2010 journal article

Modeling the impact of comorbidity on breast cancer patient outcomes

HEALTH CARE MANAGEMENT SCIENCE, 13(2), 137–154.

By: S. Zhang n, J. Ivy n, F. Payton n & K. Diehl*

author keywords: Nationwide inpatient sample; Breast cancer; Comorbidity; Descriptive statistics; Least squares regression; Survival analysis; Logistic regression; Censoring; Length of stay; Total charges; Mortality
MeSH headings : Aged; Breast Neoplasms / economics; Breast Neoplasms / mortality; Breast Neoplasms, Male / economics; Breast Neoplasms, Male / mortality; Comorbidity; Female; Hospital Charges / statistics & numerical data; Humans; Length of Stay; Logistic Models; Male; Middle Aged; Models, Theoretical; Outcome Assessment, Health Care; Survival Analysis; United States / epidemiology
TL;DR: This study shows that certain hypertension may not increase length of stay and total charges; diabetes behaves differently among general population and breast cancer patients; mental disorder has an impact on patient disposition that affects true length ofStay and charges, and obesity may have limited effect on patient outcomes. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.

Certain data included herein are derived from the Web of Science© and InCites© (2024) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.