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Purpose Due to the low specificity of drug-drug interaction (DDI) warnings, hospitals and healthcare systems would benefit from the ability to customize alerts, thereby reducing the burden of alerts while simultaneously preventing harm. We developed a tool, called the Drug Interaction Customization Editor (DICE), as a prototype to identify features and functionality that could assist healthcare organizations in customizing DDI alerts. Methods A team of pharmacists, physicians, and DDI experts identified attributes expected to be useful for filtering DDI warnings. A survey was sent to pharmacists with informatics responsibilities and other medication safety committee members to obtain their opinions about the tool. The survey asked participants to evaluate the 4 sections of the DICE tool (General, Medication, Patient, and Visit) on a scale ranging from 0 (not useful) to 100 (very useful). The survey provided an opportunity for participants to express their opinions on the overall usefulness of the DICE tool and to provide other comments. Results The 50 survey respondents were mainly pharmacists (n = 47, 94%) with almost half (n = 23, 47%) having health information technology/informatics training. Most respondents (n = 33, 80%) were employed by organizations with over 350 beds. Respondents indicated the most useful features of the DICE tool were the ability to filter DDI warnings based on routes of administrations (mean [SD] rating scale score, 86.5 [21.6]), primary drug properties (85.7 [20.5]), patient attributes (85.6 [16.7]) and laboratory attributes (88.8 [18.0]). The overall impression of the DICE tool was rated at 82.8 (19.0), and when asked about the potential to reduce DDI alerts, respondents rated the tool at 83.7 (21.8). Conclusion The ability to customize DDI alerts using data elements currently within the electronic health records (EHRs) has the potential to decrease alert fatigue and override rates. This prototype DICE tool could be used by end users and vendors as a template for developing a more advanced DDI filtering tool within EHR systems. [ABSTRACT FROM AUTHOR]

Administering medications to patients with documented drug hypersensitivity reactions (DHR) poses a significant risk for adverse events, ranging from mild reactions to life-threatening incidents. Electronic healthcare systems have revolutionized the modern clinical decision-making process, with built in warnings. However, as these alerts become a routine part of healthcare provider's workflow, alert fatigue becomes a challenge. This study was conducted within the Ministry of National Guard Health Affairs (MNGHA), a government healthcare system in Saudi Arabia. A taskforce of experts was formed to develop an electronic path that would prevent unintentional overrides of severe drug allergy alerts. The system underwent rigorous testing, and monitoring parameters were established. We outline the implementation of a system upgrade designed to trigger an alternative interruption in the computerized physician order entry (CPOE) process, distinct from the regular allergy pop-up alerts. The alternate path is activated upon a CPOE with a drug-to-drug match and a documented severe drug allergy symptom, necessitating co-signature form another prescriber before proceeding. The adopted upgrade is a proactive approach to enhance medication safety in electronic healthcare systems, ensuring that serious allergy-related warnings are not overridden, ultimately enhancing patient safety. Further monitoring will confirm the safety and effectiveness of this measure. This study provides a model for institutions seeking to prevent allergy-related harm within their patient population. [ABSTRACT FROM AUTHOR]

Purpose This article identifies, prioritizes, and summarizes published literature on the medication-use process (MUP) from calendar year 2022 that can impact health-system pharmacy daily practice. The MUP is the foundational system that provides the framework for safe medication utilization within the healthcare environment. The MUP is defined in this article as having the following components: prescribing/transcribing, dispensing, administration, and monitoring. Articles evaluating at least one step of the MUP were assessed for their usefulness toward practice improvement. Summary A PubMed search was conducted in January 2023 for articles published in calendar year 2022 using targeted Medical Subject Headings (MeSH) keywords, and searches of the table of contents of selected pharmacy journals were conducted, providing a total of 6,213 articles. A thorough review identified 69 potentially practice-enhancing articles: 13 for prescribing/transcribing, 13 for dispensing, 5 for administration, and 38 for monitoring. Practice trends discussed in the articles are briefly summarized, with a mention of their importance within health-system pharmacy. The articles are listed and summarized in tables for further review and evaluation. Conclusion It is important to routinely review the published literature and to incorporate significant findings into daily practice. This article assists in identifying and summarizing the most impactful publications. Health-system pharmacists have an active role in improving the MUP in their institution, and awareness of the significant published studies can assist in changing practice at the institutional level. [ABSTRACT FROM AUTHOR]

Background: Frailty is independently associated with adverse patient outcomes after surgery. The current standards of postoperative care rarely consider frailty status. Local Problem: There was no standardized protocol to optimize specialized postoperative care for frail patients at an academic medical center. Methods: A quasi-experimental pre-/postimplementation study design, using the Reach, Effectiveness, Adoption, Implementation, Maintenance implementation framework, was utilized. Interventions: A frailty-specific postoperative order set (FPOS) was developed, including tailored nursing care, activity levels, and nutritional goals. Results: There were significant improvements in nurse's self-reported familiarity with frailty (P = .003) and FPOS awareness (P < .001). The number of orders for delirium prevention, elimination, nutrition, sleep promotion, and sensory support increased (P < .001). Conclusions: Implementing an FPOS showed improvements in nurse frailty knowledge, awareness, and order set utilization. [ABSTRACT FROM AUTHOR]

Purpose American College of Cardiology/American Heart Association guidelines recommend high-intensity statin therapy and consideration for nonstatin therapy for patients with peripheral vascular disease (PVD); however, utilization rates remain suboptimal. The primary objective of this study was to determine whether pharmacist intervention for patients with PVD could improve the percentage of patients discharged on a high-intensity statin. Methods The study used a single-center pre/post design and included patients with PVD who underwent peripheral bypass during their admission. Postintervention patients managed with an order set including a preselected consult for a pharmacy lipid protocol were compared to preintervention patients managed using the order set without the consult. The primary outcome was the percentage of patients discharged on a high-intensity statin. Secondary outcomes included intensification of statin therapy, the addition of ezetimibe, and referral to an outpatient lipid clinic. Results A total of 175 patients were included in the analysis, with 94 patients in the preintervention group and 81 patients in the postintervention group. The primary outcome met statistical significance, with an increase in the percentage of patients discharged on a high-intensity statin in the postintervention group (70.4%) compared to the preintervention group (38.3%) (P < 0.001; 95% confidence interval, 1.37-2.46). Secondary outcomes that met statistical significance included an increase in the percentage of patients with any increase in statin intensity (35.8% vs 20.2%; P = 0.02). Conclusion The addition of a pharmacist consult led to an increase in the percentage of patients discharged on a high-intensity statin and an increase in overall statin intensification. [ABSTRACT FROM AUTHOR]

Background: Firearm purchasing records offer a potentially important administrative data source to identify individuals at elevated risk of perpetrating firearm violence. In this study, we describe individual, firearm, and transaction characteristics of purchasers in California who were arrested for a firearm-related violent crime (FRV) as compared to the general population of registered purchasers in the state. Methods: Relying on a dataset of all individuals with transaction records in California (1996–2021), linked to criminal records (1980–2021), we enrolled a cohort of individuals for whom we could capture the legal firearm purchase history. We identified those arrested for FRV post purchase, and using incidence density sampling, gender-matched cases to ten purchasers (controls) who remained "at risk" at the time the case was arrested. We focused on the purchase closest in time prior to the arrest ("index" purchase). We implemented conditional logistic regression and included models with controls for individual- and community-level demographics, as well as interactions between firearm and purchasing characteristics and criminal history. Results: The cohort included 1,212,144 individuals, of whom 6153 were arrested for FRV (0.5%). Cases were matched to 61,530 controls to form the study sample. The largest risk factor was a prior criminal history: purchasers had 5.84 times the risk of FRV if they had a prior arrest within three years of the index purchase (CI 5.44–6.27). Several transaction and firearm characteristics were also associated with FRV. For example, risk increased if the firearm was redeemed at a pawn shop (aIRR: 1.37, CI 1.05–1.77) and decreased if the transaction was a registered private party transfer (vs. retail purchase) (aIRR: 0.83, CI 0.76–0.90) or the firearm was a bolt action firearm (vs. semi-automatic) (aIRR: 0.64, CI 0.51–0.79). In the interaction models, most of the purchase and firearm features only remained significant among those with no criminal history. Conclusions: Given limited data on firearm transactions, there has been little research on whether the type of firearm an individual purchases or the nature of the purchase might serve as indicators of risk for FRV. We found several transaction and firearm features were associated with risk of FRV. Notably, these features provided little evidence of additional risk for those with a prior criminal record. [ABSTRACT FROM AUTHOR]

