Estimating the impact of label design on reducing the risk of medication errors by applying HEART in drug administration.

Medication errors are one of the biggest problems in healthcare. The medicines' poor labelling design (i.e. look-alike labels) is a well-recognised risk for potential confusion, wrong administration, and patient damage. Human factors and ergonomics (HFE) encourages the human-centred design of system elements, which might reduce medication errors and improve people's well-being and system performance. OBJECTIVE: The aim of the present study is twofold: (i) to use a human reliability analysis technique to evaluate a medication administration task within a simulated scenario of a neonatal intensive care unit (NICU) and (ii) to estimate the impact of a human-centred design (HCD) label in medication administration compared to a look-alike (LA) label. METHOD: This paper used a modified version of the human error assessment and reduction technique (HEART) to analyse a medication administration task in a simulated NICU scenario. The modified technique involved expert nurses quantifying the likelihood of unreliability of a task and rating the conditions, including medicine labels, which most affect the successful completion of the task. RESULTS: Findings suggest that error producing conditions (EPCs), such as a shortage of time available for error detection and correction, no independent checking of output, and distractions, might increase human error probability (HEP) in administering medications. Results also showed that the assessed HEP and the relative percentage of contribution to unreliability reduced by more than 40% when the HCD label was evaluated compared to the LA label. CONCLUSION: Including labelling design based on HFE might help increase human reliability when administering medications under critical conditions.

Effects of tall man lettering on the visual behaviour of critical care nurses while identifying syringe drug labels: a randomised in situ simulation.

BACKGROUND: Patients in intensive care units are prone to the occurrence of medication errors. Look-alike, sound-alike drugs with similar drug names can lead to medication errors and therefore endanger patient safety. Capitalisation of distinct text parts in drug names might facilitate differentiation of medication labels. The aim of this study was to test whether the use of such 'tall man' lettering (TML) reduces the error rate and to examine effects on the visual attention of critical care nurses while identifying syringe labels. METHODS: This was a prospective, randomised in situ simulation conducted at the University Hospital Zurich, Zurich, Switzerland. Under observation by eye tracking, 30 nurses were given 10 successive tasks involving the presentation of a drug name and its selection from a dedicated set of 10 labelled syringes that included look-alike and sound-alike drug names, half of which had TML-coded labels.Error rate as well as dwell time, fixation count, fixation duration and revisits were analysed using a linear mixed-effects model analysis to compare TML-coded with non-TML-coded labels. RESULTS: TML coding of syringe labels led to a significant decrease in the error rate (from 5.3% (8 of 150 in non-TML-coded sets) to 0.7% (1 of 150 in TML-coded sets), p<0.05). Eye tracking further showed that TML affects visual attention, resulting in longer dwell time (p<0.01), more and longer fixations (p<0.05 and p<0.01, respectively) on the drug name as well as more frequent revisits (p<0.01) compared with non-TML-coded labels. Detailed analysis revealed that these effects were stronger for labels using TML in the mid-to-end position of the drug name. CONCLUSIONS: TML in drug names changes visual attention while identifying syringe labels and supports critical care nurses in preventing medication errors.

A systematic comparison of hepatobiliary adverse drug reactions in FDA and EMA drug labeling reveals discrepancies.

Drug labeling informs physicians and patients on the safe and effective use of medication. However, recent studies suggested discrepancies in labeling of the same drug between different regulatory agencies. Here, we evaluated the hepatic safety information in labeling for 549 medications approved by the US Food and Drug Administration (FDA) and the European Medicines Agency (EMA). Limited discrepancies were found regarding risk for hepatic adverse drug reactions (ADRs) (8.7% in hepatic ADR warnings and 21.3% in contraindication for liver disease), while caution should be exercised over drugs with inconsistencies in contraindications for liver disease and evidence for hepatotoxicity (4.9%). Most discrepancies were attributable to less-severe hepatic events and low-frequency hepatic ADR reports and had limited implication on clinical outcomes.

Potential Implications of Expanded US Food and Drug Administration Labeling for Sacubitril/Valsartan in the US.

