Empirical-Based Typology of Health Care Utilization by Medicare Eligible Veterans
Corresponding Author
Mary Vaughan Sarrazin Ph.D.
Iowa City VA Health Care System, Iowa City, IA
Department of Internal Medicine, University of Iowa, Iowa City, IA
Address correspondence to Mary Vaughan Sarrazin, Ph.D., Iowa City VA Health Care System (152), 601 Highway 6 West, Iowa City, IA 52246, and Department of Internal Medicine, University of Iowa, Iowa City, IA; e-mail: [email protected].Search for more papers by this authorGary E. Rosenthal M.D., F.A.C.P.
Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC
Search for more papers by this authorCarolyn L. Turvey Ph.D.
Comprehensive Access and Delivery Research and Evaluation (CADRE), Iowa City VA Health Care System, Iowa City, IA
Department of Psychiatry, University of Iowa, Iowa City, IA
Search for more papers by this authorCorresponding Author
Mary Vaughan Sarrazin Ph.D.
Iowa City VA Health Care System, Iowa City, IA
Department of Internal Medicine, University of Iowa, Iowa City, IA
Address correspondence to Mary Vaughan Sarrazin, Ph.D., Iowa City VA Health Care System (152), 601 Highway 6 West, Iowa City, IA 52246, and Department of Internal Medicine, University of Iowa, Iowa City, IA; e-mail: [email protected].Search for more papers by this authorGary E. Rosenthal M.D., F.A.C.P.
Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC
Search for more papers by this authorCarolyn L. Turvey Ph.D.
Comprehensive Access and Delivery Research and Evaluation (CADRE), Iowa City VA Health Care System, Iowa City, IA
Department of Psychiatry, University of Iowa, Iowa City, IA
Search for more papers by this authorAbstract
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.
Supporting Information
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hesr12995-sup-0001-AppendixSA1.pdfPDF document, 130.8 KB | Appendix SA1: Author Matrix. |
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References
- Beeber, A. S., J. M. Thorpe, and E. C. Clipp. 2008. “Community-Based Service Use by Elders with Dementia and Their Caregivers: A Latent Class Analysis.” Nursing Research 57 (5): 312–21.
- Bonito, A. J., C. Bann, C. Eicheldinger, and L. Carpenter. 2008. “ Creation of New Race-Ethnicity Codes and Socioeconomic Status (SES) Indicators for Medicare Beneficiaries.” RTI International report for the Agency for Healthcare Research and Quality (AHRQ) and the Centers for Medicare and Medicaid Services (CMS) under CMS contract No 500-00-0024. Available at http://www.ahrq.gov/research/findings/final-reports/medicareindicators/index.html
- Burgess, J. F., M. L. Maciejewski, C. L. Bryson, M. Chapko, J. Fortney, M. Perkins, N. D. Sharp, and C. F. Liu. 2011. “Importance of Health Sector Context for Evaluation Utilization Patterns across Sectors.” Journal of Health Economics 20 (2): 239–51.
- Cadigan, J. M., A. K. Klanecky, and M. P. Martens. 2017. “An Examination of Alcohol Risk Profiles and Co-Occurring Mental Health Symptoms among OEF/OIF Veterans.” Addictive Behaviors 70: 54–60.
- Cho, J., E. M. Stock, I. C. Liao, J. E. Zeber, B. K. Ahmedani, R. Basu, C. C. Quinn, and L. A. Copeland. 2017. “Multiple Chronic Condition Profiles and Survival among Oldest-Old Male Patients with Hip Fracture.” Archives of Gerontology and Geriatrics 74: 184–90.
- Collins, L. M., and S. T. Lanza. 2010. Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences. Hoboken, NJ: John Wiley & Sons Inc.
- Collins, L. M., P. L. Fidler, S. E. Wugalter, and J. L. Long. 1993. “Goodness-of-Fit Testing for Latent Class Models.” Multivariate Behavioral Research 28: 375–89.
- Deb, P., and P. K. Triveki. 2002. “The Structure of Demand for Health Care: Latent Class Versus Two-Part Models.” Journal of Health Economics 21: 601–25.
