Alertas sanitarias de productos médicos subestándares, falsificados y no registrados al inicio de la pandemia de COVID-19 en las Américas / Health alerts for substandard, falsified, and unregistered medical products at the onset of the COVID-19 pandemic in the Americas / Alertas de saúde para produtos médicos abaixo do padrão, falsificados e não registrados no início da pandemia de COVID-19 nas Américas

[RESUMEN]. Objetivo. Identificar y analizar los incidentes de productos médicos subestándares, falsificados, no registrados y robados al inicio de la pandemia de COVID-19. Métodos. Búsqueda detallada en los sitios web de las autoridades reguladoras de las Américas. Identificación de los incidentes de medicamentos y dispositivos médicos (incluidos los de diagnóstico in vitro) subestándares falsificados, no registrados y robados. Se determinaron los tipos de productos, las etapas de la cadena de suministro en las que se detectaron y las medidas tomadas por las autoridades. Resultados. Se identificaron 1 273 incidentes en 15 países (1 087 productos subestándares, 44 falsificados, 123 no registrados y 19 robados). La mayor cantidad de incidentes corresponden a dispositivos médicos, desinfectantes y antisépticos. El punto en la cadena de suministro con mayor frecuencia de informes fue la adquisición a través de internet. Las medidas tomadas por las autoridades reguladoras corresponden en su mayoría a: alerta, prohibición de uso, prohibición de publicidad y fabricación, retiro del mercado y seguimiento de eventos adversos. Conclusiones. Se evidenció un número destacable de incidentes de productos médicos subestándares, falsificados, no registrados y robados al inicio de la pandemia por COVID-19. La escasez de insumos, la flexibilización en los requisitos regulatorios y el aumento de la demanda son factores que pueden favorecer el incremento del número de incidentes. Las autoridades reguladoras nacionales de referencia presentaron mayores frecuencias de detección de incidentes y de aplicación de medidas sanitarias. Se observó que se debe abordar el canal de venta por internet con alguna estrategia reguladora para garantizar la distribución segura de productos médicos.

[ABSTRACT]. Objective. Identify and analyze incidents of substandard, falsified, unregistered, and stolen medical products at the onset of the COVID-19 pandemic. Methods. Detailed search of the websites of regulatory authorities in the Americas. Identification of incidents of substandard, falsified, unregistered, and stolen medicines and medical devices (including in vitro diagnostics). The types of products were determined, as were the stages in the supply chain where they were detected, and the actions taken by authorities. Results. A total of 1 273 incidents were identified in 15 countries (1 087 substandard, 44 falsified, 123 unreg- istered, and 19 stolen products). The largest number of incidents involved medical devices, disinfectants, and antiseptics. The most frequently reported point in the supply chain was online purchasing. The principal measures taken by the regulatory authorities were: alerts, prohibition of use, prohibition of advertising and manufacture, recall, and monitoring of adverse events. Conclusions. A substantial number of incidents involving substandard, falsified, unregistered, and stolen medical products at the onset of the COVID-19 pandemic were identified. Shortages of supplies, easing of regulatory requirements, and increased demand are factors that may have led to an increase in the number of incidents. The national regulatory authorities of reference reported more frequent detection of incidents and more frequent application of health measures. A regulatory strategy is needed in order to address online sales and ensure the safe distribution of medical products.

[RESUMO]. Objetivo. Identificar e analisar incidentes de produtos médicos abaixo do padrão, falsificados, não registrados e roubados no início da pandemia de COVID-19. Métodos. Foi realizada uma busca detalhada nos sites das autoridades reguladoras das Américas. Foram identificados incidentes envolvendo medicamentos e dispositivos médicos (incluindo para diagnóstico in vitro) abaixo do padrão, falsificados, não registrados e roubados. Foram determinados os tipos de produtos, os estágios da cadeia de abastecimento em que foram detectados e as medidas tomadas pelas autoridades. Resultados. Foram identificados 1 273 incidentes em 15 países (1 087 produtos abaixo do padrão, 44 falsificados, 123 não registrados e 19 roubados). O maior número de incidentes estava relacionado a dispositivos médicos, desinfetantes e antissépticos. O ponto na cadeia de abastecimento com a maior frequência de relatos foi a de aquisição pela internet. As medidas tomadas pelas autoridades reguladoras foram principalmente alertas, proibições de uso, proibições de publicidade e fabricação, recolhimento de produtos do mercado e monitoramento de eventos adversos. Conclusões. Houve um número significativo de incidentes envolvendo produtos médicos abaixo do padrão falsificados, não registrados e roubados no início da pandemia de COVID-19. A escassez de insumos, a flexibilização das exigências regulatórias e o aumento da demanda são fatores que podem levar a um maior número de incidentes. As autoridades reguladoras nacionais de referência informaram um aumento na frequência de detecção de incidentes e implementação de medidas sanitárias. O canal de vendas pela internet precisa ser abordado com alguma estratégia regulatória para garantir a distribuição segura de produtos médicos.

