Literature DB >> 26902242

VA and Medicare Utilization Among Dually Enrolled Veterans with Type 2 Diabetes: A Latent Class Analysis.

Thomas R Radomski1,2, Xinhua Zhao2, Carolyn T Thorpe2,3, Joshua M Thorpe2,3, Chester B Good1,2,3,4, Maria K Mor2,5, Michael J Fine1,2, Walid F Gellad6,7.   

Abstract

BACKGROUND: Many Veterans treated within the VA Healthcare System (VA) are also enrolled in fee-for-service (FFS) Medicare and receive treatment outside the VA. Prior research has not accounted for the multiple ways that Veterans receive services across healthcare systems.
OBJECTIVE: We aimed to establish a typology of VA and Medicare utilization among dually enrolled Veterans with type 2 diabetes.
DESIGN: This was a retrospective cohort. PARTICIPANTS: 316,775 community-dwelling Veterans age ≥ 65 years with type 2 diabetes who were dually enrolled in the VA and FFS Medicare in 2008-2009.
METHODS: Using latent class analysis, we identified classes of Veterans based upon their probability of using VA and Medicare diabetes care services, including patient visits, laboratory tests, glucose test strips, and medications. We compared the amount of healthcare use between classes and identified factors associated with class membership using multinomial regression. KEY
RESULTS: We identified four distinct latent classes: class 1 (53.9%) had high probabilities of VA use and low probabilities of Medicare use; classes 2 (17.2%), 3 (21.8%), and 4 (7.0%) had high probabilities of VA and Medicare use, but differed in their Medicare services used. For example, Veterans in class 3 received test strips exclusively through Medicare, while Veterans in class 4 were reliant on Medicare for medications. Living ≥ 40 miles from a VA predicted membership in classes 3 (OR 1.1, CI 1.06-1.15) and 4 (OR 1.11, CI 1.04-1.18), while Medicaid eligibility predicted membership in class 4 (OR 4.30, CI 4.10-4.51).
CONCLUSIONS: Veterans with diabetes can be grouped into four distinct classes of dual health system use, representing a novel way to characterize how patients use multiple services across healthcare systems. This classification has applications for identifying patients facing differential risk from care fragmentation.

Entities:  

Keywords:  Medicare; Veterans; diabetes; health services research; utilization

Mesh:

Substances:

Year:  2016        PMID: 26902242      PMCID: PMC4835371          DOI: 10.1007/s11606-016-3631-4

Source DB:  PubMed          Journal:  J Gen Intern Med        ISSN: 0884-8734            Impact factor:   5.128


  34 in total

1.  Use of dual health care services among veterans seen in Veterans Affairs primary care clinics.

Authors:  Anouk L Grubaugh; Kathryn M Magruder; Heidi M Zinzow; B Christopher Frueh
Journal:  Gen Hosp Psychiatry       Date:  2009-05-23       Impact factor: 3.238

2.  Where do elderly veterans obtain care for acute myocardial infarction: Department of Veterans Affairs or Medicare?

Authors:  S M Wright; J Daley; E S Fisher; G E Thibault
Journal:  Health Serv Res       Date:  1997-02       Impact factor: 3.402

3.  Relationship between glycemic control and diabetes-related hospital costs in patients with type 1 or type 2 diabetes mellitus.

Authors:  Joseph Menzin; Jonathan R Korn; Joseph Cohen; Francis Lobo; Bin Zhang; Mark Friedman; Peter J Neumann
Journal:  J Manag Care Pharm       Date:  2010-05

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.  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

7.  Validation of a combined comorbidity index.

Authors:  M Charlson; T P Szatrowski; J Peterson; J Gold
Journal:  J Clin Epidemiol       Date:  1994-11       Impact factor: 6.437

8.  Care patterns in Medicare and their implications for pay for performance.

Authors:  Hoangmai H Pham; Deborah Schrag; Ann S O'Malley; Beny Wu; Peter B Bach
Journal:  N Engl J Med       Date:  2007-03-15       Impact factor: 91.245

9.  Use of Medicare and Department of Veterans Affairs health care by veterans with dementia: a longitudinal analysis.

Authors:  Carolyn W Zhu; Joan D Penrod; Joseph S Ross; Cornelia Dellenbaugh; Mary Sano
Journal:  J Am Geriatr Soc       Date:  2009-08-13       Impact factor: 5.562

10.  Patterns of perceived barriers to medical care in older adults: a latent class analysis.

Authors:  Joshua M Thorpe; Carolyn T Thorpe; Korey A Kennelty; Nancy Pandhi
Journal:  BMC Health Serv Res       Date:  2011-08-03       Impact factor: 2.655

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  11 in total

1.  The Impact of Medication-Based Risk Adjustment on the Association Between Veteran Health Outcomes and Dual Health System Use.

