Comparing the effectiveness of two theory-based strategies to promote cognitive training adherence.

This study compared the effectiveness of two theory-based strategies to promote cognitive training adherence among older adults (Mage = 70 years, SD = 4.42, range = 64-84). Strategies incorporated either (a) elements of implementation intention formation or (b) positive message framing, both of which have been found to promote adherence to health behaviors in other domains. Participants (N = 120) were asked to engage in technology-based cognitive training at home comprised of seven gamified neuropsychological tasks. In Phase 1 (structured), participants were provided a schedule that required engagement in 1 hr of cognitive training 5 days each week over 2 months. In Phase 2 (unstructured), participants were instructed to engage with the intervention as much as they desired for 1 month. Contrary to expectations, neither the implementation intention nor positive message framing produced greater adherence relative to control as measured by the total number of training sessions completed in each phase. However, exploratory analysis indicated a greater likelihood of intervention engagement for participants assigned to the implementation intention condition on many days of the intervention, though the trajectory of engagement decline was similar for all three groups. Measures of cognition, attitudes/personality, and technology proficiency also did not predict adherence over either phase. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Family caregiver roles and challenges in assisting patients with cancer treatment decision-making: Analysis of data from a national survey.

BACKGROUND: We aimed to describe the roles and challenges of family caregivers involved in patients' cancer treatment decision-making. METHODS: Family caregiver-reported data were analyzed from a national survey conducted in the United States by CancerCare® (2/2021-7/2021). Four select-all-that-apply caregiver roles were explored: (1) observer (patient as primary decision-maker); (2) primary decision-maker; (3) shared decision-maker with patient and (4) decision delegated to healthcare team. Roles were compared across five treatment decisions: where to get treatment, the treatment plan, second opinions, beginning treatment and stopping treatment. Ten challenges faced by caregivers (e.g., information, cost, treatment understanding) were then examined. χ2 and regression analyses were used to assess associations between roles, decision areas, challenges and caregiver sociodemographics. RESULTS: Of 2703 caregiver respondents, 87.6% reported involvement in patient decisions about cancer treatment, including 1661 who responded to a subsection further detailing their roles and challenges with specific treatment decisions. Amongst these 1661 caregivers, 22.2% reported an observing role, 21.3% a primary decision-making role, 53.9% a shared decision-making role and 18.1% a role delegating decisions to the healthcare team. Most caregivers (60.4%) faced ≥1 challenge, the most frequent being not knowing how treatments would affect the patient's physical condition (24.8%) and quality of life (23.2%). In multivariable models, being Hispanic/Latino/a was the strongest predictor of facing at least one challenge (b = -0.581, Wald = 10.69, p < .01). CONCLUSIONS: Most caregivers were involved in patients' cancer treatment decisions. The major challenge was not understanding how treatments would impact patients' physical health and quality of life. Challenges may be more commonly faced by Hispanic/Latino/a caregivers. PATIENT OR PUBLIC CONTRIBUTION: The CancerCare® survey was developed in partnership with caregiving services and research experts to describe the role of cancer family caregivers in patient decision-making and assess their needs for support. All survey items were reviewed by a CancerCare advisory board that included five professional patient advocates and piloted by a CancerCare social worker and other staff who provide counselling to cancer caregivers.

Decision support training for advanced cancer family caregivers: Study protocol for the CASCADE factorial trial.

BACKGROUND: Patients with advanced cancer face numerous decisions when diagnosed and often receive decision support from family caregivers. The CASCADE (CAre Supporters Coached to be Adept DEcision partners) factorial trial intervention aims to train caregivers in skills to provide effective decision support to patients and identify most effective intervention components. METHODS: This is a 2-site, single-blind, 24 factorial trial to test components of the CASCADE decision support training intervention for family caregivers of patients with newly-diagnosed advanced cancer delivered by specially-trained, telehealth, palliative care lay coaches over 24 weeks. Family caregivers (target N = 352) are randomly assigned to one of 16 combinations of four components with two levels each: 1) psychoeducation on effective decision partnering principles (1 vs. 3 sessions); 2) decision support communication training (1 session vs. none); 3) Ottawa Decision Guide training (1 session vs. none) and 4) monthly follow-up (1 call vs. calls for 24 weeks). The primary outcome is patient-reported decisional conflict at 24 weeks. Secondary outcomes include patient distress, healthcare utilization, caregiver distress, and quality of life. Mediators and moderators (e.g., sociodemographics, decision self-efficacy, social support) will be explored between intervention components and outcomes. Results will be used to build two versions of CASCADE: one with only effective components (d ≥ 0.30) and another optimized for scalability and cost. DISCUSSION: This protocol describes the first factorial trial, informed by the multiphase optimization strategy, of a palliative care decision-support intervention for advanced cancer family caregivers and will address the field's need to identify effective components that support serious illness decision-making. TRIAL REGISTRATION: NCT04803604.

