Literature DB >> 12243676

Care after the onset of serious illness: a novel claims-based dataset exploiting substantial cross-set linkages to study end-of-life care.

Nicholas A Christakis1, Theodore J Iwashyna, James X Zhang.   

Abstract

To date, there has not been a study using a large, nationally representative group of patients with serious illness who are at risk for hospice use and who are followed forward in time to understand the determinants of hospice use. In this paper, we outline the development of a large new cohort of 1,221,153 Medicare beneficiaries newly diagnosed with 1 of 13 serious conditions in 1993, a cohort that can be used to study end-of-life care in the United States. In describing our methods, we illustrate the possible utility of Medicare claims for end-of-life research. The members of our cohort are followed forward for hospice and other health care use through December 1997, and for mortality through June 1999. Medicare claims data on their inpatient and outpatient hospital use is also collected. Based on the ZIP Codes and counties in which cohort members lived, we were also able to characterize the health care markets of cohort members, as well as obtain other socioeconomic information about them. Information about cohort member's health care providers is also available. Detailed health information about cohort members' spouses was also collected. We conclude by highlighting the types of analyses that can be conducted in this data set.

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Year:  2002        PMID: 12243676     DOI: 10.1089/109662102760269751

Source DB:  PubMed          Journal:  J Palliat Med        ISSN: 1557-7740            Impact factor:   2.947


  6 in total

1.  The lack of effect of market structure on hospice use.

Authors:  Theodore J Iwashyna; Virginia W Chang; James X Zhang; Nicholas A Christakis
Journal:  Health Serv Res       Date:  2002-12       Impact factor: 3.402

2.  End-of-life care at a community cancer center.

Authors:  David E Cowall; Bennett W Yu; Sandra L Heineken; Elizabeth N Lewis; Vishal Chaudhry; Joan M Daugherty
Journal:  J Oncol Pract       Date:  2012-05-22       Impact factor: 3.840

3.  Hospital end-of-life treatment intensity among cancer and non-cancer cohorts.

Authors:  Amber E Barnato; Elan D Cohen; Keili A Mistovich; Chung-Chou H Chang
Journal:  J Pain Symptom Manage       Date:  2014-08-15       Impact factor: 3.612

4.  Neighborhood effects on posthospitalization mortality: a population-based cohort study of the elderly in Chicago.

Authors:  Ming Wen; Nicholas A Christakis
Journal:  Health Serv Res       Date:  2005-08       Impact factor: 3.402

5.  Racial, ethnic, and affluence differences in elderly patients' use of teaching hospitals.

Authors:  Theodore J Iwashyna; Farr A Curlin; Nicholas A Christakis
Journal:  J Gen Intern Med       Date:  2002-09       Impact factor: 5.128

6.  Identifying Cohabiting Couples in Administrative Data: Evidence from Medicare Address Data.

Authors:  Sasmira Matta; Joanne W Hsu; Theodore J Iwashyna; Micah Y Baum; Kenneth M Langa; Lauren Hersch Nicholas
Journal:  Health Serv Outcomes Res Methodol       Date:  2020-11-12
  6 in total

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