Hybrid framework of fatigue: connecting motivational control and computational moderators to gamma oscillations.

Introduction: There is a need to develop a comprehensive account of time-on-task fatigue effects on performance (i.e., the vigilance decrement) to increase predictive accuracy. We address this need by integrating three independent accounts into a novel hybrid framework. This framework unites (1) a motivational system balancing goal and comfort drives as described by an influential cognitive-energetic theory with (2) accumulating microlapses from a recent computational model of fatigue, and (3) frontal gamma oscillations indexing fluctuations in motivational control. Moreover, the hybrid framework formally links brief lapses (occurring over milliseconds) to the dynamics of the motivational system at a temporal scale not otherwise described in the fatigue literature. Methods: EEG and behavioral data was collected from a brief vigilance task. High frequency gamma oscillations were assayed, indexing effortful controlled processes with motivation as a latent factor. Binned and single-trial gamma power was evaluated for changes in real- and lagged-time and correlated with behavior. Functional connectivity analyses assessed the directionality of gamma power in frontal-parietal communication across time-on-task. As a high-resolution representation of latent motivation, gamma power was scaled by fatigue moderators in two computational models. Microlapses modulated transitions from an effortful controlled state to a minimal-effort default state. The hybrid models were compared to a computational microlapse-only model for goodness-of-fit with simulated data. Results: Findings suggested real-time high gamma power exhibited properties consistent with effortful motivational control. However, gamma power failed to correlate with increases in response times over time, indicating electrophysiology and behavior relations are insufficient in capturing the full range of fatigue effects. Directional connectivity affirmed the dominance of frontal gamma activity in controlled processes in the frontal-parietal network. Parameterizing high frontal gamma power, as an index of fluctuating relative motivational control, produced results that are as accurate or superior to a previous microlapse-only computational model. Discussion: The hybrid framework views fatigue as a function of a energetical motivational system, managing the trade-space between controlled processes and competing wellbeing needs. Two gamma computational models provided compelling and parsimonious support for this framework, which can potentially be applied to fatigue intervention technologies and related effectiveness measures.

How Health Care Organizations Are Implementing Disability Accommodations for Effective Communication: A Qualitative Study.

BACKGROUND: Prior studies have documented that, despite federal mandates, clinicians infrequently provide accommodations that enable equitable health care engagement for patients with communication disabilities. To date, there has been a paucity of empirical research describing the organizational approach to implementing these accommodations. The authors asked US health care organizations how they were delivering these accommodations in the context of clinical care, what communication accommodations they provided, and what disability populations they addressed. METHODS: In this study, 19 qualitative interviews were conducted with disability coordinators representing 15 US health care organizations actively implementing communication accommodations. A conventional qualitative content analysis approach was used to code the data and derive themes. RESULTS: The authors identified three major themes related to how US health care organizations are implementing the provision of this service: (1) Operationalizing the delivery of communication accommodations in health care required executive leadership support and preparatory work at clinic and organization levels; (2) The primary focus of communication accommodations was sign language interpreter services for Deaf patients and, secondarily, other hearing- and visual-related accommodations; and (3) Providing communication accommodations for patients with speech and language and cognitive disabilities was less frequent, but when done involved more than providing a single aid or service. CONCLUSION: These findings suggest that, in addition to individual clinician efforts, there are organization-level factors that affect consistent provision of communication accommodations across the full range of communication disabilities. Future research should investigate these factors and test targeted implementation strategies to promote equitable access to health care for all patients with communication disabilities.

Disparities in Smoking and Heavy Drinking Behaviors by Disability Status and Age of Disability Onset: Secondary Analysis of National Health Interview Survey Data.

