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.

Abstract

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.

Abstract

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.

Abstract

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.

Abstract

Context: Social determinants of health (SDOH) impacted the quality of home hospice care provided during the COVID-19 pandemic. Perspectives from professionals who provided care identify challenges and lessons learned from their experience. Objective: To examine hospice professionals’ perspectives of how SDOH affected the delivery of high-quality home hospice care in New York City (NYC) during the COVID-19 pandemic. Methods: We conducted semistructured interviews with 30 hospice professionals who delivered care to home hospice patients during the COVID-19 pandemic in NYC using a qualitative descriptive design. Purposive sampling was used to recruit professionals from a range of disciplines including physicians, advanced practice providers, nurses, social workers, chaplains, and hospice administration and management. Participants worked for one of two large NYC metro hospices and one outpatient palliative care practice serving the five boroughs of NYC and the surrounding suburbs. Rapid qualitative analysis was used to identify themes. Results: Thirty hospice professionals were interviewed, spanning a variety of clinical and administrative roles. Most (21 out of 30) reported that social determinants affected access and/or delivery of equitable hospice care. Two key themes emerged from interviews: (1) SDOH exist and affect the delivery of high-quality care and (2) disparities were exacerbated during the COVID-19 pandemic resulting in barriers to care. Subthemes outline barriers described by hospice professionals: decreased hospice enrollment, telehealth challenges, resulting in deficient patient/family education, shortages of nursing assistants in some neighborhoods, and diminished overall quality of hospice care for some patients. SDOH created barriers to hospice care through neighborhood factors, resource barriers, and system challenges. Conclusion: SDOH provide a context to understand disparity in the provision of hospice care. COVID-19 exacerbated these conditions. Addressing multidimensional barriers created by SDOH is key in creating high-quality and equitable hospice care, particularly during a crisis.

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.

Abstract

Introduction: This study aimed to assess emergency nurses’ perceived barriers toward engaging patients in serious illness conversations. Methods: Using a mixed-method (quant + QUAL) convergent design, we pooled data on the emergency nurses who underwent the End-of-Life Nursing Education Consortium training across 33 emergency departments. Data were extracted from the End-of-Life Nursing Education Consortium post-training questionnaire, comprising a 5-item survey and 1 open-ended question. Our quantitative analysis employed a cross-sectional design to assess the proportion of emergency nurses who report that they will encounter barriers in engaging seriously ill patients in serious illness conversations in the emergency department. Our qualitative analysis used conceptual content analysis to generate themes and meaning units of the perceived barriers and possible solutions toward having serious illness conversations in the emergency department. Results: A total of 2176 emergency nurses responded to the survey. Results from the quantitative analysis showed that 1473 (67.7%) emergency nurses reported that they will encounter barriers while engaging in serious illness conversations. Three thematic barriers—human factors, time constraints, and challenges in the emergency department work environment—emerged from the content analysis. Some of the subthemes included the perceived difficulty of serious illness conversations, delay in daily throughput, and lack of privacy in the emergency department. The potential solutions extracted included the need for continued training, the provision of dedicated emergency nurses to handle serious illness conversations, and the creation of dedicated spaces for serious illness conversations. Discussion: Emergency nurses may encounter barriers while engaging in serious illness conversations. Institutional-level policies may be required in creating a palliative care-friendly emergency department work environment.

Abstract

Ensuring reliability of Large Language Models (LLMs) in clinical tasks is crucial. Our study assesses two state-of-the-art LLMs (ChatGPT and LlaMA-2) for extracting clinical information, focusing on cognitive tests like MMSE and CDR. Our data consisted of 135,307 clinical notes (Jan 12th, 2010 to May 24th, 2023) mentioning MMSE, CDR, or MoCA. After applying inclusion criteria 34,465 notes remained, of which 765 underwent ChatGPT (GPT-4) and LlaMA-2, and 22 experts reviewed the responses. ChatGPT successfully extracted MMSE and CDR instances with dates from 742 notes. We used 20 notes for fine-tuning and training the reviewers. The remaining 722 were assigned to reviewers, with 309 each assigned to two reviewers simultaneously. Inter-rater-agreement (Fleiss’ Kappa), precision, recall, true/ false negative rates, and accuracy were calculated. Our study follows TRIPOD reporting guidelines for model validation. For MMSE information extraction, ChatGPT (vs. LlaMA-2) achieved accuracy of 83% (vs. 66.4%), sensitivity of 89.7% (vs. 69.9%), true-negative rates of 96% (vs 60.0%), and precision of 82.7% (vs 62.2%). For CDR the results were lower overall, with accuracy of 87.1% (vs. 74.5%), sensitivity of 84.3% (vs. 39.7%), true-negative rates of 99.8% (98.4%), and precision of 48.3% (vs. 16.1%). We qualitatively evaluated the MMSE errors of ChatGPT and LlaMA-2 on double-reviewed notes. LlaMA-2 errors included 27 cases of total hallucination, 19 cases of reporting other scores instead of MMSE, 25 missed scores, and 23 cases of reporting only the wrong date. In comparison, ChatGPT’s errors included only 3 cases of total hallucination, 17 cases of wrong test reported instead of MMSE, and 19 cases of reporting a wrong date. In this diagnostic/prognostic study of ChatGPT and LlaMA-2 for extracting cognitive exam dates and scores from clinical notes, ChatGPT exhibited high accuracy, with better performance compared to LlaMA-2. The use of LLMs could benefit dementia research and clinical care, by identifying eligible patients for treatments initialization or clinical trial enrollments. Rigorous evaluation of LLMs is crucial to understanding their capabilities and limitations.

Abstract

The purpose of this article was to analyze the concept of "the fighter in the intensive care unit (ICU)"per the scientific literature and the impact this mentality has on care administered in the ICU. A literature review and a concept analysis based on Rodger's evolutionary method were performed to identify surrogate terms, antecedents, attributes, and consequences pertaining to the "fighter"in the ICU. Thirteen articles with a focus on "the fighter"were included in this analysis. There is a strong desire to remain optimistic and maintain high spirits as a coping mechanism in the face of extreme prognostic uncertainty. Themes that emerged from the literature were the need to find inner strength and persist in the face of adversity. The concept of "the fighter in the ICU"can serve as either adaptive or maladaptive coping, depending on the larger clinical picture. Patient experiences in the ICU are fraught with physical and psychological distress. How the patient and family unit cope during this anxiety-provoking time is based on the individual. Maintaining optimism and identifying as a fighter can be healthy ways to adapt to the circumstances. This concept analysis highlights the importance of holistic care and instilling hope particularly as patients may be nearing the end of life.