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BMC Health Serv Res. 2024 Aug 23;24(1):974. doi: 10.1186/s12913-024-11367-4.
2
Implementation contexts and strategies for alternative peripherally inserted central catheter material and design selection: A qualitative exploration using CFIR/ERIC approach.外周置入中心静脉导管替代材料及设计选择的实施背景与策略:采用CFIR/ERIC方法的定性探索
J Adv Nurs. 2024 Jul 24. doi: 10.1111/jan.16342.
3
The Applications of Artificial Intelligence for Assessing Fall Risk: Systematic Review.人工智能在评估跌倒风险中的应用:系统评价。
J Med Internet Res. 2024 Apr 29;26:e54934. doi: 10.2196/54934.
4
Strengthening the evidence base for mHealth in clinical practice: Conducting research with standalone or interoperable systems - a viewpoint.加强移动健康在临床实践中的证据基础:使用独立或可互操作系统进行研究——一种观点。
Digit Health. 2023 Dec 15;9:20552076231216551. doi: 10.1177/20552076231216551. eCollection 2023 Jan-Dec.
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Creating an Implementation Enhancement Plan for a Digital Patient Fall Prevention Platform Using the CFIR-ERIC Approach: A Qualitative Study.采用 CFIR-ERIC 方法为数字患者跌倒预防平台创建实施增强计划:一项定性研究。
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Results from a type two hybrid-effectiveness study to implement a preoperative anemia and iron deficiency screening, evaluation, and management pathway.一项实施术前贫血和缺铁筛查、评估及管理路径的二型混合效应研究结果。
Transfusion. 2023 Apr;63(4):724-736. doi: 10.1111/trf.17287. Epub 2023 Feb 21.
7
World guidelines for falls prevention and management for older adults: a global initiative.世界老年人跌倒预防与管理指南:全球倡议。
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The Challenges Toward Real-world Implementation of Digital Health Design Approaches: Narrative Review.数字健康设计方法在现实世界中实施面临的挑战:叙事性综述。
JMIR Hum Factors. 2022 Sep 9;9(3):e35693. doi: 10.2196/35693.
9
Interventions to reduce falls in hospitals: a systematic review and meta-analysis.医院跌倒干预措施:系统评价和荟萃分析。
Age Ageing. 2022 May 1;51(5). doi: 10.1093/ageing/afac077.
10
Applying Implementation Mapping to Expand a Care Coordination Program at a Federally Qualified Health Center.将实施映射应用于扩大联邦合格健康中心的护理协调计划。
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使用共同设计的实施强化计划来提高数字防跌倒平台的采用率:一项非随机前后对照干预研究。

Using a Co-Designed Implementation Enhancement Plan to Increase the Adoption of a Digital Fall Prevention Platform: A Non-Randomized Pre-Post Interventional Study.

作者信息

Delaforce Alana, Li Jane, Niven Philippa, Maddock Emma, Grujovski Melisa, Fahy Michael J, Good Norman M, Jayasena Rajiv

机构信息

Australian E-Health Research Centre, Commonwealth Scientific and Industrial Research Organisation, Herston, QLD, Australia.

Nursing and Midwifery Services, Maitland Hospital, Hunter New England Local Health District, Maitland, NSW, Australia.

出版信息

J Multidiscip Healthc. 2025 Jun 17;18:3507-3518. doi: 10.2147/JMDH.S529247. eCollection 2025.

DOI:10.2147/JMDH.S529247
PMID:40546290
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12182247/
Abstract

BACKGROUND

Falls are a major cause of hospital acquired complications and inpatient harm. Interventions to prevent falls exist, but it is unclear which are most effective and what implementation strategies best support their use. This study sought to ascertain the impact of a co-designed implementation enhancement plan on the adoption and effect of a digital fall prevention platform in a new hospital.

METHODS

A non-randomized pre-post interventional study using multi-methods. A bespoke survey as well as descriptive and inferential statistical analysis of hospital administrative data and were used to identify the impact on: (1) adoption of the system and (2) the rate of falls.

RESULTS

The co-design implementation enhancement plan successfully improved the adoption of some key platform functions, most importantly, a 39% increase ( = 0.04) in setting a patient as having a high risk of falling on the staff station console. There were also improvements in staff response times, satisfaction and perceptions of the fall prevention platform. A risk reduction in falls per 1000 bed days was observed among cognitively intact patients post implementation enhancement plan, however, this difference was not statistically significant (OR = 0.97 95% CI [0.78,1.22] = 0.77).

CONCLUSION

The co-designed implementation enhancement plan improved uptake of the platform and is likely to be effective for other similar interventions. The platform shows the potential to reduce falls among cognitively intact patients, but longer periods of observation and a larger sample are needed to confirm the effect. Aside from falls, a reduction in nurse response time is likely to improve patient care and experience.

摘要

背景

跌倒是非故意伤害和住院患者并发症的主要原因。虽然存在预防跌倒的干预措施,但尚不清楚哪些措施最为有效,以及哪些实施策略能最有力地支持这些措施的应用。本研究旨在确定一项共同设计的实施强化计划对一家新建医院采用数字防跌倒平台及其效果的影响。

方法

采用多方法进行非随机前后对照干预研究。通过定制调查以及对医院管理数据进行描述性和推断性统计分析,以确定对以下方面的影响:(1)系统的采用情况;(2)跌倒发生率。

结果

共同设计的实施强化计划成功提高了一些关键平台功能的采用率,最重要的是,在员工工作站控制台将患者设定为跌倒高风险的比例增加了39%(P = 0.04)。员工响应时间、对防跌倒平台的满意度和认知度也有所改善。实施强化计划后,认知功能正常的患者每1000床日的跌倒风险有所降低,但差异无统计学意义(OR = 0.97,95%CI [0.78,1.22],P = 0.77)。

结论

共同设计的实施强化计划提高了平台的使用率,可能对其他类似干预措施也有效。该平台显示出降低认知功能正常患者跌倒风险的潜力,但需要更长时间的观察和更大的样本量来证实其效果。除了跌倒,护士响应时间的缩短可能会改善患者护理和体验。