Prevalence of dry eye disease in the low vision population at the University of Colorado

Purpose: To evaluate the prevalence of diagnosed dry eye syndrome, meibomian gland dysfunction, and blepharitis amongst the low vision population. Methods: A retrospective analysis was conducted on patients seen in the University of Colorado Low Vision Rehabilitation Service between the dates of 12/1/2017 and 12/1/2022. 74 ICD-10 codes were used to identify patients as having dry eye syndrome or not having dry eye syndrome. Data was further analyzed to determine the prevalence of blepharitis and meibomian gland dysfunction using 29 blepharitis and 9 meibomian gland dysfunction ICD-10 codes. Data were also analyzed to determine the age and sex of the patients with diagnosed dry eye syndrome. Results: The percentage of patients with a diagnosis of dry eye syndrome by an eyecare provider was 38.02 %. The prevalence of dry eye syndrome by age group was 3.57 % for 0–19 years, 14.35 % for 20–39 years, 29.07 % for 40–59 years, 43.79 % for 60–79 years, and 46.21 % for 80 and above. The prevalence of meibomian gland dysfunction and blepharitis was 11.90 % and 9.1 % respectively. Dry eye syndrome prevalence amongst males was 31.59 % and 42.47 % for females. Conclusion: This study demonstrates that dry eye syndrome in the low vision population is a significant co-morbidity occurring in over a third of patients in the University of Colorado Low Vision Rehabilitation Service. These findings are meaningful as ocular comfort should not be overlooked while managing complex visual needs. (AU)

Lower comorbidity scores and severity levels in Veterans Health Administration hospitals: a cross-sectional study.

BACKGROUND: Previous studies found that documentation of comorbidities differed when Veterans received care within versus outside Veterans Health Administration (VHA). Changes to medical center funding, increased attention to performance reporting, and expansion of Clinical Documentation Improvement programs, however, may have caused coding in VHA to change. METHODS: Using repeated cross-sectional data, we compared Elixhauser-van Walraven scores and Medicare Severity Diagnosis Related Group (DRG) severity levels for Veterans' admissions across settings and payers over time, utilizing a linkage of VHA and all-payer discharge data for 2012-2017 in seven US states. To minimize selection bias, we analyzed records for Veterans admitted to both VHA and non-VHA hospitals in the same year. Using generalized linear models, we adjusted for patient and hospital characteristics. RESULTS: Following adjustment, VHA admissions consistently had the lowest predicted mean comorbidity scores (4.44 (95% CI 4.34-4.55)) and lowest probability of using the most severe DRG (22.1% (95% CI 21.4%-22.8%)). In contrast, Medicare-covered admissions had the highest predicted mean comorbidity score (5.71 (95% CI 5.56-5.85)) and highest probability of using the top DRG (35.3% (95% CI 34.2%-36.4%)). CONCLUSIONS: More effective strategies may be needed to improve VHA documentation, and current risk-adjusted comparisons should account for differences in coding intensity.

Gender differences in learning and study strategies impact medical students' preclinical and USMLE step 1 examination performance.

BACKGROUND: Evaluation of students' learning strategies can enhance academic support. Few studies have investigated differences in learning strategies between male and female students as well as their impact on United States Medical Licensing Examination® (USMLE) Step 1 and preclinical performance. METHODS: The Learning and Study Strategies Inventory (LASSI) was administered to the classes of 2019-2024 (female (n = 350) and male (n = 262)). Students' performance on preclinical first-year (M1) courses, preclinical second-year (M2) courses, and USMLE Step 1 was recorded. An independent t-test evaluated differences between females and males on each LASSI scale. A Pearson product moment correlation determined which LASSI scales correlated with preclinical performance and USMLE Step 1 examinations. RESULTS: Of the 10 LASSI scales, Anxiety, Attention, Information Processing, Selecting Main Idea, Test Strategies and Using Academic Resources showed significant differences between genders. Females reported higher levels of Anxiety (p < 0.001), which significantly influenced their performance. While males and females scored similarly in Concentration, Motivation, and Time Management, these scales were significant predictors of performance variation in females. Test Strategies was the largest contributor to performance variation for all students, regardless of gender. CONCLUSION: Gender differences in learning influence performance on STEP1. Consideration of this study's results will allow for targeted interventions for academic success.

