratory distress syndrome (ARDS). Innate immune dynamics during Coronavirus Disease 2019 (COVID-19) ARDS, compared to ARDS from other respiratory pathogens, is unclear. Moreover, mechanisms underlying the beneficial effects of dexamethasone during severe COVID-19 remain elusive. Using single-cell RNA sequencing and plasma proteomics, we discovered that, compared to bacterial ARDS, COVID-19 was associated with expansion of distinct neutrophil states characterized by interferon (IFN) and prostaglandin signaling. Dexamethasone during severe COVID-19 affected circulating neutrophils, altered IFNactive neutrophils, downregulated interferon-stimulated genes and activated IL-1R2+ neutrophils. Dexamethasone also expanded immunosuppressive immature neutrophils and remodeled cellular interactions by changing neutrophils from information receivers into information providers. Male patients had higher proportions of IFNactive neutrophils and preferential steroid-induced immature neutrophil expansion, potentially affecting outcomes. Our single-cell atlas (see 'Data availability' section) defines COVID-19-enriched neutrophil states and molecular mechanisms of dexamethasone action to develop targeted immunotherapies for severe COVID-19.

Comparing automated vs. manual data collection for COVID-specific medications from electronic health records

INTRODUCTION

Data extraction from electronic health record (EHR) systems occurs through manual abstraction, automated extraction, or a combination of both. While each method has its strengths and weaknesses, both are necessary for retrospective observational research as well as sudden clinical events, like the COVID-19 pandemic. Assessing the strengths, weaknesses, and potentials of these methods is important to continue to understand optimal approaches to extracting clinical data. We set out to assess automated and manual techniques for collecting medication use data in patients with COVID-19 to inform future observational studies that extract data from the electronic health record (EHR).

MATERIALS AND METHODS

For 4,123 COVID-positive patients hospitalized and/or seen in the emergency department at an academic medical center between 03/03/2020 and 05/15/2020, we compared medication use data of 25 medications or drug classes collected through manual abstraction and automated extraction from the EHR. Quantitatively, we assessed concordance using Cohen's kappa to measure interrater reliability, and qualitatively, we audited observed discrepancies to determine causes of inconsistencies.

RESULTS

For the 16 inpatient medications, 11 (69%) demonstrated moderate or better agreement; 7 of those demonstrated strong or almost perfect agreement. For 9 outpatient medications, 3 (33%) demonstrated moderate agreement, but none achieved strong or almost perfect agreement. We audited 12% of all discrepancies (716/5,790) and, in those audited, observed three principal categories of error: human error in manual abstraction (26%), errors in the extract-transform-load (ETL) or mapping of the automated extraction (41%), and abstraction-query mismatch (33%).

CONCLUSION

Our findings suggest many inpatient medications can be collected reliably through automated extraction, especially when abstraction instructions are designed with data architecture in mind. We discuss quality issues, concerns, and improvements for institutions to consider when crafting an approach. During crises, institutions must decide how to allocate limited resources. We show that automated extraction of medications is feasible and make recommendations on how to improve future iterations.

Not another box to check! Using the UTAUT to explore nurses' psychological adaptation to electronic health record usability

BACKGROUND

As the integration of electronic health records (EHRs) continues to expand throughout healthcare organizations worldwide, nurses are faced with the challenge to acclimate to a dynamic technology-based environment of patient care. As technology advances, EHR usability may influence nurses' clinical performance and require nurses to adapt to a wide range of situations associated with electronic documentation. While perceived benefits of EHRs include improvements in healthcare delivery and patient outcomes, there are also unintended consequences associated with EHR usability.

AIMS

The aim of this article is to explore dimensions of EHR usability that may influence nurses' psychological adaptation to the use of EHRs in daily practice.

MATERIALS AND METHODS

The unified theory of acceptance and use of technology (UTAUT) consists of four constructs theorized to have a direct influence on end-user behavior and acceptance of technology: performance expectancy, effort expectancy, social influence, and facilitating conditions. The UTAUT provides the framework to explore EHR usability as found in literature and describe the positive and negative psychological responses of nurses related to the use of EHRs in daily practice.

RESULTS

Integration of EHRs into daily nursing practice can result in positive experiences or have a negative impact on nurses ability to perform their role as patient caregivers.

