定义和验证标准,以确定可能受益于居家初级保健的人群。

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-10-15 DOI:10.1097/MLR.0000000000002085
Maggie R Salinger, Katherine A Ornstein, Hannah Kleijwegt, Abraham A Brody, Bruce Leff, Harriet Mather, Jennifer Reckrey, Christine S Ritchie
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引用次数: 0

摘要

背景:居家初级保健(HBPC)是针对高需求老年人的一种重要保健模式。目前,不同 HBPC 项目的目标患者人群各不相同,阻碍了项目的扩展和大规模评估:研究设计:研究设计:采用改良德尔菲流程,就确定 HBPC 目标人群的标准达成专家共识。所有标准的定义和验证均使用来自医疗保险索赔和国家健康与老龄化趋势研究(NHATS)(队列人数=21,727)的关联数据。结构验证包括对选定标准的人口统计学和健康结果/支出进行评估:德尔菲小组成员(人数=29)代表了不同的专业视角。验证标准的对象是参加 NHATS 的社区医疗保险受益人(年龄在 70 岁以上):标准通过德尔菲调查问卷选定。为了进行构建验证,医疗保险受益人的社会人口特征由 NHATS 自行报告,年度医疗支出和死亡率则通过关联的医疗保险索赔获得:专家小组成员提出了一种 HBPC 目标人群标准算法,其中包括重病、功能障碍和社会隔离指标。该算法的德尔菲选择标准适用于 16.8% 的医疗保险受益人。与全部验证队列相比,这些 HBPC 目标人群的年度医疗费用更高 [Med (IQR): $10,851 (3316, 31,556) vs. $2830 (913, 9574)] ,12 个月死亡率更高 [15% (95% CI: 14, 17) vs. 5% (95% CI: 4, 5)]:我们开发并验证了一种算法来确定 HBPC 的目标人群,这表明需要增加 HBPC 的供应。通过客观地确定尚未满足的 HBPC 获取或资源需求,该算法可促进 HBPC 的稳健评估和公平推广。
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Defining and Validating Criteria to Identify Populations Who May Benefit From Home-Based Primary Care.

Background: Home-based primary care (HBPC) is an important care delivery model for high-need older adults. Currently, target patient populations vary across HBPC programs, hindering expansion and large-scale evaluation.

Objectives: Develop and validate criteria that identify appropriate HBPC target populations.

Research design: A modified Delphi process was used to achieve expert consensus on criteria for identifying HBPC target populations. All criteria were defined and validated using linked data from Medicare claims and the National Health and Aging Trends Study (NHATS) (cohort n=21,727). Construct validation involved assessing demographics and health outcomes/expenditures for selected criteria.

Subjects: Delphi panelists (n=29) represented diverse professional perspectives. Criteria were validated on community-dwelling Medicare beneficiaries (age ≥70) enrolled in NHATS.

Measures: Criteria were selected via Delphi questionnaires. For construct validation, sociodemographic characteristics of Medicare beneficiaries were self-reported in NHATS, and annual health care expenditures and mortality were obtained via linked Medicare claims.

Results: Panelists proposed an algorithm of criteria for HBPC target populations that included indicators for serious illness, functional impairment, and social isolation. The algorithm's Delphi-selected criteria applied to 16.8% of Medicare beneficiaries. These HBPC target populations had higher annual health care costs [Med (IQR): $10,851 (3316, 31,556) vs. $2830 (913, 9574)] and higher 12-month mortality [15% (95% CI: 14, 17) vs. 5% (95% CI: 4, 5)] compared with the total validation cohort.

Conclusions: We developed and validated an algorithm to define target populations for HBPC, which suggests a need for increased HBPC availability. By enabling objective identification of unmet demands for HBPC access or resources, this algorithm can foster robust evaluation and equitable expansion of HBPC.

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