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  • Portion of Table 3: Multivariate Regression Models for Private Payer Price
  • Portion of Table 3: Multivariate Regression Models for Private Payer Price
  • Portion of Table 4: Multivariate Regression Models for Private Payer Price Accounting for Ownership Status
  • Portion of Table 4: Multivariate Regression Models for Private Payer Price Accounting for Ownership Status

Vivian Ho Vivian Ho Presentation Transcript

    Vivian Ho, Jerome Dugan, and Meei-Hsiang Ku-Goto
    Rice University
    Baker Institute for Public Policy and Department of Economics
  • Introduction
    Cost shifting occurs when providers raise prices to one group of payers in response to another group’s paying lower prices (M. A. Morrisey 1994).
    Public perception that rising number of uninsured patients is leading to higher premiums for those who are privately insured (Washington Post, St. Louis Post-Dispatch, Houston Chronicle)
    Reductions in Medicaid and Medicare reimbursement rates may have led to higher private insurance premiums.
  • Previous Theoretical Literature
    Cost shifting ruled out if hospitals maximize profits (Morrisey 1994; Frakt 2010)
    Ppublic payer↓ -> Qpublic ↓ , Pprivate ↓
    Cost shifting occurs if hospitals maximize utility.
    U = U ( π , patient volume or quality)
    ability to cost shift depends on market hospital power wrt insurers and mix of private pay versus public pay patients.
  • Previous Empirical Literature
    6 studies employ regression methods: Are reductions in Medicare/Medicaid payments, or increases in uninsured care associated with increases in prices charged to private pay patients?
    4 of 6 studies find cuts in Medicare or Medicaid lead to higher private pay payments.
    4 of 6 studies are based on data from California, which had data to estimate price per discharge.
  • Previous Empirical Literature
    Past regression-based studies do not explicitly consider hospital revenues from the uninsured and self-pay patients.
    Price estimates in previous studies may be subject to measurement error.
    2 of the 6 studies use data from Medicare cost reports, which only distinguish Medicare revenue from non-Medicare revenue.
    "Private pay revenue" includes payments from Medicaid, self-pay, and uninsured patients.
  • Previous Empirical Literature
    Dranove & White (1998) estimate an overall private price by applying a fixed market basket to prices from 10 different cost centers for each hospital.
    But hospitals may vary widely in revenues by cost center (e.g. surgical intensive care vs. diagnostic radiology).
    Zwanziger et al (2000) account for both inpatient and outpatient care when estimating prices, but must aggregate over the 2.
    Cutler (1998) and Wu (2010) instrument for reductions in Medicare price using (reduced) updates to DRG reimbursement rates.
  • Previous Empirical Literature
    This paper replicates analyses from previous papers using Texas data.
    25.2% of population uninsured in TX, compared w/ 18.5% in CA
    Relating private pay price to prices of other payers.
    Zwanziger et al (2000 & 2006), Wu (2010).
    But we explicitly consider the uninsured.
  • Data
    2000-2007 versions of the American Hospital Association annual survey
    Contains net revenue by payer type, which is not reported in the national AHA survey.
    Payer types: private pay, Medicare, Medicaid, uninsured/self-pay.
    The state and local governments provide substantial subsidies to hospitals to care for uninsured and under-insured patients.
    Upper Payment Limit (UPL) funds paid by federal gov’t to bring Medicaid prices up to level of Medicare payments.
    Both these payment categories included in uninsured/self-pay.
  • Data
    Medicaid DSH payments reported separately, but could be allocated to either Medicaid or uncompensated care.
    Hospital expenses are not reported by payer type.
    Texas hospital discharge data is used to sum charges by payer type and adjusted to reflect costs using the cost-to-charge ratio for each hospital and year.
    The DRG weight for each hospital discharge is obtained from the state and averaged by hospital to create a case mix index.
  • Empirical Models
    Private pay price (revenue/discharges) regressed on:
    Medicare price
    Medicaid price
    Uninsured/Self-pay price
    Cost per patient
    casemix (quadratic)
    county HHI index (based on bedsize, quadratic)
    county managed care penetration (quadratic)
    year fixed effects
  • Empirical Models
  • Empirical Models
    Estimates w/ and w/o hospital fixed effects.
    Regressions include either hospital fixed effects, or first-differencing w/in hospitals.
    Additional specification interacts prices & ownership status
  • Mean Hospital Revenue by Payer Type
  • Regression Models for Private Payer Price
  • Regression Models for Private Payer Price (cont.)
  • Bargaining Power
    Wu: Hospitals w/ large private payer volumes may be better able to cost shift onto private payers.
    Wu’s measure of bargaining power
    More appropriate measure may be
  • Regression also includes Casemix, HHI, and Managed care penetration in quadratic form, year dummies, and a constant.
  • Conclusions & Future Work
    Very little evidence of cost shifting to private payers from either government sources or the uninsured in Texas.
    Further research on the DSH payments and payments for uninsured/self-pay care.
    Identify better measures of hospital and insurance market competition.
  • Conclusions & Future Work
    Cutler (1998) tests for effects of Medicare price cuts on:
    Hospital closures*
    Change in beds
    FTE RNs and LPNs*
    Cardiac services (PCI, cardiac cath, CABG)
    Diagnostic radiology (CT, MRI, PET, SPECT)