DISCUSSION

While integration of EHRs into healthcare systems can facilitate improvements in patient outcomes, the delivery of patient care and nurses' daily practices can simultaneously be complicated by EHR usability issues.

CONCLUSION

Although positive and negative experiences of nurses in relationship to EHR usability can be found in literature, there is limited evidence on nurses' psychological adaptation to use of EHRs. Further research on EHR usability is needed based on nursing perspectives and feedback to determine the psychological impact EHRs exert on nurses, discover effective methods for resolving issues, and promote positive trends associated with EHR usability.

Optimizing red blood cell transfusion practices in the intensive care unit: a multi-phased health technology reassessment

Background

Health technology reassessment (HTR) is a process to manage existing health technologies to ensure ongoing optimal use. A model to guide HTR was developed; however, there is limited practical experience. This paper addresses this knowledge gap through the completion of a multi-phase HTR of red blood cell (RBC) transfusion practices in the intensive care unit (ICU).

Objective

The HTR consisted of three phases and here we report on the final phase: the development, implementation, and evaluation of behavior change interventions aimed at addressing inappropriate RBC transfusions in an ICU.

Methods

The interventions, comprised of group education and audit and feedback, were co-designed and implemented with clinical leaders. The intervention was evaluated through a controlled before-and-after pilot feasibility study. The primary outcome was the proportion of potentially inappropriate RBC transfusions (i.e., with a pre-transfusion hemoglobin of 70 g/L or more).

Results

There was marked variability in the monthly proportion of potentially inappropriate RBC transfusions. Relative to the pre-intervention phase, there was no significant difference in the proportion of potentially inappropriate RBC transfusions post-intervention. Lessons from this work include the importance of early and meaningful engagement of clinical leaders; tailoring the intervention modalities; and, efficient access to data through an electronic clinical information system.

Conclusions

It was feasible to design, implement, and evaluate a tailored, multi-modal behavior change intervention in this small-scale pilot study. However, early evaluation of the intervention revealed no change in technology use leading to reflection on the important question of how the HTR model needs to be improved.

The impact of patient delirium in the intensive care unit: patterns of anxiety symptoms in family caregivers

BACKGROUND

The purpose of this study was to examine the association of patient delirium in the intensive care unit (ICU) with patterns of anxiety symptoms in family caregivers when delirium was determined by clinical assessment and family-administered delirium detection.

METHODS

In this cross-sectional study, consecutive adult patients anticipated to remain in the ICU for longer than 24 h were eligible for participation given at least one present family caregiver (e.g., spouse, friend) provided informed consent (to be enrolled as a dyad) and were eligible for delirium detection (i.e., Richmond Agitation-Sedation Scale score ≥ - 3). Generalized Anxiety Disorder-7 (GAD-7) was used to assess self-reported symptoms of anxiety. Clinical assessment (Confusion Assessment Method for ICU, CAM-ICU) and family-administered delirium detection (Sour Seven) were completed once daily for up to five days.

RESULTS

We included 147 family caregivers; the mean age was 54.3 years (standard deviation [SD] 14.3 years) and 74% (n = 129) were female. Fifty (34% [95% confidence interval [CI] 26.4-42.2]) caregivers experienced clinically significant symptoms of anxiety (median GAD-7 score 16.0 [interquartile range 6]). The most prevalent symptoms of anxiety were "Feeling nervous, anxious or on edge" (96.0% [95%CI 85.2-99.0]); "Not being able to stop or control worrying" (88.0% [95%CI 75.6-94.5]; "Worrying too much about different things" and "Feeling afraid as if something awful might happen" (84.0% [95%CI 71.0-91.8], for both). Family caregivers of critically ill adults with delirium were significantly more likely to report "Worrying too much about different things" more than half of the time (CAM-ICU, Odds Ratio [OR] 2.27 [95%CI 1.04-4.91]; Sour Seven, OR 2.28 [95%CI 1.00-5.23]).

CONCLUSIONS

Family caregivers of critically ill adults with delirium frequently experience clinically significant anxiety and are significantly more likely to report frequently worrying too much about different things. Future work is needed to develop mental health interventions for the diversity of anxiety symptoms experienced by family members of critically ill patients.

