行为干预技术促进美国社会边缘人群医疗保健利用的综合概念框架。

Journal of nursing studies and patient care Pub Date : 2022-01-01 Epub Date: 2022-05-06
Chen Zhang, Shelby Przybylek, Amy Braksmajer, Yu Liu
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引用次数: 0

摘要

在美国,社会边缘群体不成比例地承担着健康结果的负担。行为干预技术的不断发展为支持用户改变行为和改善健康提供了机会。没有概念模型来指导数字化新时代弱势群体基于技术的行为干预。我们的概念框架结合了弱势群体医疗保健利用行为模型(HCU)和行为预测综合模型(IMBP)。在社会生态模型的垂直方向上,总体HCU-IBMP模型被行为干预技术-技术实例化框架(BIT-Tech)所整合。HCU模型解释了弱势群体如何通过个人和环境因素影响医疗保健获取和利用行为。通过IMBP的视角,医疗保健利用意愿具有高度可预测性,甚至可能与相应的行为存在因果关系。为了帮助医疗保健利用意图转化为相应的行为,我们在系统中使用了一种使用技术实现的媒介,可以帮助最终用户采用所需的行为。通过将技术框架与行为组件相结合的集成模型,BIT-Tech指导程序干预开发。我们的综合概念框架表明,在技术工具开发过程中,应该考虑理论和技术组成部分,以支持研究界。一个现实世界的干预设计已经被证明使用框架来指导行为干预技术,以促进美国少数种族/少数民族妇女的PrEP护理和利用
本文章由计算机程序翻译,如有差异,请以英文原文为准。

An Integrated Conceptual Framework of Behavioral Intervention Technologies to Promote Healthcare Utilization Among Socially-Marginalized Populations in the United States.

An Integrated Conceptual Framework of Behavioral Intervention Technologies to Promote Healthcare Utilization Among Socially-Marginalized Populations in the United States.

An Integrated Conceptual Framework of Behavioral Intervention Technologies to Promote Healthcare Utilization Among Socially-Marginalized Populations in the United States.

In the U.S., socially marginalized groups disproportionately shoulder the burden of health outcomes. The evolving development of behavioral intervention technologies provides opportunities to support users in changing behaviors and improving health. No conceptual model is available to guide technology-based behavioral interventions among vulnerable groups in the new era of digitalization. Our conceptual framework combines the Behavioral Model of Healthcare Utilization (HCU) for Vulnerable Populations and the Integrated Model of Behavioral Prediction (IMBP). With the Socioecological Model leading the vertical direction, the overarching HCU-IBMP model is incorporated by the Behavioral Intervention Technology-Technological Instantiation Framework (BIT-Tech). The HCU model explains how vulnerable populations influence healthcare access and utilization behaviors by personal and contextual factors. Through the lens of the IMBP, healthcare utilization intention is highly predictable and maybe even causally correlated with the corresponding behavior. To assist the healthcare utilization intention translates into the corresponding behaviors, we employ a medium using the technological implementation in a system that can assist the end-users in adopting the desired behavior. With the integrated model that combines a technological framework with the behavioral components, the BIT-Tech guides the procedure intervention development. Our integrated conceptual framework indicated that theoretical and technical components should be considered during a technological tool development to support the research community. A real-world intervention design has been demonstrated using the framework to guide behavioral intervention technologies to promote PrEP care and utilization among racial/ethnic minority women in the U.S.

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