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通过使用创新技术和大数据实施最佳过渡护理实践,减少急诊就诊和住院治疗。

Reducing Emergency Room Visits and In-Hospitalizations by Implementing Best Practice for Transitional Care Using Innovative Technology and Big Data.

机构信息

Associate Professor, University at Buffalo School of Nursing, Buffalo, NY, USA.

Adjunct Faculty, Nursing, University at Buffalo School of Nursing, Buffalo, NY, USA.

出版信息

Worldviews Evid Based Nurs. 2018 Jun;15(3):170-177. doi: 10.1111/wvn.12286. Epub 2018 Mar 23.

Abstract

BACKGROUND

Efforts to improve care transitions require coordination across the healthcare continuum and interventions that enhance communication between acute and community settings.

AIMS

To improve post-discharge utilization value using technology to identify high-risk individuals who might benefit from rapid nurse outreach to assess social and behavioral determinants of health with the goal of reducing inpatient and emergency department visits.

METHODS

The project employed a before and after comparison of the intervention site with similar primary care practice sites using population-level Medicaid claims data. The intervention targeted discharged persons with preexisting chronic disease and delivered a care transition alert to a nurse care coordinator for immediate telephonic outreach. The nurse assessed social determinants of health and incorporated problems into the EHR to share across settings. The project evaluated health outcomes and the value of nursing care on existing electronic claims data to compare utilization in the years before and during the intervention using negative binomial regression to account for rare events such as inpatient visits.

RESULTS

Avoiding readmissions and emergency visits, and increasing timely outpatient visits improved the individual's experience of care and the work life of healthcare providers, while reducing per capita costs (Quadruple Aim). In the intervention practice, the nurse care coordinator demonstrated the value of nursing care by reducing inpatient (25%) and emergency (35%) visits, and increasing outpatient visits (27%). The estimated value of avoided encounters over the secular Medicaid trend was $664 per adult with chronic disease, generating $71,289 in revenue from additional outpatient visits.

LINKING EVIDENCE TO ACTION

Using health information exchange to deliver appropriate and timely evidence-based clinical decision support in the form of care transition alerts and assessment of social determinants of health, in conjunction with data science methods, demonstrates the value of nursing care and resulted in achieving the Quadruple Aim.

摘要

背景

为改善医疗服务的交接,需要在整个医疗保健连续体中进行协调,并采取加强急症和社区环境之间沟通的干预措施。

目的

利用技术确定高风险个体,通过快速护士联系来评估健康的社会和行为决定因素,从而提高出院后的利用价值,减少住院和急诊就诊次数。

方法

该项目采用了干预现场与使用人群水平医疗补助(Medicaid)索赔数据的类似初级保健实践现场的前后比较。干预针对患有预先存在的慢性病的出院患者,并向护士护理协调员发送护理交接警报,以便立即进行电话联系。护士评估健康的社会决定因素,并将问题纳入电子病历(EHR),以便在各场所之间共享。该项目使用负二项式回归来评估健康结果和护理服务的价值,以比较干预前后现有电子索赔数据中的利用情况,以考虑到住院等罕见事件。

结果

避免再入院和急诊就诊,增加及时的门诊就诊,改善了患者的护理体验和医疗保健提供者的工作生活,同时降低了人均成本(四重目标)。在干预实践中,护士护理协调员通过减少住院(25%)和急诊(35%)就诊次数,以及增加门诊就诊次数(27%),证明了护理服务的价值。与世俗医疗补助趋势相比,避免就诊的估计价值为每位患有慢性病的成年人 664 美元,从额外的门诊就诊中产生了 71,289 美元的收入。

将证据转化为行动

通过使用健康信息交换,以护理交接警报和健康的社会决定因素评估的形式提供适当和及时的基于证据的临床决策支持,结合数据科学方法,证明了护理服务的价值,并实现了四重目标。

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