COVID-19 期间的自动短信:患者反馈以提高采用率。

Julia M Whealin, Jason J Saleem, Christina M Armstrong, Jennifer Roth, Jennifer Herout
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引用次数: 0

摘要

自动短信干预可以有效改善自我保健,并在 COVID 大流行期间用于支持美国退伍军人卫生管理局 (VHA) 的公共卫生推广活动。目前,有关退伍军人健康管理局患者短信协议偏好的知识还存在很大差距,这可能会影响用户的接受度、参与度和有效性。本研究从定性角度评估了患者对改进两项 VHA Covid 相关短信干预措施的建议以及对未来短信协议的偏好。我们审查了接收 "冠状病毒预防措施 "或 "COVID 期间的应对 "多周短信协议的患者的横截面打字调查回复。两名小组成员对所有回复进行了独立的归纳编码,以便对定性数据进行向上抽象。95 名患者(72.8% 为男性)回答了本研究针对的开放式回答项目问题。一个寻求反馈以提高方案可接受性的项目产生了 13 个不同的描述性类别(评分者之间的可靠性为 83.5%)。可编码的反馈意见显示,例如,患者希望控制信息频率并与信息进行更复杂的互动。患者对未来自动短信协议的建议产生了九个不同的主题领域。患者提出的建议可能会影响未来自动短信协议的接受度和参与度,尤其是与公共卫生危机期间的宣传相关的建议。此外,患者还提出了他们希望在未来短信协议中看到的特定主题。我们将讨论如何利用这些发现来提高当前和大流行后公共卫生干预的参与度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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 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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