Initiatives to identify and mitigate medication errors in England

In response to the EU Directive on Pharmacovigilance, the National Health Service (NHS) in England and the Medicines and Healthcare Products Regulatory Agency (MHRA) in the UK have formed a partnership to work together to simplify and increase medication error reporting, improve data report quality, maximise learning and guide practice to minimise harm from medication errors by sharing incident data. This initiative will facilitate implementation of new requirements for medication error reporting and reduce the need for duplicate data entry by frontline staff. The initiative is also intended to provide new types of feedback from the National Reporting and Learning System run by the NHS England and from the Yellow Card Scheme run by the MHRA and to improve learning at the local level by clarifying medication safety roles and identifying key safety contacts to allow better communication between local and national levels. Finally, the partnership has established a new National Medication Safety Network to provide a forum for discussing potential and recognised safety issues, and for identifying trends and actions to improve the safe use of medicines. This article describes the initiative, the structure of which may act as a template for other countries.

Correlation between Drug Market Withdrawals and Socioeconomic, Health, and Welfare Indicators Worldwide

The relationship between the number of withdrawn/restricted drugs and socioeconomic, health, and welfare indicators were investigated in a comprehensive review of drug regulation information in the United Nations (UN) countries. A total of of 362 drugs were withdrawn and 248 were restricted during 1950-2010, corresponding to rates of 12.02 ± 13.07 and 5.77 ± 8.69 (mean ± SD), respectively, among 94 UN countries. A socioeconomic, health, and welfare analysis was performed for 33 OECD countries for which data were available regarding withdrawn/restricted drugs. The gross domestic product (GDP) per capita, GDP per hour worked, health expenditure per GDP, and elderly population rate were positively correlated with the numbers of withdrawn and restricted drugs (P < 0.05), while the out-of-pocket health expenditure payment rate was negatively correlated. The number of restricted drugs was also correlated with the rate of drug-related deaths (P < 0.05). The World Bank data cross-validated the findings of 33 OECD countries. The lists of withdrawn/restricted drugs showed markedly poor international agreement between them (Fleiss's kappa = -0.114). Twenty-seven drugs that had been withdrawn internationally by manufacturers are still available in some countries. The wide variation in the numbers of drug withdrawals and restrictions among countries indicates the need to improve drug surveillance systems and regulatory communication networks.

Continuous versus group sequential analysis for post-market drug and vaccine safety surveillance

The use of sequential statistical analysis for post-market drug safety surveillance is quickly emerging. Both continuous and group sequential analysis have been used, but consensus is lacking as to when to use which approach. We compare the statistical performance of continuous and group sequential analysis in terms of type I error probability; statistical power; expected time to signal when the null hypothesis is rejected; and the sample size required to end surveillance without rejecting the null. We present a mathematical proposition to show that for any group sequential design there always exists a continuous sequential design that is uniformly better. As a consequence, it is shown that more frequent testing is always better. Additionally, for a Poisson based probability model and a flat rejection boundary in terms of the log likelihood ratio, we compare the performance of various continuous and group sequential designs. Using exact calculations, we found that, for the parameter settings used, there is always a continuous design with shorter expected time to signal than the best group design. The two key conclusions from this article are (i) that any post-market safety surveillance system should attempt to obtain data as frequently as possible, and (ii) that sequential testing should always be performed when new data arrives without deliberately waiting for additional data.

The monitoring medicines project: a multinational pharmacovigilance and public health project

The Monitoring Medicines project (MM), funded by the FP-7 EU framework, was carried out between 2009 and 2013 by a consortium of 11 partners. The objectives were to support and strengthen consumer reporting of adverse drug reactions (ADRs); expand the role and scope of national pharmacovigilance centres concerning medication errors; promote improved use of pharmacovigilance data; and develop methods to complement spontaneous reporting. The work was organised into four themes: patient reporting; medication errors; drug dependence, counterfeit and substandard medicines and clinical risk estimation; and active and targeted spontaneous pharmacovigilance. MM differed from some other major pharmacovigilance initiatives by having participants from developing countries in Asia and Africa and in leaning towards public health and communicable diseases. MM brought together stakeholders including WHO, drug regulators, pharmacovigilance centres, consumers, public health and disease specialists and patient safety networks. Resources and methodologies developed directly by, or with support from, MM include electronic systems/tools for consumer ADR reporting and cohort event monitoring; publication by WHO of handbooks on consumer reporting, medication errors and pharmacovigilance for TB medicines; methodologies for detecting drug dependence and substandard or counterfeit medicines in ADR databases; and a database on HIV treatment risks with a risk assessment tool. MM enabled stakeholders to achieve more than if they had worked alone in pursuit of patient safety.

