Accelerometer Thresholds for Estimating Physical Activity Intensity Levels in Infants: A Preliminary Study.

Lack of physical activity (PA) at a young age can result in health issues. Thus, monitoring PA is important. Wearable accelerometers are the preferred tool to monitor PA in children. Validated thresholds are used to classify activity intensity levels, e.g., sedentary, light, and moderate-to-vigorous, in ambulatory children. No previous work has developed accelerometer thresholds for infancy (pre-ambulatory children). Therefore, this work aims to develop accelerometer thresholds for PA intensity levels in pre-ambulatory infants. Infants (n = 10) were placed in a supine position and allowed free movement. Their movements were synchronously captured using video cameras and accelerometers worn on each ankle. The video data were labeled by activity intensity level (sedentary, light, and moderate-to-vigorous) in two-second epochs using observational rating (gold standard). Accelerometer thresholds were developed for acceleration and jerk using two optimization approaches. Four sets of thresholds were developed for dual (two ankles) and for single-worn (one ankle) accelerometers. Of these, for a typical use case, we recommend using acceleration-based thresholds of 1.00 m/s to distinguish sedentary and light activity and 2.60 m/s to distinguish light and moderate-to-vigorous activity. Acceleration and jerk are both suitable for measuring PA.

Associations between EEG power and coherence with cognition and early precursors of speech and language development across the first months of life.

The neural processes underpinning cognition and language development in infancy are of great interest. We investigated EEG power and coherence in infancy, as a reflection of underlying cortical function of single brain region and cross-region connectivity, and their relations to cognition and early precursors of speech and language development. EEG recordings were longitudinally collected from 21 infants with typical development between approximately 1 and 7 months. We investigated relative band power at 3-6Hz and 6-9Hz and EEG coherence of these frequency ranges at 25 electrode pairs that cover key brain regions. A correlation analysis was performed to assess the relationship between EEG measurements across frequency bands and brain regions and raw Bayley cognitive and language developmental scores. In the first months of life, relative band power is not correlated with cognitive and language scales. However, 3-6Hz coherence is negatively correlated with receptive language scores between frontoparietal regions, and 6-9Hz coherence is negatively correlated with expressive language scores between frontoparietal regions. The results from this preliminary study contribute to the existing literature on the relationship between electrophysiological development, cognition, and early speech precursors in this age group. Future work should create norm references of early development in these domains that can be compared with infants at risk for neurodevelopmental disabilities.

Early full-day leg movement kinematics and swaddling patterns in infants in rural Guatemala: A pilot study.

BACKGROUND: Tools to accurately assess infants' neurodevelopmental status very early in their lives are limited. Wearable sensors may provide a novel approach for very early assessment of infant neurodevelopmental status. This may be especially relevant in rural and low-resource global settings. METHODS: We conducted a longitudinal observational study and used wearable sensors to repeatedly measure the kinematic leg movement characteristics of 41 infants in rural Guatemala three times across full days between birth and 6 months of age. In addition, we collected sociodemographic data, growth data, and caregiver estimates of swaddling behaviors. We used visual analysis and multivariable linear mixed models to evaluate the associations between two leg movement kinematic variables (awake movement rate, peak acceleration per movement) and infant age, swaddling behaviors, growth, and other covariates. RESULTS: Multivariable mixed models of sensor data showed age-dependent increases in leg movement rates (2.16 [95% CI 0.80,3.52] movements/awake hour/day of life) and movement acceleration (5.04e-3 m/s2 [95% CI 3.79e-3, 6.27e-3]/day of life). Swaddling time as well as growth status, poverty status and multiple other clinical and sociodemographic variables had no impact on either movement variable. CONCLUSIONS: Collecting wearable sensor data on young infants in a rural low-resource setting is feasible and can be used to monitor age-dependent changes in movement kinematics. Future work will evaluate associations between these kinematic variables from sensors and formal developmental measures, such as the Bayley Scales of Infant and Toddler Development.