Importance: The US Food and Drug Administration (FDA) expanded labeling for sacubitril/valsartan for use in individuals with chronic heart failure (HF) with left ventricular ejection fraction (LVEF) lower than normal. The population-level implications of implementation of sacubitril/valsartan at higher LVEF ranges is unknown. While the Prospective Comparison of ARNI With ARB Global Outcomes in HF With Preserved Ejection Fraction (PARAGON-HF) trial did not meet its primary end point, the trial may provide useful information in projecting expected clinical events among treated individuals. Objective: To quantify newly eligible treatment candidates for sacubitril/valsartan under the expanded FDA labeling and to apply treatment effects and the number needed to treat (NNT) to prevent 1 worsening HF event derived from subgroups of the PARAGON-HF trial who fall under the revised FDA label. Design, Setting, and Participants: Newly eligible treatment candidates were estimated by mapping the LVEF distribution from 559 520 adult patients hospitalized between 2014 and 2019 in the Get With The Guidelines-Heart Failure registry to adults self-identifying with HF in the National Health and Nutrition Examination Survey (2015 to 2018). The NNT with 3 years of treatment for 3 end points of interest (total HF hospitalizations, total HF hospitalizations and cardiovascular death, and total HF hospitalizations and urgent HF visits and cardiovascular death) were estimated from the PARAGON-HF trial. Data were analyzed from February to June 2021. Main Outcomes and Measures: Number of worsening HF events prevented or postponed if eligible patients were treated with sacubitril/valsartan for 3 years. Results: Of an estimated 4 682 098 adults, the mean (SE) age was 66.3 (0.8) years, 1 995 037 (42.6%) were women, and 748 045 (16.0%) were Black. The potential number of adults projected to be newly eligible varied by the definition of FDA labeling of lower than normal LVEF from 643 161 (95% CI, 534 433-751 888; LVEF of 41% to 50%) to 1 838 756 (95% CI, 1 527 911-2 149 601; LVEF of 41% to 60%). In the PARAGON-HF trial, the NNT to prevent a worsening HF event (range, 7 to 12 patients) was consistent irrespective of specific LVEF range selected. Comprehensive implementation of sacubitril/valsartan among newly eligible patients was empirically estimated to prevent up to 69 268 (95% CI, 57 558-80 978) worsening HF events (LVEF of 41% to 50%) to 182 592 (95% CI, 151 725-213 460) worsening HF events (LVEF of 41% to 60%). Conclusions and Relevance: The expanded FDA labeling is positioned to substantially increase the potential HF population eligible for sacubitril/valsartan by up to 1.8 million individuals and has the potential to prevent or postpone as many as 180 000 worsening HF events, depending on the definition of normal LVEF.

Investigation of Factors Associated With Immunogenicity Labeling Updates and Characteristics of Biologics License Applications.

Immunogenicity, the potential to elicit an antidrug immune response, is a critical concern in developing biological products, but its consequences are difficult to predict with animal studies. The aims of the present study are to investigate the evolution of immunogenicity information in labeling and to identify attributes associated with immunogenicity labeling updates. Biologics License Applications (BLAs) approved by the Center for Drug Evaluation and Research, US Food and Drug Administration between 2008 and 2017 were studied. A majority of BLAs described the incidence/prevalence of antidrug antibodies (ADAs) (94.9%) and neutralizing antibodies (NAbs) (68.4%) in their original labeling documents. However, less than one third of the BLAs mentioned the impact of ADAs/NAbs in the original (20.3%) and most recent (29.1%) labeling documents. BLAs with a priority review status (57.4% vs. 33.3%), orphan designation (61.5% vs. 34.2%), or a mention of ADA impact in the latest label (69.6% vs. 38.9%) had higher percentages of applications with postmarketing requirements (PMRs) directly related to immunogenicity concerns in comparison with applications without those characteristics. Among the BLAs with updated immunogenicity information, the mean time to the first update was 1,077 days, while that for BLAs with accelerated approval was shorter (709.1 ± 492.2 days vs. 1173.8 ± 661.8 days). The results suggest that there is a substantial amount of critical information lacking in the original labeling documents and an overdependence on PMRs for more evidence. Additional efforts should be made to investigate the impact of ADAs to provide timely information for improved patient care.

