Background: Substandard and falsified medicines, mainly prevalent in low and middle-income countries (LMICs), cause avoidable morbidity and mortality, and put at stake the performance of health systems. They may be prevented by an adequate implementation of pharmaceutical Quality Assurance (QA) guidelines, but unfortunately, most guidelines address upstream stakeholders and specialized staff in the supply chain. A multi-layered approach is needed, in order to empower the health workers at the point-of-care to proactively contribute to the fight against poor-quality medicines.Visual inspection is a simple technique, suitable for field screening. The findings of a survey conducted in the Democratic Republic of the Congo (DRC) suggested that it might be a fairly good (yet partial) predictor of poor-quality, when compared to full laboratory tests.
Methods And Results: Starting from the 68-questions checklist originally used in the survey in the DRC, we developed a simplified checklist, specifically designed to guide health workers at the point of care to rapidly identify suspect poor-quality medicines. We selected those medicines' attributes the assessment of which does not require technical expertise, or access to regulatory information. Attributes were categorized according to a 3-level risk scale, to guide decision-making on suspect poor-quality medicines, based on an informed risk assessment.The simplified checklist contains 26 binary questions (YES/NO), grouped into four themes: packaging, identification, traceability, and physical appearance. Each non-conformity corresponds to a level of risk for patients. The user is guided towards three possible actions: A) reasonably safe for dispensing; B) dispense with explanation; C) quarantine and make a risk-benefit evaluation before dispensing.
Conclusion: The simplified checklist should now be implemented in real-life setting in LMICs. If proven useful in guiding health workers at the point-of-care to take rapid, transparent, patient-centred actions when facing a suspect poor-quality medicine, it could be further extended to address specific formulations. Digitalization for linkage with pharmacovigilance programs could also be considered.
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http://dx.doi.org/10.1186/s40545-020-00211-9 | DOI Listing |
Heliyon
January 2025
Institute of Biomedicine of Málaga (IBIMA), 29010, Málaga, Spain.
Background: Chronic kidney disease is a global problem characterized by a progressive decrease in kidney function with associated symptoms. A better understanding of these symptoms could lead to the development of personalized strategies.
Objective: This systematic review aims to describe the clusters of symptoms in kidney failure and categorize them according to their time of onset and how disabling they are for patients.
Psychiatry Res
February 2025
Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, Institute for Brain Research and Rehabilitation, Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou 510630, China. Electronic address:
Background: Early screening for autism spectrum disorder (ASD) is crucial, yet current assessment tools in Chinese primary child care are limited in efficacy.
Objective: This study aims to employ machine learning algorithms to identify key indicators from the 20-item Modified Checklist for Autism in Toddlers, revised (M-CHAT-R) combining with ASD-related sociodemographic and environmental factors, to distinguish ASD from typically developing children.
Methods: Data from our prior validation study of the Chinese M-CHAT-R (August 2016-March 2017, n = 6,049 toddlers) were reviewed.
Recently, mandated FDA patient decision checklists were developed with the goal of improving the informed decision-making process for patients considering breast implants. However, these checklists are written at reading levels far higher than recommended by the National Institutes of Health and the American Medical Association. This study aims to improve the accessibility, and therefore, the utility of the mandated FDA patient literature for the average breast implant patient using the assistance of artificial intelligence (AI).
View Article and Find Full Text PDFJMIR Form Res
December 2024
Institute of Sports Medicine, Goethe University Frankfurt/Main, Frankfurt, Germany.
Background: The development of a medical device requires strict adherence to regulatory processes. Prehabilitation in this context is a new area in surgery that trains, coaches, and advises patients in mental well-being, nutrition, and physical activity. As staff is permanently drained from clinical care, remote and digital solutions with real-time assessments of data, including patient-related outcome reporting, may simplify preparation before major surgeries.
View Article and Find Full Text PDFAAPS PharmSciTech
November 2024
Clinical Pharmacy Department, Faculty of Pharmacy, Beni-Suef University, Beni-Suef, Egypt.
The objective of this study was to assess the use of pMDI alone and pMDI with different spacers in asthmatic patients and to identify any associations between errors in handling the device for the first time and the sessions needed to reach the correct handling method, considering patient demographics and clinical characteristics. A total of 150 Asthmatic patients were crossed over to handle pMDI alone and with add-on inhalable devices (Aerochamber plus, Tips Haler, Able, Dispozable and Aer-8) randomly, without receiving verbal or demonstrative instruction (baseline assessment). The assessment of the inhaler technique was performed using checklists that had been set beforehand.
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