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Caregiver Knowledge of Long-Term Services and Supports: Effects of Rurality and Support

机译:照顾者了解长期服务和支持:风格和支持的影响

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Abstract Caregivers often lack knowledge regarding available long-term services and supports (LTSS). Certain barriers, such as rurality and levels of social support, may contribute to a lack of knowledge and accessibility of LTSS. The Caregiver Beginnings Workshop, held in 12 communities throughout 11 counties in Iowa, was a one-time educational session created to increase knowledge and awareness of LTSS. Data were collected from pre- and post-tests completed during the workshop (N = 98). To assess caregivers’ initial knowledge of LTSS, a hierarchical regression model was estimated to examine knowledge of LTSS in caregivers as predicted by caregiver education, number of health problems in care recipient, relationship type, feelings of social support, and rurality. Results showed that rurality (β = 0.33, p = 0.047) and infrequent or no support (β = -0.30, p = 0.02) were significant predictors (R2 = 0.21), indicating that caregivers living in rural areas reported higher knowledge of LTSS and those who reported infrequent or no support reported less knowledge. Additional analyses examined county-level data to better understand the availability of community resources in rural areas. County-level variables (e.g., number of home healthcare services, education level, income, health status) were included in a regression model to predict knowledge of LTSS. The results indicated that median income (β = -0.32, p = 0.002) and an educational attainment of an associate’s level degree or higher (β = -0.30, p = 0.004) were significant predictors. Discussion focuses on the importance of support and accessible resources for caregivers in all geographic areas.
机译:摘要护理人员往往缺乏有关可用的长期服务和支持(LTS)的知识。某些障碍,如风险和社会支持的水平,可能导致LTS的知识和可达性。护理人员开端研讨会,在整个11个县的12个社区举行,是一个创造一次性教育课程,以提高LTS的知识和意识。从研讨会期间完成的预先测试中收集数据(n = 98)。为了评估客户对LTS的初步知识,估计分层回归模型,以检查护理人员中LTS的知识,如护理人员教育所预测的,护理接受者,关系类型,社会支持情绪和风险的态度。结果表明,风险性(β= 0.33,p = 0.047)和罕见或不均不支撑(β= -0.30,p = 0.02)是显着的预测因子(R2 = 0.21),表明居住在农村地区的护理人员报告了对LTS的更高知识那些报告不频繁或不支持的人报告了较少的知识。额外分析检查了县级数据,以更好地了解农村地区社区资源的可用性。县级变量(例如,家庭医疗保健服务,教育水平,收入,健康状况)被列入回归模型,以预测LTS的知识。结果表明,中位收入(β= -0.32,P = 0.002)和助理水平或更高(β= -0.30,P = 0.004)的教育程度是显着的预测因子。讨论侧重于所有地理区域的护理人员支持和可访问资源的重要性。

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