Objective: The aim of this study is to determine if supervised machine learning algorithms can accurately predict voided computerized physician order entry in oral and maxillofacial surgery inpatients. Methods: Data from Electronic Medical Record included patient demographics, comorbidities, procedures, vital signs, laboratory values, and medication orders were retrospectively collected. Predictor variables included patient demographics, comorbidities, procedures, vital signs, and laboratory values. Outcome of interest is if a medication order was voided or not. Data was cleaned and processed using Microsoft Excel and Python v3.12. Gradient Boosted Decision Trees, Random Forest, K-Nearest Neighbor, and Naïve Bayes were trained, validated, and tested for accuracy of the prediction of voided medication orders. Results: 37,493 medication orders from 1,204 patient admissions over 5 years were used for this study. 3,892 (10.4%) medication orders were voided. Gradient Boosted Decision Trees, Random Forest, K-Nearest Neighbor, and Naïve Bayes had an Area Under the Receiver Operating Curve of 0.802 with 95% CI [0.787, 0.825], 0.746 with 95% CI [0.722, 0.765], 0.685 with 95% CI [0.667, 0.699], and 0.505 with 95% CI [0.489, 0.539], respectively. Area Under the Precision Recall Curve was 0.684 with 95% CI [0.679, 0.702], 0.647 with 95% CI [0.638, 0.664], 0.429 with 95% CI [0.417, 0.434], and 0.551 with 95% CI [0.551, 0.552], respectively. Conclusion: Gradient Boosted Decision Trees was the best performing model of the supervised machine learning algorithms with satisfactory outcomes in the test cohort for predicting voided Computerized Physician Order Entry in Oral and Maxillofacial Surgery inpatients. [ABSTRACT FROM AUTHOR]

Background: With hospital electronic prescribing and medicines administration (HEPMA) systems now in widespread use across hospital inpatient clinical services, work is underway to measure the benefits of HEPMA on healthcare systems and patient care. HEPMA functionality enables users to prescribe medicines by 'bundle' or 'protocol'. Although it is assumed that this is a significant system benefit, there are few qualitative studies supporting this conclusion. Aim: To explore the impact of an electronic anticipatory care medicines protocol on junior doctor perceptions of their confidence and competence to prescribe opioids and midazolam for patients at the end of life. Method: Between May and August 2022, one-to-one semi-structured interviews were conducted at a 570-bed District General Hospital with junior doctors who had experience of prescribing on both HEPMA and paper-based systems. Audio recordings of the interviews were transcribed verbatim and underwent thematic analysis. Results: Ten junior doctors participated (median age 23 years). Analysis generated five main themes that described perceptions and attitudes towards confidence and competence. These were prescribing safety benefits; information technology infrastructure, interoperability and system design concerns; clinical knowledge and training needs; cultural and social factors and risks of automation in prescribing. Conclusion: This study suggests that junior doctors experienced an overall increase in their confidence and perceived competence to prescribe anticipatory medicines post-implementation of a HEPMA protocol. Further studies are required to detail the impact of HEPMA/CPOE protocols on clinical practice. [ABSTRACT FROM AUTHOR]

Background: Infective endocarditis (IE) is a potentially life-threatening infection that affects the inner lining of the heart, particularly the heart valves. Patients with preexisting heart conditions, damaged heart valves, or a history of intravenous drug use are at a higher risk of acquiring IE. Local problem: A rural acute care facility reported that 68.75% of patients who had a methicillin-resistant Staphylococcus aureus infection were diagnosed with IE. Review of medical records showed that 65% of patients with IE did not have antibiotic start/stop dates and 51% were discharged before the 6-week completion date. Methods: The quality-improvement project used a pretest and posttest design. An order set was created based on evidence-based guidelines to assist with the management of patients with IE. The order set included administering intravenous (IV) antibiotics for a minimum of 6 weeks for patients with IE and included a set of recommended weekly follow-up laboratory tests. Interventions: An order set with the standard of care and reminders in the electronic health records (EHRs) were implemented for the management of IE, including antibiotic start and stop dates and weekly follow-up labs. Results: After implementation, there was an improvement in the completion of IV antibiotics, documentation of start/stop dates for IV antibiotics, and completion of recommended laboratory tests. Conclusions: An order set with the standard of care and reminders in the EHR reduced variations in care and improved patient outcomes by ensuring that all providers were following the same evidence-based guidelines for the management of IE. [ABSTRACT FROM AUTHOR]

Background: Withdrawal of life-sustaining treatment (WLST) is a process with unique pressure for all involved. The use of an electronic order set can facilitate best care. Objective: To assess utilization of a WLST order set and time to inpatient death before and after optimization. Design: A retrospective chart review for 12-month periods before and after enhancements to a WLST order set. Setting/Subjects: Multicenter study within an American, not-for-profit health care system of inpatient decedents July 2017–June 2018 and April 2021–March 2022 with orders placed via WLST order set. Measurements: Co-primary outcomes included order set utilization and time from activation of orders to patient death. Descriptive post hoc analyses featured demographics, palliative consultation, ordering clinician type/specialty, and COVID-19. Results: A total of 1949 patients had orders placed via the WLST order set and died in-hospital. Compared with the 2017–2018 period, use increased 35.8% in 2021–2022. Time to death after release of orders was significantly longer for the 2021–2022 group (4.4 vs. 3.7 hours). Demographic details included nurse practitioners (39%) as most frequent WLST order set utilizer and palliative consultation in 46% of terminal hospitalizations. Among decedents with consultation, palliative clinicians were the WLST order set utilizer for 47% of cases (i.e., 21% of all WLST order set utilizations). The median time to death was significantly longer when orders were placed by a palliative clinician (4.5 hours) compared with nonpalliative specialists (3.9 hours). COVID-19 was a hospital diagnosis for 29% of decedents in the 2021–2022 group. Conclusions: In the emotionally and cognitively intense process that is WLST, an order set provides a modifiable panel of defaults. Our experience highlights the power in guiding primary palliative care for WLST in the hospital setting and suggests that advanced practice providers and nonpalliative clinicians, as primary utilizers, be integral in the design of a WLST order set. [ABSTRACT FROM AUTHOR]

This article describes a program through which interactions every 2–3 weeks between patients and primary care clinicians (PCCs), with recommendations based on analysis of remote glucose monitoring by computerized insulin dose adjustment algorithms, significantly improved diabetes control. Insulin doses increased by 30% in the majority of patients. A sizeable minority (36%) had a decrease or no increase in insulin doses, but still showed an improvement in diabetes control. Frequent interactions allowed PCCs the opportunity to recognize and address medication nonadherence. [ABSTRACT FROM AUTHOR]

