当前位置: X-MOL 学术BMC Nurs. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Study protocol for the implementation and evaluation of a digital-robotic-based intervention for nurses and patients in a hospital: a quantitative and qualitative triangulation based on the Medical Research Council (MRC) framework for developing and evaluating complex interventions
BMC Nursing ( IF 3.2 ) Pub Date : 2022-12-09 , DOI: 10.1186/s12912-022-01088-6
Christoph Ohneberg 1 , Angelika Warmbein 2 , Nicole Stöbich 1 , Ivanka Rathgeber 2 , Astrid Kruppa 3 , Julian Nast-Kolb 3 , Mattias Felix Träger 4 , Aissam Bahou 4 , Oliver Stahl 4 , Inge Eberl 1 , Uli Fischer 2
Affiliation  

Nurses spend part of their working time on non-nursing tasks. Unnecessary walking distances and the assumption of service activities and other non-care-related tasks take up a lot of space, which reduces the time for direct patient care and demonstrably increases the dissatisfaction of the persons involved. The REsPonSe project aims to relieve nursing staff by using a smartphone app for communication in combination with an autonomous service robot to reduce walking distances and service activities. The technical systems are tested on a nuclear medicine ward and are intended to reduce the radiation exposure of the staff. The aim of this study is to test and evaluate the use and intervention of the technical systems, the acceptance of the users and the change in the utilisation of the nursing service. In addition to findings on usability and manageability, effects on nursing practice, as well as facilitating and inhibiting contextual factors for implementation, will be identified. The Medical Research Council (MRC) Framework for Developing and Evaluating for Complex Interventions was chosen as the theoretical basis. The data collection in the Feasibility and Evaluation phase is a triangulation of quantitative and qualitative methods. Standardised observations are planned to collect data on non-care activities and walking distances, and a survey of utilisation by use of a questionnaire based on the NASA TLX. Qualitative individual interviews with patients and group discussions with nursing staff will be conducted. Statements on the subjective experiences, as well as the evaluation of the use of the digital-robotic system in the clinical setting, will be collected. The descriptive evaluation of the usage and retrieval data will provide information on duration, time, requests, and reduced contact times, as well as error and fault messages. The evaluation study will make it possible to represent a variety of perspectives from different interest groups. The results should contribute to the definition of implementation and evaluation criteria and facilitate the integration of digital-robotic assistance systems in nursing acute inpatient settings. The trial was registered with the German Clinical Trials Register (DRKS) on 16.02.2022: DRKS00028127.

中文翻译:

医院护士和患者基于数字机器人的干预措施的实施和评估研究方案:基于医学研究委员会 (MRC) 框架的定量和定性三角测量,用于开发和评估复杂的干预措施

护士将部分工作时间花在非护理任务上。不必要的步行距离和服务活动的承担以及其他与护理无关的任务占用了大量空间,这减少了直接患者护理的时间,并明显增加了相关人员的不满。ResPonSe 项目旨在通过使用智能手机应用程序与自主服务机器人进行通信来减轻护理人员的负担,以减少步行距离和服务活动。技术系统在核医学病房进行测试,旨在减少工作人员的辐射暴露。本研究的目的是测试和评估技术系统的使用和干预、用户的接受度以及护理服务利用的变化。除了关于可用性和可管理性的调查结果外,还将确定对护理实践的影响,以及促进和抑制实施的背景因素。选择医学研究委员会 (MRC) 开发和评估复杂干预措施的框架作为理论基础。可行性和评估阶段的数据收集是定量和定性方法的三角测量。计划进行标准化观察,以收集有关非护理活动和步行距离的数据,并使用基于 NASA TLX 的问卷调查使用情况。将对患者进行定性个人访谈,并与护理人员进行小组讨论。关于主观体验的陈述,以及在临床环境中使用数字机器人系统的评估,将被收集。使用和检索数据的描述性评估将提供有关持续时间、时间、请求和减少的联系时间的信息,以及错误和故障消息。评估研究将能够代表不同利益群体的各种观点。结果应有助于定义实施和评估标准,并促进数字机器人辅助系统在护理急性住院环境中的整合。该试验于 2022 年 2 月 16 日在德国临床试验注册中心 (DRKS) 注册:DRKS00028127。评估研究将能够代表不同利益群体的各种观点。结果应有助于定义实施和评估标准,并促进数字机器人辅助系统在护理急性住院环境中的整合。该试验于 2022 年 2 月 16 日在德国临床试验注册中心 (DRKS) 注册:DRKS00028127。评估研究将能够代表不同利益群体的各种观点。结果应有助于定义实施和评估标准,并促进数字机器人辅助系统在护理急性住院环境中的整合。该试验于 2022 年 2 月 16 日在德国临床试验注册中心 (DRKS) 注册:DRKS00028127。
更新日期:2022-12-09
down
wechat
bug