Barriers to Glucose Control in the Intensive Care Unit

Evaluation of hospital management of paediatric out-of-hospital cardiac arrest

INTRODUCTION

Pediatric out of hospital cardiac arrest (POHCA) is rare, with high mortality and neurological morbidity. Adherence to Pediatric Advanced Life Support guidelines standardizes in-hospital care and improves outcomes. We hypothesized that in-hospital care of POHCA patients was variable and deviations from guidelines were associated with higher mortality.

METHODS

POHCA patients in the London-Middlesex region between January 2012 and June 2020 were included. The care of children with ongoing arrest (intra-arrest) and post-arrest outcomes were reviewed using the Children's Hospital, London Health Sciences Centre (LHSC) patient database and the Adverse Event Management System.

RESULTS

50 POHCA patients arrived to hospital, with 15 (30%) patients admitted and 2 (4.0%) surviving to discharge, both with poor neurological outcomes and no improvement at 90 days. Deviations occurred at every event with intra-arrest care deviations occurring mostly in medication delivery and defibrillation (98%). Post-arrest deviations occurred mostly in temperature monitoring (60%). Data missingness was 15.9% in the intra-arrest and 1.7% in the post-arrest group.

DISCUSSION

Deviations commonly occurred in both in-hospital arrest and post-arrest care. The study was under-powered to identify associations between DEVs and outcomes. Future work includes addressing specific deviations in intra-arrest and post-arrest care of POHCA patients and standardizing electronic documentation.

Compliance With an Antibiotic Guideline for Suspected Ventilator-Associated Infection: The Ventilator-Associated INfection (VAIN2) Study

OBJECTIVES

To evaluate a guideline for antibiotic decisions in children with suspected ventilator-associated infection.

DESIGN

Prospective, observational cohort study conducted in 22 PICUs in the United States and Canada.

SETTING

PICUs in 22 hospitals from April 2017 to January 2019.

SUBJECTS

Children less than 3 years old on mechanical ventilation greater than 48 hours who had respiratory secretions cultured and antibiotics initiated for suspected ventilator-associated infection.

INTERVENTIONS

After baseline data collection in children with suspected ventilator-associated infection (Phase 1), a consensus guideline was developed for advising antibiotic continuation or stopping at 48-72 hours (Phase 2) and implemented (Phase 3). Guideline-based antibiotic recommendations were provided to the treating clinicians once clinical and microbiologic data were available. Demographic and outcome data were collected, and guideline compliance and antibiotic utilization evaluated for Phase 1 and Phase 3.

MEASUREMENTS AND MAIN RESULTS

Despite education and implementation efforts, guideline-concordant antibiotic management occurred in 158 of 227 (70%) Phase 3 subjects compared with 213 of 281 (76%) in Phase 1. Illness severity and positive respiratory cultures were the primary determinants of antibiotic continuation. For subjects with a positive respiratory culture but a score for which antibiotic discontinuation was recommended (score ≤ 2), only 27% of Phase 3 subjects had antibiotics discontinued. Antibiotic continuation was not associated with improved outcomes in these subjects and was associated with significantly longer duration of ventilation (median 5.5 d longer) and PICU stay (5 d longer) in the overall study population. Positive respiratory cultures were not associated with outcomes irrespective of antibiotic treatment.

CONCLUSIONS

Antibiotic guideline efficacy and safety remain uncertain due to clinician failure to follow the guideline, instead primarily relying on respiratory culture results. Strategies to overcome clinician perceptions of respiratory cultures and other barriers will be vital for improving guideline adherence and antibiotic use in suspected ventilator-associated infection in future studies.

Intravenous levothyroxine stewardship program at a tertiary academic medical center

PURPOSE

Based on the pharmacokinetic profile of levothyroxine, a 3-day hold guideline for adult patients ordered for intravenous (IV) levothyroxine was implemented at a tertiary academic medical center. The purpose of this study was to evaluate the impact of the implementation of an IV levothyroxine hold guideline.

METHODS

This single-center, retrospective analysis identified patients ordered for IV levothyroxine during a 13-week period before and after implementation of the guideline. The primary outcome was guideline adherence, defined as full implementation of the 3-day hold. Secondary outcomes included the number of IV levothyroxine administrations avoided in the post-guideline group, extrapolated yearly cost avoidance (EYCA) after guideline implementation, reasons for guideline non-adherence, and number of safety reports involving IV levothyroxine.

RESULTS

A total of 166 and 134 patients met inclusion criteria for the pre- and post-guideline groups, respectively. Guideline adherence was observed in 94 (70.1%) patients, resulting in 276 vials saved in the 13-week post-guideline period, which translated to an EYCA of $139,877. Forty orders (29.9%) were non-adherent to the guideline, with the most common reason stated as nil per os (NPO). No difference in safety outcomes was seen between the pre- and post-guideline groups, as evidenced by 1 safety report in each group.

