Complementing the US Food and Drug Administration Adverse Event Reporting System With Adverse Drug Reaction Reporting From Social Media: Comparative Analysis.

BACKGROUND: Adverse drug reactions (ADRs) can occur any time someone uses a medication. ADRs are systematically tracked and cataloged, with varying degrees of success, in order to better understand their etiology and develop methods of prevention. The US Food and Drug Administration (FDA) has developed the FDA Adverse Event Reporting System (FAERS) for this purpose. FAERS collects information from myriad sources, but the primary reporters have traditionally been medical professionals and pharmacovigilance data from manufacturers. Recent studies suggest that information shared publicly on social media platforms related to medication use could be of benefit in complementing FAERS data in order to have a richer picture of how medications are actually being used and the experiences people are having across large populations. OBJECTIVE: The aim of this study is to validate the accuracy and precision of social media methodology and conduct evaluations of Twitter ADR reporting for commonly used pharmaceutical agents. METHODS: ADR data from the 10 most prescribed medications according to pharmacy claims data were collected from both FAERS and Twitter. In order to obtain data from FAERS, the SafeRx database, a curated collection of FAERS data, was used to collect data from March 1, 2016, to March 31, 2017. Twitter data were manually scraped during the same time period to extract similar data using an algorithm designed to minimize noise and false signals in social media data. RESULTS: A total of 40,539 FAERS ADR reports were obtained via SafeRx and more than 40,000 tweets containing the drug names were obtained from Twitter's Advanced Search engine. While the FAERS data were specific to ADRs, the Twitter data were more limited. Only hydrocodone/acetaminophen, prednisone, amoxicillin, gabapentin, and metformin had a sufficient volume of ADR content for review and comparison. For metformin, diarrhea was the side effect that resulted in no difference between the two platforms (P=.30). For hydrocodone/acetaminophen, ineffectiveness as an ADR that resulted in no difference (P=.60). For gabapentin, there were no differences in terms of the ADRs ineffectiveness and fatigue (P=.15 and P=.67, respectively). For amoxicillin, hypersensitivity, nausea, and rash shared similar profiles between platforms (P=.35, P=.05, and P=.31, respectively). CONCLUSIONS: FAERS and Twitter shared similarities in types of data reported and a few unique items to each data set as well. The use of Twitter as an ADR pharmacovigilance platform should continue to be studied as a unique and complementary source of information rather than a validation tool of existing ADR databases.

eHealth technologies assisting in identifying potential adverse interactions with complementary and alternative medicine (CAM) or standalone CAM adverse events or side effects: a scoping review.

BACKGROUND: While there are several existing eHealth technologies for drug-drug interactions and stand-alone drug adverse effects, it appears that considerably less attention is focussed on that of complementary and alternative medicine (CAM). Despite poor knowledge of their potential interactions and side effects, many patients use CAM. This justifies the need to identify what eHealth technologies are assisting in identifying potential 1) adverse drug interactions with CAM, 2) adverse CAM-CAM interactions or 3) standalone CAM adverse events or side effects. METHODS: A scoping review was conducted to identify eHealth technologies assisting in identifying potential adverse interactions with CAM or standalone CAM adverse events or side effects, following Arksey and O'Malley's five-stage scoping review framework. MEDLINE, EMBASE, and AMED databases and the Canadian Agency for Drugs and Technologies in Health website were systematically searched. Eligible articles had to have assessed or referenced an eHealth technology assisting in identifying potential one or more of the three aforementioned items. We placed no eligibility restrictions on type of eHealth technology. RESULTS: Searches identified 3467 items, of which 2763 were unique, and 2674 titles and abstracts were eliminated, leaving 89 full-text articles to be considered. Of those, 48 were not eligible, leaving a total of 41 articles eligible for review. From these 41 articles, 69 unique eHealth technologies meeting our eligibility criteria were identified. Themes which emerged from our analysis included the following: the lack of recent reviews of CAM-related healthcare information; a large number of databases; and the presence of government adverse drug/event surveillance. CONCLUSIONS: The present scoping review is the first, to our knowledge, to provide a descriptive map of the literature and eHealth technologies relating to our research question. We highlight that while an ample number of resources are available to healthcare providers, researchers, and patients, we caution that the quality and update frequency for many of these resources vary widely, and until formally assessed, remain unknown. We identify that a need exists to conduct an updated and systematically-searched review of CAM-related healthcare or research resources, as well as develop guidance documents associated with the development and evaluation of CAM-related eHealth technologies.

Named entity recognition from Chinese adverse drug event reports with lexical feature based BiLSTM-CRF and tri-training.