La trazabilidad en el sistema logístico de medicamentos en Cuba y el uso de las tecnologías de auto-identificación / Traceability in the logistics system of medicines in Cuba, use of auto-identification

La trazabilidad es la capacidad para rastrear la historia, aplicación o ubicación de un objeto bajo consideración. En el ámbito farmacéutico, el rastreo y seguimiento de los medicamentos, incluyendo las vacunas y otros medicamentos biológicos, a lo largo de la cadena de suministro constituye un requisito obligatorio establecido por las autoridades sanitarias a nivel internacional, que se exige en mayor o menor magnitud en las reglamentaciones vigentes. En este artículo se analiza el sistema de codificación y clasificación en el sector de la salud y su estado actual en la cadena de suministro de medicamentos de Cuba. Se presenta un procedimiento para la implementación de las tecnologías de auto-identificación e intercambio electrónico de datos, mediante el uso de GS1 en el sistema de codificación y clasificación empleado en el sector de salud, que permita la trazabilidad en toda la cadena de suministro en Cuba(AU)

Traceability is the capability to track the history, application or location of an object under consideration. In the pharmaceutical field, the tracking and monitoring of medicines, including vaccines and other biological medicines, along the supply chain constitutes a mandatory requirement established by the sanitary authorities at an international level, which is demanded to a greater or lesser extent in the regulations in force. This research was carried out involving different links in the drug supply chain in Cuba, ranging from drug suppliers, drug distribution company, to healthcare centers and pharmacies. An analysis is carried out on the current coding and classification system, detecting the ineffectiveness of the identification of the drugs as the main deficiency. A procedure is proposed for the implementation of the auto-identification and electronic data interchange technologies using GS1 in the coding and classification system used in the health sector that allows traceability throughout the supply chain in Cuba(AU)

A Systematic Assessment of US Food and Drug Administration Dosing Recommendations For Drug Development Programs Amenable to Response-Guided Titration.

A key goal in drug development is optimized dosing for patients. Interactions between drug developers and regulatory scientists throughout development are important for the optimization of dosing and serve as a forum to discuss approaches for optimal dosing, such as precision or individualized dosing. To date, there has not been a systematic assessment of the advice provided by the US Food and Drug Administration (FDA) to drug developers from an individualized dosing perspective. Here, we reviewed FDA recommendations on dose selection for efficacy trials at end-of-phase meetings between the FDA and drug developers for 76 new molecular entities approved between 2013 and 2017 that are considered amenable for an individualized dosing method, response-guided titration. Forty FDA dosing recommendations were identified as specific to dose selection and design of the respective efficacy trials and subsequently: (i) characterized based on if they were supportive of individualized dosing and (ii) compared with dosing regimens used in efficacy trials and labeling at approval to evaluate if FDA recommendations were implemented. Of these 40 recommendations for efficacy trials, 35 (88%) were considered supportive of individualized dosing. Eighteen of these 40 recommendations (45%) were incorporated into efficacy trials and 11 (28%) were incorporated into labeling. This research suggests that early FDA-sponsor interactions can support the study of doses in efficacy trials that may lead to individualized dosing strategies in labeling.

Pharmacogenetic information in Swiss drug labels - a systematic analysis.

Implementation of pharmacogenetics (PGx) and individualization of drug therapy is supposed to obviate adverse drug reactions or therapy failure. Health care professionals (HCPs) use drug labels (DLs) as reliable information about drugs. We analyzed the Swiss DLs to give an overview on the currently available PGx instructions. We screened 4306 DLs applying natural language processing focusing on drug metabolism (pharmacokinetics) and we assigned PGx levels following the classification system of PharmGKB. From 5979 hits, 2564 were classified as PGx-relevant affecting 167 substances. 55% (n = 93) were classified as "actionable PGx". Frequently, PGx information appeared in the pharmacokinetics section and in DLs of the anatomic group "nervous system". Unstandardized wording, appearance of PGx information in different sections and unclear instructions challenge HCPs to identify and interpret PGx information and translate it into practice. HCPs need harmonization and standardization of PGx information in DLs to personalize drug therapies and tailor pharmaceutical care.

