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INTRODUCTION: Type 2 diabetes mellitus (T2DM) and comorbid conditions require patients to take complex medication regimens. Greater regimen complexity has been associated with poorer T2DM management; however, the relationship between overall regimen complexity and glycemic control is unclear. OBJECTIVES: Our objectives were: (1) to examine associations between regimen complexity (with the Medication Regimen Complexity Index [MRCI]) and glycemic control (A1C), and (2) to compare overall MRCI with other measures of regimen complexity (overall and diabetes-specific medication count) and diabetes-specific MRCI. METHODS: This was a secondary data analysis of cross-sectional data from a parent trial. Participants were patients with T2DM taking at least 3 chronic medications followed in safety net clinics in the Chicago area. The MRCI measures complexity based on dosing frequency, route of administration, and special instructions for prescribed medications. MRCI scores were created for overall regimens and diabetes-specific medications. Sociodemographics and outpatient visit utilization were included in models as covariates. Linear regression was used to examine the associations between variables of interest and hemoglobin A1C. RESULTS: Participants (N = 432) had a mean age of 56.9 years, most were female (66.0%), and Hispanic or Latino (73.3%). Regimen complexity was high based on overall medications (mean = 6.6 medications, SD: 3.09) and MRCI (mean = 21.4, SD: 11.3). Higher diabetes-specific MRCI was associated with higher A1C in bivariate and multivariable models. In multivariable models, overall MRCI greater than 14, fewer outpatient health care visits, male gender, and absence of health insurance were independently associated with higher A1C. The variance in A1C explained by MRCI was higher compared to medication count for overall and diabetes-specific regimen complexity. CONCLUSIONS: More complex regimens are associated with worse A1C and measuring complexity with MRCI may have advantages. Deprescribing, increasing insurance coverage, and promoting engagement in health care may improve A1C among underserved populations with complex regimens.

While health podcasts can be effective in reducing stigma and increasing knowledge, we know little about their mechanisms of action. This qualitative study explored the mechanisms of how women connected with the podcast 'menopause: unmuted', which presented menopause information in a storytelling format.A diverse sample of 30 women aged 40-60 years were interviewed after listening to the podcast. Interviews covered participant's views and perceptions of the stories presented. Transcripts were analyzed thematically.Two overarching themes were identified. 'Openness and authenticity' describes the value of personal stories told in an authentic way by real experts-by-experience. 'Relatability and representation' explores participants' emotional reaction to the podcast, influenced by the extent to which they identified with the stories and storytellers on the podcast.Authenticity and relatability were identified as key mechanisms through which participants connected with audio stories, consistent with Fisher's narrative theory. These findings have important implications for the application of storytelling in podcasts designed to influence health behaviors.Diverse stories representing a range of demographic characteristics and experiences are needed when creating podcasts about health information to increase listener's relatability and connection.

OBJECTIVE Intracranial pressure (ICP) is an important therapeutic target in many critical neuropathologies. The current tools for ICP measurements are invasive; hence, these are only selectively applied in critical cases where the benefits surpass the risks. To address the need for low-risk ICP monitoring, the authors developed a noninvasive alternative. METHODS The authors recently demonstrated noninvasive quantification of ICP in an animal model by using morphological analysis of microvascular cerebral blood flow (CBF) measured with diffuse correlation spectroscopy (DCS). The current prospective observational study expanded on this preclinical study by translating the method to pediatric patients. Here, the CBF features, along with mean arterial pressure (MAP) and heart rate (HR) data, were used to build a random decision forest, machine learning model for estimation of ICP; the results of this model were compared with those of invasive monitoring. RESULTS Fifteen patients (mean age ± SD [range] 9.8 ± 5.1 [0.3–17.5] years; median age [interquartile range] 11 [7.4] years; 10 males and 5 females) who underwent invasive neuromonitoring for any purpose were enrolled. Estimated ICP (ICPest) very closely matched invasive ICP (ICPinv), with a root mean square error (RMSE) of 1.01 mm Hg and 95% limit of agreement of ≤ 1.99 mm Hg for ICPinv 0.01–41.25 mm Hg. When the ICP range (ICPinv 0.01–29.05 mm Hg) was narrowed on the basis of the sample population, both RMSE and limit of agreement improved to 0.81 mm Hg and ≤ 1.6 mm Hg, respectively. In addition, 0.3% of the test samples for ICPinv ≤ 20 mm Hg and 5.4% of the test samples for ICPinv > 20 mm Hg had a limit of agreement > 5 mm Hg, which may be considered the acceptable limit of agreement for clinical validity of ICP sensing. For the narrower case, 0.1% of test samples for ICPinv ≤ 20 mm Hg and 1.1% of the test samples for ICPinv > 20 mm Hg had a limit of agreement > 5 mm Hg. Although the CBF features were crucial, the best prediction accuracy was achieved when these features were combined with MAP and HR data. Lastly, preliminary leave-one-out analysis showed model accuracy with an RMSE of 6 mm Hg and limit of agreement of ≤ 7 mm Hg. CONCLUSIONS The authors have shown that DCS may enable ICP monitoring with additional clinical validation. The lower risk of such monitoring would allow ICP to be estimated for a wide spectrum of indications, thereby both reducing the use of invasive monitors and increasing the types of patients who may benefit from ICP-directed therapies.