Similar early intervention referral rates following in-person administration of the Bayley Scales of Infant and Toddler Development, 4th Edition versus Telehealth Administration of the Developmental Assessment in Young Children, 2nd Edition in the high-risk infant population.

BACKGROUND: Infants with prematurity, low birthweight, and medical comorbidities are at high risk for developmental delays and neurodevelopmental disabilities and require close monitoring. Due to the COVID-19 pandemic, high-risk infant follow-up (HRIF) programs have adapted to perform developmental assessments via telehealth. OBJECTIVES: Describe the referral rates to initiate, continue, or increase/add early intervention (EI) therapies based on in-person use of the Bayley Scales of Infant and Toddler Development, 4th Edition (BSID-IV) or telehealth use of the Developmental Assessment in Young Children, 2nd Edition (DAYC-2). METHODS: A retrospective chart review was conducted on 203 patients seen in the HRIF program at an academic medical center in Southern California. Patients were divided into in-person (BSID-IV) and telehealth (DAYC-2) assessment groups. Statistical analyses were performed to describe demographic characteristics, medical information, and referral rates for EI therapies by the types of visits. RESULTS: The in-person and telehealth groups demonstrated similar demographic and clinical characteristics and comparable referral rates for initiating EI therapies. Telehealth patients already receiving therapies were recommended to increase/add EI therapies at a higher rate compared to in-person patients. CONCLUSIONS: The BSID-IV is widely used to assess for developmental delays in the high-risk infant population, but in-person administration of this tool poses limitations on its accessibility. Telehealth administration of an alternative tool, such as the DAYC-2, can lead to similar EI referral rates as in-person administration of the BSID-IV. Increased use of telehealth developmental assessments can promote timely detection of developmental delays and minimize gaps in healthcare access.

Tethered spinal cord tension assessed via ultrasound elastography in computational and intraoperative human studies.

BACKGROUND: Tension in the spinal cord is a trademark of tethered cord syndrome. Unfortunately, existing tests cannot quantify tension across the bulk of the cord, making the diagnostic evaluation of stretch ambiguous. A potential non-destructive metric for spinal cord tension is ultrasound-derived shear wave velocity (SWV). The velocity is sensitive to tissue elasticity and boundary conditions including strain. We use the term Ultrasound Tensography to describe the acoustic evaluation of tension with SWV. METHODS: Our solution Tethered cord Assessment with Ultrasound Tensography (TAUT) was utilized in three sub-studies: finite element simulations, a cadaveric benchtop validation, and a neurosurgical case series. The simulation computed SWV for given tensile forces. The cadaveric model with induced tension validated the SWV-tension relationship. Lastly, SWV was measured intraoperatively in patients diagnosed with tethered cords who underwent treatment (spinal column shortening). The surgery alleviates tension by decreasing the vertebral column length. RESULTS: Here we observe a strong linear relationship between tension and squared SWV across the preclinical sub-studies. Higher tension induces faster shear waves in the simulation (R2 = 0.984) and cadaveric (R2 = 0.951) models. The SWV decreases in all neurosurgical procedures (p < 0.001). Moreover, TAUT has a c-statistic of 0.962 (0.92-1.00), detecting all tethered cords. CONCLUSIONS: This study presents a physical, clinical metric of spinal cord tension. Strong agreement among computational, cadaveric, and clinical studies demonstrates the utility of ultrasound-induced SWV for quantitative intraoperative feedback. This technology is positioned to enhance tethered cord diagnosis, treatment, and postoperative monitoring as it differentiates stretched from healthy cords.

Tethered spinal cord syndrome occurs when surrounding tissue attaches to and causes stretching across the spinal cord. People with a tethered cord can experience weakness, pain, and loss of bladder control. Although increased tension in the spinal cord is known to cause these symptoms, evaluating the amount of stretching remains challenging. We investigated the ability of an ultrasound imaging approach to measure spinal cord tension. We studied our method in a computer simulation, a benchtop validation model, and in six people with tethered cords during surgery that they were undergoing to reduce tension. In each phase, the approach could detect differences between stretched spinal cords and spinal cords in a healthy state. Our method could potentially be used in the future to improve the care of people with a tethered cord.

