Movatterモバイル変換


[0]ホーム

URL:


Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
Thehttps:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

NIH NLM Logo
Log inShow account info
Access keysNCBI HomepageMyNCBI HomepageMain ContentMain Navigation
pubmed logo
Advanced Clipboard
User Guide

Full text links

Elsevier Science full text link Elsevier Science
Full text links

Actions

Comparative Study
.2006 Oct;12(8):621-7.
doi: 10.1016/j.cardfail.2006.06.471.

Social network as a predictor of hospital readmission and mortality among older patients with heart failure

Affiliations
Comparative Study

Social network as a predictor of hospital readmission and mortality among older patients with heart failure

Fernando Rodríguez-Artalejo et al. J Card Fail.2006 Oct.

Abstract

Background: This study examines the relationship between social network and hospital readmission and mortality in older patients with heart failure.

Methods and results: Prospective study conducted with 371 patients, age 65 and older, admitted for heart failure-related emergencies at 4 Spanish hospitals. Social network was measured at baseline with a 4-item questionnaire that ascertained whether subjects were married, lived with another person(s), saw or had telephone contact with family members daily or almost daily, and were at home alone for less than 2 hours per day. Social network was deemed "high" where all 4 items were present, "moderate" where 3 were present, and "low" where 2 or fewer were present. Analyses were performed using Cox models, and adjusted for the main confounders. A total of 55% of patients had high or moderate social networks. During a median follow-up of 6.5 months, 135 (36.4%) patients underwent a first emergency rehospitalization and 68 (18.3%) died. Compared with patients with high social network, hospital readmission was more frequent among those who had moderate (hazard ratio [HR] 1.87; 95% confidence interval [CI] 1.06-3.29; P < .05) and low social networks (HR 1.98; 95% CI 1.07-3.68; P < .05). This relationship showed a positive dose-response (p for linear trend 0.042). The magnitude of this association was comparable to that of other important predictors of readmission, such as previous hospitalization. No relationship was observed between social network and death.

Conclusion: A very simple questionnaire measuring social network can identify patients with a higher short-term risk of hospital readmission.

PubMed Disclaimer

Publication types

MeSH terms

LinkOut - more resources

Full text links
Elsevier Science full text link Elsevier Science
Cite
Send To

NCBI Literature Resources

MeSHPMCBookshelfDisclaimer

The PubMed wordmark and PubMed logo are registered trademarks of the U.S. Department of Health and Human Services (HHS). Unauthorized use of these marks is strictly prohibited.


[8]ページ先頭

©2009-2025 Movatter.jp