OBJECTIVES: To help define the relationship between elder abuse rates and counties' demographics, healthcare resources, and social service characteristics. DESIGN: County-level data from Iowa were analyzed to test the association between county characteristics and rates of elder abuse between 1984 and 1993 using univariate correlation analysis and stagewise linear regression. SETTING: Ninety-nine counties in Iowa. PARTICIPANTS: Iowa residents aged 65 years and older. MEASUREMENTS: County-level population-adjusted numbers of abused elderly, abused children, children in poverty, high school dropouts, physicians and other healthcare providers, hospital beds, social workers and caseworkers in the Department of Human Services (DHS). RESULTS: Community characteristics that had a positive association with rates of reported or substantiated elder abuse at the P < .001 level were population density, children in poverty, and reported child abuse. Lower substantiated elder abuse rates were associated at P < .05 with higher community rates of high school dropouts, number of chiropractors, and number of nurse practitioners. After adjusting for number of DHS caseworkers and reported child abuse rates (a surrogate for workload) a district effect persists for substantiated elder abuse cases (P = .002). CONCLUSION: County demographics are risk factors for reported and substantiated elder abuse. The strongest risk factor for reported elder abuse was reported child abuse. The difference in districts may reflect differences in resources and/or differing characteristics of caseworkers who substantiate elder abuse. The risk factors may reflect conditions that influence the amount of elder abuse or the detection of existing elder abuse.
OBJECTIVES: To help define the relationship between elder abuse rates and counties' demographics, healthcare resources, and social service characteristics. DESIGN: County-level data from Iowa were analyzed to test the association between county characteristics and rates of elder abuse between 1984 and 1993 using univariate correlation analysis and stagewise linear regression. SETTING: Ninety-nine counties in Iowa. PARTICIPANTS: Iowa residents aged 65 years and older. MEASUREMENTS: County-level population-adjusted numbers of abused elderly, abused children, children in poverty, high school dropouts, physicians and other healthcare providers, hospital beds, social workers and caseworkers in the Department of Human Services (DHS). RESULTS: Community characteristics that had a positive association with rates of reported or substantiated elder abuse at the P < .001 level were population density, children in poverty, and reported child abuse. Lower substantiated elder abuse rates were associated at P < .05 with higher community rates of high school dropouts, number of chiropractors, and number of nurse practitioners. After adjusting for number of DHS caseworkers and reported child abuse rates (a surrogate for workload) a district effect persists for substantiated elder abuse cases (P = .002). CONCLUSION: County demographics are risk factors for reported and substantiated elder abuse. The strongest risk factor for reported elder abuse was reported child abuse. The difference in districts may reflect differences in resources and/or differing characteristics of caseworkers who substantiate elder abuse. The risk factors may reflect conditions that influence the amount of elder abuse or the detection of existing elder abuse.
Authors: Gerald J Jogerst; Jeanette M Daly; Margaret F Brinig; Jeffrey D Dawson; Gretchen A Schmuch; Jerry G Ingram Journal: Am J Public Health Date: 2003-12 Impact factor: 9.308