Barcode Medication Administration Research Articles

Emergency Department Nurses Attitudes Toward Barcode Medication Administration

Abstract
 Background: Barcode medication administration (BCMA) has been widely implemented in the inpatient setting of hospitals throughout the United States, resulting in lower medication administration errors. Understanding nurses’ attitudes toward BCMA in the Emergency Department (ED) may assist administrators with creating implementation strategies that will improve medication administration process turnaround time and remove barriers to use ensuring increased compliance and improved patient safety.
 Methods: The aim of this descriptive research study was to identify Emergency Department nurses’ attitudes towards acceptance of this technology, based on the Unified Theory of Acceptance and Use of Technology (UTAUT). Data collection was carried out using an online, cross-sectional survey of nurses (n=55) who were members of the National Emergency Nurses Association of Canada.
 Results: The results demonstrated that two-thirds of those surveyed had approximately one year of experience with using BCMA technology. More positive attitudes were found in the following domains: behavioral intent, anxiety, and self-efficacy. Neutral attitudes were perceived regarding facilitating conditions, social influence, and effort expectancy. The most negative attitudes were expressed regarding attitude toward technology and performance expectancy.
 Conclusions: The results of this study allow us to conclude that the ED nurse perceived BCMA as easy to master and use and not intimidating or anxiety producing; however, they do not perceive it as useful nor do they perceive it to improve their proficiency or productivity. It is recommended that future studies be conducted on larger samples and also on participants that have had more experience using this technology.
 Keywords: Barcode Medication Administration, Emergency Department, Medication Administration, Attitudes.
 

Nurses' Compliance With Bar-code Medication Administration Technology

Medication administration using bar-code medication administration technology enhances the verification of medication administration rights. Nurses' compliance with bar-code medication administration procedure is essential to maximize the benefits. This study evaluated the current rate of nurses' compliance with bar-code medication administration use through direct observation. A descriptive design was used and 134 RNs were recruited from two public hospitals located in the middle region of Jordan. Compliance with bar-code medication administration was evaluated using an evidence-based checklist of 17 items. Participants' compliance with the bar-code medication administration was 55%, which had a significant positive correlation with their level of comfort using bar-code medication administration, usefulness, and ease of use, perceived job productivity, and overall rating of bar-code medication administration. Stakeholders can benefit from assessing end-user acceptance and perceptions regarding the bar-code medication administration technology to promote acceptance and compliance.

Implementing barcode medication administration and smart infusion pumps is just the beginning of the safety journey to prevent administration errors.

Healthcare-related technology has been widely acceptedas a key patient safety solution to reduce adverse drug events bydecreasing the risk of human error. The introduction of technology canenhance safety and support workflow; however, it does not eliminateall error types and may create new ones. Barcode medication administrationand smart infusion pumps are two technologies utilized duringmedication administration to prevent medication errors before they reachthe patient. This article reviewed different error types with barcode medicationadministration and smart infusion pumps and examined how theseerrors were able to occur while using the technology. Recommendationsfor preventing these types of errors were also discussed. Hospitals must understand the technology, how it is designedto work, which errors it is intended to prevent, as well as understandhow it will change staff workflow. It is essential that metrics are set byhospital leadership and regularly monitored to ensure optimal use of thesetechnologies. It is also important to identify and avoid workarounds whicheliminate or diminish the safety benefits that the technology was designedto achieve. Front line staff feedback should be gathered on a periodic basis to understand any struggles with utilizing the technology. Leaders must also understand that even with full implementation of technology, medication errors may still occur.

The influence of peer beliefs on nurses' use of new health information technology: A social network analysis.

