Literature DB >> 29896771

Empirical-Based Typology of Health Care Utilization by Medicare Eligible Veterans.

Mary Vaughan Sarrazin1,2, Gary E Rosenthal3, Carolyn L Turvey4,5.   

Abstract

OBJECTIVE: Up to 70 percent of patients who receive care through Veterans Health Administration (VHA) facilities also receive care from non-VA providers. Using applied classification techniques, this study sought to improve understanding of how elderly VA patients use VA services and complementary use of non-VA care.
METHODS: The study included 1,721,900 veterans age 65 and older who were enrolled in VA and Medicare during 2013 with at least one VA encounter during 2013. Outpatient and inpatient encounters and medications received in VA were classified, and mutually exclusive patient subsets distinguished by patterns of VA service use were derived empirically using latent class analysis (LCA). Patient characteristics and complementary use of non-VA care were compared by patient subset.
RESULTS: Five patterns of VA service use were identified that were distinguished by quantity of VA medical and specialty services, medication complexity, and mental health services. Low VA Medical users tend to be healthier and rely on non-VA services, while High VA users have multiple high cost illnesses and concentrate their care in the VA.
CONCLUSIONS: VA patients distinguished by patterns of VA service use differ in illness burden and the use of non-VA services. This information may be useful for framing efforts to optimize access to care and care coordination for elderly VA patients. © Health Research and Educational Trust.

Entities:  

Keywords:  Administrative data uses; Medicare; VA Health Care System; access/demand/utilization of services; chronic disease

Mesh:

Year:  2018        PMID: 29896771      PMCID: PMC6235816          DOI: 10.1111/1475-6773.12995

Source DB:  PubMed          Journal:  Health Serv Res        ISSN: 0017-9124            Impact factor:   3.402


  25 in total

1.  Goodness-of-Fit Testing for Latent Class Models.

Authors:  L M Collins; P L Fidler; S E Wugalter; J D Long
Journal:  Multivariate Behav Res       Date:  1993-07-01       Impact factor: 5.923

2.  Exploring patterns of health service use in older emergency department patients.

Authors:  S Nicole Hastings; Carolyn Horney; Lawrence R Landerman; Linda L Sanders; Michael B Hocker; Kenneth E Schmader
Journal:  Acad Emerg Med       Date:  2010-10       Impact factor: 3.451

3.  Understanding patterns of service utilization among informal caregivers of community older adults.

Authors:  Song-Iee Hong
Journal:  Gerontologist       Date:  2009-07-02

4.  Duplicate federal payments for dual enrollees in Medicare Advantage plans and the Veterans Affairs health care system.

Authors:  Amal N Trivedi; Regina C Grebla; Lan Jiang; Jean Yoon; Vincent Mor; Kenneth W Kizer
Journal:  JAMA       Date:  2012-07-04       Impact factor: 56.272

5.  Multiple system utilization and mortality for veterans with stroke.

Authors:  Huanguang Jia; Yu Zheng; Dean M Reker; Diane C Cowper; Samuel S Wu; W Bruce Vogel; Gail C Young; Pamela W Duncan
Journal:  Stroke       Date:  2006-12-28       Impact factor: 7.914

6.  Reliance on Veterans Affairs outpatient care by Medicare-eligible veterans.

Authors:  Chuan-Fen Liu; Willard G Manning; James F Burgess; Paul L Hebert; Chris L Bryson; John Fortney; Mark Perkins; Nancy D Sharp; Matthew L Maciejewski
Journal:  Med Care       Date:  2011-10       Impact factor: 2.983

7.  Veterans' access to and use of Medicare and Veterans Affairs health care.

Authors:  Denise M Hynes; Kristin Koelling; Kevin Stroupe; Noreen Arnold; Katherine Mallin; Min-Woong Sohn; Frances M Weaver; Larry Manheim; Linda Kok
Journal:  Med Care       Date:  2007-03       Impact factor: 2.983

8.  Dual use of VA and non-VA services among primary care patients with depression.

Authors:  Chuan-Fen Liu; Cory Bolkan; Domin Chan; Elizabeth M Yano; Lisa V Rubenstein; Edmund F Chaney
Journal:  J Gen Intern Med       Date:  2008-12-20       Impact factor: 5.128

9.  Identifying veterans with acute strokes with high-specificity ICD-9 algorithm with VA automated records and Medicare claims data: a more complete picture.

Authors:  L Douglas Ried; Randi Cameon; Huangang Jia; Kimberly Findley; Melanie Sberna Hinojosa; Xinping Wang; Michael J Tueth
Journal:  J Rehabil Res Dev       Date:  2007

10.  Psychiatric comorbidity pattern in treatment-seeking veterans.

Authors:  J Don Richardson; F Ketcheson; L King; P Shnaider; M Marlborough; A Thompson; J D Elhai
Journal:  Psychiatry Res       Date:  2017-09-01       Impact factor: 3.222

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  1 in total

1.  HSR Commentary: Linking VA and Non-VA Data to Address Important US Veteran Health Services Research Issues.

Authors:  Denise M Hynes; Matthew L Maciejewski; David Atkins
Journal:  Health Serv Res       Date:  2018-12       Impact factor: 3.402

  1 in total

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