Objective: This scoping review aims to map the available literature and provide an overview of the published articles discussing the impact of electronic prescribing on medication errors and pharmacy workflow. Methods: The literature search was conducted using PubMed®, Web of Science®, and the Cochrane Database of Systematic Reviews®, as well as grey literature reports, using the search terms and related components of "pharmacists", "electronic prescribing", "medication errors", and "efficiency". The search included all articles that were published from January 2011 to September 2023. Twenty-two relevant articles were identified and fully reviewed, ten of which were included in this review. Results: Electronic prescribing (e-prescribing) provides a solution for some of the challenges that are associated with handwritten and paper prescriptions. However, the implementation of e-prescribing systems has been recognized as a source of new unforeseen medication errors in all the reviewed articles. Productivity in community pharmacies has been affected with receiving electronic prescriptions (e-prescriptions) and having to deal with the issues that arise from them. The pharmacists' interventions were not eliminated with e-prescriptions compared to other prescription formats. The most frequently reported reason for intervention was related to incomplete instructions in the field of directions of use. Other common challenges with e-prescriptions were related to missing information, quantity, inappropriate dose, dosage form, and drug. Discussion: This review demonstrates the scarcity of research about the impact of electronic prescribing on medication error and efficiency in community pharmacies. In the literature, most of the studies had mainly focused on hospital pharmacies. The literature search demonstrated that there are still some barriers to overcome with e-prescribing systems and that medication errors were not fully eliminated with e-prescriptions. New errors have been identified with e-prescriptions, all of which caused delays in processing, which affected the productivity of the pharmacy staff, and could have negatively impacted patients' safety if not properly resolved. Conclusion: e-Prescribing solved some of the challenges associated with illegibility of handwritten prescriptions. However, more time is required to allow e-prescribing systems to mature. Further training for prescribers and pharmacists is also recommended before and after the implementation. [ABSTRACT FROM AUTHOR]

Transition to the postanesthesia care unit (PACU) requires timely order placement by anesthesia providers. Computerized ordering enables automated order reminder systems, but their value is not fully understood. We performed a single-center, retrospective cohort study to estimate the association between automated PACU order reminders and primary outcomes (1) on-time order placement and (2) the degree of delay in placement. As a secondary post-hoc analysis, we studied the association between late order placement and PACU outcomes. We included patients with a qualifying postprocedure order from January 1, 2019, to May 31, 2023. We excluded cases transferred directly to the ICU, whose anesthesia provider was involved in the pilot testing of the reminder system, or those with missing covariate data. Order reminder system usage was defined by the primary attending anesthesiologist's receipt of a push notification reminder on the day of surgery. We estimated the association between reminder system usage and timely order placement using a logistic regression. For patients with late orders, we performed a survival analysis of order placement. The significance level was 0.05. Patient (e.g., age, race), procedural (e.g., anesthesia duration), and provider-based (e.g., ordering privileges) variables were used as covariates within the analyses. Reminders were associated with 51% increased odds of order placement prior to PACU admission (Odds Ratio: 1.51; 95% Confidence Interval: 1.43, 1.58; p ≤ 0.001), reducing the incidence of late PACU orders from 17.5% to 12.6% (p ≤ 0.001). In patients with late orders, the reminders were associated with 10% quicker placement (Hazard Ratio: 1.10; 95% CI 1.05, 1.15; p < 0.001). On-time order placement was associated with decreased PACU duration (p < 0.001), decreased odds of peak PACU pain score (p < 0.001), and decreased odds of multiple administration of antiemetics (p = 0.02). An order reminder system was associated with an increase in order placement prior to PACU arrival and a reduction in delay in order placement after arrival. [ABSTRACT FROM AUTHOR]

The article discusses the implementation and assessment of an electronic order set for withdrawal of life-sustaining treatment at OhioHealth, aiming to increase awareness and comfort among clinicians.

Saskia Herrmann,1,2 Jana Giesel-Gerstmeier,1 Annika Demuth,1 Dominic Fenske1 1Hospital Pharmacy, Helios Kliniken Gmbh, Berlin, Berlin, Germany; 2Department of Pharmaceutical/Medicinal Chemistry, Institute of Pharmacy, Friedrich Schiller University Jena, Jena, Thuringia, GermanyCorrespondence: Dominic Fenske, Krankenhausapotheke, Helios Klinikum Erfurt, Nordhäuser Straße 74, 99089, Erfurt, Thuringia, Germany, Tel +49 361 781 71100, Fax +49 361 781 71105, Email dominic.fenske@helios-gesundheit.dePurpose: Computerized physician order entry (CPOE) and clinical decision support systems (CDSS) are used internationally since the 1980s. These systems reduce costs, enhance drug therapy safety, and improve quality of care. A few years ago, there was a growing effort to digitize the healthcare sector in Germany. Implementing such systems like CPOE-CDSS requires training for effective adoption and, more important, acceptance by the users. Potential improvements for the software and implementation process can be derived from the users’ perspective. The implementation process is globally relevant and applicable across professions due to the constant advancement of digitalization. The study assessed the implementation of medication software and overall satisfaction.Methods: In an anonymous voluntary online survey, physicians and nursing staff were asked about their satisfaction with the new CPOE-CDSS. The survey comprised single-choice queries on a Likert scale, categorizing into general information, digital medication administration, drug safety, and software introduction. In addition multiple-choice questions are mentioned. Data analysis was performed using Microsoft Office Excel 2016 and GraphPad PRISM 9.5.0.Results: Nurses and physicians’ satisfaction with the new software increased with usage hours. The software’s performance and loading times have clearly had a negative impact, which leads to a low satisfaction of only 20% among physicians and 17% among nurses. 53% of nurses find the program’s training period unsuitable for their daily use, while 57% of physicians approve the training’s scope for their professional group. Both professions agree that drug-related problems are easier to detect using CPOE-CDSS, with 76% of nurses and 75% of physicians agreeing. The study provides unbiased feedback on software implementation.Conclusion: In conclusion, digitizing healthcare requires managing change, effective training, and addressing software functionality concerns to ensure improved medication safety and streamlined processes. Interfaces, performance optimization, and training remain crucial for software acceptance and effectiveness.Keywords: computerized physician order entry, clinical decision support system, change management, feedback, electronic prescribing

Background. Electronic-prescribing (e-prescribing) is the most recent technological advancement in the medication use process. Its adoption and consequent realization of its potential benefits, however, mainly depend on the healthcare professionals' perception, willingness to accept, and engagement with the technology. Objectives. This study is aimed at assessing the perception of healthcare professionals towards e-prescribing at the University of Gondar Comprehensive Specialized Hospital, Northwest Ethiopia, from June 1 to August 30, 2021. Method. A cross-sectional study was conducted using a simple random sampling technique. A self-administered questionnaire was used for data collection. Data were entered into and analyzed by using the Statistical Package for the Social Sciences (SPSS® (IBM Corporation)) version 24. Both descriptive and inferential statistics like the Kruskal-Wallis and Mann–Whitney tests were used for data analysis. A statistical significance was declared at a p value < 0.05. Result. From 401 participants, the majority of study participants had a neutral perception of e-prescribing. More than two-thirds (68.8%) of them had a neutral perception towards the perceived usefulness of e-prescribing with a median (interquartile range (IQR)) perceived usefulness of 43.0 (7.0) (maximum score = 60). The perceived ease of use of e-prescribing was also neutral in the case of more than three-fourths (79.8%) of participants with a median (IQR) perceived ease of use of 49.0 (6) (maximum score = 75). Similarly, more than half (56.6%) of the participants had a neutral perception towards the perceived fitness of e-prescribing with a median (IQR) perceived fitness of 15.0 (2.5) (maximum score = 15). The perception of the participants showed a significant difference based on their qualifications and work and computer use experience. Participants who heard about e-prescribing and e-prescribing software had a significantly higher mean rank score of perceived usefulness, perceived ease of use, and perceived fitness of e-prescribing. Participants who previously used e-prescribing had also a significantly higher mean rank score of perceived usefulness. Conclusion and Recommendation. The majority of healthcare professionals had a neutral perception of e-prescribing. The perception of healthcare professionals differs based on their qualifications, work and computer use experience, and their exposure to e-prescribing. The hospital should take all expectations and concerns of all HCPs into consideration and provide experience-sharing opportunities for all healthcare professionals who may potentially be involved in e-prescribing. [ABSTRACT FROM AUTHOR]

