A service-user digital intervention to collect real-time safety information on acute, adult mental health wards: the WardSonar mixed-methods study.

John Baker, Sarah Kendal, Chris Bojke, Gemma Louch, Daisy Halligan, Saba Shafiq, Charlotte Sturley, Lauren Walker, Mark Brown, Kathryn Berzins, Lyn Brierley-Jones, Jane K O'Hara, Kirstin Blackwell, Gemma Wormald, Krysia Canvin, Charles Vincent
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引用次数: 0

Abstract

Background: Acute inpatient mental health services report high levels of safety incidents. The application of patient safety theory has been sparse, particularly concerning interventions that proactively seek patient perspectives.

Objective(s): Develop and evaluate a theoretically based, digital monitoring tool to collect real-time information from patients on acute adult mental health wards about their perceptions of ward safety.

Design: Theory-informed mixed-methods study. A prototype digital monitoring tool was developed from a co-design approach, implemented in hospital settings, and subjected to qualitative and quantitative evaluation.

Setting and methods: Phase 1: scoping review of the literature on patient involvement in safety interventions in acute mental health care; evidence scan of digital technology in mental health contexts; qualitative interviews with mental health patients and staff about perspectives on ward safety. This, alongside stakeholder engagement with advisory groups, service users and health professionals, informed the development processes. Most data collection was virtual. Phase 1 resulted in the technical development of a theoretically based digital monitoring tool that collected patient feedback for proactive safety monitoring. Phase 2: implementation of the tool in six adult acute mental health wards across two UK NHS trusts; evaluation via focused ethnography and qualitative interviews. Statistical analysis of WardSonar data and routine ward data involving construction of an hour-by-hour data set per ward, permitting detailed analysis of the use of the WardSonar tool.

Participants: A total of 8 patients and 13 mental health professionals participated in Phase 1 interviews; 33 staff and 34 patients participated in Phase 2 interviews.

Interventions: Patients could use a web application (the WardSonar tool) to record real-time perceptions of ward safety. Staff could access aggregated, anonymous data to inform timely interventions.

Results: Coronavirus disease 2019 restrictions greatly impacted the study. Stakeholder engagement permeated the project. Phase 1 delivered a theory-based, collaboratively designed digital tool for proactive patient safety monitoring. Phase 2 showed that the tool was user friendly and broadly acceptable to patients and staff. The aggregated safety data were infrequently used by staff. Feasibility depended on engaged staff and embedding use of the tool in ward routines. There is strong evidence that an incident leads to increased probability of further incidents within the next 4 hours. This puts a measure on the extent to which social/behavioural contagion persists. There is weak evidence to suggest that an incident leads to a greater use of the WardSonar tool in the following hour, but none to suggest that ward atmosphere predicts future incidents. Therefore, how often patients use the tool seems to send a stronger signal about potential incidents than patients' real-time reports about ward atmosphere.

Limitations: Implementation was limited to two NHS trusts. Coronavirus disease 2019 impacted design processes including stakeholder engagement; implementation; and evaluation of the monitoring tool in routine clinical practice. Higher uptake could enhance validity of the results.

Conclusions: WardSonar has the potential to provide a valuable route for patients to communicate safety concerns. The WardSonar monitoring tool has a strong patient perspective and uses proactive real-time safety monitoring rather than traditional retrospective data review.

Future work: The WardSonar tool can be refined and tested further in a post Coronavirus disease 2019 context.

Study registration: This study is registered as ISRCTN14470430.

Funding: This award was funded by the National Institute for Health and Care Research (NIHR) Health and Social Care Delivery Research programme (NIHR award ref: NIHR128070) and is published in full in Health and Social Care Delivery Research; Vol. 12, No. 14. See the NIHR Funding and Awards website for further award information.

服务用户数字干预,收集急性成人精神健康病房的实时安全信息:WardSonar 混合方法研究。
背景:急诊住院病人精神健康服务的安全事故报告率很高。患者安全理论的应用还很少,特别是在主动征求患者观点的干预措施方面:开发并评估一种基于理论的数字监控工具,以收集急诊成人精神疾病病房患者对病房安全看法的实时信息:设计:基于理论的混合方法研究。根据共同设计方法开发了数字监控工具原型,在医院环境中实施,并进行了定性和定量评估:第一阶段:对患者参与急性精神疾病护理安全干预的文献进行范围界定;对精神疾病背景下的数字技术进行证据扫描;对精神疾病患者和员工进行定性访谈,了解他们对病房安全的看法。这些工作以及咨询小组、服务使用者和医疗专业人员等利益相关者的参与,都为开发过程提供了信息。大部分数据的收集都是虚拟的。第 1 阶段:从技术角度开发了一个以理论为基础的数字监控工具,用于收集病人的反馈意见,进行主动安全监控。第 2 阶段:在英国国家医疗服务系统(NHS)两家托管机构的六个成人急症精神病房实施该工具;通过重点人种学和定性访谈进行评估。对 WardSonar 数据和常规病房数据进行统计分析,包括构建每个病房每小时的数据集,以便对 WardSonar 工具的使用情况进行详细分析:共有 8 名患者和 13 名精神卫生专业人员参加了第一阶段的访谈;33 名员工和 34 名患者参加了第二阶段的访谈:患者可以使用网络应用程序(WardSonar 工具)记录对病房安全的实时感知。工作人员可以访问汇总的匿名数据,以便及时采取干预措施:结果:2019 年冠状病毒疾病的限制对研究产生了很大影响。利益相关者的参与贯穿了整个项目。第一阶段提供了一个基于理论、合作设计的数字工具,用于主动监测患者安全。第 2 阶段表明,该工具对用户友好,并被患者和员工广泛接受。员工很少使用汇总的安全数据。其可行性取决于员工的参与度以及在病房日常工作中使用该工具的情况。有确凿证据表明,一起事故会导致在接下来的 4 小时内发生更多事故的可能性增加。这可以衡量社会/行为传染的持续程度。有微弱的证据表明,事件会导致在接下来的一小时内更多地使用 WardSonar 工具,但没有证据表明病房氛围可以预测未来的事件。因此,与病人对病房气氛的实时报告相比,病人使用该工具的频率似乎能发出更强的潜在事件信号:局限性:实施范围仅限于两个国家医疗服务系统信托机构。2019年冠状病毒疾病影响了设计过程,包括利益相关者的参与、实施以及在常规临床实践中对监测工具的评估。更高的使用率可以提高结果的有效性:WardSonar 有可能为患者提供一个传达安全问题的重要途径。WardSonar 监测工具具有很强的患者视角,并采用主动的实时安全监测而非传统的回顾性数据审查:未来工作:WardSonar 工具可在 2019 年后冠状病毒疾病的背景下进一步完善和测试:本研究注册为 ISRCTN14470430:本奖项由国家健康与护理研究所(NIHR)健康与社会护理服务研究计划(NIHR奖项编号:NIHR128070)资助,全文发表于《健康与社会护理服务研究》第12卷第14期。更多奖项信息请参阅 NIHR Funding and Awards 网站。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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