Developing an mHealth program to improve HIV care continuum outcomes among young Black gay and bisexual men.

BACKGROUND: Young Black gay and bisexual men (YBGBM) in the United States face significant disparities in HIV care outcomes. Mobile health (mHealth) interventions have shown promise with improving outcomes for YBGBM across the HIV care continuum. METHODS: We developed an mHealth application using human-centered design (HCD) from 2019-2021 in collaboration with YBGBM living with HIV and with HIV service providers. Our HCD process began with six focus groups with 50 YBGBM and interviews with 12 providers. These insights were used to inform rapid prototyping, which involved iterative testing and refining of program features and content, with 31 YBGBM and 12 providers. We then collected user feedback via an online survey with 200 YBGBM nationwide and usability testing of a functional prototype with 21 YBGBM. RESULTS: Focus groups and interviews illuminated challenges faced by YBGBM living with HIV, including coping with an HIV diagnosis, stigma, need for social support, and a dearth of suitable information sources. YBGBM desired a holistic approach that could meet the needs of those newly diagnosed as well as those who have been living with HIV for many years. Program preferences included video-based content where users could learn from peers and experts, a range of topics, a community of people living with HIV, and tools to support their health and well-being. Providers expressed enthusiasm for an mHealth program to improve HIV care outcomes and help them serve clients. Rapid prototyping resulted in a list of content topics, resources, video characteristics, community features, and mHealth tools to support adherence, retention, goal setting, and laboratory results tracking, as well as tools to help organization staff to support clients. Online survey and usability testing confirmed the feasibility, acceptability, and usability of the content, tools, and features. CONCLUSIONS: This study demonstrates the potential of a video-based mHealth program to address the unique needs of YBGBM living with HIV, offering support and comprehensive information through a user-friendly interface and videos of peers living with HIV and of experts. The HCD approach allowed for continuous improvements to the concept to maximize cultural appropriateness, utility, and potential effectiveness for both YBGBM and HIV service organizations.

Twenty-four-hour physical activity patterns associated with depressive symptoms: a cross-sectional study using big data-machine learning approach.

BACKGROUND: Depression is a global burden with profound personal and economic consequences. Previous studies have reported that the amount of physical activity is associated with depression. However, the relationship between the temporal patterns of physical activity and depressive symptoms is poorly understood. In this exploratory study, we hypothesize that a particular temporal pattern of daily physical activity could be associated with depressive symptoms and might be a better marker than the total amount of physical activity. METHODS: To address the hypothesis, we investigated the association between depressive symptoms and daily dominant activity behaviors based on 24-h temporal patterns of physical activity. We conducted a cross-sectional study on NHANES 2011-2012 data collected from the noninstitutionalized civilian resident population of the United States. The number of participants that had the whole set of physical activity data collected by the accelerometer is 6613. Among 6613 participants, 4242 participants had complete demography and Patient Health Questionnaire-9 (PHQ-9) questionnaire, a tool to quantify depressive symptoms. The association between activity-count behaviors and depressive symptoms was analyzed using multivariable logistic regression to adjust for confounding factors in sequential models. RESULTS: We identified four physical activity-count behaviors based on five physical activity-counting patterns classified by unsupervised machine learning. Regarding PHQ-9 scores, we found that evening dominant behavior was positively associated with depressive symptoms compared to morning dominant behavior as the control group. CONCLUSIONS: Our results might contribute to monitoring and identifying individuals with latent depressive symptoms, emphasizing the importance of nuanced activity patterns and their probability of assessing depressive symptoms effectively.

Association between sleep disorders and physical activity in middle-aged Americans: a cross-sectional study from NHANES.