TRIAL REGISTRATION

This study is registered on ClinicalTrials.gov ( https://clinicaltrials.gov/ct2/show/NCT03379129 ).

Healthcare utilization and mortality outcomes in patients with pre-existing psychiatric disorders after intensive care unit discharge: A population-based retrospective cohort study

PURPOSE

Pre-existing psychiatric disorders may lead to negative outcomes following intensive care unit (ICU) discharge. We evaluated the association of pre-existing psychiatric disorders with subsequent healthcare utilization and mortality in patients discharged from ICU.

MATERIALS AND METHODS

We retrospectively studied adult patients admitted to 14 medical-surgical ICUs (January 2014-June 2016) with ICU length stay ≥24 h who survived to hospital discharge. Pre-existing psychiatric disorders were identified using algorithms for diagnostic codes captured ≤5 years before ICU admission. Outcomes were healthcare utilization (emergency department visit, hospital or ICU readmission) and mortality. We used logistic regression models with propensity scores to estimate associations, converted to risk ratios (RR).

RESULTS

We included 10,598 patients. 37.6% (n = 3982) had a psychiatric history. Patients with pre-existing psychiatric disorders were at higher risk of subsequent emergency department visits (RR 1.49, 95%CI 1.29-1.71), hospital readmission (RR 1.49, 95%CI 1.34-1.66), ICU readmission (RR 2.64, 95%CI 1.55-4.49) one-year post-ICU discharge, compared to patients without pre-existing psychiatric disorders. Patients with pre-existing psychiatric disorders had a higher risk of mortality (RR 1.31, 95%CI 1.00-1.71) six-months post-ICU discharge.

CONCLUSION

Critically ill patients with pre-existing psychiatric disorders have an increased risk of healthcare utilization and mortality outcomes following an ICU stay.

Implementation of automatic data extraction from an enterprise database warehouse (EDW) for validating pediatric VTE decision rule: a prospective observational study in a critical care population

Multiple clinical risk prediction tools for hospital acquired venous thromboembolism (HA-VTE) have been developed. The objectives of this study were to develop and assess the feasibility of data extraction from Electronic Medical Records (EMR) from an enterprise database warehouse (EDW) and to test the validity of a previously developed Pediatric Clot Decision Rule (PCDR). This single-center prospective observational cohort study was conducted between March 2016 and March 2017 and included eligible patients admitted to the intensive care units. Risk score was calculated using the PCDR tool. Sensitivity, specificity, positive and negative predicted value (PPV and NPV) were calculated based on a cut-point of 3. A total of 2822 children were eligible for analysis and 5.1% (95% CI 4.2-6.2) children had a PCDR score of 3. Children with PCDR score of ≥ 3 had a 3 times higher odd of developing VTE compared to those with scores < 3 (OR 3.1; 95% CI 1.93-4.80; p < 0.001). The model performance showed that at the cutoff point of ≥ 3, both the specificity and sensitivity of the PCDR in predicting VTE was 69% and NPV of 98%. We successfully demonstrated using our EDW to populate a research database using an automatic data import. A PCDR score of ≥ 3 was associated with VTE. Collaboration through large registries will be useful in informing practices and guidelines for rare disorders such as pediatric VTE.

Long-Term Outcomes in ICU Patients with Delirium: A Population-based Cohort Study

Rationale: Delirium is common in the ICU and portends worse ICU and hospital outcomes. The effect of delirium in the ICU on post-hospital discharge mortality and health resource use is less well known. Objectives: To estimate mortality and health resource use 2.5 years after hospital discharge in critically ill patients admitted to the ICU. Methods: This was a population-based, propensity score-matched, retrospective cohort study of adult patients admitted to 1 of 14 medical-surgical ICUs from January 1, 2014, to June 30, 2016. Delirium was measured by using the 8-point Intensive Care Delirium Screening Checklist. The primary outcome was mortality. The secondary outcome was a composite measure of subsequent emergency department visits, hospital readmission, or mortality. Measurements and Main Results: There were 5,936 propensity score-matched patients with and without a history of incident delirium who survived to hospital discharge. Delirium was associated with increased mortality 0-30 days after hospital discharge (hazard ratio, 1.44 [95% confidence interval, 1.08-1.92]). There was no significant difference in mortality more than 30 days after hospital discharge (delirium: 3.9%, no delirium: 2.6%). There was a persistent increased risk of emergency department visits, hospital readmissions, or mortality after hospital discharge (hazard ratio, 1.12 [95% confidence interval, 1.07-1.17]) throughout the study period. Conclusions: ICU delirium is associated with increased mortality 0-30 days after hospital discharge.