OBJECTIVES: People with childhood-onset disabilities are living into adulthood, and the prevalence of smoking and illicit drug use among adults with disabilities is high. We evaluated the relationship between disability status and age of disability onset, current cigarette smoking status, and heavy alcohol drinking. METHODS: We conducted a secondary data analysis of the National Health Interview Survey (NHIS), a US survey on illness and disability. Among 2020 NHIS participants aged 22-80 years (n = 28 225), we compared self-reported prevalence of current cigarette smoking and heavy alcohol drinking among those with and without disabilities and among those with childhood- versus adult-onset disabilities. We used adjusted logistic regression analysis to calculate the adjusted odds ratios (AORs) of current smoking and heavy alcohol drinking based on disability status and age of disability onset. RESULTS: Compared with adults without disabilities, adults with disabilities were significantly more likely to report current smoking (23.5% vs 11.2%; P < .001) and significantly less likely to report heavy alcohol drinking (5.3% vs 7.4%; P = .001). The prevalence of these behaviors did not vary significantly by age of disability onset. In adjusted logistic regression models, adults with disabilities had significantly higher odds of current smoking (AOR = 1.76; 95% CI, 1.53-2.03) and similar odds of heavy alcohol drinking (AOR = 0.82; 95% CI, 0.65-1.04) compared with adults without disabilities. The odds of these health behaviors did not vary significantly by age of disability onset. CONCLUSIONS: Adults with disabilities overall may be at high risk for these unhealthy behaviors, particularly smoking, regardless of age of disability onset. Routine screening and cessation counseling related to smoking and unhealthy alcohol use are important for all people with disabilities.

Pre-Bleaching Coral Microbiome Is Enriched in Beneficial Taxa and Functions.

Coral reef health is tightly connected to the coral holobiont, which is the association between the coral animal and a diverse microbiome functioning as a unit. The coral holobiont depends on key services such as nitrogen and sulfur cycling mediated by the associated bacteria. However, these microbial services may be impaired in response to environmental changes, such as thermal stress. A perturbed microbiome may lead to coral bleaching and disease outbreaks, which have caused an unprecedented loss in coral cover worldwide, particularly correlated to a warming ocean. The response mechanisms of the coral holobiont under high temperatures are not completely understood, but the associated microbial community is a potential source of acquired heat-tolerance. Here we investigate the effects of increased temperature on the taxonomic and functional profiles of coral surface mucous layer (SML) microbiomes in relationship to coral-algal physiology. We used shotgun metagenomics in an experimental setting to understand the dynamics of microbial taxa and genes in the SML microbiome of the coral Pseudodiploria strigosa under heat treatment. The metagenomes of corals exposed to heat showed high similarity at the level of bacterial genera and functional genes related to nitrogen and sulfur metabolism and stress response. The coral SML microbiome responded to heat with an increase in the relative abundance of taxa with probiotic potential, and functional genes for nitrogen and sulfur acquisition. Coral-algal physiology significantly explained the variation in the microbiome at taxonomic and functional levels. These consistent and specific microbial taxa and gene functions that significantly increased in proportional abundance in corals exposed to heat are potentially beneficial to coral health and thermal resistance.

Sequential, Electrochemical-Photochemical Synthesis of 1,2,4-Triazolo-[4,3-a]pyrazines.

1,2,4-triazolo-[4,3-a]pyrazine was prepared via a two-step electrochemical, photochemical process. First, a 5-substituted tetrazole is electrochemically coupled to 2,6-dimethoxypyrazine to yield 1,5- and 2,5- disubstituted tetrazoles. Subsequent photochemical excitation of the 2,5-disubstituted tetrazole species using an ultraviolet lamp releases nitrogen gas and produces a short-lived nitrilimine intermediate. Subsequent cyclization of the nitrilimine intermediate yields a 1,2,4-triazolo-[4,3-a]pyrazine backbone. The scope of this reaction was explored using various tetrazoles and pyrazines. Materials produced were identified using chemical analytical techniques and computationally studied for potential application as an insensitive energetic material.

Multiscale entropy in a 10-minute vigilance task.

Research has shown multiscale entropy, brain signal behavior across time scales, to reliably increase at lower time scales with time-on-task fatigue. However, multiscale entropy has not been examined in short vigilance tasks (i.e., ≤ 10 min). Addressing this gap, we examine multiscale entropy during a 10-minute Psychomotor Vigilance Test (PVT). Thirty-four participants provided neural data while completing the PVT. We compared the first 2 min of the task to the 7th and 8th minutes to avoid end-spurt effects. Results suggested increased multiscale entropy at lower time scales later compared to earlier in the task, suggesting multiscale entropy is a strong marker of time-on-task fatigue onset during short vigils. Separate analyses for Fast and Slow performers reveal differential entropy patterns, particularly over visual cortices. Here, observed brain-behavior linkage between entropy and reaction time for slow performers suggests that entropy assays over sensory cortices might have predictive value for fatigue onset or shifts from on- to off-task states.

