Association Between Mobile Telephone Interruptions and Medication Administration Errors in a Pediatric Intensive Care Unit

Association of patient photographs and reduced retract-and-reorder events

Background

Wrong-patient order entry (WPOE) is a potentially dangerous medical error. It remains unknown if patient photographs reduce WPOE in the pediatric inpatient population.

Materials and Methods

Order sessions from a single pediatric hospital system were examined for retract-and-reorder (RAR) events, a surrogate WPOE measure. We determined the association of patient photographs with the proportion of order sessions resulting in a RAR event, adjusted for patient, provider, and ordering context.

Results

In multivariable analysis, the presence of a patient photo in the electronic health record was associated with 40% lower odds of a RAR event (aOR: 0.60, 95% CI: 0.48-0.75), while cardiac and ICU contexts had higher RAR frequency (aOR: 2.12, 95% CI: 1.69-2.67 and 2.05, 95% CI: 1.71-2.45, respectively).

Discussion and Conclusion

Patient photos were associated with lower odds of RAR events in the pediatric inpatient setting, while high acuity locations may be at higher risk. Patient photographs may reduce WPOE without interruptions.

An Interruption Management Education Bundle: Feasibility Testing With Nursing Students

BACKGROUND

Interruptions and distractions are pervasive in health care settings, increase risks for errors, and decrease task efficiency. Researchers recommend the use of strategies to mitigate their negative effects.

PURPOSE

The purpose was to assess the feasibility and acceptability of (1) an education bundle that included an interruption management strategy and (2) simulated scenarios with embedded interruptions and distractions.

METHODS

Nineteen undergraduate nursing students participated in this repeated-measures, multimethods feasibility study. Data on interruption management behaviors were collected across 3 timepoints via direct observation of individual-simulated medication administration. Participants' perceptions of the education bundle were explored via semistructured interviews.

RESULTS

Participants described the simulated scenarios as realistic and interruption management strategy as easy to use and remember. Participants voiced increased confidence in handling interruptions after learning the strategy. The strategy averaged 4 seconds to apply.

CONCLUSIONS

Findings support the feasibility and acceptability of the bundle and need for studies to investigate the impact of the strategy on errors and task durations.

Characterizing the Patterns of Electronic Health Record-Integrated Secure Messaging Use: Cross-Sectional Study

BACKGROUND

Communication among health care professionals is essential for the delivery of safe clinical care. Secure messaging has rapidly emerged as a new mode of asynchronous communication. Despite its popularity, relatively little is known about how secure messaging is used and how such use contributes to communication burden.

OBJECTIVE

This study aims to characterize the use of an electronic health record-integrated secure messaging platform across 14 hospitals and 263 outpatient clinics within a large health care system.

METHODS

We collected metadata on the use of the Epic Systems Secure Chat platform for 6 months (July 2022 to January 2023). Information was retrieved on message volume, response times, message characteristics, messages sent and received by users, user roles, and work settings (inpatient vs outpatient).

RESULTS

A total of 32,881 users sent 9,639,149 messages during the study. Median daily message volume was 53,951 during the first 2 weeks of the study and 69,526 during the last 2 weeks, resulting in an overall increase of 29% (P=.03). Nurses were the most frequent users of secure messaging (3,884,270/9,639,149, 40% messages), followed by physicians (2,387,634/9,639,149, 25% messages), and medical assistants (1,135,577/9,639,149, 12% messages). Daily message frequency varied across users; inpatient advanced practice providers and social workers interacted with the highest number of messages per day (median 19). Conversations were predominantly between 2 users (1,258,036/1,547,879, 81% conversations), with a median of 2 conversational turns and a median response time of 2.4 minutes. The largest proportion of inpatient messages was from nurses to physicians (972,243/4,749,186, 20% messages) and physicians to nurses (606,576/4,749,186, 13% messages), while the largest proportion of outpatient messages was from physicians to nurses (344,048/2,192,488, 16% messages) and medical assistants to other medical assistants (236,694/2,192,488, 11% messages).

CONCLUSIONS

Secure messaging was widely used by a diverse range of health care professionals, with ongoing growth throughout the study and many users interacting with more than 20 messages per day. The short message response times and high messaging volume observed highlight the interruptive nature of secure messaging, raising questions about its potentially harmful effects on clinician workflow, cognition, and errors.