Natural language processing to measure the frequency and mode of communication between healthcare professionals and family members of critically ill patients

OBJECTIVE

To apply natural language processing (NLP) techniques to identify individual events and modes of communication between healthcare professionals and families of critically ill patients from electronic medical records (EMR).

MATERIALS AND METHODS

Retrospective cohort study of 280 randomly selected adult patients admitted to 1 of 15 intensive care units (ICU) in Alberta, Canada from June 19, 2012 to June 11, 2018. Individual events and modes of communication were independently abstracted using NLP and manual chart review (reference standard). Preprocessing techniques and 2 NLP approaches (rule-based and machine learning) were evaluated using sensitivity, specificity, and area under the receiver operating characteristic curves (AUROC).

RESULTS

Over 2700 combinations of NLP methods and hyperparameters were evaluated for each mode of communication using a holdout subset. The rule-based approach had the highest AUROC in 65 datasets compared to the machine learning approach in 21 datasets. Both approaches had similar performance in 17 datasets. The rule-based AUROC for the grouped categories of patient documented to have family or friends (0.972, 95% CI 0.934-1.000), visit by family/friend (0.882 95% CI 0.820-0.943) and phone call with family/friend (0.975, 95% CI: 0.952-0.998) were high.

DISCUSSION

We report an automated method to quantify communication between healthcare professionals and family members of adult patients from free-text EMRs. A rule-based NLP approach had better overall operating characteristics than a machine learning approach.

CONCLUSION

NLP can automatically and accurately measure frequency and mode of documented family visitation and communication from unstructured free-text EMRs, to support patient- and family-centered care initiatives.

Sedation strategy and ICU delirium: a multicentre, population-based propensity score-matched cohort study

OBJECTIVES

We examined the relationship between dominant sedation strategy, risk of delirium and patient-centred outcomes in adults admitted to intensive care units (ICUs).

DESIGN

Retrospective propensity-matched cohort study.

SETTING

Mechanically ventilated adults (≥ 18 years) admitted to four Canadian hospital medical/surgical ICUs from 2014 to 2016 in Calgary, Alberta, Canada.

PARTICIPANTS

2837 mechanically ventilated adults (≥ 18 years) requiring admission to a medical/surgical ICU were evaluated for the relationship between sedation strategy and delirium.

INTERVENTIONS

None.

PRIMARY AND SECONDARY OUTCOME MEASURES

The primary exposure was dominant sedation strategy, defined as the sedative infusion, including midazolam, propofol or fentanyl, with the longest duration before the first delirium assessment. The primary outcome was 'ever delirium' identified using the Intensive Care Delirium Screening Checklist. Secondary outcomes included mortality, length of stay (LOS), ventilation duration and days with delirium. The cohort was analysed in two propensity score (patient characteristics and therapies received) matched cohorts (propofol vs fentanyl and propofol vs midazolam).

RESULTS

2837 patients (60.7% male; median age 57 years (IQR 43-68)) were considered for propensity matching. In propensity score-matched cohorts(propofol vs midazolam, n=712; propofol vs fentanyl, n=1732), the odds of delirium were significantly higher with midazolam (OR 1.46 (95% CI 1.06 to 2.00)) and fentanyl (OR 1.22 (95% CI 1.00 to 1.48)) compared with propofol dominant sedation strategies. Dominant sedation strategy with midazolam and fentanyl were associated with a longer duration of ventilation compared with propofol. Fentanyl was also associated with increased ICU mortality (OR 1.50, 95% CI 1.07 to 2.12)) ICU and hospital LOS compared with a propofol dominant sedation strategy.

