Barcode-assisted Medication Administration Research Articles

Describing Medication Administration and Alert Patterns Experienced by New Graduate Nurses During the First Year of Practice.

The aim of this study was to describe medication administration and alert patterns among a cohort of new graduate nurses over the first year of practice. Medical errors related to clinical decision-making, including medication administration errors, may occur more frequently among new graduate nurses. To better understand nursing workflow and documentation workload in today's clinical environment, it is important to understand patterns of medication administration and alert generation during barcode-assisted medication administration. Study objectives were addressed through a descriptive, longitudinal, observational cohort design using secondary data analysis. Set in a large, urban medical center in the United States, the study sample included 132 new graduate nurses who worked on adult, inpatient units and administered medication using barcode-assisted medication administration. Data were collected through electronic health record and administration sources. New graduate nurses in the sample experienced a total of 587 879 alert and medication administration encounters, administering 772 unique medications to 17 388 unique patients. Nurses experienced an average medication workload of 28.09 medications per shift, 3.98% of which were associated with alerts, over their first year of practice. In addition to high volume of medication administration, new graduate nurses administer many different types of medications and are exposed to numerous alerts while using barcode-assisted medication administration.

Pharmacy practice in hospital settings in GCC countries: Dispensing and administration

PurposeTo outline dispensing and administration practices in hospital pharmacy across the Gulf Cooperation Councils (GCC) countries’ hospitals. Paucity of data in appraising hospital pharmacy practice in GCC regions motivated us to conduct this study. MethodsA modified survey questionnaire was prepared from the American Society of Health-System Pharmacist (ASHP) survey questions. Three major domains of questions for general characteristics of the medication use process for dispensing and administration were identified. These were, (1) medication distribution system, and medication distribution technology, (2) technology used to compound sterile preparations, compounding I.V. medication and method of compounding nutrition support preparations, (3) medication administration practices, medication orders, medication administration records (MARs), and technician activities. A list of hospitals was obtained from the Ministry of Health of the targeted GCC countries. A secure invitation link containing a survey questionnaire was sent to the participants directly. ResultsSixty-four hospitals responded to this survey. The overall response rate was 52%. Most surveyed hospitals have centralized inpatient medications distribution system (75.0%). About 37.5% of hospitals used automated dispensing cabinets (ADCs) in their patient care areas. Compounding sterile preparations in the pharmacy, barcode verification technology, workflow management technology, and robotic technology were used by 17.2%, 15.6%, and 4.7% of hospitals, respectively. In using safety technology for medication administration, almost all hospitals have partially or completely implemented an electronic health record (EHR). About 40.6% of hospitals used electronic medication administration records (e-MARs), 20.3% used bar-code-assisted medication administration (BCMA), and 35.9% used smart infusion pumps. ConclusionThe results of this survey revealed an opportunity to improve the medication use management process on dispensing and administration practices in hospitals in GCC countries.

Medication safety in the perioperative setting: A comparison of methods for detecting medication errors and adverse medication events.

The purpose of this study was to evaluate perioperative medication-related incidents (medication errors (MEs) and/or adverse medication events (AMEs)) identified by 2 different reporting methods (self-report and direct observation), and to compare the types and severity of incidents identified by each method. We compared perioperative medication-related incidents identified by direct observation in Nanji et al's 2016 study[1] to those identified by self-report via a facilitated incident reporting system at the same 1046-bed tertiary care academic medical center during the same 8-month period. Incidents, including MEs and AMEs were classified by type and severity. In 277 operations involving 3671 medication administrations, 193 MEs and/or AMEs were observed (5.3% incident rate). While none of the observed incidents were self-reported, 10 separate medication-related incidents were self-reported from different (unobserved) operations that occurred during the same time period, which involved a total of 21,576 operations and approximately 280,488 medication administrations (0.004% self-reported incident rate). The distribution of incidents (ME, AME, or both) did not differ by direct observation versus self-report methodology. The types of MEs identified by direct observation differed from those identified by self-report (P = .005). Specifically, the most frequent types of MEs identified by direct observation were labeling errors (N = 37; 24.2%), wrong dose errors (N = 35; 22.9%) and errors of omission (N = 27; 17.6%). The most frequent types of MEs identified by self-report were wrong dose (N = 5; 50%) and wrong medication (N = 4; 40%). The severity of incidents identified by direct observation and self-report differed, with self-reported incidents having a higher average severity (P < .001). The procedure types associated with medication-related incidents did not differ by direct observation versus self-report methodology. Direct observation captured many more perioperative medication-related incidents than self-report. The ME types identified and their severity differed between the 2 methods, with a higher average incident severity in the self-reported data.