Pseudorandomized Testing of a Discharge Medication Alert to Reduce Free-Text Prescribing

BACKGROUND

Pseudorandomized testing can be applied to perform rigorous yet practical evaluations of clinical decision support tools. We apply this methodology to an interruptive alert aimed at reducing free-text prescriptions. Using free-text instead of structured computerized provider order entry elements can cause medication errors and inequity in care by bypassing medication-based clinical decision support tools and hindering automated translation of prescription instructions.

OBJECTIVE

The objective of this study is to evaluate the effectiveness of an interruptive alert at reducing free-text prescriptions via pseudorandomized testing using native electronic health records (EHR) functionality.

METHODS

Two versions of an EHR alert triggered when a provider attempted to sign a discharge free-text prescription. The visible version displayed an interruptive alert to the user, and a silent version triggered in the background, serving as a control. Providers were assigned to the visible and silent arms based on even/odd EHR provider IDs. The proportion of encounters with a free-text prescription was calculated across the groups. Alert trigger rates were compared in process control charts. Free-text prescriptions were analyzed to identify prescribing patterns.

RESULTS

Over the 28-week study period, 143 providers triggered 695 alerts (345 visible and 350 silent). The proportions of encounters with free-text prescriptions were 83% (266/320) and 90% (273/303) in the intervention and control groups, respectively (p = 0.01). For the active alert, median time to action was 31 seconds. Alert trigger rates between groups were similar over time. Ibuprofen, oxycodone, steroid tapers, and oncology-related prescriptions accounted for most free-text prescriptions. A majority of these prescriptions originated from user preference lists.

CONCLUSION

An interruptive alert was associated with a modest reduction in free-text prescriptions. Furthermore, the majority of these prescriptions could have been reproduced using structured order entry fields. Targeting user preference lists shows promise for future intervention.

Medication Rounds: A Tool to Promote Medication Safety for Children with Medical Complexity

Children with medical complexity (CMC) often have lengthy medication lists and are at risk of experiencing suboptimal medication management. This tool tutorial describes a novel and pragmatic strategy for the development and implementation of medication rounds, a model that promotes medication safety for hospitalized CMC. An interprofessional group designed and implemented a pharmacy-led medication rounding care model, in which clinicians and pharmacists partner weekly to conduct reviews of all patient medications on a general pediatrics CMC team using a comprehensive checklist. This approach fosters medication safety for hospitalized CMC and could be adapted to other complex inpatient populations.

Factors to predict the knowledge, attitude and practice of nursing interruptions among nurses: A nationwide cross-sectional survey

AIM

To identify the knowledge, attitude and practice of nursing interruptions and related factors among nurses in China.

BACKGROUND

Nursing interruptions are extremely common and have introduced major security risks and harm to hospitalized patients. However, nursing interruptions' factors are not well known.

DESIGN

A nationwide cross-sectional descriptive survey.

METHODS

A multistratified random sampling method was used to obtain nurses from five provinces in China. We collected data by online questionnaires (the Knowledge, Attitude and Practice Questionnaire of Nursing Interruptions, the Chinese Revised Safety Attitude Questionnaire and the Coping Adaptation Processing Scale). We used the Mann-Whitney test, the Kruskal-Wallis test, Spearman's linear correlation analysis and multiple linear stepwise regression to analyze the data. A STROBE checklist was used to report the results.

RESULTS

Of the 14500 questionnaires distributed, 14302 (98.6 %) were returned. The mean score was 79.69 (SD 17.73) and the level was medium. Having attended nursing interruptions training and attended nursing safety training, safety attitude, coping ability and position were positive factors, while age and marital status were negative factors (F=1068.226, p < 0.001, R² =0.374, adjusted R² =0.373).

CONCLUSIONS

Chinese nurses expressed a moderate level of knowledge, attitude and practice of nursing interruptions. Safety attitude, having attended nursing interruptions training, coping ability, having attended nursing safety training, position, age and marital status were predictors.

RELEVANCE TO CLINICAL PRACTICE

Nursing managers should pay attention to the influencing factors of clinical nurses' knowledge, attitude and practice of nursing interruptions and take effective individualized training for clinical nurses with different ages, positions and marital status to improve their coping ability, so as to ensure nursing safety and improve nursing quality.

