Preventable Acute Care Spending for High-Cost Patients Across Payer Types

Peter F. Graven, Thomas H.A. Meath, Aaron Mendelson, Benjamin K.S. Chan, David A. Dorr, K. John McConnell

Abstract


Background: Healthcare expenditures are shown to concentrate in a small percentage of individuals. Many of these expenditures are thought to be preventable. Programs have developed to target high-cost individuals with the goal of reducing cost. Two of the underlying assumptions of these programs, degree of persistence and share of preventability costs, have lacked rigorous empirical research to inform payers about the general prospects.   The purpose of the study is to quantify preventable expenditures among high-cost individuals across three plan types (Medicaid, Medicare Advantage, and commercial insurance plans) in Oregon.

 

Methods: A retrospective longitudinal analysis of claims data was conducted. Shares of acute care expenditures considered preventable were calculated for non-high cost, episodically high cost, and persistently high cost patients. The results are shown for 74,717 Medicaid, 768,865 commercially insured, and 158,503 Medicare Advantage adults from Oregon using data from 2011 to 2013 data from the State of Oregon’s All Payer All Claims (APAC) database and Medicaid data from the Oregon Health Authority.

 

Results: In 2012, high cost patients account for 61.8% of Medicaid, 69.1% of commercial, and 60.0% of Medicare Advantage inpatient expenditures. Preventable inpatient expenditures accounted for 11.8%, 4.6%, and 10.0% of inpatient spending for persistently high cost patients in Medicaid, commercial and Medicare Advantage programs. Rates of preventable ED spending for persistently high cost patients in the Medicaid, commercial, and Medicare Advantage programs were 44.7%, 38%, and 34.1% respectively. Mean reversion led to declines of 11%, 25.6%, and 30.6% in the third year of spending among persistently high cost patients in the Medicaid, commercial, and Medicare Advantage programs.

 

Conclusions: Potentially preventable health care spending for high cost patients accounted for less than 6% of total spending. More evidence is needed to support programs that target super-utilizers, as opposed to disease-conditions, as a way of reducing total health care spending.


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References


“A Revolutionary Approach to Improving Health Care Delivery.” RWJF. Accessed April 6, 2015. http://www.rwjf.org/en/library/articles-and-news/2014/02/improving-management-of-health-care-superutilizers.html.

Ballard, Dustin W., Mary Price, Vicki Fung, Richard Brand, Mary E. Reed, Bruce Fireman, Joseph P. Newhouse, Joseph V. Selby, and John Hsu. “Validation of an Algorithm for Categorizing the Severity of Hospital Emergency Department Visits:” Medical Care 48, no. 1 (January 2010): 58–63.

Bell, Janice F., Antoinette Krupski, Jutta M. Joesch, Imara I. West, David C. Atkins, Beverly Court, David Mancuso, and Peter Roy-Byrne. “A Randomized Controlled Trial of Intensive Care Management for Disabled Medicaid Beneficiaries with High Health Care Costs.” Health Services Research, November 1, 2014, n/a – n/a. doi:10.1111/1475-6773.12258.

Billings, John, and Tod Mijanovich. “Improving The Management Of Care For High-Cost Medicaid Patients.” Health Affairs 26, no. 6 (November 1, 2007): 1643–54. doi:10.1377/hlthaff.26.6.1643.

BIllings, J., N. Parikh, and T. Mijanovich. “Emergency Department Use in New York City: A Survey of Bronx Patients. Issue Brief.” Commonwealth Fund, 2000.

Boscardin, Christy K., Ralph Gonzales, Kent L. Bradley, and Maria C. Raven. “Predicting Cost of Care Using Self-Reported Health Status Data.” BMC Health Services Research 15, no. 1 (September 23, 2015): 406. doi:10.1186/s12913-015-1063-1.

Carlin, Caroline S., Bryan Dowd, and Roger Feldman. “Changes in Quality of Health Care Delivery after Vertical Integration.” Health Services Research, 2014, n/a – n/a. doi:10.1111/1475-6773.12274.

Cohen, S.B., and W. Yu. “The Concentration and Persistence in the Level of Health Expenditures over Time: Estimates for the US Population, 2008-2009.” Statistics Brief 354, 2011.

Coughlin, Teresa A., and Sharon K. Long. “Health Care Spending and Service Use among High-Cost Medicaid Beneficiaries, 2002-2004.” Inquiry: A Journal of Medical Care Organization, Provision and Financing 46, no. 4 (2010 Winter 2009): 405–17.