Cost-effectiveness of central automated unit dose dispensing with barcode-assisted medication administration in a hospital setting.

Central automated unit dose dispensing (cADD) with barcode-assisted medication administration (BCMA) has been shown to reduce medication administration errors (MAEs). Little is known about the cost-effectiveness of this intervention. To estimate the cost-effectiveness of cADD with BCMA compared to usual care. An economic evaluation was conducted alongside a prospective before-and-after effectiveness study in a Dutch university hospital. The primary effect measure was the difference between the rate of MAEs before and after implementation of cADD with BCMA, obtained by disguised observation in six clinical wards and subsequent extrapolation to the entire hospital. The cost-analysis was conducted from a hospital perspective with a 12-month incremental costing approach. The total costs covered the pharmaceutical service, nurse medication handling, wastage, and materials related to cADD. The primary outcome was the cost-effectiveness ratio expressed as costs per avoided MAE, obtained by dividing the annual incremental costs by the number of avoided MAEs. The secondary outcome was the cost-effectiveness ratio expressed as costs per avoided potentially harmful MAE (i.e. MAEs with the potential to cause harm). The intervention was associated with an absolute MAE reduction of 4.5% and a reduction of 2.7% for potentially harmful MAEs. Based on 2,260,870 administered medications in the entire hospital annually, a total of 102,210 MAEs and 59,830 potentially harmful MAEs were estimated to be avoided. The intervention was associated with an increased incremental cost of €1,808,600 annually. The cost-effectiveness ratio was €17.69 per avoided MAE and €30.23 per avoided potentially harmful MAE. The implementation of cADD with BCMA was associated with a reduced rate of medication errors, including harmful ones, at higher overall costs. The costs per avoided error are relatively low, and therefore, this intervention could be an important strategy to improve patient safety in hospitals.

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.

Effect of automated unit dose dispensing with barcode scanning on medication administration errors: an uncontrolled before-and-after study.

BackgroundMedication administration errors (MAEs) occur frequently in hospitals and may compromise patient safety. Preventive strategies are needed to reduce the risk of MAEs.ObjectiveThe primary aim of this study was to assess the effect of central automated unit dose dispensing with barcode-assisted medication administration on the prevalence of MAEs. Secondary aims were to assess the effect on the type and potential severity of MAEs. Furthermore, compliance with procedures regarding scanning of patient and medication barcodes and nursing staff satisfaction with the medication administration system were assessed.MethodsWe performed a prospective uncontrolled before-and-after study in six clinical wards in a Dutch university hospital from 2018 to 2020. MAE data were collected by observation. The primary outcome was the proportion of medication administrations with one or more MAEs. Secondary outcomes were the type and potential severity of MAEs, rates of compliance with patient identification and signing of administered medication by scanning and nursing staff satisfaction with the medication administration system. Multivariable mixed-effects logistic regression analyses were used for the primary outcome to adjust for confounding and for clustering on nurse and patient level.ResultsOne or more MAEs occurred in 291 of 1490 administrations (19.5%) pre-intervention and in 258 of 1630 administrations (15.8%) post-intervention (adjusted odds ratio 0.70, 95% confidence interval 0.51–0.96). The rate of omission fell from 4.6% to 2.0% and of wrong dose from 3.8% to 2.1%, whereas rates of other MAE types were similar. The rate of potentially harmful MAEs fell from 3.0% (n = 44) to 0.3% (n = 5). The rates of compliance with scanning of patient and medication barcode post-intervention were 13.6% and 55.9%, respectively.The median overall satisfaction score of the nurses with the medication administration system on a 100-point scale was 70 (interquartile range 63–75, n = 193) pre-intervention and 70 (interquartile range 60–78, n = 145) post-intervention (P = 0.626, Mann–Whitney U test).ConclusionThe implementation of central automated unit dose dispensing with barcode-assisted medication administration was associated with a lower probability of MAEs, including potentially harmful errors, but more compliance with scanning procedures is needed. Nurses were moderately satisfied with the medication administration system, both before and after implementation. In conclusion, despite low compliance with scanning procedures, this study shows that this intervention contributes to the improvement of medication safety in hospitals.

