Katherine A. Yeager

Purpose Patients diagnosed with chronic myeloid leukemia (CML) are at risk of developing financial toxicity (FT) due to the high cost of tyrosine kinase inhibitor (TKI) treatment and other cancer-related costs. This theory-based study evaluated relationships between risk factors, patients’ behaviors, FT experience, and health outcomes among survivors of CML. Methods We collected cross-sectional survey data from 129 adults with CML prescribed a TKI from 10/2019 to 01/2024. Instruments included measures of FT, patients’ behaviors related to FT (financial sacrifices, non-adherence, and debt or bankruptcy), and health outcomes (psychoneurological symptom cluster severity, health-related quality of life, and distress). Risk factors were collected via a sociodemographic questionnaire and researcher-abstracted medical record data. Structural equation modeling was used to test the adapted theoretical model of FT. Results Participants were relatively young (mean ± standard deviation 49.7 ± 15.5, median 51, 19–84 years) and balanced in sex (49% female) and race (43% non-White); median time since diagnosis was 57 months. A higher level of FT was directly associated with adverse health outcomes (standardized coefficient = 0.33, P < .01), with patients’ behaviors as mediators (mediating total effects = 0.62, P < .001). Risk factors, including lower education, lower income, non-private insurance, and being a racial minority, were positively associated with higher levels of FT (standardized coefficient = 0.51, P < .001). Conclusions Our findings support hypothesized pathways and help validate the theoretical model that contributes to understanding patients’ FT experience. Further investigation is needed to explicate the longitudinal nature of FT, patients’ behaviors, and outcomes to guide better methods of risk assessment and inform intervention development.

Background: Despite known links between oral health and dementia and the growing understanding of the role of the human microbiome in health, few studies have explored the relationship between the oral microbiome and cognition. Additionally, there is a notable absence of research on how the oral microbiome is associated with cognitive function in Black adult caregivers of cancer patients despite their elevated risk for both oral disease and cognitive impairment. Objectives: This study aimed to characterize the oral microbiome of Black caregivers of people living with cancer and explore the association of the oral microbiome with cognitive performance. Methods: Thirty-one self-identified Black or African American caregivers of cancer patients in the greater metropolitan Atlanta area participated in the study. They provided oral microbiome samples. Cognitive performance was assessed using the Montreal Cognitive Assessment (MoCA), depressive symptoms with the Center for Epidemiological Studies-Depression Scale, and individual race-related stress with the Index of Race-Related Stress–Brief. Salivary microbiome diversity was analyzed using alpha and beta diversity metrics, and taxa associated with cognition were identified through differential abundance testing, adjusting for potential confounders. Results: The mean age of participants was 54.8 years. MoCA scores ranged from 18 to 30, with a mean of 25. Participants were categorized into normal cognition (MoCA ≥ 26, n = 12) and low cognition (MoCA < 26, n = 16) groups. Education level and individual race-related stress were associated with cognition group and were controlled for in the oral microbiome analysis. Alpha and beta diversity analyses showed no significant overall differences between cognition groups. Differential abundance testing suggested 48 taxa were associated with cognition status, many of which are known to be associated with periodontal disease and cognition. Discussion: This study revealed associations between cognition status and specific oral bacteria, many of which are known to be associated with periodontal disease and cognitive impairment. These findings underscore the complex relationship between oral health and cognitive function, suggesting a need for further research to develop oral microbiome profiles capable of identifying individuals at risk for cognitive decline and guiding targeted interventions for promoting overall well-being and cognitive health.

Evidence supports that the Health Belief Model (HBM) can explain and predicts certain health behaviors, including participation in cervical cancer (CC) screening. The purpose of this study was to evaluate the psychometric properties of a modified HBM for CC and visual inspection with acetic acid (VIA) in female healthcare professionals in Addis Ababa, Ethiopia, 2020. Psychometric properties related to CC and VIA were tested using 42-item modified HBM self-administered questionnaire and a cross-sectional study design with simple random sampling. Kaiser-Meyer-Olkin and Bartlett’s sphericity test indicated that data sampling adequacy for exploratory factor analysis was 0.792 (χ2 = 3189.95, df = 351, p < .001). Items with cross-loading and factor loadings ≥ 0.5 were retained. Confirmatory factor analysis (CFA) was conducted to determine model fit. The final analysis included 194 women, (mean age 30±4.34). Twelve items with ≤ 0.5 were removed and 30 retained items loaded into 6 factors; (benefits of VIA, perceived seriousness of CC, barrier (fear of negative outcome), self-efficacy, susceptibility to CC, and barriers (health system delivery)) explained 65% of the total variance. Cronbach’s alpha for the total instrument was 0.8 and reliability for the 6 subscales was 0.76–0.92. Composite reliability and average variance extracted indicated good internal consistency and convergent validity. CFA identified 6 additional items to be removed with high residual covariance. The final 24 items of the modified HBM had an acceptable model fit (goodness-of-fit index (GFI) = 0.861, adjusted GFI = 0.823, comparative fit index = 0.937, root mean square error of approximation = 0.059). The modified HBM for CC and VIA with 24 items had adequate psychometric properties and may be used by Ethiopian healthcare professionals for research or clinical purposes. To support external validity the updated 24 items tool is suggested for application in further study in different populations in Ethiopia.

