Patrick G Walsh1, Glenn W Currier2, Manish N Shah3, Bruce Friedman4. 1. Department of Psychiatry, University of Rochester, Rochester, NY; Department of Public Health Sciences, University of Rochester, Rochester, NY. 2. Department of Psychiatry, University of Rochester, Rochester, NY. 3. Department of Public Health Sciences, University of Rochester, Rochester, NY; Department of Emergency Medicine, University of Rochester, Rochester, NY; Department of Medicine, University of Rochester, Rochester, NY. 4. Department of Psychiatry, University of Rochester, Rochester, NY; Department of Public Health Sciences, University of Rochester, Rochester, NY. Electronic address: Bruce_Friedman@urmc.rochester.edu.
Abstract
OBJECTIVE: To identify among older adults with mental disorders factors associated with those who present to emergency departments (EDs) for mental health reasons versus those who do not. METHODS: The authors conducted a secondary, cross-sectional analysis of the Medical Expenditure Panel Survey (MEPS), which comprises a representative sample of the U.S. civilian noninstitutionalized population. Of the MEPS participants ages 66 and older on December 31 of the survey years 2000-2005, the analysis sample (2,757) included the 177 persons with at least one mental health ED visit and the 2,580 persons with mental disorders without such a visit. The three categories of the Andersen behavioral model for healthcare services utilization-predisposing, enabling, and need factors-were used as the theoretical framework for the independent variables. RESULTS: Logistic regression analysis indicated that four need factors (adjustment disorder [OR: 3.42], psychosis [OR: 2.68], fair perceived physical health status [OR: 2.24], and anxiety disorder [OR: 1.85]) and two predisposing characteristics (widowed and living alone [OR: 1.68] and female [OR: 1.56]) were significantly associated with older adults with mental disorders who present to an ED for mental health reasons. Good perceived mental health status (OR: 0.55) was protective against presenting to an ED. CONCLUSION: EDs that serve populations with higher proportions of older persons that are women, widowed and living alone, with adjustment disorder, psychosis, anxiety disorders, or fair perceived physical health should expect to have a greater likelihood of older persons visiting the ED for mental health reasons.
OBJECTIVE: To identify among older adults with mental disorders factors associated with those who present to emergency departments (EDs) for mental health reasons versus those who do not. METHODS: The authors conducted a secondary, cross-sectional analysis of the Medical Expenditure Panel Survey (MEPS), which comprises a representative sample of the U.S. civilian noninstitutionalized population. Of the MEPS participants ages 66 and older on December 31 of the survey years 2000-2005, the analysis sample (2,757) included the 177 persons with at least one mental health ED visit and the 2,580 persons with mental disorders without such a visit. The three categories of the Andersen behavioral model for healthcare services utilization-predisposing, enabling, and need factors-were used as the theoretical framework for the independent variables. RESULTS: Logistic regression analysis indicated that four need factors (adjustment disorder [OR: 3.42], psychosis [OR: 2.68], fair perceived physical health status [OR: 2.24], and anxiety disorder [OR: 1.85]) and two predisposing characteristics (widowed and living alone [OR: 1.68] and female [OR: 1.56]) were significantly associated with older adults with mental disorders who present to an ED for mental health reasons. Good perceived mental health status (OR: 0.55) was protective against presenting to an ED. CONCLUSION: EDs that serve populations with higher proportions of older persons that are women, widowed and living alone, with adjustment disorder, psychosis, anxiety disorders, or fair perceived physical health should expect to have a greater likelihood of older persons visiting the ED for mental health reasons.
Authors: Laura P Sands; Yimeng Xie; Rachel Pruchno; Allison Heid; Yili Hong Journal: Disaster Med Public Health Prep Date: 2018-02-05 Impact factor: 1.385