The Value of Patient-Centred Registries in Phase IV Drug Surveillance

An OMOP-CDM based pharmacovigilance data-processing pipeline (PDP) providing active surveillance for ADR signal detection from real-world data sources

Background

Adverse drug reactions (ADRs) are regarded as a major cause of death and a major contributor to public health costs. For the active surveillance of drug safety, the use of real-world data and real-world evidence as part of the overall pharmacovigilance process is important. In this regard, many studies apply the data-driven approaches to support pharmacovigilance. We developed a pharmacovigilance data-processing pipeline (PDP) that utilized electronic health records (EHR) and spontaneous reporting system (SRS) data to explore pharmacovigilance signals.

Methods

To this end, we integrated two medical data sources: Konyang University Hospital (KYUH) EHR and the United States Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS). As part of the presented PDP, we converted EHR data on the Observation Medical Outcomes Partnership (OMOP) data model. To evaluate the ability of using the proposed PDP for pharmacovigilance purposes, we performed a statistical validation using drugs that induce ear disorders.

Results

To validate the presented PDP, we extracted six drugs from the EHR that were significantly involved in ADRs causing ear disorders: nortriptyline, (hazard ratio [HR] 8.06, 95% CI 2.41–26.91); metoclopramide (HR 3.35, 95% CI 3.01–3.74); doxycycline (HR 1.73, 95% CI 1.14–2.62); digoxin (HR 1.60, 95% CI 1.08–2.38); acetaminophen (HR 1.59, 95% CI 1.47–1.72); and sucralfate (HR 1.21, 95% CI 1.06–1.38). In FAERS, the strongest associations were found for nortriptyline (reporting odds ratio [ROR] 1.94, 95% CI 1.73–2.16), sucralfate (ROR 1.22, 95% CI 1.01–1.45), doxycycline (ROR 1.30, 95% CI 1.20–1.40), and hydroxyzine (ROR 1.17, 95% CI 1.06–1.29). We confirmed the results in a meta-analysis using random and fixed models for doxycycline, hydroxyzine, metoclopramide, nortriptyline, and sucralfate.

Conclusions

The proposed PDP could support active surveillance and the strengthening of potential ADR signals via real-world data sources. In addition, the PDP was able to generate real-world evidence for drug safety.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12911-021-01520-y.

Post-authorization pharmacovigilance for hemophilia in Europe and the USA: Independence and transparency are keys

The regulatory process is currently designed to ensure drug safety during the pre-marketing process. Due to limitations of the pivotal studies owing to their short duration and small number of highly selected cases, some adverse drug reactions (ADRs) are not detected, particularly the rarest and those which appear a long time after exposure. Thus it is essential to foster pharmacovigilance run totally independently from marketing authorization holders in order to attain transparent surveillance. This challenge is relevant for hemophilia drugs, after recent advances offered innovative replacement and non-replacement medicines that warrant monitoring due to the occurrence of predicted but also unexpected and rare ADRs. This article contains an overview of pharmacovigilance systems in the European Union and USA, describing the main ADRs related to traditional and recently available hemophilia medications and suggests how to involve stakeholders other than marketing authorization holders for an independent and transparent pharmacovigilance targeted to detect not only early ADRs but also those emerging post-marketing.

Broad-spectrum therapeutics: A new antimicrobial class

There are currently no emergency treatments for pandemics, yet drug repositioning has emerged as the foremost treatment development strategy for COVID-19, with an aim to identify successful antiviral therapeutics from safe, non-antiviral candidates. These therapeutics include antibiotics such as azithromycin and the antiparasitic nitazoxanide, both of which exhibit antiviral activity. Broad-spectrum therapeutics (BSTs) are a class of antimicrobials active against multiple pathogen types. Establishment of a developmental framework for BSTs will markedly improve global preparedness for future health emergencies.

Building a cloud-based data sharing model for the Saudi national registry for implantable medical devices: Results of a readiness assessment

BACKGROUND

Implantable medical device registries are used as a medium to conduct post-marketing surveillance. Little information is available on the development and implementation of implantable biomedical device registries in general and specifically in Saudi Arabia and the Middle East.

OBJECTIVES

This study presents the experiences of building an implantable medical device registry in the Kingdom of Saudi Arabia. The work specifically addresses the early experiences of the Saudi Food and Drug Authority in the planning and development of a data sharing model for the implementation of a medical device registry at different hospital sites within the country.

METHODS

A two-year case study in which 60 health professionals from 5 hospitals in Saudi Arabia participated in a readiness assessment survey. The readiness assessment examined system-level capacity, hospital workflow and operations, clinical staff-level engagement, and technological assessment as they relate to the implementation of the Implantable Medical Device Registry (IMDR). Both subjective and objective data were collected as part of the readiness assessment survey at each hospital site. Data was collected from participants either individually or as part of a group at each hospital site. Using Microsoft Excel, Microsoft Word, flip charts, and back-and-forth discussion, the data was descriptively summarized and synthesized to provide an overview of hospital readiness for IMDR implementation.

RESULTS

Results show that there are large differences among Saudi hospitals in terms of their readiness for IMDR implementation due to a variety of factors relating to differences in hospital-wide organizational systems, clinical practice, technological infrastructure, and data sharing capabilities. Each of the hospitals surveyed in this study had differences in how clinical biomedical implantation policies and procedures were utilized. Manual entry into the cloud-based IMDR was recommended as the most optimal data sharing model that would mitigate the differences between hospital readiness for IMDR implementation.

CONCLUSION

Registries play a major role in monitoring the effectiveness of implantable biomedical devices. National standardized policies, enforced regulations, and information technology infrastructure are needed to achieve this goal. Furthermore, due to differences in hospital readiness, building a cloud-based registry system through manual data entry into the IMDR was found to be the most appropriate data sharing model that can be implemented at the national level.

