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Automated Text Messaging During COVID-19: Patient Feedback to Increase Adoption

Automated text messaging interventions can effectively improve self-care and were used to support the U.S. Veterans Health Administration’s (VHA) public health outreach during the COVID pandemic. Currently, significant gaps exist in knowledge about VHA patients’ texting protocol preferences that may...

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Detalles Bibliográficos
Autores principales: Whealin, Julia M., Saleem, Jason J., Armstrong, Christina M., Roth, Jennifer, Herout, Jennifer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9946868/
https://www.ncbi.nlm.nih.gov/pubmed/36852102
http://dx.doi.org/10.1007/s41347-023-00305-6
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author Whealin, Julia M.
Saleem, Jason J.
Armstrong, Christina M.
Roth, Jennifer
Herout, Jennifer
author_facet Whealin, Julia M.
Saleem, Jason J.
Armstrong, Christina M.
Roth, Jennifer
Herout, Jennifer
author_sort Whealin, Julia M.
collection PubMed
description Automated text messaging interventions can effectively improve self-care and were used to support the U.S. Veterans Health Administration’s (VHA) public health outreach during the COVID pandemic. Currently, significant gaps exist in knowledge about VHA patients’ texting protocol preferences that may impact user receptivity, engagement, and effectiveness. This study qualitatively evaluated patient suggestions to improve two VHA Covid-related texting interventions and preferences for future text message protocols. We reviewed cross-sectional type-written survey responses from patients receiving either the “Coronavirus Precautions” or the “Coping During COVID” multi-week text protocols. Two team members independently and inductively coded all responses allowing for an upward abstraction of qualitative data. Nine hundred five patients (72.8% male) responded to the open-response item questions targeted by this research. An item that sought feedback to improve protocol acceptability generated thirteen distinct descriptive categories (inter-rater reliability 83.5%). Codable feedback showed, for example, that patients desired to manipulate message frequency and to have a more sophisticated interaction with messages. Patients’ suggestions for future automated text messaging protocols yielded nine distinct topic areas. Patients offered suggestions that may impact receptivity and engagement of future automated text message protocols, particularly as they relate to outreach during a public health crisis. In addition, patients offered specific topics they would like to see in future text message protocols. We discuss how the findings can be used to increase engagement in current and post-pandemic public health interventions.
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spelling pubmed-99468682023-02-23 Automated Text Messaging During COVID-19: Patient Feedback to Increase Adoption Whealin, Julia M. Saleem, Jason J. Armstrong, Christina M. Roth, Jennifer Herout, Jennifer J Technol Behav Sci Article Automated text messaging interventions can effectively improve self-care and were used to support the U.S. Veterans Health Administration’s (VHA) public health outreach during the COVID pandemic. Currently, significant gaps exist in knowledge about VHA patients’ texting protocol preferences that may impact user receptivity, engagement, and effectiveness. This study qualitatively evaluated patient suggestions to improve two VHA Covid-related texting interventions and preferences for future text message protocols. We reviewed cross-sectional type-written survey responses from patients receiving either the “Coronavirus Precautions” or the “Coping During COVID” multi-week text protocols. Two team members independently and inductively coded all responses allowing for an upward abstraction of qualitative data. Nine hundred five patients (72.8% male) responded to the open-response item questions targeted by this research. An item that sought feedback to improve protocol acceptability generated thirteen distinct descriptive categories (inter-rater reliability 83.5%). Codable feedback showed, for example, that patients desired to manipulate message frequency and to have a more sophisticated interaction with messages. Patients’ suggestions for future automated text messaging protocols yielded nine distinct topic areas. Patients offered suggestions that may impact receptivity and engagement of future automated text message protocols, particularly as they relate to outreach during a public health crisis. In addition, patients offered specific topics they would like to see in future text message protocols. We discuss how the findings can be used to increase engagement in current and post-pandemic public health interventions. Springer International Publishing 2023-02-23 /pmc/articles/PMC9946868/ /pubmed/36852102 http://dx.doi.org/10.1007/s41347-023-00305-6 Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2023 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Whealin, Julia M.
Saleem, Jason J.
Armstrong, Christina M.
Roth, Jennifer
Herout, Jennifer
Automated Text Messaging During COVID-19: Patient Feedback to Increase Adoption
title Automated Text Messaging During COVID-19: Patient Feedback to Increase Adoption
title_full Automated Text Messaging During COVID-19: Patient Feedback to Increase Adoption
title_fullStr Automated Text Messaging During COVID-19: Patient Feedback to Increase Adoption
title_full_unstemmed Automated Text Messaging During COVID-19: Patient Feedback to Increase Adoption
title_short Automated Text Messaging During COVID-19: Patient Feedback to Increase Adoption
title_sort automated text messaging during covid-19: patient feedback to increase adoption
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9946868/
https://www.ncbi.nlm.nih.gov/pubmed/36852102
http://dx.doi.org/10.1007/s41347-023-00305-6
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