Quality Assessment of Selected Essential Antimicrobial Drugs from Drug Retail Outlets of Selected Cities in Eastern Ethiopia.

The prevalence of substandard and falsified (SF) antimicrobial drugs is increasing around the globe. This poses a great concern for the healthcare system. The consumption of SF antimicrobial drugs has the potential to result in treatment failure, emergence and development of antimicrobial resistance, and ultimately a rise in mortality rate. The objective of this study was to assess the quality of four commonly used antimicrobials marketed in the cities of Dire Dawa and Jijiga and the town of Togo-Wuchale, which have high potential for illegal drug trade activities in Ethiopia because they are located near the border with Somalia. A total of 54 brands/samples of amoxicillin, amoxicillin/clavulanic acid, ciprofloxacin, and norfloxacin formulations were collected covertly from 43 facilities using a convenience sampling strategy from March 16 to March 29, 2022. The samples were first screened using Global Pharma Health Fund (GPHF)-Minilab protocols and then analyzed using U.S. Pharmacopoeial and British Pharmacopoeia official methods. The quality evaluation detected no falsified product; however, it showed that 14.3% of the samples failed the GPHF-Minilab screening test semiquantitatively. Overall, 22.2% of the products analyzed did not meet any of pharmacopoeial specifications assessed: 13%, 12.2%, and 11.1% of the products failed in assay, dissolution, and weight variation, respectively. Additionally, 56.3% of amoxicillin samples, 60% of amoxicillin/clavulanate, 20% of ciprofloxacin, and 54.5% of norfloxacin samples were found to be pharmaceutically nonequivalent with their respective comparator products regarding dissolution profiles. The study showed the presence of substandard antimicrobial medicines in the eastern Ethiopian market.

Substandard and falsified antimicrobials in selected east African countries: A systematic review.

BACKGROUND: Globally, millions of people have been affected by fraudulent pharmaceutical products, particularly those in developing countries. Although the problem of falsified and substandard drugs is acknowledged, the extent of the issue is ever-changing, has a dynamic nature, and should be quantified and captured in a recent snapshot. OBJECTIVE: This systematic review seeks to examine the data that can quantify and provide a current snapshot of the prevalence of SF antimicrobials in selected east Africa countries. METHODS: Scientific studies on antimicrobial quality were searched in PubMed, Embase, Scopus, and Google Scholar from 2017 to February 2023. The search strategy focused on scientific articles published in peer-reviewed scientific journals written in English and the studies exclusively done in any of the selected countries of east Africa. The articles were carefully reviewed by two individuals for inclusion independently, first by title followed by abstract and the full-text retrieval. To minimize bias associated with the methodology used for data collection, the quality of the studies was assessed for quality according to the Medicine Quality Assessment Reporting Guidelines (MEDQUARG). The reporting of this systematic review was done following Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA). RESULTS: Fifteen studies that estimated the prevalence of poor-quality antimicrobial medicines in selected four east African countries were included. The overall percentage of samples of antimicrobials that failed at least one quality test was 22.6% (151/669) with each class's prevalence of 17% in antibiotics (73/432), 24% in antimalarial (41/171), and 56% in anthelmintics (37/66). Quality control parameters of API content were the most commonly examined in the included studies, accounting for 14/15 (93%) studies. Fifty (33.1%) of the failing samples failed assay API- content determination, while 26.5% (n = 40) failed the visual inspection and packaging analysis; 19.2% (29) failed dissolution; 14% (n = 21) flawed hardness or friability; 4%(n = 6) failed uniformity, as well as 3.2% (n = 5) failed disintegration test of the quality control parameter. CONCLUSION: It was found that this review was general in these selected east African countries and was a catalyst for combating the menace of poor-quality medications that affect millions of lives.

Automated Classification of Quality Defect Issues Relating to Substandard Medicines Using a Hybrid Machine Learning and Rule-Based Approach.