CONCLUSION

We observed a high rate of adherence to an IV levothyroxine hold guideline. This was associated with a substantial cost savings over the study period with no increase in reported safety events. To our knowledge, this is the first published report of an inpatient IV levothyroxine 3-day hold guideline.

Assessment of Glycemic Control Protocol (STAR) Through Compliance Analysis Amongst Malaysian ICU Patients

Purpose

This paper presents an assessment of an automated and personalized stochastic targeted (STAR) glycemic control protocol compliance in Malaysian intensive care unit (ICU) patients to ensure an optimized usage.

Patients and Methods

STAR proposes 1–3 hours treatment based on individual insulin sensitivity variation and history of blood glucose, insulin, and nutrition. A total of 136 patients recorded data from STAR pilot trial in Malaysia (2017–quarter of 2019*) were used in the study to identify the gap between chosen administered insulin and nutrition intervention as recommended by STAR, and the real intervention performed.

Results

The results show the percentage of insulin compliance increased from 2017 to first quarter of 2019* and fluctuated in feed administrations. Overall compliance amounted to 98.8% and 97.7% for administered insulin and feed, respectively. There was higher average of 17 blood glucose measurements per day than in other centres that have been using STAR, but longer intervals were selected when recommended. Control safety and performance were similar for all periods showing no obvious correlation to compliance.

Conclusion

The results indicate that STAR, an automated model-based protocol is positively accepted among the Malaysian ICU clinicians to automate glycemic control and the usage can be extended to other hospitals already. Performance could be improved with several propositions.

Implementation of a Prolonged Infusion Guideline for Time-Dependent Antimicrobial Agents at a Tertiary Academic Medical Center

Administration of time-dependent beta-lactam antibiotic as a prolonged infusion may maximize the pharmacodynamic target of time above the minimum inhibitory concentration. We describe the implementation of a prolonged infusion at a tertiary academic medical center, and a 1-year compliance analysis with the guideline. After performing a thorough literature search, a guideline was developed by members of the Department of Infectious Diseases and Department of Pharmacy. Approval and endorsement of the guideline was obtained by the Antimicrobial Subcommittee and Pharmacy and Therapeutics Committee. Physical champions were instrumental in the implementation of the guideline institution-wide. We then performed a 1-year retrospective analysis of guideline compliance from January 1, 2011 to December 31, 2011. Noncompliant administrations were obtained from smart infusion pumps. The total number of doses administered was taken from pharmacy information resources. In total, nearly 85,000 time-dependent doses were administered. Compliance with the prolonged infusion guideline was 89%. Rates of compliance did not significantly differ between medications (P = 0.555). Obtaining support from key stakeholders in collateral services and institutional leadership was vital for the success of this guideline. Compliance with the guideline 1 year after implementation was high. Implementation of a prolonged infusion guideline is feasible with institutional support and motivation.

Facilitating the safe use of insulin pens in hospitals through a mentored quality-improvement program

PURPOSE

Results of the MENTORED QUALITY IMPROVEMENT IMPACT PROGRAM℠ (MQIIP) on Ensuring Insulin Pen Safety in Hospitals, which was part of an ASHP educational initiative aimed at ensuring the safe use of insulin pens in hospitals, are described.

METHODS

During this ASHP initiative, which also included continuing-education activities and Web-based resources, distance mentoring by pharmacists with expertise in the safe use of insulin pens was provided to interprofessional teams at 14 hospitals between September 2014 and May 2015. The results of baseline assessments of nursing staff knowledge of insulin pen use, insulin pen storage and labeling audits, and insulin pen injection observations conducted in September and October 2014 were the basis for insulin pen quality-improvement plans. Postintervention data were collected in April and May 2015.

RESULTS

Compared with the baseline period, significant improvements in nurses' knowledge of insulin pen use, insulin pen labeling and storage, and insulin pen administration were observed in the postintervention period despite the relatively short time frame for implementation of quality-improvement plans. Program participants are committed to sustaining and building on improvements achieved during the program. The outcome measures described in this report could be adapted by other health systems to identify opportunities to improve the safety of insulin pen use.

CONCLUSION

Focused attention on insulin pen safety through an interprofessional team approach during the MQIIP enabled participating sites to detect potential safety issues based on collected data, develop targeted process changes, document improvements, and identify areas requiring further intervention. A sustained organizational commitment is required to ensure the safe use of insulin pen devices in hospitals.

