Literature DB >> 33832998

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

Rebecca Kartje1, Brian E Dixon2, Ashley L Schwartzkopf2, Vivian Guerrero2, Kimberly M Judon2, Joanne C Yi2, Kenneth Boockvar2.   

Abstract

INTRODUCTION: Understanding how veterans use Veterans Affairs (VA) for primary care and non-VA for acute care can help policy makers predict future health care resource use. We aimed to describe characteristics of veterans enrolled in a multisite clinical trial of non-VA acute event notifications and care coordination and to identify patient factors associated with non-VA acute care.
METHODS: Characteristics of 565 veterans enrolled in a prospective cluster randomized trial at the Bronx and Indianapolis VA Medical Centers were obtained by interview and chart review.
RESULTS: Veterans' mean age was 75.8 years old, 98.3% were male, and 39.2% self-identified as a minority race; 81.2% reported receiving the majority of care at the VA. There were 197 (34.9%) veterans for whom a non-VA acute care alert was received. Patient characteristics significantly associated with greater odds of a non-VA alert included older age (OR = 1.05; 95% CI, 1.04-1.05); majority of care received is non-VA (OR = 1.83; 95% CI, 1.06-3.15); private insurance (OR = 1.39; 95% CI, 1.19-1.62); and higher income (OR = 4.01; 95% CI, 2.68-5.98).
CONCLUSIONS: We identified several patient-level factors associated with non-VA acute care that can inform the design of VA services and policies for veterans with non-VA acute care encounters and reintegration back into the VA system. © Copyright 2021 by the American Board of Family Medicine.

Entities:  

Keywords:  Access to Health Care; Cluster Randomized; Continuity of Patient Care; Health Behavior; Health Information Exchange; Health Services Research; Patient Care; Population Health; Primary Health Care; Prospective Studies; Veterans Health Administration

Mesh:

Year:  2021        PMID: 33832998      PMCID: PMC8884716          DOI: 10.3122/jabfm.2021.02.200251

Source DB:  PubMed          Journal:  J Am Board Fam Med        ISSN: 1557-2625            Impact factor:   2.657


  12 in total

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

Authors:  Thomas R Radomski; Xinhua Zhao; Carolyn T Thorpe; Joshua M Thorpe; Chester B Good; Maria K Mor; Michael J Fine; Walid F Gellad
Journal:  J Gen Intern Med       Date:  2016-02-22       Impact factor: 5.128

2.  Predictors and outcomes of unplanned readmission to a different hospital.

Authors:  Hongsoo Kim; William W Hung; Myunghee Cho Paik; Joseph S Ross; Zhonglin Zhao; Gi-Soo Kim; Kenneth Boockvar
Journal:  Int J Qual Health Care       Date:  2015-10-15       Impact factor: 2.038

3.  Variations in VA and Medicare Use Among Veterans With Diabetes: Impacts on Ambulatory Care Sensitive Conditions Hospitalizations for 2008, 2009, and 2010.

Authors:  Danielle E Rose; Mazhgan Rowneki; Usha Sambamoorthi; Dennis Fried; Nilanjana Dwibedi; Chin-Lin Tseng; Nisha Jani; Elizabeth M Yano; Drew A Helmer
Journal:  Med Care       Date:  2019-06       Impact factor: 2.983

4.  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

5.  Relationship between clinical conditions and use of Veterans Affairs health care among Medicare-enrolled veterans.

Authors:  Laura A Petersen; Margaret M Byrne; Christina N Daw; Jennifer Hasche; Brian Reis; Kenneth Pietz
Journal:  Health Serv Res       Date:  2010-04-06       Impact factor: 3.402

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.  Service utilization of veterans dually eligible for VA and Medicare fee-for-service: 1999-2004.

Authors:  Jennifer Humensky; Henry Carretta; Kristin de Groot; Melissa M Brown; Elizabeth Tarlov; Denise M Hynes
Journal:  Medicare Medicaid Res Rev       Date:  2012-10-19

8.  Utilization of Care Outside the Veterans Affairs Health Care System by US Veterans With Rheumatoid Arthritis.

Authors:  Pascale Schwab; Harlan Sayles; Debra Bergman; Grant W Cannon; Kaleb Michaud; Ted R Mikuls; Jennifer Barton
Journal:  Arthritis Care Res (Hoboken)       Date:  2017-05-09       Impact factor: 4.794

9.  Use of VA and Medicare services by dually eligible veterans with psychiatric problems.

Authors:  Kathleen Carey; Maria E Montez-Rath; Amy K Rosen; Cindy L Christiansen; Susan Loveland; Susan L Ettner
Journal:  Health Serv Res       Date:  2008-03-17       Impact factor: 3.402

10.  Regional data exchange to improve care for veterans after non-VA hospitalization: a randomized controlled trial.

Authors:  Brian E Dixon; Ashley L Schwartzkopf; Vivian M Guerrero; Justine May; Nicholas S Koufacos; Andrew M Bean; Joan D Penrod; Cathy C Schubert; Kenneth S Boockvar
Journal:  BMC Med Inform Decis Mak       Date:  2019-07-04       Impact factor: 2.796

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  2 in total

1.  Effect of Health Information Exchange Plus a Care Transitions Intervention on Post-Hospital Outcomes Among VA Primary Care Patients: a Randomized Clinical Trial.

Authors:  Kenneth S Boockvar; Nicholas S Koufacos; Justine May; Ashley L Schwartzkopf; Vivian M Guerrero; Kimberly M Judon; Cathy C Schubert; Emily Franzosa; Brian E Dixon
Journal:  J Gen Intern Med       Date:  2022-02-23       Impact factor: 5.128

2.  Impact of event notification services on timely follow-up and rehospitalization among primary care patients at two Veterans Affairs Medical Centers.

Authors:  Brian E Dixon; Kimberly M Judon; Ashley L Schwartzkopf; Vivian M Guerrero; Nicholas S Koufacos; Justine May; Cathy C Schubert; Kenneth S Boockvar
Journal:  J Am Med Inform Assoc       Date:  2021-11-25       Impact factor: 4.497

  2 in total

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