Epinephrine is the principal resuscitation therapy for pediatric cardiac arrest (CA). Clinical data suggest that although epinephrine increases the rate of resuscitation, it fails to improve neurological outcome, possibly secondary to reductions in microvascular flow. We characterized the effect of epinephrine vs. placebo administered at resuscitation from pediatric asphyxial CA on microvascular and macrovascular cortical perfusion assessed using

Epinephrine is the principal resuscitation therapy for pediatric cardiac arrest (CA). Clinical data suggest that although epinephrine increases the rate of resuscitation, it fails to improve neurological outcome, possibly secondary to reductions in microvascular flow. We characterized the effect of epinephrine vs. placebo administered at resuscitation from pediatric asphyxial CA on microvascular and macrovascular cortical perfusion assessed using in vivo multiphoton microscopy and laser speckle flowmetry, respectively, and on brain tissue oxygenation (PbO2), behavioral outcomes, and neuropathology in 16–18-day-old rats. Epinephrine-treated rats had a more rapid return of spontaneous circulation and brisk immediate cortical reperfusion during 1–3 min post-CA vs. placebo. However, at the microvascular level, epinephrine-treated rats had penetrating arteriole constriction and increases in both capillary stalling (no-reflow) and cortical capillary transit time 30–60 min post-CA vs. placebo. Placebo-treated rats had increased capillary diameters post-CA. The cortex was hypoxic post-CA in both groups. Epinephrine treatment worsened reference memory performance vs. shams. Hippocampal neuron counts did not differ between groups. Resuscitation with epinephrine enhanced immediate reperfusion but produced microvascular alterations during the first hour post-resuscitation, characterized by vasoconstriction, capillary stasis, prolonged cortical transit time, and absence of compensatory cortical vasodilation. Targeted therapies mitigating the deleterious microvascular effects of epinephrine are needed.

Children with acute neurologic illness are at high risk of mortality and long-term neurologic disability. Severe traumatic brain injury, cardiac arrest, stroke, and central nervous system infection are often complicated by cerebral hypoxia, hypoperfusion, and edema, leading to secondary neurologic injury and worse outcome. Owing to the paucity of targeted neuroprotective therapies for these conditions, management emphasizes close physiologic monitoring and supportive care. In this review, we will discuss advanced neurologic monitoring strategies in pediatric acute neurologic illness, emphasizing the physiologic concepts underlying each tool. We will also highlight recent innovations including novel monitoring modalities, and the application of neurologic monitoring in critically ill patients at risk of developing neurologic sequelae.

