How to prevent medication errors: a multidimensional scaling study to investigate the distinguishability between...

Area of Science:

• Pharmaceutical technology
• Human-computer interaction
• Medical device design

Background:

• Subcutaneous drug delivery via self-injection devices is increasingly common.
• Similar device designs raise concerns about distinguishability and medication errors.
• Understanding user perception of device differences is crucial.

Purpose of the Study:

• To determine if users can effectively differentiate between self-injection device variants.
• To identify specific device attributes that influence user distinguishability.

Main Methods:

• Seventy-four participants (patients, caregivers, healthcare professionals) rated similarities of eight autoinjector variants.
• Multidimensional scaling analyzed ratings to identify key distinguishing attributes.

Main Results:

• Five attributes were found to drive device distinguishability.
• These include label color, device size, device shape, aspect ratio, and chromaticity.
• Specific user groups showed distinct patterns in distinguishing devices.

Conclusions:

• Empirical evidence confirms users can distinguish between self-injection device variants.
• Device attributes like color, size, shape, aspect ratio, and chromaticity are key.
• User characteristics and context influence how devices are distinguished, aiding error prevention.