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JAMA Health Forum Jun 2024States resumed Medicaid eligibility redeterminations, which had been paused during the COVID-19 public health emergency, in 2023. This unwinding of the pandemic...
IMPORTANCE
States resumed Medicaid eligibility redeterminations, which had been paused during the COVID-19 public health emergency, in 2023. This unwinding of the pandemic continuous coverage provision raised concerns about the extent to which beneficiaries would lose Medicaid coverage and how that would affect access to care.
OBJECTIVE
To assess early changes in insurance and access to care during Medicaid unwinding among individuals with low incomes in 4 Southern states.
DESIGN, SETTING, AND PARTICIPANTS
This multimodal survey was conducted in Arkansas, Kentucky, Louisiana, and Texas from September to November 2023, used random-digit dialing and probabilistic address-based sampling, and included US citizens aged 19 to 64 years reporting 2022 incomes at or less than 138% of the federal poverty level.
EXPOSURE
Medicaid enrollment at any point since March 2020, when continuous coverage began.
MAIN OUTCOMES AND MEASURES
Self-reported disenrollment from Medicaid, insurance at the time of interview, and self-reported access to care. Using multivariate logistic regression, factors associated with Medicaid loss were evaluated. Access and affordability of care among respondents who exited Medicaid vs those who remained enrolled were compared, after multivariate adjustment.
RESULTS
The sample contained 2210 adults (1282 women [58.0%]; 505 Black non-Hispanic individuals [22.9%], 393 Hispanic individuals [17.8%], and 1133 White non-Hispanic individuals [51.3%]) with 2022 household incomes less than 138% of the federal poverty line. On a survey-weighted basis, 1564 (70.8%) reported that they and/or a dependent child of theirs had Medicaid at some point since March 2020. Among adult respondents who had Medicaid, 179 (12.5%) were no longer enrolled in Medicaid at the time of the survey, with state estimates ranging from 7.0% (n = 19) in Kentucky to 16.2% (n = 82) in Arkansas. Fewer children who had Medicaid lost coverage (42 [5.4%]). Among adult respondents who left Medicaid since 2020 and reported coverage status at time of interview, 47.8% (n = 80) were uninsured, 27.0% (n = 45) had employer-sponsored insurance, and the remainder had other coverage as of fall 2023. Disenrollment was higher among younger adults, employed individuals, and rural residents but lower among non-Hispanic Black respondents (compared with non-Hispanic White respondents) and among those receiving Supplemental Nutrition Assistance Program benefits. Losing Medicaid was significantly associated with delaying care due to cost and worsening affordability of care.
CONCLUSIONS AND RELEVANCE
The results of this survey study indicated that 6 months into unwinding, 1 in 8 Medicaid beneficiaries reported exiting the program, with wide state variation. Roughly half who lost Medicaid coverage became uninsured. Among those moving to new coverage, many experienced coverage gaps. Adults exiting Medicaid reported more challenges accessing care than respondents who remained enrolled.
Topics: Humans; Medicaid; United States; Health Services Accessibility; Adult; Female; Male; Insurance Coverage; Middle Aged; COVID-19; Poverty; Young Adult; Arkansas
PubMed: 38943683
DOI: 10.1001/jamahealthforum.2024.2193 -
Sleep Jun 2024Obstructive sleep apnea (OSA) increases the risk of cognitive impairment. Measures of sleep microarchitecture from EEG may help identify patients at risk of this...
STUDY OBJECTIVES
Obstructive sleep apnea (OSA) increases the risk of cognitive impairment. Measures of sleep microarchitecture from EEG may help identify patients at risk of this complication.
METHODS
Participants with suspected OSA (n=1142) underwent in-laboratory polysomnography and completed sleep and medical history questionnaires, and tests of global cognition (Montreal Cognitive Assessment, MoCA), memory (Rey Auditory Verbal Learning Test, RAVLT) and information processing speed (Digit-Symbol Coding, DSC). Associations between cognitive scores and stage 2 NREM sleep spindle density, power, frequency and %-fast (12-16Hz), odds-ratio product (ORP), normalized EEG power (EEGNP) and the delta:alpha ratio were assessed using multivariable linear regression (MLR) adjusted for age, sex, education, and total sleep time. Mediation analyses were performed to determine if sleep microarchitecture indices mediate the negative effect of OSA on cognition.