- Dziak, J. J., D. L. Coffman, S. T. Lanza, and R. Li. 2012. “ Sensitivity and Specificity of Information Criteria: Technical Report Series #12-119.” Methodology Center and College of Health and Human Development, Penn State, State College, PA [accessed on January 2, 2018]. Available at https://methodology.psu.edu/media/techreports/12-119.pdf
- Funderburk, J. S., S. A. Maisto, D. E. Sugarman, and M. Wade. 2008. “The Covariation of Multiple Risk Factors in Primary Care: A Latent Class Analysis.” Journal of Behavioral Medicine 31: 525–35.
- Hastings, S. N., C. Horney, L. R. Landerman, L. L. Sanders, M. B. Hocker, and K. E. Schmader. 2010. “Exploring Patterns of Health Service Use in Older Emergency Department Patients.” Academic Emergency Medicine 17 (10): 1086–92.
- Hong, S. I. 2010. “Understanding Patterns of Service Utilization among Informal Caregivers of Community Older Adults.” Gerontologist 50 (1): 87–99.
- Humensky, J., H. Caretta, K. deGroot, M. M. Brown, E. Tarlov, and D. M. Hynes. 2012. “Service Utilization of Veterans Dually Eligible for VA and Medicare Fee-for-Service: 1999–2004.” Medicare & Medicaid Research Review 2 (3): E1–E22.
10.5600/mmrr.002.03.A06 Google Scholar
- Hynes, D. M., K. Koelling, K. Stroupe, N. Arnold, K. Mallin, M. W. Sohn, F. M. Weaver, L. Manheim, and L. Kok. 2007. “Veterans' Access to and Use of Medicare and Veterans Affairs Health Care.” Medical Care 45: 214–23.
- Jia, H., Y. Zheng, D. M. Reker, D. C. Cowper, S. S. Wu, W. B. Vogel, G. C. Young, and P. W. Duncan. 2007. “Multiple System Utilization and Mortality for Veterans with Stroke.” Stroke: A Journal of Cerebral Circulation 38: 355–60.
- Lanza, S. T., L. M. Collins, D. R. Lemmon, and J. L. Schafer. 2007. “PROC LCA: A SAS Procedure for Latent Class Analysis.” Structural Equation Modeling 14 (4): 671–94.
- Liu, C. F., C. Bolkan, D. Chan, E. M. Yano, L. V. Rubenstein, and E. F. Chaney. 2009. “Dual Use of VA and Non-VA Services among Primary Care Patients with Depression.” Journal of General Internal Medicine 24 (3): 305–11.
- Liu, C. F., M. Chapko, C. L. Bryson, J. E. Burgess, J. C. Fortnery, M. Perkins, S. M. Sharp, and M. L. Maciejewski. 2010. “Use of Outpatient Care in Veterans Health Administration and Medicare among Veterans Receiving Primary Care in Community Based and Hospital Outpatient Clinics.” Health Services Research 45 (5): 2368–85.
- Liu, J. H., W. G. Manning, J. F. Burgess, P. L. Hebert, C. L. Bryson, J. Fortney, M. Perkins, N. D. Sharp, and M. L. Maciejewski. 2011a. “Reliance on Veterans Affairs Outpatient Care by Medicare-Eligile Veterans.” Medical Care 49: 911–7.
- Liu, J. H., W. G. Manning, J. F. Burgess, P. L. Hebert, C. L. Bryson, J. Fortney, M. Perkins, N. D. Sharp, and M. L. Maciejewski. 2011b. “Reliance on Veterans Affairs Outpatient Care by Medicare-Eligile Veterans.” Medical Care 49 (10): 911–7.
- Phibbs, C. S., P. B. Barnett, and A. Fan. 2015. Research Guide to the Managerial Cost Accounting National Cost Extracts. Guidebook. Menlo Park, CA: VA Palo Alto, Health Economics Resource Center.
- Radomski, T. R., X. Zhao, C. T. Thorpe, J. M. Thorpe, C. B. Good, M. K. Mor, M. J. Fine, and W. F. Gellad. 2016. “VA and Medicare Utilization among Dually Enrolled Veterans with Type 2 Diabetes: A Latent Class Analysis.” Journal of General Internal Medicine 31 (5): 524–31.