Drivers of Decision-Making for Adult Tracheostomy for Prolonged Mechanical Ventilation: A Qualitative Study.

Background: Decision-making about tracheostomy and prolonged mechanical ventilation (PMV) is emotionally complex. Expectations of surrogate decision-makers and physicians rarely align. Little is known about what surrogates need to make goal-concordant decisions. We sought to identify drivers of tracheostomy and PMV decision-making. Methods: Using Grounded Theory, we performed a qualitative study with semi-structured interviews with surrogates of patients receiving mechanical ventilation (MV) being considered for tracheostomy and physicians routinely caring for patients receiving MV. Recruitment was stopped when thematic saturation was reached. Separate codebooks were created for surrogate and physician interviews. Themes and factors affecting decision-making were identified and a theoretical model tracheostomy decision-making was developed. Results: 43 participants (23 surrogates and 20 physicians) completed interviews. A theoretical model of themes and factors driving decision-making emerged for the data. Hope, Lack of Knowledge & Data, and Uncertainty emerged as the three main themes all which were interconnected with one another and, at times, opposed each other. Patient Wishes, Past Activity/Medical History, Short and Long-Term Outcomes, and Meaningful Recovery were key factors upon which surrogates and physicians based decision-making. The themes were the lens through which the factors were viewed and decision-making existed as a balance between surrogate emotions and understanding and physician recommendations. Conclusions: Tracheostomy and prolonged MV decision-making is complex. Hope and Uncertainty were conceptual themes that often battled with one another. Lack of Knowledge & Data plagued both surrogates and physicians. Multiple tangible factors were identified that affected surrogate decision-making and physician recommendations. Implications: Understanding this complex decision-making process has the potential to improve the information provided to surrogates and, potentially, increase the goal concordant care and alignment of surrogate and physician expectations. Highlights: Decision-making for tracheostomy and prolonged mechanical ventilation is a complex interactive process between surrogate decision-makers and providers.Using a Grounded Theory framework, a theoretical model emerged from the data with core themes of Hope, Uncertainty, and Lack of Knowledge & Data that was shared by both providers and surrogates.The core themes were the lenses through which the key decision-making factors of Patient Wishes, Past Activity/Medical History, Short and Long-Term Outcomes, and Meaningful Recovery were viewed.The theoretical model provides a roadmap to design a shared decision-making intervention to improve tracheostomy and prolonged mechanical ventilation decision-making.

A toxic environment selects for specialist microbiome in poison frogs.

Shifts in microbiome community composition can have large effects on host health. It is therefore important to understand how perturbations, like those caused by the introduction of exogenous chemicals, modulate microbiome community composition. In poison frogs within the family Dendrobatidae, the skin microbiome is exposed to the alkaloids that the frogs sequester from their diet and use for defense. Given the demonstrated antimicrobial effects of these poison frog alkaloids, these compounds may be structuring the skin microbial community. To test this, we first characterized microbial communities from chemically defended and closely related non-defended frogs from Ecuador. Then we conducted a laboratory experiment to monitor the effect of the alkaloid decahydroquinoline (DHQ) on the microbiome of a single frog species. In both the field and lab experiments, we found that alkaloid-exposed microbiomes are more species rich and phylogenetically diverse, with an increase in rare taxa. To better understand the strain-specific behavior in response to alkaloids, we cultured microbial strains from poison frog skin and found the majority of strains exhibited either enhanced growth or were not impacted by the addition of DHQ. Additionally, stable isotope tracing coupled to nanoSIMS suggests that some of these strains are able to metabolize DHQ. Taken together, these data suggest that poison frog chemical defenses open new niches for skin-associated microbes with specific adaptations, including the likely metabolism of alkaloids, that enable their survival in this toxic environment. This work helps expand our understanding of how exposure to exogenous compounds like alkaloids can impact host microbiomes.

Gamma Power as an Index of Sustained Attention in Simulated Vigilance Tasks.