Implementation of health information technology fails at an alarming rate because intended users often choose not to use it. Implementation theory and frameworks suggest that social networks may influence individuals' use, but empirical study remains limited. Furthermore, neither theory nor research has identified whose beliefs within the network matter most for implementation. We examine the relationship between an individual's system use and the beliefs of his or her peers. We assess the relationship for two peer groups: the entire group of peers and the subset that shares the individual's beliefs about the system. We used data collected from an academic hospital in the United States that had recently implemented a bar code medication administration system, a technology meant to increase medication safety. We administered a survey to nurses (N=207) in six clinical units approximately 3-5 months (April-June 2013) after the "go-live" of the system to identify peer groups and beliefs about system usefulness. We calculated mean peer belief for the entire peer group and sharedness of belief using a homophily measure. From the hospital's electronic health record system, we obtained nurses' system use during the 3-month data collection period. We used multivariable linear regression to examine relationships. We found no effect of mean peer beliefs on individual system use. However, sharedness of belief about usefulness was positively associated with individual system use. Individuals' own positive belief was only associated with greater system use when shared with peers. Our findings indicate a significant role of social networks in implementation, and specifically that shared beliefs between an individual and his or her peer network may be critical to implementation success, more so than the beliefs across the entire peer group. Reinforcement by the social network appears to dictate whether individuals' own beliefs translate into system use.

A systematic review of the impact of health information technology on nurses' time.

ObjectiveNursing time represents one of the highest costs for most health services. We conducted a systematic review of the literature on the impact of health information technology on nurses’ time.Materials and MethodsWe followed PRISMA guidelines and searched 6 large databases for relevant articles published between Jan 2004 and December 2019. Two authors reviewed the titles, abstracts, and full texts. We included articles that included a comparison group in the design, measured the time taken to carry out documentation or medication administration, documented the quantitative estimates of time differences between the 2, had nurses as subjects, and was conducted in either a care home, hospital, or community clinic.ResultsWe identified a total of 1647 articles, of which 33 met our inclusion criteria. Twenty-one studies reported the impact of 12 different health information technology (HIT) implementations on nurses’ documentation time. Weighted averages were calculated for studies that implemented barcode medication administration (BCMA) and 2 weighted averages for those that implemented EHRs, as these studies used different sampling units; both showed an increase in the time spent in documentation (+22% and +46%). However, the time spent carrying out medication administration following BCMA implementation fell by 33% (P < .05). HIT also caused a redistribution of nurses’ time which, in some cases, was spent in more “value-adding” activities, such as delivering direct patient care as well as inter-professional communication.Discussion and ConclusionsMost of the HIT systems increased nursing documentation time, although time fell for medication administration following BCMA. Many HIT systems also resulted in nurses spending more time in direct care and “value-adding” activities.

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

Incoming text messages and calls on nurses' mobile telephones may interrupt medication administration, but whether such interruptions are associated with errors has not been established. To assess whether a temporal association exists between mobile telephone interruptions and subsequent errors by pediatric intensive care unit (PICU) nurses during medication administration. A retrospective cohort study was performed using telecommunications and electronic health record data from a PICU in a children's hospital. Data were collected from August 1, 2016, through September 30, 2017. Participants included 257 nurses and the 3308 patients to whom they administered medications. Primary exposures were incoming telephone calls and text messages received on the institutional mobile telephone assigned to the nurse in the 10 minutes leading up to a medication administration attempt. Secondary exposures were the nurse's PICU experience, work shift (day vs night), nurse to patient ratio, and level of patient care required. Primary outcome, errors during medication administration, was a composite of reported medication administration errors and bar code medication administration error alerts generated when nurses attempted to give medications without active orders for the patient whose bar code they scanned. Participants included 257 nurses, of whom 168 (65.4%) had 6 months or more of PICU experience; and 3308 patients, of whom 1839 (55.6%) were male, 1539 (46.5%) were white, and 2880 (87.1%) were non-Hispanic. The overall rate of errors during 238 540 medication administration attempts was 3.1% (95% CI, 3.0%-3.3%) when nurses were uninterrupted by incoming telephone calls and 3.7% (95% CI, 3.4%-4.0%) when they were interrupted by such calls. During day shift, the odds ratios (ORs) for error when interrupted by calls (compared with uninterrupted) were 1.02 (95% CI, 0.92-1.13; P = .73) among nurses with 6 months or more of PICU experience and 1.22 (95% CI, 1.00-1.47; P = .046) among nurses with less than 6 months of experience. During night shift, the ORs for error when interrupted by calls were 1.35 (95% CI, 1.16-1.57; P < .001) among nurses with 6 months or more of PICU experience and 1.53 (95% CI, 1.16-2.03; P = .003) among nurses with less than 6 months of experience. Nurses administering medications to 1 or more patients receiving mechanical ventilation and arterial catheterization while caring for at least 1 other patient had an increased risk of error (OR, 1.21; 95% CI, 1.03-1.42; P = .02). Incoming text messages were not associated with error (OR, 0.97; 95% CI, 0.92-1.02; P = .22). This study's findings suggest that incoming telephone call interruptions may be temporally associated with medication administration errors among PICU nurses. Risk of error varied by shift, experience, nurse to patient ratio, and level of patient care required.

