Pharmacovigilance in low- and middle-income countries: A review with particular focus on Africa.

Low- and middle-income countries (LMIC) face unique challenges with regard to the establishment of robust pharmacovigilance systems capable of generating data to inform healthcare policy and practice. These include the limited integration and reliability of pharmacovigilance systems across LMIC despite recent efforts to harmonize pharmacovigilance rules and regulations in several regional economic communities. There are particular challenges relating to the need to translate reporting tools into numerous local languages and the low numbers of healthcare providers relative to number of patients, with very short consultation times. Additional factors frequent in LMIC include high uptake of herbal and traditional medication, mostly by self-medication; disruptive political conflicts jeopardizing fragile systems; and little or no access to drug utilization data, which makes it difficult to reliably estimate the true risks of medicines use. Pharmacovigilance activities are hindered by the scarcity of well-trained personnel with little or no budgetary support from national governments; high turnover of pharmacovigilance staff whose training involves a substantial amount of resources; and little awareness of pharmacovigilance among healthcare workers, decision makers and consumers. Furthermore, little collaboration between public health programmes and national medicines regulatory authorities coupled with limited investment in pharmacovigilance activities, especially during mass drug administration for neglected tropical diseases and mass vaccinations, produces major challenges in establishing a culture where pharmacovigilance is systematically embedded. Very low spontaneous reporting rates with poor quality reports hinders robust signal detection analyses. This review summarises the specific challenges and areas of progress in pharmacovigilance in LMIC with special focus on the situation in Africa.

Optimising reporting of adverse events following immunisation by healthcare workers in Ghana: A qualitative study in four regions.

INTRODUCTION: Despite the emphasis on reporting of Adverse Events Following Immunisation (AEFIs) during didactic training sessions, especially prior to new vaccine introductions, it remains low in Ghana. We explored the factors underlying the under-reporting of AEFI by healthcare workers (HCWs) to provide guidance on appropriate interventions to increase reporting. METHODS: We conducted an exploratory descriptive in-depth study of the factors contributing to low reporting of AEFI among HCWs in four regions in Ghana. Key informant interviews (KII) were held with purposively selected individuals that are relevant to the AEFI reporting process at the district, regional, and national levels. We used KII guides to conduct in-depth interviews and used NVivo 10 qualitative software to analyse the data. Themes on factors influencing AEFI reporting were derived inductively from the data, and illustrative quotes from respondents were used to support the narratives. RESULTS: We conducted 116 KIIs with the health managers, regulators and frontline HCWs and found that lack of information on reportable AEFIs and reporting structures, misunderstanding of reportable AEFIs, heavy workload, cost of reporting AEFIs, fear of blame by supervisors, lack of motivation, and inadequate feedback as factors responsible for underreporting of AEFIs. Respondents suggested that capacity building for frontline HCWs, effective supervision, the provision of motivation and feedback, simplification of reporting procedures, incentives for integrating AEFI reporting into routine monitoring and reporting, standardization of reporting procedures across regions, and developing appropriate interventions to address the fear of personal consequences would help improve AEFI reporting. CONCLUSION: From the perspectives of a broad range of key informants at all levels of the vaccine safety system, we found multiple factors (both structural and behavioural), that may impact HCW reporting of AEFI in Ghana. Improvements in line with the suggestions are necessary for increased AEFI reporting in Ghana.

Improving the data quality of spontaneous ADR reports: a practical example from Malta.

BACKGROUND: Adverse drug reaction (ADR) reporting rates and high-quality data within case summary reports are crucial to detect emerging safety concerns and implement regulatory action. In this study we aimed to improve the data quality and reporting rates of ADR reports in Malta through a series of national activities. RESEARCH DESIGN AND METHODS: Between April 2018 and July 2019, we carried out the following activities: i) a review of wholesale dealers ADR reporting forms; ii) a series of educational workshops targeting physicians and pharmacists; iii) a quality system audit of the Authority's ADR management process. RESULTS: Twelve wholesaler dealer forms were reviewed, and 155 improvements were identified. Incident reporting forms modified to capture ADRs had the most opportunities for improvement. Five workshops were organized and in total 62 physicians and 22 pharmacists attended. Although feedback from participants was positive, in our case, an increase in reporting was not observed following the workshops. The quality system audit resulted in the introduction of the 'four-eye principle' to the Authority's ADR management process. CONCLUSIONS: The implementation of such activities is expected to contribute to the overall pharmacovigilance systems in Malta and our experience could benefit other entities involved in spontaneous ADR reporting.

