Bola Grace, Lauren A Wise, Marzena Nieroda, Jennifer Egbunike, Nafisat O Usman
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引用次数: 0
Abstract
Bola Grace and colleagues argue that using digital health technologies ethically can increase the scope and scale of research and connect systems to improve women’s health Despite comprising over half the global population, women bear a disproportionate burden of adverse health outcomes with unique challenges.1 Historically, women were routinely excluded from clinical trials because of concerns about risks during pregnancy, fluctuating hormones, and a bias that viewed men’s bodies as the norm for medical research.2 Recently, there has been a gradual increase in the inclusion of women in clinical research; however, across a broader range of health conditions there is still room for improvement. Barriers faced by women in research participation include access, education, low incentives, digital literacy, transportation, time commitment, and research design.3 Addressing factors that influence inequities in women’s health requires innovation, not only in treatments and technologies but also in research designs and methodologies. Digital health technologies (DHTs) —defined as “systems that use computing platforms, connectivity, software, or sensors for health care and related uses”4—have facilitated the inclusion of diverse populations throughout the research lifecycle by improving accessibility, engagement, efficiency, and personalisation of interventions. In this article, part of a BMJ Collection on Women’s Health Innovation (www.bmj.com/collections/womens-health-innovation), we describe how DHTs, together with inclusive designs across the research lifecycle, can transform research from an extractive to a participatory process driving inclusion in scope, scale, and systems for improving women’s health. Social determinants of health refer to “the conditions in which people are born, grow, live, work and age, and people’s access to power, money and resources.”5 Historically, the approaches used in health research have often failed women through exclusion largely based on social determinants of health. Moving beyond these historical limitations requires a deliberate effort to adopt and integrate innovative approaches …
Bola Grace及其同事认为,在道德上使用数字卫生技术可以扩大研究的范围和规模,并将改善妇女健康的系统联系起来,尽管占全球人口的一半以上,但妇女承担着不成比例的不良健康结果负担,面临着独特的挑战从历史上看,女性通常被排除在临床试验之外,因为担心怀孕期间的风险、激素波动,以及将男性身体视为医学研究标准的偏见最近,在临床研究中纳入妇女的情况逐渐增加;然而,在更广泛的卫生条件范围内,仍有改进的余地。女性在参与研究方面面临的障碍包括获取、教育、低激励、数字素养、交通、时间投入和研究设计解决影响妇女健康不平等的因素需要创新,不仅在治疗和技术方面,而且在研究设计和方法方面。数字卫生技术(dht)——定义为“使用计算平台、连接、软件或传感器用于卫生保健和相关用途的系统”——通过提高干预措施的可及性、参与度、效率和个性化,促进了在整个研究生命周期中纳入不同人群。在这篇文章中,作为BMJ妇女健康创新系列(www.bmj.com/collections/womens-health-innovation)的一部分,我们描述了dht如何与整个研究生命周期的包容性设计一起,将研究从抽取性转变为参与性过程,推动范围、规模和系统的包容性,以改善妇女健康。健康的社会决定因素是指“人们出生、成长、生活、工作和衰老的条件,以及人们获得权力、金钱和资源的机会”。“5从历史上看,卫生研究中使用的方法往往因为主要基于健康的社会决定因素而排斥妇女而使妇女失败。要超越这些历史局限,需要深思熟虑地采取和整合创新方法。