Journal of the American Geriatrics Society最新文献

Background: Artificial Intelligence (AI) applications in healthcare have significant potential to address the unmet needs of older adults. To successfully adopt and implement AI in the care of older adults, it is critical to understand stakeholders' perspectives. We sought to explore the perceived benefits and concerns among stakeholders about AI applications in caring for older adults.

Methods: We conducted individual semi-structured interviews with five groups of stakeholders: older adults and caregivers, clinicians, health system and health insurance plan leaders (payers), investors, and technology developers. Interviews asked about the perceived role of AI in the care of older adults, the perceived benefits and concerns regarding AI, and suggestions for mitigating the concerns. Interviews were audio recorded and transcribed verbatim. We used thematic content analysis to code the transcripts.

Results: Overall, 49 participants completed interviews: older adults/caregivers (n = 15), clinicians (n = 15), payers (n = 8), investors (n = 5), and technology developers (n = 6). We identified three themes. (1). Stakeholders reported multiple benefits of AI and identified several roles for its use in the care of older adults. (2). Stakeholders expressed concerns about AI, including worsening social isolation, high cost, propagating ageism, goal misalignment, and scams/misuse of AI; views on privacy concerns were mixed. (3). Stakeholders suggested potential solutions, such as setting appropriate guardrails, to mitigate concerns about AI.

Conclusions: Given the complexity and significant unmet needs among older adults, AI's potential benefits and harms are both heightened in this population. Appropriate guardrails are needed to leverage the benefits of AI while mitigating potential harms. Our findings have implications for technology developers to design innovations that align with the stakeholders' perceived roles for AI, for regulatory bodies to incorporate stakeholders' concerns when developing AI regulations, and for health systems and end-users of technology to critically evaluate a product regarding its affordability and impact on social isolation and ageism.

Background: Despite emerging treatment options for Alzheimer's disease and related dementias (ADRD), patient preferences for treatment and care remain poorly understood.

Methods: We searched PubMed, PsycINFO, CINAHL, and EMBASE through November 12, 2024 for studies reporting stated preferences for dementia treatment- and care-related interventions. We synthesized key findings from studies using choice-based preference elicitation methods and those addressing medication preferences.

Results: We screened 8300 abstracts and 82 studies published between 1996 and 2024 were included. Most evaluated preferences for non-pharmacological interventions. Studies were experimental (37; 45.1%), observational (36; 43.9%), and qualitative (21; 25.6%). Six studies used choice-based preference elicitation methods and five assessed preferences for medications. Patients valued memory improvement and emotional or social support, despite highly heterogeneous data.

Conclusions: This review highlights significant gaps in the literature on treatment preferences-particularly for medications-among older adults with cognitive impairment, underscoring the need for further research, development of validated clinical tools, and appropriate methods to elicit preferences to better align interventions with patient values.

of key points regarding healthcare provider vaccination recommendations among older adults.

Background: Recent payment reforms in the United States have been credited with reducing the use of institutional post-acute care (PAC) after total knee arthroplasty (TKA) and total hip arthroplasty (THA). This dual-country study of Canada and the United States compares longitudinal trends in discharge to institutional PAC after primary TKA or THA.

Methods: We conducted serial cross-sectional analyses to compare discharge to institutional PAC trends among adults aged ≥ 66 years undergoing primary TKA or THA in the United States and Canada from 2013 to 2019. Patient-level data were obtained from population-based Medicare claims in the United States and analogous datasets in Ontario. Discharge trends were assessed using standardized differences and linear regression models to evaluate relative changes over time.

Results: Patients receiving TKA (2,308,001) and THA (1,234,149) in the United States and Ontario (106,721 and 53,371, respectively) were similar in age (73-74 years) and sex (~60% female). The absolute reduction in institutional PAC discharge over time for TKA was greater in the United States (slope = -3.59) than in Canada (slope = -0.53) (p < 0.0001), but relative reductions (slope = -8.78 in the United States, slope = -6.99 in Canada) were statistically similar (p = 0.08). THA showed a similar trend of absolute reductions; however, the relative reduction trend in the United States (slope = -9.98) was steeper than in Canada (slope = -6.46) (p = 0.0009).

Conclusions: The US payment reforms from 2013 to 2019 were associated with a greater impact on reducing institutional PAC utilization for THA than for TKA.

Background: Medicare Advantage (MA) plans now cover 54% of all Medicare beneficiaries. However, MA is understudied in the nursing home population. We analyzed MA enrollment trends and resident and facility characteristics from 2010 through 2023.

Methods: We calculated the point prevalence of MA enrollment for long-stay nursing home residents, short-stay residents, and all other Medicare beneficiaries from 2010 to 2023, and compared variation in MA growth at the state level between long-stay residents and the general Medicare population. We analyzed how the composition of Traditional Medicare- and MA-enrolled long-stay residents changed over time, changes in special needs plan (SNP) enrollment, and nursing home quality for MA enrollees. We also tracked monthly MA enrollment rates among nursing home residents before and after they became long-stay.

Results: MA enrollment among long-stay residents increased from 12.9% in 2010 to 36.5% in 2023, a 183% increase, outpacing the growth rate among the overall Medicare population. There was substantial geographic variation in MA growth between long-stay residents and others across states. Enrollment in Institutional SNPs grew substantially, accounting for about 35% of MA enrollment among long-stay residents. Dual-Eligible SNP enrollment also accounted for a substantial proportion among MA long-stay residents, ranging between 12% and 20% across years. Long-stay residents covered by Traditional Medicare and MA showed comparable clinical characteristics and had similar shares residing in high-quality nursing homes. Disenrollment from MA sharply increased as beneficiaries entered nursing homes for long-term care.

Conclusions: The substantial growth in MA enrollment among long-stay nursing home residents, coupled with the notable geographic variation and disenrollment, underscores the importance of recognizing that not all beneficiary groups experience MA in the same way. Targeted monitoring is needed to ensure that MA plans adequately address the care needs of this high-risk population.