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Impact of Medicaid reimbursement on mental health quality indicators

Nicole M Bellows1, Helen A Halpin

  • 1Center for Health and Public Policy Studies, University of California, Berkeley, 140 Warren Hall #7360, Berkeley, CA 94720-7360, USA.

Abstract

Insights

Nursing facility reimbursement using the Minimum Data Set (MDS) correlated with worse mental health quality indicators. This suggests economic incentives may impact mental health documentation, cautioning against pay-for-performance initiatives.

Area of Science:

  • Health Services Research
  • Gerontology
  • Health Economics

Background:

  • The Minimum Data Set (MDS) is crucial for nursing facility reimbursement.
  • Quality Indicators (QIs) derived from MDS assess resident care.
  • The impact of reimbursement policies on mental health documentation requires investigation.

Purpose of the Study:

  • To investigate the association between MDS-based Medicaid reimbursement and mental health Quality Indicators in nursing facilities.
  • To determine if economic incentives influence the reporting of mental health symptoms.

Main Methods:

  • Utilized 2004 National MDS Quality Indicator reports as dependent variables.
  • Employed 2004 Online Survey Certification and Reporting (OSCAR) system data and State Medicaid Plans for explanatory variables.
  • Applied multilevel regression models to analyze linked MDS, OSCAR, and state-level data.

Main Results:

  • MDS use for Medicaid reimbursement was linked to higher (poorer) scores on all four mental health QIs.
  • This association was not observed for four non-mental health comparison QIs.
  • Findings suggest potential influence of financial incentives on mental health symptom documentation.

Conclusions:

  • Economic incentives tied to MDS may inadvertently affect the documentation of nursing facility residents' mental health.
  • Policymakers should exercise caution when using these MDS-derived measures for pay-for-performance initiatives.
  • Further research is needed to understand the complex interplay between reimbursement and quality measurement in long-term care.

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