Literature DB >> 15937400

Severity of illness, race, and choice of local versus distant hospitals among the elderly.

Jayasree Basu1.   

Abstract

This study examines travel patterns for hospitalization among elderly patients to address whether there are differences by age and race/ethnicity, and whether the differences persist even when a severe illness occurs. Using the Healthcare Cost and Utilization Project (HCUP) State Inpatient database (SID) of the Agency for Healthcare Research and Quality, the study focuses on New York residents in the 65-and-over age group who are hospitalized in New York or neighboring states. Two types of hospital admissions are used: referral-sensitive admissions (fairly discretionary, high-technology procedures) and ambulatory care-sensitive admissions (avoidable with appropriate primary care). The study found that, after adjusting for other covariates, travel progressively declines with age among the elderly. Travel patterns across elderly age cohorts were not significantly different when patients were more severely ill. Members of racial/ethnic minority groups were less likely to travel than whites, and this gap persisted even when a severe illness occurred.

Entities:  

Mesh:

Year:  2005        PMID: 15937400     DOI: 10.1353/hpu.2005.0023

Source DB:  PubMed          Journal:  J Health Care Poor Underserved        ISSN: 1049-2089


  10 in total

1.  Use of prolonged travel to improve pediatric risk-adjustment models.

Authors:  Scott A Lorch; Jeffrey H Silber; Orit Even-Shoshan; Andrea Millman
Journal:  Health Serv Res       Date:  2008-12-30       Impact factor: 3.402

2.  Modelling competition in health care markets as a complex adaptive system: an agent-based framework.

Authors:  Abdullah Alibrahim; Shinyi Wu
Journal:  Health Syst (Basingstoke)       Date:  2019-01-24

3.  An agent-based simulation model of patient choice of health care providers in accountable care organizations.

Authors:  Abdullah Alibrahim; Shinyi Wu
Journal:  Health Care Manag Sci       Date:  2016-10-04

4.  Socioeconomic and racial differences in treatment for breast cancer at a low-volume hospital.

Authors:  Amanda L Kong; Tina W F Yen; Liliana E Pezzin; Haiyan Miao; Rodney A Sparapani; Purushottam W Laud; Ann B Nattinger
Journal:  Ann Surg Oncol       Date:  2011-08-23       Impact factor: 5.344

5.  Rural Patients With Severe Sepsis or Septic Shock Who Bypass Rural Hospitals Have Increased Mortality: An Instrumental Variables Approach.

Authors:  Nicholas M Mohr; Karisa K Harland; Dan M Shane; Azeemuddin Ahmed; Brian M Fuller; Marcia M Ward; James C Torner
Journal:  Crit Care Med       Date:  2017-01       Impact factor: 7.598

6.  Bypass of local primary care in rural counties: effect of patient and community characteristics.

Authors:  Jiexin Jason Liu; Gail Bellamy; Beth Barnet; Shuhe Weng
Journal:  Ann Fam Med       Date:  2008 Mar-Apr       Impact factor: 5.166

7.  Disparities in Patterns of Health Care Travel Among Inpatients Diagnosed With Congestive Heart Failure, Florida, 2011.

Authors:  Peng Jia; Imam M Xierali
Journal:  Prev Chronic Dis       Date:  2015-09-17       Impact factor: 2.830

8.  Factors associated with the choice of primary care facilities for initial treatment among rural and urban residents in Southwestern China.

Authors:  Xiaxia Sun; Hongdao Meng; Zhiqiu Ye; Kyaien O Conner; Zhanqi Duan; Danping Liu
Journal:  PLoS One       Date:  2019-02-07       Impact factor: 3.240

Review 9.  Patient Mobility for Elective Secondary Health Care Services in Response to Patient Choice Policies: A Systematic Review.

Authors:  Ajay Aggarwal; Daniel Lewis; Malcolm Mason; Richard Sullivan; Jan van der Meulen
Journal:  Med Care Res Rev       Date:  2016-06-28       Impact factor: 2.971

10.  Effect of patient choice and hospital competition on service configuration and technology adoption within cancer surgery: a national, population-based study.

Authors:  Ajay Aggarwal; Daniel Lewis; Malcolm Mason; Arnie Purushotham; Richard Sullivan; Jan van der Meulen
Journal:  Lancet Oncol       Date:  2017-10-03       Impact factor: 41.316

  10 in total

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