Abraham A. Brody

Abstract

Objectives: Home health care (HHC) plays a pivotal role in serving millions of US adults aging in place. Although the HHC population is growing rapidly in both size and diversity, driven by an aging US population and a changing demographic profile, there are increasing concerns of equity in HHC, particularly regarding how vulnerable populations are affected under current HHC practices. The purpose of this study was to examine the variations in accessing high-quality HHC in racial and ethnic minority groups and persons living with dementia. Design: Cross-sectional, secondary analysis. Setting and Participants: Older adults who received HHC in 2016 from agencies with a star rating of overall care quality from the Home Health Compare program. Methods: Start of care data from the 2016 HHC Outcome and Assessment Information Set was linked to Master Beneficiary Summary File, Home Health Compare, and Provider of Services file to address the aim. Multinomial regressions were used in analysis when risk-adjusting for individual and agency characteristics. Results: Our risk-adjusted estimates, based on data from 574,682 older adults aged ≥65 years served by 8634 HHC agencies nationwide (2290 offering high-quality care, 4023 providing moderate-quality care, and 2321 delivering low-quality care), revealed significant disparities. Non-Hispanic Blacks (relative risk ratio, 0.62; 95% CI, 0.61–0.64) and Hispanics (relative risk ratio, 0.72; 95% CI, 0.70–0.74) were significantly less likely to receive care from high-quality agencies. Additionally, having dementia exacerbated disparities in accessing high-quality HHC between racial and ethnic minorities and white Americans. Conclusions and Implications: Racial and ethnic minority individuals face significant disadvantages in accessing high-quality HHC, with persons living with dementia from these groups being the most disadvantaged. Further research is warranted to investigate the referral and admission processes for HHC. Our findings highlight the need for actions from clinicians and policymakers to tackle potential biases in the aforementioned care processes.

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BACKGROUND: Despite the need, care partners of persons living with mild cognitive impairment (MCI) use supportive services less. The unique needs of care partners to persons living with MCI are not well described. This study explores how care partners support the inner strength of persons newly diagnosed with MCI. METHODS: Nine dyads of persons living with MCI and their care partners completed semi-structured interviews, analyzed according to the Listening Guide methodology. RESULTS: Care partners described supporting inner strengths of persons living with MCI by carrying the cognitive load and being reliable. Reconceptualizing identity was foundational. Across themes, care partners needed simultaneous support for themselves. DISCUSSION: This study represents the perspectives of a well-defined group of care partners to persons living with MCI. Eliciting the perspectives of underrepresented care partners and equitable access to MCI diagnosis are essential for future research. Dyadic supportive services tailored for MCI using a strengths-based approach are needed. Highlights: Care partners to persons living with mild cognitive impairment (MCI) are unique. Care partners support inner strength of persons living with MCI and need simultaneous support. Care partners reconceptualize their identities, are reliable, and carry cognitive load. Methods for eliciting perspectives of underrepresented care partners are needed. Supportive services tailored for MCI using a strengths-based approach are needed.

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Background: In the United States, nearly 1 million older adults reside in assisted living facilities, which aim to provide support for safe, autonomous living. However, low-income residents, especially those in Medicaid-supported facilities, experience unmet medical and social complex care needs and limited serious illness communication due to limited resources. Objective: The objective of this study was to explore the complex care needs and serious illness communication challenges experienced by low-income older adults in Medicaid-supported assisted living. Methods: A qualitative secondary framework analysis was conducted on data from a parent qualitative study involving 17 residents aged 60 and older with serious illnesses at a Medicaid-supported facility in New York City. Residents completed the Edmonton Symptom Assessment Scale and participated in semistructured interviews. This study was guided by the National Consensus Project for Quality Palliative Care, focusing on the residents’ experiences, complex care needs, and communication within palliative care domains. Results: Residents were predominantly Black and Hispanic, with nearly one-third having a history of homelessness or shelter use, and they experienced a high symptom burden. Four key themes emerged: (1) compromised quality of life; (2) high symptom burden and limited access to care, with residents reporting pain, fatigue, and emotional distress; (3) communication gaps while navigating health care, resulting in frustration and feelings of being unheard; and (4) fragmented care coordination, which exacerbated feelings of isolation and mistrust in the health care system. Conclusion: The findings reveal that Medicaid-supported assisted living residents encounter substantial challenges related to complex care needs and serious illness communication. There is an urgent need for community-based interventions to enhance care access, improve symptom management, and facilitate effective communication, ultimately supporting the residents’ quality of life and health outcomes. Enhanced training for staff and policy changes are key to addressing these systemic barriers to care.

