Hospital Charges and Comorbidities of Obese and Morbidly Obese Patients

W. Hlaing, Sunny H. Kim, D. Dávalos
{"title":"Hospital Charges and Comorbidities of Obese and Morbidly Obese Patients","authors":"W. Hlaing, Sunny H. Kim, D. Dávalos","doi":"10.5580/280","DOIUrl":null,"url":null,"abstract":"To examine the variations in average hospital charges and to describe comorbidities between non-obese, obese, and morbidly obese, a retrospective analysis of 2005 inpatient data from the Florida Agency for Health Care Administration (AHCA) was performed. Of all hospitalizations (N=2,534,641) in Florida during 2005, 94.9%, 3.3%, and 1.8% belonged to non-obese, obese, and morbidly obese patients, respectively. Socio-demographic (e.g., race/ethnicity, health insurance) and hospital characteristics (e.g., length of stay or LOS) differed significantly in three groups. Also, case mix, age, sex, race/ethnicity, LOS, and health insurance-adjusted mean hospital charges (US $) were significantly different among non-obese (15,021), obese (19,550), and morbidly obese groups (22,192) (p < .01). The most common reason for hospitalization was coronary atherosclerosis among non-obese and obese patients while it was congestive heart failure among morbidly obese patients. Hospital charges increased as weight increased among Florida inpatients, thus, economicconsequences of obesity should be further explored. Note: Work originated when W.M. Hlaing and D.M. Davalos were in the department of Epidemiology and Biostatistics at Florida International University.","PeriodicalId":247354,"journal":{"name":"The Internet Journal of Epidemiology","volume":"17 2","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Internet Journal of Epidemiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5580/280","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

To examine the variations in average hospital charges and to describe comorbidities between non-obese, obese, and morbidly obese, a retrospective analysis of 2005 inpatient data from the Florida Agency for Health Care Administration (AHCA) was performed. Of all hospitalizations (N=2,534,641) in Florida during 2005, 94.9%, 3.3%, and 1.8% belonged to non-obese, obese, and morbidly obese patients, respectively. Socio-demographic (e.g., race/ethnicity, health insurance) and hospital characteristics (e.g., length of stay or LOS) differed significantly in three groups. Also, case mix, age, sex, race/ethnicity, LOS, and health insurance-adjusted mean hospital charges (US $) were significantly different among non-obese (15,021), obese (19,550), and morbidly obese groups (22,192) (p < .01). The most common reason for hospitalization was coronary atherosclerosis among non-obese and obese patients while it was congestive heart failure among morbidly obese patients. Hospital charges increased as weight increased among Florida inpatients, thus, economicconsequences of obesity should be further explored. Note: Work originated when W.M. Hlaing and D.M. Davalos were in the department of Epidemiology and Biostatistics at Florida International University.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
肥胖和病态肥胖患者的医院收费和合并症
为了检查平均医院收费的变化,并描述非肥胖、肥胖和病态肥胖之间的合并症,对2005年佛罗里达州卫生保健管理局(AHCA)的住院患者数据进行了回顾性分析。在2005年佛罗里达州的所有住院患者(N=2,534,641)中,分别有94.9%、3.3%和1.8%属于非肥胖、肥胖和病态肥胖患者。社会人口统计学(例如,种族/族裔、健康保险)和医院特征(例如,住院时间或LOS)在三组中有显著差异。此外,病例组合、年龄、性别、种族/民族、LOS和健康保险调整后的平均医院费用(US $)在非肥胖组(15,021)、肥胖组(19,550)和病态肥胖组(22192)之间存在显著差异(p < 0.01)。非肥胖和肥胖患者住院最常见的原因是冠状动脉粥样硬化,病态肥胖患者住院最常见的原因是充血性心力衰竭。佛罗里达州住院病人体重增加,医院收费也随之增加,因此,肥胖的经济后果应进一步探讨。注:这项工作起源于W.M. Hlaing和D.M. Davalos在佛罗里达国际大学流行病学和生物统计学系的时候。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Participation Rates In Epidemiology Studies And Surveys: A Review 2007–2015 Population Migration Through Railroads And Spatial Diffusion Of Polio In India: A Cross-Sectional Pr Adjusting Structural Equation Modelling Of Spiritual Coping Scale: Use Of The Sattora-Bentler Method As An Alternative To Maximum Likelihood Estimation An Approach to Comparing Nations for Inclusion of Studies in Health-based Systematic Literature Reviews Perspectives, Constructs And Methods In The Measurement Of Multimorbidity And Comorbidity: A Critical Review
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1