BACKGROUND: The Adverse Drug Event Reports (ADERs) from the spontaneous reporting system are important data sources for studying Adverse Drug Reactions (ADRs) as well as post-marketing pharmacovigilance. Apart from the conventional ADR information contained in the structured section of ADERs, more detailed information such as pre- and post- ADR symptoms, multi-drug usages and ADR-relief treatments are described in the free-text section, which can be mined through Natural Language Processing (NLP) tools. OBJECTIVE: The goal of this study was to extract ADR-related entities from free-text section of Chinese ADERs, which can act as supplements for the information contained in structured section, so as to further assist in ADR evaluation. METHODS: Three models of Conditional Random Field (CRF), Bidirectional Long Short-Term Memory-CRF (BiLSTM-CRF) and Lexical Feature based BiLSTM-CRF (LF-BiLSTM-CRF) were constructed to conduct Named Entity Recognition (NER) tasks in free-text section of Chinese ADERs. A semi-supervised learning method of tri-training was applied on the basis of the three established models to give un-annotated raw data with reliable tags. RESULTS: Among the three basic models, the LF-BiLSTM-CRF achieved the highest average F1 score of 94.35%. After the process of tri-training, almost half of the un-annotated cases were tagged with labels, and the performances of all the three models improved after iterative training. CONCLUSIONS: The LF-BiLSTM-CRF model that we constructed could achieve a comparatively high F1 score, and the fusion of CRF, while BiLSTM-CRF and LF-BiLSTM-CRF in tri-training might further strengthen the reliability of predicted tags. The results suggested the usefulness of our methods in developing the specialized NER tools for identifying ADR-related information from Chinese ADERs.

Proposta educativa sobre uso de medicamento de alta vigilância para profissionais de saúde / Educational proposal on the use of high surveillance medicine for health professionals

Objetivo: Desenvolver uma proposta educativa sobre segurança do paciente no uso de medicamentos de alta vigilância (MAV) para profissionais de saúde de unidades de terapia intensiva. Método: Estudo quantitativo, descritivo, quase-experimental, do tipo antes e depois, que foi realizado em um hospital privado de grande porte localizado em Niterói/RJ. Foi utilizada amostragem não-probabilística por conveniência. Participaram do estudo médicos, enfermeiros e técnicos de enfermagem. Analisaram-se as variáveis utilizando o teste do Qui-quadrado para avaliar os resultados. Resultados: A pesquisa antes e depois da proposta educativa apresentou aumento estatisticamente significativo de respostas com conotação negativa em 29,5% das perguntas. A notificação de incidentes relacionados a medicamento aumentou 28%, sendo que a classe dos opioides apresentou um incremento de 50%. Discussão: Atribui-se ao resultado da pesquisa a melhoria na compreensão dos aspectos sobre segurança do paciente, à falta de divulgação das ações promotoras da segurança do paciente incentivadas pela direção da instituição, e as ações de capacitação pontuais que são insuficientes aos profissionais. O aumento das notificações sobre medicamentos é bastante esperado, tendo em vista que erros os envolvendo são frequentes em pacientes internados, que quando em terapia intensiva utilizam rotineiramente opioides. Conclusão: Houve contribuição no aprimoramento do senso crítico relacionado à segurança do paciente e no aumento das notificações relativas ao tema abordado

Online tool for monitoring adverse events in patients with cancer during treatment (eRAPID): field testing in a clinical setting.

OBJECTIVES: Electronic patient self-Reporting of Adverse-events: Patient Information and aDvice (eRAPID) is an online system developed to support patient care during cancer treatment by improving the detection and management of treatment-related symptoms. Patients can complete symptom reports from home and receive severity-based self-management advice, including notifications to contact the hospital for severe symptoms. Patient data are available in electronic records for staff to review. Prior to the commencement of a randomised controlled trial (RCT), field testing of the intervention was undertaken to troubleshoot practical issues with intervention integration in clinical practice. DESIGN: Observational clinical field testing. SETTING: Medical oncology breast service in a UK cancer centre. PARTICIPANTS: 12 patients receiving chemotherapy for early breast cancer and 10 health professionals (oncologists and specialist nurses). INTERVENTION: Patients were asked to use the eRAPID intervention and complete weekly online symptom reports during four cycles of chemotherapy. Clinical staff were invited to access and use patient data in clinical assessments. ANALYSIS: Descriptive data on the frequency of online symptom report completion and severe symptom notifications were collated. Verbal and written feedback was collected from patients and staff and semistructured interviews were conducted to explore patient experiences. Interviews were transcribed and analysed thematically. RESULTS: The testing ran from January 2014 to March 2014. Feedback from patients and staff was largely positive. Patients described eRAPID as 'reassuring' and 'comforting' and valued the tailored management advice. Several changes were made to refine eRAPID. In particular, improvement of the clinical notification, patient reminder systems and changes to patient and staff training. CONCLUSIONS: The field testing generated valuable results used to guide refinement of eRAPID prior to formal intervention evaluation. Feedback indicated that eRAPID has the potential to improve patients' self-efficacy, knowledge and confidence with managing symptoms during treatment. A large-scale RCT is underway with data collection due to finish in October 2018.