Introduction: Documentation as well as IT-based management of medical data is of ever-increasing relevance in modern medicine. As radiation oncology is a rather technical, data-driven discipline, standardization, and data exchange are in principle possible. We examined electronic healthcare documents to extract structured information. Planning CT order entry documents were chosen for the analysis, as this covers a common and structured step in radiation oncology, for which standardized documentation may be achieved. The aim was to examine the extent to which relevant information may be exchanged among different institutions. Materials and Methods: We contacted representatives of nine radiation oncology departments. Departments using standardized electronic documentation for planning CT were asked to provide templates of their records, which were analyzed in terms of form and content. Structured information was extracted by identifying definite common data elements, containing explicit information. Relevant common data elements were identified and classified. A quantitative analysis was performed to evaluate the possibility of data exchange. Results: We received data of seven documents that were heterogeneous regarding form and content. 181 definite common data elements considered relevant for the planning CT were identified and assorted into five semantic groups. 139 data elements (76.8%) were present in only one document. The other 42 data elements were present in two to six documents, while none was shared among all seven documents. Conclusion: Structured and interoperable documentation of medical information can be achieved using common data elements. Our analysis showed that a lot of information recorded with healthcare documents can be presented with this approach. Yet, in the analyzed cohort of planning CT order entries, only a few common data elements were shared among the majority of documents. A common vocabulary and consensus upon relevant information is required to promote interoperability and standardization. [ABSTRACT FROM AUTHOR]

Background: The Institute for Safe Medication Practice (ISMP) suggests that patient safety reports be addressed with systematic, fail-safe, actions to prevent error recurrence. ISMP's hierarchy of effectiveness of risk reduction strategies places education-related interventions as the least effective and fail-safes at the top. UNM Hospitals creates a positive environment for safety reporting, but often we are limited to education interventions due to resource and technology constraints. This study analyzes the intervention potential and quality of pharmacy-related medication safety reports. Methods: One thousand medication-related safety reports from selected time points between 2012 and 2022 were selected. Safety reports were included in our study if they were actionable by the pharmacy department. Each safety report was categorized by type of safety event and given an intervention potential score of 1 to 10 (1 indicating education-only, 10 being forcing function) by 2 student pharmacists and 1 pharmacy director based on their potential place on ISMP's hierarchy. Safety report quality was graded based on professionalism, organization, clarity, and completeness. A standardized evaluation form was used for evaluation for all elements. Results: Six-hundred-sixty-five safety reports were pharmacy-related and evaluated by all 3 study team members for analysis. The 3 most common pharmacy-related safety reports were medication delivery, inappropriate order verification, and transcribing errors which accounted for over half of the reports (59.5%) and on average the intervention potential score of these types of safety reports was education only. Overall, safety reports were limited to a maximum actionability of education-only 75.4% of the time. Safety reports were found to be professionally written and well organized. Conclusion: The actionability of most pharmacy-related medication safety reports was limited to low leverage interventions likely because high leverage solutions were addressed with systematic change and did not recur. Errors limited to education interventions repeated and this increased relative counts of low leverage actionability of safety reports. The ISMP hierarchy of effectiveness of risk-reduction strategies is an important guide to intervening in medication-related safety events, but pharmacy staff should not be discouraged if most of the safety reports cannot be addressed through high-leverage interventions. [ABSTRACT FROM AUTHOR]

The healthcare industry is always susceptible to diverse changes and technology advancements. This mandates that the sector updates its skill set that can help in complying with compliance and regulatory requirements. COVID-19 has added to the complexity by bringing in changes in the working environment, healthcare professionals' perceptions and patients' expectations. It has clearly shown that digital technologies are rapidly revolutionising healthcare and also having an impact on human resources. Talent management in the changing scenario is a must for all organisations looking towards resilience, sustainability and gaining a competitive advantage over others. Purpose: The purpose of the current study is to explore the factors that have influenced healthcare talent management during the pandemic, identify the challenges and put forth a strategy for post-pandemic talent management. Design/Methodology/Approach: A literature-based search for identifying articles related to talent management in healthcare during the pandemic, the challenges and lessons learned has been carried out. Findings: Based on the findings, it is suggested that while traditional ways of human resource planning are still applicable, it is imperative that digital tools be utilised for all activities especially talent management. Digital tools such as electronic medical records, telemedicine, computerised physician order entry systems are becoming an inbuilt culture in healthcare. So, while selecting, developing and retaining talent, the existence of digital skill set, capability to work with the tools or learn and adopt should be considered as a mandatory requirement. [ABSTRACT FROM AUTHOR]

Having a basic knowledge of how nursing homes procure and administer medications can help you ensure your patients get theirs on time. [ABSTRACT FROM AUTHOR]

Abstract Background Clostridioides difficile infection (CDI) is associated with considerable morbidity and mortality in hospitalized patients, especially among older adults. Probiotics have been evaluated to prevent hospital-acquired (HA) CDI in patients who are receiving systemic antibiotics, but the implementation of timely probiotic administration remains a challenge. We evaluated methods for effective probiotic implementation across a large health region as part of a study to assess the real-world effectiveness of a probiotic to prevent HA-CDI (Prevent CDI-55 +). Methods We used a stepped-wedge cluster-randomized controlled trial across four acute-care adult hospitals (n = 2,490 beds) to implement the use of the probiotic Bio-K + ® (Lactobacillus acidophilus CL1285®, L. casei LBC80R® and L. rhamnosus CLR2®; Laval, Quebec, Canada) in patients 55 years and older receiving systemic antimicrobials. The multifaceted probiotic implementation strategy included electronic clinical decision support, local site champions, and both health care provider and patient educational interventions. Focus groups were conducted during study implementation to identify ongoing barriers and facilitators to probiotic implementation, guiding needed adaptations of the implementation strategy. Focus groups were thematically analyzed using the Theoretical Domains Framework and the Consolidated Framework of Implementation Research. Results A total of 340 education sessions with over 1,800 key partners and participants occurred before and during implementation in each of the four hospitals. Site champions were identified for each included hospital, and both electronic clinical decision support and printed educational resources were available to health care providers and patients. A total of 15 individuals participated in 2 focus group and 7 interviews. Key barriers identified from the focus groups resulted in adaptation of the electronic clinical decision support and the addition of nursing education related to probiotic administration. As a result of modifying implementation strategies for identified behaviour change barriers, probiotic adherence rates were from 66.7 to 75.8% at 72 h of starting antibiotic therapy across the four participating acute care hospitals. Conclusions Use of a barrier-targeted multifaceted approach, including electronic clinical decision support, education, focus groups to guide the adaptation of the implementation plan, and local site champions, resulted in a high probiotic adherence rate in the Prevent CDI-55 + study.

Study Objective: A pharmacy practice model for an Advanced Heart Failure (HF)/Transplant program was designed to address gaps in medication access, medication education and transitions of care (ToC). Activities specific to these initiatives performed by a four-member pharmacy team (3 pharmacists, 1 specialty technician) are described. Methods: Data were prospectively collected in 2020 for 284 admissions involving a high-risk cohort of advanced HF/transplant patients and a similar cohort seen in an ambulatory HF clinic. Interventions including medication reconciliation, e-prescribing, patient consultation and telephone call backs were performed daily to ensure medication access on discharge and as outpatients, comprehensive medication education on a continuum, and improved ToC. Metrics specific to these interventions and revenue reflecting outpatient prescription volume were quantified. Results: Standardized discharge medication education was provided to 97% of the cohort (n = 275). Of the 51 patients newly transplanted or receiving a left ventricular assist device, 100% had medication access on discharge and received follow-up telephone consultation within 48 hours. ToC was performed on admission (97%), pre-operatively (n = 51; 100%), post-operatively (n = 51; 100%) and on discharge (97%). Outpatient prescription volume increased 42% with net revenue increasing 157%. Conclusion: A pharmacy practice model involving an integrated 4-member team improved medication access and education and allowed for ToC at multiple points in the care process thereby improving medication safety. Collaboration between pharmacists and technicians working in inpatient, outpatient and specialty pharmacy settings is encouraged to provide complementary care to high-risk patients. [ABSTRACT FROM AUTHOR]

