Preventability of Voluntarily Reported or Trigger Tool-Identified Medication Errors in a Pediatric Institution by Information Technology: A Retrospective Cohort Study

Reimagining the ADR Alert Card: a novel approach to recurrence prevention in low-cost settings for adverse drug reactions

OBJECTIVES

Adverse drug reactions (ADRs) are among the leading standalone causes of morbidity and hospitalisation and contribute substantially to an increase in healthcare expenditure. Repeat ADR events, although difficult to quantify, are a recognised problem that lead to preventable suffering for the patient. The current approaches for the prevention of ADR recurrence in low/middle-income countries range from inefficient to non-existent. There is very little literature that focuses on the preventability of ADRs in such settings. This study aimed to develop the ADR Alert Card, an economical innovation designed as a stop gap in preventing ADR recurrence, and to evaluate its utility by validating the system through input from medical professionals.

METHODS

The ADR Alert Card was validated and registered with the Copyrights Office of the Government of India. To obtain the opinion of healthcare professionals and gauge the status quo in prevention of ADR recurrence, we conducted an online descriptive cross-sectional study over a period of 6 months.

RESULTS

The survey received 218 responses. Demographics varied, ranging across different healthcare specialties and years of experience. Our study found that existing practice in ADR recurrence prevention was inadequate, and most healthcare workers were unaware of an alternative approach. Unique solutions were provided by the respondents, with the majority favouring a card format for preventing recurrence.

CONCLUSIONS

After being introduced to the ADR Alert Card, there was an overwhelming consensus on the utility and practicality of this card in preventing ADR recurrence.

Measurement of Ambulatory Medication Errors in Children: A Scoping Review

BACKGROUND AND OBJECTIVES

Children use most medications in the ambulatory setting where errors are infrequently intercepted. There is currently no established measure set for ambulatory pediatric medication errors. We have sought to identify the range of existing measures of ambulatory pediatric medication errors, describe the data sources for error measurement, and describe their reliability.

METHODS

We performed a scoping review of the literature published since 1986 using PubMed, CINAHL, PsycINFO, Web of Science, Embase, and Cochrane and of grey literature. Studies were included if they measured ambulatory, including home, medication errors in children 0 to 26 years. Measures were grouped by phase of the medication use pathway and thematically by measure type.

RESULTS

We included 138 published studies and 4 studies from the grey literature and identified 21 measures of medication errors along the medication use pathway. Most measures addressed errors in medication prescribing (n = 6), and administration at home (n = 4), often using prescription-level data and observation, respectively. Measures assessing errors at multiple phases of the medication use pathway (n = 3) frequently used error reporting databases and prospective measurement through direct in-home observation. We identified few measures of dispensing and monitoring errors. Only 31 studies used measurement methods that included an assessment of reliability.

CONCLUSIONS

Although most available, reliable measures are too resource and time-intensive to assess errors at the health system or population level, we were able to identify some measures that may be adopted for continuous measurement and quality improvement.

Improvement in Pharmacy Student Responses to Medication-Related Problems with and without Clinical Decision Support Alerts

OBJECTIVE

To assess pharmacy student responses to medication problems with and without clinical decision support (CDS) alerts during simulated order verification.

METHODS

Three classes of students completed an order verification simulation. The simulation randomized students to a different series of 10 orders with varying CDS alert frequency. Two of the orders contained medication-related problems. The appropriateness of the students' interventions and responses to the CDS alerts were evaluated. In the following semester for 2 classes, 2 similar simulations were completed. All 3 simulations contained 1 problem with and 1 without an alert.

RESULTS

During the first simulation, 384 students reviewed an order with a problem and an alert. Students exposed to prior inappropriate alerts within the simulation had less appropriate responses (66% vs 75%). Of 321 students who viewed a second order with a problem, those reviewing an order lacking an alert recommended an appropriate change less often (45% vs 87%). Among 351 students completing the second simulation, those who participated in the first simulation appropriately responded to the alert for a problem more often than those who only received a didactic debrief (95% vs 87%). Among those completing all 3 simulations, appropriate responses increased between simulations for problems with (n = 238, 72-95-93%) and without alerts (n = 49, 53-71-90%).

