Department of Design, Organisation and Strategy, Faculty of Industrial Design Engineering, Delft University of Technology, Delft, Netherlands.
Department of Sustainable Design Engineering, Faculty of Industrial Design Engineering, Delft University of Technology, Delft, Netherlands.
J Med Internet Res. 2024 Apr 22;26:e48463. doi: 10.2196/48463.
Patient and staff experience is a vital factor to consider in the evaluation of remote patient monitoring (RPM) interventions. However, no comprehensive overview of available RPM patient and staff experience-measuring methods and tools exists.
This review aimed at obtaining a comprehensive set of experience constructs and corresponding measuring instruments used in contemporary RPM research and at proposing an initial set of guidelines for improving methodological standardization in this domain.
Full-text papers reporting on instances of patient or staff experience measuring in RPM interventions, written in English, and published after January 1, 2011, were considered for eligibility. By "RPM interventions," we referred to interventions including sensor-based patient monitoring used for clinical decision-making; papers reporting on other kinds of interventions were therefore excluded. Papers describing primary care interventions, involving participants under 18 years of age, or focusing on attitudes or technologies rather than specific interventions were also excluded. We searched 2 electronic databases, Medline (PubMed) and EMBASE, on February 12, 2021.We explored and structured the obtained corpus of data through correspondence analysis, a multivariate statistical technique.
In total, 158 papers were included, covering RPM interventions in a variety of domains. From these studies, we reported 546 experience-measuring instances in RPM, covering the use of 160 unique experience-measuring instruments to measure 120 unique experience constructs. We found that the research landscape has seen a sizeable growth in the past decade, that it is affected by a relative lack of focus on the experience of staff, and that the overall corpus of collected experience measures can be organized in 4 main categories (service system related, care related, usage and adherence related, and health outcome related). In the light of the collected findings, we provided a set of 6 actionable recommendations to RPM patient and staff experience evaluators, in terms of both what to measure and how to measure it. Overall, we suggested that RPM researchers and practitioners include experience measuring as part of integrated, interdisciplinary data strategies for continuous RPM evaluation.
At present, there is a lack of consensus and standardization in the methods used to measure patient and staff experience in RPM, leading to a critical knowledge gap in our understanding of the impact of RPM interventions. This review offers targeted support for RPM experience evaluators by providing a structured, comprehensive overview of contemporary patient and staff experience measures and a set of practical guidelines for improving research quality and standardization in this domain.
患者和员工体验是远程患者监测（RPM）干预措施评估中需要考虑的重要因素。然而，目前尚不存在全面概述现有 RPM 患者和员工体验测量方法和工具的内容。
本综述旨在获得一套全面的体验结构和用于当代 RPM 研究的相应测量工具，并提出改善该领域方法学标准化的初步准则。
我们考虑了符合以下条件的全文论文：以英文撰写、报告 RPM 干预措施中患者或员工体验测量实例、并于 2011 年 1 月 1 日之后发表。我们将“RPM 干预措施”定义为包括基于传感器的患者监测在内的用于临床决策的干预措施；因此，排除了报告其他类型干预措施的论文。我们还排除了描述初级保健干预措施、涉及 18 岁以下参与者或侧重于态度或技术而非具体干预措施的论文。我们于 2021 年 2 月 12 日在 2 个电子数据库（PubMed 中的 Medline 和 EMBASE）中进行了检索。我们通过对应分析（一种多变量统计技术）对获取的数据体进行了探索和结构化。
共有 158 篇论文被纳入，涵盖了各种领域的 RPM 干预措施。从这些研究中，我们报告了 RPM 中 546 个体验测量实例，涉及 160 个独特的体验测量工具，用于测量 120 个独特的体验结构。我们发现，在过去十年中，该研究领域的规模显著扩大，但相对缺乏对员工体验的关注，并且所收集的体验测量工具总体上可以分为 4 个主要类别（与服务系统相关、与护理相关、与使用和依从性相关、与健康结果相关）。根据收集到的发现，我们为 RPM 患者和员工体验评估人员提供了一组 6 条可操作的建议，内容涉及测量什么以及如何测量。总体而言，我们建议 RPM 研究人员和从业者将体验测量纳入 RPM 持续评估的综合、跨学科数据策略中。
目前，在 RPM 中测量患者和员工体验的方法缺乏共识和标准化，导致我们对 RPM 干预措施影响的理解存在严重的知识空白。本综述通过提供当代患者和员工体验测量工具的结构化、全面概述以及改善该领域研究质量和标准化的实用指南，为 RPM 体验评估人员提供了有针对性的支持。