Post-market surveillance of consumer products: Framework for adverse event management.

Analysis of spontaneous reports of adverse events is an important source of information that can be used to improve consumer products. Various agencies have adverse event reporting requirements and many companies collect such data directly from consumers. Nonetheless, a universal framework is absent that identifies and evaluates spontaneously reported adverse events, and, most important, assesses the potential association between exposure and adverse events. We are presenting a three-part framework: Phase I - Intake and Documentation of Original Incidents; Phase II - In Depth Review and Follow-up of Phase I Incidents (enhanced, tailored questionnaire); Phase III - Association Assessment. The basis for scoring the strength of association between exposure and adverse events requires assessment of standard factors of association including: temporality; biological, physiological, or pharmacological plausibility; results of de-challenge; results of re-challenge; and consideration of confounding factors. Scores tied to the answers to these questions are totaled for each incident to determine the strength of association between exposure and reported adverse event. We propose that consumer product companies come together to adopt such an association assessment framework to improve adverse event management, obtain maximum value from the data obtained, and use the knowledge derived to improve overall product safety for consumers.

The potential of training specialist oncology nurses in real-life reporting of adverse drug reactions.

Specialist oncology nurses (SONs) have the potential to play a major role in monitoring and reporting adverse drug reactions (ADRs); and reduce the level of underreporting by current healthcare professionals. The aim of this study was to investigate the long term clinical and educational effects of real-life pharmacovigilance education intervention for SONs on ADR reporting. This prospective cohort study, with a 2-year follow-up, was carried out in the three postgraduate schools in the Netherlands. In one of the schools, the prescribing qualification course was expanded to include a lecture on pharmacovigilance, an ADR reporting assignment, and group discussion of self-reported ADRs (intervention). The clinical value of the intervention was assessed by analyzing the quantity and quality of ADR-reports sent to the Netherlands Pharmacovigilance Center Lareb, up to 2 years after the course and by evaluating the competences regarding pharmacovigilance of SONs annually. Eighty-eight SONs (78% of all SONs with a prescribing qualification in the Netherlands) were included. During the study, 82 ADRs were reported by the intervention group and 0 by the control group. This made the intervention group 105 times more likely to report an ADR after the course than an average nurse in the Netherlands. This is the first study to show a significant and relevant increase in the number of well-documented ADR reports after a single educational intervention. The real-life pharmacovigilance educational intervention also resulted in a long-term increase in pharmacovigilance competence. We recommend implementing real-life, context- and problem-based pharmacovigilance learning assignments in all healthcare curricula.

Artificial Intelligence for Unstructured Healthcare Data: Application to Coding of Patient Reporting of Adverse Drug Reactions.

Adverse drug reaction (ADR) reporting is a major component of drug safety monitoring; its input will, however, only be optimized if systems can manage to deal with its tremendous flow of information, based primarily on unstructured text fields. The aim of this study was to develop an automated system allowing to code ADRs from patient reports. Our system was based on a knowledge base about drugs, enriched by supervised machine learning (ML) models trained on patients reporting data. To train our models, we selected all cases of ADRs reported by patients to a French Pharmacovigilance Centre through a national web-portal between March 2017 and March 2019 (n = 2,058 reports). We tested both conventional ML models and deep-learning models. We performed an external validation using a dataset constituted of a random sample of ADRs reported to the Marseille Pharmacovigilance Centre over the same period (n = 187). Here, we show that regarding area under the curve (AUC) and F-measure, the best model to identify ADRs was gradient boosting trees (LGBM), with an AUC of 0.93 (0.92-0.94) and F-measure of 0.72 (0.68-0.75). This model was run for external validation showing an AUC of 0.91 and a F-measure of 0.58. We evaluated an artificial intelligence pipeline that was found able to learn how to identify correctly ADRs from unstructured data. This result allowed us to start a new study using more data to further improve our performance and offer a tool that is useful in practice to efficiently manage drug safety information.

Severe Acute Respiratory Syndrome Coronavirus 2 Vaccines and Cutaneous Adverse Reactions: A Review.