BACKGROUND AND OBJECTIVE: Substandard medicines can lead to serious safety issues affecting public health; however, the nature of such issues can be widely heterogeneous. Health product regulators seek to prioritise critical product quality defects for review to ensure that prompt risk mitigation measures are taken. This study aims to classify the nature of issues for substandard medicines using machine learning to augment a risk-based and timely review of cases. METHODS: A combined machine learning algorithm with a keyword-based model was developed to classify quality issues using text relating to substandard medicines (CISTERM). The nature of issues for product defect cases were classified based on Medical Dictionary for Regulatory Activities-Health Sciences Authority (MedDRA-HSA) lowest-level terms. RESULTS: Product defect cases received from January 2010 to December 2021 were used for training (n = 11,082) and for testing (n = 2771). The machine learning model achieved a good recall (precision) of 92% (96%) for 'Product adulterated and/or contains prohibited substance', 86% (90%) for 'Out of specification or out of trend test result' and 90% (91%) for 'Manufacturing non-compliance'. CONCLUSION: Post-market surveillance of substandard medicines remains a key activity for drug regulatory authorities. A combined machine learning algorithm with keyword-based model can help to prioritise the review of product quality defect issues in a timely manner.

Usefulness of medicine screening tools in the frame of pharmaceutical post-marketing surveillance.

The negative consequences of Substandard and falsified (SF) medicines are widely documented nowadays and there is still an urgent need to find them in more efficient ways. Several screening tools have been developed for this purpose recently. In this study, three screening tools were used on 292 samples of ciprofloxacin and metronidazole collected in Cameroon. Each sample was then analyzed by HPLC and disintegration tests. Seven additional samples from the nitro-imidazole (secnidazole, ornidazole, tinidazole) and the fluoroquinolone (levofloxacin, ofloxacin, norfloxacin, moxifloxacin) families were analyzed to mimic falsified medicines. Placebo samples that contained only inert excipients were also tested to mimic falsified samples without active pharmaceutical ingredient (API). The three screening tools implemented were: a simplified visual inspection checklist, a low-cost handheld near infrared (NIR) spectrophotometer and paper analytical devices (PADs). Overall, 61.1% of the samples that failed disintegration and assay tests also failed the visual inspection checklist test. For the handheld NIR, one-class classifier models were built to detect the presence of ciprofloxacin and metronidazole, respectively. The APIs were correctly identified in all the samples with sensitivities and specificities of 100%. However, the importance of a representative and up-to-date spectral database was underlined by comparing models built with different calibration set spanning different variability spaces. The PADs were used only on ciprofloxacin samples and detected the API in all samples in which the presence of ciprofloxacin was confirmed by HPLC. However, these PADs were not specific to ciprofloxacin since they reacted like ciprofloxacin to other fluoroquinolone compounds. The advantages and drawbacks of each screening tool were highlighted. They are promising means in the frame of early detection of SF medicines and they can increase the speed of decision about SF medicines in the context of pharmaceutical post-marketing surveillance.

Rapid and nondestructive identification of adulterate capsules by NIR spectroscopy combined with chemometrics.

This study aims to develop a rapid and non-destructive method to identify counterfeit and substandard drugs, addressing the critical need for better quality control in drug production. According to the reasons for counterfeit products in actual production, the commonly used solid preparation excipients such as HPMC, MCC, Mg-St and Pregelatinized Starch, as well as three chemical drugs with similar efficacy to Guizhi-Fuling (GZFL) Capsule as adulterants, including Aspirin, Ibuprofen and Sinomenine Hydrochloride were selected and designed as adulteration samples with different levels of adulteration. NIR spectra were collected in a non-invasive mode and analyzed by one-class classification methods. The feasibility of using Near-infrared (NIR) spectroscopy as a detection method to qualitatively identify adulterated samples was explored at three packaging levels of powder, intact capsules and capsules in PVC. The differences between the samples were analyzed by NIR spectra comparison, cluster analysis and principal component analysis. The performance of SVM, OCPLS and DD-SIMCA models in dealing with the authentication of genuine and counterfeit products was established and compared. The results show that the spectra contain sample information and the adulterated samples could be discriminated correctly by established models. Moreover, applying appropriate spectral preprocessing methods can further improve the model's performance. In addition, a PLS regression model was developed to predict the adulteration levels of the three packing level samples, which yielded satisfactory results. This study highlights the potential of NIR spectroscopy combined with Chemometrics as a rapid and non-destructive testing analysis method to accurately identify counterfeit and substandard drugs, thereby ensuring drug quality.