Authors:  Thomas R Radomski; Xinhua Zhao; Carolyn T Thorpe; Joshua M Thorpe; Jennifer G Naples; Maria K Mor; Chester B Good; Michael J Fine; Walid F Gellad
Journal:  J Gen Intern Med       Date:  2017-05-01       Impact factor: 5.128

2.  Fee-for-Service Medicare-Enrolled Elderly Veterans Are Increasingly Voting with Their Feet to Use More VA and Less Medicare, 2003-2014.

Authors:  Chuan-Fen Liu; Adam Batten; Edwin S Wong; Stephan D Fihn; Paul L Hebert
Journal:  Health Serv Res       Date:  2018-08-27       Impact factor: 3.402

3.  Use of a medication-based risk adjustment index to predict mortality among veterans dually-enrolled in VA and medicare.

Authors:  Thomas R Radomski; Xinhua Zhao; Joseph T Hanlon; Joshua M Thorpe; Carolyn T Thorpe; Jennifer G Naples; Florentina E Sileanu; John P Cashy; Jennifer A Hale; Maria K Mor; Leslie R M Hausmann; Julie M Donohue; Katie J Suda; Kevin T Stroupe; Chester B Good; Michael J Fine; Walid F Gellad
Journal:  Healthc (Amst)       Date:  2019-04-26

4.  Physicians' Perspectives Regarding Prescription Drug Monitoring Program Use Within the Department of Veterans Affairs: a Multi-State Qualitative Study.

Authors:  Thomas R Radomski; Felicia R Bixler; Susan L Zickmund; KatieLynn M Roman; Carolyn T Thorpe; Jennifer A Hale; Florentina E Sileanu; Leslie R M Hausmann; Joshua M Thorpe; Katie J Suda; Kevin T Stroupe; Adam J Gordon; Chester B Good; Michael J Fine; Walid F Gellad
Journal:  J Gen Intern Med       Date:  2018-03-08       Impact factor: 5.128

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

Authors:  Mary Vaughan Sarrazin; Gary E Rosenthal; Carolyn L Turvey
Journal:  Health Serv Res       Date:  2018-06-12       Impact factor: 3.402

6.  Receipt of Overlapping Opioid and Benzodiazepine Prescriptions Among Veterans Dually Enrolled in Medicare Part D and the Department of Veterans Affairs: A Cross-sectional Study.

Authors:  Ron Carico; Xinhua Zhao; Carolyn T Thorpe; Joshua M Thorpe; Florentina E Sileanu; John P Cashy; Jennifer A Hale; Maria K Mor; Thomas R Radomski; Leslie R M Hausmann; Julie M Donohue; Katie J Suda; Kevin Stroupe; Joseph T Hanlon; Chester B Good; Michael J Fine; Walid F Gellad
Journal:  Ann Intern Med       Date:  2018-10-09       Impact factor: 25.391

7.  Characteristics of Veterans With Non-VA Encounters Enrolled in a Trial of Standards-Based, Interoperable Event Notification and Care Coordination.

Authors:  Rebecca Kartje; Brian E Dixon; Ashley L Schwartzkopf; Vivian Guerrero; Kimberly M Judon; Joanne C Yi; Kenneth Boockvar
Journal:  J Am Board Fam Med       Date:  2021 Mar-Apr       Impact factor: 2.657

8.  Source of Post-Transplant Care and Mortality among Kidney Transplant Recipients Dually Enrolled in VA and Medicare.

Authors:  Winn Cashion; Walid F Gellad; Florentina E Sileanu; Maria K Mor; Michael J Fine; Jennifer Hale; Daniel E Hall; Shari Rogal; Galen Switzer; Mohan Ramkumar; Virginia Wang; Douglas A Bronson; Mark Wilson; William Gunnar; Steven D Weisbord
Journal:  Clin J Am Soc Nephrol       Date:  2021-02-18       Impact factor: 8.237

9.  Using item response theory with health system data to identify latent groups of patients with multiple health conditions.

Authors:  Katherine M Prenovost; Stephan D Fihn; Matthew L Maciejewski; Karin Nelson; Sandeep Vijan; Ann-Marie Rosland
Journal:  PLoS One       Date:  2018-11-26       Impact factor: 3.240

10.  Benzodiazepine Prescribing from VA and Medicare to Dually Enrolled Older Veterans: A Retrospective Cohort Study.

Authors:  Lianlian Lei; Julie Strominger; Ilse R Wiechers; H Myra Kim; Frederic C Blow; Amy S B Bohnert; Lillian Min; Sarah L Krein; Donovan T Maust
Journal:  J Gen Intern Med       Date:  2021-05-28       Impact factor: 6.473

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