Time to nursing home admission for persons with Alzheimer's disease: the effect of health care system characteristics

J Gerontol B Psychol Sci Soc Sci. 1998 Nov;53(6):S341-53. doi: 10.1093/geronb/53b.6.s341.

Abstract

Objective: To study the influence of state health care system characteristics on time to nursing home admission (NHA) for persons with Alzheimer's disease (AD).

Method: Up to nine years of Consortium to Establish a Registry for Alzheimer's Disease (CERAD) data on 639 non-Latino White individuals were merged with longitudinal data from the 28 states in which the CERAD participants resided. The state variables reflected characteristics of each state's long-term care (LTC) system, including Medicaid LTC spending practices and the supply of LTC providers. Cox Proportional Hazards Models with time-varying covariates were used to evaluate the risk factors associated with time to NHA.

Results: There was differential influence of state variables by marital status. For unmarried non-Latino White persons with AD, a higher percentage of Medicaid LTC spending on home and community-based services (HCBS) was significantly associated with a longer time to NHA. For married persons, a greater number of home health agencies was associated with a longer time to NHA. Other associations also varied by marital status.

Conclusion: Study findings support the utility of targeted continued expanded provision of HCBS by states and provide a basis for future research regarding the impact of changing state health care systems on LTC utilization for persons with AD.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Aged
  • Alzheimer Disease*
  • Cohort Studies
  • Community Health Services / economics
  • Databases as Topic
  • Delivery of Health Care* / economics
  • Evaluation Studies as Topic
  • Female
  • Home Care Services / economics
  • Humans
  • Long-Term Care / economics
  • Longitudinal Studies
  • Male
  • Marital Status
  • Medicaid / economics
  • Nursing Homes*
  • Patient Admission*
  • Proportional Hazards Models
  • Prospective Studies
  • Registries
  • Risk Factors
  • Time Factors
  • United States