Translating Data From an Electronic Prescribing and Medicines Administration System Into Knowledge: Application to Doctor-Nurse Time Discrepancy in Antibiotic Ordering and Administration.

Electronic Prescribing and Medicines Administration (EPMA) systems are being widely implemented to facilitate medication safety improvement. However, translating the resulting big data into actionable knowledge has received relatively little attention. The objective of this study was to use routinely collected EPMA data in the study of exact time discrepancy between physicians' order and nurses' administration of systemic antibiotics. We evaluated first and follow-up dose administration and dose intervals and examined multifactorial determinants in ordering and administration explaining potential discrepancy. We conducted an observational study of electronic health records for all medical patient stays with antibiotic treatment from January to June 2018 (n=4392) in a large Belgian tertiary care hospital. Using an EPMA system with Barcode Medication Administration, we calculated time discrepancy between order and administration of first doses (n=6233), follow-up doses (n=87 960), and dose intervals. Multiple logistic regression analysis estimated the association between time discrepancy and various determinants in ordering and administration. Time discrepancy between physician order and nurse administration was <30 minutes for 48.7% of first doses and 61.7% of follow-up doses, with large variation across primary diagnoses. Greater dose intervals, oral versus intravenous administration, and order diversion from regular nurse administration rounds showed strongest association with less timely administration. EPMA systems show huge potential to generate actionable knowledge. Concerning antibiotic treatment, having physicians' orders coincide with regular nurse administration rounds whenever clinically appropriate, further taking contextual factors into account, could potentially improve antibiotic administration timeliness.

Automating Vancomycin Monitoring to Improve Patient Safety

Intravenous vancomycin is a frequently used antibiotic and a common cause of medication-related harm because of its narrow therapeutic range. Improving monitoring of drug levels with automation in the electronic health record (EHR) may decrease this harm. After examining the existing state of vancomycin ordering, administration, and monitoring, an automated process was created in the EHR that, on initiation of a new vancomycin order, automatically ordered a vancomycin trough level 30 minutes before the fourth dose. In addition, a nursing alert was integrated into the bar coding medication administration process that, if no trough level had been drawn by the time of the administration of the fourth dose, prompted the nurse to draw a trough level. Data from a three-month, post-implementation period was compared to data from a preceding three-month period. The frequency of trough levels drawn between the third and fourth dose increased from 58.6% to 75.8% (p < 0.01). However, the percentage of trough levels drawn within one hour of the fourth dose remained unchanged, possibly because nursing staff waited for the result of the level prior to administering the next dose of vancomycin. A minority of patients in both groups had trough levels that were in range (difference between groups, p = 0.46). Automation of vancomycin monitoring was associated with improvement in the frequency of monitoring and only delayed medication dosing by six minutes. Because vancomycin is high risk, this type of process should be broadly implemented, and outcomes should be assessed to identify unexpected outcomes and necessary further refinements.

Nurses' satisfaction with barcode medication-administration technology: Results of a cross-sectional study.