Nurse Cognition, Decision Support, and Barcode Medication Administration: A Conceptual Framework for Research, Practice, and Education.

This article synthesizes theoretical perspectives related to nurse cognition. We present a conceptual model that can be used by multiple stakeholders to study and contemplate how nurses use clinical decision support systems, and specifically, Barcode-Assisted Medication Administration, to make decisions during the delivery of care. Theoretical perspectives integrated into the model include dual process theory, the Cognitive Continuum Theory, human factors engineering, and the Recognition-Primed Decision model. The resulting framework illustrates the process of nurse cognition during Barcode-Assisted Medication Administration. Additionally, the model includes individual or human and environmental factors that may influence nurse cognition and decision making. It is important to consider the influence of individual, human, and environmental factors on the process of nurse cognition and decision making. Specifically, it is necessary to explore the impact of heuristics and biases on clinician decision making, particularly related to the development of alarm and alert fatigue. Aided by the proposed framework, stakeholders may begin to identify heuristics and cognitive biases that influence the decision of clinicians to accept or override a clinical decision support system alert and whether heuristics and biases are associated with inappropriate alert override.

Effect of barcode technology on medication preparation safety: a quasi-experimental study.

Medication errors are a common problem in hospitals and a major driver of adverse patient outcomes. Barcode verification technology is a promising strategy to help ensure safe medication preparation practices. The objectives of this study were (i) to assess the effects of a barcode-assisted medication preparation and administration system regarding the rate of medication preparation errors and (ii) to compare the time spent on medication preparation tasks by medical staff. A quasi-experimental study with a pre-post design was conducted, from August 2017 to July 2018, in two mixed medical/surgical units of a tertiary teaching hospital. The primary aim was to assess the effects of a barcode-based electronically assisted medication preparation and administration system linked to the hospital's electronic medication administration record regarding the rate of medication preparation errors and time-based staff performance. Data were collected using direct observation. Adjusted and unadjusted logistic models were used for error frequencies and linear regression models for time performance. 5932 instances of medication selection and dosing during 79 medication preparation procedures were observed. The overall medication preparation error incidence decreased from 9.9% at baseline to 4.5% at post-intervention, corresponding to a relative risk reduction of 54.5% (P < 0.001). However, the adjusted effect by registered nurses (RNs) and nurses' work experience of total medication preparation errors showed only borderline significance (odds ratio [OR] 0.64, P = 0.051). For adjusted error-specific analyses, significant error reductions were found in wrong medication errors (OR 0.38, P < 0.010) and wrong dosage errors (OR 0.12, P = 0.004). Wrong patient, wrong form and ambiguous dispenser errors did not occur at post-intervention. Errors of omission (OR 1.53, P = 0.17), additional doses (OR 0.63, P = 0.64) and wrong dispenser boxes (OR 0.51, P = 0.11) did not change significantly. The time necessary to prepare medications for a 24-h period also decreased significantly-from 30.2 min to 17.2 min (beta = -6.5, P = 0.047), while mean preparation time per individual medication dose fell from 24.3 s to 15.1 s (beta = -5.0, P = 0.002). Use of the new barcode technology significantly reduced the rate of some medication preparation errors in our sample. Moreover, the time necessary for medication preparation, both per 24-h period and per single-medication dose, was significantly reduced.

