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首页> 外文期刊>JMIR formative research. >Early-Stage Feasibility of a Mobile Health Intervention (Copilot) to Enhance Exacerbation-Related Self-Management in Patients With Chronic Obstructive Pulmonary Disease: Multimethods Approach
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Early-Stage Feasibility of a Mobile Health Intervention (Copilot) to Enhance Exacerbation-Related Self-Management in Patients With Chronic Obstructive Pulmonary Disease: Multimethods Approach

机译：移动健康干预的早期可行性（Copilot），以提高慢性阻塞性肺病患者的加剧相关的自我管理：多立体方法方法

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Background: There is an emergence of mobile health (mHealth) interventions to support self-management in patients with chronic obstructive pulmonary disease (COPD). Recently, an evidence-driven mHealth intervention has been developed to support patients with COPD in exacerbation-related self-management: the Copilot app. Health care providers (HCPs) are important stakeholders as they are the ones who have to provide the app to patients, personalize the app, and review the app. It is, therefore, important to investigate at an early stage whether the app is feasible in the daily practice of the HCPs. Objective: The aim of this study is to evaluate the perceived feasibility of the Copilot app in the daily practice of HCPs. Methods: A multimethods design was used to investigate how HCPs experience working with the app and how they perceive the feasibility of the app in their daily practice. The feasibility areas described by Bowen et al were used for guidance. HCPs were observed while performing tasks in the app and asked to think aloud . The System Usability Scale was used to investigate the usability of the app, and semistructured interviews were conducted to explore the feasibility of the app. The study was conducted in primary, secondary, and tertiary care settings in the Netherlands from February 2019 to September 2019. Results: In total, 14 HCPs participated in this study—8 nurses, 5 physicians, and 1 physician assistant. The HCPs found the app acceptable to use. The expected key benefits of the app were an increased insight into patient symptoms, more structured patient conversations, and more tailored self-management support. The app especially fits within the available time and workflow of nurses. The use of the app will be influenced by the autonomy of the professional, the focus of the organization on eHealth, costs associated with the app, and compatibility with the current systems used. Most HCPs expressed that there are conditions that must be met to be able to use the app. The app can be integrated into the existing care paths of primary, secondary, and tertiary health care settings. Individual organizational factors must be taken into account when integrating the app into daily practice. Conclusions: This early-stage feasibility study shows that the Copilot app is feasible to use in the daily practice of HCPs and can be integrated into primary, secondary, and tertiary health care settings in the Netherlands. The app was considered to best fit the role of the nurses. The app will be less feasible for those organizations in which many conditions need to be met to use the app. This study provides a new approach to evaluate the perceived feasibility of mHealth interventions at an early stage and provides valuable insights for further feasibility testing.
机译：背景：在慢性阻塞性肺病（COPD）患者中，存在移动健康（MHECHEATH）干预的出现，以支持自我管理（COPD）。最近，已经制定了一份证据驱动的MHEATH干预，以支持COPD在加剧相关的自我管理中的患者：COPILOT APP。保健提供者（HCP）是重要的利益相关者，因为它们是必须向患者提供应用程序，个性化应用程序的应用程序，并审查该应用程序。因此，重要的是在早期调查该应用在HCP的日常实践中是可行的。目的：本研究的目的是评估Copilot应用程序在HCP的日常做法中的感知可行性。方法：MultiMethods设计用于调查HCPS经验如何与应用程序合作以及他们如何在日常实践中察觉应用程序的可行性。 Bowen等人描述的可行性区域用于指导。在应用程序中执行任务并要求大声思考，观察HCP。系统可用规模用于调查应用程序的可用性，并进行了半系统的访谈，以探讨应用程序的可行性。该研究于2019年2月至2019年2月在荷兰的一级，中学和三级护理环境中进行。结果：总共有14个HCP参加本研究 - 8名护士，5名医生和1名医生助理。 HCPS发现应用程序可接受使用。该应用程序的预期重点效益是对患者症状的洞察力增加，更具结构化的患者对话，以及更量身定制的自我管理支持。该应用程序特别适合护士的可用时间和工作流程。应用程序的使用将受专业自主权的影响，eHealth组织的重点，与应用程序相关的成本以及与所使用的当前系统的兼容性。大多数HCP表示必须满足的条件能够使用该应用程序。该应用程序可以集成到主要，次要和三级医疗保健设置的现有护理路径中。将应用程序整合到日常练习时，必须考虑个人组织因素。结论：这种早期可行性研究表明，Copilot应用在HCP的日常实践中可以使用，并且可以融入荷兰的主要，中学和三级医疗保健环境中。该应用程序被认为是最适合护士的作用。该应用程序对于这些组织来说将不那么可行，其中需要满足许多条件以使用该应用程序。本研究提供了一种新的方法来评估早期阶段的MHEALTH干预的感知可行性，并为进一步的可行性测试提供有价值的见解。

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