We are entering a new stage of the severe acute respiratory syndrome coronavirus 2 pandemic with the initiation of large-scale vaccination programs globally. In these circumstances, even rare adverse effects of vaccines may be encountered more often, if millions of people are to be vaccinated in a short period. Vaccination has the potential for causing cutaneous adverse effects. Thus, it is paramount that dermatologists worldwide are acquainted with the possible skin reaction patterns to the coming vaccines. Herein, we conduct a review to discuss the most frequent cutaneous adverse effects of vaccines and their management, with a particular focus on the expected adverse reactions for the coming severe acute respiratory syndrome coronavirus 2 vaccines, such as local reactions, as well as immediate- and delayed-type hypersensitivity reactions, including erythema multiforme, Stevens-Johnson syndrome, toxic epidermal necrosis, serum sickness-like reactions, and vasculitides. We also discuss the yet unanswered questions on vaccines for which we may soon be asked to provide an expert opinion.

Medical students as adverse drug event managers, learning about side effects while improving their reporting in clinical practice.

Managing adverse drug reactions (ADRs) is a challenge, especially because most healthcare professionals are insufficiently trained for this task. Since context-based clinical pharmacovigilance training has proven effective, we assessed the feasibility and effect of a creating a team of Junior-Adverse Drug Event Managers (J-ADEMs). The J-ADEM team consisted of medical students (1st-6th year) tasked with managing and reporting ADRs in hospitalized patients. Feasibility was evaluated using questionnaires. Student competence in reporting ADRs was evaluated using a case-control design and questionnaires before and after J-ADEM program participation. From Augustus 2018 to Augustus 2019, 41 students participated in a J-ADEM team and screened 136 patients and submitted 65 ADRs reports to the Netherlands Pharmacovigilance Center Lareb. Almost all patients (n = 61) found it important that "their" ADR was reported, and all (n = 62) patients felt they were taken seriously by the J-ADEM team. Although attending physicians agreed that the ADRs should have been reported, they did not do so themselves mainly because of a "lack of knowledge and attitudes" (50%) and "excuses made by healthcare professionals" (49%). J-ADEM team students were significantly more competent than control students in managing ADRs and correctly applying all steps for diagnosing ADRs (control group 38.5% vs. intervention group 83.3%, p < 0.001). The J-ADEM team is a feasible approach for detecting and managing ADRs in hospital. Patients were satisfied with the care provided, physicians were supported in their ADR reporting obligations, and students acquired relevant basic and clinical pharmacovigilance skills and knowledge, making it a win-win-win intervention.

Global COVID-19 pandemic and reporting behavior - An analysis of the Food and Drug Administration adverse events reporting system.

PURPOSE: To describe the characteristics of adverse event reporting in the United States (US) Food and Drug Administration Adverse Event Reporting System (FAERS) before and after the outbreak of the COVID-19 pandemic. METHODS: We included all FAERS reports from the US and Canada from November 7, 2019 to July 15, 2020 and divided the study period into three equal time intervals (pre-pandemic, first pandemic, second pandemic). We focused on methotrexate, a broadly used drug unrelated to COVID-19, and (hydroxy)chloroquine, another broadly used drug implicated in COVID-19 treatment. Using descriptive statistics, we compared reporting characteristics before and after the COVID-19 outbreak. RESULTS: During the study period, 366 998 cases (60% female, median age: 59 years) were submitted to FAERS. The daily median number of reports (1796 in the pre-pandemic, 1810 in the second pandemic time interval) and other characteristics remained stable. The daily median number of reports for methotrexate decreased from 28 in the pre-pandemic to 15 in the second pandemic time interval, with no considerable differences in other characteristics. The daily median number of reports for (hydroxy)chloroquine increased slightly from 1 in the pre-pandemic to 3 in the second pandemic time interval, while there were also changes in the demographics of cases and an increase in the proportion of cases reported by health professionals. CONCLUSIONS: The overall reporting to FAERS did not change after the outbreak of the COVID-19 pandemic. However, some stimulated reporting was observed for (hydroxy)chloroquine, highlighting the need for caution when conducting pharmacovigilance analyses with substances related to COVID-19.

Analysis of completeness for spontaneous reporting of disease-modifying therapies in multiple sclerosis.

Introduction: Considering the need for effective postmarketing surveillance of disease-modifying therapies (DMTs) in multiple sclerosis (MS), we analyzed the potential of the spontaneous reports for safety signal detection, verifying the completeness of the reports in the FDA Adverse Event Reporting System (FAERS).Methods: All reports with DMTs for MS considered the primary suspect cause of ADRs and registered between January 2004 and June 2019 were selected. The vigiGrade completeness score was applied and reports with a score greater than 0.80 were considered well documented. Descriptive statistical analysis and comparisons of well-documented reports by DMTs were performed.Results: A total of 297,926 reports were analyzed. The lowest completeness rates were observed for type of report (13.5%), dose (62.7%), and time from treatment start to the ADR (79.0%). Overall, 80.8% of reports were classified as well documented and those related to natalizumab had the highest proportion (92.4%, p < 0.001), while the lowest was observed for reports sent in 2017 (53.1%, p < 0.001) and for teriflunomide (48.5%, p < 0.001).Conclusions: The high proportion of well-documented reports for DMTs indicates that they can be a valuable source for safety signal detection. A more careful analysis should be performed for data from the groups identified with low completeness to avoid the disclosure of spurious results.