BACKGROUND: Neuromonitoring is the use of continuous measures of brain physiology to detect clinically important events in real-time. Neuromonitoring devices can be invasive or non-invasive and are typically used on patients with acute brain injury or at high risk for brain injury. The goal of this study was to characterize neuromonitoring infrastructure and practices in North American pediatric intensive care units (PICUs). METHODS: An electronic, web-based survey was distributed to 70 North American institutions participating in the Pediatric Neurocritical Care Research Group. Questions related to the clinical use of neuromonitoring devices, integrative multimodality neuromonitoring capabilities, and neuromonitoring infrastructure were included. Survey results were presented using descriptive statistics. RESULTS: The survey was completed by faculty at 74% (52 of 70) of institutions. All 52 institutions measure intracranial pressure and have electroencephalography capability, whereas 87% (45 of 52) use near-infrared spectroscopy and 40% (21/52) use transcranial Doppler. Individual patient monitoring decisions were driven by institutional protocols and collaboration between critical care, neurology, and neurosurgery attendings. Reported device utilization varied by brain injury etiology. Only 15% (eight of 52) of institutions utilized a multimodality neuromonitoring platform to integrate and synchronize data from multiple devices. A database of neuromonitoring patients was maintained at 35% (18 of 52) of institutions. Funding for neuromonitoring programs was variable with contributions from hospitals (19%, 10 of 52), private donations (12%, six of 52), and research funds (12%, six of 52), although 73% (40 of 52) have no dedicated funds. CONCLUSIONS: Neuromonitoring indications, devices, and infrastructure vary by institution in North American pediatric critical care units. Noninvasive modalities were utilized more liberally, although not uniformly, than invasive monitoring. Further studies are needed to standardize the acquisition, interpretation, and reporting of clinical neuromonitoring data, and to determine whether neuromonitoring systems impact neurological outcomes.

Background:The COVID-19 pandemic has had a widespread impact on sleep quality, yet little is known about the prevalence of sleep disturbance and its impact on self-management of chronic conditions during the ongoing pandemic. Objective: To evaluate trajectories of sleep disturbance, and their associations with one’s capacity to self-manage chronic conditions. Design: A longitudinal cohort study linked to 3 active clinical trials and 2 cohort studies with 5 time points of sleep data collection (July 15, 2020 – May 23, 2022). Participants: Adults living with chronic conditions who completed sleep questionnaires for two or more time points. Exposure: Trajectories of self-reported sleep disturbance across 5 time points. Main Outcomes: 3 self-reported measures of self-management capacity, including subjective cognitive decline, medication adherence, and self-efficacy for managing chronic disease. Results: 549 adults aged 23 to 91 years were included in the analysis. Two thirds had 3 or more chronic conditions; 42.4% of participants followed a trajectory of moderate or high likelihood of persistent sleep disturbance across the study period. Moderate or high likelihood of sleep disturbance was associated with older age (RR 1.57, 95% CI 1.09, 2.26, PP=.003), poorer physical function (RR 1.57, 95% CI 1.17, 2.13, P=.003), greater anxiety (RR 1.40, 95% CI 1.04, 1.87, P=.03) and depression (RR 1.63, 95% CI 1.20, 2.22, P=.002). Moderate or high likelihood of sleep disturbance was also independently associated with subjective cognitive decline, poorer medication adherence, and worse self-efficacy for managing chronic diseases (all PConclusions: Persistent sleep disturbance during the pandemic may be an important risk factor for inadequate chronic disease self-management and potentially poor health outcomes in adults living with chronic conditions. Public health and health system strategies might consider monitoring sleep quality in adults with chronic conditions to optimize health outcomes.

Objectives In the vast majority of Children's Hospitals, the critically ill patient can be found in one of three locations: the PICU, the neonatal ICU, and the cardiac ICU. Training, certification, and maintenance of certification for neonatology and critical care medicine are over seen by the Accreditation Council for Graduate Medical Education and American Board of Pediatrics. There is no standardization of training or oversight of certification and maintenance of certification for pediatric cardiac critical care. Data sources The curricula from the twenty 4th year pediatric cardiac critical care training programs were collated, along with the learning objectives from the Pediatric Cardiac Intensive Care Society published "Curriculum for Pediatric Cardiac Critical Care Medicine." Study selection This initiative is endorsed by the Pediatric Cardiac Intensive Care Society as a first step toward Accreditation Council for Graduate Medical Education oversight of training and American Board of Pediatrics oversight of maintenance of certification. Data extraction A taskforce was established of cardiac intensivists, including the directors of all 4th year pediatric cardiac critical care training programs. Data synthesis Using modified Delphi methodology, learning objectives, rotational requirements, and institutional requirements for providing training were developed. Conclusions In the current era of increasing specialized care in pediatric cardiac critical care, standardized training for pediatric cardiac critical care is paramount to optimizing outcomes.

