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Pharmaceutical pictograms: User-centred redesign, selection and validation.
Malhotra, Rahul; Tan, Yi Wen; Suppiah, Sumithra Devi; Tay, Sarah Siew Cheng; Tan, Ngiap Chuan; Liu, Jianying; Koh, Gerald Choon-Huat; Chan, Alexandre; Vaillancourt, Régis.
  • Malhotra R; Centre for Ageing Research & Education, Duke-NUS Medical School, Singapore.
  • Tan YW; Health Services and Systems Research, Duke-NUS Medical School, Singapore.
  • Suppiah SD; Centre for Ageing Research & Education, Duke-NUS Medical School, Singapore.
  • Tay SSC; Centre for Ageing Research & Education, Duke-NUS Medical School, Singapore.
  • Tan NC; SingHealth Polyclinics, Singapore.
  • Liu J; SingHealth Polyclinics, Singapore.
  • Koh GC; SingHealth Polyclinics, Singapore.
  • Chan A; Saw Swee Hock School of Public Health, National University of Singapore, Singapore.
  • Vaillancourt R; Department of Clinical Pharmacy Practice, University of California, Irvine, USA.
PEC Innov ; 2: 100116, 2023 Dec.
Article en En | MEDLINE | ID: mdl-37214531
ABSTRACT

Objective:

In an earlier study, several tested International Pharmaceutical Federation (FIP) pictograms did not achieve validity among older adults in Singapore. In this study, for 27 unvalidated FIP pictograms, we (1) developed variants of each pictogram, (2) elicited the most-preferred variant, and (3) assessed the validity of the most-preferred variant among older Singaporeans.

Methods:

In phase 1, up to three variants of the 27 pictograms were developed, based on older adults' feedback from a previous study. In phase 2, the most-preferred variant of 26 pictograms, which had two or three variants, was selected by 100 older participants. In phase 3, the 27 most-preferred variants (including the pictogram with only one variant) were assessed for validity - transparency and translucency - among 278 older participants (10 pictograms per participant). To evaluate transparency, participants were first asked "If you see this picture on a medicine label, what do you think it means?" for each assigned pictogram. If they responded, they were asked, "How do you know?", and if not, they were told, "Tell me everything you see in this picture". Then, participants were shown their assigned pictograms again, one by one, and the pictogram's intended meaning was revealed to evaluate translucency. Pictograms were classified as valid (≥66% participants interpreted its intended meaning correctly [transparency criterion] and ≥85% participants rated its representativeness as ≥ 5 [translucency criterion]), partially valid (only transparency criterion fulfilled) or not valid.

Results:

In phase 1, 77 variants of the 27 pictograms were developed. In phase 2, a majority of the most-preferred variants were selected by >50% participants. In phase 3, 10 (37.0%) of the 27 pictograms tested were considered valid, and five (18.5%) were partially valid. A higher proportion of pictograms portraying dose and route of administration and precautions were valid or partially valid, versus those depicting indications or side effects.

Conclusion:

Contextual redesigning and selection of pharmaceutical pictograms, which initially failed to achieve validity in a population, contributed to their validation. Innovation The redesigned validated pictograms from this study can be incorporated into relevant patient information materials in clinical practice.
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