Recall of substandard medicines in Brazil during the period 2010-2018.

BACKGROUND: Even with all the care taken during the production process, the pharmaceutical industries are still subject to manufacturing medicines with quality deviations, generating commercialized products without the required quality and necessitating their subsequent recall from the market. The objective of this study was to evaluate the reasons that led to the recall of medicines in Brazil in the period evaluated. METHODS: This is a descriptive study (using document analysis), on the recall of substandard medicines registered on the website of the National Health Surveillance Agency (ANVISA), from 2010 to 2018. The variables studied were the type of medicine (reference, generic, similar, specific, biological, herbal, simplified notification, new and radiopharmaceutical), type of pharmaceutical dosage form (solid, liquid, semi-solid and parenteral preparation), and reason for recall (Good manufacturing practices, quality and quality/good manufacturing practices). RESULTS: A total of n = 3,056 recalls of substandard medicine were recorded. Similar medicines had a higher recall index (30.1%), followed by generics (21.3%), simplified notification (20.7%) and reference (12.2%). Different dosage forms had similar recalls: solids (35.2%), liquids (31.2%) and parenteral preparations (30.0%), with the exception of semi-solids (3.4%). The reasons for the highest occurrences were related to good manufacturing practices (58.4%) and quality (40.4%). CONCLUSION: The probable cause for this high number of recalls is the fact that, even with all the quality controls and processes in accordance with good manufacturing practices, errors can occur, both human and in automated processes, thus causing the release of batches that should not have been approved. In summary, it is necessary for manufacturers to implement a robust and well structured quality system in order to avoid such deviations, and it is up to ANVISA to apply greater oversight in the post marketing of these products.

Prevalence of Poor Quality Ciprofloxacin and Metronidazole Tablets in Three Cities in Cameroon.

Quality is one of the essential components of medicines and needs to be ensured to preserve the population's health. This can be achieved through post-marketing quality control of medicines and is one of the most important duties of national regulatory authorities. In collaboration with the Cameroonian National Drug Quality Control and Valuation Laboratory, the decision was made to initiate a prevalence study to assess the quality of antiinfective medicines in Cameroon. A total of 150 samples of ciprofloxacin tablets and 142 samples of metronidazole tablets were collected from 76 licensed pharmacies and 75 informal vendors in three cities in Cameroon using a random strategy wherever possible and a mystery shopper approach. Three tests were carried out on each of the samples. Visual inspection allowed to find two falsified samples (0.7%) due to lack of information about the manufacturing company, and five more samples (1.7%) were deemed to be substandard due to flaws in the product. An additional 13 samples (4.5%) failed disintegration testing, and six (2.1%) others failed high-performance liquid chromatography assay testing due to insufficient active pharmaceutical ingredient (API) content. All samples were found to contain some API. A prevalence of 7.9% substandard or falsified (SF) medicines was found. Moreover, the prevalence of outlets selling SF medicines was greater in the informal sector (26.7%) than in the formal sector (2.6%). Although the prevalence of SF medicines found was low, efforts need to be made by national regulatory authorities to monitor the pharmaceutical market more closely.

Burden of and factors associated with poor quality antibiotic, antimalarial, antihypertensive and antidiabetic medicines in Malawi.

OBJECTIVE: To assess the prevalence and factors associated with substandard and falsified (SF) medicines among antibiotic, antimalarial, antihypertensive and antidiabetic medicines in Malawi. METHODS: We conducted a cross-sectional study in 23 public, faith-based and private health facilities in Zomba, Machinga and Nsanje districts. We analyzed oral medicine samples of commonly used medicines among antibiotics, antimalarial, antihypertensive and antidiabetics in accordance with Malawi Essential Medicines List and local treatment guidelines. These medicines were subjected to visual inspection for any defects and screening for the content of active pharmaceutical ingredient and disintegration of dosage units. Samples that failed during screening and at least 10% of those that passed were subjected to pharmacopeia assay and dissolution test for confirmation. We used thin layer chromatography and disintegration test methods provided in the Global Pharma Health Fund minilab® for the screening purposes. We conducted confirmatory test using High-Performance Liquid Chromatography (HPLC) or ultra-violet/visible spectrophotometer and dissolution. RESULTS: Of the 293 medicine samples collected, 14.3% were SF medicines. Among the SF medicines were 12.5% of Amlodipine (1/8), 19.2% of Amoxicillin (5/26), 72.2% of Atenolol (8/11), 21.2% of Ciprofloxacin (7/33), 14.3% of Enalapril (1/7), 44.4% of Flucloxacillin (4/9), and 35.7% of sulfadoxine/ pyrimethamine (10/28). Medicine quality was associated with therapeutic medicine class, stated origin of manufacturer, primary packaging material and geographical location. Antimalarial and antidiabetic medicines were of better quality as compared to antibiotics, odds ratio OR 4.2 (95% CI 1.7-9.49), p < 0.002 and OR 5.6 (95% CI 1.21-26.09), p < 0.028 respectively. In terms of stated country of origin, the prevalence of SF medicines was 30% (15/50), 33% (9/27), 26.7% (4/15) and 6.6% (8/122) for medicines stated to be manufactured in Malawi, China, Kenya and India respectively. CONCLUSION: This study presents the first findings on the assessment of quality of medicines since the establishment of the national pharmacovigilance center in 2019 in Malawi. It is revealed that the problem of SF medicines is not improving and hence the need for further strengthening of quality assurance systems in Malawi.

