Barcode Medication Administration Research Articles

Beyond Hospital-Level Aggregated Data: A Methodology to Adapt Clinical Data From the Electronic Health Record for Nursing Unit-Level Research.

Studies of nurse staffing frequently use data aggregated at the hospital level that do not provide the appropriate context to inform unit-level decisions, such as nurse staffing. Describe a method to link patient data collected during the provision of routine care and recorded in the electronic health record (EHR) to the nursing units where care occurred in a national dataset. We identified all Veterans Health Administration acute care hospitalizations in the calendar year 2019 nationwide. We linked patient-level EHR and bar code medication administration data to nursing units using a crosswalk. We divided hospitalizations into segments based on the patient's time-stamped location (ward stays). We calculated the number of ward stays and medication administrations linked to a nursing unit and the unit-level and facility-level mean patient risk scores. We extracted data on 1117 nursing units, 3782 EHR patient locations associated with 1,137,391 ward stays, and 67,772 bar code medication administration locations associated with 147,686,996 medication administrations across 125 Veterans Health Administration facilities. We linked 89.46% of ward stays and 93.10% of medication administrations to a nursing unit. The average (standard deviation) unit-level patient severity across all facilities is 4.71 (1.52), versus 4.53 (0.88) at the facility level. Identification of units is indispensable for using EHR data to understand unit-level phenomena in nursing research and can provide the context-specific information needed by managers making frontline decisions about staffing.

Increasing Barcode Medication Administration in the Emergency Department Setting

Increasing Barcode Medication Administration in the Emergency Department Setting

The Use of Descriptive Analytics to Improve Nursing Compliance with Bar Code Medication Administration in the Outpatient Setting

The Use of Descriptive Analytics to Improve Nursing Compliance with Bar Code Medication Administration in the Outpatient Setting

Understanding the facilitators and barriers to barcode medication administration by nursing staff using behavioural science frameworks. A mixed methods study

IntroductionBarcode medication administration (BCMA) technology helps ensure correct medications are administered by nursing staff through scanning of patient and medication barcodes. In many hospitals scanning rates are low, limiting the potential safety benefits. We aimed to explore the barriers and facilitators to BCMA use in a London hospital.MethodsIn this mixed methods study we used local quantitative data on BCMA scanning rates to identify clinically similar wards (in terms of patient acuity and workload) with different scanning rates for qualitative exploration. Interviews designed to elicit barriers to using BCMA technology were conducted with nursing staff, supported by observations of medication administration. Qualitative data were analysed inductively and a thematic framework constructed housing key themes, subsequently categorised into barriers and facilitators. To explore patient perspectives of BCMA scanning, a purposive sample of patients were also interviewed. These patient data were analysed deductively according to the thematic framework. Themes were mapped to behavioural science frameworks to further understand the behaviours involved.ResultsBCMA was operational on 15 wards, with only six having medication scan rates of more than 10% of scannable doses. Of three wards selected for qualitative investigation, the lowest scan rate was 6.7%. Twenty-seven nurses and 15 patients were interviewed. Eleven key themes were identified, encompassing both barriers and facilitators to BCMA use. Barriers included poor trolley ergonomics and perceived time inefficiency. Facilitators included a streamlined process and thorough training. All nurses described BCMA as positive for patient safety. Patients described BCMA as making them “feel safer”. Behavioural science frameworks highlighted the importance of professional role and an individual’s belief in their capability.ConclusionWe present a novel exploration of facilitators and barriers to BCMA use from the viewpoint of both patients and nursing staff, highlighting a strong perception that BCMA enhances safety. Barriers were reported on both high and low usage wards, demonstrating the importance of behaviours and motivations. These findings provide a detailed understanding from which to design interventions to support behaviour change and increase BCMA use.

Medication Safety Amid Technological Change: Usability Evaluation to Inform Inpatient Nurses' Electronic Health Record System Transition.