Cognitive differences across ethnoracial category, socioeconomic status across the Alzheimer's disease spectrum: Can an ability discrepancy score level the playing field?

An ability discrepancy (crystallized minus fluid abilities) might be a personally relevant cognitive marker of risk for Alzheimer's disease (AD) and might help reduce measurement bias often present in traditional measures of cognition. In a large national sample of adults aged 60-104 years (N = 14,257), we investigated whether the intersectionality of group characteristics previously shown to pose a risk for AD including ethnoracial category, socioeconomic status, and sex (a) differed in ability discrepancy compared to traditional neuropsychological tests and (b) moderated the relationship between an ability discrepancy and AD symptom severity. In cognitively normal older adults, results indicated that across each decade, fluid and memory composite scores generally exhibited large group differences with sex, education, and ethnoracial category. In contrast, the ability discrepancy score showed much smaller group differences, thus removing much of the biases inherent in the tests. Women with higher education differed in discrepancy performance from other groups, suggesting a subgroup in which this score might reduce bias to a lesser extent. Importantly, a greater ability discrepancy was associated with greater AD symptom severity across the AD continuum. Subgroup analyses suggest that this relationship holds for all groups except for some subgroups of Hispanic Americans. These findings suggest that an ability discrepancy measure might be a better indicator of baseline cognition than traditional measures that show more egregious measurement bias across diverse groups of people.

Rural-Urban Differences in Cognition: Findings From the Advanced Cognitive Training for Independent and Vital Elderly Trial.

ObjectivesWe examined associations between three geographic areas (urban, suburban, rural) and cognition (memory, reasoning, processing speed) over a 10-year period. Methods: Data were obtained from 2539 participants in the Advanced Cognitive Training for Independent and Vital Elderly (ACTIVE) trial. Multilevel, mixed-effects linear regression was used to estimate cognitive trajectories by geographical areas over 10 years, after adjusting for social determinants of health. Results: Compared to urban and suburban participants, rural participants fared worse on all cognitive measures-memory (B = -1.17 (0.17)), reasoning (B = -1.55 (0.19)), and processing speed (B = 0.76 (0.19)) across the 10-year trajectory. Across geographic areas, greater economic stability, health care access and quality, and neighborhood resources were associated with better cognition over time. Discussion: Findings highlight the importance of geographical location when examining cognition later in life. More research examining place-based life experiences is needed to make the greatest impact on geographically diverse communities.

Bias reported by family caregivers in support received when assisting patients with cancer-related decision-making.

BACKGROUND: Family caregivers play an increasing role in cancer treatment decision-making. We examined bias reported by family caregivers in the support they and their patient received from their healthcare team when making these decisions, including associations with distress. METHODS: Analysis of 2021 national survey data of family caregivers of patients with cancer (N = 2703). Bias experienced in decision support was assessed with the item: "Have you felt that the support you and the person with cancer have received for making cancer-related decisions by your doctor or healthcare team has been negatively affected by any of the following?" Check-all-that-apply response options included: age, race, language, education, political affiliation, body weight, insurance type or lack of insurance, income, religion, sexual orientation, and gender/sex. Chi-square and regression analyses assessed associations between bias and caregiver distress (GAD-2, PHQ-2). RESULTS: Of 2703 caregiver respondents, 47.4% (n = 1281) reported experiencing ≥1 bias(es) when receiving decision support for making cancer-related decisions. Bias was more prevalent among younger caregivers, males, transwomen/men or gender non-conforming caregivers, racial/ethnic minorities, and those providing care over a longer time period. The odds of having high anxiety (GAD-2 scores ≥ 3) were 2.1 times higher for caregivers experiencing one type of bias (adjusted OR, 2.1; 95% CI, 1.6-2.8) and 4.2 times higher for caregivers experiencing ≥2 biases (adjusted OR, 4.2; 95% CI, 3.4-5.3) compared to none. Similar results were found for high depression scores (PHQ-2 scores ≥ 3). CONCLUSIONS: Nearly half of caregivers involved in their care recipients' cancer-related decisions report bias in decision support received from the healthcare team. Experiencing bias was strongly associated with high psychological distress.