CONCLUSIONS

We identified a novel association between fentanyl dominant sedation strategies and an increased risk of delirium, a composite outcome of delirium or death, duration of mechanical ventilation, ICU LOS and hospital LOS. Midazolam dominant sedation strategies were associated with increased delirium risk and mechanical ventilation duration.

Association Between Acute Kidney Injury Duration and Outcomes in Critically Ill Children

OBJECTIVES

Acute kidney injury occurs frequently in children during critical illness and is associated with increased morbidity, mortality, and health resource utilization. We aimed to examine the association between acute kidney injury duration and these outcomes.

DESIGN

Retrospective cohort study.

SETTINGS

PICUs in Alberta, Canada.

PATIENTS

All children admitted to PICUs in Alberta, Canada between January 1, 2015, and December 31, 2015.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

In total, 1,017 children were included, and 308 (30.3%) developed acute kidney injury during PICU stay. Acute kidney injury was categorized based on duration to transient (48 hr or less) or persistent (more than 48 hr). Transient acute kidney injury occurred in 240 children (77.9%), whereas 68 children (22.1%) had persistent acute kidney injury. Persistent acute kidney injury had a higher proportion of stage 2 and stage 3 acute kidney injury compared with transient acute kidney injury and was more likely to start within 24 hours from PICU admission. Persistent acute kidney injury occurred more frequently in those with higher illness severity and in those admitted with shock, sepsis, or with a history of transplant. Mortality varied significantly according to acute kidney injury status: 1.8% of children with no acute kidney injury, 5.4% with transient acute kidney injury, and 17.6% with persistent acute kidney injury died during hospital stay (p < 0.001). On multivariable analysis adjusting for illness and acute kidney injury severity, transient and persistent acute kidney injury were both associated with fewer ventilation-free days at 28 days (-1.28 d; 95% CI, -2.29 to -0.26 and -4.85 d; 95% CI, -6.82 to -2.88), vasoactive support-free days (-1.07 d; 95% CI, -2.00 to -0.15 and -4.24 d; 95% CI, -6.03 to -2.45), and hospital-free days (-1.93 d; 95% CI, -3.36 to -0.49 and -5.25 d; 95% CI, -8.03 to -2.47), respectively.

CONCLUSIONS

In critically ill children, persistent and transient acute kidney injury have different clinical characteristics and association with outcomes. Acute kidney injury, even when its duration is short, carries significant association with worse outcomes. This risk increases further if acute kidney injury persists longer independent of the degree of its severity.

Applying the Care and Communication Bundle to Promote Palliative Care in a Neuro-Intensive Care Unit: Why and How

Background: Delivery of palliative care in neurointensive care units (neuro-ICUs) can be inconsistent, often due to absence of formal care triggers. The Care and Communication Bundle (CCB) of Quality Indicators provides a standardized process to deliver effective palliative care services in ICUs, but application of these indicators in this setting has not yet been systemically assessed. Objectives: To evaluate the fit of a CCB in the neuro-ICU through a novel scoring system and identify barriers to adherence. Design: CCB standards for a neuro-ICU were delineated. Assessment of documented indicators and barriers was conducted through electronic medical record retrospective review. Setting/Subjects: A 30-bed neuro-ICU in a large Academic Medical Center in the Southeastern United States. Chart reviews were conducted for 133 critically ill neurology and neurosurgery patients who expired between November 2018 and January 2020. Results: Results demonstrate moderate adherence to CCB standards, including excellent consistency in establishment of patient-centered communication and referral to supportive services (e.g., social work, spiritual support). Identified areas for improvement include documentation of patient and family involvement in care process (i.e., advance directive completion, interdisciplinary team meetings). Conclusions: Application of the CCB in the neuro-ICU is useful for examining adherence to time-based triggers of palliative care standards. The novel scoring system offers opportunities to motivate improvement and reduce variation in palliative care integration.

Partnering With Family Members to Detect Delirium in Critically Ill Patients

OBJECTIVES

To evaluate the diagnostic accuracy of family-administered tools to detect delirium in critically ill patients.

DESIGN

Diagnostic accuracy study.

SETTING

Large, tertiary care academic hospital in a single-payer health system.