Adverse drug reaction risks obtained from meta-analyses and pharmacovigilance disproportionality analyses are correlated in most cases.

OBJECTIVE: We aimed at testing if a correlation between adverse drug reactions relative risks estimated from meta-analyses and disproportionality analyses calculated from pharmacovigilance spontaneous reporting systems databases exist, and if methodological choices modify this correlation. STUDY DESIGN: We extracted adverse drug reactions (ADR) odds ratios (ORs) from meta-analyses used as reference and calculated corresponding Reporting Odds Ratios (RORs) from the WHO pharmacovigilance database according to five different designs. We also calculated the relative bias and agreement of ROR compared to ORs. RESULTS: We selected five meta-analyses which displayed a panel of 13 ADRs. A significant correlation for 7 out of the 13 ADRs studied in the primary analysis was found. The methods for ROR calculation impacted the results but none systematically improved the correlations. Whereas correlation was found between OR and ROR, agreement was poor and relative bias was important. CONCLUSION: Despite the large variation in disproportionality analyses results due to design specification, this study provides further evidence that relative risks obtained from meta-analyses and from disproportionality analyses correlate in most cases, in particular for objective ADR not associated with the underlying pathology.

Enhancing Pediatric Adverse Drug Reaction Documentation in the Electronic Medical Record.

Adverse drug reactions (ADRs) often go unreported or are inaccurately documented in the electronic medical recorded (EMR), even when they are severe and life-threatening. Incomplete reporting can lead to future prescribing challenges and ADR reoccurrence. The aim of this study was to evaluate the documentation of ADRs within the EMR and determine specific factors associated with appropriate and timely ADR documentation. Retrospective data were collected from a pediatric hospital system ADR reports from October 2010 to November 2018. Data included implicated medication, type, and severity of reaction, treatment location, the presence or absence of ADR documentation in the EMR alert profile within 24 hours of the ADR hospital or clinic encounter discharge, ADR identification method, and the presence or absence of pharmacovigilance oversight at the facility where the ADR was treated. A linear regression model was applied to identify factors contributing to optimal ADR documentation. A total of 3065 ADRs requiring medical care were identified. Of these, 961 ADRs (31%) did not have appropriate documentation added to the EMR alert profile prior to discharge. ADRs were documented in the EMR 87% of the time with the presence of pharmacovigilance oversight and only 61% without prospective pharmacovigilance (P < .01). Severity of ADR was not a predictor of ADR documentation in the EMR, yet the implicated medication and location of treatment did impact reporting. An active pharmacovigilance service significantly improved pediatric ADR documentation. Further work is needed to assure timely, accurate ADR documentation.

Drug-Induced Hearing Loss in Children: An Analysis of Spontaneous Reports in the French PharmacoVigilance Database.

INTRODUCTION: Hearing loss can have a negative impact on communication, with significant vocational, educational, and social consequences. Drugs are one of the causes of hearing loss in children. OBJECTIVES: The objective of our study was to describe drug-induced hearing loss in the pediatric population. METHODS: Reports of hearing loss from 1985 to December 2019 in the pediatric population (< 18 years) were extracted from the French PharmacoVigilance Database (FPVD). We performed a retrospective and descriptive analysis of adverse drug reaction (ADR) reports. RESULTS: A total of 70 ADR reports were identified among the 51,216 reports registered in the FPVD, 37 involving adolescents (12-17 years, 52.9%), 28 children (2-11 years, 40.0%), and 5 infants (28 days-23 months, 7.1%). Overall, 40 reports (57.1%) involved girls. A total of 56 reports (80.0%) were "serious." The most frequent hearing disorders were deafness (n = 31, 44.3%) and hypoacusis (n = 22, 31.4%). Suspected drugs (ATC 5th level) were amikacin (n = 11, 15.7%), cisplatin (n = 11, 15.7%), doxorubicin (n = 4, 5.7%), vincristine (n = 4, 5.7%), clarithromycin (n = 4, 5.7%), ceftriaxone (n = 3, 4.3%), isotretinoin (n = 3, 4.3%), and vancomycin (n = 3, 4.3%). CONCLUSIONS: This study shows that about three out of four cases of drug-induced hearing loss in the pediatric population were "serious". It also underlines the under-reporting of these ADRs and the importance of strengthening hearing monitoring in children during and long after drug exposure.