Aim: Medicines non-adherence is associated with poorer outcomes and higher costs. COVID-19 affected access to healthcare, with increased reliance on remote methods, including medicines supply. This study aimed to identify what affected people's adherence to medicines for long-term conditions (LTCs) during the pandemic. Subject and methods: Cross-sectional online survey of UK adults prescribed medicines for LTCs assessing self-reported medicines adherence, reasons for non-adherence (using the capability, opportunity and motivation model of behaviour [COM-B]), medicines access and COVID-19-related behaviours. Results: The 1746 respondents reported a mean (SD) of 2.5 (1.9) LTCs, for which they were taking 2.4 (1.9) prescribed medicines, 525 (30.1%) reported using digital tools to support ordering or taking medicines and 22.6% reported medicines non-adherence. No access to at least one medicine was reported by 182 (10.4%) respondents; 1048 (60.0%) reported taking at least one non-prescription medicine as a substitute; 409 (23.4%) requested emergency supply from pharmacy for at least one medicine. Problems accessing medicines, being younger, male, in the highest socioeconomic group and working were linked to poorer adherence. Access problems were mostly directly or indirectly related to the COVID-19 pandemic. Respondents were generally lacking in capabilities and opportunities, but disruptions to habits (automatic motivation) was the major reason for non-adherence. Conclusion: Navigating changes in how medicines were accessed, and disruption of habits during the COVID-19 pandemic, was associated with suboptimal adherence. People were resourceful in overcoming barriers to access. Solutions to support medicines-taking need to take account of the multiple ways that medicines are prescribed and supplied remotely. [ABSTRACT FROM AUTHOR]

Studying near-miss errors is essential to preventing errors from reaching patients. When an error is committed, it may be intercepted (near-miss) or it will reach the patient; estimates of the proportion that reach the patient vary widely. To better understand this relationship, we conducted a retrospective cohort study using two objective measures to identify wrong-patient imaging order errors involving radiation, estimating the proportion of errors that are intercepted and those that reach the patient. This study was conducted at a large integrated healthcare system using data from 1 January to 31 December 2019. The study used two outcome measures of wrong-patient orders: (1) wrong-patient orders that led to misadministration of radiation reported to the New York Patient Occurrence Reporting and Tracking System (NYPORTS) (misadministration events); and (2) wrong-patient orders identified by the Wrong-Patient Retract-and-Reorder (RAR) measure, a measure identifying orders placed for a patient, retracted and rapidly reordered by the same clinician on a different patient (near-miss events). All imaging orders that involved radiation were extracted retrospectively from the healthcare system data warehouse. Among 293 039 total eligible orders, 151 were wrong-patient orders (3 misadministration events, 148 near-miss events), for an overall rate of 51.5 per 100 000 imaging orders involving radiation placed on the wrong patient. Of all wrong-patient imaging order errors, 2% reached the patient, translating to 50 near-miss events for every 1 error that reached the patient. This proportion provides a more accurate and reliable estimate and reinforces the utility of systematic measure of near-miss errors as an outcome for preventative interventions. [ABSTRACT FROM AUTHOR]

Electronic Health Record (EHR) systems are often configured to address challenges and improve patient safety for persons with Parkinson's disease (PWP). For example, EHR systems can help identify Parkinson's disease (PD) patients across the hospital by flagging a patient's diagnosis in their chart, preventing errors in medication and dosing through the use of clinical decision support, and supplementing staff education through care plans that provide step-by-step road maps for disease-based care of a specific patient population. However, most EHR-based solutions are locally developed and, thus, difficult to scale widely or apply uniformly across hospital systems. In 2020, the Parkinson's Foundation, a national and international leader in PD research, education, and advocacy, and Epic, a leading EHR vendor with more than 35% market share in the United States, launched a partnership to reduce risks to hospitalized PWP using standardized EHR-based solutions. This article discusses that project which included leadership from physician informaticists, movement disorders specialists, hospital quality officers, the Parkinson's Foundation and members of the Parkinson's community. We describe the best practice solutions developed through this project. We highlight those that are currently available as standard defaults or options within the Epic EHR, discuss the successes and limitations of these solutions, and consider opportunities for scalability in environments beyond a single EHR vendor. The Parkinson's Foundation and Epic launched a partnership to develop best practice solutions in the Epic EHR system to improve safety for PWP in the hospital. The goal of the partnership was to create the EHR tools that will have the greatest impact on outcomes for hospitalized PWP. [ABSTRACT FROM AUTHOR]

Introduction: The integration of clinical oncology pharmacists into multidisciplinary healthcare teams is not well-described in the community practice setting. This study aims to analyze the clinical and financial impact of a remote-based clinical oncology pharmacist in four community oncology practices within The US Oncology Network. Methods: Oncology-trained clinical pharmacists electronically reviewed chemotherapy orders for clinical optimization and financial stewardship within four community oncology practices. Each pharmacist was appointed at 0.5 full-time equivalents per practice. Financial, clinical, and workload metrics were tracked to monitor the impact of pharmacist engagement. Results: Over 12 months, 5716 order reviews were completed with an intervention rate of 57%. The most common interventions identified by the pharmacists were interventions with clinical impact on the patient (36%), followed by dose rounding (35%) and therapeutic interchange (30%). Overall, interventions improved the cumulative practice margins by $1,455,033 and reduced total medication costs by $5,962,551. The average program return on investment was 415% (range 100–915%). Conclusion: Community oncology practices seek to provide high-value care in a lean, resource-constrained model. An oncology clinical pharmacist is a cost-effective and clinically invaluable care team member in community oncology practice. Pharmacists in this setting identified opportunities to improve medication safety and regimen optimization and demonstrated a significant tremendous financial impact on small-scale budgets in community oncology. [ABSTRACT FROM AUTHOR]

Background: Clostridioides difficile infection (CDI) is associated with considerable morbidity and mortality in hospitalized patients, especially among older adults. Probiotics have been evaluated to prevent hospital-acquired (HA) CDI in patients who are receiving systemic antibiotics, but the implementation of timely probiotic administration remains a challenge. We evaluated methods for effective probiotic implementation across a large health region as part of a study to assess the real-world effectiveness of a probiotic to prevent HA-CDI (Prevent CDI-55 +). Methods: We used a stepped-wedge cluster-randomized controlled trial across four acute-care adult hospitals (n = 2,490 beds) to implement the use of the probiotic Bio-K + ® (Lactobacillus acidophilus CL1285®, L. casei LBC80R® and L. rhamnosus CLR2®; Laval, Quebec, Canada) in patients 55 years and older receiving systemic antimicrobials. The multifaceted probiotic implementation strategy included electronic clinical decision support, local site champions, and both health care provider and patient educational interventions. Focus groups were conducted during study implementation to identify ongoing barriers and facilitators to probiotic implementation, guiding needed adaptations of the implementation strategy. Focus groups were thematically analyzed using the Theoretical Domains Framework and the Consolidated Framework of Implementation Research. Results: A total of 340 education sessions with over 1,800 key partners and participants occurred before and during implementation in each of the four hospitals. Site champions were identified for each included hospital, and both electronic clinical decision support and printed educational resources were available to health care providers and patients. A total of 15 individuals participated in 2 focus group and 7 interviews. Key barriers identified from the focus groups resulted in adaptation of the electronic clinical decision support and the addition of nursing education related to probiotic administration. As a result of modifying implementation strategies for identified behaviour change barriers, probiotic adherence rates were from 66.7 to 75.8% at 72 h of starting antibiotic therapy across the four participating acute care hospitals. Conclusions: Use of a barrier-targeted multifaceted approach, including electronic clinical decision support, education, focus groups to guide the adaptation of the implementation plan, and local site champions, resulted in a high probiotic adherence rate in the Prevent CDI-55 + study. [ABSTRACT FROM AUTHOR]