International multidisciplinary consensus conference on multimodality monitoring: ICU processes of care

There is an increased focus on evaluating processes of care, particularly in the high acuity and cost environment of intensive care. Evaluation of neurocritical-specific care and evidence-based protocol implementation are needed to effectively determine optimal processes of care and effect on patient outcomes. General quality measures to evaluate intensive care unit (ICU) processes of care have been proposed; however, applicability of these measures in neurocritical care populations has not been established. A comprehensive literature search was conducted for English language articles from 1990 to August 2013. A total of 1,061 articles were reviewed, with 145 meeting criteria for inclusion in this review. Care in specialized neurocritical care units or by neurocritical teams can have a positive impact on mortality, length of stay, and in some cases, functional outcome. Similarly, implementation of evidence-based protocol-directed care can enhance outcome in the neurocritical care population. There is significant evidence to support suggested quality indicators for the general ICU population, but limited research regarding specific use in neurocritical care. Quality indices for neurocritical care have been proposed; however, additional research is needed to further validate measures.

Population-Specific Models of Glycemic Control in Intensive Care: Towards a Simulation-Based Methodology for Protocol Optimization

Stress-induced hyperglycemia is common in critically ill patients, where elevated blood glucose and glycemic variability have been found to contribute to infection, slow wound healing, and short-term mortality. Early clinical studies demonstrated improvement in mortality and morbidity resulting from intensive insulin therapy targeting euglycemia. Follow-up clinical studies have shown mixed results suggesting that the risk of hypoglycemia may outweigh the benefits of aggressive glycemic control. None of the prior studies clarify whether euglycemic targets are in themselves harmful, or if the danger lies in the inadequacy of the available methods for achieving desired glycemic outcomes. In this paper, we use a recently developed simulation model of stress hyperglycemia to demonstrate that given an insulin protocol glycemic outcomes are specific to the patient population under consideration, and that there is a need to optimize insulin therapy at the population level. Next, we use the simulator to demonstrate that the performance of Adaptive Proportional Feedback (APF), a popular format for computerized insulin therapy, is sensitive to its parameters, especially to the parameters that govern the aggressiveness of adaptation. Finally, we propose a framework for simulation-based protocol optimization using an objective function that penalizes below-range deviations more heavily than comparable deviations above.

Glucose control positively influences patient outcome: A retrospective study

OBJECTIVE

The goal of this research is to demonstrate that well-regulated glycemia is beneficial to patient outcome, regardless of how it is achieved.

METHODS

This analysis used data from 1701 patients from 2, independent studies. Glycemic outcome was measured using cumulative time in band (cTIB), calculated for 3 glycemic bands and for threshold values of t = 0.5, 0.6, 0.7, and 0.8. For each day of intensive care unit stay, patients were classified by cTIB, threshold, and hospital mortality, and odds of living (OL) and odds ratio were calculated.

RESULTS

The OL given cTIB ≥ t is higher than the OL given cTIB <t for all values of t, every day, for all 3 glycemic bands studied. The difference between the odds clearly increased over intensive care unit stay for t>0.6. Higher cTIB thresholds resulted in larger increases to odds ratio over time and were particularly significant for the 4.0 to 7.0 mmol/L glycemic band.

CONCLUSION

Increased cTIB was associated with higher OL. These results suggest that effective glycemic control positively influences patient outcome, regardless of how the glycemic regulation is achieved. Blood glucose < 7.0 mmol/L is associated with a measurable increase in the odds of survival, if hypoglycemia is avoided.

Stability study of carboplatin infusion solutions in 0.9% sodium chloride in polyvinyl chloride bags

Background and purpose

Carboplatin is a platinum-containing compound with efficacy against various malignancies. The physico-chemical stability of carboplatin in dextrose 5% water (D5W) has been thoroughly studied; however, there is a paucity of stability data in clinically relevant 0.9% sodium chloride infusion solutions. The manufacturer’s limited stability data in sodium chloride solutions hampers the flexibility of carboplatin usage in oncology patients. Hence, the purpose of this study is to determine the physical and chemical stability of carboplatin–sodium chloride intravenous solutions under different storage conditions.

Methods

The physico-chemical stability of 0.5 mg/mL, 2.0 mg/mL, and 4.0 mg/mL carboplatin–sodium chloride solutions prepared in polyvinyl chloride bags was determined following storage at room temperature under ambient fluorescent light and under refrigeration in the dark. Concentrations of carboplatin were measured at predetermined time points up to seven days using a stability-indicating high-performance liquid chromatography method.

Results

All tested solutions were found physically stable for at least seven days. The greatest chemical stability was observed under refrigerated storage conditions. At 4℃, all tested solutions were found chemically stable for at least seven days, with nominal losses of ≤6%. Following storage at room temperature exposed to normal fluorescent light, the chemical stability of 0.5 mg/mL, 2.0 mg/mL, and 4.0 mg/mL solutions was three days, five days, and seven days, respectively.