Medication administration is a critical task of nurses that, if not done appropriately, can lead to fatal errors. New technologies, including barcode medication administration, are intended to decrease medication errors and enhance verification of medication-administration rights. Therefore, in this study, we examined the effect of introducing barcode medication administration on nurses' satisfaction and identified correlates of nurses' satisfaction with barcode medication administration. A descriptive, cross-sectional design using self-reported questionnaires was utilized to recruit 207 nurses from three public hospitals. Participants reported being moderately satisfied with barcode medication administration, especially with its efficacy and safety aspects. Their satisfaction had a significant negative correlation with their age, nursing experience, and experience using barcode medication administration, and a significant positive correlation with barcode medication-administration training satisfaction, computer competence, comfort with using barcode medication administration, and perceived job productivity using barcode medication administration. This study provides important information about Jordanian nurses' satisfaction with barcode medication-administration technology and provides greater understanding of different clinical correlates to barcode medication-administration satisfaction. It is recommended that effective barcode medication-administration training and computer skills training be provided prior to establishing barcode medication administration in hospitals and that the safety features of barcode medication administration be integrated in clinical education and training.

Closed-Loop Medication System: Leveraging Technology to Elevate Safety.

Healthcare organizations have long been dependent on the vigilance of nurses to identify and intercept medication errors before they can adversely affect patients. New technologies have been implemented in an effort to reduce medication errors; however, few studies have evaluated the long-term effects of technology-based interventions in reducing medication errors. The aim of this study was to evaluate the effects of barcode medication administration (BCMA) and the closed-loop medication system (CLMS) interventions on medication errors and adverse drug event (ADE) rates. An autoregressive integrated moving average model for interrupted time series design was used to evaluate the impact of the BCMA and CLMS interventions on the monthly reported medication error and ADE rates at Humber River Hospital between September 2013 and August 2018. Descriptive statistics were generated to evaluate the types of error and their gravity. A total of 1,712 medication errors and ADEs were reported in the five-year study period. The results of the interrupted time series indicated that the introduction of the BCMA intervention was associated with a statistically significant gradual decrease in reported medication error and ADE rates at 0.002 percentage points per month (p = 0.003). The introduction of the CLMS intervention was associated with an immediate absolute decrease in reported medication error and ADE rates of 0.010% (p = 0.020). The findings from this study support the adoption of both BCMA and CLMS interventions to prevent medication errors. Staged implementation of CLMS allows time for learning and incorporating barcode scanning. Interprofessional and cross-functional collaboration is necessary to successfully integrate the requirements of each respective discipline and service in the CLMS.

Understanding Mental Health Nurses’ Perceptions of Barcode Medication Administration: A Qualitative Descriptive Study

Barcode medication administration (BCMA) technology has been challenging for mental health nurses to incorporate into their clinical practice despite the potentially positive benefits of using the technology for improving patient safety. A review of the literature identified a number of practices that nurses can use to improve adoption of the technology, however, these practices have been primarily used in non-mental health contexts. Therefore, the purpose of this study was to understand mental health nurses’ perceptions of practices identified from the literature to improve BCMA adoption in a mental health inpatient setting. Using a qualitative descriptive approach, ten (n = 10) interviews were conducted with direct care mental health nurses working at a mental health and addiction academic teaching hospital in Canada. Data analysis consisted of a conventional content analysis of the interview transcripts by two independent coders. The following five themes emerged from the transcripts: 1) safety, 2) clinical workflow, 3) education, 4) accountability, and 5) strategies. Sub-themes were also identified within the themes of safety and clinical workflow. Insights gleaned from this study warrant acknowledgement and consideration when implementing strategies to increase BCMA compliance within mental health contexts.

Impact of Bar-Code Medication Administration and Electronic Medication Administration Record System in Clinical Practice for an Effective Medication Administration Process

Clinical innovations are ideations resulting from collective experiences that enhance the “norm” and embrace an avenue for change with an invention. As such, collective data that were suggestive of increased medication errors that compromised patient safety initiated the exploration of methods that could reduce multifactorial human errors. The pursuit for an appropriate system followed with the discovery of barcode medication administration system (BCMA) and electronic medication administration system (e-MAR). Prior to the adoption of BCMA and e-MAR, it was crucial to assess the impact of the new medication administration system and the rate of medication administration errors recorded, specifically those that resulted in harm. The purpose of the study was to evaluate BCMA and e-MAR usage outcomes, clinical practices, policies, and processes impacting nurses administering medications in the clinical environment using BCMA and e-MAR system. Thus, an annotated literature review was conducted prior to the implementation of the innovation which analyzed various studies that elaborated on their study methods, data collection and analysis that deliberated on the advantages and disadvantages of barcode medication administration system. It is evident in the researched journals that increased compliance was observed with appropriate guidance, processes and policies in place. There was also a significant reduction in reported errors. The incorporation of barcode technology with electronic medication administration record (e-MAR) had greatly improved the efficiency of the BCMA system. BCMAs method was one of the proposed solutions to medication administration errors and to enhance patient safety measures. As such, the innovation could significantly reduce medication error resulting from intrinsic and extrinsic factors. This paper will further elaborate on the advantages and disadvantages of BCMA and e-MAR, the strategies assumed in the development of BCMA and e-MAR system and its implementation process by identifying and overcoming potential challenges that may arise.