Global Safety Database Summary of COVID-19-Related Drug Utilization-Safety Surveillance: A Sponsor's Perspective.

INTRODUCTION: Evidence-based clinical data on coronavirus disease 2019 (COVID-19) pharmacotherapies are scarce. OBJECTIVE: This study documented and characterized COVID-19 cases reported in individuals receiving treatment with Pfizer pharmaceutical products and cases that reported use of Pfizer pharmaceutical products for COVID-19 treatment. METHODS: This retrospective observational review leveraged the Pfizer safety database containing adverse event data collected in association with use of Pfizer products between 1 October, 2019, and 25 June, 2020; the database includes worldwide adverse event data from various sources. Selected Medical Dictionary for Drug Regulatory Activities (MedDRA®) Preferred Terms and subsequent clinical review were used to characterize COVID-19 cases. RESULTS: Over 1500 relevant cases were identified over an 8-month period. In cases that reported COVID-19, immunosuppressant/immunomodulating agents, followed by anticoagulant/antithrombic agents and corticosteroids, were the most frequently reported agents. The frequent reporting of immunosuppressant/immunomodulating agents among cases of COVID-19 suggests increased vulnerability to infection among treated patients, either because of immunosuppressive effects of certain agents or the nature of the underlying treated condition. In cases involving off-label pharmacotherapy use for the treatment of COVID-19-related conditions, the most frequently reported therapeutic classes included antibiotics, antimalarial agents, antivirals/antiretroviral agents, immunosuppressant/immunomodulating agents, corticosteroids, anticoagulants, and immunoglobulin/interferons. The most frequently reported pharmacotherapeutic agents were azithromycin and chloroquine/hydroxychloroquine, followed by lopinavir-ritonavir, ceftriaxone, and tofacitinib. The most frequently reported clinical adverse events associated with azithromycin (as sole therapy or combined with chloroquine/hydroxychloroquine) include electrocardiogram QT prolonged, drug interaction, hepatitis, diarrhea, and hepatitis acute. Regarding cardiac-related events, 19% (120/645) of azithromycin cases reported events associated with QT prolongation/torsade de pointes (which included seven fatal cardiac events). The most frequently reported clinical adverse events associated with other commonly used agents are also presented. CONCLUSIONS: This pharmacovigilance surveillance study provides a unique characterization of cases in which a broad range of pharmaceutical products was reported in relation to COVID-19.

Linguistic validation of the simplified Chinese version of the US National Cancer Institute's patient-reported outcomes version of the common terminology criteria for adverse events (PRO-CTCAE™).

BACKGROUND: The aim of this study was to translate and linguistically validate the U.S. National Cancer Institute's Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE™) into Simplified Chinese for use in Singapore. METHODS: All 124 items of the English source PRO-CTCAE item library were translated into Simplified Chinese using internationally established translation procedures. Two rounds of cognitive interviews were conducted with 96 cancer patients undergoing adjuvant treatment to determine if the translations adequately captured the PRO-CTCAE source concepts, and to evaluate comprehension, clarity and ease of judgement. Interview probes addressed the 78 PRO-CTCAE symptom terms (e.g. fatigue), as well as the attributes (e.g. severity), response choices, and phrasing of 'at its worst'. Items that met the a priori threshold of ≥20% of participants with comprehension difficulties were considered for rephrasing and retesting. Items where < 20% of the sample experienced comprehension difficulties were also considered for rephrasing if better phrasing options were available. RESULTS: A majority of PRO-CTCAE-Simplified Chinese items were well comprehended by participants in Round 1. One item posed difficulties in ≥20% and was revised. Two items presented difficulties in < 20% but were revised as there were preferred alternative phrasings. Twenty-four items presented difficulties in < 10% of respondents. Of these, eleven items were revised to an alternative preferred phrasing, four items were revised to include synonyms. Revised items were tested in Round 2 and demonstrated satisfactory comprehension. CONCLUSIONS: PRO-CTCAE-Simplified Chinese has been successfully developed and linguistically validated in a sample of cancer patients residing in Singapore.