Using 'big data' to validate claims made in the pharmaceutical approval process

Big Data in the healthcare setting refers to the storage, assimilation, and analysis of large quantities of information regarding patient care. These data can be collected and stored in a wide variety of ways including electronic medical records collected at the patient bedside, or through medical records that are coded and passed to insurance companies for reimbursement. When these data are processed it is possible to validate claims as a part of the regulatory review process regarding the anticipated performance of medications and devices. In order to analyze properly claims by manufacturers and others, there is a need to express claims in terms that are testable in a timeframe that is useful and meaningful to formulary committees. Claims for the comparative benefits and costs, including budget impact, of products and devices need to be expressed in measurable terms, ideally in the context of submission or validation protocols. Claims should be either consistent with accessible Big Data or able to support observational studies where Big Data identifies target populations. Protocols should identify, in disaggregated terms, key variables that would lead to direct or proxy validation. Once these variables are identified, Big Data can be used to query massive quantities of data in the validation process. Research can be passive or active in nature. Passive, where the data are collected retrospectively; active where the researcher is prospectively looking for indicators of co-morbid conditions, side-effects or adverse events, testing these indicators to determine if claims are within desired ranges set forth by the manufacturer. Additionally, Big Data can be used to assess the effectiveness of therapy through health insurance records. This, for example, could indicate that disease or co-morbid conditions cease to be treated. Understanding the basic strengths and weaknesses of Big Data in the claim validation process provides a glimpse of the value that this research can provide to industry. Big Data can support a research agenda that focuses on the process of claims validation to support formulary submissions as well as inputs to ongoing disease area and therapeutic class reviews.

[A prevalence study to monitor the consumption of antibiotics]

Following the second Antibiotics Plan, in association with the hospital hygiene operational team, the hospital pharmacy department of the Desgenettes military teaching hospital led a study into the prevalence of the prescribing of antibiotics in December 2011. The study highlighted the trends in prescriptions and assessed the effectiveness of corrective or preventive actions implemented following the first prevalence study of 2006, in particular the multidisciplinary antibiotherapy coordination meetings.

"First-wave" bias when conducting active safety monitoring of newly marketed medications with outcome-indexed self-controlled designs

Large health care databases are used extensively for pharmacoepidemiologic studies. Unique methodological issues arise when applying self-controlled designs (i.e., using within-person comparisons) for active surveillance of newly marketed drugs. We use 3 examples to illustrate bias related to population-level exposure time trends when using outcome-indexed self-controlled (i.e., case-crossover) designs for active surveillance and evaluate the ability of the case-time-control design to adjust for bias from population-level exposure time trends. We mimicked active surveillance by conducting sequential analyses after market entry for 3 medications and outcomes (valdecoxib for myocardial infarction (MI), aripiprazole for MI, and telithromycin for acute liver failure) using Medicaid Analytic eXtracts (from all 50 US states, 2000-2006). The case-crossover exposure odds ratio (EOR) in the months immediately following valdecoxib market entry implausibly suggested a 12-fold higher risk of MI during exposed time relative to unexposed time; among age-, sex-, and time-matched controls, the corresponding EOR of 4.5 indicated strong population-level exposure time trends. Over subsequent monitoring periods, case-crossover EORs rapidly dropped to 1.4. Adjustment for bias from population-level exposure time trends with the case-time-control analysis resulted in more consistent associations between valdecoxib and MI across sequential monitoring periods. Similar results were observed in each example. Strong population-level exposure time trends can bias case-crossover studies conducted among "first-wave" users of newly marketed medications. Suggested strategies can help assess and adjust for population-level exposure time trends.

[Interpretation of contemporary positioning of traditional Chinese medicine injections and analysis of key problems]

According to the current situations and development of (TCMIs), the author of the article reveals the scientific connotation of TCMIs in theory, preparations and clinic application, and points out that TCMIs are an innovative and breakthrough of conventional dosage forms of traditional Chinese medicines, the combination of traditional theory and modern technology as well as a type of modern dosage form with the characteristics of traditional Chinese medicines, which conforms to the principle of including the essence and excluding the wastes for traditional Chinese medicine preparations, meets the demands for quick-acting of traditional Chinese medicines and guides one of the development orientation of traditional Chinese medicines. In the meantime, an analysis was also made on key issues, such as adverse reactions of TCMIs, modern clinical application, special drug delivery route and diversity of components and ingredients.