Dartmouth Atlas of Health Care. “Total Medicare Reimbursements per Enrollee, by Adjustment Type, 2012,” 2012. http://www.dartmouthatlas.org/.

Hirth, Richard A., Teresa B. Gibson, Helen G. Levy, Jeffrey A. Smith, Sebastian Calónico, and Anup Das. “New Evidence on the Persistence of Health Spending.” Medical Care Research and Review 72, no. 3 (June 1, 2015): 277–97. doi:10.1177/1077558715572387.

Johnson, Tracy L., Deborah J. Rinehart, Josh Durfee, Daniel Brewer, Holly Batal, Joshua Blum, Carlos I. Oronce, Paul Melinkovich, and Patricia Gabow. “For Many Patients Who Use Large Amounts Of Health Care Services, The Need Is Intense Yet Temporary.” Health Affairs 34, no. 8 (August 1, 2015): 1312–19. doi:10.1377/hlthaff.2014.1186.

Joynt KE, Gawande AA, Orav E, and Jha AK. “Contribution of Preventable Acute Care Spending to Total Spending for High-Cost Medicare Patients.” JAMA 309, no. 24 (June 26, 2013): 2572–78.

Kaiser Family Foundation. “Medicare Advantage Enrollees as a Percent of Total Medicare Population.” Accessed March 17, 2015. http://kff.org/medicare/state-indicator/enrollees-as-a-of-total-medicare-population/.

Mann, Cindy. “Targeting Medicaid Super-Utilizers to Decrease Costs and Improve Quality of Care.,” 2013. www.medicaid.gov/federal-policy-guidance/downloads/CIB-07-24-2013.pdf.

Oregon Health Authority. “All Payer All Claims Reporting Program.” Accessed February 3, 2015. http://www.oregon.gov/oha/ohpr/rsch/pages/apac.aspx.

Pines, Jesse M., Ryan L. Mutter, and Mark S. Zocchi. “Variation in Emergency Department Admission Rates Across the United States.” Medical Care Research and Review 70, no. 2 (April 1, 2013): 218–31. doi:10.1177/1077558712470565.

“Prevention Quality Indicators Overview.” Agency for Healthcare Research and Quality. Accessed February 21, 2015. http://www .qualityindicators.ahrq.gov/modules/pqi_overview .aspx.

Raven MC, Lowe RA, Maselli J, and Hsia RY. “COmparison of Presenting Complaint vs Discharge Diagnosis for Identifying ‘ Nonemergency’ Emergency Department Visits.” JAMA 309, no. 11 (March 20, 2013): 1145–53. doi:10.1001/jama.2013.1948.

Sabbatini, Amber K., Brahmajee K. Nallamothu, and Keith E. Kocher. “Reducing Variation In Hospital Admissions From The Emergency Department For Low-Mortality Conditions May Produce Savings.” Health Affairs 33, no. 9 (September 1, 2014): 1655–63. doi:10.1377/hlthaff.2013.1318.

Schuur, Jeremiah D., and Arjun K. Venkatesh. “The Growing Role of Emergency Departments in Hospital Admissions.” New England Journal of Medicine 367, no. 5 (July 11, 2012): 391–93. doi:10.1056/NEJMp1204431.

Smulowitz, P. B., R. Lipton, J. F. Wharam, L. Adelman, S. G. Weiner, L. Burke, C. W. Baugh, et al. “Emergency Department Utilization After the Implementation of Massachusetts Health Reform.” Ann Emerg Med, May 11, 2011. doi:10.1016/j.annemergmed.2011.02.020.

Sommers, Anna S. “Medicaid’s High Cost Enrollees: How Much Do They Drive Program Spending?” Kaiser Family Foundation, 2006. http://kff.org/medicaid/issue-brief/medicaids-high-cost-enrollees-how-much-do/.

“States Focus on ‘Super-Utilizers’ to Reduce Medicaid Costs.” The Pew Charitable Trust. Accessed March 8, 2015. http://bit.ly/1tMg190.

The Robert Wood Johnson Foundation. “Better Care for Super-Utilizers.” Accessed March 14, 2015. http://www.rwjf.org/en/about-rwjf/newsroom/series/super-utilizers.html.

“Treating Super Utilizers in Rural Pennsylvania.” RWJF. Accessed April 8, 2015. http://www.rwjf.org/en/library/articles-and-news/2013/09/treating-superusers-in-rural-pennsylvania.html.


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