Medication errors are the third leading cause of death. There are several methods to prevent prescription errors, one of which is to use a Computerized Physician Order Entry system (CPOE). In a CPOE system, necessary data needs to be collected so that making decisions about prescribing medications and treatment plans could be made. Although many CPOE systems have been developed worldwide, studies have yet to identify the necessary data and data elements of CPOE systems. This study aims to identify data elements of CPOE and standardize these data with Fast Healthcare Interoperability Resources (FHIR) to facilitate data sharing and integration with the electronic health record (EHR) system and reduce data diversity. PubMed, Web of Science, Embase, and Scopus databases for studies up to October 2019 were searched. Two reviewers independently assessed original articles to determine eligibility for inclusion in this review. All articles describing data elements of a COPE system were included. Data elements were obtained from the included articles' text, tables, and figures.Classification of the extracted data elements and mapping them to FHIR was done to facilitate data sharing and integration with the electronic health record (EHR) system and reduce data diversity. The final data elements of CPOE were categorized into five main categories of FHIR (foundation, base, clinical, financial, and specialized) and 146 resources, where possible. One of the researchers did mapping and checked and verified by the second researcher. If a data element could not be mapped to any FHIR resources, this data element was considered an extension to the most relevant resource. We retrieved 5162 articles through database searches. After the full-text assessment, 21 articles were included. In total, 270 data elements were identified and mapped to the FHIR standard. These elements have been reported in 26 FHIR resources of 146 ones (18%). In total, 71 data elements were considered an extension. The results of this study showed that the same data elements were not used in the CPOE systems, and the degree of homogeneity of these systems is limited. The mapping of extracted data with data elements used in the FHIR standard shows the extent to which these systems comply with existing standards. Considering the standards in these systems' design helps developers design more coherent systems that can share data with other systems. [ABSTRACT FROM AUTHOR]

Aims: To describe the prevalence and characteristics of pain in adult hospitalised patients, as well as to analyse the concordance between patient‐reported and recorded pain and its impact on analgesic management. Design: A cross sectional study. Methods: The study was performed on a sample of 611 patients, from October to December 2017. Data were obtained from patient interviews, review of medical and nursing records and review of electronic prescribing. Results: The prevalence of pain at the time of the interview was 36.7%. The median VAS score was 4. 90% of the patients had their pain assessed within the last 24 h; however, concordance between patient‐reported pain and recorded pain in the nursing record was slight. Conclusion: Pain is still often documented inadequately. Despite the wide use of analgesics, half of the patients with moderate to severe pain do not have adequate pain management. A systematic assessment and recording of pain promotes appropriate analgesic prescription. Implications for the profession and patient care: The findings of our study provide insight into the main gaps in the correct management of pain in hospitalised patients. A systematic assessment and recording of the pain suffered by the patient facilitates its control and allows a better management of the analgesic prescription by the physician. This information could help hospital managers to develop training programmes on pain assessment and on the importance of doctor–nurse collaboration to improve pain management, increasing the quality of care and reducing hospital costs. Reporting method: The study has adhered to the relevant EQUATOR guidelines, according to The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. [ABSTRACT FROM AUTHOR]

PURPOSE We conducted a pragmatic, cluster-randomized trial to test whether a guideline-based standing order entry (SOE) improves use of primary prophylactic CSF (PP-CSF) prescribing for patients receiving myelosuppressive chemotherapy. We investigated variability in adherence to the intervention. METHODS We conducted a cluster-randomized trial among 32 oncology clinics from the NCI Community Oncology Research Program. Clinics were randomized 3:1 to a guideline-based PP-CSF SOE or usual care. Among SOE sites, automated orders for PP-CSF were included for regimens at high risk for febrile neutropenia (FN) and an alert not to use PP-CSF for low FN risk. A secondary 1:1 randomization was done among intervention sites to either SOE to prescribe or an alert to not prescribe PP-CSF for patients receiving intermediate risk-regimens. Providers were allowed to override the SOE. RESULTS Overall, PP-CSF use among patients receiving high FN risk treatment was high and not different between arms; however, rates of PP-CSF use varied widely by site, ranging from 48.6% to 100%. Among those receiving low FN risk regimens, PP-CSF use was low and not different between arms; however, PP-CSF use ranged from 0% to 19.4% across sites. In the intermediate-risk substudy, PP-CSF was five-fold higher among sites randomized to SOE; however, there was considerable variability in adherence to intervention assignment: PP-CSF use ranged from 0% to 75% among sites randomized to SOE. Despite an alert to not prescribe, PP-CSF prescribing ranged from 0% to 33%. CONCLUSION In this randomized pragmatic trial aimed at improving PP-CSF prescribing, there was substantial variability in site adherence to the intervention assignment. Although the ability to opt out of the intervention is a feature of pragmatic trials, planning to estimate nonadherence is critical to ensure adequate power. [ABSTRACT FROM AUTHOR]

Pediatric anesthesia requires the rapid creation, communication, and execution of anesthesia orders, and there is a risk of human error. The authors developed an order-assisted mobile application (app) to reduce human error during pediatric anesthesia preparation. The authors conducted an observational study that compared the effects of the application by comparing anesthesiologists' errors, nurses' errors, nurses leaving the operating room, and delays in surgery, between the Conventional group (n = 101) and the App group (n = 101). The app was associated with reduced human error by anesthesiologists and nurses, and it lowered the frequency and duration of nurses leaving the operating room during anesthesia. In addition, the authors surveyed anesthesia nurses regarding the effectiveness of the app. The nurses confirmed that the app was convenient and reduced human error. This study revealed that the order-assisted mobile app developed by a pediatric anesthesiologist could reduce human errors by anesthesiologists and nurses during pediatric anesthesia preparation. [ABSTRACT FROM AUTHOR]

Objectives A scoping review identified interventions for optimizing hospital medication alerts post-implementation, and characterized the methods used, the populations studied, and any effects of optimization. Materials and Methods A structured search was undertaken in the MEDLINE and Embase databases, from inception to August 2023. Articles providing sufficient information to determine whether an intervention was conducted to optimize alerts were included in the analysis. Snowball analysis was conducted to identify additional studies. Results Sixteen studies were identified. Most were based in the United States and used a wide range of clinical software. Many studies used inpatient cohorts and conducted more than one intervention during the trial period. Alert types studied included drug–drug interactions, drug dosage alerts, and drug allergy alerts. Six types of interventions were identified: alert inactivation, alert severity reclassification, information provision, use of contextual information, threshold adjustment, and encounter suppression. The majority of interventions decreased alert quantity and enhanced alert acceptance. Alert quantity decreased with alert inactivation by 1%-25.3%, and with alert severity reclassification by 1%-16.5% in 6 of 7 studies. Alert severity reclassification increased alert acceptance by 4.2%-50.2% and was associated with a 100% acceptance rate for high-severity alerts when implemented. Clinical errors reported in 4 studies were seen to remain stable or decrease. Discussion Post-implementation medication optimization interventions have positive effects for clinicians when applied in a variety of settings. Less well reported are the impacts of these interventions on the clinical care of patients, and how endpoints such as alert quantity contribute to changes in clinician and pharmacist perceptions of alert fatigue. Conclusion Well conducted alert optimization can reduce alert fatigue by reducing overall alert quantity, improving clinical acceptance, and enhancing clinical utility. [ABSTRACT FROM AUTHOR]

In Intensive Care Units (ICUs), patients are monitored using various devices that generate alerts when specific metrics, such as heart rate and oxygen saturation, exceed predetermined thresholds. However, these alerts can be inaccurate and lead to alert fatigue, resulting in errors and inaccurate diagnoses. We propose Alert grouping, a "Smart Personalization of Monitoring System Thresholds to Help Healthcare Teams Struggle Alarm Fatigue in Intensive Care" model. The alert grouping looks at patients at the individual and cluster levels, and healthcare-related constraints to assist medical and nursing teams in setting personalized alert thresholds of vital parameters. By simulating the function of ICU patient bed devices, we demonstrate that the proposed alert grouping model effectively reduces the number of alarms overall, improving the alert system's validity and reducing alarm fatigue. Implementing this personalized alert model in ICUs boosts medical and nursing teams' confidence in the alert system, leading to better care for ICU patients by significantly reducing alarm fatigue, thereby improving the quality of care for ICU patients. [ABSTRACT FROM AUTHOR]

