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A randomized controlled trial of analogue pharmacogenomic testing feedback for psychotropic medications
OBJECTIVE: To examine the impact of various presentations of pharmacogenomic testing results using a published, color-coded decision support tool (DST) format as a standard stimulus to list possible medications. METHODS: Participants were randomly assigned to groups and asked to decide which psychot...
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/PMC10194257/ https://www.ncbi.nlm.nih.gov/pubmed/37214496 http://dx.doi.org/10.1016/j.pecinn.2022.100119 |
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author | Young, John Jimenez, Aileen Pruett, Madeline Hancock, Laken Schruff, McCall |
author_facet | Young, John Jimenez, Aileen Pruett, Madeline Hancock, Laken Schruff, McCall |
author_sort | Young, John |
collection | PubMed |
description | OBJECTIVE: To examine the impact of various presentations of pharmacogenomic testing results using a published, color-coded decision support tool (DST) format as a standard stimulus to list possible medications. METHODS: Participants were randomly assigned to groups and asked to decide which psychotropic medication they would prefer if depressed. Three of the groups varied the color-coded category of fluoxetine and received a statement indicating that this was the most prescribed drug for depression. A fourth control condition omitted base rate information. Participants also provided detail about their decision-making processes through a qualitative interview. RESULTS: Comparison of the first three groups indicated that significantly more participants selected medications from the highest category of likely effectiveness when fluoxetine appeared in this list. Comparison of the control group to its relevant analogue suggested no significant differences in selection strategy. Qualitative interview responses indicated participant comfort with genetic testing despite awareness of having very limited understanding of these techniques and their implications. CONCLUSIONS: Both DST color-coding and base rates were influential in driving drug selection decisions, despite most participants indicating they did not understand this information. INNOVATION: Efforts to standardize pharmacogenomic stimuli may lead to advances in methods of studying quantifiable healthcare decisions. Attention to the context for presenting test results may also be a useful source of understanding patient responses, particularly regarding complex tests that are likely to be interpreted heuristically. |
format | Online Article Text |
id | pubmed-10194257 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-101942572023-05-19 A randomized controlled trial of analogue pharmacogenomic testing feedback for psychotropic medications Young, John Jimenez, Aileen Pruett, Madeline Hancock, Laken Schruff, McCall PEC Innov Articles from Special issue on Communication in Genomic and Precision Medicine; Edited by Gemme Campbell-Salome OBJECTIVE: To examine the impact of various presentations of pharmacogenomic testing results using a published, color-coded decision support tool (DST) format as a standard stimulus to list possible medications. METHODS: Participants were randomly assigned to groups and asked to decide which psychotropic medication they would prefer if depressed. Three of the groups varied the color-coded category of fluoxetine and received a statement indicating that this was the most prescribed drug for depression. A fourth control condition omitted base rate information. Participants also provided detail about their decision-making processes through a qualitative interview. RESULTS: Comparison of the first three groups indicated that significantly more participants selected medications from the highest category of likely effectiveness when fluoxetine appeared in this list. Comparison of the control group to its relevant analogue suggested no significant differences in selection strategy. Qualitative interview responses indicated participant comfort with genetic testing despite awareness of having very limited understanding of these techniques and their implications. CONCLUSIONS: Both DST color-coding and base rates were influential in driving drug selection decisions, despite most participants indicating they did not understand this information. INNOVATION: Efforts to standardize pharmacogenomic stimuli may lead to advances in methods of studying quantifiable healthcare decisions. Attention to the context for presenting test results may also be a useful source of understanding patient responses, particularly regarding complex tests that are likely to be interpreted heuristically. Elsevier 2022-12-16 /pmc/articles/PMC10194257/ /pubmed/37214496 http://dx.doi.org/10.1016/j.pecinn.2022.100119 Text en © 2022 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Articles from Special issue on Communication in Genomic and Precision Medicine; Edited by Gemme Campbell-Salome Young, John Jimenez, Aileen Pruett, Madeline Hancock, Laken Schruff, McCall A randomized controlled trial of analogue pharmacogenomic testing feedback for psychotropic medications |
title | A randomized controlled trial of analogue pharmacogenomic testing feedback for psychotropic medications |
title_full | A randomized controlled trial of analogue pharmacogenomic testing feedback for psychotropic medications |
title_fullStr | A randomized controlled trial of analogue pharmacogenomic testing feedback for psychotropic medications |
title_full_unstemmed | A randomized controlled trial of analogue pharmacogenomic testing feedback for psychotropic medications |
title_short | A randomized controlled trial of analogue pharmacogenomic testing feedback for psychotropic medications |
title_sort | randomized controlled trial of analogue pharmacogenomic testing feedback for psychotropic medications |
topic | Articles from Special issue on Communication in Genomic and Precision Medicine; Edited by Gemme Campbell-Salome |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10194257/ https://www.ncbi.nlm.nih.gov/pubmed/37214496 http://dx.doi.org/10.1016/j.pecinn.2022.100119 |
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