Ranolazine refractory angina registry: 1-year results

Patients with refractory angina (RA) have limited therapeutic options and significant limitations in their quality of life. Ranolazine is approved for patients with chronic stable angina but has not been studied in patients with RA. The Ranolazine Refractory Angina Registry was designed to evaluate the safety, tolerability, and effectiveness in RA patients. In a dedicated RA clinic using an extensive prospective database, 100 patients were enrolled. Angina class, medications, major adverse cardiac events including death, myocardial infarction, and revascularization were obtained at 1, 6, and 12 months. Overall 43% of patients had a ≥2 class improvement in angina. At 1 year, 57% patients remained on ranolazine (91.2%; 500 mg BID), including 58% with a ≥2 class improvement in angina. Reasons for discontinuation included: side effects (n = 16), major adverse cardiac events (n = 10), cost (n = 5), ineffective (n = 6), cost and ineffective (n = 3), and unknown (n = 3). In conclusion, ranolazine is an effective antianginal therapy in patients with RA; still at 1 year only 57% of patients remained on ranolazine because of side effects, suboptimal effectiveness, cost, or progression of disease.

Gluten content of barium sulfate suspensions used for barium swallows in patients with celiac disease

PURPOSE

To determine the availability and accuracy of information provided by hospitals, imaging centers, and manufacturers regarding gluten in barium sulfate suspensions.

METHODS

A total of 105 facilities were contacted via telephone to determine the gluten content of the contrast media used in those facilities. Manufacturers were contacted and their Web sites reviewed to determine the gluten content of their barium products.

RESULTS

Thirty-nine percent of the hospitals and 52% of the imaging centers were not aware of the gluten content of the contrast media they used. Twenty-nine-and-a-half percent of the respondents provided the correct gluten content. The manufacturers noted that 5 products were tested and confirmed gluten free, 1 product was not tested but described as gluten free, 1 product's gluten content depended upon its flavor, and 1 product was reported to contain gluten.

DISCUSSION

Clinicians caring for patients with celiac disease or patients who choose to restrict their gluten consumption must ensure that the barium sulfate suspension ingested is gluten free.

CONCLUSION

It can be difficult to determine the gluten content of barium sulfate, as a majority of radiology departments and imaging centers did not know whether the product they use is gluten free. Educating staff members and improving product labeling would benefit the quality of care provided to patients with celiac disease.

Tocilizumab in rheumatoid arthritis: a case study of safety evaluations of a large postmarketing data set from multiple data sources

OBJECTIVES

To evaluate the magnitude of serious adverse events (SAEs) observed in postmarketing reports of tocilizumab (TCZ) for rheumatoid arthritis (RA) in relation to SAEs observed in TCZ clinical trials and external epidemiology data.

METHODS

A total of 64,000 patient-years (PY) of TCZ exposure was needed to determine, with 90% power, whether rates of SAEs of interest (eg, death, hepatic, gastrointestinal, and cardiovascular) were ≥50% higher (agreed with the Food and Drug Administration) than expected. Reporting rates were calculated for spontaneously reported SAEs, open-label or unblinded postmarketing clinical trials (phase 3b/4), and a Japanese postmarketing surveillance program in the global postmarketing safety database. Event rates were calculated for the registrational placebo-controlled trials and long-term extension data. External comparators for anti-tumor necrosis factor (aTNF)-treated RA patients were derived from a US-based health care insurance claims database or published literature.

RESULTS

The global postmarketing safety database provided 65,099 PY of TCZ exposure; the aTNF external comparator population provided 53,360 PY. Spontaneous reporting rates per 100 PY (95% confidence interval) were 8.3 (8.1, 8.5) SAEs, 0.39 (0.34, 0.44) deaths, 0.06 (0.04, 0.08) serious hepatic events, 0.15 (0.12, 0.18) serious gastrointestinal events, 0.09 (0.07, 0.12) serious myocardial infarctions, 0.15 (0.12, 0.18) serious strokes, and 0.07 (0.05, 0.09) cardiac deaths in the global postmarketing safety database. These were of similar magnitude to corresponding rates from registrational clinical trials, the aTNF external comparator population, and published literature.

CONCLUSIONS

SAE rates observed among postmarketing TCZ users were similar to those of various comparison populations. Predetermined design of studies to compare postmarketing AEs using multiple data sources is a useful strategy that can be applied to other medications.

Postmarket safety in Canada: are significant therapeutic advances and biologics less safe than other drugs? A cohort study

OBJECTIVES

Examine the probability of new active substances (NASs) approved in Canada between 1 January 1997 and 31 March 2012 acquiring a serious postmarket safety warning.

