COVID-19 and Inequality: An analysis of inequity of access to remote NHS healthcare

**www.healthwavehub.com**我们设计公共服务的方式总是在变化。在确保人们能够公平地获得重要援助和高质量支持方面，技术日益发挥核心作用。我们都希望能够提供和获得响应性强、量身定制的公共服务，但解决方案有时看起来很复杂，难以付诸行动。我们在Healthwave的使命是在特定的、超本地的层面上与社区接触。我们将摩擦和促成变革的因素暴露出来，使社区能够了解服务的设计和交付方式。**Healthwave Limited -我们做什么**我们是一个现代化的研究团队，为医疗机构的商业用途收集独立的见解，以帮助塑造医疗保健的交付方式。我们独特的解决方案收集了一线人员和社区内更有能力评估影响和影响变化的人员的见解。主题和干预措施通过我们面向客户的中心可视化，近乎实时地显示结果和机会，以推动快速学习和决策。** 2019冠状病毒病期间的工作**受疫情影响，通过快速实施数字化和远程服务提供方式，医疗保健服务发生了变化。很少有人关注这种变化如何影响被新的数字化转变隔离的患者。有关数字排斥的文献表明，年龄、教育程度和残疾这三个指标一直是互联网接入和使用的有力预测指标（Helsper & Reisdorf, 2017）。然而，这些研究并没有在全英国范围内改变如何提供护理的背景下进行。本研究通过深入了解2019冠状病毒病在获取和使用数字和远程交付方法方面的摩擦，有助于填补这一空白。某些人群在获得医疗服务方面存在很大的不平等可能性，这显然有可能对发病率和死亡率产生不利影响。现在需要通过快速、广泛和创新的数据捕获方法来紧急识别这些患者群体，以协助NHS决策者填补这一缺口。这符合NHS的战略重点。我们的工作将帮助政策制定者和高级临床工作人员了解这群患者，并将所有相关数据汇总为仪表板格式。这项研究将有助于优化已经采用的技术，而不是提出替代方案。从而支持快速调试和决策过程目前正在进行的NHS。

**www.healthwavehub.com**The way we design public services is always changing. Technology increasingly plays a central role in ensuring that people can access vital assistance and high quality support equitably. We all want to be able to deliver and access responsive and tailored public services - but solutions can sometimes appear complex and difficult to put into action. Our mission at Healthwave is to engage with communities at specific, hyper-local levels. We surface the frictions and enablers to change, empowering communities to inform the way services are designed and delivered.**Healthwave Limited - what we do**We're a modern research team gathering independent insights for commercial use by healthcare organisations to help shape the way healthcare is delivered. Our unique solution gathers insights from those on the frontline and within our communities who are better placed to evaluate impact and influence change. Themes and interventions are visualised through our client-facing hub showing results and opportunities in near real time to drive rapid learning and decision making.**Our Work during COVID-19**Healthcare provision has changed through the rapid implementation of digital and remote methods of service delivery due to COVID-19\. There has been little focus on how this change has impacted patients isolated by the new digital shift. The literature on digital exclusion shows three indicators as consistently strong predictors of internet access and use: age, education, and disability (Helsper & Reisdorf, 2017). However, these studies were not conducted within the context of a UK-wide change in how care is delivered. This study helps fill this gap by providing insights into the frictions to accessing and engaging with digital and remote delivery methods due to COVID-19\.There exists a great potential for inequity of access for certain groups of people with a clear risk of adverse impact on levels of morbidity and mortality. The urgent identification of these patient groups via rapid, widespread, and innovative data capture methods to assist NHS decision makers is now required to plug this gap in provision. This fits with NHS strategic priorities.Our work will help policy-makers and senior clinical staff understand this cohort of patients drawing together all relevant data into a dashboard format. This study will help optimise the technology that has already been adopted, rather than proposing alternatives. Thereby supporting rapid commissioning and decision making processes currently underway in the NHS.