CONCLUSIONS

Some pharmacy students displayed baseline alert fatigue and overreliance on CDS alerts for medication problem detection during order verification simulations. Exposure to the simulations improved CDS alert response appropriateness and detection of problems.

A Scoping Review of Integrated Medical Devices and Clinical Decision Support in the Acute Care Setting

BACKGROUND

Seamless data integration between point-of-care medical devices and the electronic health record (EHR) can be central to clinical decision support systems (CDSS).

OBJECTIVE

The objective of this scoping review is to (1) examine the existing evidence related to integrated medical devices, primarily medication pump devices, and associated clinical decision support (CDS) in acute care settings and (2) to identify how acute care clinicians may use device CDS in clinical decision-making. The rationale for this review is that integrated devices are ubiquitous in the acute care setting, and they generate data that may help to contribute to the situational awareness of the clinical team necessary to provide individualized patient care.

METHODS

This scoping review was conducted using the Joanna Briggs Institute Manual for Evidence Synthesis and the Preferred Reporting Items for Systematic Reviews and Meta-analyses Extensions for Scoping Review guidelines. PubMed, CINAHL, IEEE Xplore, and Scopus databases were searched for scholarly, peer-reviewed journals indexed between January 1, 2010 and December 31, 2020. A priori inclusion criteria were established.

RESULTS

Of the 1,924 articles screened, 18 were ultimately included for synthesis, and primarily included articles on devices such as intravenous medication pumps and vital signs machines. Clinical alarm burden was mentioned in most of the articles, and despite not including the term "medication" there were many articles about smart pumps being integrated with the EHR. The Revised Technology, Nursing & Patient Safety Conceptual Model provided the organizational framework. Ten articles described patient assessment, monitoring, or surveillance use. Three articles described patient protection from harm. Four articles described direct care use scenarios, all of which described insulin administration. One article described a hybrid situation of patient communication and monitoring. Most of the articles described devices and decision support primarily used by registered nurses (RNs).

CONCLUSION

The articles in this review discussed devices and the associated CDSS that are used by clinicians, primarily RNs, in the daily provision of care for patients. Integrated device data provide insight into user-device interactions and help to illustrate health care processes, especially the activities when providing direct care to patients in an acute care setting. While there are CDSS designed to support the clinician while working with devices, RNs and providers may disregard this guidance, and defer to their own expertise. Additionally, if clinicians perceive CDSS as intrusive, they are at risk for alarm and alert fatigue if CDSS are not tailored to sync with the workflow of the end-user. Areas for future research include refining inclusion criteria to examine the evidence for devices and their CDS that are most likely used by other groups' health care professionals (i.e., doctors and therapists), using integrated device metadata and deep learning analytics to identify patterns in care delivery, and decision support tools for patients using their own personal data.

Evaluation of Medication Incidents in a Long-term Care Facility Using Electronic Medication Administration Records and Barcode Technology

Objective To describe the frequency, type, and severity of reported medication incidents that occurred at a long-term care facility (LTCF) despite electronic medication administration record and barcode-assisted medication administration (eMAR-BCMA) use. The study also contains analysis for the contribution of staff workarounds to reported medication administration errors (MAEs) using an established typology for BCMA workarounds, characterize if the eMAR-BCMA technology contributed to MAEs, and explore characteristics influencing incident severity. Design Retrospective incident report review. Setting A 239-bed LTCF in Alberta, Canada, that implemented eMAR-BCMA in 2013. Participants 270 paper-based, medication incident reports submitted voluntarily between June 2015 and October 2017. Interventions None. Results Most of the 264 resident-specific medication incidents occurred during the administration (71.9%, 190/264) or dispensing (28.4%, 75/264) phases, and 2.3% (6/264) resulted in temporary harm. Medication omission (43.7%, 83/190) and incorrect time (22.6%, 43/190) were the most common type of MAE. Workarounds occurred in 41.1% (78/190) of MAEs, most commonly documenting administration before the medication was administered (44.9%, 35/78). Of the non-workaround MAEs, 52.7% (59/112) were notassociated with the eMAR-BCMA technology, while 26.8% (30/112) involved system design shortcomings, most notably lack of a requirement to scan each medication pouch during administration. MAEs involving workarounds were less likely to reach the resident (74.4 vs 88.8%; relative risk = 0.84, 95% CI 0.72-0.97). Conclusion Administration and dispensing errors were the most reported medication incidents. eMAR-BCMA workarounds, and design shortcomings were involved in a large proportion of reported MAEs. Attention to optimal eMAR-BCMA use and design are required to facilitate medication safety in LTCFs.