BACKGROUND Annual cognitive screening in adults over age 65 can improve early detection of cognitive impairment, yet less than half of all cases are identified in primary care. Time constraints in primary care settings present a major barrier to routine screening. A remote cognitive screener completed on a patient’s own smartphone prior to a visit has the potential to save primary care clinics time, encourage broader screening practices, and increase early detection of cognitive decline. OBJECTIVE We describe the design and proposed implementation of a remote cognitive screening app, MyCog Mobile, to be completed on a patient’s smartphone prior to an annual wellness visit. Research questions included: 1) What would motivate primary care clinicians and clinic administrators to implement a remote cognitive screening process?; 2) How might we design a remote cognitive screener to fit well with existing primary care workflows?; 3) What would motivate an older adult patient to complete a cognitive screener on a smartphone prior to a primary care visit?; and 4) How might we optimize the user experience of completing a remote cognitive screener on a smartphone for older adults?. METHODS To address research questions 1 and 2, we conducted foundational interviews with clinicians (N=5) and clinic administrators (N=3). We also collaborated with clinic administrators to create user journey maps of their existing and proposed MyCog Mobile workflows. To address research questions 3 and 4, we conducted individual semi-structured interviews with older adults (N=5) and solicited feedback from a community stakeholder panel (N=11). We also tested and refined high-fidelity prototypes of the MyCog Mobile app with the older adult interview participants, who rated the usability on the Simplified System Usability Scale (S-SUS) and After Scenario Questionnaire (ASQ). RESULTS Clinicians and clinic administrators were motivated to switch to a remote cognitive screening process if it saved time in their workflows. Findings from interviews and user journey mapping informed the proposed implementation and core functionality of MyCog Mobile. Older adult participants were motivated to complete cognitive screeners to ensure they were cognitively healthy and saw additional benefits to remote screening such as saving time during their visit and privacy. Older adults also identified challenges to remote smartphone screening, which informed the user experience design of the MyCog Mobile app. The average rating across prototype versions was 91 (SD 5.18) on the S-SUS and 6.13 (SD 8.40) on the ASQ, indicating above average usability. CONCLUSIONS Through an iterative, human-centered design process, we were able to develop a viable remote cognitive screening app and proposed implementation strategy for primary care settings that was optimized for multiple stakeholders. Next steps include validating the cognitive screener in clinical and healthy populations and piloting the finalized app in a community primary care clinic.

ObjectiveLimited health literacy negatively impacts understanding of medication-related information. We describe an innovative methodology designed to optimize user understanding of patient medication labeling through the systematic application of evidence-based health literacy principles, using the Patient Package Insert (PPI) for bezlotoxumab (ZINPLAVA™, Merck & Co., Inc., Kenilworth, NJ, USA) as an example.MethodsWe used a mixed-model, iterative approach consisting of three phases: (1) content development; (2) focus group testing; and (3) comprehension testing. Content development was based on evidence-based health literacy principles and conducted through a collaborative partnership between industry and academia professionals. The PPI was then tested in four focus groups, two in Atlanta and two in Chicago, with an emphasis on collecting feedback from respondents with limited health literacy, evaluated using the Newest Vital Sign (NVS) health literacy assessment tool. Subsequent comprehension testing included patients withC. diff, caregivers, and general population members, with a pre-defined target sample of 25% with limited health literacy identified through two health literacy assessment tools: the Single Item Literacy Screener and the NVS.ResultsContent development of the bezlotoxumab PPI occurred in May 2015. In June 2015, focus group respondents (n = 34) provided generally favorable feedback, with insights revolving around organization and usability; language and comprehension; and volume of information. Comprehension testing of the revised PPI resulted in average comprehension scores of 96% for the overall population (n = 59), 90% for individuals presenting with limited health literacy (n = 14), and 97% for those with adequate health literacy (n = 45). This PPI development approach was similarly effective for subsequent products across diverse therapeutic areas, with comprehension scores ≥ 86% for all participants (n = 1197).ConclusionThis methodology represents a significant advancement for the development of understandable patient medication labeling, especially for people with limited health literacy.

