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Information needs and perceptions of chatbots for hypertension medication self-management: a mixed methods study

OBJECTIVE: Chatbots have potential to deliver interactive self-management interventions but have rarely been studied in the context of hypertension or medication adherence. The objective of this study was to better understand patient information needs and perceptions of chatbots to support hypertens...

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Autores principales: Griffin, Ashley C, Xing, Zhaopeng, Mikles, Sean P, Bailey, Stacy, Khairat, Saif, Arguello, Jaime, Wang, Yue, Chung, Arlene E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8054030/
https://www.ncbi.nlm.nih.gov/pubmed/33898936
http://dx.doi.org/10.1093/jamiaopen/ooab021
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author Griffin, Ashley C
Xing, Zhaopeng
Mikles, Sean P
Bailey, Stacy
Khairat, Saif
Arguello, Jaime
Wang, Yue
Chung, Arlene E
author_facet Griffin, Ashley C
Xing, Zhaopeng
Mikles, Sean P
Bailey, Stacy
Khairat, Saif
Arguello, Jaime
Wang, Yue
Chung, Arlene E
author_sort Griffin, Ashley C
collection PubMed
description OBJECTIVE: Chatbots have potential to deliver interactive self-management interventions but have rarely been studied in the context of hypertension or medication adherence. The objective of this study was to better understand patient information needs and perceptions of chatbots to support hypertension medication self-management. MATERIALS AND METHODS: Mixed methods were used to assess self-management needs and preferences for using chatbots. We purposively sampled adults with hypertension who were prescribed at least one medication. Participants completed questionnaires on sociodemographics, health literacy, self-efficacy, and technology use. Semi-structured interviews were conducted, audio-recorded, and transcribed verbatim. Quantitative data were analyzed using descriptive statistics, and qualitative data were analyzed using applied thematic analysis. RESULTS: Thematic saturation was met after interviewing 15 participants. Analysis revealed curiosity toward chatbots, and most perceived them as humanlike. The majority were interested in using a chatbot to help manage medications, refills, communicate with care teams, and for accountability toward self-care tasks. Despite general enthusiasm, there were concerns with chatbots providing too much information, making demands for lifestyle changes, invading privacy, and usability issues with deployment on smartphones. Those with overall positive perceptions toward chatbots were younger and taking fewer medications. DISCUSSION: Chatbot-related informational needs were consistent with existing self-management research, and many felt chatbots would be valuable if customizable and compatible with patient portals, pharmacies, or health apps. CONCLUSION: Although most were not familiar with chatbots, patients were interested in interacting with them, but this varied. This research informs future design and functionalities of conversational interfaces to support hypertension self-management.
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spelling pubmed-80540302021-04-22 Information needs and perceptions of chatbots for hypertension medication self-management: a mixed methods study Griffin, Ashley C Xing, Zhaopeng Mikles, Sean P Bailey, Stacy Khairat, Saif Arguello, Jaime Wang, Yue Chung, Arlene E JAMIA Open Research and Applications OBJECTIVE: Chatbots have potential to deliver interactive self-management interventions but have rarely been studied in the context of hypertension or medication adherence. The objective of this study was to better understand patient information needs and perceptions of chatbots to support hypertension medication self-management. MATERIALS AND METHODS: Mixed methods were used to assess self-management needs and preferences for using chatbots. We purposively sampled adults with hypertension who were prescribed at least one medication. Participants completed questionnaires on sociodemographics, health literacy, self-efficacy, and technology use. Semi-structured interviews were conducted, audio-recorded, and transcribed verbatim. Quantitative data were analyzed using descriptive statistics, and qualitative data were analyzed using applied thematic analysis. RESULTS: Thematic saturation was met after interviewing 15 participants. Analysis revealed curiosity toward chatbots, and most perceived them as humanlike. The majority were interested in using a chatbot to help manage medications, refills, communicate with care teams, and for accountability toward self-care tasks. Despite general enthusiasm, there were concerns with chatbots providing too much information, making demands for lifestyle changes, invading privacy, and usability issues with deployment on smartphones. Those with overall positive perceptions toward chatbots were younger and taking fewer medications. DISCUSSION: Chatbot-related informational needs were consistent with existing self-management research, and many felt chatbots would be valuable if customizable and compatible with patient portals, pharmacies, or health apps. CONCLUSION: Although most were not familiar with chatbots, patients were interested in interacting with them, but this varied. This research informs future design and functionalities of conversational interfaces to support hypertension self-management. Oxford University Press 2021-04-19 /pmc/articles/PMC8054030/ /pubmed/33898936 http://dx.doi.org/10.1093/jamiaopen/ooab021 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of the American Medical Informatics Association. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Research and Applications
Griffin, Ashley C
Xing, Zhaopeng
Mikles, Sean P
Bailey, Stacy
Khairat, Saif
Arguello, Jaime
Wang, Yue
Chung, Arlene E
Information needs and perceptions of chatbots for hypertension medication self-management: a mixed methods study
title Information needs and perceptions of chatbots for hypertension medication self-management: a mixed methods study
title_full Information needs and perceptions of chatbots for hypertension medication self-management: a mixed methods study
title_fullStr Information needs and perceptions of chatbots for hypertension medication self-management: a mixed methods study
title_full_unstemmed Information needs and perceptions of chatbots for hypertension medication self-management: a mixed methods study
title_short Information needs and perceptions of chatbots for hypertension medication self-management: a mixed methods study
title_sort information needs and perceptions of chatbots for hypertension medication self-management: a mixed methods study
topic Research and Applications
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8054030/
https://www.ncbi.nlm.nih.gov/pubmed/33898936
http://dx.doi.org/10.1093/jamiaopen/ooab021
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