BACKGROUND: Among the numerous studies on physical activity and sleep disorders, few have focused on physical activity and sleep disorders in middle-aged people who are particularly stressed. A restricted cubic web (RCS) technique was applied to determine whether physical activity and the self-rated prevalence of sleep disorders exhibit a dose-response relationship in middle-aged adults. METHODS: This study analyzed 8880 middle-aged adults aged 40-65 years who participated in the National Health and Nutrition Examination Survey (NHANES) 2007-2018. Logistic regression was performed to estimate the odds ratio (OR) and 95% confidence interval (CI) between physical activity and sleep disorders in middle-aged adults. Thereafter, the dose-response connection was examined using RCS. RESULTS: After adjusting for potential confounders, subjects with MET values in the first quartile (Q1) had odds ratios (OR) for sleep disturbance of 0.851 (95% CI = 0.745-0.973), 0.800 (95% CI = 0.698-0.917), and 0.780 (95% CI = 0.680-0.895) compared to subjects with MET values in the second, third, and fourth quartiles respectively. RCS regression showed a non-linear association between physical activity and sleep disorders in middle-aged adults (non-linearity P = 0.0382). Furthermore, the prevalence of sleep disorders in middle-aged adults decreased with increasing physical activity, reaching a minimum when weekly physical activity was around 166.27MET*h (OR = 0.885, 95% CI = 0.799-0.981). CONCLUSION: Our research demonstrates that physical activity was negatively associated with sleep disorders.

Impact of early death recording on international comparison of acute myocardial infarction mortality - administrative hospital data study using the example of Germany and the United States.

BACKGROUND: In-hospital mortality from acute myocardial infarction (AMI) is widely used in international comparisons as an indicator of health system performance. Because of the high risk of early death after AMI, international comparisons may be biased by differences in the recording of early death cases in hospital inpatient data. This study examined whether differences in the recording of early deaths affect international comparisons of AMI in-hospital mortality by using the example of Germany and the United States, and explored approaches to address this issue. METHODS: The German Diagnosis-Related Groups Statistics (DRG Statistics), the U.S. National Inpatient Sample (NIS) and the U.S. Nationwide Emergency Department Sample (NEDS) were analysed from 2014 to 2019. Cases with treatment for AMI were identified in German and U.S. inpatient data. AMI deaths occurring in the emergency department (ED) without inpatient admission were extracted from NEDS data. 30-day in-hospital mortality figures were calculated according to the OECD indicator definition (unlinked data) and modified by including ED deaths, or excluding all same-day cases. RESULTS: German age-and-sex standardized 30-day in-hospital mortality was substantially higher compared to the U.S. (in 2019, 7.3% vs. 4.6%). The ratio of German vs. U.S. mortality was 1.6. After inclusion of ED deaths in U.S. data this ratio declined to 1.4. Exclusion of same-day cases in German and U.S. data led to a similar ratio. CONCLUSIONS: While short-duration treatments due to early death are generally recorded in German inpatient data, in U.S. inpatient data those cases are partially missing. Excluding cases with short-duration treatment from the calculation of mortality indicators could be a feasible approach to account for differences in the recording of early deaths, that might be existent in other countries as well.

Understanding pathways from implementation to sustainment: a longitudinal, mixed methods analysis of promising practices implemented in the Veterans Health Administration.

BACKGROUND: The Veterans Health Administration (VHA) is the United States largest learning health system. The Diffusion of Excellence (DoE) program is a large-scale model of diffusion that identifies and diffuses evidence-informed practices across VHA. During the period of 2016-2021, 57 evidence-informed practices were implemented across 82 VHA facilities. This setting provides a unique opportunity to understand sustainment determinants and pathways. Our objective was to characterize the longitudinal pathways of practices as they transition from initial implementation to long-term sustainment at each facility. METHODS: A longitudinal, mixed-methods evaluation of 82 VHA facilities. Eighty-two facility representatives, chosen by leadership as points-of-contact for 57 DoE practices, were eligible for post-implementation interviews and annual sustainment surveys. Primary outcomes (implementation, sustainment), and secondary outcomes (institutionalization, effectiveness, anticipated sustainment) at four time-points were collected. We performed descriptive statistics and directed content analysis using Hailemariam et al.'s factors influencing sustainment. RESULTS: After approximately five years post-implementation (e.g., 2021 sustainment outcomes), of the 82 facilities, about one-third fully sustained their practice compared to one-third that did not fully sustain their practice because it was in a "liminal" stage (neither sustained nor discontinued) or permanently discontinued. The remaining one-third of facilities had missing 2021 sustainment outcomes. A higher percentage of facilities (70%) had inconsistent primary outcomes (changing over time) compared to facilities (30%) with consistent primary outcomes (same over time). Thirty-four percent of facilities with sustained practices reported resilience since they overcame implementation and sustainment barriers. Facilities with sustained practices reported more positive secondary outcomes compared to those that did not sustain their practice. Key factors facilitating practice sustainment included: demonstrating practice effectiveness/benefit, sufficient organizational leadership, sufficient workforce, and adaptation/alignment with local context. Key factors hindering practice sustainment included: insufficient workforce, not able to maintain practice fidelity/integrity, critical incidents related to the COVID-19 pandemic, organizational leadership did not support sustainment of practice, and no ongoing support. CONCLUSIONS: We identified diverse pathways from implementation to sustainment, and our data underscore that initial implementation outcomes may not determine long-term sustainment outcomes. This longitudinal evaluation contributes to understanding impacts of the DoE program, including return on investment, achieving learning health system goals, and insights into achieving high-quality healthcare in VHA.