Liver enzymes after short-term acetaminophen error in critically ill children: a cohort study

Drug-associated harm is common but difficult to detect in the hospital setting. In critically ill children, we sought to evaluate drug-associated hepatic injury following enteral acetaminophen error, defined as acetaminophen dosing that exceeds daily maximum recommendations. This retrospective cohort study took place in two pediatric intensive care units within a pediatric hospital center. The included patients are children (< 18 years of age) admitted to the pediatric and cardiac intensive care unit between January 2008 and January 2018, and receiving enteral acetaminophen. We defined acetaminophen dosing error as exceeding daily acetaminophen dosing by > 10% the upper limit of maximum recommended dose for weight and age (> 82.5 mg/kg/day or > 4400 mg/day). We included 14,146 admissions, who received 147,485 doses of acetaminophen. Acetaminophen dosing errors occurred 1 in every 9.5 patient-days on acetaminophen. ALT and AST decreased significantly over the course of ICU admission (p < 0.0001). In patients with acetaminophen errors, ALT and AST measured in the 24 to 96 h post error were not significantly different than when measured outside this window. A sensitivity analysis using > 100 mg/kg/day as the upper daily acetaminophen error cut-off did not reveal any subsequent significant increase in ALT or ALT in the 24 to 96-h post-error window, compared to measurements taken outside the window.

CONCLUSION

Although the administration of acetaminophen in critically ill children frequently exceeds the daily recommended limit and vigilance is needed, we did not find any associated increase in liver transaminases following acetaminophen errors.

WHAT IS KNOWN

• Acetaminophen dosing errors are common in pediatric outpatients. • Excessive acetaminophen dosing can be associated with harm, including hepatic injury.

WHAT IS NEW

• Exceeding daily acetaminophen dosing limit occurs 1 in every 9.5 patient-days in children admitted to the critical care unit. • In patients with daily dose excess of acetaminophen, we did not find a significant increase in the measured liver enzymes in the 24 to 96 h following the overdosing.

Clinical Decision Support Stewardship: Best Practices and Techniques to Monitor and Improve Interruptive Alerts

Interruptive clinical decision support systems, both within and outside of electronic health records, are a resource that should be used sparingly and monitored closely. Excessive use of interruptive alerting can quickly lead to alert fatigue and decreased effectiveness and ignoring of alerts. In this review, we discuss the evidence for effective alert stewardship as well as practices and methods we have found useful to assess interruptive alert burden, reduce excessive firings, optimize alert effectiveness, and establish quality governance at our institutions. We also discuss the importance of a holistic view of the alerting ecosystem beyond the electronic health record.

Reducing Near Miss Medication Events Using an Evidence-Based Approach

BACKGROUND

Near miss medication events are pervasive without patient harm, mostly because of coincidence. Dynamic clinical environments challenge nurse compliance with medication administration rights and proper use of electronic technology.

PROBLEM

All nurses are educated in appropriate medication management, but our unit's barcoded medication administration scanning and electronic patient identification practices fell below the 97% benchmarks, representing hundreds of near miss medication events each month.

APPROACH

Transformative leadership guided frontline staff to identify gaps in care processes and determined root causes for unsanctioned medication administration practices using a FOCUS (Find-Organize-Clarify-Understand-Select)-PDSA (Plan-Do-Study-Act) methodology.

OUTCOMES

An interdisciplinary team committed to zero events of preventable harm overcame challenges to improve care delivery. Medication management scores exceeded organizational benchmarks, with sustainable gains over 2 years.

CONCLUSIONS

A rapid-cycle, evidence-based approach engaged staff to reduce near miss medication events. Workable solutions driven by transparent communication and interpersonal collaboration influenced positive safety behaviors.

Alert burden in pediatric hospitals: a cross-sectional analysis of six academic pediatric health systems using novel metrics

BACKGROUND

Excessive electronic health record (EHR) alerts reduce the salience of actionable alerts. Little is known about the frequency of interruptive alerts across health systems and how the choice of metric affects which users appear to have the highest alert burden.

OBJECTIVE

(1) Analyze alert burden by alert type, care setting, provider type, and individual provider across 6 pediatric health systems. (2) Compare alert burden using different metrics.

MATERIALS AND METHODS

We analyzed interruptive alert firings logged in EHR databases at 6 pediatric health systems from 2016-2019 using 4 metrics: (1) alerts per patient encounter, (2) alerts per inpatient-day, (3) alerts per 100 orders, and (4) alerts per unique clinician days (calendar days with at least 1 EHR log in the system). We assessed intra- and interinstitutional variation and how alert burden rankings differed based on the chosen metric.

