无症状慢性疾病的信息空白:一个理解年轻人社交媒体健康信息寻求的数字健康框架。

IF 2.3 Q1 HEALTH CARE SCIENCES & SERVICES
JMIR infodemiology Pub Date : 2026-04-07 DOI:10.2196/86489
Victoria Sze Min Ekstrom
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引用次数: 0

摘要

未标注:近四分之一的年轻人患有慢性疾病,但许多人尽管被诊断出患有慢性疾病,但仍感觉良好。前驱糖尿病和高血压等无症状疾病极易受到数字健康错误信息的影响,尤其是在内容不准确的平台上。传统的临床反应往往只是警告患者网上的错误信息,未能解决这种行为的潜在驱动因素。这一观点提出了一个新的基于疾病特征的脆弱性框架来理解这一挑战,该框架基于已建立的行为科学理论,如能力、机会和动机-行为模型;时间折现;信息流行病学中信息空洞的概念。我们确定了一个关键的“信息空白”,主要是通过生活方式的改变来管理无症状的条件。由于缺乏症状反馈和延迟的临床生物标志物反馈,造成了这种空白,迫使患者在网上寻求信息。我们不再将这种信息寻求视为一种有问题的偏差,而是将其重新定义为一种“数字表型”,表明患者准备好改变行为。通过案例研究说明该框架如何适用于特定情况(前驱糖尿病、非酒精性脂肪肝和未经治疗的高血压),我们展示了其对临床医生、卫生系统和政策制定者的实际效用。证据支持多管齐下的方法:将数字卫生素养纳入临床接触,提供精心策划的循证资源,并在数字空间中寻求战略性机构参与。虽然承认该框架有意简化,并且需要在不同的卫生保健环境中进行具有文化敏感性的调整,但这一观点提供了一种可推广的战略,以满足患者的信息需求,帮助将公共卫生挑战转化为增强权能的机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Information Void in Asymptomatic Chronic Disease: A Digital Health Framework for Understanding Social Media Health Information Seeking in Young Adults.

Unlabelled: Nearly 1 in 4 young adults has a chronic condition, yet many feel well despite their diagnosis. Asymptomatic conditions such as prediabetes and hypertension create a unique vulnerability to digital health misinformation, particularly on platforms where inaccurate content is prevalent. Conventional clinical responses, which often just warn patients about online misinformation, fail to address the underlying drivers of this behavior. This viewpoint proposes a novel disease characteristic-based vulnerability framework to understand this challenge, grounded in established behavioral science theories such as the capability, opportunity, and motivation-behavior model; temporal discounting; and the concept of information voids in infodemiology. We identify a critical "information void" for asymptomatic conditions managed primarily through lifestyle modification. This void, created by the absence of symptomatic feedback combined with delayed clinical biomarker feedback, compels patients to seek information online. Instead of viewing this information seeking as a problematic deviation, we reframe it as a "digital phenotype" indicating a patient's readiness for behavior change. Through case studies illustrating how this framework applies to specific conditions (prediabetes, nonalcoholic fatty liver disease, and untreated hypertension), we demonstrate its practical utility for clinicians, health systems, and policymakers. Evidence supports a multipronged approach: integrating digital health literacy into clinical encounters, providing curated evidence-based resources, and pursuing strategic institutional engagement in digital spaces. While acknowledging the framework's deliberate simplification and the need for culturally sensitive adaptation across diverse health care settings, this viewpoint offers a generalizable strategy for engaging with patients' information needs, helping transform a public health challenge into an opportunity for empowerment.

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CiteScore
4.80
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