Dashboard on portable devices for medicine quality screening

An interactive digital tool to make information on portable screening devices accessible, understandable and meaningful

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Portable devices can rapidly detect substandard and falsified medicinal products in the field, and both the number of devices and related scientific literature is growing. But medicine regulatory authorities considering these tools for their supply chains can struggle to identify, access and compare the available evidence.  The DAFODIL interactive digital tool makes this information accessible, understandable and meaningful.

Screening technologies for substandard and falsified medicines – great hope, little evidence

The Context

‘Prevent, detect and respond’ are the three pillars of the World Health Organization (WHO) strategy to fight harmful substandard and falsified (SF) medical products. However, the detection of these products remains a challenge in many low-resource settings. Medicine Regulatory Authorities in low- and middle-income countries currently often have to rely only on their observations and knowledge as they monitor the medicines available in their supply chains.

Portable screening technologies offer the potential for a more objective analysis of medicines in the field. But two separate reviews highlight how it can be difficult to assess which device to use:

The field continues to grow: since the publication of these reviews, the Medicines Quality Research Group has identified 75 additional research studies, 19  of them describing newly developed or improved versions of existing devices. Market analysis paper predicts a 1.5-fold expansion of the demand for falsified medicines detection devices in 2022-2029, for a market already valued at $1.14 billion in 2022.

Many more portable screening devices will reach therefore enter an expanding market, with more scientific studies on these devices. Without the right tools to access and understand the available evidence, decision-makers will struggle to identify and analyse this work, and to translate this data into policy. 

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Funders

We are very grateful for the funding for this work from the Gates Foundation.