Enhanced passive surveillance of influenza vaccination in England, 2016-2017- an observational study using an adverse events reporting card.

Influenza is a major public health burden, mainly prevented by vaccination. Recommendations on influenza vaccine composition are updated annually and constant benefit-risk monitoring is therefore needed. We conducted near-real-time enhanced passive surveillance (EPS) for the influenza vaccine, Fluarix Tetra, according to European Medicines Agency guidance, in 10 volunteer general practices in England using Fluarix Tetra as their principal influenza vaccine brand, from 1-Sep to 30-Nov-2016. The EPS method used a combination of routinely collected data from electronic health records (EHR) and a customized adverse events reporting card (AERC) distributed to participants vaccinated with Fluarix Tetra. For participants vaccinated with a different influenza vaccine, data were derived exclusively from the EHR. We reported weekly and cumulative incidence of pre-defined adverse events of interest (AEI) occurring within 7 days post-vaccination, adjusted for clustering effect. Of the 97,754 eligible participants, 19,334 (19.8%) received influenza vaccination, of whom 13,861 (71.7%) received Fluarix Tetra. A total of 1,049 participants receiving Fluarix Tetra reported AEIs; 703 (67%) used the AERC (adjusted cumulative incidence rate 4.96% [95% CI: 3.92-6.25]). Analysis by individual pre-specified AEI categories identified no safety signal for Fluarix Tetra. A total of 62 individuals reported an AEI with a known brand of non-GSK influenza vaccine and 54 with an unknown brand (adjusted cumulative incidence rate 2.59% [1.93-3.47] and 1.77% [1.42-2.20], respectively). In conclusion, the study identified no safety signal for Fluarix Tetra and showed that the AERC was a useful tool that complemented routine pharmacovigilance by allowing more comprehensive capture of AEIs.

Artificial Intelligence Within Pharmacovigilance: A Means to Identify Cognitive Services and the Framework for Their Validation.

INTRODUCTION: Pharmacovigilance (PV) detects, assesses, and prevents adverse events (AEs) and other drug-related problems by collecting, evaluating, and acting upon AEs. The volume of individual case safety reports (ICSRs) increases yearly, but it is estimated that more than 90% of AEs go unreported. In this landscape, embracing assistive technologies at scale becomes necessary to obtain a higher yield of AEs, to maintain compliance, and transform the PV professional work life. AIM: The aim of this study was to identify areas across the PV value chain that can be augmented by cognitive service solutions using the methodologies of contextual analysis and cognitive load theory. It will also provide a framework of how to validate these PV cognitive services leveraging the acceptable quality limit approach. METHODS: The data used to train the cognitive service were an annotated corpus consisting of 20,000 ICSRS from which we developed a framework to identify and validate 40 cognitive services ranging from information extraction to complex decision making. This framework addresses the following shortcomings: (1) needing subject-matter expertise (SME) to match the artificial intelligence (AI) model predictions to the gold standard, commonly referred to as 'ground truth' in the AI space, (2) ground truth inconsistencies, (3) automated validation of prediction missing context, and (4) auto-labeling causing inaccurate test accuracy. The method consists of (1) conducting contextual analysis, (2) assessing human cognitive workload, (3) determining decision points for applying artificial intelligence (AI), (4) defining the scope of the data, or annotated corpus required for training and validation of the cognitive services, (5) identifying and standardizing PV knowledge elements, (6) developing cognitive services, and (7) reviewing and validating cognitive services. RESULTS: By applying the framework, we (1) identified 51 decision points as candidates for AI use, (2) standardized the process to make PV knowledge explicit, (3) embedded SMEs in the process to preserve PV knowledge and context, (4) standardized acceptability by using established quality inspection principles, and (5) validated a total of 126 cognitive services. CONCLUSION: The value of using AI methodologies in PV is compelling; however, as PV is highly regulated, acceptability will require assurances of quality, consistency, and standardization. We are proposing a foundational framework that the industry can use to identify and validate services to better support the gathering of quality data and to better serve the PV professional.

Dedicated mobile application for drug adverse reaction reporting by patients with relapsing remitting multiple sclerosis (Vigip-SEP study): study protocol for a randomized controlled trial.