Performance on the psychomotor vigilance test (PVT; Dinges & Powell, 1985)-a common index of sustained attention-is affected by the opposing forces of fatigue and sustained effort, where reaction times and error rates typically increase across trials and are sometimes offset by additional efforts deployed toward the end of the task (i.e., an "end-spurt"; cf. Bergum & Klein, 1961). In ACT-R (Adaptive Control of Thought-Rational; Anderson et al., 2004), these influences on task performance have been modeled as latent variables that are inferred from performance (e.g., Jongman, 1998; Veksler & Gunzelmann, 2018) without connections to directly observable variables. We propose the use of frontal gamma (γ) spectral power as a direct measure of vigilant effort and demonstrate its efficacy in modeling performance on the PVT in both the aggregate and in individuals.

Documentation of Disability Status and Accommodation Needs in the Electronic Health Record: A Qualitative Study of Health Care Organizations' Current Practices.

BACKGROUND: This qualitative study aimed to understand how early adopting health care organizations (HCOs) implement the documentation of patients' disability status and accommodation needs in the electronic health record (EHR). METHODS: The authors conducted qualitative interviews with HCOs that had active or past initiatives to implement systematic collection of disability status in the EHR. The interviews elicited participants' current experiences, desired features of a standard EHR build, and challenges and successes. A team-based analysis approach was used to review and summarize quotations to identify themes and categorize text that exemplified identified themes. RESULTS: Themes identified from the interviews included "why" organizations collected disability status; of "what" their EHR build consisted, including who collected, how often data were collected, and what data were collected; and "how" organizations were implementing systematic collection. The main purpose for collection of disability status and accommodation needs was to prepare for patients with disabilities. Due to this priority, participants believed collection should (1) occur prior to patients' clinical encounters, (2) be conducted regularly, (3) use standardized language, and (4) be available in a highly visible location in the EHR. Leadership support to integrate collection into existing workflows was essential for success. CONCLUSION: Patients with disabilities experience significant disparities in the receipt of equitable health care services. To provide equitable care, HCOs need to systematically collect disability status and accommodation needs in the EHR to ensure that they are prepared to provide equitable care to all patients with disabilities.

Physician views of artificial intelligence in otolaryngology and rhinology: A mixed methods study.

Objective: The study aimed to investigate otolaryngologists' knowledge, trust, acceptance, and concerns with clinical applications of artificial intelligence (AI). Methods: This study used mixed methods with survey and semistructured interviews. Survey was e-mailed to American Rhinologic Society members, of which a volunteer sample of 86 members responded. Nineteen otolaryngologists were purposefully recruited and interviewed until thematic saturation was achieved. Results: Seventy-six respondents (10% response rate) completed the majority of the survey: 49% worked in academic settings and 43% completed residency 10 or fewer years ago. Of 19 interviewees, 58% worked in academic settings, and 47% completed residency 10 or fewer years ago. Familiarity: Only 8% of survey respondents reported having AI training in residency, although 72% had familiarity with general AI concepts; 0 interviewees had personal experience with AI in clinical settings. Expected uses: Of the surveyed otolaryngologists, 82% would use an AI-based clinical decision aid and 74% were comfortable with AI proposing treatment recommendations. However, only 44% of participants would trust AI to identify malignancy and 53% to interpret radiographic images. Interviewees trusted AI for simple tasks, such as labeling septal deviation, more than complex ones, such as identifying tumors. Factors influencing AI adoption: 89% of survey participants would use AI if it improved patient satisfaction, 78% would be willing to use AI if experts and studies validated the technologies, and 73% would only use AI if it increased efficiency. Sixty-one percent of survey respondents expected AI incorporation into clinical practice within 5 years. Interviewees emphasized that AI adoption depends on its similarity to their clinical judgment and to expert opinion. Concerns included nuanced or complex cases, poor design or accuracy, and the personal nature of physician-patient relationships. Conclusion: Few physicians have experience with AI technologies but expect rapid adoption in the clinic, highlighting the urgent need for clinical education and research. Otolaryngologists are most receptive to AI "augmenting" physician expertise and administrative capacity, with respect for physician autonomy and maintaining relationships with patients. Level of Evidence: Level VI, descriptive or qualitative study.