Deep learning-based predictions of older adults' adherence to cognitive training to support training efficacy.

As the population ages, the number of older adults experiencing mild cognitive impairment (MCI), Alzheimer's disease, and other forms of dementia will increase dramatically over the next few decades. Unfortunately, cognitive changes associated with these conditions threaten independence and quality of life. To address this, researchers have developed promising cognitive training interventions to help prevent or reverse cognitive decline and cognitive impairment. However, the promise of these interventions will not be realized unless older adults regularly engage with them over the long term, and like many health behaviors, adherence to cognitive training interventions can often be poor. To maximize training benefits, it would be useful to be able to predict when adherence lapses for each individual, so that support systems can be personalized to bolster adherence and intervention engagement at optimal time points. The current research uses data from a technology-based cognitive intervention study to recognize patterns in participants' adherence levels and predict their future adherence to the training program. We leveraged the feature learning capabilities of deep neural networks to predict patterns of adherence for a given participant, based on their past behavior. A separate, personalized model was trained for each participant to capture individualistic features of adherence. We posed the adherence prediction as a binary classification problem and exploited multivariate time series analysis using an adaptive window size for model training. Further, data augmentation techniques were used to overcome the challenge of limited training data and enhance the size of the dataset. To the best of our knowledge, this is the first research effort to use advanced machine learning techniques to predict older adults' daily adherence to cognitive training programs. Experimental evaluations corroborated the promise and potential of deep learning models for adherence prediction, which furnished highest mean F-scores of 75.5, 75.5, and 74.6% for the Convolution Neural Network (CNN), Long Short-Term Memory (LSTM) network, and CNN-LSTM models respectively.

A Machine-Learning Based Approach for Predicting Older Adults' Adherence to Technology-Based Cognitive Training.

Adequate adherence is a necessary condition for success with any intervention, including for computerized cognitive training designed to mitigate age-related cognitive decline. Tailored prompting systems offer promise for promoting adherence and facilitating intervention success. However, developing adherence support systems capable of just-in-time adaptive reminders requires understanding the factors that predict adherence, particularly an imminent adherence lapse. In this study we built machine learning models to predict participants' adherence at different levels (overall and weekly) using data collected from a previous cognitive training intervention. We then built machine learning models to predict adherence using a variety of baseline measures (demographic, attitudinal, and cognitive ability variables), as well as deep learning models to predict the next week's adherence using variables derived from training interactions in the previous week. Logistic regression models with selected baseline variables were able to predict overall adherence with moderate accuracy (AUROC: 0.71), while some recurrent neural network models were able to predict weekly adherence with high accuracy (AUROC: 0.84-0.86) based on daily interactions. Analysis of the post hoc explanation of machine learning models revealed that general self-efficacy, objective memory measures, and technology self-efficacy were most predictive of participants' overall adherence, while time of training, sessions played, and game outcomes were predictive of the next week's adherence. Machine-learning based approaches revealed that both individual difference characteristics and previous intervention interactions provide useful information for predicting adherence, and these insights can provide initial clues as to who to target with adherence support strategies and when to provide support. This information will inform the development of a technology-based, just-in-time adherence support systems.

The Impact of the COVID-19 Pandemic on Business Ownership Across Racial/Ethnic Groups and Gender.