Quality Management of Inpatient Medication Administration in Hong Kong Public Hospitals

Medicine maladministration can result in various side effects to patients, including serious complications, extended medical care, incapacity and death. In Hong Kong public hospitals, the pattern of medication error consists of prescribing error usually made by physicians, dispensing error resulted from pharmacists and dispensers, drug administration error caused by nurses and patient-care workers and technology-related error associated with technology used in the drug administration process. Medication Administration Record (MAR) and ward stock are the usual inpatient medication system within Hospital Authority public hospitals before the development of the electronic system, while the Inpatient Medication Order Entry (IPMOE) functions to provide real-time accessibility in patients’ medication profiles by different professions and health units. However, several factors are related with medication errors. For instance, the ambiguous handwriting orders in the MAR prescribed by physicians affect the transcription by pharmacists and the administration procedures in ward by nurses. Administering medicines in ward stock before pharmacists vetting increase the chance of making errors. Poor interface issues between users and system, and the computer over-reliance are also contributed in resultant technology-related errors. In order to reduce the occurrence of medication incidents, implementation of Automated Pharmacy Distribution Systems helps moving towards a closed loop medication management system. Modifying technologies in barcode assisted medication administration and enhancing the IPMOE with a pop-up message could help intercepting drug administration errors to patients.. The elimination of the potential risks arising from the prescribing, dispensing and drug administration processes brings the achievement of medication safety in Hong Kong public hospitals.

Factors associated with workarounds in barcode-assisted medication administration in hospitals.

Aims and objectivesTo identify that workarounds (defined as “informal temporary practices for handling exceptions to normal procedures or workflow”) by nurses using information technology potentially compromise medication safety. Therefore, we aimed to identify potential risk factors associated with workarounds performed by nurses in Barcode‐assisted Medication Administration in hospitals.BackgroundMedication errors occur during the prescribing, distribution and administration of medication. Errors could harm patients and be a tragedy for both nurses and medical doctors involved. Interventions to prevent errors have been developed, including those based on information technology. To cope with shortcomings in information technology‐based interventions as Barcode‐assisted Medication Administration, nurses perform workarounds. Identification of workarounds in information technology is essential to implement better‐designed software and processes which fit the nurse workflow.DesignWe used the data from our previous prospective observational study, performed in four general hospitals in the Netherlands using Barcode techniques, to administer medication to inpatients.MethodsData were collected from 2014–2016. The disguised observation was used to gather information on potential risk factors and workarounds. The outcome was a medication administration with one or more workarounds. Logistic mixed models were used to determine the association between potential risk factors and workarounds. The STROBE checklist was used for reporting our data.ResultsWe included 5,793 medication administrations among 1,230 patients given by 272 nurses. In 3,633 (62.7%) of the administrations, one or more workarounds were observed. In the multivariate analysis, factors significantly associated with workarounds were the medication round at 02 p.m.–06 p.m. (adjusted odds ratio [OR]: 1.60, 95% CI: 1.05–2.45) and 06 p.m.–10 p.m. (adjusted OR: 3.60, 95% CI: 2.11–6.14) versus the morning shift 06 a.m.–10 a.m., the workdays Monday (adjusted OR: 2.59, 95% CI: 1.51–4.44), Wednesday (adjusted OR: 1.92, 95% CI: 1.2–3.07) and Saturday (adjusted OR: 2.24, 95% CI: 1.31–3.84) versus Sunday, the route of medication, nonoral (adjusted OR: 1.28, 95% CI: 1.05–1.57) versus the oral route of drug administration, the Anatomic Therapeutic Chemical classification‐coded medication “other” (consisting of the irregularly used Anatomic Therapeutic Chemical classes [D, G, H, L, P, V, Y, Z]) (adjusted OR: 1.49, 95% CI: 1.05–2.11) versus Anatomic Therapeutic Chemical class A (alimentary tract and metabolism), and the patient–nurse ratio ≥6–1 (adjusted OR: 5.61, 95% CI: 2.9–10.83) versus ≤5–1.ConclusionsWe identified several potential risk factors associated with workarounds performed by nurses that could be used to target future improvement efforts in Barcode‐assisted Medication Administration.Relevance to clinical practiceNurses administering medication in hospitals using Barcode‐assisted Medication Administration frequently perform workarounds, which may compromise medication safety. In particular, nurse workload and the patient–nurse ratio could be the focus for improvement measures as these are the most clearly modifiable factors identified in this study.