Agreement Between the Gross Motor Ability Estimator-2 and the Gross Motor Ability Estimator-3 in Young Children With Cerebral Palsy.

PURPOSE: The purpose of this study was to determine the agreement between Gross Motor Ability Estimator-2 (GMAE-2) and Gross Motor Ability Estimator-3 (GMAE-3) calculations of Gross Motor Function Measure-66 (GMFM-66) scores in infants and young children with cerebral palsy. METHODS: Data from 53 children 5 to 53 months of age were analyzed. Agreement between GMFM-66 scores using the GMAE-2 and the GMAE-3 was calculated using Bland-Altman plots and interclass correlation coefficients (ICCs). Eleven participants who had at least 1 GMFM-66 score of less than 25 using either method were identified for further analysis. RESULTS: The average difference between GMFM-66 scores was 0.27 for all participants and 0.63 for the subset of lower-scoring participants. Good agreement was found for GMFM-66 scores for all participants (ICC = 0.998) and for subset of lower-scoring participants (ICC = 0.879). CONCLUSIONS: High levels of agreement exist between the GMAE-2 and the GMAE-3, which suggests that scores are comparable using either algorithm.

Zinc Deficiency And sTNF-RII Are Associated With Worse COVID-19 Outcomes.

BACKGROUND: Zinc (Zn) is known for its substantial involvement in the immune response as an antioxidant and anti-inflammatory agent. Zn plasma levels' clinical significance in coronavirus disease (COVID) diagnosis is not yet fully established. OBJECTIVE: We assessed the association between Zn deficiency, gut integrity, inflammation, and COVID-19 outcomes. METHODS: A prospective observational cohort in which plasma Zn, soluble tumor necrosis factor alpha receptor II (sTNF-RII) intestinal fatty-acid binding protein (IFABP; marker of intestinal integrity), and zonulin levels (intestinal permeability) were collected from participants during the acute phase of a confirmed COVID-19 diagnosis. Zn was modeled as continuous and binary, categorized as Zn deficiency (Zn < 75 µg/dL) and Zn sufficiency (Zn ≥ 75 µg/dL). COVID-19 outcomes were classified according to the World Health Organization clinical progression scale. We used cumulative probit regression to assess if suboptimal Zn levels, gut, and inflammatory markers increase the likelihood of worse COVID-19 outcomes. RESULTS: Zn deficiency was independently associated with 63% higher predicted odds of worse COVID outcomes. Increases in sTNF-RII {unadjusted odds ratio (uOR): 3.43 [95% confidence interval (CI): 2.02, 5.82]} and zonulin [uOR: 1.83 (95% CI: 1.21, 2.76)] levels were associated with greater odds of worse COVID outcomes. IFABP was not associated with worse COVID outcomes [uOR: 1.12 (95% CI: 0.82, 1.53)] or acute Zn deficiency [uOR: 1.35 (95% CI: 0.79, 2.35)]. The adjusted predicted odds of worse COVID outcomes are 3-fold higher (P = 0.04) for every one-unit decrease in Zn and is more than 2 times greater odds of COVID severity (P = 0.01) for every 1-unit increase in sTNF-RII. CONCLUSION: Zn deficiency and inflammation were independently associated with greater odds of worse COVID outcomes.

Qualitative and Quantitative Measures of Joint Attention Development in the First Year of Life: A Scoping Review.

Joint attention (JA) is the purposeful coordination of an individual's focus of attention with that of another and begins to develop within the first year of life. Delayed, or atypically developing, JA is an early behavioral sign of many developmental disabilities and so assessing JA in infancy can improve our understanding of trajectories of typical and atypical development. This scoping review identified the most common methods for assessing JA in the first year of life. Methods of JA were divided into qualitative and quantitative categories. Out of an identified 13,898 articles, 106 were selected after a robust search of four databases. Frequent methods used were eye tracking, electroencephalography (EEG), behavioral coding and the Early Social Communication Scale (ECSC). These methods were used to assess JA in typically and atypically developing infants in the first year of life. This study provides a comprehensive review of the past and current state of measurement of JA in the literature, the strengths and limitations of the measures used, and the next steps to consider for researchers interested in investigating JA to strengthen this field going forwards.