Background: A common required duty of pathology resident physicians while rotating on transfusion medicine is the medical oversight of the therapeutic apheresis service. A task often performed on this clinical medicine service is formulating and writing orders for therapeutic apheresis procedures. The EpicCare tool called the therapy plan provides unique advantages over a standard electronic order set for therapeutic apheresis. Materials and Methods: Transfusion medicine physicians, apheresis nurses, pharmacists, and information technology professionals collaborated to create therapy plans for three therapeutic apheresis procedures: plasmapheresis, red cell exchange, and photopheresis. Results: Therapy plans were implemented and have been well‐received for several years. Over a six‐year time period, a total of 613 therapy plans were created and signed. We speculate that this implementation may have increased both physician efficiency and patient safety. Conclusion: This article reports our experience using therapy plans in EpicCare in order to raise awareness of this tool and to serve as an encouragement for wider adoption. [ABSTRACT FROM AUTHOR]

Objective: Since medication errors can have severe consequences, the development of methods to improve patient safety is becoming increasingly important. The aim of this evaluation was to identify frequent medication errors in oncology as well as characteristic correlations in the various error patterns. In addition, the implementation rate of the proposed pharmaceutical intervention was determined in order to assess the benefit of a clinical pharmacist in the field of oncology. Methods: The evaluation was based on a data-set from a national documentation system for medication errors and interventions (DokuPIK) used by hospital pharmacists in the field of oncology from 2008 to 2019, namely 6684 reported cases in oncology, representing about 5% of all reports in DokuPIK. Results: The most frequently reported errors were incorrect doses (22% of reported errors), followed by interactions (14%); in 10% of errors the prescription/documentation was incomplete/incorrect. The intervention suggested by the pharmacist was implemented in 97% of the cases. Based on the respective Anatomical Therapeutical Chemical Classification (ATC codes), drugs (or groups of drugs) were identified that were reported frequently in connection with medication errors, namely carboplatin and cyclophosphamide as anticancer drugs pantoprazole as non-anticancer drug. Conclusion: Frequently occurring medication errors in the field of oncology were identified, facilitating the development of specific recommendations for action and prevention strategies. The implementation of an electronic prescription software is particularly recommended for the avoidance of dosage errors in chemotherapy. [ABSTRACT FROM AUTHOR]

Introduction: A National Cancer Information System is planned for phased implementation in Irish cancer centres to enable electronic prescribing (ePrescribing) of systemic anti-cancer therapy. This study aimed to capture the opinions of healthcare professionals in a hospital setting relating to the current paper-based workflow for systemic anti-cancer therapy prescribing and their attitudes and expectations of the new ePrescribing system to develop recommendations, which assist in the planning and implementation of future ePrescribing systems. Methods: A mixed methods study of concurrent design was conducted. Interviews with healthcare professionals primarily aimed to evaluate processes and identify areas requiring improvement within the current paper-based workflow for systemic anti-cancer therapy prescribing. An online questionnaire adapted from the Information Systems Expectations and Experiences tool primarily aimed to capture expectations of the new ePrescribing system and attitudes towards the transition. Results: Twelve healthcare professionals were interviewed, and 50 healthcare professionals responded to the online questionnaire (response rate: 33.3%). Eight major themes emerged from interview transcripts relating to opinions on the paper-based workflow. Questionnaire respondents reported positive attitudes towards ePrescribing implementation and had high expectations for workflow improvements and functionalities of the new system. Seven recommendations for ePrescribing implementation were developed: (1) prioritise specific processes; (2) plan for changes in communication; (3) repeat research in the post-implementation setting; (4) ensure good information technology infrastructure and system support; (5) ensure optimum training; (6) outline limitations of clinical decision support; (7) provide clear instructions on local configurability. Conclusion: This study identifies potential challenges in transitioning to ePrescribing and provides recommendations, which assist stakeholders in ensuring safe and effective transitions, thus informing future ePrescribing systems' implementation in haematology/oncology settings. [ABSTRACT FROM AUTHOR]

Purpose Standardized processes to order and prepare medications can decrease the potential for error and provider uncertainty. Our health system utilizes a standard concentration policy, smart infusion pumps, and the electronic health record (EHR) to catalog, order, and deliver intravenous medications. A need for a more proactive and formalized process to ensure medication listings are harmonized between these 3 resources was identified. Standardizing these resources can reduce confusion, reduce time spent in pharmacy operations and nursing workflow, and may improve patient safety. The purpose of this quality improvement project was to compare and resolve inconsistencies between these 3 sources and to create a new process to assure uniformity in a complex work environment. Summary An audit-style comparison and evaluation of entries for continuous infusions within the standard concentration policy, the pump library, and the EHR was conducted. All continuous infusion entries within any one of these 3 sources were included. Key exclusion criteria included pediatric and neonatal infusions, intermittent infusions, and infusions in procedural areas. We compared the policy, the pump library, and the EHR to identify, document, and resolve discrepancies in medication name, concentration, rate, and volume; fluid restriction concentration; and upper and lower pump limits. A new method to ensure proactive continuity and consistent updates to the 3 sources was implemented into existing operational workflows. We recommended a total of 82 updates to policy (n = 48), the pump library (n = 30), and the EHR (n = 4) out of 187 continuous infusion entries. Conclusion Standardizing infusion resources will reduce confusion, and improve pharmacy operations, nursing workflow, and patient safety. [ABSTRACT FROM AUTHOR]

Purpose To compare rates of prescriber acceptance of interruptive and noninterruptive clinical decision support (CDS) alerts regarding potential diminished therapeutic effectiveness and safety risks associated with proton pump inhibitor (PPI) use in carriers of gene variants affecting cytochrome P450 (CYP) isozyme 2C19 metabolism. Methods A retrospective study was conducted at a large rural health system to examine different approaches to improving CDS alert acceptance while minimizing alert fatigue. Manual reviews were conducted to identify alerts regarding CYP2C19 metabolizer status displayed at the time of PPI ordering over 30-day periods before and after the transition from interruptive to noninterruptive CDS alert functionality. A chi-square test was conducted to analyze prescriber acceptance of CDS recommendations by alert modality and type of treatment modification. Results Overall, interruptive alerts had an acceptance rate of 18.6% (64/344), compared to 8.4% acceptance (30/357 alerts) for noninterruptive alerts (P ≤ 0.0001). Analysis of acceptance criteria -revealed the noninterruptive alert cohort had higher acceptance, as determined by documented medication dose adjustments, than the interruptive alert cohort (53.3% [16/30] and 4.7% [3/64], respectively). The difference in acceptance rates by CDS modality and treatment modification was statistically significant (P ≤ 0.00001). The predominant indication for PPI use was gastroesophageal reflux disease (GERD) in both cohorts. Conclusion Interruptive alerts that actively influenced workflow had higher acceptance rates than noninterruptive alerts that served an informational purpose without a direct disruption of workflow. The study results suggest the utilization of noninterruptive alerts may be a beneficial tool for prompting clinicians to alter dosing regimens rather than transition to an alternative agent. [ABSTRACT FROM AUTHOR]

Context.--Unnecessary laboratory tests are ordered because of factors such as preselected orders on order sets, clinician habits, and trainee concerns. Excessive use of laboratory testing increases patient discomfort via unnecessary phlebotomy, contributes to iatrogenic anemia, increases risk of bloodstream infections, and increases the cost of care. Objective.--To address these concerns, we implemented a multilevel laboratory stewardship intervention to decrease unnecessary laboratory testing, measured by laboratory tests per day attributed to service, across 2 surgical divisions with high laboratory use. Design.--The multilevel intervention included 5 components: stakeholder engagement, provider education, computerized provider order entry modification, performance feedback, and culture change supported by leadership. The primary outcome of the study was laboratory tests ordered per patient-day. Secondary outcomes included the number of blood draws per patient-day, total lab-associated costs, length of stay, discharge to a nursing facility, 30-day readmissions, and deaths. A difference-in-differences analytic approach assessed the outcome measures in the intervention period, with other surgical services as controls. Results.--The primary outcome of laboratory tests per patient-day showed a significant decrease across both thoracic and cardiac surgery services, with between 1.5 and 2 fewer tests ordered per patient-day for both services and an estimated 20 000 fewer tests performed during the intervention period. Blood draws per patient-day were also significantly decreased on the thoracic surgery service but not for cardiac surgery. Conclusions.--A multilevel laboratory stewardship intervention targeted to 2 surgical services resulted in a significant decrease in laboratory test use without negatively impacting length of stay, readmissions, or mortality. [ABSTRACT FROM AUTHOR]