Alert Types and Frequencies During Bar Code-Assisted Medication Administration: A Systematic Review.

Existing literature explores the effectiveness of bar code-assisted medication administration (BCMA) on the reduction of medication administration error as well as on nurse workarounds during BCMA. However, there is no review that comprehensively explores types and frequencies of alerts generated by nurses during BCMA. The purpose was to describe alert generation type and frequency during BCMA. A systematic review of the literature using PRISMA guidelines was conducted using CINAHL, PubMed, EMBASE, and Ovid Medline databases. After screening for inclusion and exclusion criteria, a total of 8 articles were identified and included in the review. Alert types included patient mismatch, wrong medication, and wrong dose, though other alert types were also reported. The frequency of alert generation varied across studies, from 0.18% to 42%, and not all alerts were clinically meaningful. This systematic review synthesized literature related to alert type and frequency during BCMA. However, further studies are needed to better describe alert generation patterns as well as factors that influence alert generation.

Integration of a Commercial Barcode-Assisted Medication Dispensing System in a Teaching Hospital

A commercial barcode-assisted medication administration (BCMA) system was integrated to secure the medication process and particularly the dispensing stage by technicians and the administration stage with nurses. We aimed to assess the impact of this system on medication dispensing errors and barriers encountered during integration process. We conducted a controlled randomized study in a teaching hospital, during dispensing process at the pharmacy department. Four wards were randomized in the experimental group and control group, with two wards using the system during 3 days with dedicated pharmacy technicians. The system was a closed loop system without information return to the computerized physician order entry system. The two dedicated technicians had a 1-week training session. Observations were performed by one observer among the four potential observers previously trained. The main outcomes assessed were dispensing error rates and the identification of barriers encountered to expose lessons learned from this study. There was no difference between the dispensing error rate of the control and experimental groups (7.9% for both, p = 0.927). We identified 10 barriers to pharmacy barcode-assisted system technology deployment. They concerned technical (problems with semantic interoperability interfaces, bad user interface, false errors generated, lack of barcodes), structural (poor integration with local information technology), work force (short staff training period, insufficient workforce), and strategic issues (system performance problems, insufficient budget). This study highlights the difficulties encountered in integrating a commercial system in current hospital information systems. Several issues need to be taken into consideration before the integration of a commercial barcode-assisted system in a teaching hospital. In our experience, interoperability of this system with the electronic health record is the key for the success of this process with an entire closed loop system from prescription to administration. BCMA system at the dispensing process remains essential to purchase securing medication administration process.

Use of clinical decision support to identify i.v.-to-oral conversion opportunities and cost savings.