The Role of the Patient Information Leaflet in Patients'Medication Therapy: A Case Study within the Kumasi Metropolis of Ghana.

One of the tools used in providing comprehensible medication information to patients on their medication use for improved adherence and subsequent optimal therapeutic effect is the Patient Information (PI) leaflet. In Ghana, the patient information leaflet is available through various sources including health-care professionals (HCPs) and electronic forms. The World Health Organization (WHO) estimates that more than 70% of patients, especially in the developing countries, who receive medications do not read the accompanying leaflet. This study assessed the role of the patient information leaflet in Patients' medication therapy in the Kumasi metropolis of Ghana. A random cross-sectional survey was conducted in various hospitals and pharmacies within selected districts in the Kumasi metropolis. The survey revealed that 96.9% of the sampled respondents (n = 300) were provided with PI leaflets on their medicines while only 3.1% of them indicated otherwise. Among the proportion of respondents who were provided with PI leaflets, 66.7% of them read the information on the drug leaflets whilst the remaining 33.3% did not. Ultimately, 62.4% of those who read the PI leaflets were influenced to discontinue their medication. In conclusion, reading of the drug information leaflet was higher than that found in previous studies in Ghana. Reading the leaflet did not increase adherence but aroused anxiety and decreased adherence in some patients. A large number of the patients who were given the PI leaflets indicated that it did not provide them with the needed information.

The role of manufacturers in the implementation of global traceability standards in the supply chain to combat vaccine counterfeiting and enhance safety monitoring.

The counterfeiting of vaccines is an increasing problem globally with the safety of persons vaccinated, the trust in vaccines generally and the associated reputation of vaccine manufacturers and regulatory agencies at risk. This risk is especially critical with the on-going development of COVID-19 vaccines. The ability to track and trace vaccines through the vaccine supply chain down to persons vaccinated has to be enhanced. In this context of traceability, the global immunization community has recently set the barcoding of the primary packaging of vaccines, specifically vaccine vials and pre-filled syringes, as a top priority. Emerging vaccine manufacturers are already engaged in investigating ways to incorporate barcoding in their labelling and packaging using GS1 international standards. A specific pilot taking place in Indonesia by the national vaccine manufacturer, Bio Farma, shows the innovation of barcoding on primary packaging already underway with a relatively modest level of investment and success at this stage. This article highlights the efforts of industry and governments on the value of traceability and introduction to 2D barcodes. Access to financial resources and support from the international immunization community would accelerate such innovations leading to enhanced security of the vaccine supply chain.

DALES, Drug Allergy Labels in Elective Surgical patients: a prospective multicentre cross-sectional study of incidence, risks, and attitudes in penicillin de-labelling strategies.

BACKGROUND: Penicillin allergy is associated with a range of poor health outcomes. Allergy testing can be made simpler by using a direct drug provocation test in patients at low risk of genuine allergy. This approach could allow population-level 'de-labelling'. We sought to determine the incidence and nature of penicillin allergy labels in UK surgical patients and define patient and anaesthetist attitudes towards penicillin allergy testing. METHODS: A prospective cross-sectional questionnaire study was performed in 213 UK hospitals. 'Penicillin allergic' patients were interviewed and risk-stratified. Knowledge and attitudes around penicillin allergy were defined in patients and anaesthetists. RESULTS: Of 21 219 patients, 12% (n=2626) self-reported penicillin allergy; 27% reported low-risk histories potentially suitable for a direct drug provocation test; an additional 40% reported symptoms potentially suitable for a direct drug provocation test after more detailed assessment. Of 4798 anaesthetists, 40% claimed to administer penicillin routinely when they judged the label low risk. Only 47% of anaesthetists would be happy to administer penicillin to a patient previously de-labelled by an allergy specialist using a direct drug provocation test; perceived lack of support was the most common reason for not doing so. CONCLUSIONS: At least 27% of patients with a penicillin allergy label may be suitable for a direct drug provocation test. Anaesthetists demonstrated potentially unsafe prescribing in patients with penicillin allergy labels. More than half of anaesthetists lack confidence in the results of a direct drug provocation tests undertaken by a specialist. Our findings highlight significant barriers to the effective implementation of widespread de-labelling in surgical patients.