PURPOSESocioeconomic differences are partially responsible for racial inequities in cancer outcomes, yet the association of area-level socioeconomic disadvantage and race with end-of-life (EOL) cancer care quality is poorly understood.METHODSThis retrospective study used electronic medical records from an academic health system to identify 33,635 adults with cancer who died between 2013 and 2019. Using multivariable logistic regression, we examined associations between decedent characteristics and EOL care, including emergency department (ED) visits, intensive care unit (ICU) stays, palliative care consultation (PCC), hospice order, and in-hospital deaths. Social deprivation index was used to measure socioeconomic disadvantages.RESULTSRacially minoritized decedents had higher odds of ICU stay than the least deprived White decedents (eg, other race Q3: aOR, 2.06 [99% CI, 1.26 to 0.3.39]). White and Black decedents from more deprived areas had lower odds of ED visit (White Q3: aOR, 0.382 [99% CI, 0.263 to 0.556]; Black Q3: aOR, 0.566 [99% CI, 0.373 to 0.858]) than least deprived White decedents. Compared with White decedents living in least deprived areas, racially minoritized decedents had higher odds of receiving PCC and hospice order, whereas White decedents in most deprived areas had lower odds of PCC (aOR, 0.727 [99% CI, 0.592 to 0.893]) and hospice order (aOR, 0.845 [99% CI, 0.724 to 0.986]). Greater deprivation was associated with greater odds of hospital death relative to least deprived White decedents, but only among minoritized decedents (eg, Black Q4: aOR, 2.16 [99% CI, 1.82 to 2.56]).CONCLUSIONArea-level socioeconomic disadvantage is not uniformly associated with poorer EOL cancer care, with differences among decedents of different racial groups. Among minoritized pts, up arrow social deprivation assoc w up arrow receipt of #hapc & also up arrow receipt of EOL ICU care & hospital death

Sleep disturbance is prevalent among caregivers of people living with dementia. However, gaps exist about caregivers’ sleep patterns before and during their caregiving trajectory. This exploratory secondary analysis using a qualitative descriptive approach aimed to (1) identify and describe current caregivers’ patterns of change in sleep before and during caregiving, and (2) understand caregivers’ perceptions of their current sleep compared to their pre-caregiving sleep. We conducted semi-structured interviews with 19 caregivers taking part in a larger randomized controlled trial. Participants were female (n = 11), white (n = 13) and on average 63 years of age. Interview questions focused on caregivers’ sleep patterns. The interviews were audio-recorded using a videoconferencing platform and ranged from 20 to 45 minutes. We conducted thematic analysis of the interview transcripts. Three distinct caregiver-sleep profiles emerged from the qualitative data: changed and dissatisfied, changed and satisfied, and unchanged and dissatisfied. Caregivers whose sleep was categorized as changed reported a difference when comparing their current sleep pattern to their pre-caregiving sleep pattern. This was usually a change from good to poor sleep. Caregivers whose sleep was unchanged had poor sleep pre-caregiving and continued to have poor sleep during caregiving. Caregivers also reported being satisfied or dissatisfied with their current sleep pattern, defined in terms of distress and impairment. These three subtypes highlight the heterogeneity of caregivers’ sleep experiences and debut a useful clinical framework with which to identify, categorize, and target caregivers at risk for sleep disturbance, many who may be ready to engage in behaviors to improve their sleep. Knowing caregivers’ sleep profiles will enable health care providers and researchers to determine caregivers’ needs and readiness for interventions then work collaboratively with them to improve their sleep problems.

Purpose: By requiring specific measures, cancer endorsements (e.g., accreditations, designations, certifications) promote high-quality cancer care. While 'quality' is the defining feature, less is known about how these endorsements consider equity. Given the inequities in access to high-quality cancer care, we assessed the extent to which equity structures, processes, and outcomes were required for cancer center endorsements. Methods: We performed a content analysis of medical oncology, radiation oncology, surgical oncology, and research hospital endorsements from the American Society of Clinical Oncology (ASCO), American Society of Radiation Oncology (ASTRO), American College of Surgeons Commission on Cancer (CoC), and the National Cancer Institute (NCI), respectively. We analyzed requirements for equity-focused content and compared how each endorsing body included equity as a requirement along three axes: structures, processes, and outcomes. Results: ASCO guidelines centered on processes assessing financial, health literacy, and psychosocial barriers to care. ASTRO guidelines related to language needs and processes to address financial barriers. CoC equity-related guidelines focused on processes addressing financial and psychosocial concerns of survivors, and hospital-identified barriers to care. NCI guidelines considered equity related to cancer disparities research, inclusion of diverse groups in outreach and clinical trials, and diversification of investigators. None of the guidelines explicitly required measures of equitable care delivery or outcomes beyond clinical trial enrollment. Conclusion: Overall, equity requirements were limited. Leveraging the influence and infrastructure of cancer quality endorsements could enhance progress toward achieving cancer care equity. We recommend that endorsing organizations 1) require cancer centers to implement processes for measuring and tracking health equity outcomes and 2) engage diverse community stakeholders to develop strategies for addressing discrimination.