Workload as the most Important Influencing Factor of Medication Errors by Nurses

Background:

This research is motivated by the fact that medication errors are serious threats to the safety of patients in hospitals. Nurses are one of the health workers who play a significant role in preventing these errors.

Objective:

The aim of this quantitative research is to determine the factors that influence the incidence of medication errors by nurses.

Methods:

The adopted method had a correlative descriptive design and used samples obtained from 164 nurses through a purposive sampling technique. The sample inclusion criteria were the nurses who worked in patient’s rooms, those who were healthy and not sick, not currently in school, and were willing to be respondents. Furthermore, the research instruments were questionnaires, which were developed through the Cronbach's alpha validity and reliability test results of 0.681 and 0.873, respectively. Analysis was conducted using the independent t test, X2 (chi-square) and multiple logistic regressions.

Results:

The results showed that the factors which influenced the incidence of medication errors were work experience, motivation, workload, managerial and environmental elements. Moreover, the variable which contributed the most, with a p-value of 0.004 and OR of 5.387 was workload.

Conclusion:

Finally, the following factors, including nurse's workload, motivation, work experience, good managerial management and environmental elements, should be considered when preventing medication errors.

A Culture Change: Impact of a Pediatric Antimicrobial Stewardship Program Based on Guideline Implementation and Prospective Audit with Feedback

Reports analyzing the impact of pediatric antimicrobial stewardship programs (ASP) over long periods of time are lacking. We thus report our ASP experience in a pediatric tertiary referral center over a long-term period from 2011 to 2018. Our ASP was implemented in 2011. The program was based primarily on guideline development with key stakeholders, engaging and educating providers, followed by prospective audit with feedback (PAF). Monitored antibiotics included meropenem, piperacillin–tazobactam, and cefepime, followed by the addition of ceftriaxone, ceftazidime, cefotaxime, ciprofloxacin, levofloxacin, linezolid, and vancomycin at various time points. Specifically, the program did not implemented the core strategy of formulary restriction with prior authorization. Process- and outcome-related ASP measures were analyzed. We saw a 32% decrease in overall antibiotic utilization, a 51% decrease in the utilization of antibiotics undergoing PAF, and a 72% reduction in the use of broad-spectrum antibiotics such as meropenem. There was a concomitant increase in organism susceptibility and a reduction in yearly drug purchasing costs of over USD 560,000 from baseline without changes in sepsis-related mortality. Our study highlights that a pediatric ASP based primarily on the principles of guideline development and PAF can improve antibiotic utilization and institutional bacterial susceptibilities without a detrimental impact on patient outcomes by changing the culture of antimicrobial utilization within the institution.

Investigation of the characteristics of medication errors and adverse drug reactions using pharmacovigilance data in China

The aim of this study was to investigate the characteristics of medication errors (MEs) and adverse drug reactions (ADRs) using data from the spontaneous reporting system, which is helpful to understand the actual situation of MEs in China. Data from 2015 in a south distinct in Shanghai were gathered from the spontaneous reporting system and analyzed. The general information, cause of errors, severity, primary diseases, involved system and organs, symptoms, and suspected drugs were investigated. A total of 1290 adverse drug events (ADEs), including 1079 ADRs and 211 MEcs (MEs causing ADE), were reported. Older patients suffered from both ADRs and MEcs (age distribution and dosage form were different between ADRs and MEcs). The main causes of errors were inappropriate usage and dosage of drugs and inappropriate indication selection. Most ADR and MEc cases were mild; the possibility of developing a severe adverse event was quite low. The distribution of the top 10 system and organs, and symptoms involved was significantly different between ADRs and MEcs, with J01 drugs (antibacterials for systemic use) being the leading cause in both. Our results suggested that a direct analysis of data from the spontaneous reporting system is a reliable, and convenient method to investigate MEs and ADRs, despite the existing limitations, and contributes to further understanding the current situation of MEs and ADRs in China.