Conclusion

The extended physico-chemical stability of carboplatin prepared in sodium chloride reported herein permits advance preparation of these admixtures, facilitating pharmacy utility and operations. Since no antibacterial preservative is contained within these carboplatin solutions, we recommend storage, when prepared under specified aseptic conditions, no greater than 24 h at room temperature or three days under refrigeration.

Comparison of the efficacy and safety of two different insulin infusion protocols in the medical intensive care unit

BACKGROUND

New guidelines recommend using less intensive glycemic goals in critically ill patients receiving insulin infusions.

OBJECTIVE

To compare the efficacy and safety of a modified insulin infusion protocol (MIIP) with less stringent blood glucose (BG) goals to an intensive insulin infusion protocol (IIIP) in patients in a medical intensive care unit (MICU).

METHODS

Retrospective review of patients receiving an insulin infusion for at least 24 hours. Patients treated for hyperglycemic emergencies were excluded. The primary endpoint of the study was mean area under the BG curve (BG-AUC) at 24 and 48 hours. Other endpoints included mean BG, hours until BG at goal, rate of BG above goal, frequency of BG measurements, and rate of hypoglycemia.

RESULTS

BG-AUC at 24 hours was similar between the groups (MIIP = 5177.7 ± 1221.3 mg/dL x h vs IIIP = 4850.3 ± 1301.7 mg/dL x h; P = .20). The mean BG level at 24 hours was 225.1 ± 91.1 mg/dL in the MIIP group and 205.7 ± 89.7 mg/dL in the IIIP group (P = .06). In the MIIP group, 61.7% of the BG levels were above goal as compared to 87.5% in the IIIP group (P < .0001). Patients were able to achieve BG goals faster with the MIIP (12.58 ± 10.5 hours vs 29.37 ± 16.8 hours; P < .001). The rate of severe hypoglycemia was lower at 24 hours in the patients following the MIIP (0% vs 0.3%; P = .01).

CONCLUSION

The study showed that by having less intensive glycemic goals, goal BG levels can achieved faster and the rate of severe hypoglycemia can decrease.

Development of a computerized intravenous insulin application (AutoCal) at Kaiser Permanente Northwest, integrated into Kaiser Permanente HealthConnect: impact on safety and nursing workload

CONTEXT

The electronic medical record, HealthConnect, at the Kaiser Sunnyside Medical Center in the Northwest used scanned paper protocols for intravenous insulin administration. A chart review of 15 patients on intravenous insulin therapy using state-of-the-art paper-based column protocols revealed 40% deviation from the protocol. A time study of experienced nurses computing the insulin dose revealed an average of 2 minutes per calculation per hour to complete.

OBJECTIVE

To improve patient safety and to reduce nursing workload burden with a computerized intravenous insulin calculator application connected to HealthConnect.

SOLUTION

Using Kaiser iLab developers through innovation funding, a computerized protocol was developed and integrated into HealthConnect, with a computerized tracking system used to store and to analyze intravenous insulin data.

OUTCOME

A review of 35 patient charts using computerized insulin infusion tool indicated 100% accuracy in computations with a reduction of nursing workload from 2 minutes to 30 seconds per calculation.

CONCLUSION

Development and operationalizing an integrated intravenous insulin calculator into HealthConnect was successfully completed at the Kaiser Sunnyside Medical Center, with 97% nursing satisfaction scores and a promise to generate data on intravenous insulin therapy to refine the protocol.

Guidelines for the use of an insulin infusion for the management of hyperglycemia in critically ill patients

OBJECTIVE

To evaluate the literature and identify important aspects of insulin therapy that facilitate safe and effective infusion therapy for a defined glycemic end point.

METHODS

Where available, the literature was evaluated using Grades of Recommendation, Assessment, Development, and Evaluation (GRADE) methodology to assess the impact of insulin infusions on outcome for general intensive care unit patients and those in specific subsets of neurologic injury, traumatic injury, and cardiovascular surgery. Elements that contribute to safe and effective insulin infusion therapy were determined through literature review and expert opinion. The majority of the literature supporting the use of insulin infusion therapy for critically ill patients lacks adequate strength to support more than weak recommendations, termed suggestions, such that the difference between desirable and undesirable effect of a given intervention is not always clear.

RECOMMENDATIONS

The article is focused on a suggested glycemic control end point such that a blood glucose ≥ 150 mg/dL triggers interventions to maintain blood glucose below that level and absolutely <180 mg/dL. There is a slight reduction in mortality with this treatment end point for general intensive care unit patients and reductions in morbidity for perioperative patients, postoperative cardiac surgery patients, post-traumatic injury patients, and neurologic injury patients. We suggest that the insulin regimen and monitoring system be designed to avoid and detect hypoglycemia (blood glucose ≤ 70 mg/dL) and to minimize glycemic variability.Important processes of care for insulin therapy include use of a reliable insulin infusion protocol, frequent blood glucose monitoring, and avoidance of finger-stick glucose testing through the use of arterial or venous glucose samples. The essential components of an insulin infusion system include use of a validated insulin titration program, availability of appropriate staffing resources, accurate monitoring technology, and standardized approaches to infusion preparation, provision of consistent carbohydrate calories and nutritional support, and dextrose replacement for hypoglycemia prevention and treatment. Quality improvement of glycemic management programs should include analysis of hypoglycemia rates, run charts of glucose values <150 and 180 mg/dL. The literature is inadequate to support recommendations regarding glycemic control in pediatric patients.