PATIENTS

Consecutive, eligible patients with at least one family member present (dyads) and a Richmond Agitation-Sedation Scale greater than or equal to -3, no primary direct brain injury, the ability to provide informed consent (both patient and family member), the ability to communicate with research staff, and anticipated to remain admitted in the ICU for at least a further 24 hours to complete all assessments at least once.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Family-administered delirium assessments (Family Confusion Assessment Method and Sour Seven) were completed once daily. A board-certified neuropsychiatrist and team of ICU research nurses conducted the reference standard assessments of delirium (based on Diagnostic and Statistical Manual for Mental Disorders, Fifth Edition, criteria) once daily for a maximum of 5 days. The mean age of the 147 included patients was 56.1 years (SD, 16.2 yr), 61% of whom were male. Family members (n = 147) were most commonly spouses (n = 71, 48.3%) of patients. The area under the receiver operating characteristic curve on the Family Confusion Assessment Method was 65.0% (95% CI, 60.0-70.0%), 71.0% (95% CI, 66.0-76.0%) for possible delirium (cutpoint of 4) on the Sour Seven and 67.0% (95% CI, 62.0-72.0%) for delirium (cutpoint of 9) on the Sour Seven. These area under the receiver operating characteristic curves were lower than the Intensive Care Delirium Screening Checklist (standard of care) and Confusion Assessment Method for ICU. Combining the Family Confusion Assessment Method or Sour Seven with the Intensive Care Delirium Screening Checklist or Confusion Assessment Method for ICU resulted in area under the receiver operating characteristic curves that were not significantly better, or worse for some combinations, than the Intensive Care Delirium Screening Checklist or Confusion Assessment Method for ICU alone. Adding the Family Confusion Assessment Method and Sour Seven to the Intensive Care Delirium Screening Checklist and Confusion Assessment Method for ICU improved sensitivity at the expense of specificity.

CONCLUSIONS

Family-administered delirium detection is feasible and has fair, but lower diagnostic accuracy than clinical assessments using the Intensive Care Delirium Screening Checklist and Confusion Assessment Method for ICU. Family proxy assessments are essential for determining baseline cognitive function. Engaging and empowering families of critically ill patients warrant further study.

Fluid Accumulation in Critically Ill Children

OBJECTIVES

To describe the characteristics of fluid accumulation in critically ill children and evaluate the association between the degree, timing, duration, and rate of fluid accumulation and patient outcomes.

DESIGN

Retrospective cohort study.

SETTING

PICUs in Alberta, Canada.

PATIENTS

All children admitted to PICU in Alberta, Canada, between January 1, 2015, and December 31, 2015.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

A total of 1,017 patients were included. Fluid overload % increased from median (interquartile range) 1.58% (0.23-3.56%; n = 1,017) on day 1 to 16.42% (7.53-27.34%; n = 111) on day 10 among those remaining in PICU. The proportion of patients (95% CI) with peak fluid overload % greater than 10% and greater than 20% was 32.7% (29.8-35.7%) and 9.1% (7.4-11.1%), respectively. Thirty-two children died (3.1%) in PICU. Peak fluid overload % was associated with greater PICU mortality (odds ratio, 1.05; 95% CI, 1.02-1.09; p = 0.001). Greater peak fluid overload % was associated with Major Adverse Kidney Events within 30 days (odds ratio, 1.05; 95% CI, 1.02-1.08; p = 0.001), length of mechanical ventilation (B coefficient, 0.66; 95% CI, 0.54-0.77; p < 0.001), and length of PICU stay (B coefficient, 0.52; 95% CI, 0.46-0.58; p < 0.001). The rate of fluid accumulation was associated with PICU mortality (odds ratio, 1.15; 95% CI, 1.01-1.31; p = 0.04), Major Adverse Kidney Events within 30 days (odds ratio, 1.16; 95% CI, 1.03-1.30; p = 0.02), length of mechanical ventilation (B coefficient, 0.80; 95% CI, 0.24-1.36; p = 0.005), and length of PICU stay (B coefficient, 0.38; 95% CI, 0.11-0.66; p = 0.007).

CONCLUSIONS

Fluid accumulation occurs commonly during PICU course and is associated with considerable mortality and morbidity. These findings highlight the need for the development and evaluation of interventional strategies to mitigate the potential harm associated with fluid accumulation.