Key Issues in the Development of an Evidence-Based Stratified Surgical Patient Safety Improvement Information System: Experience From a Multicenter Surgical Safety Program

Surgery is still far from being completely safe and reliable. Surgical safety has, therefore, been the focus of considerable attention over the last few decades, and there are a growing number of national drives to improve it. There are also a number of large surgical complication reporting systems and system-based interventions, both of which have made remarkable progress in the past two decades. These systems, however, have either mainly focused on reporting complications and played a limited role in guiding practice or have provided nonselective interventions to all patients, perhaps imposing unnecessary burdens on frontline medical staff. We have, therefore, developed an evidence-based stratified surgical safety information system based on a multicenter surgical safety improvement program. This study discusses some critical issues in the process of developing this information system, including (1) decisions about data gathering, (2) establishing and sharing knowledge, (3) developing functions for the system, (4) system implementation, and (5) evaluation and continuous improvement. Using examples drawn from the surgical safety improvement program, we have shown how this type of system can be fitted into day-to-day clinical practice and how it can guide medical practice by incorporating inherent patient-related risk and providing tailored interventions for patients with different levels of risk. We concluded that multidisciplinary collaboration, involving experts in health care (including senior staff in surgery, nursing, and anesthesia), data science, health care management, and health information technology, can help build an evidence-based stratified surgical patient safety improvement system. This can provide an information-intensified surgical safety learning platform and, therefore, benefit surgical patients by delivering tailored interventions and an integrated workflow.

Assessment of Different Methods for Pediatric Meningitis Dosing Clinical Decision Support

Background: Indication-specific medication dosing support is needed to improve pediatric dosing support. Objective: To compare the sensitivity and positive predictive value (PPV) of different meningitis dosing alert triggers and dosing error rates between antimicrobials with and without meningitis order sentences. Methods: We retrospectively analyzed 4-months of pediatric orders for antimicrobials with meningitis-specific dosing. At the time of the order, it was determined if the antimicrobial was for meningitis management, if a cerebrospinal fluid (CSF) culture was ordered, and if a natural language processing (NLP) system could detect “meningitis” in clinical notes. Results: Of 1383 orders, 243 were for the management of meningitis. A CSF culture or NLP combination trigger searching the electronic health record since admission yielded the greatest sensitivity for detecting meningitis management (67.5%, P < 0.01 vs others), but dosing error detection was similar if the trigger only searched 48 hours preceding the order (68.8% vs 62.5%, P = 0.125). Using a CSF culture alone and a 48-hour time frame had a higher PPV versus a combination with a 48-hour time frame (97.1% vs 80.9%, P < 0.001), and both triggers had a higher PPV than others ( P < 0.001). Antimicrobials with meningitis order sentences had fewer dosing errors (19.8% vs 43.2%, P < 0.01). Conclusion and Relevance: A meningitis dosing alert triggered by a combination of a CSF culture or NLP system and a 48-hour triggering time frame could provide reasonable sensitivity and PPV for meningitis dosing errors. Order sentences with indication-specific recommendations may provide additional dosing support, but additional studies are needed.

Effect of a voice recognition system on pediatric outpatient medication errors at a tertiary healthcare facility in Kenya

Background

Medication-related errors account for one out of every 131 outpatient deaths, and one out of 854 inpatient deaths. The risk is threefold greater in the pediatric population. In sub-Saharan Africa, research on medication-related errors has been obscured by other health priorities and poor recognition of harm attributable to such errors.Our primary objective was to assess the effect of introduction of a voice recognition system (VRS) on the prevalence of medication errors. The secondary objective was to describe characteristics of observed medication errors and determine acceptability of VRS by clinical service providers.

Methods

This was a before-after intervention study carried out in a Pediatric Accident and Emergency Department of a private not-for-profit tertiary referral hospital in Kenya.

Results

A total of 1196 handwritten prescription records were examined in the pre-VRS phase and 501 in the VRS phase. In the pre-VRS phase, 74.3% of the prescriptions (889 of 1196) had identifiable errors compared with 65.7% in the VRS phase (329 of 501).More than half (58%) of participating clinical service providers expressed preference for VRS prescriptions compared with handwritten prescriptions.

