Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2011 Feb;46(1 Pt 1):82-104.
doi: 10.1111/j.1475-6773.2010.01170.x. Epub 2010 Sep 17.

Predictors of nursing home residents' time to hospitalization

Affiliations

Predictors of nursing home residents' time to hospitalization

A James O'Malley et al. Health Serv Res. 2011 Feb.

Abstract

Objectives: To model the predictors of the time to first acute hospitalization for nursing home residents, and accounting for previous hospitalizations, model the predictors of time between subsequent hospitalizations.

Data sources: Merged file from New York State for the period 1998-2004 consisting of nursing home information from the minimum dataset and hospitalization information from the Statewide Planning and Research Cooperative System.

Study design: Accelerated failure time models were used to estimate the model parameters and predict survival times. The models were fit to observations from 50 percent of the nursing homes and validated on the remaining observations.

Principal findings: Pressure ulcers and facility-level deficiencies were associated with a decreased time to first hospitalization, while the presence of advance directives and facility staffing was associated with an increased time. These predictors of the time to first hospitalization model had effects of similar magnitude in predicting the time between subsequent hospitalizations.

Conclusions: This study provides novel evidence suggesting modifiable patient and nursing home characteristics are associated with the time to first hospitalization and time to subsequent hospitalizations for nursing home residents.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Kaplan–Meier Curves of Time to Hospitalization by the Number of Past Hospitalizations Note. The curves do not cross.

Similar articles

Cited by

References

    1. Carter MW. Variations in Hospitalization Rates among Nursing Home Residents: The Role of Discretionary Hospitalizations. Health Services Research. 2003;38(4):1177–206. - PMC - PubMed
    1. D'Agostino R, Sr., Grundy S, Sullivan LM, Wilson P. Validation of the Framingham Coronary Heart Disease Prediction Scores: Results of a Multiple Ethnic Groups Investigation. Journal of the American Medical Association. 2001;286:180–7. - PubMed
    1. Fleming TR, Lin DY. Survival Analysis in Clinical Trials: Past Developments and Future Directions. Biometrics. 2000;56:971–83. - PubMed
    1. Freiman MP, Murtaugh CM. The Determinants of the Hospitalization of Nursing Home Residents. Journal of Health Economics. 1993;12(3):349–59. - PubMed
    1. Ghosh D, Lin DY. Semiparametric Analysis of Recurrent Events Data in the Presence of Dependent Censoring. Biometrics. 2003;59:877–85. - PubMed

Publication types

MeSH terms