- Research Triangle Institute. 2008. “ RTI Analysis of Special Needs Plan Chronic Condition Panel: Final Report.” North Carolina: Research Triangle Park.
- Richardson, J. D., F. Ketcheson, L. King, P. Schnaider, M. Marlborough, A. Thompson, and J. D. Elhai. 2017. “Psychiatric Comorbidity Pattern in Treatment-Seeking Veterans.” Psychiatry Research 258: 488–93.
- Ried, L. D., R. Cameon, H. Jia, K. Findley, M. S. Hinojosa, X. Wang, and M. J. Tueth. 2007. “Identifying Veterans with Acute Strokes with High-Specificity ICD-9 Algorithm with VA Automated Records and Medicare Claims Data: A More Complete Picture.” Journal of Rehabilitation Research and Development 44 (5): 665–73.
- Shen, Y., P. A. Findley, M. Maney, L. Pogach, S. Crystal, M. Rajan, and T. W. Findley. 2008. “Department of Veterans Affairs-Medicare Dual Beneficiaries with Stroke: Where Do They Get Care?” Journal of Rehabilitation Research and Development 45 (1): 43–51.
- Trivedi, A. N., R. C. Grebla, L. Jiang, J. Yoon, V. Mor, and K. W. Kizer. 2012. “Duplicate Federal Payments for Dual Enrollees in Medicare Advantage Plans and the Veterans Affairs Health Care System.” Journal of the American Medical Association 308 (1): 67–72.
- U.S. Department of Agriculture. 2015. Rural-Urban Commuting Area Codes. Washington DC: Economic Research Service [accessed on August 20, 2017]. Available at http://www.ers.usda.gov/data-products/rural-urban-commuting-area-codes.aspx
- U.S. Department of Veterans Affairs. 2011. 2011 Survey of Veteran Enrollees' Health and Reliance upon VA. Washington, DC: Veterans Health Administration.
- U.S. Department of Veterans Affairs. 2015. “ System of Records Notice 97VA10P1: Consolidated Data Information System-VA.” 76 FR 25409. May 4, 2011.
- U.S. Department of Veterans Affairs. 2016. “ VHA Directive 1153: Access to Centers for Medicare and Medicaid Services (CMS) and United States Renal Data System (USRDS) Data for Veterans Health Administration (VHA) Users within the Department of Veterans Affairs (VA) Information Technology (IT) Systems.”
- VIReC. 2015a. VIReC Research User Guide: Fiscal Year 2014 VHA Medical SAS Inpatient Datasets, 2d Edition. Hines, IL: U.S. Department of Veterans Affairs Health Services Research & Development Service, VA Information Resource Center.
- VIReC. 2015b. VIReC Research User Guide: Fiscal Year 2014 VHA Medical SAS Outpatient Datasets and Inpatient Encounters Dataset. Hines, IL: U.S. Department of Veterans Affairs Health Services Research and Development Service, VA Information Resource Center.
- Weeks, W. B., P. J. Mahar, and S. M. Wright. 2005. “Utilization of VA and Medicare Services by Medicare-Eligible Veterans: The Impact of Additional Access Points in a Rural Setting.” Journal of Healthcare Management and American College of Healthcare Executives 50 (2): 95–106.
- Wolinsky, F. D., H. An, L. Liu, T. R. Miller, and G. E. Rosenthal. 2006. “Dual Use of Medicare and the Veterans Health Administration: Are There Adverse Health Oucomes?” BMC Health Services Research 6: 131.
- Wolinsky, F. D.H. An, L. Liu, T. R. Miller, and G. E. Rosenthal. 2007. “Exploring the Association of Dual Use of the VHA and Medicare with Mortality: Separating the Contributions of Inpatient and Outpatient Services.” BMC Health Services Research 7: 70.
- Yoon, J., D. E. Rose, I. Canelo, A. S. Upadhyay, G. Schectman, R. Stark, L. Rubenstein, and E. M. Yano. 2013. “Medical Home Features of VHA Primary Care Clinics and Avoidable Hospitalizations.” Journal of General Internal Medicine 28 (9): 1188–94.