Electronic health record (EHR) system transitions are challenging for healthcare organizations. High-volume, safety-critical tasks like barcode medication administration (BCMA) should be evaluated, yet standards for ensuring safety during transition have not been established. Identify risks in common and problem-prone medication tasks to inform safe transition between BCMA systems and establish benchmarks for future system changes. Staff nurses completed simulation-based usability testing in the legacy system (R1) and new system pre- (R2) and post-go-live (R3). Tasks included (1) Hold/Administer, (2) IV Fluids, (3) PRN Pain, (4) Insulin, (5) Downtime/PRN, and (6) Messaging. Audiovisual recordings of task performance were systematically analyzed for time, navigation, and errors. The System Usability Scale measured perceived usability and satisfaction. Post-simulation interviews captured nurses' qualitative comments and perceptions of the systems. Fifteen staff nurses completed 2-3-h simulation sessions. Eleven completed both R1 and R2, and seven completed all three rounds. Clinical experience ranged from novice (< 1year) to experienced (> 10years). Practice settings included adult and pediatric patient populations in ICU, stepdown, and acute care departments. Task completion rates/times, safety and non-safety-related use errors (interaction difficulties), and user satisfaction. Overall success rates remained relatively stable in all tasks except two: IV Fluids task success increased substantially (R1: 17%, R2: 54%, R3: 100%) and Downtime/PRN task success decreased (R1: 92%, R2: 64%, R3: 22%). Among the seven nurses who completed all rounds, overall safety-related errors decreased 53% from R1 to R3 and 50% from R2 to R3, and average task times for successfully completed tasks decreased 22% from R1 to R3 and 38% from R2 to R3. Usability testing is a reasonable approach to compare different BCMA tasks to anticipate transition problems and establish benchmarks with which to monitor and evaluate system changes going forward.

Augmenting the 5 Rights: Improving Compliance with Barcode Medication Administration

Augmenting the 5 Rights: Improving Compliance with Barcode Medication Administration

Fall-related Injuries and Opioid Administration Among Veterans With Dementia in US Department of Veterans Affairs Community Living Centers.

Opioid use is associated with fall-related injuries (FRI) among older adults, especially those with dementia. We examined FRI following changes in national opioid safety initiatives over 3 regulatory periods [preinitiatives baseline (period 1): October 2012 to June 2013; post-Veteran Affairs (VA) opioid safety initiative (period 2): January 2014 to November 2015; post-VA and CDC opioid prescribing guidelines (period 3): March 2017 to September 2018] among Department of VA Community Living Center (CLC) long-stay residents with dementia. VA provided and purchased care records, Medicare claims, CLC Minimum Data Set (MDS) assessments. VA bar-code medication administration data, VA outpatient prescription refill data, and Medicare Part D data were used to capture medication from inpatient, outpatient, and Medicare sources. A total of 12,229 long-stay CLC residents with dementia between October 2012 and September 2018. We applied Veteran-regulatory period level (1) generalized linear model to examine the unadjusted and adjusted trends of FRI, and (2) difference-in-difference model with propensity score weighting to examine the relationship between opioid safety initiatives and FRI in 3 regulatory periods. We applied propensity score weighting to enable the cohorts in periods 2 and 3 had similar indications for opioid administration as in period 1. FRI prevalence per month among CLC residents with Alzheimer disease and related dementias decreased from 3.1% in period 1 to 1.6% and 1.2% in periods 2 and 3, and the adjusted probability of FRI was 17% and 40% lower in periods 2 and 3 compared with period 1. The any, incident, and continued opioid administration were significantly associated with higher FRI, whereas the differences in FRI probabilities between opioid and nonopioid users had no significant changes over the 3 regulatory periods. FRI was reduced among CLC residents with Alzheimer disease and related dementias receiving care in VA CLCs over the 3 regulatory periods, but the FRI reduction was not significantly associated with opioid safety initiatives. Other interventions that potentially targeted falls are likely to have helped reduce these fall events. Future studies could examine whether opioid use reduction ultimately benefitted nursing home residents by focusing on other possible outcomes or whether such reduction only resulted in more untreated pain.

Trends in Risk-Adjusted Initiation and Reduction of Opioid Use among Veterans With Dementia in US Department of Veterans Affairs Community Living Centers.