Development and Optimization of a New UPLC-UV/MS Method through DoE and MLR for Detecting Substandard Drug Products to Treat Tuberculosis.

Drug products used for treating tuberculosis are one of the most widely reported medicines to be classified as falsified or substandard in low- and middle-income countries, representing a major hazard to health. The aim of this study was, firstly, to develop an ultra-performance liquid chromatography (UPLC) method which is able to analyze fixed combination tablets with up to four active pharmaceutical ingredients, including isoniazid, pyrazinamide, rifampicin, and ethambutol. Secondly, we aimed to optimize it through the design of experiments and multi-linear regression based on a central composite design and to validate it according to the guidelines of the International Conference on Harmonization. The application of this tools enabled the identification of the influential factors (flow rate, formic acid, and temperature) and their effects on the studied responses (retention factor and percentage for each drug) as part of the quality by design approach. The method proved to be to be linear in the range from 5.0 to 15 µg/mL for isoniazid, pyrazinamide, and rifampicin, being precise (<1%) and accurate (97−101%). In addition, the method validated for ethambutol proved to be linear from 1.4 to 4.2 µg/mL, as well as precise (0.54%) and accurate (97.3%). The method was stability indicated for all the active pharmaceutical ingredients studied and was able to detect two substandard formulations sampled on the African market.

A risk classification model for prioritising the management of quality issues relating to substandard medicines in Singapore.

BACKGROUND: Monitoring for substandard medicines by regulatory agencies is a key post-market surveillance activity. It is important to prioritise critical product defects for review to ensure that prompt risk mitigation actions are taken. METHODS: A regulatory risk impact prioritisation model for product defects (RISMED) with 11 factors considering the seriousness and extent of impact of a defect was developed. The model generated an overall score that categorised cases into high, medium or low impact. The model was further developed into a statistical risk scoring model (stat-RISMED) using multivariate logistic regression that classified cases into high and non-high impact. Both models were evaluated against an expert-derived gold standard annotation corpus and tested on an independent dataset. RESULTS: Product defect cases received from January 2011 to June 2020 (n = 660) were used to train stat-RISMED and cases from July 2020 to June 2021 (n = 220) for validation. The stat-RISMED identified four factors associated with high impact cases, namely defect classification based on MedDRA-HSA terms, therapeutic indication of product, detectability of defect and whether any overseas regulatory actions were performed. Compared to RISMED, stat-RISMED achieved an improved sensitivity (94% vs 42%) and positive predictive value (47% vs 43%) for the identification of high impact cases, against the gold standard labels. CONCLUSIONS: This study reported characteristics that predicts cases with high impact, and the use of a statistical model to identify such cases. The model may potentially be applied to prioritise product defect issues and strengthen overall surveillance efforts of substandard medicines.

Pharmacovigilance: an evaluation on the practice of pharmacists acting in pharmacies and drugstores