The use of a clinical decision support (CDS) tool to determine patients' eligibility for oral medication therapy and the opportunity cost of i.v.-to-oral conversion practices in a large health system was evaluated. This multicenter, retrospective, process improvement study comprised CDS data generated by 149 hospitals from May 1 through October 31, 2015. Data related to i.v.-to-oral conversions were identified and compiled for evaluation. For each patient with an opportunity for i.v.-to-oral therapy conversion, corresponding barcode-assisted medication administration data were evaluated to determine the number of doses that were administered within prespecified time periods. A total of 121,685 i.v.-to-oral conversion opportunities, corresponding to 71,342 unique patients and encompassing 31 different medications, were evaluated. The top 13 medications representing 94% of the total number of alerts and over 1.4 million doses were included for analysis. Current i.v.-to-oral conversion practices saved the hospitals 9% on medication costs. Upon further evaluation, additional cost savings of 29-78% for those 13 medications could be achieved with more timely conversion from i.v. to oral therapy. Hospital pharmacists' i.v.-to-oral conversion practices with the CDS tool resulted in medication cost savings of 9%, or $1.48 million, for 13 medications evaluated over a 6-month period.

Association between workarounds and medication administration errors in bar-code-assisted medication administration in hospitals.

To study the association of workarounds with medication administration errors using barcode-assisted medication administration (BCMA), and to determine the frequency and types of workarounds and medication administration errors. A prospective observational study in Dutch hospitals using BCMA to administer medication. Direct observation was used to collect data. Primary outcome measure was the proportion of medication administrations with one or more medication administration errors. Secondary outcome was the frequency and types of workarounds and medication administration errors. Univariate and multivariate multilevel logistic regression analysis were used to assess the association between workarounds and medication administration errors. Descriptive statistics were used for the secondary outcomes. We included 5793 medication administrations for 1230 inpatients. Workarounds were associated with medication administration errors (adjusted odds ratio 3.06 [95% CI: 2.49-3.78]). Most commonly, procedural workarounds were observed, such as not scanning at all (36%), not scanning patients because they did not wear a wristband (28%), incorrect medication scanning, multiple medication scanning, and ignoring alert signals (11%). Common types of medication administration errors were omissions (78%), administration of non-ordered drugs (8.0%), and wrong doses given (6.0%). Workarounds are associated with medication administration errors in hospitals using BCMA. These data suggest that BCMA needs more post-implementation evaluation if it is to achieve the intended benefits for medication safety. In hospitals using barcode-assisted medication administration, workarounds occurred in 66% of medication administrations and were associated with large numbers of medication administration errors.

ASHP national survey of pharmacy practice in hospital settings: Prescribing and transcribing-2016.

The results of the 2016 ASHP national survey of pharmacy practice in hospital settings are presented. A stratified random sample of pharmacy directors at 1,315 general and children's medical-surgical hospitals in the United States were surveyed using a mixed-mode method offering a choice of completing a paper survey or an online survey. IMS Health supplied data on hospital characteristics; the survey sample was drawn from IMS's hospital database. The survey response rate was 29.8%. Drug policy development by pharmacy and therapeutics committees continues to be an important strategy for improving prescribing. Strict formulary systems are maintained in 63.0% of hospitals, and 89.7% of hospitals use clinical practice guidelines that include medications. Pharmacists have the authority to order laboratory tests in 89.9% of hospitals and order medications in 86.8% of hospitals. Therapeutic interchange policies are used in 89.2% of hospitals. Electronic health records (EHRs) have been implemented partially or completely in most hospitals (99.1%). Computerized prescriber-order-entry systems with clinical decision support are used in 95.6% of hospitals, and 92.6% of hospitals have barcode-assisted medication administration systems. Transitions-of-care programs are increasing in number, with 34.6% of hospitals now offering discharge prescription services. Pharmacists practice in 39.5% of hospital ambulatory or primary care clinics. The most common service offered by pharmacists to outpatients is anticoagulation management (26.0%). When pharmacists practice in ambulatory care clinics, 64.5% have prescribing authority through collaborative practice agreements. Pharmacists continue to expand their role in improving the prescribing of medications in both hospital and outpatient settings. The adoption of EHRs and medication-use technologies has contributed to this growth.