Postmarketing Safety of Vaccines Approved by the U.S. Food and Drug Administration : A Cohort Study.

BACKGROUND: Vaccines are one of the greatest achievements in public health. Prevalence and clinical significance of emerging postapproval, vaccine-related safety issues have not been systematically studied. OBJECTIVE: To explore postmarketing safety modifications in U.S. Food and Drug Administration (FDA)-approved vaccine labels. DESIGN: Retrospective cohort study. SETTING: United States. PARTICIPANTS: Initial and subsequent labels of all vaccines that were FDA-approved between 1 January 1996 and 31 December 2015. MEASUREMENTS: The primary aim was a descriptive analysis of the prevalence and characteristics of postapproval, safety-related label changes. The secondary aim was to describe the distribution of data sources triggering these modifications. RESULTS: The study cohort comprised 57 FDA-approved vaccines. Initial approval for 53 (93%) of the vaccines was supported by randomized controlled trials, with a median cohort size of 4161 participants (interquartile range, 2204 to 8634 participants). There were 58 postapproval, safety-related label modifications associated with 25 vaccines (49 warnings and precautions, 8 contraindications, and 1 safety-related withdrawal). The initial approval trial characteristics were similar in vaccines with and without postmarketing, safety-related label modifications. The most common safety issue triggering label modifications was expansion of population restrictions (n = 21 [36%]), followed by allergies (n = 13 [22%]). The most common source of safety data was postmarketing surveillance (n = 28 of 58 [48%]). LIMITATION: The data source of the initial signal triggering safety-related label changes may not necessarily represent all safety data received and processed by the FDA. CONCLUSION: Over a 20-year period, vaccines were found to be remarkably safe. A large proportion of safety issues were identified through existing postmarketing surveillance programs and were of limited clinical significance. These findings confirm the robustness of the vaccine approval system and postmarketing surveillance. PRIMARY FUNDING SOURCE: None.

Ontological Organization and Bioinformatic Analysis of Adverse Drug Reactions From Package Inserts: Development and Usability Study.

BACKGROUND: Licensed drugs may cause unexpected adverse reactions in patients, resulting in morbidity, risk of mortality, therapy disruptions, and prolonged hospital stays. Officially approved drug package inserts list the adverse reactions identified from randomized controlled clinical trials with high evidence levels and worldwide postmarketing surveillance. Formal representation of the adverse drug reaction (ADR) enclosed in semistructured package inserts will enable deep recognition of side effects and rational drug use, substantially reduce morbidity, and decrease societal costs. OBJECTIVE: This paper aims to present an ontological organization of traceable ADR information extracted from licensed package inserts. In addition, it will provide machine-understandable knowledge for bioinformatics analysis, semantic retrieval, and intelligent clinical applications. METHODS: Based on the essential content of package inserts, a generic ADR ontology model is proposed from two dimensions (and nine subdimensions), covering the ADR information and medication instructions. This is followed by a customized natural language processing method programmed with Python to retrieve the relevant information enclosed in package inserts. After the biocuration and identification of retrieved data from the package insert, an ADR ontology is automatically built for further bioinformatic analysis. RESULTS: We collected 165 package inserts of quinolone drugs from the National Medical Products Administration and other drug databases in China, and built a specialized ADR ontology containing 2879 classes and 15,711 semantic relations. For each quinolone drug, the reported ADR information and medication instructions have been logically represented and formally organized in an ADR ontology. To demonstrate its usage, the source data were further bioinformatically analyzed. For example, the number of drug-ADR triples and major ADRs associated with each active ingredient were recorded. The 10 ADRs most frequently observed among quinolones were identified and categorized based on the 18 categories defined in the proposal. The occurrence frequency, severity, and ADR mitigation method explicitly stated in package inserts were also analyzed, as well as the top 5 specific populations with contraindications for quinolone drugs. CONCLUSIONS: Ontological representation and organization using officially approved information from drug package inserts enables the identification and bioinformatic analysis of adverse reactions caused by a specific drug with regard to predefined ADR ontology classes and semantic relations. The resulting ontology-based ADR knowledge source classifies drug-specific adverse reactions, and supports a better understanding of ADRs and safer prescription of medications.