CONCLUSIONS

While the benefits of tight glycemic control have not been definitive, there are patients who will receive insulin infusion therapy, and the suggestions in this article provide the structure for safe and effective use of this therapy.

Improving glycemic control with the adjunct use of a data management software program

BACKGROUND

Published studies have supported the implementation of tight glucose control (TGC) programs to improve patient outcomes and reduce mortality rates. However, measuring a program's efficiency is challenging, because of a lack of systems that capture data, allow access to data, and support analysis and interpretation in a near prospective time frame. We hypothesized that providing clinicians access to real-time blood glucose (BG) results reports could improve the efficacy of our TGC program.

METHODS

We performed a retrospective review of BG data during a 12-month period in a surgical trauma intensive care unit at a level I trauma center. A unit-specific insulin algorithm was used throughout the study. We compared BG values before and after the implementation of a data management software program that allowed clinicians access to real-time BG results reports. Reports were run daily and weekly to monitor the unit's TGC program.

RESULTS

A total of 70 616 BG values from 1044 patients were analyzed. An overall decrease was observed in the BG level mean, from 121 mg/dL to 112 mg/dL (P < .001), as well as a decrease in the aggregated mean across patients, from 132 mg/dL to 119 mg/dL (P < .001), after implementation of the software. The percentage of values within the target range of 80 to 110 mg/dL increased from 38.9% to 50.4% (P < .001). The percentage of BG values less than 70 increased from 2.7% to 3.4% (P < .001). However, the percentage of severe hypoglyce-mic episodes (≤ 40 mg/dL) remained unchanged.

CONCLUSIONS

Access to real-time aggregated BG data reports through the use of a data management software program improved the efficacy of our TGC program.

Evaluation of blood glucose values in critically ill patients before and after implementation of an intensive insulin infusion protocol

This retrospective study evaluated the effect of an intensive insulin infusion protocol on blood glucose values in five intensive care units at Baylor University Medical Center. The protocol involved an equation in which the hourly blood glucose value and an adjusted multiplier were used to determine the insulin infusion rate. The default target blood glucose range was 90 to 120 mg/dL. Results showed that blood glucose values taken by diabetic fingerstick were significantly better in March 2006, after initiation of the protocol, than in March 2005, before use of the protocol, for the percentage of patients both with a blood glucose value >150 mg/dL (P < 0.001) and with a blood glucose value >120 mg/dL (P < 0.001). The percentage of patients with a blood glucose value ≤80 mg/dL was not significantly different between the two time periods (P > 0.10). The increased number of diabetic fingerstick values within a desired range was achieved without a significantly higher number of blood glucose values ≤80 mg/dL. It can be theorized that wide use of the protocol was at least partly responsible for the significant change in blood glucose values.

Barriers and facilitators to the use of computer-based intensive insulin therapy

PURPOSE

Computerized clinical decision support systems (CDSSs) for intensive insulin therapy (IIT) are increasingly common. However, recent studies question IIT's safety and mortality benefit. Researchers have identified factors influencing IIT performance, but little is known about how workflow affects computer-based IIT. We used ethnographic methods to evaluate IIT CDSS with respect to other clinical information systems and care processes.

METHODS

We conducted direct observation of and unstructured interviews with nurses using IIT CDSS in the surgical and trauma intensive care units at an academic medical center. We observed 49h of intensive care unit workflow including 49 instances of nurses using IIT CDSS embedded in a provider order entry system. Observations focused on the interaction of people, process, and technology. By analyzing qualitative field note data through an inductive approach, we identified barriers and facilitators to IIT CDSS use.

RESULTS

Barriers included (1) workload tradeoffs between computer system use and direct patient care, especially related to electronic nursing documentation, (2) lack of IIT CDSS protocol reminders, (3) inaccurate user interface design assumptions, and (4) potential for error in operating medical devices. Facilitators included (1) nurse trust in IIT CDSS combined with clinical judgment, (2) nurse resilience, and (3) paper serving as an intermediary between patient bedside and IIT CDSS.

CONCLUSION

This analysis revealed sociotechnical interactions affecting IIT CDSS that previous studies have not addressed. These issues may influence protocol performance at other institutions. Findings have implications for IIT CDSS user interface design and alerts, and may contribute to nascent general CDSS theory.