BACKGROUND: The reporting of adverse drug reactions (ADR) by patients represents an interesting challenge in the field of pharmacovigilance, but the reporting system is not adequately implemented in France. In 2015, only 20 MS patients in France reported ADR due to first-line disease-modifying drugs (DMD), while more than 3000 patients were initiated on DMD. The aim of this study is to validate a proof-of-concept as to whether the use of a mobile application (App) increases ADR reporting among patients with relapsing-remitting multiple sclerosis (RR-MS) receiving DMD. METHODS/DESIGN: We designed a multi-centric, open cluster-randomized controlled trial, called the Vigip-SEP study (NCT03029897), using the App My eReport France® to report ADR to the appropriate authorities in E2B language, in accordance with European regulations. RR-MS patients who were initiated on, or switched, first-line DMD will be included. In the experimental arm, a neurologist will introduce the patient to the App to report ADR to the appropriate French authorities. In the control arm, the patient will be informed of the existence of the App but will not be introduced to its use and will then report ADR according to the usual reporting procedures. Primary assessment criteria are defined as the average number of ADR per patient and per center. We assume that the App will increase patient reporting by 10-fold. Therefore, we will require 24 centers (12 per arm: 6 MS academic expert centers, 3 general hospitals, 3 private practice neurologists), allowing for an expected enrollment of 180 patients (alpha risk 5%, power 90% and standard deviation 4%). DISCUSSION: Increasing patient reporting of ADR in a real-life setting is extremely important for therapeutic management of RR-MS, particularly for monitoring newly approved DMD to gain better knowledge of their safety profiles. To increase patient involvement, teaching patients to use tools, such as mobile applications, should be encouraged, and these tools should be tested rigorously. TRIAL REGISTRATION: ClinicalTrials.gov , ID: NCT03029897 . Registered on 20 January 2017.

Improving the assessment of adverse drug reactions using the Naranjo Algorithm in daily practice: The Japan Adverse Drug Events Study.

It is difficult to determine adverse drug reactions (ADRs) in daily complicated clinical practice in which many kinds of drugs are prescribed. We evaluated how well the Naranjo Algorithm (NA) categorized ADRs among suspected ADRs. The Japan Adverse Drug Events (JADE) study was a prospective cohort study of 3459 inpatients. After all suspected ADRs were reported from research assistants, a single physician reviewer independently assigned an NA score to each. After all NA score of suspected ADRs were scored, two physician reviewers discussed and determined ADRs based on the literature. We investigated the sensitivity and specificity of NA and each component to categorize ADRs among suspected ADRs. A total of 1579 suspected ADRs were reported in 962 patients. Physician reviewers determined 997 ADRs. The percentage of ADRs was 94% if the total NA score reached 5. The modified NA consisted of 5 components that showed high classification abilities; its area under the curve (AUC) was 0.92 for categorizing ADRs, the same as the original. When we set the total NA score cut-off value to 5, specificity was 0.95 and sensitivity was 0.59. When we reclassified NA components as binary variables, the specificity increased to 0.98 with a cut-off value of 4 and yielded an AUC of 0.93. In conclusion, we showed that both NA and modified NA could categorize ADRs among suspected ADRs with a high likelihood in daily clinical practice.

ADVERPred-Web Service for Prediction of Adverse Effects of Drugs.

Application of structure-activity relationships (SARs) for the prediction of adverse effects of drugs (ADEs) has been reported in many published studies. Training sets for the creation of SAR models are usually based on drug label information which allows for the generation of data sets for many hundreds of drugs. Since many ADEs may not be related to drug consumption, one of the main problems in such studies is the quality of data on drug-ADE pairs obtained from labels. The information on ADEs may be included in three sections of the drug labels: "Boxed warning," "Warnings and Precautions," and "Adverse reactions." The first two sections, especially Boxed warning, usually contain the most frequent and severe ADEs that have either known or probable relationships to drug consumption. Using this information, we have created manually curated data sets for the five most frequent and severe ADEs: myocardial infarction, arrhythmia, cardiac failure, severe hepatotoxicity, and nephrotoxicity, with more than 850 drugs on average for each effect. The corresponding SARs were built with PASS (Prediction of Activity Spectra for Substances) software and had balanced accuracy values of 0.74, 0.7, 0.77, 0.67, and 0.75, respectively. They were implemented in a freely available ADVERPred web service ( http://www.way2drug.com/adverpred/ ), which enables a user to predict five ADEs based on the structural formula of compound. This web service can be applied for estimation of the corresponding ADEs for hits and lead compounds at the early stages of drug discovery.

Electronic patient self-Reporting of Adverse-events: Patient Information and aDvice (eRAPID): a randomised controlled trial in systemic cancer treatment.