This study examined the economic impact of the COVID-19 pandemic on US older entrepreneurs' businesses using the Health and Retirement Study. We estimated logistic regression models to document the odds of experiencing economic impact. The COVID-19 pandemic has affected nearly 76% of US older entrepreneurs but has disproportionately impacted the businesses of Black, Hispanic, Asian/other races, and women entrepreneurs. Older Black entrepreneurs had significantly higher odds of facing business closure (OR = 2.31, p < .01), implementing new procedures (OR = 2.44, p < .01), workers quitting (OR = 2.95, p < .001), and difficulty paying regular bills (OR = 2.88, p < .001) than their White counterparts. Older Hispanic entrepreneurs also had significantly higher odds of instituting new procedures (OR = 2.27, p < .05), workers quitting (OR = 2.26, p < .01), and difficulty paying regular bills (OR = 2.35, p < .01) than their White counterparts. Similarly, older Asian/other races entrepreneurs were significantly more likely to report difficulty paying regular bills since the start of the pandemic than their White counterparts (OR = 3.11, p < .01). Women entrepreneurs were significantly more likely to close their businesses than their male counterparts (OR = 2.11, p < .001). These significant associations persisted after controlling for confounders. Support for underserved racial/ethnic groups and older women entrepreneurs should focus on accessibility to financial services, capital, and support packages as well as legislative support for ensuring business continuity and success.

The Project ENABLE Cornerstone randomized controlled trial: study protocol for a lay navigator-led, early palliative care coaching intervention for African American and rural-dwelling advanced cancer family caregivers.

BACKGROUND: Family caregivers play a vital, yet stressful role in managing the healthcare needs and optimizing the quality of life of patients with advanced cancer, from the time they are newly diagnosed until end of life. While early telehealth palliative care has been found to effectively support family caregivers, little work has focused on historically under-resourced populations, particularly African American and rural-dwelling individuals. To address this need, we developed and are currently testing Project ENABLE (Educate, Nurture, Advise, Before Life Ends) Cornerstone, a lay navigator-led, early palliative care coaching intervention for family caregivers of African American and rural-dwelling patients with newly diagnosed advanced cancer. METHODS: This is a 2-site, single-blind, hybrid type I implementation-effectiveness trial of the Cornerstone intervention versus usual care. Cornerstone is a multicomponent intervention based on Pearlin's Stress-Health Process Model where African American and/or rural-dwelling family caregivers of patients with newly diagnosed advanced cancer (target sample size = 294 dyads) are paired with a lay navigator coach and receive a series of six, brief 20-60-min telehealth sessions focused on stress management and coping, caregiving skills, getting help, self-care, and preparing for the future/advance care planning. Subsequent to core sessions, caregivers receive monthly follow-up indefinitely until the patient's death. Caregiver and patient outcomes are collected at baseline and every 12 weeks until the patient's death (primary outcome: caregiver distress at 24 weeks; secondary outcomes: caregiver: quality of life and burden; patient: distress, quality of life, and healthcare utilization). Implementation costs and the intervention cost effectiveness are also being evaluated. DISCUSSION: Should this intervention demonstrate efficacy, it would yield an implementation-ready model of early palliative care support for under-resourced family caregivers. A key design principle that has centrally informed the Cornerstone intervention is that every caregiving situation is unique and each caregiver faces distinct challenges that cannot be addressed using a one-size-fits all approach. Hence, Cornerstone employs culturally savvy lay navigator coaches who are trained to establish a strong, therapeutic alliance with participants and tailor their coaching to a diverse range of individual circumstances. TRIAL REGISTRATION: ClinicalTrials.gov NCT04318886 . Registered on 20 March, 2020.

An Early Palliative Care Telehealth Coaching Intervention to Enhance Advanced Cancer Family Caregivers' Decision Support Skills: The CASCADE Pilot Factorial Trial.