Reducing Medication Administration Frequency in Veteran Community Living Centers

Background: A quality improvement initiative of the Veterans Health Administration (VHA) aims to reduce frequency of medication administration to Veterans per day. Medication administration practices in our community living center (CLC) units are similar to an acute care medical unit versus a home environment. The objective of this project was to reduce medication administration frequency in order to minimize the number of interruptions to both Veterans and nurses. Methods: A retrospective chart review was conducted for Veterans residing in a pilot CLC from January through March 2018. Electronic medical records and barcode medication administration (BCMA) logs were assessed. Data collected included demographic information and medication details (eg, drug name, frequency, administration time). Data were analyzed and pharmacist recommendations were documented into an Excel document, and then discussed with the pilot CLC unit medical provider in March 2018. The primary outcomes measured were the number and type of pharmacist recommendations, percent reduction in the average number of Veteran interruptions per day, and percent reduction in the average number of medication passes by nurse per day. Results: Thirty-one Veterans were identified with a range of 4 to 31 active prescription orders. Fifty-five pharmacist recommendations were made and 31 were implemented. The average number of Veteran interruptions per day was reduced by 13.9%. The average daily number of medication passes was reduced by 16.3%. Conclusion: Both Veteran interruptions and nurse workload decreased due to the implemented pharmacist recommendations. Pharmacists will continue medication consolidation on a monthly basis and spread this project to other CLC units.

Implementation of Bar-Code Medication Administration to Reduce Patient Harm.

ObjectiveTo assess the impact of implementing bar-code medication administration (BCMA) technology on the rate of medication administration errors in the inpatient setting, specifically those that affect the patient and result in harm.Patients and MethodsImplementation of the new technology began in September 2008 in a staged rollout of 4 or 5 units at a time in 11 separate waves. All corresponding medication administrations and voluntarily reported medication-related adverse events from March 1, 2007, through September 30, 2013, were included for analyses. Adherence to the use of BCMA technology and the number of adverse events were tracked and compared across the preimplementation period through follow-up. Actual errors, not potential errors, were included in the analysis.ResultsAfter the BCMA technology was introduced, reported medication administration errors decreased by 43.5%. More importantly, the rate of harmful medication errors decreased from 0.65 per 100,000 medications preintervention to 0.29 per 100,000 medications postintervention. This resulted in a 55.4% decrease in actual patient harm events. None of the errors at category E or higher was caused by BCMA factors.ConclusionConsistent use of BCMA technology improves patient safety by decreasing the number of patients harmed by medication administration errors.

Central Nervous System Medication Burden and Risk of Recurrent Serious Falls and Hip Fractures in Veterans Affairs Nursing Home Residents.