Abstract Pharmacists acting in pharmacies and drugstores stores are some of the most accessible healthcare providers and the last to intervene before the patient takes their medicine. This puts the pharmacist in a position of authority that should be harnessed for the benefit of health. Thus, this professional is strategic for performing pharmacovigilance. Our objective of this study was to interrogate the practice of pharmacists in relation to pharmacovigilance activities, and to identify difficulties and possible stimuli for the improvement these activities in pharmacies and drugstores. The information was collected through an online questionnaire via Survey Monkey®. The data were analyzed statistically using SPSS software. Responses were received from 5174 pharmacists: mostly young women within five years of graduation and experience in pharmaceutical retail. 81% of them reported having identified suspected substandard medicines, but only 16% used the Brazilian notification system Notivisa. More than 85% of pharmacists agreed with the importance of pharmacovigilance and the recognition of reporting services as part of pharmacist duties and pharmaceutical care. The main barriers to making notifications were the lack of access and knowledge about Notivisa. Pharmacists agreed that simplifying the system would be a stimulus for notifications, and requested more feedback from notifications, as well as material and courses to understand the notification process. Pharmacists have important data to feed into pharmacovigilance systems, recognize their responsibilities and are willing to contribute, but still demonstrate low compliance. Simplification of the system and training on it are likely to increase notifications.

Implementation of field detection devices for antimalarial quality screening in Lao PDR-A cost-effectiveness analysis.

Substandard and falsified (SF) antimalarials have devastating consequences including increased morbidity, mortality and economic losses. Portable medicine quality screening devices are increasingly available, but whether their use for the detection of SF antimalarials is cost-effective is not known. We evaluated the cost-effectiveness of introducing such devices in post-market surveillance in pharmacies in Laos, conservatively focusing on their outcome in detecting SF artemisinin-based combination therapies (ACTs). We simulated the deployment of six portable screening devices: two handheld near-infrared [MicroPHAZIR RX, NIR-S-G1], two handheld Raman [Progeny, TruScan RM]; one portable mid-infrared [4500a FTIR] spectrometers, and single-use disposable paper analytical devices [PADs]. We considered two scenarios with high and low levels of SF ACTs. Different sampling strategies in which medicine inspectors would test 1, 2, or 3 sample(s) of each brand of ACT were evaluated. Costs of inspection including device procurement, inspector time, reagents, reference testing, and replacement with genuine ACTs were estimated. Outcomes were measured as disability adjusted life years (DALYs) and incremental cost-effectiveness ratios were estimated for each device compared with a baseline of visual inspections alone. In the scenario with high levels of SF ACTs, all devices were cost-effective with a 1-sample strategy. In the scenario of low levels of SF ACTs, only four devices (MicroPHAZIR RX, 4500a FTIR, NIR-S-G1, and PADs) were cost-effective with a 1-sample strategy. In the multi-way comparative analysis, in both scenarios the NIR-S-G1 testing 2 samples was the most cost-effective option. Routine inspection of ACT quality using portable screening devices is likely to be cost-effective in the Laos context. This work should encourage policy-makers or regulators to further investigate investment in portable screening devices to detect SF medicines and reduce their associated undesired health and economic burdens.

Laboratory evaluation of twelve portable devices for medicine quality screening.

BACKGROUND: Post-market surveillance is a key regulatory function to prevent substandard and falsified (SF) medicines from being consumed by patients. Field deployable technologies offer the potential for rapid objective screening for SF medicines. METHODS AND FINDINGS: We evaluated twelve devices: three near infrared spectrometers (MicroPHAZIR RX, NIR-S-G1, Neospectra 2.5), two Raman spectrometers (Progeny, TruScan RM), one mid-infrared spectrometer (4500a), one disposable colorimetric assay (Paper Analytical Devices, PAD), one disposable immunoassay (Rapid Diagnostic Test, RDT), one portable liquid chromatograph (C-Vue), one microfluidic system (PharmaChk), one mass spectrometer (QDa), and one thin layer chromatography kit (GPHF-Minilab). Each device was tested with a series of field collected medicines (FCM) along with simulated medicines (SIM) formulated in a laboratory. The FCM and SIM ranged from samples with good quality active pharmaceutical ingredient (API) concentrations, reduced concentrations of API (80% and 50% of the API), no API, and the wrong API. All the devices had high sensitivities (91.5 to 100.0%) detecting medicines with no API or the wrong API. However, the sensitivities of each device towards samples with 50% and 80% API varied greatly, from 0% to 100%. The infrared and Raman spectrometers had variable sensitivities for detecting samples with 50% and 80% API (from 5.6% to 50.0%). The devices with the ability to quantitate API (C-Vue, PharmaChk, QDa) had sensitivities ranging from 91.7% to 100% to detect all poor quality samples. The specificity was lower for the quantitative C-Vue, PharmaChk, & QDa (50.0% to 91.7%) than for all the other devices in this study (95.5% to 100%). CONCLUSIONS: The twelve devices evaluated could detect medicines with the wrong or none of the APIs, consistent with falsified medicines, with high accuracy. However, API quantitation to detect formulations similar to those commonly found in substandards proved more difficult, requiring further technological innovation.