Conclusions

VRS reduces medication prescription errors with the greatest effect noted in reduction of incorrect medication dosages. More studies are needed to explore whether more training, user experience and software enhancement would minimize medication errors further. VRS technology is acceptable to physicians and pharmacists at a tertiary care hospital in Kenya.

An Investigation of Drug-Drug Interaction Alert Overrides at a Pediatric Hospital

OBJECTIVES

Drug-drug interactions (DDIs) can result in patient harm. DDI alerts are intended to help prevent harm; when the majority of alerts presented to providers are being overridden, their value is diminished. Our objective was to evaluate the overall rates of DDI alert overrides and how rates varied by specialty, clinician type, and patient complexity.

METHODS

A retrospective study of DDI alert overrides that occurred during 2012 and 2013 within the inpatient setting described at the medication-, hospital-, provider-, and patient encounter-specific levels was performed at an urban, quaternary-care, pediatric hospital.

RESULTS

There were >41 000 DDI alerts presented to clinicians; ∼90% were overridden. The 5 DDI pairs that were most frequently presented and overridden included the following: potassium chloride-spironolactone, methadone-ondansetron, ketorolac-ibuprofen, cyclosporine-fluconazole, and potassium chloride-enalapril, each with an alert override rate of ≥0.89. Override rates across provider groups ranged between 0.84 and 0.97. In general, patients with high complexity had a higher frequency of alert overrides, but the rates of alert overrides for each DDI pairing did not differ significantly.

CONCLUSIONS

High rates of DDI alert overrides occur across medications, provider groups, and patient encounters. Methods to decrease DDI alerts which are likely to be overridden exist, but it is also clear that more robust and intelligent tools are needed. Characteristics exist at the medication, hospital, provider, and patient levels that can be used to help specialize and enhance information transmission.

Data Requirements for the Correct Identification of Medication Errors and Adverse Drug Events in Patients Presenting at an Emergency Department

BACKGROUND

Adverse drug events (ADE) involving or not involving medication errors (ME) are common, but frequently remain undetected as such. Presently, the majority of available clinical decision support systems (CDSS) relies mostly on coded medication data for the generation of drug alerts. It was the aim of our study to identify the key types of data required for the adequate detection and classification of adverse drug events (ADE) and medication errors (ME) in patients presenting at an emergency department (ED).

METHODS

As part of a prospective study, ADE and ME were identified in 1510 patients presenting at the ED of an university teaching hospital by an interdisciplinary panel of specialists in emergency medicine, clinical pharmacology and pharmacy. For each ADE and ME the required different clinical data sources (i.e. information items such as acute clinical symptoms, underlying diseases, laboratory values or ECG) for the detection and correct classification were evaluated.

RESULTS

Of all 739 ADE identified 387 (52.4%), 298 (40.3%), 54 (7.3%), respectively, required one, two, or three, more information items to be detected and correctly classified. Only 68 (10.2%) of the ME were simple drug-drug interactions that could be identified based on medication data alone while 381 (57.5%), 181 (27.3%) and 33 (5.0%) of the ME required one, two or three additional information items, respectively, for detection and clinical classification.

CONCLUSIONS

Only 10% of all ME observed in emergency patients could be identified on the basis of medication data alone. Focusing electronic decisions support on more easily available drug data alone may lead to an under-detection of clinically relevant ADE and ME.

EHR-related medication errors in two ICUs

The objective of this study was to describe the frequency, potential harm, and nature of electronic health record (EHR)-related medication errors in intensive care units (ICUs). Using a secondary data analysis of a large database of medication safety events collected in a study on EHR technology in ICUs, we assessed the EHR relatedness of a total of 1622 potential preventable adverse drug events (ADEs) identified in a sample of 624 patients in 2 ICUs of a medical center. Thirty-four percent of the medication events were found to be EHR related. The EHR-related medication events had greater potential for more serious patient harm and occurred more frequently at the ordering stage as compared to non-EHR-related events. Examples of EHR-related events included orders with omitted information and duplicate orders. The list of EHR-related medication errors can be used by health care delivery organizations to monitor implementation and use of the technology and its impact on patient safety. Health information technology (IT) vendors can use the list to examine whether their technology can mitigate or reduce EHR-related medication errors.