Implementation of a guideline for the treatment of pain, sedation, agitation and neuromuscular blockade in the mechanically ventilated adult patient in the emergency department

Purpose:

When emergency department (ED) overcrowding includes admitted mechanically ventilated (MV) critically-ill patients without an open intensive care unit (ICU) bed, emergency providers must deliver ICU level care in the ED. Implementing standardized hospital based clinical guidelines may help providers achieve uniform care standards for assessing and managing pain and sedation for the MV patient.

Objective:

This paper is a description of a hospital performance improvement project that was implemented in the ED. The objective of this study was to measure the degree of adoption of a hospital-wide clinical guideline for the management of pain, sedation and neuromuscular blockade in MV patients into clinical practice in the ED.

Methods:

A retrospective analysis was performed for all mechanically ventilated patients who were admitted from ED to an Intensive Care Unit (ICU). Patient charts were reviewed before (December 2005) and after the implementation of the guideline (June, August, and December 2006). Data was collected and analyzed for the ED visit only and no ICU data was used. The primary outcome was the degree of adoption of the guideline by emergency providers into their daily clinical practice.

Results:

A convenience sample of 170 adult MV patients who were admitted to the ICU during the preselected time period was analyzed. There were no demographic differences between groups of patients observed during each month interval, age (P = 0.34), gender (P = 0.40), race (P = 0.14), and Hispanic ethnicity (P = 0.84). Overall, there was an increase in the provider use of propofol (P < 0.01), RASS sedation scale (P < 0.01), and a decrease in the use of a paralytic agent (P < 0.01).

Conclusion:

There was partial adoption of a guideline into their clinical practice by emergency providers in a busy urban emergency department. Across the 12-month implementation period, there was improvement in the assessment of and use of analgesia and sedation for MV patients.

Characteristics and effects of nurse dosing over-rides on computer-based intensive insulin therapy protocol performance

OBJECTIVE

To determine characteristics and effects of nurse dosing over-rides of a clinical decision support system (CDSS) for intensive insulin therapy (IIT) in critical care units.

DESIGN

Retrospective analysis of patient database records and ethnographic study of nurses using IIT CDSS.

MEASUREMENTS

The authors determined the frequency, direction-greater than recommended (GTR) and less than recommended (LTR)- and magnitude of over-rides, and then compared recommended and over-ride doses' blood glucose (BG) variability and insulin resistance, two measures of IIT CDSS associated with mortality. The authors hypothesized that rates of hypoglycemia and hyperglycemia would be greater for recommended than over-ride doses. Finally, the authors observed and interviewed nurse users.

RESULTS

5.1% (9075) of 179,452 IIT CDSS doses were over-rides. 83.4% of over-ride doses were LTR, and 45.5% of these were ≥ 50% lower than recommended. In contrast, 78.9% of GTR doses were ≤ 25% higher than recommended. When recommended doses were administered, the rate of hypoglycemia was higher than the rate for GTR (p = 0.257) and LTR (p = 0.033) doses. When recommended doses were administered, the rate of hyperglycemia was lower than the rate for GTR (p = 0.003) and LTR (p < 0.001) doses. Estimates of patients' insulin requirements were higher for LTR doses than recommended and GTR doses. Nurses reported trusting IIT CDSS overall but appeared concerned about recommendations when administering LTR doses.

CONCLUSION

When over-riding IIT CDSS recommendations, nurses overwhelmingly administered LTR doses, which emphasized prevention of hypoglycemia but interfered with hyperglycemia control, especially when BG was >150 mg/dl. Nurses appeared to consider the amount of a recommended insulin dose, not a patient's trend of insulin resistance, when administering LTR doses overall. Over-rides affected IIT CDSS protocol performance.

Effects of blood glucose transcription mismatches on a computer-based intensive insulin therapy protocol

PURPOSE

Computerized clinical decision support systems (CDSS) for intensive insulin therapy (IIT) generate recommendations using blood glucose (BG) values manually transcribed from testing devices to computers, a potential source of error. We quantified the frequency and effect of blood glucose transcription mismatches on IIT protocol performance.

METHODS

We examined 38 months of retrospective data for patients treated with CDSS IIT in two intensive care units at one teaching hospital. A manually transcribed BG value not equal to a corresponding device value was deemed mismatched. For mismatches we recalculated CDSS recommendations using device BG values. We compared matched and mismatched data in terms of CDSS alerts, blood glucose variability, and dosing.