A comparative field evaluation of six medicine quality screening devices in Laos.

BACKGROUND: Medicine quality screening devices hold great promise for post-market surveillance (PMS). However, there is little independent evidence on their field utility and usability to inform policy decisions. This pilot study in the Lao PDR tested six devices' utility and usability in detecting substandard and falsified (SF) medicines. METHODOLOGY/PRINCIPAL FINDINGS: Observational time and motion studies of the inspections by 16 Lao medicine inspectors of 1) the stock of an Evaluation Pharmacy (EP), constructed to resemble a Lao pharmacy, and 2) a sample set of medicines (SSM); were conducted without and with six devices: four handheld spectrometers (two near infrared: MicroPHAZIR RX, NIR-S-G1 & two Raman: Progeny, Truscan RM); one portable mid-infrared spectrometer (4500a), and single-use paper analytical devices (PAD). User experiences were documented by interviews and focus group discussions. Significantly more samples were wrongly categorised as pass/fail with the PAD compared to the other devices in EP inspections (p<0.05). The numbers of samples wrongly classified in EP inspections were significantly lower than in initial visual inspections without devices for 3/6 devices (NIR-S-G1, MicroPHAZIR RX, 4500a). The NIR-S-G1 had the fastest testing time per sample (median 93.5 sec, p<0.001). The time spent on EP visual inspection was significantly shorter when using a device than for inspections without devices, except with the 4500a, risking missing visual clues of samples being SF. The main user errors were the selection of wrong spectrometer reference libraries and wrong user interpretation of PAD results. Limitations included repeated inspections of the EP by the same inspectors with different devices and the small sample size of SF medicines. CONCLUSIONS/SIGNIFICANCE: This pilot study suggests policy makers wishing to implement portable screening devices in PMS should be aware that overconfidence in devices may cause harm by reducing inspectors' investment in visual inspection. It also provides insight into the advantages/limitations of diverse screening devices in the hands of end-users.

Augmenting Product Defect Surveillance Through Web Crawling and Machine Learning in Singapore.

INTRODUCTION: Substandard medicines are medicines that fail to meet their quality standards and/or specifications. Substandard medicines can lead to serious safety issues affecting public health. With the increasing number of pharmaceuticals and the complexity of the pharmaceutical manufacturing supply chain, monitoring for substandard medicines via manual environmental scanning can be laborious and time consuming. METHODS: A web crawler was developed to automatically detect and extract alerts on substandard medicines published on the Internet by regulatory agencies. The crawled data were labelled as related to substandard medicines or not. An expert-derived keyword-based classification algorithm was compared against machine learning algorithms to identify substandard medicine alerts on two validation datasets (n = 4920 and n = 2458) from a later time period than training data. Models were comparatively assessed for recall, precision and their F1 scores (harmonic mean of precision and recall). RESULTS: The web crawler routinely extracted alerts from the 46 web pages belonging to nine regulatory agencies. From October 2019 to May 2020, 12,156 unique alerts were crawled of which 7378 (60.7%) alerts were set aside for validation and contained 1160 substandard medicine alerts (15.7%). An ensemble approach of combining machine learning and keywords achieved the best recall (94% and 97%), precision (85% and 80%) and F1 scores (89% and 88%) on temporal validation. CONCLUSIONS: Combining robust web crawler programmes with rigorously tested filtering algorithms based on machine learning and keyword models can automate and expand horizon scanning capabilities for issues relating to substandard medicines.

Mobile apps for detecting falsified and substandard drugs: A systematic review.

The use of substandard and counterfeit medicines (SCM) leads to significant health and economic consequences, like treatment failure, rise of antimicrobial resistance, extra expenditures of individuals or households and serious adverse drug reactions including death. Our objective was to systematically search, identify and compare relevant available mobile applications (apps) for smartphones and tablets, which use could potentially affect clinical and public health outcomes. We carried out a systematic review of the literature in January 2020, including major medical databases, and app stores. We used the validated Mobile App Rating Scale (MARS) to assess the quality of apps, (1 worst score, 3 acceptable score, and 5 best score). We planned to evaluate the accuracy of the mobile apps to detect SCM. We retrieved 335 references through medical databases and 42 from Apple, Google stores and Google Scholar. We finally included two studies of the medical database, 25 apps (eight from the App Store, eight from Google Play, eight from both stores, and one from Google Scholar), and 16 websites. We only found one report on the accuracy of a mobile apps detecting SCMs. Most apps use the imprint, color or shape for pill identification, and only a few offer pill detection through photographs or bar code. The MARS mean score for the apps was 3.17 (acceptable), with a maximum of 4.9 and a minimum of 1.1. The 'functionality' dimension resulted in the highest mean score (3.4), while the 'engagement' and 'information' dimensions showed the lowest one (3.0). In conclusion, we found a remarkable evidence gap about the accuracy of mobile apps in detecting SCMs. However, mobile apps could potentially be useful to screen for SCM by assessing the physical characteristics of pills, although this should still be assessed in properly designed research studies.