RESULTS
All spindle characteristics were lower in participants with moderate and severe OSA (p≤0.001, versus no/mild OSA) and positively associated with MoCA, RAVLT and DSC scores (false discovery rate corrected p-value, q≤0.026), except spindle power which was not associated with RAVLT (q=0.185). ORP during NREM sleep (ORPNREM) was highest in severe OSA participants (p≤0.001) but neither ORPNREM (q≥0.230) nor the delta:alpha ratio were associated with cognitive scores in MLR analyses (q≥0.166). In mediation analyses, spindle density and EEGNP (p≥0.048) mediated moderate-to-severe OSA's negative effect on MoCA scores while ORPNREM, spindle power and %-fast spindles mediated OSA's negative effect on DSC scores (p≤0.018).
CONCLUSION
Altered spindle activity, ORP and normalized EEG power may be important contributors to cognitive deficits in patients with OSA.
PubMed: 38943546
DOI: 10.1093/sleep/zsae141 -
Journal of Applied Biomechanics Jun 2024The purpose of this study was to investigate the hierarchical organization of digit force production and its effect on stability and performance during the simulated...
The purpose of this study was to investigate the hierarchical organization of digit force production and its effect on stability and performance during the simulated archery task. The simulated archery shooting task required the production of a prescribed level of force in virtual space with the left hand and an equivalent force with all 4 fingers of right hand. A single trial had 2 phases, including static force production as aiming in archery and quick force release to shoot the virtual arrow. The timing of the force release was determined by the participant's choice or response to the external cue. The coordination indices, that is, the synergy index, of force stabilization were quantified in 2 hierarchies by decomposing the variance components. The accuracy and precision of the hit position of the virtual arrow were calculated as performance-related indices. The results confirmed that the precision, that is, reproducibility, of the performance was greater when the force release time was determined by the self-selected time, suggesting the beneficial effect of the anticipatory mechanism. There was a distinct synergistic organization of digit forces for the stabilization of net forces in both bimanual and multifinger levels, which was especially correlated with the precision of performance.
PubMed: 38942418
DOI: 10.1123/jab.2022-0317 -
PLOS Digital Health Jun 2024Traditional cognitive assessments in schizophrenia are time-consuming and necessitate specialized training, making routine evaluation challenging. To overcome these...
Traditional cognitive assessments in schizophrenia are time-consuming and necessitate specialized training, making routine evaluation challenging. To overcome these limitations, this study investigates the feasibility and advantages of utilizing smartphone-based assessments to capture both cognitive functioning and digital phenotyping data and compare these results to gold standard measures. We conducted a secondary analysis of data from 76 individuals with schizophrenia, who were recruited across three sites (one in Boston, two in India) was conducted. The open-source mindLAMP smartphone app captured digital phenotyping data and Trails A/B assessments of attention / memory for up to 12 months. The smartphone-cognitive tasks exhibited potential for normal distribution and these scores showed small but significant correlations with the results from the Brief Assessment of Cognition in Schizophrenia, especially the digital span and symbol coding tasks (r2 = 0.21). A small but significant correlation (r2 = 0.29) between smartphone-derived cognitive scores and health-related behaviors such as sleep duration patterns was observed. Smartphone-based cognitive assessments show promise as cross-cultural tools that can capture relevant data on momentary states among individuals with schizophrenia. Cognitive results related to sleep suggest functional applications to digital phenotyping data, and the potential of this multimodal data approach in research.
PubMed: 38941349
DOI: 10.1371/journal.pdig.0000526 -
Journal of Cutaneous Pathology Jun 2024A wide spectrum of tumors may affect the periungual spaces of the digits. Superficial acral fibromyxoma (SAF) is a rare, benign soft tissue tumor with diverse clinical...