CONTEXT: Patients with advanced cancer often involve family caregivers in health-related decision-making from diagnosis to end-of-life; however, few interventions have been developed to enhance caregiver decision support skills. OBJECTIVES: Assess the feasibility, acceptability, and potential efficacy of individual intervention components of CASCADE (CAre Supporters Coached to be Adept DEcision Partners), an early telehealth, palliative care coach-led decision support training intervention for caregivers. METHODS: Pilot factorial trial using the multiphase optimization strategy (October 2019-October 2020). Family caregivers and their care recipients with newly-diagnosed advanced cancer (n = 46 dyads) were randomized to1 of 8 experimental conditions that included a combination of one of the following three CASCADE components: 1) effective decision support psychoeducation; 2) decision support communication training; and 3) Ottawa Decision Guide training. Feasibility was assessed by completion of sessions and questionnaires (predefined as ≥80%). Acceptability was determined through postintervention interviews and participants' ratings of their likelihood to recommend. Measures of effective decision support and caregiver and patient distress were collected at Twelve and Twenty four weeks. RESULTS: Caregiver participants completed 78% of intervention sessions and 81% of questionnaires; patients completed 80% of questionnaires. Across conditions, average caregiver ratings for recommending the program to others was 9.9 on a scale from 1-Not at all likely to 10-Extremely likely. Individual CASCADE components were observed to have potential benefit for effective decision support and caregiver distress. CONCLUSION: We successfully piloted a factorial trial design to examine components of a novel intervention to enhance the decision support skills of advanced cancer family caregivers. A fully-powered factorial trial is warranted. KEY MESSAGE: We pilot tested components of CASCADE, an early palliative care decision support training intervention for family caregivers of patients with advanced cancer. CASCADE components were acceptable and the trial design feasible, providing promising future directions for palliative care intervention development and testing. Pilot results will inform a fully-powered trial.

A lay navigator-led, early palliative care intervention for African American and rural family caregivers of individuals with advanced cancer (Project Cornerstone): Results of a pilot randomized trial.

BACKGROUND: The objective of this study was to assess the feasibility, acceptability, and potential efficacy of ENABLE (Educate, Nurture, Advise, Before Life Ends) Cornerstone-a lay navigator-led, early palliative care telehealth intervention for African American/Black and/or rural-dwelling family caregivers of individuals with advanced cancer (ClinicalTrials.gov identifier NCT03464188). METHODS: This was a pilot randomized trial (November 2019 to March 2021). Family caregivers of patients with newly diagnosed, stage III/IV, solid-tumor cancers were randomized to receive either an intervention or usual care. Intervention caregivers were paired with a specially trained lay navigator who delivered 6 weekly, 20-minute to 60-minute telehealth coaching sessions plus monthly follow-up for 24 weeks, reviewing skills in stress management, self-care, getting help, staying organized, and future planning. Feasibility was assessed according to the completion of sessions and questionnaires (predefined as a completion rate ≥80%). Acceptability was determined through intervention participants' ratings of their likelihood of recommending the intervention. Measures of caregiver distress and quality of life were collected at 8 and 24 weeks. RESULTS: Sixty-three family caregivers were randomized (usual care, n = 32; intervention, n = 31). Caregivers completed 65% of intervention sessions and 87% of questionnaires. Average ratings for recommending the program were 9.4, from 1 (not at all likely) to 10 (extremely likely). Over 24 weeks, the mean ± SE Hospital Anxiety and Depression Scale score improved by 0.30 ± 1.44 points in the intervention group and worsened by 1.99 ± 1.39 points in the usual care group (difference, -2.29; Cohen d, -0.32). The mean between-group difference scores in caregiver quality of life was -1.56 (usual care - intervention; d, -0.07). Similar outcome results were observed for patient participants. CONCLUSIONS: The authors piloted ENABLE Cornerstone, an intervention for African American and rural-dwelling advanced cancer family caregivers. The acceptability of the intervention and data collection rates were high, and the preliminary efficacy for caregiver distress was promising. LAY SUMMARY: To date, very few programs have been developed to support under-resourced cancer family caregivers. To address this need, the authors successfully pilot tested an early palliative care program, called Educate, Nurture, Advise, Before Life Ends (ENABLE) Cornerstone, for African American and rural family caregivers of individuals with advanced cancer. Cornerstone is led by specially trained lay people and involves a series of weekly phone sessions focused on coaching caregivers to manage stress and provide effective support to patients with cancer. The authors are now testing Cornerstone in a larger trial. If the program demonstrates benefit, it may yield a model of caregiver support that could be widely implemented.

Sources of nonreplicability in aging ethnoracial health disparities research.

