Automated Messaging Delivered Alongside Behavioral Treatment for Weight Loss: Qualitative Study.
Automated Messaging Delivered Alongside Behavioral Treatment for Weight Loss: Qualitative Study.
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DOI：
10.2196/50872
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发表时间：
2023-11-06
影响因子：
2.2
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中科院分区：
文献类型：
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用于减肥的移动的健康干预经常使用自动消息传递。然而，这种干预方式似乎具有有限的减肥功效。此外，关于用户在接受自动化的基于消息的减肥干预时的主观体验的数据很少，特别是对于为用户提供个性化定制的数据知情反馈的更先进的消息传递系统。这项研究的目的是描述超重或肥胖者的经历，他们接受了6-12个月的自动消息，作为行为减肥试验的一部分。参与者（n=40）提供了消息传递的可接受性的Likert量表评级，并完成了结构化的定性访谈（n=39），重点是他们的经验与消息传递系统，并产生改进建议。访谈数据采用主题分析法进行分析。参与者发现这些信息对总结目标进展最有用，对建议新的行为策略最没用。总体消息可接受性为中等（2.67/5）。从采访中，出现了两个元主题。参与者表示，虽然这些信息提供了有关干预目标和技能的有用提醒，但它们并没有充分捕捉他们在减肥时的生活经历。许多参与者发现自动消息不足以适应他们的个人减肥经验。未来的研究应该探索信息定制的替代方法（例如，允许更高程度的参与者输入和互动），这可能会提高治疗参与度和疗效。ClinicalTrials.gov NCT05231824; https://clinicaltrials.gov/study/NCT05231824
Mobile health interventions for weight loss frequently use automated messaging. However, this intervention modality appears to have limited weight loss efficacy. Furthermore, data on users’ subjective experiences while receiving automated messaging–based interventions for weight loss are scarce, especially for more advanced messaging systems providing users with individually tailored, data-informed feedback. The purpose of this study was to characterize the experiences of individuals with overweight or obesity who received automated messages for 6-12 months as part of a behavioral weight loss trial. Participants (n=40) provided Likert-scale ratings of messaging acceptability and completed a structured qualitative interview (n=39) focused on their experiences with the messaging system and generating suggestions for improvement. Interview data were analyzed using thematic analysis. Participants found the messages most useful for summarizing goal progress and least useful for suggesting new behavioral strategies. Overall message acceptability was moderate (2.67 out of 5). From the interviews, 2 meta-themes emerged. Participants indicated that although the messages provided useful reminders of intervention goals and skills, they did not adequately capture their lived experiences while losing weight. Many participants found the automated messages insufficiently tailored to their personal weight loss experiences. Future studies should explore alternative methods for message tailoring (eg, allowing for a higher degree of participant input and interactivity) that may boost treatment engagement and efficacy. ClinicalTrials.gov NCT05231824; https://clinicaltrials.gov/study/NCT05231824