OBJECTIVE New self-management interventions are being developed for older adults who suffer from worse asthma morbidity than their younger counterparts, but high rates of study drop out have hampered these efforts and there is limited literature on what factors may influence retention in behavioral intervention studies with older adults. This study analyzed illness beliefs and patient characteristics that may contribute to retention in an asthma self-management trial for older adults. METHODS This is a secondary analysis of data from a randomized controlled trial of a self-management support intervention for adults 60 years and older with persistent, uncontrolled asthma. Multivariable logistic regression was used to evaluate the association of medication and illness beliefs, and other subject characteristics with study retention, which was defined as completion of the research study interview at 6 and 12 months. RESULTS The randomized trial enrolled 388 individuals; 261 (67.3%) completed the 12-month interview. Higher perceived threat of chronic diseases relative to asthma was associated with higher study retention (OR = 1.11, 95% CI = 1.00-1.24) at 12 months. Other variables including asthma beliefs, age, cognitive function, health literacy, and asthma symptoms were not significantly associated with retention. CONCLUSIONS Concern about non-asthma chronic conditions, but no other illness beliefs, or patient characteristics, were associated with retention in an asthma self-management support intervention. Further research, including qualitative studies, is needed to better understand why patients drop out of asthma behavioral intervention studies.

Objective We sought to characterize caregiver medication assistance for older adults with multiple chronic conditions. Design Semi-structured qualitative interviews. Setting Community and academic-affiliated primary care practices. Participants A total of 25 caregivers to older adults participating in an ongoing cohort study with ≥3 chronic conditions. Measurements A semi-structured interview guide, informed by the Medication Self-Management model, aimed to understand health-related and medication-specific assistance caregivers provided. Results Three typologies of caregiver assistance with medications emerged: Actively Involved, Peripherally Involved, and Not Involved. A total of 10 caregivers were Actively Involved, which was defined as when the caregiver perceived a need for and offered assistance, and the patient accepted the assistance. Peripherally Involved (n = 6) was defined as when the caregiver perceived a need and offered assistance; however, the patient rejected this assistance, yet relied on the caregiver as a backup in managing his or her medications. To combat resistance from the patient, caregivers in this typology disguised assistance and deployed workaround strategies to monitor medication-taking behaviors to ensure safety. Lastly, nine caregivers were classified as Not Involved, defined as when the caregiver did not perceive a need to offer assistance with medications, and the patient managed his or her medicines independently. A strong preference toward autonomy in medication management was shared across all three typologies. Conclusion These findings suggest that caregivers value independent medication management by their care recipient, up until safety is seriously questioned. Clinicians should not assume caregivers are actively and consistently involved in older adults' medication management; instead, they should initiate conversations with patients and caregivers to better understand and facilitate co-management responsibilities, especially among those whose assistance is rejected by older adults.

OBJECTIVE: To determine the relative contributions of health literacy (HL) and illness and medication beliefs to medication adherence among older COPD patients and determine the pathways through which they operate. METHODS: The study was conducted using data from a prospective cohort of COPD patients in New York City and Chicago. We used structural equation modeling to examine the pathways linking HL, through medications and illness beliefs, with COPD medication adherence. RESULTS: Out of 393 older adults with COPD, 123 (31%) had limited HL and 208 (53%) reported low adherence to daily COPD medications. Those with limited HL were more likely to have low medication adherence (p

