Clinical Decision Support to Efficiently Identify Patients Eligible for Advanced Heart Failure Therapies

Copyright © 2017 Elsevier Inc. All rights reserved..

BACKGROUND: Patients who need and receive timely advanced heart failure (HF) therapies have better long-term survival. However, many of these patients are not identified and referred as soon as they should be.

METHODS: A clinical decision support (CDS) application sent secure email notifications to HF patients' providers when they transitioned to advanced disease. Patients identified with CDS in 2015 were compared with control patients from 2013 to 2014. Kaplan-Meier methods and Cox regression were used in this intention-to-treat analysis to compare differences between visits to specialized and survival.

RESULTS: Intervention patients were referred to specialized heart facilities significantly more often within 30 days (57% vs 34%; P < .001), 60 days (69% vs 44%; P < .0001), 90 days (73% vs 49%; P < .0001), and 180 days (79% vs 58%; P < .0001). Age and sex did not predict heart facility visits, but renal disease did and patients of nonwhite race were less likely to visit specialized heart facilities. Significantly more intervention patients were found to be alive at 30 (95% vs 92%; P = .036), 60 (95% vs 90%; P = .0013), 90 (94% vs 87%; P = .0002), and 180 days (92% vs 84%; P = .0001). Age, sex, and some comorbid diseases were also predictors of mortality, but race was not.

CONCLUSIONS: We found that CDS can facilitate the early identification of patients needing advanced HF therapy and that its use was associated with significantly more patients visiting specialized heart facilities and longer survival.

Medienart:

E-Artikel

Erscheinungsjahr:

2017

Erschienen:

2017

Enthalten in:

Zur Gesamtaufnahme - volume:23

Enthalten in:

Journal of cardiac failure - 23(2017), 10 vom: 01. Okt., Seite 719-726

Sprache:

Englisch

Beteiligte Personen:

Evans, R Scott [VerfasserIn]
Kfoury, Abdallah G [VerfasserIn]
Horne, Benjamin D [VerfasserIn]
Lloyd, James F [VerfasserIn]
Benuzillo, Jose [VerfasserIn]
Rasmusson, Kismet D [VerfasserIn]
Roberts, Colleen [VerfasserIn]
Lappé, Donald L [VerfasserIn]

Links:

Volltext

Themen:

Advanced heart failure
Clinical decision support
Journal Article
Patient surveillance
Survival

Anmerkungen:

Date Completed 09.07.2018

Date Revised 09.07.2018

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1016/j.cardfail.2017.08.449

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM274944855