ADDRESSING THE LONG-TERM CARE POLICIES IN HAWAII: AN APPLICATION OF BARDACH’S MODEL

Abstract In this policy analysis paper, I utilized Bardach’s (1977) model to evaluate three alternative policy options addressing the crucial needs of long-term care in Hawaii. The policy options included the Long-Term Care Insurance (LTCI), the Kupuna Caregivers Program (KCP), and the Long-Term Care Insurance Partnership Program (LTCIPP). These policies were analyzed based on Bardach’s (1977) eight-step model. Further, the evaluation justified the selected policies against several criteria such as financial feasibility, effectiveness, political acceptability, policy sustainability, an overall impact to support older adults towards age in place, effects on employers, and sustainability. The findings of this policy analysis included that the LTCIPP, as a 3rd policy alternative in the list, has more potential to address the service gaps of LTC in the long run compared to the remaining policies. Though the LTCIPP has been progressively growing as a promising LTC initiative, and currently, most U.S. states are entitled to this program, it might not be affordable for potential care recipients from marginal communities such as low-income, homeless, Indigenous communities, etc. Further, this paper acknowledges that addressing the needs for long-term care necessitates comprehensive efforts. Aside from the enrollment in LTCIPP for Hawaii, this analysis recommends promoting and advocating for appropriate funding for the Kupuna Caregiver Program, which is unique even in the U.S., to support low-income families and their care-needed elderly members. The paper suggests that partnering with private entities enhances the government’s chances of avoiding cost-shifting challenges.

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Publication Details

Journal
Innovation in Aging
Published
2024-12-01
DOI
https://doi.org/10.1093/geroni/igae098.4307
Primary Topic
demographic modeling and climate adaptation
Type
article
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article

ADDRESSING THE LONG-TERM CARE POLICIES IN HAWAII: AN APPLICATION OF BARDACH’S MODEL

Mohammad Motaher Hossain
Innovation in Aging
demographic modeling and climate adaptation
article

ADDRESSING THE LONG-TERM CARE POLICIES IN HAWAII: AN APPLICATION OF BARDACH’S MODEL

Mohammad Motaher Hossain
article en

Abstract

Abstract In this policy analysis paper, I utilized Bardach’s (1977) model to evaluate three alternative policy options addressing the crucial needs of long-term care in Hawaii. The policy options included the Long-Term Care Insurance (LTCI), the Kupuna Caregivers Program (KCP), and the Long-Term Care Insurance Partnership Program (LTCIPP). These policies were analyzed based on Bardach’s (1977) eight-step model. Further, the evaluation justified the selected policies against several criteria such as financial feasibility, effectiveness, political acceptability, policy sustainability, an overall impact to support older adults towards age in place, effects on employers, and sustainability. The findings of this policy analysis included that the LTCIPP, as a 3rd policy alternative in the list, has more potential to address the service gaps of LTC in the long run compared to the remaining policies. Though the LTCIPP has been progressively growing as a promising LTC initiative, and currently, most U.S. states are entitled to this program, it might not be affordable for potential care recipients from marginal communities such as low-income, homeless, Indigenous communities, etc. Further, this paper acknowledges that addressing the needs for long-term care necessitates comprehensive efforts. Aside from the enrollment in LTCIPP for Hawaii, this analysis recommends promoting and advocating for appropriate funding for the Kupuna Caregiver Program, which is unique even in the U.S., to support low-income families and their care-needed elderly members. The paper suggests that partnering with private entities enhances the government’s chances of avoiding cost-shifting challenges.

Innovation in AgingVol. 8(Supplement_1)
Walker (United States) (US), Grand Valley State University (US)
Openalex Percentile: Top 69%
demographic modeling and climate adaptation
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