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Volume of Home- and Community-Based Medicaid Waiver Services and Risk of Hospital Admissions

Authors

  • Huiping Xu PhD,

    1. From the *Department of Mathematics and Statistics, Mississippi State University, Mississippi State, Mississippi; Center for Aging Research, §School of Medicine, Indiana University, Indianapolis, Indiana; Regenstrief Institute Inc., Indianapolis, Indiana; Department of Statistics, #Regenstrief Center for Healthcare Engineering, Center for Health Outcomes Research and Policy, **Department of Pharmacy Practice, and ‡‡School of Nursing, Purdue University, West Lafayette, Indiana; and ††Office of Medicaid Policy and Planning, Indianapolis, Indiana.
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  • Michael Weiner MD,

    1. From the *Department of Mathematics and Statistics, Mississippi State University, Mississippi State, Mississippi; Center for Aging Research, §School of Medicine, Indiana University, Indianapolis, Indiana; Regenstrief Institute Inc., Indianapolis, Indiana; Department of Statistics, #Regenstrief Center for Healthcare Engineering, Center for Health Outcomes Research and Policy, **Department of Pharmacy Practice, and ‡‡School of Nursing, Purdue University, West Lafayette, Indiana; and ††Office of Medicaid Policy and Planning, Indianapolis, Indiana.
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  • Sudeshna Paul MS,

    1. From the *Department of Mathematics and Statistics, Mississippi State University, Mississippi State, Mississippi; Center for Aging Research, §School of Medicine, Indiana University, Indianapolis, Indiana; Regenstrief Institute Inc., Indianapolis, Indiana; Department of Statistics, #Regenstrief Center for Healthcare Engineering, Center for Health Outcomes Research and Policy, **Department of Pharmacy Practice, and ‡‡School of Nursing, Purdue University, West Lafayette, Indiana; and ††Office of Medicaid Policy and Planning, Indianapolis, Indiana.
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  • Joseph Thomas III, PhD,

    1. From the *Department of Mathematics and Statistics, Mississippi State University, Mississippi State, Mississippi; Center for Aging Research, §School of Medicine, Indiana University, Indianapolis, Indiana; Regenstrief Institute Inc., Indianapolis, Indiana; Department of Statistics, #Regenstrief Center for Healthcare Engineering, Center for Health Outcomes Research and Policy, **Department of Pharmacy Practice, and ‡‡School of Nursing, Purdue University, West Lafayette, Indiana; and ††Office of Medicaid Policy and Planning, Indianapolis, Indiana.
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  • Bruce Craig PhD,

    1. From the *Department of Mathematics and Statistics, Mississippi State University, Mississippi State, Mississippi; Center for Aging Research, §School of Medicine, Indiana University, Indianapolis, Indiana; Regenstrief Institute Inc., Indianapolis, Indiana; Department of Statistics, #Regenstrief Center for Healthcare Engineering, Center for Health Outcomes Research and Policy, **Department of Pharmacy Practice, and ‡‡School of Nursing, Purdue University, West Lafayette, Indiana; and ††Office of Medicaid Policy and Planning, Indianapolis, Indiana.
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  • Marc Rosenman MD,

    1. From the *Department of Mathematics and Statistics, Mississippi State University, Mississippi State, Mississippi; Center for Aging Research, §School of Medicine, Indiana University, Indianapolis, Indiana; Regenstrief Institute Inc., Indianapolis, Indiana; Department of Statistics, #Regenstrief Center for Healthcare Engineering, Center for Health Outcomes Research and Policy, **Department of Pharmacy Practice, and ‡‡School of Nursing, Purdue University, West Lafayette, Indiana; and ††Office of Medicaid Policy and Planning, Indianapolis, Indiana.
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  • Caroline Carney Doebbeling MD, MSc,

    1. From the *Department of Mathematics and Statistics, Mississippi State University, Mississippi State, Mississippi; Center for Aging Research, §School of Medicine, Indiana University, Indianapolis, Indiana; Regenstrief Institute Inc., Indianapolis, Indiana; Department of Statistics, #Regenstrief Center for Healthcare Engineering, Center for Health Outcomes Research and Policy, **Department of Pharmacy Practice, and ‡‡School of Nursing, Purdue University, West Lafayette, Indiana; and ††Office of Medicaid Policy and Planning, Indianapolis, Indiana.
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  • Laura P. Sands PhD

    1. From the *Department of Mathematics and Statistics, Mississippi State University, Mississippi State, Mississippi; Center for Aging Research, §School of Medicine, Indiana University, Indianapolis, Indiana; Regenstrief Institute Inc., Indianapolis, Indiana; Department of Statistics, #Regenstrief Center for Healthcare Engineering, Center for Health Outcomes Research and Policy, **Department of Pharmacy Practice, and ‡‡School of Nursing, Purdue University, West Lafayette, Indiana; and ††Office of Medicaid Policy and Planning, Indianapolis, Indiana.
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Address correspondence to Laura P. Sands, Purdue University, 502 N. University Street, West Lafayette, IN 47907. E-mail: lsands@purdue.edu

Abstract

OBJECTIVES: To evaluate whether type and volume of Medicaid Home- and Community-Based Services (HCBS) waiver program are associated with risk of hospitalization and whether this association changes over time.

DESIGN: Prospective.

SETTING: Indiana Medicaid claims data from June 2001 to December 2004.

PARTICIPANTS: Medicaid recipients (N=1,354) who enrolled in the Aged and Disabled waiver program between January 2002 and June 2004.

MEASUREMENTS: Time to hospital admission since enrollment in the HCBS waiver program, adjusted for demographics, comorbidities, prior use of health services, and volume of HCBS received, including attendant care, homemaking, and home-delivered meals.

RESULTS: A greater volume of attendant care, homemaking services, and home-delivered meals was associated with a lower risk of hospitalization. This effect diminished over time for attendant care and homemaking. The risk of hospitalization for subjects receiving 5 hours of attendant care per month was 54% (hazard ratio (HR)=0.46, 95% confidence interval (CI)=0.38–0.57) lower during the first month of enrollment and 20% lower by Month 10 (HR=0.80, 95% CI=0.73–0.88) than for those receiving no attendant care.

CONCLUSION: Greater volume of HCBS services was associated with lower risk of hospitalization. The findings highlight the potential importance of assessing and monitoring the volume of HCBS patients receive.

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