Silver Lining Study: Missileer Fatigue Mitigation During 2020 Coronavirus Pandemic.

INTRODUCTION: The U.S. Air Force's Intercontinental Ballistic Missile (ICBM) force stands ready to launch weapons 365 days per year. Since its inception, missileers vigilantly operate launch consoles on a 3-day cycle: minimum 24-hour alert-shift/24-hour travel-admin/24-hour off, leading to concerns that health, morale, and alertness are chronically impacted. In 2020, a Missileer Occupational Health Assessment (OHA) revealed 76% of respondents struggle with being rested for duty and 29% of respondents never feel adequately rested for duty. Later that year, 20th Air Force initiated long-duration operations to safeguard from the SARS CoV-2 (COVID-19) Pandemic, resulting in increased operations tempo, and exacerbating crew fatigue.341st Operations Group and 341st Medical Group at Malmstrom Air Force Base enacted interventions to mitigate crew fatigue and support continued readiness during pandemic operations. They recorded, analyzed, and compiled findings in this report, including recommendations for long-term ICBM operations at Missile Wings. MATERIALS AND METHODS: All participants were Nuclear and Missile Operations Officers, or missileers, were continuously evaluated with qualitative and quantitative measures to ensure safety of the force during a period of unprecedented change. Interventions implemented and evaluated during the 9-month period included: environmental modifications, scheduling changes, and crew education on fatigue management, nutrition, anticipatory sleep preparation, and fitness. Most notably, the 341st Operations Group examined various 3-person and 4-person shift-length and alert duration schedules. Psychomotor vigilance testing results validated safety of operators and delta between pre- and post-shift measurements. Crew force readiness trends were analyzed for force-health awareness. Pre- and post-OHA results were compared for subjective changes. Fatigue and health-related outcomes were collected from a safety monitoring effort during standard and COVID-19 operations at 341st Missile Wing. RESULTS: Findings from qualitative and quantitative data indicate the optimal schedule is a 3-week cycle:7-day alert/7-day recovery/7-day training-administrative utilizing 4-member or 3-member crews for low tempo operations. Crews experimented with shift-lengths of 24hrs-on/24hrs-off, 16hrs-on/8hrs-off, and 12hrs-on/12hrs-off. Maximum safe alert duration is 7 days due to task fatigue onset between 8 and 10 days. Short and long duration Duties Not to Include Flight (DNIF) (also known as Duties Not to Include Alert (DNIA) among missileers) rates decreased from the first to last month of the period by 74.6% and 79.2%, respectively. The number of alerts missed per month decreased 86% from baseline. The 2021 OHA found a 7% decline in members seeking separation, and absence of sleep, fatigue, and physical or mental health as missileer concerns. CONCLUSIONS: This analysis has identified a sustainable alert rotation of 7/7/7 with emphasis on protected recovery and training time and has been continued after concluding pandemic operations, creating consistent schedule stability where there once was none. If executed properly, this alert rotation, regardless of shift-length selected, has potential to improve trust between crews and leadership, provides adequate recovery time between alerts to maintain health, and improves wellness, family stability, morale, unit cohesion, and crew force retention. Notably, all Air Force Global Strike Missile Operations Groups adjusted scheduling practices to align with these findings.

Preferred Communication Strategies for People with Communication Disabilities in Health Care Encounters: a Qualitative Study.