Substandard, falsified and unregistered medicines in Latin America, 2017-2018

[ABSTRACT]. Objective. To assess all the incidents of substandard, falsified and unregistered medicines in 2017 and 2018 in Latin America, determining the types of products affected, stages of the supply chain in which incidents were detected, quality deviations identified in tested samples, and regulatory measures taken by authorities. Methods. A comprehensive search of the websites of the Latin American national regulatory authorities was conducted, identifying all eligible incidents during 2017-2018. Standardized values were collected from each incident for pre-determined variables: country, year, type of incident, therapeutic group, supply chain, regulatory measures and laboratory data. Results. A total of 596 incidents in 13 countries were included (236 substandard, 239 falsified, 116 unregistered and 5 stolen). The therapeutic categories with the highest incidents were: anti-infectives, medicines for pain/palliative care, hormones/contraceptives, medicines for the respiratory tract, and medicines for mental/behavioural disorders. The most common places where incidents were detected were commercial establishments, pharmacies, health services and manufacturers. The most recurrent quality deviations were failure in parameters (appearance or physicochemical), incorrect labelling, different quantity of active pharmaceutical ingredient, presence of unknown particles, and microbiological contamination. The most frequent regulatory measures identified were alerts, withdrawals, seizures, and prohibition of marketing/distribution/use. Conclusions. In Latin America, substandard, falsified and unregistered medicines persist as a highly prevalent problem. An advanced degree of regulatory development in countries is associated with higher incident detection/reporting rates and a more comprehensive set of measures. The pharmaceutical supply chain is more vulnerable in its final node. Quality deviations identified in tested samples pose serious risks to public health.

[RESUMEN]. Objetivo. Evaluar todos los incidentes de medicamentos de calidad subestándar, falsificados y no registrados en 2017 y 2018 en América Latina, y determinar los tipos de productos afectados, los puntos de la cadena de suministro en los que se detectaron incidentes, las desviaciones de calidad identificadas en las muestras analizadas y las medidas regulatorias adoptadas por las autoridades. Métodos. Se realizó una búsqueda exhaustiva en los sitios web de las autoridades regulatorias nacionales de América Latina y se identificaron todos los incidentes elegibles publicados durante 2017 y 2018. Se recogieron valores estandarizados de cada incidente conforme a variables predeterminadas: país, año, tipo de incidente, grupo terapéutico, cadena de suministro, medidas regulatorias, y datos de laboratorio. Resultados. Se incluyeron en total 596 incidentes de 13 países (236 relacionados con calidad subestándar, 239 falsificados, 116 no registrados y 5 robados). Las categorías terapéuticas con mayor número de incidentes fueron los agentes antiinfecciosos, los medicamentos para el dolor/cuidados paliativos, las hormonas/anticonceptivos, los medicamentos para las vías respiratorias y los medicamentos para trastornos mentales/del comportamiento. Los lugares más comunes en los que se detectaron incidentes fueron los establecimientos comerciales, las farmacias, los servicios de salud y los fabricantes. Las fallas de calidad más recurrentes fueron deficiencia de los parámetros (fisicoquímicos, o el aspecto), etiquetado incorrecto, cantidad diferente del principio activo, presencia de partículas desconocidas y contaminación microbiológica. Las medidas regulatorias identificadas con más frecuencia fueron las alertas, los retiros e incautaciones del producto, y la prohibición de su comercialización, distribución o uso. Conclusiones. En América Latina, los medicamentos de calidad subestándar, falsificados y no registrados continúan siendo un problema frecuente. Un desarrollo regulatorio avanzado se asocia con tasas más altas de detección y notificación de incidentes, y un conjunto más amplio de medidas en los países. La cadena de suministro farmacéutico es más vulnerable en su último eslabón. Las desviaciones de calidad identificadas en las muestras analizadas plantean graves riesgos para la salud pública.