School of Health Sciences, University of Surrey, Guildford, Surrey, UK
College of Health and Rehabilitation Sciences, Princess Noura Bint Abdul Rahman University, Riyadh, Saudi Arabia.
BMJ Open. 2020 Oct 1;10(10):e038390. doi: 10.1136/bmjopen-2020-038390.
In order to avoid unnecessary hospital admission and associated complications, there is an urgent need to improve the early detection of infection in nursing home residents. Monitoring signs and symptoms with checklists or aids called decision support tools may help nursing home staff to detect infection in residents, particularly during the current COVID-19 pandemic.We plan to conduct a survey exploring views and experiences of how infections are detected and managed in practice by nurses, care workers and managers in nursing homes in England and Sweden.
An international cross-sectional descriptive survey, using a pretested questionnaire, will be used to explore nurses, care workers and managers views and experiences of how infections are detected and managed in practice in nursing homes. Data will be analysed descriptively and univariate associations between personal and organisational factors explored. This will help identify important factors related to awareness, knowledge, attitudes, belief and skills likely to affect future implementation of a decision support tool for the early detection of infection in nursing home residents.
This study was approved using the self-certification process at the University of Surrey and Linköping University ethics committee (Approval 2018/514-32) in 2018. Study findings will be disseminated through community/stakeholder/service user engagement events in each country, publication in academic peer-reviewed journals and conference presentations. A LAY summary will be provided to participants who indicate they would like to receive this information.This is the first stage of a plan of work to revise and evaluate the Early Detection of Infection Scale (EDIS) tool and its effect on managing infections and reducing unplanned hospital admissions in nursing home residents. Implementation of the EDIS tool may have important implications for the healthcare economy; this will be explored in cost-benefit analyses as the work progresses.
为避免不必要的住院治疗和相关并发症，迫切需要提高养老院居民感染的早期检测能力。使用清单或辅助工具（称为决策支持工具）监测体征和症状可能有助于养老院工作人员发现居民感染，尤其是在当前 COVID-19 大流行期间。我们计划进行一项调查，探讨英格兰和瑞典养老院护士、护理人员和管理人员如何在实践中发现和管理感染的观点和经验。
本研究采用国际横断面描述性调查，使用预先测试的问卷，探讨护士、护理人员和管理人员在实践中如何发现和管理养老院感染的观点和经验。将对数据进行描述性分析，并探讨个人和组织因素之间的单变量关联。这将有助于确定与意识、知识、态度、信念和技能相关的重要因素，这些因素可能会影响未来在养老院居民感染早期检测中使用决策支持工具。
本研究于 2018 年在萨里大学和林雪平大学伦理委员会（批准号 2018/514-32）的自我认证过程中获得批准。研究结果将通过在每个国家的社区/利益相关者/服务用户参与活动、在学术同行评议期刊上发表文章和会议演讲进行传播。将向表示希望收到此信息的参与者提供通俗易懂的摘要。这是修订和评估早期感染检测量表（EDIS）工具及其对管理感染和减少养老院居民非计划性住院的影响的工作计划的第一阶段。EDIS 工具的实施可能对医疗保健经济具有重要意义；随着工作的进展，将在成本效益分析中探讨这一问题。