BACKGROUND: eRAPID (electronic patient self-Reporting of Adverse-events: Patient Information and aDvice) is an internet based system for patients to self-report symptoms and side effects (adverse events or AE) of cancer treatments. eRAPID allows AE reporting from home and patient reported data is accessible via Electronic Patient Records (EPR) for use in routine care. The system can generate alerts to clinical teams for severe AE and provides patient advice on managing mild AEs. The overall aims of eRAPID are to improve the safe delivery of cancer treatments, enhance patient care and standardise AE documentation. METHODS: The trial is a prospective randomised two-arm parallel group design study with repeated measures and mixed methods. Participants (adult patients with breast cancer on neo-adjuvant or adjuvant chemotherapy, colorectal and gynaecological cancer receiving chemotherapy) are randomised to receive the eRAPID intervention or usual care over 18 weeks of treatment. Participants in the intervention arm receive training in using the eRAPID system to provide routine weekly adverse event reports from home. Hospital staff can access eRAPID reports via the EPR and use the information during consultations or phone calls with patients. Prior to commencing the full trial an internal pilot phase was conducted (N = 87 participants) to assess recruitment procedures, consent and attrition rates, the integrity of the intervention information technology and establish procedures for collecting outcome data. The overall target sample for the trial is N = 504. The primary outcome of the trial is quality of life (FACT-G) with secondary outcomes including health economics (costs to patients and the NHS), process of care (e.g. contacts with the hospital, number of admissions, clinic appointments and changes to treatment/medications) and patient self-efficacy. Outcome data is collected at baseline, 6, 12, 18 weeks and 12 months. The intervention is also being evaluated via end of study interviews with patient participants and clinical staff. DISCUSSION: The pilot phase was completed in February 2016 and recruitment and attrition rates met criteria for continuing to the full trial. Recruitment recommenced in May 2016 and is planned to continue until December 2017. Overall findings will determine the value of the eRAPID intervention for supporting the care of patients receiving systemic cancer treatment. TRIAL REGISTRATION: Current Controlled Trials ISRCTN88520246 . Registered 11 September 2014.

From a Suspect Victim to the Holmes: The Unexpected Value of a Home-Made Mobile Chemotherapy Medication Administration System.

Nurse used to be the first one to be investigated in a drug adverse event. Our newly hospital-wide implemented home-made mobile chemotherapy medication support system, which has released our nurses from the traditional heavy 2-nurse-double-checking loading, was unexpectedly used to protect our nurses from being suspected in a recent event of over delivery of infusion. The outcome turned us to reexamine the device maintenance and test protocols.

Promoting adverse drug reaction reporting: comparison of different approaches.

OBJECTIVE: To describe different approaches to promote adverse drug reaction reporting among health care professionals, determining their cost-effectiveness. METHODS: We analyzed and compared several approaches taken by the Northern Pharmacovigilance Centre (Portugal) to promote adverse drug reaction reporting. Approaches were compared regarding the number and relevance of adverse drug reaction reports obtained and costs involved. Costs by report were estimated by adding the initial costs and the running costs of each intervention. These costs were divided by the number of reports obtained with each intervention, to assess its cost-effectiveness. RESULTS: All the approaches seem to have increased the number of adverse drug reaction reports. We noted the biggest increase with protocols (321 reports, costing 1.96 € each), followed by first educational approach (265 reports, 20.31 €/report) and by the hyperlink approach (136 reports, 15.59 €/report). Regarding the severity of adverse drug reactions, protocols were the most efficient approach, costing 2.29 €/report, followed by hyperlinks (30.28 €/report, having no running costs). Concerning unexpected adverse drug reactions, the best result was obtained with protocols (5.12 €/report), followed by first educational approach (38.79 €/report). CONCLUSIONS: We recommend implementing protocols in other pharmacovigilance centers. They seem to be the most efficient intervention, allowing receiving adverse drug reactions reports at lower costs. The increase applied not only to the total number of reports, but also to the severity, unexpectedness and high degree of causality attributed to the adverse drug reactions. Still, hyperlinks have the advantage of not involving running costs, showing the second best performance in cost per adverse drug reactions report.

Literature review of visual representation of the results of benefit-risk assessments of medicinal products.