A survey about label enhancement methods for parenteral medication in European hospital pharmacies.

PURPOSE: Unclear labeling has been recognized as an important cause of look-alike medication errors. Little is known about which labeling practices are currently used in European hospitals. The aim of this article is to obtain an overview of the labeling practices for parenteral medications, in relation to national guidelines, in the Netherlands, Germany, and the UK. METHODS: An online survey was conducted using the Qualtrics® software. The survey was distributed to hospital pharmacists in the Netherlands, Germany, and the UK. The results were downloaded from Qualtrics and exported to Microsoft Excel. Data were categorized into groups and analyzed descriptively. RESULTS: In total, 104 responses were received. The response rate was 63% (n = 48) in the Netherlands and 11% (n = 41) for Germany; for the UK, 15 responses were received. In general almost 90% of the respondents followed the National guidelines concerning labeling of pharmacy-prepared parenteral products. The use of label enhancement techniques was relatively low in all countries. On average, the use of "Tall Man" lettering was 19%, the use of color coding was 29%, and the use of a barcode on the label was 27%. CONCLUSION: Label-enhancement methods for parenteral medication in hospital pharmacies do not seem to be widely implemented and acknowledged in European hospitals, but response rates were limited for two countries. Greater standardization in conjunction with research for evidence-based enhancement techniques is needed to guide improvement in labeling practices across Europe.

User testing to examine patient understanding of pharmacy generated medication labels.

OBJECTIVE: To examine patients' and carers' understanding of pharmacy generated medication labels. METHODS: A user testing questionnaire was conducted individually for 80 participants at 2 hospitals through a face-to face semi-structured interview. Pharmacy generated medication labels from different locations were grouped based on components into 4 different variations. Participants were asked to read and demonstrate understanding of the dose and frequency from 1 of the 4 variations for 4 prescription medications. Twenty participants for each variation were recruited so that demographic characteristics matched between variations. RESULTS: Overall, only 45% of participants were able to correctly understand the dose and frequency presented on all the pharmacy labels presented on medications. Medication labels with standardised timing performed better than other variations with 91% of participants able to determine the correct frequency. The use of numeric figures was understood by 80-90% of participants compared to the use of capitalised text (65-70%). Pharmacy generated medication labels that proposed one step were better understood than instructions that incorporated several steps. CONCLUSION/PRACTICE IMPLICATIONS: The study supports the use of simple, clear and explicit written instructions along with the use of numeric figures in pharmacy generated medication labels to achieve higher understandability in patients.

Using Supervised Learning Methods to Develop a List of Prescription Medications of Greatest Concern during Pregnancy.

INTRODUCTION: Women and healthcare providers lack adequate information on medication safety during pregnancy. While resources describing fetal risk are available, information is provided in multiple locations, often with subjective assessments of available data. We developed a list of medications of greatest concern during pregnancy to help healthcare providers counsel reproductive-aged and pregnant women. METHODS: Prescription drug labels submitted to the U.S. Food and Drug Administration with information in the Teratogen Information System (TERIS) and/or Drugs in Pregnancy and Lactation by Briggs & Freeman were included (N = 1,186 medications; 766 from three data sources, 420 from two). We used two supervised learning methods ('support vector machine' and 'sentiment analysis') to create prediction models based on narrative descriptions of fetal risk. Two models were created per data source. Our final list included medications categorized as 'high' risk in at least four of six models (if three data sources) or three of four models (if two data sources). RESULTS: We classified 80 prescription medications as being of greatest concern during pregnancy; over half were antineoplastic agents (n = 24), angiotensin converting enzyme inhibitors (n = 10), angiotensin II receptor antagonists (n = 8), and anticonvulsants (n = 7). DISCUSSION: This evidence-based list could be a useful tool for healthcare providers counseling reproductive-aged and pregnant women about medication use during pregnancy. However, providers and patients may find it helpful to weigh the risks and benefits of any pharmacologic treatment for both pregnant women and the fetus when managing medical conditions before and during pregnancy.