DESIGN

Cohort study.

DATA SOURCES

Annual reports of the Therapeutic Products Directorate and the Biologic and Genetic Therapies Directorate; evaluations of therapeutic innovation from the Patented Medicine Prices Review Board and Prescrire International; MedEffect Canada website.

INTERVENTIONS

Postmarket regulatory safety warning or withdrawal from market due to safety reasons.

PRIMARY AND SECONDARY OUTCOME MEASURES

Compare the probability of acquiring a postmarket safety warning in Canada in four different groups of drugs: (1) traditional medications versus biologics; (2) medications that offer significant new therapeutic benefits versus those that do not. Determine how well the type of review that an NAS received from Health Canada predicted the product's postmarket therapeutic value.

RESULTS

The probability of a traditional NAS acquiring a serious safety warning and/or being withdrawn was 29.9% (95% CI 21.8% to 40.2%) vs 27.3% (95% CI 18.2% to 39.7%) for an NAS of biological origin (p=0.47, log-rank test). For medications that were significant therapeutic advances the probability was 40.2% (95% CI 24.5% to 60.9%) vs 33.9% (95% CI 26.4% to 42.7%) for those that were not (p=0.18, log-rank test). Health Canada was 77.4% accurate in predicting the therapeutic importance of an NAS.

CONCLUSIONS

There was no difference in postmarket regulatory safety action between traditional medications and biologics and no difference between drugs with significant therapeutic benefits and those without. Although these results draw on Canadian data, they are likely to be relevant internationally. Further research should assess whether the current level of premarket safety evaluation is acceptable.

How safe are new drugs? Market withdrawal of drugs approved in Canada between 1990 and 2009

BACKGROUND

Studying drugs withdrawn from the market for safety reasons can help in evaluating the strengths and weaknesses of the pre- and post-market safety evaluation systems. This study considered 2 questions: Has there been a change over time in the percentage of new drugs that are eventually withdrawn because of safety reasons? How long are new drugs on the market before their serious safety problems are recognized?

METHODS

All drugs approved between 1 January 1990 and 31 December 2009 and subsequently withdrawn for safety reasons (until 1 October 2013) were identified, and the generic name, date of approval, and date of withdrawal were recorded. The total number of drugs approved over the same period was obtained from annual Health Canada reports. The percentages of new active substances approved in the 5-year periods 1990-1994, 1995-1999, 2000-2004, and 2005-2009 and eventually withdrawn were compared using the χ(2) test. The time between approval and withdrawal was calculated in days.

RESULTS

Of the 528 new drugs approved over the period of interest, a total of 22 (4.2%) were eventually withdrawn. Between 3.9% and 4.4% of the drugs approved in each 5-year period were eventually withdrawn (χ(2) = 0.04, p = 0.99 for difference among 5-year periods). The median time between approval and withdrawal was 1271 days (interquartile range 706-2876).

INTERPRETATION

One explanation for the finding of no difference in the percentage of drugs approved in the four 5-year periods that were eventually withdrawn is the lack of any change in the rigour of the premarket evaluation system and the postmarket surveillance systems. The 1271-day median time between Notice of Compliance and withdrawal emphasizes the need to be particularly cautious in prescribing new drugs early in their life cycle.

[Usefulness of electronic drug registers: Spanish register of patients treated with fingolimod (Gilenya ®)]

INTRODUCTION

This study outlines the design of an electronic register of patients with multiple sclerosis who began treatment with fingolimod in Spain. The system is intended to serve as a tool to monitor its utilisation in daily clinical practice and thus allow optimisation of the way it is used.

AIMS

To establish the profile of patients with multiple sclerosis undergoing treatment with fingolimod and to determine the effectiveness and safety of this treatment in daily clinical practice.

DEVELOPMENT

An observation-based, retrospective and prospective, multi-centre registry is set up, which will be active for five years. Forty neurologists working in Spain will participate in the project. Patients treated with fingolimod who fulfil the selection criteria will be included in the study. The effectiveness variables that will be evaluated are: disability measured by means of the Expanded Disability Status Scale, the rate of attacks, T1 gadolinium-enhancing lesions and new lesions in T2, and the percentage of patients who were free of activity and those who require concomitant treatments. The tolerability variables that will be evaluated are: the rate of patients who present events and adverse reactions, respectively, with a separate analysis of those presenting after the first dose or that are related to the fingolimod risk management plan and the treatment dropout rate.