A wide spectrum of tumors may affect the periungual spaces of the digits. Superficial acral fibromyxoma (SAF) is a rare, benign soft tissue tumor with diverse clinical presentations. We present a case of a 55-year-old woman with a 2-year history of a solitary periungual tumor on the left thumb, subjected to multiple episodes of trauma. Initially suspected to be a periungual squamous cell carcinoma (SCC) based on clinical and dermoscopic features, the tumor was confirmed to be a CD34 SAF through histopathology and immunohistochemistry. Although CD34 immunoreactivity is common in SAF, one-third of these tumors, including this case, do not stain for this marker. Periungual SCC considered a "great mimicker of nail tumors," may resemble other benign nail tumors such as SAF. The patient underwent complete surgical excision with primary closure, resulting in no recurrence after 1 year. This case highlights SAF as an underrecognized benign entity that may manifest with features suspicious of malignancy, potentially leading to unnecessarily aggressive interventions. Recognizing SAF through accurate biopsy techniques and thorough histopathologic evaluation, even in the absence of CD34 reactivity, is crucial for appropriate treatment and preservation of hand function and appearance.
PubMed: 38940413
DOI: 10.1111/cup.14675 -
Mayo Clinic Proceedings. Digital Health Jun 2024This study aimed to review the application of natural language processing (NLP) in thyroid-related conditions and to summarize current challenges and potential future...
This study aimed to review the application of natural language processing (NLP) in thyroid-related conditions and to summarize current challenges and potential future directions. We performed a systematic search of databases for studies describing NLP applications in thyroid conditions published in English between January 1, 2012 and November 4, 2022. In addition, we used a snowballing technique to identify studies missed in the initial search or published after our search timeline until April 1, 2023. For included studies, we extracted the NLP method (eg, rule-based, machine learning, deep learning, or hybrid), NLP application (eg, identification, classification, and automation), thyroid condition (eg, thyroid cancer, thyroid nodule, and functional or autoimmune disease), data source (eg, electronic health records, health forums, medical literature databases, or genomic databases), performance metrics, and stages of development. We identified 24 eligible NLP studies focusing on thyroid-related conditions. Deep learning-based methods were the most common (38%), followed by rule-based (21%), and traditional machine learning (21%) methods. Thyroid nodules (54%) and thyroid cancer (29%) were the primary conditions under investigation. Electronic health records were the dominant data source (17/24, 71%), with imaging reports being the most frequently used (15/17, 88%). There is increasing interest in NLP applications for thyroid-related studies, mostly addressing thyroid nodules and using deep learning-based methodologies with limited external validation. However, none of the reviewed NLP applications have reached clinical practice. Several limitations, including inconsistent clinical documentation and model portability, need to be addressed to promote the evaluation and implementation of NLP applications to support patient care in thyroidology.
PubMed: 38938930
DOI: 10.1016/j.mcpdig.2024.03.007 -
JACS Au Jun 2024This report develops a point-of-use chemical trigger and applies it to a dual-functional chemical encryption chip that enables manual and digital identification with...
This report develops a point-of-use chemical trigger and applies it to a dual-functional chemical encryption chip that enables manual and digital identification with enhanced coding security levels suitable for on-site information verification. The concept relies on conducting continuous chemical synthesis and chromatographic separation of specified compounds on a paper device in a straightforward sketch. In addition to single-step chemical reactions, cascade syntheses and operations involving components of distinct mobilities are also demonstrated. The condensation of dione and hydrazine is first demonstrated on a linear paper reactor, where precursors can mix to react, followed by final product separation under optimized conditions. This linear paper reactor design can also support a multistep cascade Wittig reaction by controlling the relative mobility of reactants, intermediates, and final products. Furthermore, a three-dimensional paper reactor with appropriate mobile phases helps to initiate complex solvent system-driven azide-alkyne cycloaddition. By the use of a three-dimensional device design for spatially limited interdevice reactant transportation, reactants crossing designated boundaries trigger confined chemical reactions at specific positions. Accumulation of repetitive reactions leads to successful product gradient generation and mixing effects, representing a fully controllable intersubstrate chemical operation on the platform. Standing on initiating desired chemical reactions at particular interface regions, integration of appropriate selective reaction area, numerical digits overlay, color diversity, and mobile recognition realizes this dual-functional multicoding encryption process.