Proper initiation and reduction of opioids is important in providing effective and safe pain relief to Veterans with dementia, including in Community Living Centers (CLCs). We examined the trends in aggregated monthly risk-adjusted opioid administration days and dosage over 3 opioid safety regulatory periods: pre-Opioid Safety Initiative period (October 1, 2012-June 30, 2013; period 1), pre-CDC Clinical Practice Guideline period (January 1, 2014-November 30, 2015, period 2) and post-Veterans Affairs Clinical Practice Guideline period (March 1, 2017-September 30, 2018; period 3). A retrospective study between October 1, 2012, and September 30,2018. 4995 long-stay CLC residents with dementia who had incident (incident cohort, n= 2609) or continued (continued opioid cohort, n= 2386) opioid administration in CLCs. CLC Minimum Data Set (MDS) assessments data and bar-code medication administration data were used. Opioid initiation was examined for incident opioid cohort and reduction was examined using continued opioid cohort. We first computed aggregated monthly risk-adjusted opioid administration days, opioid with benzodiazepine administration days and opioid dosage, and then examined risk-adjusted incident and continued opioid administration trends over the regulatory periods controlling for facility-level characteristics. Among the incident opioid cohort, compared to period 1, there were 1.9 and 2.1 fewer risk-adjusted opioid administration days per month in periods 2 and 3, respectively; 1.5 fewer risk-adjusted days per month with opioid and benzodiazepine administration in both periods 2 and 3; and 2.2 and 3.7 morphine milligrams equivalent per day (MMED) lower risk-adjusted dosage in periods 2 and 3, respectively. Among the continued opioid cohort, compared to period 1, there were 1.6 and 2.9 fewer risk-adjusted days with opioid and benzodiazepine administration days per month in periods 2 and 3, respectively, and 5.3 MMED lower risk-adjusted dosage per month in period3. CLC providers initiated and reduced opioid administration in fewer days and at lower dosage among Veterans with dementia across the regulatory periods. The result was likely due to systemic efforts from health care professionals, CLC administrators, and policy makers or VA central office, aiming to reduce opioid misuse and improve quality of care in nursing home residents with dementia. What is still unknown is whether pain was well controlled or nonpharmacologic treatments were utilized.

Patient Safety of Perioperative Medication Through the Lens of Digital Health and Artificial Intelligence.

Perioperative medication has made significant contributions to enhancing patient safety. Nevertheless, administering medication during this period still poses considerable safety concerns, with many errors being detected only after causing significant physiological disturbances. The intricacy of medication administration in the perioperative setting poses specific challenges to patient safety. To address these challenges, implementing potential strategies and interventions is critical. One such strategy is raising awareness and revising educational curricula regarding drug safety in the operating room. Another crucial strategy is recognizing the importance of redundancy and multiple checks in the operating room as a hallmark of medication safety, which is not a common practice. Digital health technologies and artificial intelligence (AI) also offer the potential to improve perioperative medication safety. Computerized physician order entry systems, electronic medication administration records, and barcode medication administration systems have been proven to reduce medication errors and improve patient safety. By implementing these strategies and interventions, health care professionals can enhance the safety of perioperative medication administration and improve patient outcomes.

Implementation of barcode medication administration (BMCA) technology on infusion pumps in the operating rooms

BackgroundMedication administration errors (MAEs) are a major cause of morbidity and mortality. An updated barcode medication administration (BCMA) technology on infusion pumps is implemented in the operating rooms to automate...

"Are we there yet?" Ten persistent hazards and inefficiencies with the use of medication administration technology from the perspective of practicing nurses.

(1) Characterize persistent hazards and inefficiencies in inpatient medication administration; (2) Explore cognitive attributes of medication administration tasks; and (3) Discuss strategies to reduce medication administration technology-related hazards. Interviews were conducted with 32 nurses practicing at 2 urban, eastern and western US health systems. Qualitative analysis using inductive and deductive coding included consensus discussion, iterative review, and coding structure revision. We abstracted hazards and inefficiencies through the lens of risks to patient safety and the cognitive perception-action cycle (PAC). Persistent safety hazards and inefficiencies related to MAT organized around the PAC cycle included: (1) Compatibility constraints create information silos; (2) Missing action cues; (3) Intermittent communication flow between safety monitoring systems and nurses; (4) Occlusion of important alerts by other, less helpful alerts; (5) Dispersed information: Information required for tasks is not collocated; (6) Inconsistent data organization: Mismatch of the display and the user's mental model; (7) Hidden medication administration technologies (MAT) limitations: Inaccurate beliefs about MAT functionality contribute to overreliance on the technology; (8) Software rigidity causes workarounds; (9) Cumbersome dependencies between technology and the physical environment; and (10) Technology breakdowns require adaptive actions. Errors might persist in medication administration despite successful Bar Code Medication Administration and Electronic Medication Administration Record deployment for reducing errors. Opportunities to improve MAT require a deeper understanding of high-level reasoning in medication administration, including control over the information space, collaboration tools, and decision support. Future medication administration technology should consider a deeper understanding of nursing knowledge work for medication administration.