Daily Quantity and Kinematic Characteristics of Leg Movement in a Child With SMA (2 Copies SMN2).

PURPOSE: This case report describes daily leg movement quantity and kinematic characteristics of a child with spinal muscular atrophy (SMA) with 2 copies of SMN2, who was symptomatic at the time of treatment with disease-modifying therapies. KEY POINTS: Compared with infants with typical development, this child had differing values for leg movement quantity, duration, average acceleration, and peak acceleration measured across full days in the natural environment by wearable sensors. In addition, movement quantity and clinician-rated outcomes increased with age. CONCLUSIONS: Wearable sensors recorded movement quantity and kinematic characteristics in a treated infant with SMA (2 copies SMN2). These movement parameters were consistently different compared anecdotally with published data from infants with typical development, demonstrating their potential to add unique and complementary information to the assessment of motor function in SMA. RECOMMENDATIONS: Larger longitudinal studies are needed to determine the utility of wearable sensors as an assessment tool and an early predictor of motor outcomes in children with SMA.

An "Engage to Sustain" Intervention to Improve Process Performance Measures in Ambulatory Care.

In ambulatory care, monitoring process performance measures (PPMs) is essential to meet regulatory requirements, establish targets for care, seek reimbursement, and evaluate patient care responsibilities. We implemented a comprehensive program, "Engage to Sustain," for licensed practical nurses (LPNs) and certified medical assistants (CMAs) to practice at the top of their licensure/certification. Screening rates for 4 key PPMs (depression screening, fall risk screening, and tobacco use screening and counseling) markedly increased following this intervention across 18 ambulatory departments with more than 2 million patient visits. These results suggest that shifting responsibilities for patient screening from physicians and advanced practitioners to LPNs and CMAs may improve screening rates.

Associations between EEG power and coherence and cognitive and language development across the first months of life.

The neural processes underpinning cognition and language development in infancy are of great interest. We investigated EEG power and coherence in infancy, as a reflection of underlying cortical function of single brain region and cross-region connectivity, and their relations to cognition and language development. EEG recordings were longitudinally collected from 21 infants with typical development between 1 and 7 months. We investigated relative band power at theta (3-6Hz) and alpha (6-9Hz) and EEG coherence of these frequency bands at 25 electrode pairs that cover key brain regions. A correlation analysis was performed to assess the relationship between EEG measurements (frequency bands and brain regions) and raw Bayley cognitive and language developmental scores. In the first months of life, relative band power is not correlated with changes in cognitive and language scales. However, theta coherence is negatively correlated with receptive language scores between frontoparietal regions, and alpha coherence is negatively correlated with expressive language scores between frontoparietal regions. The results from this preliminary study are the first steps in identifying potential biomarkers of early cognitive and language development. In future work, we will confirm norm references of early cognitive and language development that can be compared with infants at risk for neurodevelopmental disabilities.

Maternal perceived stress and infant behavior during the COVID-19 pandemic.