CONCLUSIONS

New pharmaceuticals that have only recently been commercialised require more information about their effectiveness and safety, beyond the controlled environment of a clinical trial. Initiatives involving electronic registries such as the Gilenya register are a solution that can respond to such needs by providing information in the shortest possible time about the most suitable management in order to be able to make the best and most efficient use of it.

An investigation into drug products withdrawn from the EU market between 2002 and 2011 for safety reasons and the evidence used to support the decision-making

OBJECTIVES

The objective of this study was to determine the nature of evidence used to support the withdrawal of marketing authorisations of drug products for safety reasons throughout the European Union (EU) between 2002 and 2011.

SETTING

Products withdrawn, either by a medicines agency or a marketing authorisation holder, during the period 2002-2011 were identified by conducting detailed searches of the WHO, the European Medicines Agency (EMA) and national medicines agency websites throughout the EU plus Norway, Iceland and Liechtenstein. The scientific evidence used to support the decision was identified from a search within PubMed, the EMA and national medicines agencies websites. Information about spontaneous case reports entered into EudraVigilance and unavailable on the EMA website was received by email from the EMA.

RESULTS

19 drugs were withdrawn from the market, throughout the EU, for safety reasons from 2002 to 2011. Case reports were cited in 95% of withdrawals (18/19) and case-control studies (4/19), cohort studies (4/19), randomised controlled trials (RCTs) (12/19) or meta-analysis (5/19) were cited in 63% of withdrawals (12/19). Cardiovascular events or disorders were the main reason for withdrawal (9/19), followed by hepatic disorders (4/19) and neurological or psychiatric disorders (4/19).

CONCLUSIONS

This study has shown that the level of evidence used to support drug withdrawal has improved during the past 10 years, with an increased use of case-control studies, cohort studies, RCTs and meta-analyses. This research has demonstrated that such studies have contributed to decision-making in almost two-thirds of cases.

Trends in diagnostic ultrasound acoustic output from data reported to the US Food and Drug Administration for device indications that include fetal applications

OBJECTIVES

A survey was conducted of acoustic output data received by the US Food and Drug Administration for diagnostic ultrasound devices whose indications for use include fetal applications to assess trends in maximum available acoustic output over time.

METHODS

Data were collected from 124 regulatory submissions received between 1984 and 2010. Data collection excluded transducers not indicated for diagnostic fetal imaging. The output parameters of ultrasonic power, mean center frequency, and bone thermal index (TIB) were extracted or computed from the submissions for 3 periods: 1984-1989, 1992-1997, and 2005-2010. The data were stratified according to the following imaging modes: M-mode, B/M-mode, pulsed wave Doppler, color flow Doppler, and continuous wave Doppler.

RESULTS

Ultrasonic power and maximum TIB values have increased roughly an order of magnitude from pre-1991 to post-1991 periods; the center frequency has decreased somewhat (4.2 to 3.4 MHz). The percentage of Doppler-mode transducers has increased substantially over time, with the majority of the diagnostic fetal imaging transducers currently designed to operate in Doppler modes; this increase is particularly important, since Doppler modes generate much higher TIB levels than B/M-modes. Color flow Doppler ultrasound currently operates at the highest mean ultrasonic power level (with a 14-fold increase over time).

CONCLUSIONS

The observed trends in increased acoustic output for both Doppler and non-Doppler modes underscore the widely recognized importance of adherence to the ALARA (as low as reasonably achievable) principle and prudent use in fetal ultrasound imaging.

Targeted maximum likelihood estimation in safety analysis

OBJECTIVES

To compare the performance of a targeted maximum likelihood estimator (TMLE) and a collaborative TMLE (CTMLE) to other estimators in a drug safety analysis, including a regression-based estimator, propensity score (PS)-based estimators, and an alternate doubly robust (DR) estimator in a real example and simulations.

STUDY DESIGN AND SETTING

The real data set is a subset of observational data from Kaiser Permanente Northern California formatted for use in active drug safety surveillance. Both the real and simulated data sets include potential confounders, a treatment variable indicating use of one of two antidiabetic treatments and an outcome variable indicating occurrence of an acute myocardial infarction (AMI).

RESULTS

In the real data example, there is no difference in AMI rates between treatments. In simulations, the double robustness property is demonstrated: DR estimators are consistent if either the initial outcome regression or PS estimator is consistent, whereas other estimators are inconsistent if the initial estimator is not consistent. In simulations with near-positivity violations, CTMLE performs well relative to other estimators by adaptively estimating the PS.

CONCLUSION

Each of the DR estimators was consistent, and TMLE and CTMLE had the smallest mean squared error in simulations.