To examine the association between central nervous system (CNS) medication dosage burden and risk of serious falls, including hip fractures, in individuals with a history of a recent fall. Nested case-control study. Veterans Health Administration (VHA) Community Living Centers (CLCs). CLC residents aged 65 and older with a history of a fall or hip fracture in the year before a CLC admission between July 1, 2005, and June 30, 2009. Each case (n = 316) was matched to four controls (n = 1264) on age, sex, and length of stay. Outcomes were serious falls identified using International Classification of Diseases, Ninth Revision (ACD-9) or Current Procedural Terminology (CPT) E codes, diagnosis codes, or procedure codes associated with a VHA emergency department visit or hospitalization during the CLC stay. Bar code medication administration data were used to calculate CNS standardized daily doses (SDDs) for opioid and benzodiazepine receptor agonists, some antidepressants, antiepileptics, and antipsychotics received in the 6 days before the outcome date by dividing residents' actual CNS daily doses by the minimum effective geriatric daily doses and adding the results. Multivariable conditional logistic regression models were used to evaluate the association between total CNS medication dosage burden, categorized as 0, 1 to 2, and 3 or more SDDs, and the outcome of recurrent serious falls. More cases (44.3%) than controls (35.8%) received 3.0 or more CNS SDDs (p = .02). Risk of serious falls was greater in residents with 3.0 or more SDDs than in those with 0 (adjusted odds ratio (aOR)=1.49, 95% confidence interval (CI)=1.03-2.14). Those with 1.0 to 2.9 SDDs had a risk similar to that of those with 0 SDDs (aOR=1.03, 95%CI=0.72-1.48). Nursing home residents with a history of a fall or hip fracture receiving 3.0 or more CNS SDDs were more likely to have a recurrent serious fall than those taking no CNS medications. Interventions targeting this vulnerable population may help reduce serious falls. J Am Geriatr Soc 67:74-80, 2019.

Improving Bar Code Medication Administration Compliance in a Community Hospital Through a Nursing Leadership Initiative.

Achieving optimal compliance for bar code medication administration (BCMA) in mature medication use systems is challenging due to the iterative system refinements over time. A nursing leadership initiative increased BCMA compliance, measured as a composite across all hospital units, from 95% to 98%, discovering unanticipated benefits and unintended consequences in the process. The methodology used provides valuable insight into effective strategies for BCMA optimization with applicability for other, similar quality improvement initiatives.

Nurses' knowledge and deliberations crucial to Barcoded Medication Administration technology in a Dutch hospital: Discovering nurses' agency inside ruling.

This article shows how Barcoded Medication Administration technology institutionally organizes and rules the daily actions of nurses. Although it is widely assumed that Barcoded Medication Administration technology improves quality and safety by reducing the risk of human error, little research has been done on how this technology alters the work of nurses. Drawing on empirical and conceptual strategies of analysis, this qualitative study used certain tools of institutional ethnography to provide a view of how nurses negotiate Barcoded Medication Administration technology. The approach also uses elements from practice theory in order to discern how technology operates as a player on the field instead of being viewed as a 'mere' tool. A literature review preceded participant observation, whereby 17 nurses were followed and data on an orthopaedic ward were collected over a period of 9 months in 2011 and 2012. Barcoded Medication Administration technology relies on nurses' knowledge to mediate between the embedded logics of its design and the unpredictable needs of patients. Nurses negotiate their own professional logic of care in the form of moment-to-moment deliberations which subvert the ruling frame of the barcoded system and its objectified model of patient safety. The logic of Barcoded Medication Administration technology differs from the logic of nursing care, as this technology presumes medication distribution to be linear, even though nurses follow another line of actor-bound safety practices that we characterize as 'deliberations'.

Nurses' Experience With Health Information Technology: Longitudinal Qualitative Study.

BackgroundNurses are the largest group of health information technology (HIT) users. As such, nurses’ adaptations are critical for HIT implementation success. However, longitudinal approaches to understanding nurses’ perceptions of HIT remain underexplored. Previous studies of nurses’ perceptions demonstrate that the progress and timing for acceptance of and adaptation to HIT varies.ObjectiveThis study aimed to explore nurses’ experience regarding implementation of HIT over time.MethodsA phenomenological approach was used for this longitudinal qualitative study to explore nurses’ perceptions of HIT implementation over time, focusing on three time points (rounds) at 3, 9, and 18 months after implementation of electronic health records and bar code medication administration. The purposive sample was comprised of clinical nurses who worked on a medical-surgical unit in an academic center.ResultsMajor findings were categorized into 7 main themes with 54 subthemes. Nurses reported personal-level and organizational-level factors that facilitated HIT adaptation. We also generated network graphs to illustrate the occurrence of themes. Thematic interconnectivity differed due to nurses’ concerns and satisfaction at different time points. Equipment and workflow were the most frequent themes across all three rounds. Nurses were the most dissatisfied approximately 9 months after HIT implementation. Eighteen months after HIT implementation, nurses’ perceptions appeared more balanced.ConclusionsIt is recommended that organizations invest in equipment (ie, wireless barcode scanners), refine policies to reflect nursing practice, and improve systems to focus on patient safety. Future research is necessary to confirm patterns of nurses’ adaptation to HIT in other samples.