Associations between caregiver-detected delirium and symptoms of depression and anxiety in family caregivers of critically ill patients: a cross-sectional study

BACKGROUND

Witnessing delirium can be distressing for family caregivers (i.e., relatives or friends) of critically ill patients. This study aimed to evaluate associations between caregiver-detected delirium in critically ill patients and depression and anxiety symptoms in their family caregivers.

METHODS

Consecutive adult patient-caregiver dyads were enrolled from a 28-bed medical-surgical intensive care unit. Patient delirium was screened for daily by family caregivers using the Sour Seven instrument. Family caregivers completed the Patient Health Questionnaire-9 (PHQ-9) and General Anxiety Disorder-7 (GAD-7) instruments daily to assess their own depression and anxiety symptoms. Response feature analysis was used to handle repeated measures. Descriptive statistics and regression analyses were completed.

RESULTS

One hundred forty-seven patient-caregiver dyads were enrolled. Clinically significant symptoms of depression and anxiety occurred in 27% and 35% of family caregivers, respectively. Caregiver-detected delirium occurred in 65% of patients, and was not associated with clinically significant caregiver depression (Odds Ratio [OR] 1.4, 95% Confidence Interval [95%CI] 0.6-3.1) or anxiety (OR 1.2, 95%CI 0.6-2.6) symptoms. When stratified by Sour Seven scores, scores 1-3 and 4-9 were associated with increased symptoms of anxiety (OR 3.1, 95%CI 1.3-7.0) and depression (OR 2.6, 95%CI 1.1-6.1) in family caregivers. Caregiver-detected delirium score was associated with severity of family caregiver anxiety symptoms (coefficient 0.2, 95%CI 0.1-0.4), but not depression symptoms (coefficient 0.2, 95%CI -0.0-0.3).

CONCLUSIONS

Caregiver-detected patient delirium was associated with increased depression and anxiety symptoms in family caregivers of critically ill patients. Further randomized research is required to confirm these associations.

Toxic Metabolic Encephalopathy in Hospitalized Patients with COVID-19

Background

Toxic metabolic encephalopathy (TME) has been reported in 7–31% of hospitalized patients with coronavirus disease 2019 (COVID-19); however, some reports include sedation-related delirium and few data exist on the etiology of TME. We aimed to identify the prevalence, etiologies, and mortality rates associated with TME in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-positive patients.

Methods

We conducted a retrospective, multicenter, observational cohort study among patients with reverse transcriptase–polymerase chain reaction-confirmed SARS-CoV-2 infection hospitalized at four New York City hospitals in the same health network between March 1, 2020, and May 20, 2020. TME was diagnosed in patients with altered mental status off sedation or after an adequate sedation washout. Patients with structural brain disease, seizures, or primary neurological diagnoses were excluded. The coprimary outcomes were the prevalence of TME stratified by etiology and in-hospital mortality (excluding comfort care only patients) assessed by using a multivariable time-dependent Cox proportional hazards models with adjustment for age, race, sex, intubation, intensive care unit requirement, Sequential Organ Failure Assessment scores, hospital location, and date of admission.

Results

Among 4491 patients with COVID-19, 559 (12%) were diagnosed with TME, of whom 435 of 559 (78%) developed encephalopathy immediately prior to hospital admission. The most common etiologies were septic encephalopathy (n = 247 of 559 [62%]), hypoxic-ischemic encephalopathy (HIE) (n = 331 of 559 [59%]), and uremia (n = 156 of 559 [28%]). Multiple etiologies were present in 435 (78%) patients. Compared with those without TME (n = 3932), patients with TME were older (76 vs. 62 years), had dementia (27% vs. 3%) or psychiatric history (20% vs. 10%), were more often intubated (37% vs. 20%), had a longer hospital length of stay (7.9 vs. 6.0 days), and were less often discharged home (25% vs. 66% [all P < 0.001]). Excluding comfort care patients (n = 267 of 4491 [6%]) and after adjustment for confounders, TME remained associated with increased risk of in-hospital death (n = 128 of 425 [30%] patients with TME died, compared with n = 600 of 3799 [16%] patients without TME; adjusted hazard ratio [aHR] 1.24, 95% confidence interval [CI] 1.02–1.52, P = 0.031), and TME due to hypoxemia conferred the highest risk (n = 97 of 233 [42%] patients with HIE died, compared with n = 631 of 3991 [16%] patients without HIE; aHR 1.56, 95% CI 1.21–2.00, P = 0.001).