The older adult population in the U.S. is becoming increasingly diverse across a constellation of factors including ethnoracial group, socioeconomic status, and immigration status. However, our understanding of the consequences of this diversity for cognitive and mental health is masked by the lack of inclusion of diverse sample characteristics, the use of assessments that might hold a different meaning for different groups of people, and analytical choices that do not probe the impact of diverse characteristics or assume an unwarranted degree of homogeneity within groups. Each of these factors not only hinders our ability to understand various psychological mechanisms that differ as a function of age but also threatens the likelihood of replicability across aging research studies. This article provides our perspective on three key sources of nonreplicability in ethnoracial health disparities research among older adults: (a) what is lost in creating monolithic groups rather than identifying subgroups of minorities, (b) understanding aging from the perspective of intersecting identities, and (c) biases of research materials. We also provide recommendations to increase replicability in aging research with respect to the challenges outlined. Approaching questions on aging from a health disparities lens can both increase the generalizability of research outcomes and improve initiatives of social justice that are long overdue. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

A Mixed-Effects Model of Associations Between Interleukin-6 and Hippocampal Volume.

Previous studies report hippocampal volume loss can help predict conversion from normative aging to mild cognitive impairment to dementia. Additionally, a growing literature indicates that stress-related allostatic load may increase disease vulnerability. The current study examined the relationship between stress-related cytokines (ie, interleukin-6 [IL-6]), cognition as measured by Mini-Mental State Examination (MMSE) scores, and hippocampal volume. Mixed models were employed to examine both within- (across time) and between-subject effects of IL-6 and hippocampal volume on MMSE score among 566 participants from the Alzheimer's Disease Neuroimaging Initiative (ADNI). The within-subject analysis found left hippocampal volume significantly (p = .009) predicted MMSE score. Between-subject analysis found the effect of IL-6 on MMSE was moderated by right hippocampal volume (p = .001). These results replicate previous findings and also extend prior work demonstrating stress-related cytokines may play a role in Alzheimer's disease progression.

Relative effectiveness of general versus specific cognitive training for aging adults.

In the present study, we examined three experimental cognitive interventions, two targeted at training general cognitive abilities and one targeted at training specific instrumental activities of daily living (IADL) abilities, along with one active control group to compare benefits of these interventions beyond expectation effects, in a group of older adults (N = 230). Those engaged in general training did so with either the web-based brain game suite BrainHQ or the strategy video game Rise of Nations, while those trained on IADL skills completed instructional programs on driving and fraud awareness. Active control participants completed sets of puzzles. Comparing baseline and postintervention data across conditions, none of the preregistered primary outcome measures demonstrated a significant interaction between session and intervention condition, indicating no differential benefits. Analysis of expectation effects showed differences between intervention groups consistent with the type of training. Those in the IADL training condition did demonstrate superior knowledge for specific trained information (driving and finances). Twelve months after training, significant interactions between session and intervention were present in the primary measure of fraud detection, as well as the secondary measures of the letter sets task and Rey's Auditory Verbal Learning Test. However, the specific source of these interactions was difficult to discern. At 1-year follow-up those in the IADL condition did not maintain superior knowledge of driving and finances gained through training, as was present immediately postintervention. Hence, the interventions, when compared to an active control condition, failed to show general or specific transfer in a meaningful or consistent way. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Disparities and Racism Experienced Among Older African Americans Nearing End of Life.

Purpose of Review: The purpose of this review is to examine racism in healthcare as it relates to older African American adults. We focus on health disparities in old age and medical mismanagement throughout their lifespan. Recent Findings: In the United States there have been extensive medical advances over the past several decades. Individuals are living longer, and illnesses that were deemed terminal in the past are now considered chronic illnesses. While most individuals living with chronic illness have experienced better quality of life, this is not the case for many African American older adults. Summary: Older African American adults are less likely to have their chronic illness sufficiently managed and are more likely to die from chronic illnesses that are well controlled in Whites. African American older adults also continue to suffer from poorer healthcare outcomes throughout the lifespan to end-of-life.

Health Professionals Palliative Care Education for Older Adults: Overcoming Ageism, Racism, and Gender Bias.