Loneliness was common early in the COVID-19 pandemic due to physical distancing measures, but little is known about how loneliness persisted into later stages of the pandemic. We therefore examined longitudinal trajectories of loneliness over 18 months of the pandemic and subgroups at risk for persistent loneliness.We used data from the COVID-19Chronic Conditions study collected between March 27, 2020 to December 10, 2021, including 641 predominantly older adults with ≥1 chronic condition who completed six interviews at approximately 3 month intervals. Participants reported loneliness (defined as some, most, or all of the time) during the past week due to COVID-19. We used trajectory mixture models to identify clusters of individuals following similar trajectories of loneliness, then determined subgroups likely to be classified in different loneliness trajectories using multivariable regression models adjusted for sociodemographic and clinical covariates.Participants were on average 63 years old, 61% female, 30% Black, 20% Latinx, and 29% were living below the poverty level. There was an overall reduction in loneliness over time (March to April/2020: 51% to September to December/2021: 31%, p = 0.01). Four distinct trajectory groups emerged: (1) "Persistent Loneliness" (n = 101, 16%); (2) "Adapted" (n = 141, 22%), individuals who were initially lonely, with feelings of loneliness decreasing over time; (3) "Occasional loneliness" (n = 189, 29%); and (4) "Never lonely" (n = 211, 33%). Subgroups at highest risk of the "Persistently Lonely" trajectory included those identifying as Latinx (aOR 2.5, 95% CI: 1.2, 5.2), or living in poverty (aOR 2.5; 95% CI: 1.4, 4.6).Although loneliness declined for a majority of older adults during the pandemic in our sample, persistent loneliness attributed to the COVID-19 pandemic was common (1 in 6 adults), particularly among individuals identifying as Hispanic/Latinx or living in poverty. Interventions addressing loneliness can ease pandemic-related suffering, and may mitigate long-term mental and physical health consequences.

Light at night (LAN) has been associated with negative health consequences and metabolic risk factors. Little is known about the prevalence of LAN in older adults in the United States and its association with CVD risk factors. We tested the hypothesis that LAN in older age is associated with higher prevalence of individual CVD risk factors. Five hundred and fifty-two community-dwelling adults aged 63−84 years underwent an examination of CVD risk factor profiles and 7-day actigraphy recording for activity and light measures. Associations between actigraphy-measured LAN, defined as no light vs. light within the 5-hour nadir (L5), and CVD risk factors, including obesity, diabetes, hypertension, and hypercholesterolemia, were examined, after adjusting for age, sex, race, season of recording, and sleep variables. LAN exposure was associated with a higher prevalence of obesity (multivariable-adjusted odds ratio [OR] 1.82 [95% CI 1.26−2.65]), diabetes (OR 2.00 [1.19−3.43]), and hypertension (OR 1.74 [1.21−2.52]) but not with hypercholesterolemia. LAN was also associated with (1) later timing of lowest light exposure (L5-light) and lowest activity (L5-activity), (2) lower inter-daily stability and amplitude of light exposure and activity, and (3) higher wake after sleep onset. Habitual LAN in older age is associated with concurrent obesity, diabetes, and hypertension. Further research is needed to understand long-term effects of LAN on cardiometabolic risks.

Older immigrants of Latin American descent are disproportionately impacted by dementia, yet little is known about their dementia- and brain health-related knowledge. We explored perspectives on brain health and aging in this population to inform the development of culturally-relevant interventions.Individual, semi-structured interviews were conducted with 30 Spanish-speaking immigrants over 60. Questions addressed knowledge about the brain, perceptions of healthy and unhealthy aging, ideas of how to take care of one's brain, and where knowledge was acquired. Responses were analyzed using thematic analysis.The following themes emerged: (1) Descriptions of the brain varied, from anatomy, cognition, and psychology to disease. (2) Perceptions of healthy aging included independence, memory, emotions, and orientation. (3) Ideas of how to care for the brain included physical, social, and cognitive engagement. (4) Knowledge was acquired in childhood, communities, healthcare settings, careers, and media.Results showed significant variability in knowledge. Findings may be leveraged to improve interventions that address brain health literacy disparities among older Latin American immigrants.Takeaways involve increasing education about the structure and functions of the brain, promoting realistic understandings of what nonnormative brain aging entails, and increasing knowledge of empirically-supported maintenance approaches. Dissemination may be increased via healthcare providers, community centers, churches, and media.

