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自动化移动患者参与应用程序对急诊科复诊的影响:前瞻性观察研究。

The Effect of an Automated Mobile Patient Engagement Application on Emergency Department Revisits: Prospective Observational Study.

作者信息

Chatterjee Pothik, Beck Adam M, Brager Jenna Ashley Levenson, Durand Daniel J, D'Adamo Christopher R

机构信息

Innovation and Research Department, LifeBridge Health, Baltimore, MD, United States.

Department of Family & Community Medicine, University of Maryland School of Medicine, Baltimore, MD, United States.

出版信息

JMIR Form Res. 2021 Dec 13;5(12):e17839. doi: 10.2196/17839.

DOI:10.2196/17839
PMID:34898451
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8713095/
Abstract

BACKGROUND

Revisits within 30 days to an emergency department (ED), observation care unit, or inpatient setting following patient discharge continue to be a challenge, especially in urban settings. In addition to the consequences for the patient, these revisits have a negative impact on a health system's finances in a value-based care or global budget environment. LifeBridge Health, a community health system in Maryland, United States, implemented an automated mobile patient engagement application as part of our enterprise-wide digital health strategy to improve patient engagement and reduce revisits to the ED.

OBJECTIVE

The aim of this paper was to evaluate the effectiveness of a customized automated digital patient engagement application (GetWell Loop) to reduce 30-day revisits after home discharge from an ED.

METHODS

The LifeBridge Health Innovation Department and ED staff from 2 participating health system hospitals collaborated with GetWellNetwork to customize their patient engagement application with automated check-in questions and other on-demand resources (eg, streaming content explaining aspects of self-care during COVID-19). An application link was emailed to adult patients discharged home from the ED. A study of ED visits for patients treated for general medicine and cardiology conditions between August 1, 2018, and July 31, 2019, was conducted using CRISP (Chesapeake Regional Information System for our Patients), Maryland's state-designated health information exchange. We also used data within GetWell Loop (GetWellNetwork) to track patient activation and engagement. The primary outcome was the number of ED patients who experienced a 30-day revisit and who did or did not activate their GetWell Loop account. Secondary outcomes included the overall activation rate and the rate of engagement as measured by the number of logins, alerts, and comments generated by patients through the application. Bivariate analysis comparing outcomes among patients who activated the GetWell Loop application to patients who did not was conducted using the Fisher exact test. Multivariate logistic regression modeling with elastic net regularization was also performed to account for potential confounders and potential collinearity of covariates.

RESULTS

During this 1-year study, 1062 (27.4%) of 3866 of all emergency patients treated for general medicine or cardiology conditions, who received an invite to use the digital application, activated their account. The patients discharged from the ED, who were treated for general medicine conditions (n=2087) and who activated their GetWell Loop account, experienced a 30-day revisit rate of 17.3% (n=101) compared with 24.6% (n=369) for those who did not activate their account (P<.001). Of the patients treated for cardiology conditions (n=1779), 12.8% (n=61) of those who activated their GetWell account experienced a 30-day revisit compared with 17.7% (n=231) of those who did not activate their account (P=.01). The significance of these findings persisted after adjustment for confounding variables including age, race, sex, and payor in logistic regression modeling (adjusted odds ratio 0.75, 95% CI 0.62-0.92; P=.006).

CONCLUSIONS

Our results suggest that a significant percentage of patients are willing to utilize a digital application following ED discharge to better engage in their own care, and that usage of such digital applications may significantly reduce 30-day revisit rates. LifeBridge Health's experience demonstrates that health care systems can leverage automated mobile apps to improve patient engagement and successfully impact clinical outcomes at scale.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8dcb/8713095/94481de11207/formative_v5i12e17839_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8dcb/8713095/94481de11207/formative_v5i12e17839_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8dcb/8713095/94481de11207/formative_v5i12e17839_fig1.jpg
摘要

背景

患者出院后30天内再次前往急诊科(ED)、观察护理单元或住院环境仍是一项挑战,尤其是在城市环境中。除了对患者产生的后果外,这些再次就诊在基于价值的医疗或全球预算环境中对卫生系统的财务状况也有负面影响。美国马里兰州的社区卫生系统LifeBridge Health实施了一个自动化移动患者参与应用程序,作为我们全企业数字健康战略的一部分,以提高患者参与度并减少再次前往急诊科的次数。

目的

本文旨在评估定制的自动化数字患者参与应用程序(GetWell Loop)在减少急诊科出院回家后30天内再次就诊方面的有效性。

方法

LifeBridge Health创新部门和来自2家参与的卫生系统医院急诊科工作人员与GetWellNetwork合作,通过自动签到问题和其他按需资源(如解释COVID-19期间自我护理方面的流媒体内容)定制患者参与应用程序。应用程序链接通过电子邮件发送给从急诊科出院回家的成年患者。使用马里兰州指定的健康信息交换系统CRISP(切萨皮克地区患者信息系统),对2018年8月1日至2019年7月31日期间因普通内科和心脏病接受治疗的患者的急诊科就诊情况进行了研究。我们还使用GetWell Loop(GetWellNetwork)中的数据来跟踪患者的激活和参与情况。主要结果是在30天内再次就诊且激活或未激活GetWell Loop账户的急诊科患者数量。次要结果包括总体激活率以及通过患者通过该应用程序生成的登录次数、警报次数和评论次数衡量的参与率。使用Fisher精确检验对激活GetWell Loop应用程序的患者与未激活该应用程序的患者的结果进行双变量分析。还进行了带有弹性网正则化的多变量逻辑回归建模,以考虑潜在的混杂因素和协变量的潜在共线性。

结果

在这项为期1年的研究中,在3866名因普通内科或心脏病接受治疗并收到使用数字应用程序邀请的所有急诊患者中,有1062名(27.4%)激活了他们的账户。从急诊科出院且因普通内科疾病接受治疗(n = 2087)并激活GetWell Loop账户的患者,30天内再次就诊率为17.3%(n = 101),而未激活账户的患者为24.6%(n = 369)(P <.001)。在因心脏病接受治疗的患者(n = 1779)中,激活GetWell账户的患者中有12.8%(n = 61)在30天内再次就诊,而未激活账户的患者为17.7%(n = 231)(P =.01)。在逻辑回归建模中对包括年龄、种族、性别和付款人在内的混杂变量进行调整后,这些发现的显著性仍然存在(调整后的优势比为0.75,95%置信区间为0.62 - 0.92;P =.006)。

结论

我们的结果表明,相当大比例的患者愿意在急诊科出院后使用数字应用程序以更好地参与自身护理,并且使用此类数字应用程序可能会显著降低30天内的再次就诊率。LifeBridge Health的经验表明,医疗保健系统可以利用自动化移动应用程序来提高患者参与度,并成功大规模影响临床结果。

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