RESULTS

Alert burden varied widely across institutions, ranging from 0.06 to 0.76 firings per encounter, 0.22 to 1.06 firings per inpatient-day, 0.98 to 17.42 per 100 orders, and 0.08 to 3.34 firings per clinician day logged in the EHR. Custom alerts accounted for the greatest burden at all 6 sites. The rank order of institutions by alert burden was similar regardless of which alert burden metric was chosen. Within institutions, the alert burden metric choice substantially affected which provider types and care settings appeared to experience the highest alert burden.

CONCLUSION

Estimates of the clinical areas with highest alert burden varied substantially by institution and based on the metric used.

Physiologic Monitor Alarm Burden and Nurses' Subjective Workload in a Children's Hospital

BACKGROUND AND OBJECTIVES

Physiologic monitor alarms occur at high rates in children's hospitals; ≤1% are actionable. The burden of alarms has implications for patient safety and is challenging to measure directly. Nurse workload, measured by using a version of the National Aeronautics and Space Administration Task Load Index (NASA-TLX) validated among nurses, is a useful indicator of work burden that has been associated with patient outcomes. A recent study revealed that 5-point increases in the NASA-TLX score were associated with a 22% increased risk in missed nursing care. Our objective was to measure the relationship between alarm count and nurse workload by using the NASA-TLX.

METHODS

We conducted a repeated cross-sectional study of pediatric nurses in a tertiary care children's hospital to measure the association between NASA-TLX workload evaluations (using the nurse-validated scale) and alarm count in the 2 hours preceding NASA-TLX administration. Using a multivariable mixed-effects regression accounting for nurse-level clustering, we modeled the adjusted association of alarm count with workload.

RESULTS

The NASA-TLX score was assessed in 26 nurses during 394 nursing shifts over a 2-month period. In adjusted regression models, experiencing >40 alarms in the preceding 2 hours was associated with a 5.5 point increase (95% confidence interval 5.2 to 5.7; P < .001) in subjective workload.

CONCLUSION

Alarm count in the preceding 2 hours is associated with a significant increase in subjective nurse workload that exceeds the threshold associated with increased risk of missed nursing care and potential patient harm.

Therapeutic Pitfalls in the Transition of Neurologic Patients from Pediatric to Adult Health Care Providers

Transitions of care from the pediatric to adult setting are fraught with difficulty. For patients whose neurologic problems began in childhood, there is often a lack of organized multidisciplinary care with the desired neurologic expertise in the adult setting. This monograph highlights those difficulties, reviewing disease-specific instances of the problems with transition from pediatric to adult neurologic care. The use of an arbitrary chronologic age cutoff for transition from pediatric to adult expertise in specific disease state may be a disservice in provision of care, and the disease-specific expertise of providers may outweigh the benefit of an age-related provider focus.

Nurses' Perceived Causes of Medication Administration Errors: A Qualitative Systematic Review

BACKGROUND

Medication administration errors (MAEs) are a critical patient safety issue. Nurses are often responsible for administering medication to patients, thus their perceptions of causes of errors can provide valuable guidance for the development of interventions aimed to mitigate errors. Quantitative research can overlook less overt causes; therefore, a qualitative systematic review was conducted to present a synthesis of qualitative evidence of nurses' perceived causes of MAEs.

METHODS

Publications from 2000 to February 2019 were searched using four electronic databases. Inclusion criteria were articles that (1) presented results from studies that used a qualitative or mixed methods design, (2) reported qualitative data on nurses' perceived causes of MAEs in health care settings, and (3) were published in the English language. Sixteen individual articles satisfied the inclusion criteria. Methodological quality of each article was assessed using the Critical Appraisal Skills Programme (CASP) tool. Thematic analysis of the data was performed. Perceived causes of errors were labeled as knowledge-based, personal, and contextual factors.

RESULTS

The primary knowledge-based factor was lack of medication knowledge. Personal factors included fatigue and complacency. Contextual factors included heavy workloads and interruptions. Contextual factors were reported in all the studies reviewed and were often interconnected with personal and knowledge-based factors.

CONCLUSION

Causes of MAEs are perceived by nurses to be multifactorial and interconnected and often stem from systems issues. Multifactorial interventions aimed at mitigating medication errors are required with an emphasis on systems changes. Findings in this review can be used to guide efforts aimed at identifying and modifying factors contributing to MAEs.