The relevance and accuracy of an AI algorithm-based descriptor on 23 facial attributes in a diverse female US population.

BACKGROUND: The response of AI in situations that mimic real life scenarios is poorly explored in populations of high diversity. OBJECTIVE: To assess the accuracy and validate the relevance of an automated, algorithm-based analysis geared toward facial attributes devoted to the adornment routines of women. METHODS: In a cross-sectional study, two diversified groups presenting similar distributions such as age, ancestry, skin phototype, and geographical location was created from the selfie images of 1041 female in a US population. 521 images were analyzed as part of a new training dataset aimed to improve the original algorithm and 520 were aimed to validate the performance of the AI. From a total 23 facial attributes (16 continuous and 7 categorical), all images were analyzed by 24 make-up experts and by the automated descriptor tool. RESULTS: For all facial attributes, the new and the original automated tool both surpassed the grading of the experts on a diverse population of women. For the 16 continuous attributes, the gradings obtained by the new system strongly correlated with the assessment made by make-up experts (r ≥ 0.80; p < 0.0001) and supported by a low error rate. For the seven categorical attributes, the overall accuracy of the AI-facial descriptor was improved via enrichment of the training dataset. However, some weaker performance in spotting specific facial attributes were noted. CONCLUSION: In conclusion, the AI-automatic facial descriptor tool was deemed accurate for analysis of facial attributes for diverse women although some skin complexion, eye color, and hair features required some further finetuning.

Sources of exposure to non-tobacco nicotine electronic nicotine delivery systems and associations with susceptibility to use and use behaviors among young adults in the United States.

INTRODUCTION: The Electronic Nicotine Delivery Systems (ENDS) industry recently introduced non-tobacco nicotine (NTN), which is not tobacco-derived and is often marketed as "tobacco-free nicotine." Given its novelty, it is important to understand where young adults learn about NTN ENDS. This study examined sources of exposure to NTN ENDS and relationships with NTN ENDS use and susceptibility. METHODS: We analyzed online survey data collected in Fall 2021 from 642 young adults (18-25 years) who had heard of NTN ENDS. We assessed 9 sources of NTN ENDS exposure (e.g., retail stores, social media) and examined associations between sources of exposure and NTN current (past-month) use, lifetime (non-current) use, and susceptibility to use, adjusting for demographics and other tobacco product use. RESULTS: Participants reported current NTN ENDS use (37.4%), lifetime use (12.0%), susceptibility (18.5%), or no susceptibility to use (32.1%). The most common sources of NTN ENDS exposure were retail stores (87.7%) and social media (81.0%). Exposure to NTN ENDS via social media was associated with greater odds of current NTN ENDS use (vs. no susceptibility) (aOR = 1.83, 95%CI: 1.02-3.28). Exposure via online streaming platforms was associated with greater odds of current (aOR = 1.75, 95%CI: 1.08-2.82) and lifetime NTN ENDS use (aOR = 2.42, 95%CI: 1.25-4.68). CONCLUSIONS: Young adults were exposed to and learned about NTN ENDS from diverse sources, primarily retail shops and social media. Further, exposure via social media and streaming platforms were associated with NTN ENDS use. Future studies should explore the content of NTN information from various sources to inform prevention efforts.