BACKGROUND: The PROTECT Benefit-Risk group is dedicated to research in methods for continuous benefit-risk monitoring of medicines, including the presentation of the results, with a particular emphasis on graphical methods. METHODS: A comprehensive review was performed to identify visuals used for medical risk and benefit-risk communication. The identified visual displays were grouped into visual types, and each visual type was appraised based on five criteria: intended audience, intended message, knowledge required to understand the visual, unintentional messages that may be derived from the visual and missing information that may be needed to understand the visual. RESULTS: Sixty-six examples of visual formats were identified from the literature and classified into 14 visual types. We found that there is not one single visual format that is consistently superior to others for the communication of benefit-risk information. In addition, we found that most of the drawbacks found in the visual formats could be considered general to visual communication, although some appear more relevant to specific formats and should be considered when creating visuals for different audiences depending on the exact message to be communicated. CONCLUSION: We have arrived at recommendations for the use of visual displays for benefit-risk communication. The recommendation refers to the creation of visuals. We outline four criteria to determine audience-visual compatibility and consider these to be a key task in creating any visual. Next we propose specific visual formats of interest, to be explored further for their ability to address nine different types of benefit-risk analysis information.

Promoting adverse drug reaction reporting: comparison of different approaches / Promoção da notificação de reações adversas a medicamentos: comparação de estratégias

ABSTRACT OBJECTIVE To describe different approaches to promote adverse drug reaction reporting among health care professionals, determining their cost-effectiveness. METHODS We analyzed and compared several approaches taken by the Northern Pharmacovigilance Centre (Portugal) to promote adverse drug reaction reporting. Approaches were compared regarding the number and relevance of adverse drug reaction reports obtained and costs involved. Costs by report were estimated by adding the initial costs and the running costs of each intervention. These costs were divided by the number of reports obtained with each intervention, to assess its cost-effectiveness. RESULTS All the approaches seem to have increased the number of adverse drug reaction reports. We noted the biggest increase with protocols (321 reports, costing 1.96 € each), followed by first educational approach (265 reports, 20.31 €/report) and by the hyperlink approach (136 reports, 15.59 €/report). Regarding the severity of adverse drug reactions, protocols were the most efficient approach, costing 2.29 €/report, followed by hyperlinks (30.28 €/report, having no running costs). Concerning unexpected adverse drug reactions, the best result was obtained with protocols (5.12 €/report), followed by first educational approach (38.79 €/report). CONCLUSIONS We recommend implementing protocols in other pharmacovigilance centers. They seem to be the most efficient intervention, allowing receiving adverse drug reactions reports at lower costs. The increase applied not only to the total number of reports, but also to the severity, unexpectedness and high degree of causality attributed to the adverse drug reactions. Still, hyperlinks have the advantage of not involving running costs, showing the second best performance in cost per adverse drug reactions report.

RESUMO OBJETIVO Descrever diferentes abordagens de promoção da notificação de reações adversas a medicamentos entre os profissionais de saúde, determinando o seu custo-eficácia. MÉTODOS Foram analisadas e comparadas estratégias adotadas pela Unidade de Farmacovigilância do Norte (Portugal) para promoção da notificação de reações adversas a medicamentos. As estratégias foram comparadas quanto ao número e relevância das notificações de reações adversas a medicamentos obtidas e quanto aos custos envolvidos. Os custos por notificação foram calculados somando os custos iniciais e os custos de manutenção de cada estratégia. Esses custos foram então divididos pelo número de notificações obtidas em cada intervenção, para avaliar o seu custo-eficácia. RESULTADOS Todas as abordagens aumentaram o número de notificações de reações adversas a medicamentos. O maior aumento foi observado com os protocolos (321 notificações de reações adversas a medicamentos ganhas, custando 1,96 € cada), seguidos pela primeira abordagem educacional (265 notificações, 20,31 € cada) e pela colocação de hyperlinks (136 notificações, 15,59 € cada). Com relação à gravidade das reações adversas a medicamentos, os protocolos foram a estratégia mais eficiente, custando 2,29 € cada notificação, seguida da colocação de hyperlinks (30,28 € cada, sem custos de manutenção). Quanto às reações adversas a medicamentos inesperadas, o melhor resultado pertenceu aos protocolos (5,12 € cada notificação), seguido por uma primeira abordagem educativa (38,79 € cada notificação). CONCLUSÕES Os autores recomendam a implementação de protocolos em outros centros de farmacovigilância. De fato, estes parecem ser a intervenção mais eficaz, permitindo receber notificações de RAM com custos mais baixos, aplicando-se este aumento tanto ao número total de notificações de reações adversas a medicamentos, como à gravidade, imprevisibilidade e alto grau de causalidade atribuído a elas. Ainda assim, a colocação de hyperlinks apresenta a vantagem de não envolver custos de manutenção, por isso tem o segundo melhor desempenho no indicador custo por notificação de reações adversas a medicamentos.