RESULTS

Of 189,499 CDSS IIT instances, 5.3% contained mismatched BG values. Mismatched data triggered 93 false alerts and failed to issue 170 alerts for nurses to notify physicians. Four of six BG variability measures differed between matched and mismatched data. Overall insulin dose was greater for matched than mismatched [matched 3.8 (1.6-6.0), median (interquartile range, IQR), versus 3.6 (1.6-5.7); p < 0.001], but recalculated and actual dose were similar. In mismatches preceding hypoglycemia, recalculated insulin dose was significantly lower than actual dose [recalculated 2.7 (0.4-5.0), median (IQR), versus 3.5 (1.4-5.6)]. In mismatches preceding hyperglycemia, recalculated insulin dose was significantly greater than actual dose [recalculated 4.7 (3.3-6.2), median (IQR), versus 3.3 (2.4-4.3); p < 0.001]. Administration of recalculated doses might have prevented blood glucose excursions.

CONCLUSIONS

Mismatched blood glucose values can influence CDSS IIT protocol performance.

A practical tool to identify and eliminate barriers to compliance with evidence-based guidelines

A practical tool provides an interdisciplinary approach to identify barriers to guideline compliance and implement actions to eliminate or mitigate the effect of the barriers.

Social, organizational, and contextual characteristics of clinical decision support systems for intensive insulin therapy: a literature review and case study

INTRODUCTION

Evaluations of computerized clinical decision support systems (CDSS) typically focus on clinical performance changes and do not include social, organizational, and contextual characteristics explaining use and effectiveness. Studies of CDSS for intensive insulin therapy (IIT) are no exception, and the literature lacks an understanding of effective computer-based IIT implementation and operation.

RESULTS

This paper presents (1) a literature review of computer-based IIT evaluations through the lens of institutional theory, a discipline from sociology and organization studies, to demonstrate the inconsistent reporting of workflow and care process execution and (2) a single-site case study to illustrate how computer-based IIT requires substantial organizational change and creates additional complexity with unintended consequences including error.

DISCUSSION

Computer-based IIT requires organizational commitment and attention to site-specific technology, workflow, and care processes to achieve intensive insulin therapy goals. The complex interaction between clinicians, blood glucose testing devices, and CDSS may contribute to workflow inefficiency and error. Evaluations rarely focus on the perspective of nurses, the primary users of computer-based IIT whose knowledge can potentially lead to process and care improvements.

CONCLUSION

This paper addresses a gap in the literature concerning the social, organizational, and contextual characteristics of CDSS in general and for intensive insulin therapy specifically. Additionally, this paper identifies areas for future research to define optimal computer-based IIT process execution: the frequency and effect of manual data entry error of blood glucose values, the frequency and effect of nurse overrides of CDSS insulin dosing recommendations, and comprehensive ethnographic study of CDSS for IIT.

Evaluation of Compliance with a Paper-based, Multiplication-factor, Intravenous Insulin Protocol

Background:

Hyperglycemia is common in critically ill patients and is an independent risk factor for in-hospital morbidity and mortality.

Objective:

To assess compliance with a paper-based, multiplication-factor, intravenous insulin protocol.

Methods:

A retrospective chart review was conducted in a 720-bed urban, academic medical center in Boston, Massachusetts. During a 1-month period, compliance with and the consequent safety and efficacy of the Brigham and Women's Hospital paper-based, multiplication-factor, intravenous insulin protocol was evaluated.

Results:

The primary endpoint of protocol compliance, defined as correct adjustment to insulin infusion rate and correct timing of bedside blood glucose concentration (BBGC) checks ±10 minutes of prespecified BBGC check according to the Brigham and Women's Hospital Intravenous Insulin Protocol (BHIP), was 47.2%. Seventy-two patients met inclusion criteria. Appropriate adjustment of infusion rates occurred 68.2% (1206/1768) of the time. Compliance with the timing of BBGC checks was found to be the majority of protocol violations. BBGCs were monitored ±5 minutes of indicated time per the protocol 26.2% (463/1768) of the time. Blood glucose concentration checks within extended timing of ±10 minutes of indicated time per the protocol occurred 793 (44.8%) times. Blood glucose concentration monitoring took place greater than 20 minutes past indicated time 450 (25.5%) times. In 1768 measurements, blood glucose concentrations between 40 and 60 mg/dL occurred 23 (1.3%) times in 12 (16.7%) patients. Blood glucose concentrations 40 mg/dL or less were detected 3 (0.17%) times in 2 (2.7%) patients. None of these hypoglycemic events led to documented complications.

Conclusions:

Overall, a rather low level of compliance with a paper-based, multiplication-factor, intravenous insulin protocol was observed, which warrants further investigation. Compliance rates in this evaluation were found to be similar to the rates observed in previously evaluated fixed-dose intravenous insulin protocols. Protocol noncompliance may be associated with hypo- and hyperglycemia.

Impact of human factors on clinical protocol performance: a proposed assessment framework and case examples

BACKGROUND

Hyperglycemia is prevalent in critical care and tight control can save lives. Current ad-hoc clinical protocols require significant clinical effort and can often produce highly variable results. Thus, tight control remains elusive as there is not enough understanding of the relationship between control performance and protocol design, particularly with regard to how a given protocol is implemented.

