医疗补助教育和护理人员资格规划:网站可用性和验证研究。

IF 4.8 Q1 GERIATRICS & GERONTOLOGY
JMIR Aging Pub Date : 2025-08-27 DOI:10.2196/77441
Marguerite DeLiema, Siyu Gao, Justine Scattarelli, Kelly Moeller, Olu Olofinboba
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引用次数: 0

摘要

背景:大多数美国老年人没有足够的储蓄来支付长期护理费用。医疗补助是一项针对低收入人群的公共医疗保健计划,它可以帮助符合条件的美国人支付在养老院的帮助或家庭服务的费用。确定医疗补助计划的财务资格是复杂的,申请过程通常由对医疗补助计划了解有限的家庭护理人员管理。目的:需要一个一站式的数字解决方案来帮助家庭照顾者计划长期护理服务的成本,并了解如何通过医疗补助计划获得支付服务的帮助。我们的目标是开发一个web应用程序(1)教育非正式护理人员关于医疗补助计划和资格标准,(2)告知他们在当地有或没有医疗补助覆盖的家庭和机构护理的成本,以及(3)使用自定义算法根据护理接受者的收入,资产和每月支出提供个性化的财务资格信息。方法:我们首先采访了老龄化服务提供者和非正式的家庭护理人员,然后开发了一个基于对英语和西班牙语护理人员的用户体验访谈的web应用程序。在最后的验证阶段,记录了109名非正式护理人员完成一系列任务的异步可用性会话。参与者观看并评价动画的医疗补助“解说”视频,输入财务信息以启用自定义算法来确定护理接受者是否有资格获得医疗补助,调整护理成本计算器的设置以估计家庭和机构护理服务的区域成本,并在使用网站前后完成医疗补助知识测验。结果:参与网站和观看视频后,医疗补助知识测验得分提高了61.2%(双尾t92=12.9, p)。结论:综合性医疗补助计划网站可以显著提高护理人员对医疗补助的认识,并为其提供个性化的医疗服务获取路线图。确定医疗补助资格的自定义算法可以进一步完善,以考虑基于州的例外情况。该应用程序可以减轻护理人员的负担,并有助于支持长期护理计划过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Medicaid Education and Eligibility Planning for Caregivers: Website Usability and Validation Study.

Medicaid Education and Eligibility Planning for Caregivers: Website Usability and Validation Study.

Medicaid Education and Eligibility Planning for Caregivers: Website Usability and Validation Study.

Medicaid Education and Eligibility Planning for Caregivers: Website Usability and Validation Study.

Background: Most older Americans have not saved enough to cover long-term care costs. Medicaid-a public health care program for low-income individuals-can help Americans with qualifying care needs pay for assistance in a nursing home or for services in the home. Determining financial eligibility for Medicaid is complicated, and the application process is often managed by family caregivers with limited knowledge of Medicaid programs.

Objective: A one-stop digital solution is needed to help family caregivers plan for the cost of long-term care services and learn about getting help paying for services through Medicaid. We aimed to develop a web application that (1) educates informal caregivers about Medicaid programs and eligibility criteria, (2) informs them about the cost of home and institutional care in their local area with and without Medicaid coverage, and (3) uses a custom algorithm to provide personalized financial eligibility information based on the care recipient's income, assets, and monthly spending.

Methods: We first interviewed aging services providers and informal family caregivers, then developed a web application that was refined based on user experience interviews with English- and Spanish-speaking caregivers. In the final validation phase, asynchronous usability sessions were recorded with 109 informal caregivers who completed a series of tasks. Participants viewed and rated animated Medicaid "explainer" videos, input financial information to enable the custom algorithm to determine the care recipient's eligibility for Medicaid, adjusted settings on a care cost calculator to estimate the regional cost of home and institutional care services, and completed a Medicaid knowledge quiz before and after using the website.

Results: After engaging with the website and watching the videos, scores on a Medicaid knowledge quiz increased by 61.2% (2-tailed t92=12.9, P<.001). Participants found it easy to enter the care recipient's financial information to determine Medicaid eligibility (out of 7; mean 5.9, SD 1.3) and perceived the care cost calculator as very helpful (out of 7; mean 6.3, SD 1.2). The website received a very high System Usability Scale rating of 88.3 out of 100 (SD 13.1). Caregivers verbalized wanting more education on complex financial concepts that impact Medicaid eligibility and asset preservation.

Conclusions: A comprehensive Medicaid planning website can significantly improve caregivers' knowledge of Medicaid and provide them with a personalized roadmap for accessing care services. The custom algorithm powering the Medicaid eligibility determination could be further refined to account for state-based exceptions. This application may reduce caregiver burden and help support the long-term care planning process.

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来源期刊
JMIR Aging
JMIR Aging Social Sciences-Health (social science)
CiteScore
6.50
自引率
4.10%
发文量
71
审稿时长
12 weeks
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