使用数据驱动的干预措施优化谵妄预防的保健工作人员观点

IF 1.4 4区 医学 Q4 GERIATRICS & GERONTOLOGY
Swapna Gokhale, Belinda Garth, Melinda Webb-St Mart, David Taylor, Nikolajs Zeps, Joanne Enticott, Helena Teede, Sandy Reeder
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引用次数: 0

摘要

本研究旨在从卫生服务人员的角度确定影响谵妄预防的因素(风险识别和筛查),以确定临床采用数据驱动优化预防谵妄的关键特征和实施策略。这项实施前研究使用莫纳什学习健康系统(LHS)范式来可视化常规护理中谵妄预防的迭代综合同化。方法在澳大利亚大型城市公共卫生网络中进行定性研究。在与组织领导人协商后,招募了具有谵妄护理交付专业知识的临床/非临床参与者的有目的样本。访谈采用框架方法进行归纳分析。实施研究综合框架(CFIR)领域为访谈问题提供了基础,并指导了对回应的专题绘图和分析。结果对18名临床[n = 14]和非临床[n = 4]的参与者进行了半结构化访谈。关键主题包括将谵妄风险识别和筛选过程持续整合到临床工作流程中的挑战,阻碍决策支持数字化的基础设施相关障碍,以及让护理人员和工作人员参与设计优化以实现适当和及时的谵妄预防的必要性。本研究对影响谵妄预防的关键因素有了深入的了解,重点是谵妄风险自动预测等优化措施的开发和实施。改善医院信息技术基础设施,支持员工数字素养,并确保所有专业团体的问责制,对于在临床实践中实施自动谵妄风险预测模型至关重要。未来的研究应在实用的临床试验中检验优化的谵妄预防干预措施的可行性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Health-care staff perspectives in optimising delirium prevention using data-driven interventions

Health-care staff perspectives in optimising delirium prevention using data-driven interventions

Objectives

This study aimed to identify factors influencing delirium prevention (risk identification and screening), from the perspective of health service staff, in order to ascertain the characteristics and implementation strategies critical for the clinical adoption of data-driven optimisations for delirium prevention. This pre-implementation study used the Monash Learning Health System (LHS) paradigm to visualise iterative integrated assimilation of delirium prevention in routine care.

Methods

A qualitative study was conducted in a large metropolitan public health network in Australia. Following consultation with organisational leaders, a purposive sample of clinical/non-clinical participants with expertise in delirium care delivery was recruited. Interviews were inductively analysed using a framework approach. The Consolidated Framework for Implementation Research (CFIR) domains underpinned interview questions and guided thematic mapping and analysis of responses.

Results

Semi-structured interviews were conducted with 18 participants (clinical [n = 14] and non-clinical [n = 4]). Key themes included challenges in consistently integrating delirium risk identification and screening processes into clinical workflows, infrastructure-related obstacles hindering the digitisation of decision support, and the need to engage caregivers and staff in designing optimisations to enable appropriate and timely delirium prevention.

Conclusions

This study generated insights into key factors influencing delirium prevention, focusing on the development and implementation of optimisations such as automated delirium risk prediction. Improving hospital information technology infrastructure, supporting workforce digital literacy and ensuring accountability in all professional groups are crucial for implementing automated delirium risk prediction models in clinical practice. Future research should examine the feasibility and efficacy of optimised delirium prevention interventions in pragmatic clinical trials.

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来源期刊
Australasian Journal on Ageing
Australasian Journal on Ageing 医学-老年医学
CiteScore
3.10
自引率
6.20%
发文量
114
审稿时长
>12 weeks
期刊介绍: Australasian Journal on Ageing is a peer reviewed journal, which publishes original work in any area of gerontology and geriatric medicine. It welcomes international submissions, particularly from authors in the Asia Pacific region.
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