METHODS

This article examines the role of human factors and how individuals relate to technological protocols in clinical settings. The study consists of an overall brief review that is used to create a first graphical representation of the impact of human factors in clinical medical protocol implementations. This initial framework is examined in the context of two similar, but different, case studies-the specialized relative insulin and nutrition tables glycemic control protocol and the TREAT system for antibiotic selection.

RESULTS

A graphical framework relating the human factors impact on medical protocol implementation is created. This framework describes the primary impacts on performance as resulting from clinical burden and protocol transparency. Their primary effect is on compliance with the protocol, which directly affects performance and outcome, particularly in long-term studies versus short pilot studies.

SUMMARY

Compliance is a key element in obtaining the best clinical outcome that a given protocol can provide. The issues that most affect compliance are quite often unrelated to the patient or treatment, but are a function of the protocol design and its ability to integrate (by its design) into a given clinical setting. A framework for examining these issues in design and in post-hoc assessment is therefore proposed and examined in two brief case studies.

A randomized study in diabetic patients undergoing cardiac surgery comparing computer-guided glucose management with a standard sliding scale protocol

OBJECTIVE

The aim of this study was to compare a standard insulin protocol with a computer-guided glucose management system to determine which method achieves tighter glucose control.

DESIGN

A prospective, randomized trial.

SETTING

A cardiothoracic intensive care unit (ICU) in a large academic medical center.

PARTICIPANTS

Forty patients with diabetes mellitus who were scheduled for cardiac surgery.

INTERVENTIONS

After induction of anesthesia and for the first 9 hours in the ICU, each subject received a standardized infusion of a 10% glucose solution at a rate of 1.0 mL/kg/h (ideal body weight). The subjects were then randomized to have their glucose controlled by either a paper-based insulin protocol or by a computer-guided glucose management system (CG). The desired range for blood glucose was set between 90 and 150 mg/dL.

MEASUREMENTS AND MAIN RESULTS

There were no differences between groups in baseline characteristics. Patients in the CG group spent more time in the desired range during both the intraoperative phase (49% v 27%, p = 0.001) and the ICU phase (84% v 60%, p < 0.0001). There were no statistical differences between groups in the number of hypoglycemia episodes.

CONCLUSIONS

The computer-guided glucose management system achieved tighter blood glucose control than a standard paper-based protocol in diabetic patients undergoing cardiac surgery. However, the low proportion of blood glucose recordings within the desired range in both groups during the intraoperative period reflects the challenges associated with achieving normoglycemia during cardiac surgery.

Intensive insulin therapy for acute hyperglycemia

There is growing evidence that control of hyperglycemia in the critically ill patient improves outcome. Normalizing blood glucose levels decreases the risk of developing sepsis, end-organ damage, and hospital mortality. Critical care clinicians must be familiar with current and benchmark research supporting control of hyperglycemia and use this knowledge to ensure appropriate application of evidence-based practice for decreasing or preventing complications in the critically ill patient. This article describes the effects of hyperglycemia and discusses the evidence supporting tight glycemic control in such patients. The necessary steps to implement an intensive insulin therapy protocol for control of acute hyperglycemia are detailed.

Utilization of a computerized intravenous insulin infusion program to control blood glucose in the intensive care unit

BACKGROUND

This proof of concept study was designed to evaluate the safety and effectiveness of an intravenous insulin dosing calculator, the Clarian GlucoStabilizer program, and to determine the feasibility of its use as part of a glycemic control program. This paper discusses the impact of the GlucoStabilizer program on the glycemic control of intensive care patients with hyperglycemia.

METHODS

Patients admitted to the intensive care unit (ICU), requiring intravenous insulin, were treated using the GlucoStabilizer program. This program calculates an insulin drip rate based on the low and high blood glucose (BG) levels of the desired target range, the patient's current and previous BG levels, and an insulin sensitivity factor, with a goal of safely and expeditiously achieving and maintaining the patient's BG in the target range.

RESULTS

From October 2004 through March 2006, the GlucoStabilizer program has been used to treat 2,398 patients in the ICUs, with 177,279 BG measurements in its database. In these patients, 61.0% of BGs have been in the target range of 80-110 mg/dL, while 90.9% have been in the wider range of 60-150 mg/dL. The average BG was 106.5 mg/dL (SD 39.1 mg/dL), and the frequency of hypoglycemia (BG <50 mg/dL) was 0.4%. These results compare favorably with the level of glycemic control in the 3 months before implementation of the GlucoStabilizer program.

CONCLUSIONS

Use of the GlucoStabilizer program in the ICU resulted in improved glycemic control compared to the previous manually calculated glycemic control protocols.