Risk factors for recurrent wheezing in infants: a case-control study / Fatores de risco para sibilância recorrente em lactentes: estudo caso-controle

ABSTRACT OBJECTIVE To evaluate the association between recurrent wheezing and atopy, the Asthma Predictive Index, exposure to risk factors, and total serum IgE levels as potential factors to predict recurrent wheezing. METHODS A case-control study with infants aged 6-24 months treated at a specialized outpatient clinic from November 2011 to March 2013. Evaluations included sensitivity to inhalant and food antigens, positive Asthma Predictive Index, and other risk factors for recurrent wheezing (smoking during pregnancy, presence of indoor smoke, viral infections, and total serum IgE levels). RESULTS We evaluated 113 children: 65 infants with recurrent wheezing (63.0% male) with a mean age of 14.8 (SD = 5.2) months and 48 healthy infants (44.0% male) with a mean age of 15.2 (SD = 5.1) months. In the multiple analysis model, antigen sensitivity (OR = 12.45; 95%CI 1.28-19.11), positive Asthma Predictive Index (OR = 5.57; 95%CI 2.23-7.96), and exposure to environmental smoke (OR = 2.63; 95%CI 1.09-6.30) remained as risk factors for wheezing. Eosinophilia ≥ 4.0% e total IgE ≥ 100 UI/mL were more prevalent in the wheezing group, but failed to remain in the model. Smoking during pregnancy was identified in a small number of mothers, and secondhand smoke at home was higher in the control group. CONCLUSIONS Presence of atopy, positive Asthma Predictive Index and exposure to environmental smoke are associated to recurrent wheezing. Identifying these factors enables the adoption of preventive measures, especially for children susceptible to persistent wheezing and future asthma onset.

RESUMO OBJETIVO Avaliar a associação entre a sibilância recorrente e atopia, o Índice Preditivo para Asma, exposição a fatores de risco e dosagem de IgE sérica total como possíveis fatores preditores de sibilância recorrente. MÉTODOS Estudo caso-controle com crianças de seis a 24 meses de idade atendidas em ambulatório especializado entre novembro de 2011 e março de 2013. Foram avaliados a sensibilização a antígenos inaláveis e alimentares, positividade para o Índice Preditivo para Asma e outros fatores de risco para sibilância recorrente (tabagismo durante a gravidez, presença de fumaça na residência, infecções virais e dosagem de IgE total). RESULTADOS Foram avaliadas 113 crianças, sendo 65 lactentes sibilantes recorrentes (63,0% do sexo masculino) com média de idade de 14,8 (DP = 5,2) meses e 48 lactentes saudáveis (44,0% do sexo masculino) com média de idade de 15,2 (DP = 5,1) meses. No modelo de análise múltipla, a sensibilização a antígenos (OR = 12,45; IC95% 1,28-19,11), Índice Preditivo para Asma positivo (OR = 5,57; IC95% 2,23-7,96) e exposição à fumaça ambiental (OR = 2,63; IC95% 1,09-6,30) permaneceram como fatores de risco para sibilância. Eosinofilia ≥ 4,0% e IgE total ≥ 100 UI/mL foram mais prevalentes no grupo sibilante, mas não permaneceram no modelo. O tabagismo na gestação foi identificado em pequeno número de mães e o tabagismo domiciliar foi maior no grupo controle. CONCLUSÕES A presença de atopia, a positividade ao Índice Preditivo para Asma e a exposição à fumaça ambiental estão associadas à sibilância recorrente. A identificação desses fatores permite a adoção de medidas preventivas, especialmente nas crianças susceptíveis à persistência de sibilância e ao surgimento de asma no futuro.

Validation of triggers and development of a pediatric trigger tool to identify adverse events.

BACKGROUND: Little is known about adverse events (AEs) in pediatric patients. Record review is a common methodology for identifying AEs, but in pediatrics the record review tools generally have limited focus. The aim of the present study was to develop a broadly applicable record review tool to identify AEs in pediatric inpatients. METHODS: Using a broad literature review and expert opinion with a modified Delphi process, a pediatric trigger tool with 88 triggers, definitions, and descriptions including AE preventability decision support was developed and tested in a random sample of 600 hospitalized pediatric patients admitted in 2010 to a single university children's hospital. Four registered nurse-physician teams performed complete two-stage retrospective reviews of 150 records each from either neonatal, surgical/orthopedic, medicine, or emergency medicine units. RESULTS: Registered nurse review identified 296 of 600 records with triggers indicating potential AEs. Records (n = 121) with only false positive triggers not indicating any potential AEs were not forwarded to the next review stage. On subsequent physician review, 204 (34.0%) of patients were found to have had 563 AEs, range 1-27 AEs/patient. A total of 442 preventable AEs were found in 161 patients (26.8%), range 1-22. Overall, triggers were found 3,598 times in 417 (69.5%) records, with a mean of 6 (median 1, range 0-176) triggers per patient. The overall positive predictive value of the triggers was 22.9%, (range 0.0-100.0%). The final pediatric trigger tool, developed with a second Delphi round, required 29 triggers. CONCLUSIONS: AEs are common in pediatric patients and most are preventable. The main contributions of this study are to further develop and adapt trigger definitions, including AE preventability decision support, to introduce new triggers in pediatric care, as well as to apply pediatric triggers in different clinical specialties. Our findings resulted in a national pediatric trigger tool, and might also be adapted internationally. The pediatric trigger tool can help healthcare organizations to measure and analyze the AEs occurring in hospitalized children in order to improve patient safety.