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Background and objectives: Environmental factors influence the development of very preterm infants (VPIs, born at less than 32 weeks of gestation). It is important to identify all potential sources of paraben exposure in these vulnerable infants. We aimed to quantify paraben exposure via drug administration in a cohort of VPI cared for in neonatal intensive care units (NICUs). Methods: A prospective, observational study was carried out over a five-year period in a regional setting (two NICUs using the same computerized order-entry system). The main outcome was exposure to paraben-containing drugs. The secondary outcomes were: time of the first exposure, daily intake, number of infants exceeding paraben acceptable daily intake (ADI: 0-10 mg/kg/d), duration of exposure, and cumulative dose. Results: The cohort consisted of 1,315 VPIs [BW 1129.9 (±360.4) g]. Among them, 85.5% were exposed to paraben-containing drugs. In 40.4% of infants, the first exposure occurred during the second week of life. Mean paraben intake and duration of exposure were, respectively, 2.2 (±1.4) mg/kg/d and 33.1 (±22.3) days. The cumulative paraben intake was 80.3 (±84.6) mg/kg. The ADI was exceeded in 3.5% of exposed infants. Lower GA was associated with higher intake and longer exposure (p < 0.0001). The main molecules involved in paraben exposure were: sodium iron feredetate, paracetamol, furosemide, and sodium bicarbonate + sodium alginate. Conclusion: Commonly used drugs are potential source of parabens, and ADI can be easily exceeded in VPIs cared for in NICUs. Efforts are needed to identify paraben-free alternative formulations for these vulnerable infants. [ABSTRACT FROM AUTHOR]

Background: One of the most critical steps in the medication process on pediatric wards is the medical prescription. This study aims to investigate the impact of a computerized physician order entry (CPOE) system on Adverse Drug Events (ADEs) and potentially harmful ADEs (pot ADEs) in comparison with paper‐based documentation in a general pediatric ward at a German University hospital. Methods: A prospective pre–post study was conducted. All patients aged 17 years or younger were observed during the study periods (5 months pre‐ and postimplementation). Issues Regarding Medication (IRM) were identified by intensive chart review. Events were assessed regarding causality (WHO), severity (WHO; Dean & Barber for MEs), and preventability (Shumock) and classified into (pot) ADEs, (pot) Medication errors (ME), Adverse drug Reactions (ADR), and Other incidents (OI) accordingly. Results: Total of 333 patients with medication were included in the paper‐based prescribing cohort (phase I) and 320 patients with medication in the electronic prescribing cohort (phase II). In each cohort, patients received a median number of four different drugs (IQR 5 and IQR 4). A total of 3966 IRM was observed. During the hospitalization, 2.7% (n = 9) patients in phase I and 2.8% (n = 9) in phase II experienced an ADE. Potentially harmful MEs were less often observed in the cohort with electronic prescribing (n = 228 vs. n = 562). The mean number per patient significantly decreased from 1.69 to 0.71 (p <.01). Conclusion: The implementation of a CPOE system resulted in a reduction of issues regarding medication, particularly MEs with the potential to harm patients decreased significantly. [ABSTRACT FROM AUTHOR]

Background Despite recommendations, documentation of indication on prescriptions and inpatient medication orders is not routinely practised. There has been a recent systematic review of indication documentation for antimicrobials, but not for interventions relating to indication documentation for medication more broadly. Our aims were to 1) identify, describe and synthesise the literature relating to effectiveness of interventions aimed at improving indication documentation and/or indication-based prescribing in both primary and secondary healthcare; 2) synthesise participant perspectives to identify barriers and facilitators to these interventions; and 3) make recommendations for both practice and research. Methods A systematic literature search was conducted using Medline, Embase and CINAHL using two search concepts: electronic prescribing systems, and indication documentation and/or indication-based prescribing. Qualitative, quantitative and mixed-methods studies were included; outcome measures and results were extracted to produce a narrative synthesis. Quality appraisal by two independent reviewers was undertaken using the Mixed Methods Appraisal Tool. Results We identified 21 studies evaluating interventions to aid indication documentation. Indication documentation was either via free-text, selection from a list, or by use of pre-defined indication-based order sentences for individual medications. For a number of outcomes, there was a mostly positive impact, including appropriateness of the medication order (6 of 8 studies), rates of prescribing error (2/2) and some less commonly reported clinical (2/4) and workflow-related outcomes (2/3). There was a less favourable impact on accuracy of indication documentation and rates of medication use, highlighting some unintended consequences that may occur when implementing new interventions. Participant insights from prescribers and other healthcare professionals complemented quantitative study results, highlighting both facilitators and barriers to indication documentation and the associated interventions. For example, barriers included long drop-down lists and the need to use workarounds to navigate approval systems due to time or knowledge constraints. Facilitating factors included the perceived benefits of indication documentation on communication among the healthcare team and with the patient. Conclusion Indication documentation has the potential to improve appropriate prescribing and reduce prescribing errors. However, further benefits to the prescriber, multidisciplinary team and patient may only be realised by developing methods of indication documentation that integrate more efficiently with prescriber workflows. PROSPERO registration number CRD42021278495. [ABSTRACT FROM AUTHOR]

Introduction: For early detection of sepsis, automated systems within the electronic health record have evolved to alert emergency department (ED) personnel to the possibility of sepsis, and in some cases link them to suggested care pathways. We conducted a systematic review of automated sepsis-alert detection systems in the ED.Methods: We searched multiple health literature databases from the earliest available dates to August 2018. Articles were screened based on abstract, again via manuscript, and further narrowed with set inclusion criteria: 1) adult patients in the ED diagnosed with sepsis, severe sepsis, or septic shock; 2) an electronic system that alerts a healthcare provider of sepsis in real or near-real time; and 3) measures of diagnostic accuracy or quality of sepsis alerts. The final, detailed review was guided by QUADAS-2 and GRADE criteria. We tracked all articles using an online tool (Covidence), and the review was registered with PROSPERO registry of reviews. A two-author consensus was reached at the article choice stage and final review stage. Due to the variation in alert criteria and methods of sepsis diagnosis confirmation, the data were not combined for meta-analysis.Results: We screened 693 articles by title and abstract and 20 by full text; we then selected 10 for the study. The articles were published between 2009–2018. Two studies had algorithm-based alert systems, while eight had rule-based alert systems. All systems used different criteria based on systemic inflammatory response syndrome (SIRS) to define sepsis. Sensitivities ranged from 10-100%, specificities from 78-99%, and positive predictive value from 5.8-54%. Negative predictive value was consistently high at 99-100%. Studies showed some evidence for improved process-of-care markers, including improved time to antibiotics. Length of stay improved in two studies. One low quality study showed improved mortality.Conclusion: The limited evidence available suggests that sepsis alerts in the ED setting can be set to high sensitivity. No high-quality studies showed a difference in mortality, but evidence exists for improvements in process of care. Significant further work is needed to understand the consequences of alert fatigue and sensitivity set points.

Digital technology is becoming increasingly common in routine nursing practice. The adoption of digital technologies such as video calling, and other digital communication, has been hastened by the recent COVID-19 pandemic. Use of these technologies has the potential to revolutionise nursing practice, leading to potentially more accurate patient assessment, monitoring processes and improved safety in clinical areas. This article outlines key concepts related to the digitalisation of health care and the implications for nursing practice. The aim of this article is to encourage nurses to consider the implications, opportunities and challenges associated with the move towards digitalisation and advances in technology. Specifically, this means understanding key digital developments and innovations associated with healthcare provision and appreciating the implications of digitalisation for the future of nursing practice. [ABSTRACT FROM AUTHOR]