BACKGROUND: Maternal stress has negative consequences on infant behavioral development, and COVID-19 presented uniquely stressful situations to mothers of infants born during the pandemic. We hypothesized that mothers with higher levels of perceived stress during the pandemic would report higher levels of infant regulatory problems including crying and interrupted sleep patterns. METHODS: As part 6 sites of a longitudinal study, mothers of infants born during the pandemic completed the Perceived Stress Scale, the Brief Infant Sleep Questionnaire, and an Infant Crying survey at 6 (n = 433) and 12 (n = 344) months of infant age. RESULTS: Maternal perceived stress, which remained consistent at 6 and 12 months of infant age, was significantly positively correlated with time taken to settle infants. Although maternal perceived stress was not correlated with uninterrupted sleep length, time taken to put the infant to sleep was correlated. Perceived stress was also correlated with the amount of infant crying and fussiness reported at 6 months. CONCLUSIONS: Mothers who reported higher levels of perceived stress during the pandemic reported higher levels of regulatory problems, specifically at 6 months. Examining how varying levels of maternal stress and infant behaviors relate to overall infant developmental status over time is an important next step. IMPACT: Women giving birth during the COVID-19 pandemic who reported higher levels of stress on the Perceived Stress Scale also reported higher levels of infant fussiness and crying at 6 months old, and more disruptive sleep patterns in their infants at 6 months and 12 months old. Sleeping problems and excessive crying in infancy are two regulatory problems that are known risk factors for emotional and behavioral issues in later childhood. This paper is one of the first studies highlighting the associations between maternal stress and infant behaviors during the COVID-19 pandemic.

Disparities in insecurity, social support, and family relationships in association with poor mental health among US adults during the COVID-19 pandemic.

The COVID-19 pandemic has had a significant impact on mental health. Identifying risk factors and susceptible subgroups will guide efforts to address mental health concerns during the pandemic and long-term management and monitoring after the pandemic. We aimed to examine associations of insecurity (concerns about food, health insurance, and/or money), social support, and change in family relationships with poor mental health and to explore disparities in these associations. An online survey was collected from 3952 US adults between May and August 2020. Symptoms of anxiety, depression, stress, and trauma-related disorders were assessed by the Generalized Anxiety Disorder 7-item scale, the Patient Health Questionnaire-9, the Perceived Stress Scale-4, and the Primary Care Post-Traumatic Stress Disorder Screen, respectively. Social support was measured by the Oslo Social Support Scale. Logistic regression was used and stratified analyses by age, race/ethnicity, and sex were performed. We found a higher prevalence of poor mental health among those who were younger, female, with lower socioeconomic status, and racial/ethnic minorities. Participants who were worried about money, health insurance, or food had higher odds of symptoms of anxiety (OR = 3.74, 95% CI: 3.06-4.56), depression (OR = 3.20, 95% CI: 2.67-3.84), stress (OR = 3.08, 95% CI: 2.67-3.57), and trauma-related disorders (OR = 2.93, 95% CI: 2.42-3.55) compared to those who were not. Compared to poor social support, moderate and strong social support was associated with lower odds of all four symptoms. Participants who had changes in relationships with parents, children, or significant others had worse mental health. Our findings identified groups at higher risk for poor mental health, which offers insights for implementing targeted interventions.

Positive and negative impacts of elexacaftor/tezacaftor/ivacaftor: Healthcare providers' observations across US centers.

BACKGROUND: Elexacaftor/tezacaftor/ivacaftor (ETI) has been associated with unprecedented clinical improvements, transforming the management of cystic fibrosis (CF). However, side effects with implications for safety and well-being have been reported, including neuropsychiatric changes. This study aimed to better characterize the emerging positive and negative impacts of ETI. METHODS: The Cystic Fibrosis Foundation's Mental Health Advisory Committee distributed a 26-item survey to US CF care teams to assess clinician observations of patient-reported experiences with ETI. Survey responses measured the prevalence of these effects in five domains: (1) positive physical and psychological effects, (2) sleep difficulties, (3) cognitive difficulties, (4) worsening mental health, and (5) concerns about the future and finances. RESULTS: Seventy-five healthcare providers responded from a pediatric, adult, and combined centers. Positive physical effects of ETI and increased optimism were reported in the upper quartiles (50%-100%) and rated as having a significant impact on daily functioning. Sleep and cognitive difficulties were reported in 1%-24%, with slight impacts on functioning, and psychological symptoms (e.g., increased stress, depression, anxiety) and new psychiatric medications were reported in 1%-24%, with moderate impacts. Concerns about the future were reported in 1%-24%, with minimal impacts. CONCLUSION: Across US centers, providers most often observed positive physical effects of ETI. However, a variety of negative side effects were also reported, including sleep disruptions and worsening psychological functioning, which should be systematically monitored by CF teams. These national-level data are a first step in evaluating the prevalence and consequences of these side effects and can directly inform future studies.

