Regular Articles

The Journal of Behavioral Health Services & Research

, Volume 29, Issue 4, pp 419-432

The resident assessment instrument-mental health (RAI-MH): Inter-rater reliability and convergent validity

  • John P. HirdesAffiliated withHomewood Research InstituteDepartment of Health Studies and Gerontology, University of Waterloo Email author 
  • , Trevor F. SmithAffiliated withDepartment of Health Studies and Gerontology, University of Waterloo
  • , Terry RabinowitzAffiliated withPsychiatric Consultation Service, Fletcher Allan Health Care
  • , Keita YamauchiAffiliated withFaculty of Nursing and Medical Care, Keio University
  • , Edgardo PérezAffiliated withHomewood Health Centre
  • , Nancy Curtin TelegdiAffiliated withHomewood Research Institute
  • , Peter PrendergastAffiliated withMinistry of Health
  • , John N. MorrisAffiliated withHRCA Research and Training Institute, Hebrew Rehabilitation Center for the Aged
  • , Naoki IkegamiAffiliated withDepartment of Health Policy and Management, Keio University School of Medicine
    • , Charles D. PhillipsAffiliated withHomewood Research InstituteHealth Policy and ManagementHealth Services Research Program, School of Rural Public Health, Texas A&M University System Health Center
    • , Brant E. FriesAffiliated withHomewood Research InstituteInstitute of Gerontology, University of MichiganHealth Systems Research, Ann Arbor VA GRECC

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Abstract

An important challenge facing behavioral health services is the lack of good quality, clinically relevant data at the individual level. The article describes a multinational research effort to develop a comprehensive, multidisciplinary mental health assessment system for use with adults in facilities providing acute, long-stay, forensic, and geriatric services. The Resident Assessment Instrument-Mental Health (RAI-MH) comprehensively assesses psychiatric, social, environmental, and medical issues at intake, emphasizing patient functioning. Data from the RAI-MH are intended to support care planning, quality improvement, outcome measurement, and case mix-based payment systems. The article provides the first set of evidence on the reliability and validity of the RAI-MH.