“珠光宝气”时代的老式技术:短信在医疗保健领域有未来吗?卡塔尔世界杯8强波胆分析%A wilcox,Jane C %A Dobson,Rosie %A Whittaker,Robyn %+联合健康，人类服务和体育学院，拉特罗布大学，Plenty Rd, Bundoora, 3083，澳大利亚，61 94791520,j.willcox@latrobe.edu.au %K短信%K移动健康%K行为改变%K数字健康%D 2019 %7 20.12.2019 %9 Viewpoint %J J Med Internet Res %G English %X在探索发现下一个高科技解决方案来解决许多健康问题的过程中，成熟的技术经常被忽视，而更青睐于“技术先进”的系统，这些系统还没有被充分探索其支持行为改变理论的适用性，或者被消费者使用。短信(SMS)是消费者仍在使用的一种成熟技术，但作为移动医疗(mHealth)工具箱的一部分，它往往被忽视。本文的目的是描述短信作为一种健康促进方式的好处，并倡导更广泛地实施有效的短信计划。短信以无处不在的实时交流方式传递给消费者，这与应用程序和可穿戴设备所需的多步骤主动参与形成了鲜明对比。它仍然是最广泛采用和最便宜的手机功能。作为一种干预方式，短信给研究人员提供了大量关于量身定制的互动健康交流的经验教训;覆盖面和参与度，特别是在资源匮乏的环境中;将行为改变模型嵌入到数字健康中。 It supports behavior change techniques such as reinforcement, prompts and cues, goal setting, feedback on performance, support, and progress review. Consumers have provided feedback to indicate that text messages can provide them with useful information, increase perceived support, enhance motivation for healthy behavior change, and provide prompts to engage in health behaviors. Significant evidence supports the effectiveness of text messages alone as part of an mHealth toolbox or in combination with health services, to support healthy behavior change. Systematic reviews have consistently reported positive effects of text message interventions for health behavior change and disease management including smoking cessation, medication adherence, and self-management of long-term conditions and health, including diabetes and weight loss. However, few text message interventions are implemented on a large scale. There is still much to be learned from investing in text messaging delivered research. When a modality is known to be effective, we should be learning from large-scale implementation. Many other technologies currently suffer from poor long-term engagement, the digital divide within society, and low health and technology literacy of users. Investing in and incorporating the learnings and lessons from large-scale text message interventions will strengthen our way forward in the quest for the ultimate digitally delivered behavior change model. %M 31859678 %R 10.2196/16630 %U //www.mybigtv.com/2019/12/e16630/ %U https://doi.org/10.2196/16630 %U http://www.ncbi.nlm.nih.gov/pubmed/31859678