PubMed: 38938820
DOI: 10.1021/jacsau.4c00062 -
NPJ Digital Medicine Jun 2024Early-life exposure to stress results in significantly increased risk of neurodevelopmental impairments with potential long-term effects into childhood and even...
Early-life exposure to stress results in significantly increased risk of neurodevelopmental impairments with potential long-term effects into childhood and even adulthood. As a crucial step towards monitoring neonatal stress in neonatal intensive care units (NICUs), our study aims to quantify the duration, frequency, and physiological responses of care manipulation activities, based on bedside videos and physiological signals. Leveraging 289 h of video recordings and physiological data within 330 sessions collected from 27 neonates in 2 NICUs, we develop and evaluate a deep learning method to detect manipulation activities from the video, to estimate their duration and frequency, and to further integrate physiological signals for assessing their responses. With a 13.8% relative error tolerance for activity duration and frequency, our results were statistically equivalent to human annotations. Further, our method proved effective for estimating short-term physiological responses, for detecting activities with marked physiological deviations, and for quantifying the neonatal infant stressor scale scores.
PubMed: 38937643
DOI: 10.1038/s41746-024-01164-y -
A multi-center study on the adaptability of a shared foundation model for electronic health records.NPJ Digital Medicine Jun 2024Foundation models are transforming artificial intelligence (AI) in healthcare by providing modular components adaptable for various downstream tasks, making AI...
Foundation models are transforming artificial intelligence (AI) in healthcare by providing modular components adaptable for various downstream tasks, making AI development more scalable and cost-effective. Foundation models for structured electronic health records (EHR), trained on coded medical records from millions of patients, demonstrated benefits including increased performance with fewer training labels, and improved robustness to distribution shifts. However, questions remain on the feasibility of sharing these models across hospitals and their performance in local tasks. This multi-center study examined the adaptability of a publicly accessible structured EHR foundation model (FM), trained on 2.57 M patient records from Stanford Medicine. Experiments used EHR data from The Hospital for Sick Children (SickKids) and Medical Information Mart for Intensive Care (MIMIC-IV). We assessed both adaptability via continued pretraining on local data, and task adaptability compared to baselines of locally training models from scratch, including a local foundation model. Evaluations on 8 clinical prediction tasks showed that adapting the off-the-shelf FM matched the performance of gradient boosting machines (GBM) locally trained on all data while providing a 13% improvement in settings with few task-specific training labels. Continued pretraining on local data showed FM required fewer than 1% of training examples to match the fully trained GBM's performance, and was 60 to 90% more sample-efficient than training local foundation models from scratch. Our findings demonstrate that adapting EHR foundation models across hospitals provides improved prediction performance at less cost, underscoring the utility of base foundation models as modular components to streamline the development of healthcare AI.
PubMed: 38937550
DOI: 10.1038/s41746-024-01166-w -
Experimental Gerontology Jun 2024The human vestibular system is adversely affected by the aging process. Recent evidence indicates that vestibular information and cognitive functions are related,...
The human vestibular system is adversely affected by the aging process. Recent evidence indicates that vestibular information and cognitive functions are related, suggesting that age-related vestibular loss may contribute to cognitive impairment. In this study, we aimed to investigate the effects of repetitive, home-based galvanic vestibular stimulation (GVS) on cognitive functions in healthy older adults. Twenty-one participants (age = 64.66 ± 2.97 years, 12 females) were randomly allocated to either a home-based GVS or an active control group. The GVS intervention lasted 20 min per session, five times a week, for two weeks (10 sessions). Cognitive functions were assessed before and after the intervention using the Stroop Test, Trail Making Test A&B, and Dual-Task (digit recall and paper-pencil tracking test). Our findings revealed a significant group-by-time interaction effect for the tracking accuracy (F(1,18) = 7.713, p = 0.012, η = 0.30), with only the home-based GVS group showing significant improvement (t = -2.544, p = 0.029). The proposed home-based GVS protocol offers a promising non-pharmacological avenue for enhancing visuospatial ability in healthy older adults. Further research is needed to investigate the effects of different GVS protocols on various cognitive functions, particularly in older individuals with different health conditions.
PubMed: 38936440
DOI: 10.1016/j.exger.2024.112504