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Pharmaceutical pictograms: User-centred redesign, selection and validation
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, an...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10194347/ https://www.ncbi.nlm.nih.gov/pubmed/37214531 http://dx.doi.org/10.1016/j.pecinn.2022.100116 |
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author | 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 |
author_facet | 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 |
author_sort | Malhotra, Rahul |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10194347 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-101943472023-05-19 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 PEC Innov Full length article 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. Elsevier 2022-12-09 /pmc/articles/PMC10194347/ /pubmed/37214531 http://dx.doi.org/10.1016/j.pecinn.2022.100116 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Full length article 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 Pharmaceutical pictograms: User-centred redesign, selection and validation |
title | Pharmaceutical pictograms: User-centred redesign, selection and validation |
title_full | Pharmaceutical pictograms: User-centred redesign, selection and validation |
title_fullStr | Pharmaceutical pictograms: User-centred redesign, selection and validation |
title_full_unstemmed | Pharmaceutical pictograms: User-centred redesign, selection and validation |
title_short | Pharmaceutical pictograms: User-centred redesign, selection and validation |
title_sort | pharmaceutical pictograms: user-centred redesign, selection and validation |
topic | Full length article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10194347/ https://www.ncbi.nlm.nih.gov/pubmed/37214531 http://dx.doi.org/10.1016/j.pecinn.2022.100116 |
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