An observational study to compare the contents and quality of information furnished in CDSCO ADR reporting form, yellow card, medwatch and blue form by the healthcare professionals.

BACKGROUND: Spontaneous adverse drug reaction (ADR) reporting form is a vital tool for collecting information about ADRs, which helps in establishing the causal assessment and generating a signal. This is feasible if quality information is translated into the reporting form by health care professional (HCPs). Hence, present study was carried out to compare efficiency of HCPs in translating suspected ADR information in the spontaneous reporting forms and to compare the ADR reporting forms of different countries and their duration of training in pharmacovigilance. METHODS: In a cross-sectional study, 50 doctors, 50 Nurses and 50 Pharmacists were asked to fill different reporting forms (CDSCO form, Medwatch, Yellow card and the Blue form) using different simulated ADR case reports. Filled forms were analysed for their contents, information captured and time taken to fill these forms. They were also asked about their training and exposure to pharmacovigilance related activities. RESULTS: All the spontaneous ADR reporting forms had 24-26 data elements to furnish information. Information regarding dechallenge was lacking in the Yellow card and Blue form. Blue form also lacked the information on rechallenge. Overall nurses took longer time to fill all the ADR reporting forms as compared to the doctors and pharmacists. Majority of HCPs missed to fill reporter's information in all the forms. CONCLUSION: Study suggested that the quality of information translated by the HCPs needs improvement for which they should be sensitized periodically on the basic elements of pharmacovigilance.

Development and clinical gains of nurse-led medication monitoring profiles.

AIM: This paper reports on the development of an instrument for nurse-led medication monitoring, the West Wales Adverse Drug Reaction profile for respiratory medicines, as part of a strategy to reduce avoidable adverse drug reactions. BACKGROUND: Preventable adverse drug reactions account for 3.7% hospital admissions. Nurse-led medication monitoring may reduce drug-related harm. However, development of medication monitoring strategies is not reported elsewhere. METHODS: The profile was developed by: (1) cognitive interviews (n = 4), (2) the content validity index (n = 10) involving academics, clinicians and service users prescribed respiratory medicines, (3) inter-rater reliability (n = 48) and clinical gains in a nurse-led outpatient clinic. RESULTS: Cognitive interviews prompted more profile changes than either the content validity index or inter-rater reliability testing. Cohen's κ for inter-rater reliability for each item ranged from 0.73-1.00 (good to complete agreement). The profile identified previously unsuspected problems in all participants, including muscular weakness, skin and mouth problems. CONCLUSIONS: The West Wales Adverse Drug Reaction profile was valid and reliable, and helped to detect and ameliorate drug-related harm. IMPLICATIONS FOR NURSING MANAGEMENT: The West Wales Adverse Drug Reaction profile offers opportunities to improve care. Medication monitoring provides the structure to concurrently monitor known adverse drug reactions. Practice-based adverse drug reaction profiles benefit from cognitive, content validity and inter-rater reliability testing.

Building a time-saving and adaptable tool to report adverse drug events.

The difficult task of detecting adverse drug events (ADEs) and the tedious process of building manual reports of ADE occurrences out of patient profiles result in a majority of adverse reactions not being reported to health regulatory authorities. The SALUS individual case safety report (ICSR) reporting tool, a component currently developed within the SALUS project, aims to support semi-automatic reporting of ADEs to regulatory authorities. In this paper, we present an initial design and current state of of our ICSR reporting tool that features: (i) automatic pre-population of reporting forms through extraction of the patient data contained in an Electronic Health Record (EHR); (ii) generation and electronic submission of the completed ICSRs by the physician to regulatory authorities; and (iii) integration of the reporting process into the physician's work-flow to limit the disturbance. The objective is to increase the rates of ADE reporting and the quality of the reported data. The SALUS interoperability platform supports patient data extraction independently of the EHR data model in use and allows generation of reports using the format expected by regulatory authorities.