Conclusions

TME occurred in one in eight hospitalized patients with COVID-19, was typically multifactorial, and was most often due to hypoxemia, sepsis, and uremia. After we adjustment for confounding factors, TME was associated with a 24% increased risk of in-hospital mortality.

Supplementary Information

The online version contains supplementary material available at 10.1007/s12028-021-01220-5.

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

BACKGROUND

There is conflicting evidence on the association between afterhours discharge from the intensive care unit (ICU) and hospital mortality. We examined the effects of afterhours discharge, including the potential effect of residual organ dysfunction, on hospital mortality in a large integrated health region.

METHODS

We performed a multi-center retrospective cohort study of 10,463 adults discharged from 9 mixed medical/surgical ICUs in Alberta from June 2012 to December 2014. We applied a 2-stage modeling strategy to investigate the association between afterhours discharge (19:00h to 07:59h) and post-ICU hospital mortality. We applied mixed-effect multi-variable linear regression to assess the relationship between discharge organ dysfunction and afterhours discharge. We then applied mixed-effect multi-variable logistic regression to evaluate the direct, indirect and integrated associations of afterhours discharge on hospital mortality and hospitalization duration.

RESULTS

Of 10,463 patients, 23.7% (n = 2,480) were discharged afterhours, of which 27.4% occurred on a holiday or weekend. This varied significantly by ICU size, type, and site. Patients discharged afterhours were more likely medical admissions, had greater multi-morbidity and illness acuity. A greater average SOFA score in the 72 hours prior to ICU discharge was not associated with afterhours discharge. However, a greater average SOFA score was associated with hospital mortality (adjusted-odds ratio [OR], 1.23; 95% CI, 1.18-1.28). Afterhours discharge was associated with higher hospital mortality (adjusted-OR, 1.19; 95% CI, 1.01-1.39), increased hospital stay (adjusted-risk ratio [RR], 1.10; 95% CI, 1.09-1.11) and increased post-ICU stay (adjusted-RR, 1.16; 95% CI, 1.14-1.17) when compared with workhours discharge.

CONCLUSIONS

Afterhours discharge is common, occurring in 1 in 4 discharges, and is widely variable across ICUs. Patients discharged afterhours have greater risk of hospital mortality and prolonged hospitalization.

Are there opportunities to improve care as patients transition through the cancer care continuum? A scoping review protocol

INTRODUCTION

Transitions in Care (TiC) are vulnerable periods in care delivery associated with adverse events, increased cost and decreased patient satisfaction. Patients with cancer encounter many transitions during their care journey due to improved survival rates and the complexity of treatment. Collectively, improving TiC is particularly important among patients with cancer. The objective of this scoping review is to synthesise and map the existing literature regarding TiC among patients with cancer in order to explore opportunities to improve TiC among patients with cancer.

METHODS AND ANALYSIS

This scoping review will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analysis-Scoping Review Extension and the Joanna Briggs Institute methodology. The PubMed cancer filter and underlying search strategy will be tailored to each database (Embase, Cochrane, CINAHL and PsycINFO) and combined with search terms for TiC. Grey literature and references of included studies will be searched. The search will include studies published from database inception until 9 February 2020. Quantitative and qualitative studies will be included if they describe transitions between any type of healthcare provider or institution among patients with cancer. Descriptive statistics will summarise study characteristics and quantitative data of included studies. Qualitative data will be synthesised using thematic analysis.

ETHICS AND DISSEMINATION

Our objective is to synthesise and map the existing evidence; therefore, ethical approval is not required. Evidence gaps around TiC will inform a programme of research aimed to improve high-risk transitions among patients with cancer. The findings of this scoping review will be published in a peer-reviewed journal and widely presented at academic conferences. More importantly, decision makers and patients will be provided a summary of the findings, along with data from a companion study, to prioritise TiC in need of interventions to improve continuity of care for patients with cancer.