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首页> 外文期刊>Journal of the American Geriatrics Society >Predictors of health resource use by disabled older female Medicare beneficiaries living in the community.
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Predictors of health resource use by disabled older female Medicare beneficiaries living in the community.

机译:居住在社区中的残疾老年女性医疗保险受益人对健康资源使用的预测。

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OBJECTIVES: To identify specific clinical factors that could best predict resource use by disabled older women. DESIGN: Cross-sectional. SETTING: Urban community in Baltimore, Maryland. PARTICIPANTS: One thousand two community-dwelling, moderately to severely disabled, female Medicare beneficiaries aged 65 and older, from the Women's Health and Aging Study I (WHAS). MEASUREMENTS: WHAS data were merged with participants' 1992-1994 Medicare claims data for the year after baseline evaluation, reflecting inpatient, outpatient, home-based, and skilled-nursing services. The independent contributions of factors hypothesized to predict health expenditures were assessed, using chi-square and regression analyses, with the logarithm of Medicare expenditures as the primary outcome. RESULTS: Demographic factors were not associated with Medicare expenditures. Factors associated with expenditures in bivariate analyses included heart disease (1.4x), chronic obstructive pulmonary disease (1.3x), diabetes mellitus (1.1x), smoking, comorbidity, and severity of disability, as well as low creatinine clearance, serum albumin, caloric expenditure, or skinfold thickness. Heart disease, diabetes mellitus, and low skinfold thickness remained significant after adjustment for other factors. CONCLUSION: Heart disease, diabetes mellitus, and low skinfold thickness are important independent predictors of 1-year Medicare expenditures by disabled older women. Many other variables that reflect disease, disability, nutrition, or personal habits have less predictive ability. Most demographic factors are not predictors of expenditures in this population. Focusing on the best predictors may facilitate more-effective risk adjustment and creation of related health policies.
机译:目的:确定能够最好地预测残疾老年妇女资源使用的具体临床因素。设计:横截面。地点:马里兰州巴尔的摩的城市社区。参与者:来自妇女健康与老龄化研究(WHAS)的102位年龄在65岁以上的中度至重度残疾的女性联邦医疗保险受益人。测量:将WHAS数据与参与者1992-1994年基线评估后一年的Medicare索赔数据合并,以反映住院,门诊,家庭护理和熟练护理服务。使用卡方和回归分析,以医疗保险支出的对数为主要结果,评估了假设用来预测健康支出的因素的独立贡献。结果:人口统计学因素与医疗保险支出无关。与双变量分析的支出相关的因素包括心脏病(1.4x),慢性阻塞性肺疾病(1.3x),糖尿病(1.1x),吸烟,合并症和残疾严重程度,以及肌酐清除率低,血清白蛋白,热量消耗或皮褶厚度。调整其他因素后,心脏病,糖尿病和低皮厚度仍然很明显。结论:心脏病,糖尿病和皮厚度低是残疾老年妇女1年Medicare支出的重要独立预测因素。反映疾病,残疾,营养或个人习惯的许多其他变量的预测能力较弱。大多数人口因素都不是该人群支出的预测因素。专注于最好的预测因素可以促进更有效的风险调整和制定相关的健康政策。

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