Symptom Burden Predicts Nursing Home Admissions Among Older Adults.
ABSTRACT CONTEXT: Symptom burden has been associated with functional decline in community-dwelling older adults and may be responsive to interventions. Known predictors of nursing home (NH) admission are often nonmodifiable. OBJECTIVES: To determine if symptom burden independently predicted NH admission among community-dwelling older adults over an eight and one half-year follow-up period. METHODS: A random sample of community-dwelling Medicare beneficiaries in Alabama, stratified by race, gender, and rural/urban residence had baseline in-home assessments of sociodemographic measurements, Charlson comorbidity count, and symptoms. Symptom burden was derived from a count of 10 patient-reported symptoms. Nursing home admissions were determined from telephone interviews conducted every six months over the eight and one half years of study. Cox proportional hazard modeling was used to examine the significance of symptom burden as a predictor for NH admission after adjusting for other variables. RESULTS: The mean ± SD age of the sample (N = 999) was 75.3 ± 6.7 years, and the sample was 51% rural, 50% African American, and 50% male. Thirty-eight percent (n = 380) had symptom burden scores ≥2. Seventy-five participants (7.5%) had confirmed dates for NH admission during the eight and one half years of follow-up. Using Cox proportional hazard modeling, symptom burden remained an independent predictor of time to NH placement (hazard ratio = 1.11; P = 0.02), even after adjustment for comorbidity count, race, sex, and age. CONCLUSION: Symptom burden is an independent risk factor for NH admission. Aggressive management of symptoms in older adults may reduce or delay NH admission.
- SourceAvailable from: Kathryn Hyer[Show abstract] [Hide abstract]
ABSTRACT: Objectives To examine predictors of long-term nursing home placement (LTNHP) while controlling for mortality as a competing risk event.DesignLongitudinal.SettingHealth and Retirement Study, 1998–2010.ParticipantsNationally representative sample of community-living older adults (N = 10,385).MeasurementsLongitudinal data were used with a maximum follow-up of 12 years. First, a traditional Cox proportional hazards model was estimated treating death as an uninformative censoring event. A joint cause-specific hazards model that accounts for the competing risk of mortality in estimating the risk of LTNHP was then estimated.ResultsThe effect of adjusting for competing risk of mortality is evident for nearly all predictors of LTNHP. Predictors were over- or underestimated in the traditional Cox model, and several predictors changed in the direction of the association, whereas others changed in magnitude. For example, after controlling for mortality, women aged 85 and older had more than twice the risk (hazard ratio = 7.23, 95% confidence interval = 5.18–10.10) of LTNHP than evidenced in the traditional Cox model.Conclusion Whenever possible, the competing risk of mortality should be recognized and adjusted in developing screening tools and predictive risk models for LTNHP.Journal of the American Geriatrics Society 04/2014; 62(5). DOI:10.1111/jgs.12781 · 4.22 Impact Factor
- [Show abstract] [Hide abstract]
ABSTRACT: New financial penalties for institutions with high readmission rates have intensified efforts to reduce rehospitalization. Several interventions that involve multiple components (e.g., patient needs assessment, medication reconciliation, patient education, arranging timely outpatient appointments, and providing telephone follow-up) have successfully reduced readmission rates for patients discharged to home. The effect of interventions on readmission rates is related to the number of components implemented; single-component interventions are unlikely to reduce readmissions significantly. For patients discharged to postacute care facilities, multicomponent interventions have reduced readmissions through enhanced communication, medication safety, advanced care planning, and enhanced training to manage medical conditions that commonly precipitate readmission. To help hospitals direct resources and services to patients with greater likelihood of readmission, risk-stratification methods are available. Future work should better define the roles of home-based services, information technology, mental health care, caregiver support, community partnerships, and new transitional care personnel. Expected final online publication date for the Annual Review of Medicine Volume 65 is January 14, 2014. Please see http://www.annualreviews.org/catalog/pubdates.aspx for revised estimates.Annual review of medicine 10/2013; 65. DOI:10.1146/annurev-med-022613-090415 · 9.94 Impact Factor
- BMC Geriatrics 01/2015; DOI:10.1186/1471-2318-15-1 · 2.00 Impact Factor