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Digital health implementations and investments continue to expand. As the reliance on digital health increases, it is imperative to implement technologies with inclusive and accessible approaches. A conceptual model can be used to guide equity-focused digital health implementations to improve suitability and uptake in diverse populations. The objective of this study is expand an implementation model with recommendations on the equitable implementation of new digital health technologies. The Digital Health Equity-Focused Implementation Research (DH-EquIR) conceptual model was developed based on a rigorous review of digital health implementation and health equity literature. The Equity-Focused Implementation Research for Health Programs (EquIR) model was used as a starting point and merged with digital equity and digital health implementation models. Existing theoretical frameworks and models were appraised as well as individual equity-sensitive implementation studies. Patient and program-related concepts related to digital equity, digital health implementation, and assessment of social/digital determinants of health were included. Sixty-two articles were analyzed to inform the adaption of the EquIR model for digital health. These articles included digital health equity models and frameworks, digital health implementation models and frameworks, research articles, guidelines, and concept analyses. Concepts were organized into EquIR conceptual groupings, including population health status, planning the program, designing the program, implementing the program, and equity-focused implementation outcomes. The adapted DH-EquIR conceptual model diagram was created as well as detailed tables displaying related equity concepts, evidence gaps in source articles, and analysis of existing equity-related models and tools. The DH-EquIR model serves to guide digital health developers and implementation specialists to promote the inclusion of health-equity planning in every phase of implementation. In addition, it can assist researchers and product developers to avoid repeating the mistakes that have led to inequities in the implementation of digital health across populations.

Abstract

Digital health implementations and investments continue to expand. As the reliance on digital health increases, it is imperative to implement technologies with inclusive and accessible approaches. A conceptual model can be used to guide equity-focused digital health implementations to improve suitability and uptake in diverse populations. The objective of this study is expand an implementation model with recommendations on the equitable implementation of new digital health technologies. The Digital Health Equity-Focused Implementation Research (DH-EquIR) conceptual model was developed based on a rigorous review of digital health implementation and health equity literature. The Equity-Focused Implementation Research for Health Programs (EquIR) model was used as a starting point and merged with digital equity and digital health implementation models. Existing theoretical frameworks and models were appraised as well as individual equity-sensitive implementation studies. Patient and program-related concepts related to digital equity, digital health implementation, and assessment of social/digital determinants of health were included. Sixty-two articles were analyzed to inform the adaption of the EquIR model for digital health. These articles included digital health equity models and frameworks, digital health implementation models and frameworks, research articles, guidelines, and concept analyses. Concepts were organized into EquIR conceptual groupings, including population health status, planning the program, designing the program, implementing the program, and equity-focused implementation outcomes. The adapted DH-EquIR conceptual model diagram was created as well as detailed tables displaying related equity concepts, evidence gaps in source articles, and analysis of existing equity-related models and tools. The DH-EquIR model serves to guide digital health developers and implementation specialists to promote the inclusion of health-equity planning in every phase of implementation. In addition, it can assist researchers and product developers to avoid repeating the mistakes that have led to inequities in the implementation of digital health across populations.

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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 above 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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This study aimed to assess emergency nurses' perceived barriers toward engaging patients in serious illness conversations.