Medication administration errors in the domain of infusion therapy in intensive care units: a survey study among nurses

BackgroundDespite extensive research carried out on medication administration errors (MAEs) in the domain of infusion therapy, there is limited knowledge on nurse’s perceptions on the occurrence of MAEs during infusion therapy. Since nurses are responsible for medication preparation and administration in Dutch hospitals, it is vital to understand their perspectives on the risk factors for MAEs.AimThe purpose of this study is to investigate the perception of nurses, working in adult ICUs, on the occurrence of MAEs during continuous infusion therapies.MethodsA digital web-based survey was distributed among 373 ICU nurses working in Dutch hospitals. The survey investigated nurses’ perceptions on the frequency, severity of consequences and preventability of MAEs, factors for the occurrence of MAEs, and infusion pump and smart infusion safety technology.ResultsA total of 300 nurses started to fill out the survey but only 91 of them (30.3%) fully completed it and were included in analyses. Medication-related factors and Care professional-related factors were perceived as the two most important risk categories for the occurrence of MAEs. Important risk factors contributing to the occurrence of MAEs included high patient-nurse ratio, problems in communication between caregivers, frequent staff changes and transfers of care, and no/incorrect dosage/concentration on labels. Drug library was reported as the most important infusion pump feature and both Bar Code Medication Administration (BCMA) and medical device connectivity as the two most important smart infusion safety technologies. Nurses perceived the majority of MAEs as preventable.ConclusionsBased on ICU nurses' perceptions, the present study suggests that strategies to reduce MAEs in these units should focus on, among other factors, the high patient-to-nurse ratio, problems in communication between nurses, frequent staff changes and transfers of care, and no/incorrect dosage/concentration on drug labels.

Barcode Medication Administration Technology to Prevent Medication Errors.

Medication errors cause harm to patients at any point along the medication administration process and can be prevented. Barcoding medication administration (BCMA) is effective as a clinical decision support system (CDSS) to avoid errors. This viewpoint proposes the implementation of BCMA to avoid potential adverse events. The opinion piece gives an overview of BCMA, reviews the current literature on its effectiveness, and sheds light on the associated challenges and how to overcome them. The objective of this article is to increase awareness regarding BCMA and how it can decrease patient morbidity and mortality, enhance safety, and lower overall hospital-associated costs by preventing medication errors. Key Words: Bar-code medication administration, Medication errors, Adverse drug events, Patient safety.

Barcode Medication Administration Technology to Prevent Medication Errors.

Medication errors cause harm to patients at any point along the medication administration process and can be prevented. Barcoding medication administration (BCMA) is effective as a clinical decision support system (CDSS) to avoid errors. This viewpoint proposes the implementation of BCMA to avoid potential adverse events. The opinion piece gives an overview of BCMA, reviews the current literature on its effectiveness, and sheds light on the associated challenges and how to overcome them. The objective of this article is to increase awareness regarding BCMA and how it can decrease patient morbidity and mortality, enhance safety, and lower overall hospital-associated costs by preventing medication errors. Key Words: Bar-code medication administration, Medication errors, Adverse drug events, Patient safety.

A Novel Use of Bar Code Medication Administration Data to Assess Nurse Staffing and Workload.

The aim of the study is to introduce an innovative use of bar code medication administration (BCMA) data, medication pass analysis, that allows for the examination of nurse staffing and workload using data generated during regular nursing workflow. Using 1 year (October 1, 2014-September 30, 2015) of BCMA data for 11 acute care units in one Veterans Affairs Medical Center, we determined the peak time for scheduled medications and included medications scheduled for and administered within 2 hours of that time in analyses. We established for each staff member their daily peak-time medication pass characteristics (number of patients, number of peak-time scheduled medications, duration, start time), generated unit-level descriptive statistics, examined staffing trends, and estimated linear mixed-effects models of duration and start time. As the most frequent (39.7%) scheduled medication time, 9:00 was the peak-time medication pass; 98.3% of patients (87.3% of patient-days) had a 9:00 medication. Use of nursing roles and number of patients per staff varied across units and over time. Number of patients, number of medications, and unit-level factors explained significant variability in registered nurse (RN) medication pass duration (conditional R2 = 0.237; marginal R2 = 0.199; intraclass correlation = 0.05). On average, an RN and a licensed practical nurse (LPN) with four patients, each with six medications, would be expected to take 70 and 74 minutes, respectively, to complete the medication pass. On a unit with median 10 patients per LPN, the median duration (127 minutes) represents untimely medication administration on more than half of staff days. With each additional patient assigned to a nurse, average start time was earlier by 4.2 minutes for RNs and 1.4 minutes for LPNs. Medication pass analysis of BCMA data can provide health systems a means for assessing variations in staffing, workload, and nursing practice using data generated during routine patient care activities.

Improving Administration and Documentation of Enteral Nutrition Support Therapy in a Veteran Affairs Health Care System: Use of Medication Administration Record and Bar Code Scanning Technology.