Accuracy of Self-reported Prescribed Analgesic Medication Use: Linkage Between the Quebec Pain Registry and the Quebec Administrative Prescription Claims Databases

OBJECTIVES

The validity of studies conducted with patient registries depends on the accuracy of the self-reported clinical data. As of now, studies about the validity of self-reported use of analgesics among chronic pain (CP) populations are scarce. The objective of this study was to assess the accuracy of self-reported prescribed analgesic medication use. This was attained by comparing the data collected in the Quebec Pain Registry (QPR) database to those contained in the Quebec administrative prescription claims database (Régie de l'assurance maladie du Québec [RAMQ]).

METHODS

To achieve the linkage between the QPR and the RAMQ databases, the first 1285 patients who were consecutively enrolled in the QPR between October 31, 2008 and January 27, 2010 were contacted by mail and invited to participate in a study in which they had to provide their unique RAMQ health insurance number. Using RAMQ prescription claims as the reference standard, κ coefficients, sensitivity, specificity, and their respective 95% confidence intervals were calculated for each therapeutic class of prescribed analgesic drugs that the participants reported taking currently and in the past 12 months.

RESULTS

A total of 569 QPR patients responded to the postal mailing, provided their unique health insurance number, and gave informed consent for the linkage (response proportion=44%). Complete RAMQ prescription claims over the 12 months before patient enrollment into the QPR were available for 272 patients, who constituted our validated study population. Regarding current self-reported prescribed analgesic use, κ coefficients measuring agreement between the 2 sources of information ranged from 0.66 to 0.78 for COX-2-selective nonsteroidal anti-inflammatory drugs, anticonvulsants, antidepressants, skeletal muscle relaxants, synthetic cannabinoids, opiate agonists/partial agonists/antagonists, and antimigraine agents therapeutic classes. For the past 12-month self-reported prescribed analgesic use, QPR patients were less accurate regarding anticonvulsants (κ=0.59), opiate agonists/partial agonists/antagonists (κ=0.57), and antimigraine agents use (κ=0.39).

DISCUSSION

Information about current prescribed analgesic medication use as reported by CP patients was accurate for the main therapeutic drug classes used in CP management. Accuracy of the past year self-reported prescribed analgesic use was somewhat lower but only for certain classes of medication, the concordance being good on all the others.

Innovation in medicine: Ignaz the reviled and Egas the regaled

In our current climate of rapid technological progress, it seems counterintuitive to think that modern science can learn anything of ethical value from the dark recesses of the nineteenth century or earlier. However, this happens to be quite true, with plenty of knowledge and wisdom to be gleaned by studying our scientific predecessors. Presently, our journals are flooded with original concepts and potential breakthroughs, a continuous stream of ideas pushing the frontiers of knowledge ever forward. Some ideas flourish while others flounder; but what sets the two apart? The distinguishing feature between success and failure within this context is the ability to discern the appropriate time to accept an innovation with open arms, versus when to take a more cautious approach. And the primary arbiters for whether an idea will catch on or not are the professional audience. I illustrate this concept by comparing the initial reception of two innovative ideas from Medicine's past: sterile technique, and prefrontal lobotomy. Sterile technique was first introduced by Dr. Ignaz Semmelweis and was initially ridiculed and rejected, with Semmelweis eventually dying in exile. Conversely, lobotomy was accepted and lauded and its inventor, Dr. Egas Moniz, won the Nobel Prize for his "discovery". This begs the question: why was a technique with the potential to save millions of lives initially rejected, whereas paradoxically, one that compromised and sometimes destroyed lives, accepted? Here I explore and analyze the potential reasons why, suggest how we can learn from these mistakes of the past and apply new insight to some current ethical dilemmas.

The Role of Clinical Registries in Monitoring Drug Safety and Efficacy

The last 20 years has seen a rapid growth in the area of clinical registries to monitor the safety and quality of healthcare delivery across the globe. Clinical registries have predominantly focussed on tertiary care service delivery, often procedurally based and directed to identifying variation in patient outcomes. They are also often used to determine whether evidence-based therapeutic guidelines are being adopted and whether safety signals are being identified when novel therapies are first released into clinical practice. This paper will examine the role of clinical quality registries as a pharmacovigilance methodology for the 21st Century.

Methodological approaches to developing and establishing the body of evidence on post-marketing Chinese medicine safety

Evidence based medicine demands the highest form of scientific evidence to demonstrate the efficacy and clinical effectiveness for any therapeutic intervention in order to provide best care. It is however accepted that in the absence of scientific evidence, personal experience and expert opinion together with professional judgement are critical. Obtaining evidence for drug safety, postmarketing surveillance (PMS) has focussed on follow up of observational cohorts exposed to a particular drug in order to estimate the incidence of adverse drug reactions (ADRs). Evidence on PMS of Chinese herbal products is still limited, in particular for herbal injections. The aim of this article is to suggest a new model of ascertaining the safety of Chinese medicine using a more comprehensive approach for collecting data. To collect safety data on the Chinese herbal injection, Kudiezi, a mixed methods approach is proposed using 18 hospital information systems to detect ADRs in order to prospectively observe 30,000 patients over 3 years. Evidence will also be collected using a questionnaire survey and through a sample of semi structured interviews. This information based on the expert opinion and the experience of clinicians will produce additional data on the frequency and types of side effects in clinical practice. Furthermore semi structured interviews with a random sample of patients receiving the injection will be carried out to ascertain any potential side effects missed. It is hoped that this comprehensive approach to data collection will accumulate wider evidence based on individual traditional Chinese medicine care and treatment and provide important feedback to the national data collection system to ensure completeness of ADR data recording, monitoring and any potential wider effects through developing improved ADR guidelines.