BACKGROUND: People with communication disabilities (CDs), which includes disabilities in speech, language, voice and/or hearing, experience health and healthcare disparities. A barrier to accessing high-quality, equitable care is the lack of effective communication between patients and their providers. OBJECTIVE: In designing a patient-prompted tool to facilitate communication, we analyzed qualitative feedback on communication strategies and the experience of people with CDs, caregivers, and providers in healthcare encounters. We aimed to describe communication strategies that patients with CDs find most useful and optimize a tool for patients to share their communication strategy preferences during clinical encounters. While patient-provider communication is paramount in every interaction, we aimed to highlight the intricacies of optimizing communication for this population. DESIGN: We performed a qualitative study utilizing focus groups and interviews with patients with CDs, their caregivers, and healthcare providers. PARTICIPANTS: A total of 46 individuals participated in focus groups or interviews; 26 participants self-reported a CD, nine were caregivers, and 11 were providers. Participants represented diverse types of CDs, including stuttering, aphasia, hearing loss, and people with autism or cerebral palsy who use assistive technology to communicate. APPROACH: Analysis of qualitative interview and focus group data was guided by a qualitative content analysis approach. KEY RESULTS: We identified three themes: (1) While communication strategies should be individualized, participants agreed upon a consolidated list of best strategies and accommodations. We used this consolidated list to finalize tool development. (2) Patients and providers preferred disclosure of the CD and desired communication strategies before the appointment. (3) Providers often do not use communication strategies and accommodations during clinical encounters. CONCLUSIONS: For patients with CDs, it is critical to acknowledge and document the CD and individualize communication strategies during healthcare visits to facilitate communication. Studies are needed to evaluate whether improved communication strategy usage leads to improved health outcomes for this population.

Profiling cognitive workload in an unmanned vehicle control task with cognitive models and physiological metrics.

In the present study, we use Cognitive Metrics Profiling (CMP) to capture variance in cognitive load within a complex unmanned vehicle control task. We aim to demonstrate convergent validity with existing workload measurement methods, and to decompose workload into constituent cognitive resources to aid in diagnosing causes of workload. A cognitive model of the task was developed and examined to determine the extent to which it could predict behavioral performance, subjective workload, and validated physiological workload metrics. We also examined model activity to draw insights regarding loaded cognitive capacities. We found that composite workload from the model predicted physiological metrics, performance, and subjective workload. Moreover, the model indicates that differences in workload were driven largely by procedural, declarative, and temporal memory demands. We have found preliminary evidence of correspondence between workload predictions of a CMP model and physiological measures of workload. This suggests our approach captures interesting aspects of workload in a complex task environment and may provide a theoretical link between behavioral, physiological, and subjective metrics. This approach may provide a means to design effective workload mitigation interventions and improve decision-making about personnel tasking and automation.

Acceleration-Based Kalman Tracking for Super-Resolution Ultrasound Imaging In Vivo.

Super-resolution ultrasound (SRUS) can image microvascular structure and flow at subwave-diffraction resolution based on localizing and tracking microbubbles (MBs). Currently, tracking MBs accurately under limited imaging frame rates and high MB concentrations remains a challenge, especially under the effect of cardiac pulsatility and in highly curved vessels. In this study, an acceleration-incorporated MB motion model is introduced into a Kalman tracking framework. The tracking performance was evaluated using simulated microvasculature with different MB motion parameters, concentrations, and acquisition frame rates, and in vivo human breast tumor US datasets. The simulation results show that the acceleration-based method outperformed the nonacceleration-based method at different levels of acceleration and acquisition frame rates and achieved significant improvement in true positive rate (TPR; up to 11.3%) and false negative rate (FNR; up to 13.2%). The proposed method can also reduce errors in vasculature reconstruction via the acceleration-based nonlinear interpolation, compared with linear interpolation (up to [Formula: see text]). The tracking results from temporally downsampled low frame rate in vivo datasets from human breast tumors show that the proposed method has better MB tracking performance than the baseline method, if using results from the initial high frame data as a reference. Finally, the acceleration estimated from tracking results also provides a spatial speed gradient map that may contain extra valuable diagnostic information.

Single-cell isotope tracing reveals functional guilds of bacteria associated with the diatom Phaeodactylum tricornutum.

Bacterial remineralization of algal organic matter fuels algal growth but is rarely quantified. Consequently, we cannot currently predict whether some bacterial taxa may provide more remineralized nutrients to algae than others. Here, we quantified bacterial incorporation of algal-derived complex dissolved organic carbon and nitrogen and algal incorporation of remineralized carbon and nitrogen in fifteen bacterial co-cultures growing with the diatom Phaeodactylum tricornutum at the single-cell level using isotope tracing and nanoSIMS. We found unexpected strain-to-strain and cell-to-cell variability in net carbon and nitrogen incorporation, including non-ubiquitous complex organic nitrogen utilization and remineralization. We used these data to identify three distinct functional guilds of metabolic interactions, which we termed macromolecule remineralizers, macromolecule users, and small-molecule users, the latter exhibiting efficient growth under low carbon availability. The functional guilds were not linked to phylogeny and could not be elucidated strictly from metabolic capacity as predicted by comparative genomics, highlighting the need for direct activity-based measurements in ecological studies of microbial metabolic interactions.

