Complex generic drug-device combination products are typically difficult to develop, which means that many of these products face less competition than non-complex products, and therefore can be more expensive and less accessible to patients. A generic drug-device combination product is expected to produce the same clinical effect and safety profile of the reference listed drug; however, it does not need to be identical in all respects, and in certain instances, differences in the design of the user interface for a generic combination product may exist.
- Recognize how FDA evaluates differences in UI for generic combination products
- Learn to identify factors that inform categorization of UI differences
- Discuss pre-ANDA interactions with FDA to enhance submission quality
Incorporating HFE into product development and compiling HFE documentation that meets the increasingly stringent requirements of regulators globally can be challenging and costly. This presentation describes considerations and approaches that can be taken to build robust HFE strategies that are efficient and cost effective, taking into account differing global requirements and ensuring product designs and documentation are acceptable to regulators.
One of the biggest pitfalls for device designers is starting HFE too late in their projects. Once the device is already designed, attempting to back-fill HFE files and run validation studies with the assumption that it will pass is a recipe for disaster, and one you need to take pains to avoid – every time.
- Clearly document the story of how HFE was involved in your design from start to finish
- Note the steps that made your device easier and/or safer to use
- Avoid drawing broad conclusions from a small or even unique data sample
It is actually possible to go too far in making user groups comfortable. Under normal use conditions, they may feel anxiety and fear about using the device – and your tests need to represent and capture this.
- Recognize that it is impossible to eliminate all stresses, distractions, and time pressures in real-use circumstances
- Acknowledge the testing risk of overly relaxed users, who don’t pay attention, listen to instructions, or try their best to use the product as intended
- Emphasize that the users themselves are not what the test measures
Should your IFU be written at an 8th grade reading level – or does that bring unnecessary risk of user confusion and stumbles? Understanding and asking questions about user literacy is time-consuming, but pays off when it comes time for summative testing.
- Closely analyze user literacy levels – including to outsourced specialty partners when necessary
- Correlate clinical studies with what goes into IFUs
- Build efficacy data back into HF studies
From specialized physicians to rare disease populations, certain device user groups can be very hard to contact or recruit in sufficient numbers. This rarity can also raise ethical concerns about the testing itself.
- Get clarity from FDA on acceptability of surrogates
- Weigh pros and cons of smaller sample sizes
- Track patterns in mixed responses and chart a new way forward
- Make sure you are not naïve about the expectations of physicians
How much detail is necessary for use cases and uFMEA reports? Does this change based on the simplicity or complexity of the device? It can be challenging to strike the appropriate balance on providing detail in uFMEAs and overall usability engineering reports so they remain manageable in size for external reviewers.
FDA focuses only on harm, not probability – but without it, can we really assess risk? Risk mitigation strategies often lean heavily on IFUs, which can make them overcomplicated and off-putting for users.
- Confront the trade-off on risk analysis
- Avoid the trap of accounting for every possible risk in a user-unfriendly IFU package
- Acknowledge the importance of probability and severity in honest risk assessment
In combination products, drug partners can impact the device more than they even realize. While they may seem simple at first, formulation and viscosity changes can greatly impact device design, function, and UI.
- Find the right times to communicate changes with formulation and clinical partners
- Clarify how formulation partners can lessen the burdens you will encounter in clinical trials
- Keep the relationship between all pieces and partners well-defined
Your users might be anxious about using the device, and even more concerned about being publicly seen making a mistake using it. Moderators should carefully level-set from the very beginning, as soon as users enter the facility. By helping them overcome fear and embarrassment, you can set up a more useful and critical dialogue to guide development.
- Have users understand that they themselves are not being tested, but rather they are helping a project
- Show examples of early-stage labeling that was helped by formative studies
- Emphasize the option for giving back to society
Medical device human factors is often centered around safety and efficacy. 'Ease of use' can also be a key consideration - but how do you know if your prototype or marketed device is easy to use; or not? As it turns out, this is not an easy question.
- Consider existing metrics, which might not be optimized for medical device or patient-based evaluations
- Develop custom validations or metrics suitable for evaluations that are meaningful to your end-users or user groups
- Build on Inogen’s Absolute Ease of Use model, which we present as a case study of a metric designed to assess ease of use for technology used by oxygen patients
As patients age and chronic disease numbers rise, the healthcare system faces rising pressures to develop less burdensome drug delivery platforms. Wearable injectors can significantly reduce burdens on patients and caregivers, as long as their design teams properly center the importance of minimizing risk of use error and delayed or missed treatment.
- Track the evolution of BD’s Libertas™ wearable injector in response to feedback from users and experts
- Highlight usability considerations including dose delivery projection, adhesive pad design, and user ability to detect an injection stall
- Consider future implications for development of safe, effective wearables for clinical and new-care settings
It is increasingly common for algorithms to perform specimen tests, such as in digital pathology diagnostics – and getting users comfortable with allowing machines to take part of their job has proven to be a major hurdle. What UI do they need so they can sufficiently monitor what is going on and trust what their algorithmic assistant decides?
- Figure out what data and displays your interface must present so diagnosticians stay comfortable
- Address concerns over liability in case of algorithm mistakes
- Make the case that this is more a benefit to their workflow than a threat
It is hard enough to translate clinical study results into commercial products that in you may wish to leave some features out of consideration as medical devices in commercial stages altogether. Certain software applications may fall in a “grey area” between medical device features or promotional / marketing material, and it may be better for the product and your audience overall if you repurpose or abandon some features.
- Recognize when the highly controlled environment of a clinical trial fails to represent the home environment – and what impact this has on the applicability of device software
- Identify digital features that would require significant additional training for patients and determine the thresholds where they could be repurposed as performance trackers
- Set your cut-off points for features you decide not to bring forward into commercial