Sophia W Light,1 Allison Pack,1 Alyssa Vela,2 Stacy C Bailey,1 Andrea Zuleta,1 Rachel O’Conor,1 Michael S Wolf1 1Division of General Internal Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA; 2Department of Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL, USACorrespondence: Sophia W Light, Center for Applied Health Research on Aging (CAHRA), Division of General Internal Medicine, Northwestern University Feinberg School of Medicine, 750 N. Lake Shore Drive, 10th Floor, Chicago, IL, 60611, USA, Tel +1(312)503-5015, Email sophia.wl@northwestern.eduPurpose: Historically marginalized communities disproportionately impacted by the pandemic are demonstrating lower uptake of COVID-19 vaccines. To facilitate the development of culturally tailored, language concordant educational materials promoting COVID-19 vaccination, we first explored older Latinx adults’ awareness, attitudes, and beliefs about COVID-19 vaccines and factors involved in vaccination decisions within their communities.Patients and Methods: Individual, semi-structured interviews were conducted with 15 participants who self-identified as Latinx/Hispanic, aged 50 and older, and living in Chicago. Eight interviews were conducted in English and seven in Spanish. Thematic analysis was used to analyze participants’ responses.Results: Participants revealed four key factors influencing vaccination decisions: 1. protecting oneself and loved ones (against COVID-19 (n=14), or from perceived dangers of the vaccine (n=9)); 2. trust in authorities (trusting information (n=9), or worrying the vaccine is being manipulated (n=5)); 3. access and availability (gratitude to live in a country where vaccines are available (n=5), or fear of going to vaccination sites due to immigration and insurance status (n=4)); and 4. Employment and semblance of normalcy (vaccination to create opportunities (n=6), or concern about missing out due to side effects (n=9)).Conclusion: Our findings illuminate key factors influencing decisions for COVID-19 vaccination among Latinx older adults in Chicago. Vaccination information aiming to increase vaccination rates among this important population may benefit from leveraging collective pronouns and spirituality, language concordance, low-tech options, building trust, and addressing insurance and immigration doubts. Next steps include developing educational materials based on these themes, followed by dissemination and evaluation. Lessons learned may be of interest to public health experts responding to the ongoing pandemic and other public health crises experienced by historically marginalized communities.Keywords: qualitative, COVID-19 vaccines, COVID-19, Latinx, older adult

OBJECTIVES To define the clinical characteristics of hospitalized children with moderate traumatic brain injury and identify factors associated with deterioration to severe traumatic brain injury. DESIGN Retrospective cohort study. SETTING Tertiary Children's Hospital with Level 1 Trauma Center designation. PATIENTS Inpatient children less than 18 years old with an International Classification of Diseases code for traumatic brain injury and an admission Glasgow Coma Scale score of 9-13. MEASUREMENTS AND RESULTS We queried the National Trauma Data Bank for our institutional data and identified 177 patients with moderate traumatic brain injury from 2010 to 2017. These patients were then linked to the electronic health record to obtain baseline and injury characteristics, laboratory data, serial Glasgow Coma Scale scores, CT findings, and neurocritical care interventions. Clinical deterioration was defined as greater than or equal to 2 recorded values of Glasgow Coma Scale scores less than or equal to 8 during the first 48 hours of hospitalization. Thirty-seven patients experienced deterioration. Children who deteriorated were more likely to require intubation (73% vs 26%), have generalized edema, subdural hematoma, or contusion on CT scan (30% vs 8%, 57% vs 37%, 35% vs 16%, respectively), receive hypertonic saline (38% vs 7%), undergo intracranial pressure monitoring (24% vs 0%), were more likely to be transferred to inpatient rehabilitation following hospital discharge (32% vs 5%), and incur greater costs of care ($25,568 vs $10,724) (all p < 0.01). There was no mortality in this cohort. Multivariable regression demonstrated that a higher Injury Severity Score, a higher initial international normalized ratio, and a lower admission Glasgow Coma Scale score were associated with deterioration to severe traumatic brain injury in the first 48 hours (p < 0.05 for all). CONCLUSIONS A substantial subset of children (21%) presenting with moderate traumatic brain injury at a Level 1 pediatric trauma center experienced deterioration in the first 48 hours, requiring additional resource utilization associated with increased cost of care. Deterioration was independently associated with an increased international normalized ratio higher Injury Severity Score, and a lower admission Glasgow Coma Scale score.