Data Model for Initiatives to Monitor Exposure to Antimicrobials (DataMIME)

ObjectivePlan, develop, and pilot an open source system that could be integrated into the PCORnet (PCORI) and Sentinel (FDA) national common data models (CDMs) to generate antimicrobial use (AU) reports submittable to CDC’s National Healthcare Safety Network (NHSN). The system included ancillary tables, and data quality and report generation queries. The DataMIME system will allow hospitals to generate comparable AU reports for hospital inpatients.IntroductionDespite decades of attempts to promote judicious AU, the US has high rates of per-person antimicrobial consumption, and extremely high rates of carbapenem use1. Such profligate use is a key factor in the high rate of antimicrobial-resistant infections seen in US healthcare facilities2. Antimicrobial stewardship (AS) programs have been identified as a critical component of intervention strategies3. A core component of AS programs is tracking AU, which is needed to monitor trends in use, focus interventions on aberrant behaviors, promote judicious use, and evaluate the effectiveness of interventions. A system designed to extend two national data models would provide a scalable platform for rapid adoption of AU reporting.MethodsVirtual meetings were held with all participating sites (five hospitals in IL, LA, and TN) to develop the ancillary tables to capture intrahospital patient movement, and administration of antimicrobial agents. Ancillary tables were designed &amp; sites populated the tables with calendar year 2016 data. Data characterization was performed to assess overall table statistics, and verify mappings of facility unit locations to NHSN location codes, medications to RxNorm, and routes of administration to one of four SNOMED categories. Additional characterization focused on CDC’s NHSN Validation Protocol for the AU module. Analytical queries were developed to produce the output metrics required for submission to the NHSN AU module.ResultsTwo ancillary tables and two look-up tables were developed: a bed information table (Table 1) to capture local location codes with a date-time stamp for precise tracking of patient location; a separate location look-up table allows mapping to other terminologies (Table 2); and, an inpatient drug administration table (Table 3) to capture data from the electronic medication administration record (eMAR) or bar coding medication administration (BCMA) system, utilizing a route of administration look-up table (Table 4). The data model was structured to accommodate use cases with alternative mapping terminologies for local location code, local term for route of administration, local codes for medication, and the option of including the NDC code. All sites populated the ancillary tables. For the bed information table, all sites utilized their ADT table information for patient movement. For the medication administration table, most sites limited the inclusion criteria to the 89 antimicrobial agents required for reporting to the NHSN AU module. Aggregate results from participating sites for facility-wide measures and select antimicrobial agents are presented in Table 5.ConclusionsThe data model developed was able to produce the metrics required for reporting to CDC’s NHSN AU module. The data dictionary language, implementation guidance, mappings, and queries will be distributed as a tool-kit for other PCORnet and Sentinel sites for reporting to the AU module. In addition, this CDM could allow for the development of additional metrics including excessive use of antibiotic combinations of redundant spectra, syndrome specific antibiotic use, or increased use of excessively broad spectrum antibiotic classes.

Implementing Barcode Medication Administration Systems in Public Sector Medical Units

Medication errors in healthcare have a high cost since it is one of the main causes of harming a patient; it leads to inefficient utilization of healthcare organization resources. The barcode medication administration system helps in improving the patients' safety. The purpose of this article is to determine preparatory needs for introducing a Barcoding Medication Administration System (BCMA) in the medical units in one of the largest tertiary hospital in Abu Dhabi City, United Arab Emirates. Analytical Hierarchical Process (AHP) has been employed to describe systematic decision-making by prioritizing different factors that affect the implementation of BCMA and how technology plays a role in helping to reduce or prevent human errors by promoting safety in the health care sectors. Five major domains are identified: leadership, technology, process, education, quality and safety. Leadership was found to be the most important factor oppositely of technology was the least important.