Journal of general internal medicine
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Equity in Using Artificial Intelligence Mortality Predictions to Target Goals of Care Documentation.
Artificial intelligence (AI) algorithms are increasingly used to target patients with elevated mortality risk scores for goals-of-care (GOC) conversations. ⋯ Using AI predictions of mortality to target GOC documentation may create differences in documentation prevalence between patients with and without AI mortality prediction scores with similar severity of illness. These finding suggest using AI to target GOC documentation may have the unintended consequence of disadvantaging severely ill patients lacking AI-generated scores from receiving targeted GOC documentation, including patients who are more likely to be non-White and have Medicaid insurance.
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Alcohol use disorders (AUD) are prevalent and responsible for substantial morbidity and mortality; yet efficacious treatments are underused. Previous studies have identified demographic and clinical predictors of medication fills, yet these studies typically do not include patients who were prescribed a medication but did not fill it. ⋯ The low rate of prescription orders was notable. Low use of MAUD appears to result chiefly from prescription order decisions, rather than from prescription fill decisions made by patients.
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Low neighborhood socioeconomic status is associated with adverse health outcomes, but its association with health care costs in older adults is uncertain. ⋯ Total health care costs are higher for older community-dwelling Medicare beneficiaries residing in the most socioeconomically deprived areas compared to the least deprived areas. This association was not significant after accounting for the higher prevalence of phenotypic frailty and functional impairments among residents of socioeconomically deprived neighborhoods.
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Despite greater care needs, patients with limited English proficiency (LEP) are less likely to use telemedicine. Given the expansion of telemedicine since the COVID-19 pandemic, identifying ways to narrow the telemedicine care gaps experienced by people with LEP is essential. ⋯ Mandarin-speaking adults with LEP see telemedicine as a convenient and necessary service. Issues with healthcare providers' and interpreters' communication skills and impatience were common. The lack of wrap-around language-concordant care beyond the visit itself was cited as an ongoing and unaddressed care barrier. Healthcare provider and interpreter training is important, as is availability of personalized and comprehensive language services in promoting patient autonomy, alleviating the burden on patients' families, and thus ensuring equitable healthcare access.
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Comparative Study
A Comparison of Palliative Care Delivery between Ethnically Chinese and Non-Chinese Canadians in the Last Year of Life.
Ethnically Chinese adults in Canada and the United States face multiple barriers in accessing equitable, culturally respectful care at the end-of-life. Palliative care (PC) is committed to supporting patients and families in achieving goal-concordant, high-quality serious illness care. Yet, current PC delivery may be culturally misaligned. Therefore, understanding ethnically Chinese patients' use of palliative care may uncover modifiable factors to sustained inequities at the end-of-life. ⋯ Chinese ethnicity was associated with a higher likelihood of mixed and specialist models of PC delivery in the last year of life compared to adults who were non-Chinese. These observed differences may be due to later initiation of PC in hospital settings, and potential differences in unmeasured needs that suggest opportunities to initiate early, community-based PC to support ethnically Chinese patients with serious illness.