Parental experience and understanding of parent-provider discussions of treatment for infants with ureteropelvic junction obstruction.

Objective: The purpose of the current study was to understand what families identify as necessary information to guide decision-making in the treatment of their child with UPJO. Methods: We conducted semi-structured interviews with parents of children with UPJO using phenomenological methodology. Data were systematically analyzed according to principles of thematic analysis, using a team-based inductive approach. Results: 32 parents were interviewed. Findings are organized by three major themes including barriers to meaningful participation in decision making, logistical aspects of the decision, and psychosocial aspects of the decision. Conclusion: These findings suggest the need to increase parent education and understanding around medical and surgical decision-making, and the need to enhance psychosocial support for more meaningful parental engagement in the surgical decision-making process. Practice implications: The findings from the interviews highlight the importance of caregivers needing clear and accurate information in order to engage in meaningful discussions related to surgical decision-making for decisions around surgery for UPJO treatment.

Emergent community architecture despite distinct diversity in the global whale shark (Rhincodon typus) epidermal microbiome.

Microbiomes confer beneficial physiological traits to their host, but microbial diversity is inherently variable, challenging the relationship between microbes and their contribution to host health. Here, we compare the diversity and architectural complexity of the epidermal microbiome from 74 individual whale sharks (Rhincodon typus) across five aggregations globally to determine if network properties may be more indicative of the microbiome-host relationship. On the premise that microbes are expected to exhibit biogeographic patterns globally and that distantly related microbial groups can perform similar functions, we hypothesized that microbiome co-occurrence patterns would occur independently of diversity trends and that keystone microbes would vary across locations. We found that whale shark aggregation was the most important factor in discriminating taxonomic diversity patterns. Further, microbiome network architecture was similar across all aggregations, with degree distributions matching Erdos-Renyi-type networks. The microbiome-derived networks, however, display modularity indicating a definitive microbiome structure on the epidermis of whale sharks. In addition, whale sharks hosted 35 high-quality metagenome assembled genomes (MAGs) of which 25 were present from all sample locations, termed the abundant 'core'. Two main MAG groups formed, defined here as Ecogroup 1 and 2, based on the number of genes present in metabolic pathways, suggesting there are at least two important metabolic niches within the whale shark microbiome. Therefore, while variability in microbiome diversity is high, network structure and core taxa are inherent characteristics of the epidermal microbiome in whale sharks. We suggest the host-microbiome and microbe-microbe interactions that drive the self-assembly of the microbiome help support a functionally redundant abundant core and that network characteristics should be considered when linking microbiomes with host health.

Disability doesn't discriminate: health inequities at the intersection of race and disability.

Objectives: Given the prevalence of discrimination experienced by racial and ethnic minorities living with disabilities, it is likely that racism experienced by Black, Indigenous, and people of color (BIPOC) is compounded by the ableism experienced by people with disabilities, widening disparities in health and healthcare outcomes. To address this, we described unmet healthcare needs of a sample of Black, non-Hispanic, and Hispanic adults with and without disabilities. The following research question was examined exploratively: Are Black and Hispanic adults with disabilities at increased risk of unmet healthcare needs compared to Black and Hispanic adults without disabilities according to the 2018 National Health Interview Survey? Methods: Survey data was examined from the 2018 National Health Interview Survey (NHIS), a nationally representative survey of community-dwelling adults in the United States. Results: Black and non-Hispanic adults most commonly reported mobility only disabilities. People with disabilities were significantly more likely to delay or forego care than their peers without disabilities within each racial/ethnic group. Among non-Hispanic Black and Hispanic adults, nearly 30% of people with disabilities forewent services due to cost compared to persons without disabilities. Conclusions: Black and Hispanic adults with disabilities experience greater disparities in access to healthcare than Black and Hispanic adults without disabilities. Therefore, health disparities experienced by racial and ethnic minorities living with disabilities is likely influenced by the dual systemic factors of racism and ableism.