ArticleJournal of technology in behavioral science2023
Automated Text Messaging During COVID-19: Patient Feedback to Increase Adoption.
Article in Journal of technology in behavioral science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
5 authors.
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Abstract
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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