Predicting risk of hospital and emergency department use for home care elderly persons through a secondary analysis of cross-national data

TitlePredicting risk of hospital and emergency department use for home care elderly persons through a secondary analysis of cross-national data
Publication TypeJournal Article
Year of Publication2014
AuthorsMorris J.N, Howard E.P, Steel K., Schreiber R., Fries B.E, Lipsitz L.A, Goldman B.
JournalBMC Health Serv Res
Date PublishedNov 14
ISBN Number1472-6963<br/>1472-6963 (Linking)
Accession Number25391559
KeywordsAged, Aged, 80 and over, Canada, Emergency Service, Hospital/ utilization, Female, Finland, Geriatric Assessment, Home Care Services, Humans, Logistic Models, Male, Odds Ratio, Risk Assessment, Surveys and Questionnaires, United States

BACKGROUND: Older adults remain the highest utilization group with unplanned visits to emergency departments and hospital admissions. Many have considered what leads to this high utilization and the answers provided have depended upon the independent measures available in the datasets used. This project was designed to further understanding of the reasons for older adult ED visits and admissions to acute care hospitals. METHODS: A secondary analysis of data from a cross-national sample of community residing elderly, 60 years of age or older, and most of whom received services from a local home-care program was conducted. The assessment instrument used in this study is the interRAI HC (home care), designed for use in assessing elderly home care recipients. The model specification stage of the study identified the baseline independent variables that do and do not predict the follow-up measure of hospitalization and ED use. Stepwise logistic regression was used next to identify characteristics that best identified elders who subsequently entered a hospital or visited an ED. The items generated from the final multivariate logistic equation using the interRAI home care measures comprise the interRAI Hospital-ED Risk Index. RESULTS: Independent measures in three key domains of clinical complications, disease diagnoses and specialized treatments were related to subsequent hospitalization or ED use. Among the eighteen clinical complication measures with higher, meaningful odds ratios are pneumonia, urinary tract infection, fever, chest pain, diarrhea, unintended weight loss, a variety of skin conditions, and subject self-reported poor health. Disease diagnoses with a meaningful relationship with hospital/ED use include coronary artery disease, congestive heart failure, cancer, emphysema and renal failure. Specialized treatments with the highest odds ratios were blood transfusion, IV infusion, wound treatment, radiation and dialysis. Two measures, Alzheimer's disease and day care appear to have a protective effect for hospitalization/ED use with lower odds ratios. CONCLUSIONS: Examination into "preventable" hospitalizations and re-hospitalizations for older adults who have the highest rates of utilization are occurring beneath an umbrella of assuring the highest quality of care and controlling costs. The interRAI Hospitalization-ED Risk Index offers an effective approach to predicting hospitalization utilization among community dwelling older adults.


Short TitleBMC health services research
Alternate JournalBMC health services research