Association Between Workarounds and Medication Administration Errors in Bar Code-Assisted Medication Administration: Protocol of a Multicenter Study.

BackgroundInformation technology-based methods such as bar code-assisted medication administration (BCMA) systems have the potential to reduce medication administration errors (MAEs) in hospitalized patients. In practice, however, systems are often not used as intended, leading to workarounds. Workarounds may result in MAEs that may harm patients.ObjectiveThe primary aim is to study the association of workarounds with MAEs in the BCMA process. Second, we will determine the frequency and type of workarounds and MAEs and explore the potential risk factors (determinants) for workarounds.MethodsThis is a multicenter prospective study on internal medicine and surgical wards of 4 Dutch hospitals using BCMA systems to administer medication. We will include a total of 6000 individual drug administrations using direct observation to collect data.ResultsThe project was funded in 2014 and enrollment was completed at the end of 2016. Data analysis is under way and the first results are expected to be submitted for publication at the end of 2017.ConclusionsIf an association between workarounds and MAEs is established, this information can be used to reduce the frequency of MAEs. Information on determinants of workarounds can aid in a focused approach to reduce workarounds and thus increase patient safety.Trial RegistrationNetherlands Trial Register NTR4355; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=4355 (Archived by WebCite at http://www.webcitation.org/6pqTLxc6i).

Prediction of inventory sustainability during a drug shortage.

A methodology for predicting how long the on-hand inventory of a given medication will last during a supply shortage is described; a practical example of application of the methodology is provided. Single-site data on consumption of i.v. tobramycin over an eight-month evaluation period were collected using commercial software that tabulates barcode-assisted medication administration (BCMA) events; administered doses were standardized as 1200-mg "vial-equivalents" and summed over the review period. The total number of vial-equivalents consumed was divided by the number of "non-zero weeks of consumption" (i.e., weeks during which any tobramycin use occurred) to obtain a mean ± S.D. weekly consumption rate; this rate was multiplied by the total i.v. tobramycin on-hand supply (in vial-equivalents) to determine the mean number of potentially sustainable weeks of therapy in the event a shortage were to restrict the future supply of the drug. Overall, 99.6 vial-equivalents of i.v. tobramycin were used during the evaluation period. The mean ± S.D. number of vial-equivalents used per non-zero week of consumption was 3.11 ± 1.26. A manual count of pharmacy inventory revealed that 102.9 vial-equivalents were available at the time of analysis. The mean predicted duration of supply was 33 weeks (95% confidence interval, -126 to 192 weeks). Available BCMA data on tobramycin consumption over eight months were used to calculate the mean number of weeks the on-hand supply of the drug could be expected to last during a persistent drug shortage.

ASHP national survey of pharmacy practice in hospital settings: Monitoring and patient education—2015

The results of the 2015 ASHP national survey of pharmacy practice in hospital settings are presented. A stratified random sample of pharmacy directors at 1432 U.S. general and children's medical-surgical hospitals were surveyed using a mixed-mode method. IMS Health supplied data on hospital characteristics; the survey sample was drawn from IMS's hospital database. The survey response rate was 22.7%. Since the 2000 survey, the proportion of hospitals reporting that pharmacists monitor at least 75% of patients has increased from 20.3% to 57.8%. The use of therapeutic drug monitoring has increased from 63.0% to 70.6% since the 2012 survey. The percentage of hospitals reporting that pharmacists have primary responsibility for discharge counseling has increased from 1.2% to 7.3% since the 2012 survey, with 33.8% of hospitals reporting pharmacist counseling of at-risk patients. Virtually all hospitals (97.5%) have partially or completely implemented electronic health records; most have computerized prescriber-order-entry (84.1%) and barcode-assisted medication administration (93.7%) systems. At an increasing percentage of hospitals (86.2% in the 2015 survey), medication orders are reviewed by a pharmacist before a dose is made available and administered to a patient. The role of pharmacists in measuring, monitoring, and managing medication use in health systems continues to be significant, important, and growing. The evolution of electronic health information and technologies that make this information more readily available to patients is transforming healthcare in a positive way and enabling pharmacists to more efficiently contribute to improving medication use.

