| Literature DB >> 31663157 |
Markus A Feufel1, Gudrun Rauwolf1, Felix C Meier1, Fatma Karapinar-Çarkit2, Maren Heibges1.
Abstract
Even the most effective drug product may be used improperly and thus ultimately prove ineffective if it does not meet the perceptual, motor and cognitive capacities of its target users. Currently, no comprehensive guideline for systematically designing user-centric drug products that would help prevent such limitations exists. We have compiled a list of approximate but nonetheless useful strategies-heuristics-for implementing a user-centric design of drug products and drug product portfolios. First, we present a general heuristic for user-centric design based on the framework of Human Factors and Ergonomics (HF/E). Then we demonstrate how to implement this general heuristic for older drug users (i.e., patients and caregivers aged 65 years and older) and with respect to three specific challenges (use-cases) of medication management: (A) knowing what drug product to take/administer, (B) knowing how and when to take/administer it, and (C) actually taking/administering it. The presented heuristics can be applied prospectively to include existing knowledge about user-centric design at every step during drug discovery, pharmaceutical drug development, and pre-clinical and clinical trials. After a product has been released to the market, the heuristics may guide a retrospective analysis of medication errors and barriers to product usage as a basis for iteratively optimizing both the drug product and its portfolio over their life cycle.Entities:
Keywords: consumer health information; drug design and labelling; ergonomics; human engineering; medication errors; patient safety; patient-centric design; self-administration; user-centric design
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Year: 2020 PMID: 31663157 PMCID: PMC7495287 DOI: 10.1111/bcp.14134
Source DB: PubMed Journal: Br J Clin Pharmacol ISSN: 0306-5251 Impact factor: 4.335
A set of heuristics for user‐centric drug product designa
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Step 1: Define what should be done with a product (e.g., Use‐case A, B or C). Step 2: Define what should NOT be done with a product (e.g., prioritize potential medication errors). Step 3: Identify what level of cognitive control is needed for the use‐cases (i.e., perceptual, motor, rule‐based or conceptual control) and minimize related cognitive effort. In order to do so, user‐centric design should support perceptual and/or motor control before requiring rule‐based or conceptual control. |
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To support discrimination between products, use unique and consistent combinations of verbal labels and perceptual codes (e.g., colour, shape, size, surface texture). Continuous differences between products (e.g., concentration levels) should be coded using continuous perceptual dimensions (e.g., size, colour saturation), whereas categorical differences between products (e.g., different ingredients) are best specified with categorically distinct perceptual features (e.g., colour hues). Given that no guideline exists, perceptual codes must be iteratively usability tested. |
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To enhance readability, use a single sans‐serif font at least 12 points in size. Also use line spacing of at least 1.5, with additional spacing between paragraphs to separate distinct units of text. Lines should be no longer than 80 characters and left‐justified without end‐of‐line hyphenation. Text should be printed with high contrast. |
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| To design easy‐to‐comprehend text, information on why one should use the drug (purpose) should be provided first, then how much and how often it should be used, and finally, its potential side effects. |
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| To communicate numerical information, provide absolute numbers for risks and benefits with a comparison of two identical reference groups—usually 100 or 1000 people in both the intervention and control group. |
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| Illustrations/diagrams may increase comprehensibility. Given that people may differ in reading and graph literacy, illustrations/diagrams must be accompanied by and closely aligned with explanatory text to maximize comprehensibility. |
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Facilitating motor control is key to preventing medication errors in the majority of users. Almond‐shaped tablets, To avoid confusing users, a perceptual feature should be used consistently and should support only one motor function. Potential trade‐offs between product handling and swallowability (e.g., related to size) should be considered. Given that no guideline exists, design for motor control must be iteratively usability tested. |
Heuristics are defined as approximate but useful problem‐solving strategies.
Figure 1Examples of the front side (left) and back side (right) of four drug products (one per row), each with different and more or less effective codes to specify differences in strength. From top to bottom, the following examples are shown:
Lisinopril 5, 10, 20 mg (strength is coded verbally, but readability may be low due to small font size, especially if visual acuity is low).
Enalapril 5, 10, 20 mg (strength is coded with shape and colour; switch of codes between 5 mg and 10/20 mg may obscure the fact that the tablets contain the same ingredient).
Olanzapin velotab 5, 10, 15, 20 mg (strength is coded using proportional changes in size to support comparisons; information on absolute strength cannot be inferred without additional verbal labels).
Diazepam 2, 5, 10 mg (strength is coded verbally and with colour; colour codes for continuous variables such as strength must be learned and remembered, potentially taxing users' cognitive resources; however, colour may be effective for specifying categorical differences, e.g., between ingredients)
Figure 2The packaging of Olanzapin velotab (Zyprexa) 5, 10, 15 and 20 mg strengths are shown here from left to right. The differences in strength (a continuous variable) are colour coded on the upper part of the packaging using different hues, suggesting categorical differences between the tablets. Once the packaging is removed, all tablets are off‐white and differ only marginally in size between 5 and 10 mg and 15 and 20 mg, hampering recognition of differences in strength
Examples of icon‐arrays communicating the baseline risk of a stroke for a defined population of 1,000 people without drug product (left) compared to 1,000 people taking an imaginary drug product aimed at reducing this risk (right). Potential side effects are omitted in this example but may also be included using another colour. Icon‐arrays were generated using http://www.iconarray.com