The goal of this project was to evaluate and improve the ordering, administration, documentation, and monitoring of enteral nutrition therapies within the inpatient setting in a Veteran's Health Administration system. An interdisciplinary team of clinicians reviewed the literature for best practices and revised the process for enteral nutrition support for hospitalized veterans. Interventions included training staff, revising workflows to include scanning patients and products, including enteral nutrition orders within the medication administration record (MAR), and using the existing bar code medication administration system for administration, documentation, and monitoring. Baseline and postprocess improvement outcomes over a year period were collected and analyzed for quality improvement opportunities. Before process change, only 60% (33/55) of reviewed enteral nutrition orders were documented and 40% (22/55) were not documented in the intake flowsheet of the electronic health record. In the year after adding enteral nutrition therapies to the MAR and using bar code scanning, a total of 3807 enteral nutrition products were evaluated. One hundred percent of patients were bar code scanned, 3106/3807 (82%) products were documented as given, 447/3807 (12%) were documented as held (with comments), 12/3807 (<1%) were documented as missing/unavailable, and 242/3807 (6%) were documented as refused. Inclusion of enteral nutrition order sets on the MAR and using bar code scanning technology resulted in sustained improvements in safety, administration, and documentation of enteral therapies for hospitalized veterans.

Sustained barcode medication administration rates less than 2 percent in a large healthcare system

Purpose Implementation of bar code medication administration (BCMA) technology is an effective strategy to decrease medication administration errors. Consistent use of BCMA technology within a hospital system should result in improved patient safety through the reduction of medication related administration errors. Based on this premise, a large health system established an annual goal to reduce BCMA override rates to less than 2%. Methods A large health system located in the Intermountain West developed a BCMA override reporting tool to assist with reducing BCMA override rates. An essential component of the reporting tool is the visual management strategy which allows caregivers to easily identify goal progress. The tool also includes information that managers can use to determine how often their direct reports override medications. Pharmacy caregivers can also use the data from the reporting tool to address specific issues related to medications that do not scan properly. Results Implementation of the tool and education on its use, resulted in individual follow up with nursing units and nurses, ultimately producing sustained barcode overrides less than 2%. Conclusion By implementing reporting systems that identifies specific opportunities for improvement, barcode override rates can be decreased to less than 2% in a large healthcare system.

Implementing a Home-Grown Barcoded Medication Administration System in a Quaternary Care Hospital

Implementing a Home-Grown Barcoded Medication Administration System in a Quaternary Care Hospital

Overcoming Bar Code Medication Administration Scanning Challenges in the Emergency Department

Background: Bar Code Medication Administration (BCMA) scanning is a globally accepted technology. However, many clinicians do not understand the requirements as a metric for nursing quality and safety behind the BCMA process. Objective: The aim of this Quality Improvement (Q.I.) project is to improve the BCMA scanning compliance, to identify the percentage of noncompliance, along with the numbers representing the percentage and to raise awareness of the challenges of using BCMA in the Emergency Department setting. Methodology: The Institute of Healthcare Improvement’s Plan-Do-Study-Act (PDSA) cycle was used to plan, test, and observe the results of this Q.I. project. This report followed the Standards for Quality Improvement Reporting Excellence (SQUIRE V.2.0) publication guidelines. Results: Following a series of PDSA cycle implementations over an 18-month period, BCMA scanning rates for patients were increased to 93%, and medication scanning was increased to 94%, with an overall increase of 33% and 34%, respectively. Timely documentation improved by 18%, which accounted for a total of 96% compliance. Conclusion and Recommendations: Leadership involvement, nursing workflow monitoring of BCMA safety, as well as staff accountability and recognition, were crucial factors in improving the overall compliance rate. Suggestions to improve scanning safety include modifying the dashboard and highlighting the noncompliance scanning percentage along with actual numbers to raise awareness among clinicians. Organizations need to implement ongoing monitoring, continued training, and education, along with improvements and modifications.

Development of the Leapfrog Group's Bar Code Medication Administration Standard to Address Hospital Inpatient Medication Safety.

Medication errors are the most common type of error in hospitals and reflect a leading cause of avoidable harm to patients. Bar code medication administration (BCMA) systems are a technology designed to help intercept medication errors at the point of medication administration. This article describes the process of developing, testing, and refining a standard for BCMA adoption and use in U.S. hospitals, as measured through the Leapfrog Hospital Survey. Building on the published literature and an expert panel's collective experience in studying, implementing, and using BCMA systems, the expert panel recommended a standard with 4 key domains. Leapfrog's BCMA standard provides hospitals with a "how-to guide" on what best practice looks like for using BCMA to ensure safe medication administration at the bedside.