National integration of mental health screening and treatment into specialized care for cystic fibrosis: What predicts success?

OBJECTIVES: The CF Foundation sponsored competitive awards for Mental Health Coordinators (MHCs) from 2016 to 2018 to implement the international guidelines for mental health screening and treatment in US CF centers. Longitudinal surveys evaluated success in implementing these guidelines using the Consolidated Framework for Implementation Research (CFIR). METHODS: MHCs completed annual surveys assessing implementation from preparation/basic implementation (e.g., using recommended screeners) to full implementation/sustainability (e.g., providing evidence-based treatments). Points were assigned to questions through consensus, with higher scores assigned to more complex tasks. Linear regression and mixed effects models were used to: (1) examine differences in centers and MHC characteristics, (2) identify predictors of success, (3) model the longitudinal trajectory of implementation scores. RESULTS: A total of 122 MHCs (88.4% responded): Cohort 1, N = 80; Cohort 2, N = 30; and Cohort 3, N = 12. No differences in center characteristics were found. Significant improvements in implementation were observed across centers over time. Years of experience on a CF team was the only significant predictor of success; those with 1-5 years or longer reported the highest implementation scores. Change over time was predicted by >5 years of experience. CONCLUSIONS: Implementation of the mental health guidelines was highly successful over time. Funding for MHCs with dedicated time was critical. Longitudinal modeling indicated that CF centers with diverse characteristics could implement them, supported by evidence from the CF Patient Registry showing nearly universal uptake of mental health screening in the United States. Years of experience predicted better implementation, suggesting that education and training of MHCs and retention of experienced providers are critical to success.

Alcohol Consumption and Mental Health during the COVID-19 Pandemic.

AIMS: To examine the association between alcohol consumption and mental health during the COVID-19 pandemic. METHODS: An anonymous online survey was distributed among US adults during May-August 2020 through social networks and ResearchMatch. We collected information on demographic, lifestyles and mental health symptoms including anxiety, depression, stress and post-traumatic stress disorder. Logistic regression models were used to examine the cross-sectional association between alcohol consumption and mental health symptoms. We also examined effect modification by race, age, gender, social support, financial insecurity and quarantine status. RESULTS: The analytical sample consists of 3623 adults. Stable drinking habits and regular drinking behaviors were found to co-exist with better mental health status. Participants who increased their alcohol use had higher odds of developing mental health disorders than those who maintained their pre-pandemic drinking habits. Additionally, participants who engaged in binge drinking during the pandemic had higher odds of depression and stress than those who did not. The associations regarding increased drinking and binge drinking in relation to adverse mental health outcomes were stronger among females, racial minorities, and individuals with financial concerns, poor social support and restricted quarantine status than their counterparts. CONCLUSIONS: During the early stage of the COVID-19 pandemic, increased alcohol use and binge drinking are cross-sectionally associated with higher odds of mental health disorders, which highlighted the need for targeted intervention to address the mental health needs of individuals who have engaged in these behaviors, especially among females, minorities, those with insecurities or with restricted quarantine status.

Locomotor learning in infants at high risk for cerebral palsy: A study protocol.