ASHP national survey of pharmacy practice in hospital settings: Prescribing and transcribing-2013.

The results of the 2013 ASHP national survey of pharmacy practice in U.S. hospital settings are presented. A stratified random sample of pharmacy directors at 1433 general and children's medical-surgical hospitals was surveyed by mail. IMS Health supplied data on hospital characteristics; the survey sample was drawn from IMS's hospital database. In this national probability sample survey, the response rate was 28.9%. Drug policies developed by pharmacy and therapeutics committees continue to be an important strategy for improving prescribing. Strict formulary systems were maintained in 60.4% of hospitals, and 77% used clinical practice guidelines that included medications. Direct clinical services by pharmacists are becoming a more important way to identify and resolve medication-related problems with prescribing. Therapeutic interchange policies were used in 87.2% of hospitals, and pharmacist consultation to improve prescribing was common. Pharmacists most commonly provided consultations to prescribers for dosage adjustment (98.3%), drug information (93.2%), recommendations for antibiotic therapy (91.7%), and pharmacokinetics (91.5%). Electronic health records (EHRs) have been implemented partially or completely in most hospitals (92.6%). Computer prescriber-order-entry systems with clinical decision support were used in 65.2% of hospitals, 80% had barcode-assisted medication administration systems, 80.8% had smart infusion pumps, and 93.9% had electronic medication administration records. EHRs were used in 60.7% of outpatient clinics, with electronic prescribing to outpatient pharmacies used in 59.6% of hospitals. Pharmacists practiced in 27.1% of hospital ambulatory or primary care clinics, which is an increase from 18.1% compared with 2010. The most common service offered by pharmacists to outpatients was anticoagulation management (63.5%). The percentage of hospitals using performance metrics increased from 58.7% in 2010 to 68.7%. Pharmacists continue to expand their role in improving the prescribing of medications in both the hospital and outpatient settings. The adoption of EHRs and medication-use technologies has contributed to this growth.

Impact of interventions designed to reduce medication administration errors in hospitals: a systematic review.

There is a need to identify effective interventions to minimize the threat posed by medication administration errors (MAEs). Our objective was to review and critically appraise interventions designed to reduce MAEs in the hospital setting. Ten electronic databases were searched between 1985 and November 2013. Randomized controlled trials (RCTs) and controlled trials (CTs) reporting rates of MAEs or related adverse drug events between an intervention group and a comparator group were included. Data from each study were independently extracted and assessed for potential risk of bias by two authors. Risk ratios (RRs, with 95% confidence intervals [CIs]) were used to examine the effect of an intervention. Six RCTs and seven CTs were included. Types of interventions clustered around four main themes: medication use technology (n=4); nurse education and training (n=3); changing practice in anesthesia (n=2); and ward system changes (n=4). Reductions in MAE rates were reported by five studies; these included automated drug dispensing (RR 0.72, 95% CI 0.53-1.00), computerized physician order entry (RR 0.51, 95 % 0.40-0.66), barcode-assisted medication administration with electronic administration records (RR 0.71, 95 % CI 0.53-0.95), nursing education/training using simulation (RR 0.17, 95 % CI 0.08-0.38), and clinical pharmacist-led training (RR 0.76, 95 % CI 0.67-0.87). Increased or equivocal outcome rates were found for the remaining studies. Weaknesses in the internal or external validity were apparent for most included studies. Theses and conference proceedings were excluded and data produced outside commercial publishing were not searched. There is emerging evidence of the impact of specific interventions to reduce MAEs in hospitals, which warrant further investigation using rigorous and standardized study designs. Theory-driven efforts to understand the underlying causes of MAEs may lead to more effective interventions in the future.