背景:在全球范围内,心力衰竭(HF)影响超过6400万人,减轻其社会和经济负担的努力是公共卫生的优先事项。支持HF患者自我管理的干预措施已被证明可以减少住院,提高生活质量,降低死亡率。了解人们如何自我管理对于改善未来的干预措施至关重要;然而,迄今为止的大多数方法,使用自我报告方法来实现这一目标。可穿戴相机提供了一种独特的工具,可以了解HF患者的生活经历以及他们从事的日常活动,这可能导致更有效的干预措施。然而,他们了解HF等慢性疾病的潜力尚不清楚.
目的:本研究旨在确定可穿戴摄像机的潜在用途,以更好地了解HF患者日常生活的活动。
方法:“眼见为实(SIB)”研究涉及30名HF患者,他们佩戴可穿戴相机最长30天。我们使用基于Web的E-MyscéalLifelog检索系统来处理和分析可穿戴相机图像数据集。搜索7项日常活动的术语(身体活动,园艺,购物,屏幕时间,饮酒,吃,和药物摄入量)被开发并用于图像检索。进行敏感性分析以比较使用不同搜索词检索的图像的数量。检查了日常活动中的时间模式,并评估住院前后的差异。
结果:E-Myscéal表现出对特定搜索词的敏感性,导致为每个活动检索的图像数量显着变化。返回的图像数量最多的是与饮食有关,更少的身体活动图像,屏幕时间,和服药。大多数捕获的活动发生在中午之前。值得注意的是,在本研究期间,观察到住院参与者的日常活动模式存在时间差异.出院后用药图像数量增加,而屏幕时间图像减少。
结论:可穿戴摄像机为HF患者的日常活动和自我管理提供了宝贵的见解。E-Myscéal有效地检索相关图像,但是搜索词的敏感性强调了仔细选择的必要性。
BACKGROUND: Globally, heart failure (HF) affects more than 64 million people, and attempts to reduce its social and economic burden are a public health priority. Interventions to support people with HF to self-manage have been shown to reduce hospitalizations, improve quality of life, and reduce mortality rates. Understanding how people self-manage is imperative to improve future interventions; however, most approaches to date, have used self-report methods to achieve this. Wearable cameras provide a unique tool to understand the lived experiences of people with HF and the daily activities they undertake, which could lead to more effective interventions. However, their potential for understanding chronic conditions such as HF is unclear.
OBJECTIVE: This study aimed to determine the potential utility of wearable cameras to better understand the activities of daily living in people living with HF.
METHODS: The \"Seeing is Believing (SIB)\" study involved 30 patients with HF who wore wearable cameras for a maximum of 30 days. We used the E-Myscéal web-based lifelog retrieval system to process and analyze the wearable camera image data set. Search terms for 7 daily activities (physical activity, gardening, shopping, screen time, drinking, eating, and medication intake) were developed and used for image retrieval. Sensitivity analysis was conducted to compare the number of images retrieved using different search terms. Temporal patterns in daily activities were examined, and differences before and after hospitalization were assessed.
RESULTS: E-Myscéal exhibited sensitivity to specific search terms, leading to significant variations in the number of images retrieved for each activity. The highest number of images returned were related to eating and drinking, with fewer images for physical activity, screen time, and taking medication. The majority of captured activities occurred before midday. Notably, temporal differences in daily activity patterns were observed for participants hospitalized during this study. The number of medication images increased after hospital discharge, while screen time images decreased.
CONCLUSIONS: Wearable cameras offer valuable insights into daily activities and self-management in people living with HF. E-Myscéal efficiently retrieves relevant images, but search term sensitivity underscores the need for careful selection.