Background: Physical disability in individuals with cerebral palsy (CP) creates lifelong mobility challenges and healthcare costs. Despite this, very little is known about how infants at high risk for CP learn to move and acquire early locomotor skills, which set the foundation for lifelong mobility. The objective of this project is to characterize the evolution of locomotor learning over the first 18 months of life in infants at high risk for CP. To characterize how locomotor skill is learned, we will use robotic and sensor technology to provide intervention and longitudinally study infant movement across three stages of the development of human motor control: early spontaneous movement, prone locomotion (crawling), and upright locomotion (walking). Study design: This longitudinal observational/intervention cohort study (ClinicalTrials.gov Identifier: NCT04561232) will enroll sixty participants who are at risk for CP due to a brain injury by one month post-term age. Study participation will be completed by 18 months of age. Early spontaneous leg movements will be measured monthly from 1 to 4 months of age using inertial sensors worn on the ankles for two full days each month. Infants who remain at high risk for CP at 4 months of age, as determined from clinical assessments of motor function and movement quality, will continue through two locomotor training phases. Prone locomotor training will be delivered from 5 to 9 months of age using a robotic crawl training device that responds to infant behavior in real-time. Upright locomotor training will be delivered from 9 to 18 months of age using a dynamic weight support system to allow participants to practice skills beyond their current level of function. Repeated assessments of locomotor skill, training characteristics (such as movement error, variability, movement time and postural control), and variables that may mediate locomotor learning will be collected every two months during prone training and every three months during upright training. Discussion: This study will develop predictive models of locomotor skill acquisition over time. We hypothesize that experiencing and correcting movement errors is critical to skill acquisition in infants at risk for CP and that locomotor learning is mediated by neurobehavioral factors outside of training.Project Number 1R01HD098364-01A1.ClinicalTrials.gov Identifier: NCT04561232.

Barcoding, linear and nonlinear analysis of full-day leg movements in infants with typical development and infants at risk of developmental disabilities: Cross-sectional study.

Traditional methods do not capture the multidimensional domains and dynamic nature of infant behavioral patterns. We aim to compare full-day, in-home leg movement data between infants with typical development (TD) and infants at risk of developmental disabilities (AR) using barcoding and nonlinear analysis. Eleven infants with TD (2-10 months) and nine infants AR (adjusted age: 2-14 months) wore a sensor on each ankle for 7 days. We calculated the standard deviation for linear variability and sample entropy (SampEn) of leg acceleration and angular velocity for nonlinear variability. Movements were also categorized into 16 barcoding states, and we calculated the SampEn and proportions of the barcoding. All variables were compared between the two groups using independent-samples t-test or Mann-Whitney U test. The AR group had larger linear variability compared to the TD group. SampEn was lower in the AR group compared to TD group for both acceleration and angular velocity. Two barcoding states' proportions were significantly different between the two groups. The results showed that nonlinear analysis and barcoding could be used to identify the difference of dynamic multidimensional movement patterns between infants AR and infants with TD. This information may help early diagnosis of developmental disabilities in the future.

Examining ACCURE's Nurse Navigation Through an Antiracist Lens: Transparency and Accountability in Cancer Care.

There are persistent disparities in the delivery of cancer treatment, with Black patients receiving fewer of the recommended cancer treatment cycles than their White counterparts on average. To enhance racial equity in cancer care, innovative methods that apply antiracist principles to health promotion interventions are needed. The parent study for the current analysis, the Accountability for Cancer Care through Undoing Racism and Equity (ACCURE) intervention, was a system-change intervention that successfully eliminated the Black-White disparity in cancer treatment completion among patients with early-stage breast and lung cancer. The intervention included specially trained nurse navigators who leveraged real-time data to follow-up with patients during their treatment journeys. Community and academic research partners conducted thematic analysis on all clinical notes (n = 3,251) written by ACCURE navigators after each contact with patients in the specialized navigation arm (n = 162). Analysis was informed by transparency and accountability, principles adapted from the antiracist resource Undoing Racism and determined as barriers to treatment completion through prior research that informed ACCURE. We identified six themes in the navigator notes that demonstrated enhanced accountability of the care system to patient needs. Underlying these themes was a process of enhanced data transparency that allowed navigators to provide tailored patient support. Themes include (1) patient-centered advocacy, (2) addressing system barriers to care, (3) connection to resources, (4) re-engaging patients after lapsed treatment, (5) addressing symptoms and side effects, and (6) emotional support. Future interventions should incorporate transparency and accountability mechanisms and examine the impact on racial equity in cancer care.