Beneficiary activation in the Medicare population.
Beneficiary activation in the Medicare population.
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DOI：
10.5600/mmrr.004.04.b02
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发表时间：
2014-01-01
期刊：
影响因子：
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通讯作者：
Petroski, Jason
中科院分区：
文献类型：
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作者：
Parker, Jessie L;Regan, Joseph F;Petroski, Jason
目的：来自一项主要的全国医疗保险调查的患者激活问题用于突出低激活的医疗保险受益人的特征。我们证明，医疗保险当前受益人调查 (MCBS) 数据是进一步研究医疗保险受益人和计划中患者激活的未开发资源。数据来源：数据来自 2012 年 MCBS 获得护理文件，包括 10,650 名受益人。方法：通过对患者激活补充的加权平均反应得出患者激活水平。高、中、低激活的切点被指定为平均值的+/-标准差。使用 SAS 调查程序分析数据。使用卡方检验和事后配对比较来测试组内比较。 Logistic 回归确定了低患者参与度的预测因子。 结果：在多重 Logistic 回归中，与低激活相关的受益人特征包括西班牙裔、丧偶或从未结婚、选择年龄组、男性、健康状况良好或较差、IADL 或 ADL 困难、没有通常的护理来源、未能完成高中是最强的预测因子（OR=2.22，p）
OBJECTIVE: Patient activation questions from a major national Medicare survey are used to highlight characteristics of Medicare beneficiaries with low activation. We demonstrate that Medicare Current Beneficiary Survey (MCBS) data is an untapped resource for further research on patient activation within Medicare beneficiaries and programs.DATA SOURCE: Data are from the 2012 MCBS Access to Care file and include 10,650 beneficiaries.METHODS: Patient Activation levels were derived by taking the weighted average responses to the Patient Activation Supplement. Cut points for high, moderate, and low activation were assigned at +/- standard deviation of the mean. Data were analyzed using SAS survey procedures. Within group comparisons were tested using chi-square tests with post hoc pairwise comparisons. Logistic regression identified predictors of low patient engagement.RESULTS: In a multiple logistic regression, beneficiary characteristics associated with low activation included Hispanic origin, being widowed or never married, select age groups, male gender, fair or poor health, difficulty with an IADL or ADLs, and having no usual source of care, with failure to complete high school as the strongest predictor (OR=2.22, p