Purpose of review: Most aging Americans lack access to specialist palliative care aimed at those experiencing serious illness and/or high symptom burden at end of life. The curricula used by training programs for all healthcare professions should focus on helping learners develop the primary palliative care skills and competencies necessary to provide compassionate bias-free care for adults with serious illness. We believe there is much opportunity to improve this landscape via the incorporation of palliative care competencies throughout generalist healthcare professional programs. Recent findings: Several recent publications highlight multiple issues with recruitment and retention of diverse students and faculty into healthcare professional training programs. There are also concerns that the curricula are reinforcing age, race, and gender biases. Due to these biases, healthcare professionals graduate from their training programs with socialized stereotypes unquestioned when caring for older adult minority patients and caregivers. Summary: Important lessons must be incorporated to assure that bias against age, race, and gender are discovered and openly addressed in healthcare professional's education programs. This review highlights these three types of bias and their interrelationships with the aim of revealing hidden truths in the education of healthcare professionals. Ultimately, we offer targeted recommendations of focus for programs to address implicit bias within their curricula.

Protecting our Elders and Developing Equitable Policies During Public Health Emergencies: Ethical Recommendations.

Purpose of the Review: Experiences of patients, families, healthcare workers and health systems during the COVID-19 pandemic and recent national focus on racial justice have forced a reconsideration of policies and processes of providing care in crisis situations when resources are scarce. The purpose of this review is to present recent developments in conceptualizing ethical crisis standards. Recent findings: Several recent papers have raised concerns that "objective" scarce resource allocation protocols will serve to exacerbate underlying social inequities. Older adults and their formal and informal caregivers suffered from intersecting planning failures including lack of adequate stockpiling of personal protective equipment, failure to protect essential workers, neglect of long-term care facilities and homecare in disaster planning and de-prioiritization in triage algorithms. Summary: Revision of disaster planning guidelines is urgent. The time is now to apply lessons learned from COVID-19 before another disaster occurs. We present several suggestions for future plans.

Rural Older Adults in Disasters: A Study of Recovery From Hurricane Michael.

OBJECTIVE: This study aims for a greater understanding of how older adults (age 65 and older) in Jackson County, Florida, are prepared for and cope with the effects of a natural disaster. METHODS: A multidisciplinary, international research team developed a survey examining: (1) resources available to individuals aged 65+ in rural communities for preparing for a disaster; (2) challenges they face when experiencing a disaster; and (3) their physical, social, emotional, and financial needs when it strikes. The survey was administered with older adults (65+) in Jackson County, Florida, following Hurricane Michael in 2018. The descriptive, multivariate logistic, and linear regression analyses were performed to examine the relationship between respondents' demographic information and needs, concerns, and consequences of disaster. RESULTS: Results indicated (n = 139) rural community-dwelling older adults rely on social support, community organizations, and trusted disaster relief agencies to prepare for and recover from disaster-related events. CONCLUSIONS: Such findings can be used to inform the development of new interventions, programs, policies, practices, and tools for emergency management and social service agencies to improve disaster preparedness and resiliency among older populations in rural communities.

Exploring Individuals' Willingness to Engage in Interventions to Improve Cognitive Health and Prolong Late-Life Independence: An Extension of Harrell, Kmetz, and Boot (2019).

Interventions designed to preserve cognition have become increasingly popular as our population ages. In exploring intervention effectiveness, however, researchers have often overlooked a potentially important factor: willingness to engage. Recent findings from Harrell, Kmetz, Boot (2019) showed that perceived cognitive deficits and perceived training efficacy were significant predictors of willingness to engage in a brain training intervention designed to preserve cognition. However, they did not explore another potentially important factor: anticipated intervention enjoyment. In the current study, younger, middle-aged, and older adults (N = 169) completed surveys that assessed their willingness to engage in different types of training (aerobic exercise, brain, meditation) to improve cognition and the extent that factors such as health, perceived cognitive deficits, belief in training efficacy, and personality contributed to willingness to engage. Participants reported being least willing to engage in meditation training and meditation training was rated by participants as the least likely to improve cognition. Anticipated training enjoyment was the overriding factor that predicted willingness. These findings provide additional insights into why, and for how long, individuals may be willing to engage in training to prolong independence and have implications for understanding intervention adoption and adherence.