OBJECTIVES: To identify and characterize the constellation, or clusters, of self-management behaviors in patients with chronic obstructive pulmonary disease (COPD) and comorbid hypertension. METHODS: Cluster analysis (n=204) was performed with standardized scores for medication adherence to COPD and hypertension medications, inhaler technique, and diet as well as self-reported information on physical activity, appointment keeping, smoking status, and yearly influenza vaccination for a total of eight variables. Classification and regression tree analysis (CART) was performed to further characterize the resulting clusters. RESULTS: Patients were divided into three clusters based on eight self-management behaviors, which included 95 patients in cluster 1, 42 in cluster 2, and 67 in cluster 3. All behaviors except for inhaler technique differed significantly among the three clusters (P’s

Objectives: To assess whether older adults with a cognitive impairment were more likely to report challenges interacting with medical providers, or to avoid needed medical care. Methods: Data for this exploratory, cross-sectional analysis were from older adults ( N = 493) ages 60–82 participating in the “LitCog” cohort study. Multivariable generalized linear models compared cognitive impairment (none, mild, moderate, severe) with validated measures of healthcare engagement. Results: A moderate cognitive impairment was associated with delays in medical care due to embarrassment (RR 5.34.95% CI 1.30–22.0) and discomfort asking the doctor questions (RR 4.07, 95% CI 1.00–16.5). Conclusions: Intermediate cognitive deficits, such as with mild cognitive impairment (MCI) or mild dementias, may impact meaningful engagement with healthcare systems, potentially affecting timely detection and appropriate management of cognitive concerns and other chronic medical conditions. More research is needed to understand mechanisms underlying this relationship.

Depression is associated with poor outcomes among older adults with asthma, and the presence of multiple comorbidities may magnify this relationship. We sought to determine the association of comorbidities with depressive symptoms among older adults with asthma.Secondary analysis of data from a randomized controlled trial of older adults with poorly controlled asthma and comorbidities. Comorbidities were measured in two ways: (1) as a count of all the patient's chronic diseases, and (2) as a count of chronic illnesses with self-management intensive needs (diabetes, hypertension, congestive heart failure). Depressive symptoms were measured using the PROMIS SF8a scale. Multiple regression analyses tested the relationship between comorbidities and depressive symptoms, adjusting for sociodemographic factors.Overall, 25% of participants had moderate-severe levels of depressive symptoms, 87% had ≥ two comorbidities, and 41% had ≥ one comorbidity with self-management intensive needs. The count of all comorbidities was significantly associated with depressive symptoms (In older adults with asthma and multiple comorbidities, depressive symptoms increased with the overall count of comorbidities but not with the count of comorbidities with self-management intensive needs. Given the impact of depression on asthma outcomes for older adults, the mechanisms by which comorbid illness contributes to depressive symptoms in older asthmatics warrants further evaluation.

Objectives Patient knowledge deficits related to opioid risks, including lack of knowledge regarding addiction, are well documented. Our objective was to characterize patients' perceptions of signs of addiction. Methods This study utilized data obtained as part of a larger interventional trial. Consecutively discharged English-speaking patients, age >17 years, at an urban academic emergency department, with a new opioid prescription were enrolled from July 2015 to August 2017. During a follow-up phone interview 7 to 14 days after discharge, participants were asked a single question, "What are the signs of addiction to pain medicine?" Verbatim transcribed answers were analyzed using a directed content analysis approach and double coding. These codes were then grouped into themes. Results There were 325 respondents, 57% female, mean age 43.8 years, 70.1% privately insured. Ten de novo codes were added to the 11 DSM-V criteria codes. Six themes were identified: (1) effort spent acquiring opioids, (2) emotional and physical changes related to opioid use, (3) opioid use that is "not needed, (4) increasing opioid use, (5) an emotional relationship with opioids, and (6) the inability to stop opioid use. Conclusions Signs of addiction identified by opioid naive patients were similar to concepts identified in medical definitions. However, participants' understanding also included misconceptions, omissions, and conflated misuse behaviors with signs of addiction. Identifying these differences will help inform patient-provider risk communication, providing an opportunity for counseling and prevention.