Prenatal opioid exposure by likelihood of exposure and risk to prenatal development: Medicaid-covered births in Wisconsin, 2010-2019.

Prenatal opioid exposure is an established public health problem, in particular among Medicaid-covered births. Yet, existing prevalence rates are plausibly underestimated. We leverage extensive linked longitudinal administrative data for all Medicaid-covered live births in Wisconsin from 2010 to 2019 to estimate a range of prevalence rates using an innovative strategy that jointly accounts for both likelihood of exposure and potential risk to prenatal development. We find that 20.8% of infants may have been prenatally exposed to opioids, with 1.7% diagnosed with neonatal abstinence syndrome and an additional 1.2% having a high combined likelihood of exposure and potential risk to prenatal development, 2.6% a moderate combined likelihood and risk, and 15.3% a low or uncertain combined likelihood and risk. We assess improvements in prevalence estimates based on our nuanced classification relative to those of prior studies. Our strategy could be broadly used to quantify the scope of the opioid crisis for pregnant populations, target interventions, and promote child health and development.

Barriers to Esketamine Nasal Spray Treatment Among Adults With Treatment-Resistant Depression.

Background: Under a risk evaluation and mitigation strategy program, esketamine nasal spray CIII requires self administration at a certified treatment center. Our objective was to identify factors associated with esketamine initiation and continuation.Methods: A retrospective observational cohort study was conducted among US adults who met treatment-resistant depression (TRD) criteria. Cases (n = 966) initiated esketamine between October 11, 2019, and February 28, 2022, and were compared to controls (n = 39,219) with TRD but no esketamine use. Outcomes included initiation, induction (8 administrations within 45 days), and interruptions (30-day treatment gap). Comorbid psychiatric conditions were identified using International Classification of Diseases, Tenth Revision, Clinical Modification, codes.Results: Cases resided significantly closer to treatment centers (8.9 vs 20.3 miles). Compared to 0-9 miles, initiation rate decreased by 11.9%, 50.8%, 68.1%, 75.9%, and 92.8% for individuals residing 10-19, 20-29, 30-39, 40-49, and 50+ miles from a center. After adjustment, factors associated with increased likelihood of initiation were posttraumatic stress disorder, major depressive disorder with suicidal ideation, and male sex, while increasing distance, substance use disorder, Medicaid, Charlson Comorbidity Index (CCI), and older age were associated with lower likelihood. Factors associated with lower likelihood of completing induction were Medicaid, low socioeconomic status (SES), CCI, and Hispanic communities. Factors associated with increased likelihood of interruption were alcohol use disorder, distance, and minority communities, while generalized anxiety disorder and Medicaid were associated with lower likelihood.Conclusions: Travel distance, insurance, low SES, and minority communities are potential barriers to treatment. Alternative care models may be needed to ensure adequate access to care.J Clin Psychiatry 2024;85(2):23m15102.

Dental Care Among Adults Age 65 and Older: United States, 2022.

Oral health is associated with overall health, especially in older adults (age 65 and older). Chronic conditions in older adults may affect oral health, and poor oral health may increase the risk of certain chronic conditions (1-3). Poor oral health has also been associated with increased cardiovascular disease risk (4). Several factors, including chronic conditions, health status, race, and income have been associated with reduced dental care use among older adults (5-9). This report describes the percentage of older adults who had a dental visit in the past 12 months by selected sociodemographic characteristics and chronic conditions using the 2022 National Health Interview Survey (NHIS). .

The Changing Face of Public Services in Health Sciences Libraries Post-Pandemic.

Health sciences library public services underwent profound changes due to the COVID-19 pandemic. Circulation, reference services, instruction, interlibrary loan, and programming were all significantly affected. Libraries adapted by moving to virtual services, featuring online workshops, video consultations, and digital information sharing. Reference services moved to virtual consultations for a streamlined experience, and instruction transitioned to interactive video tutorials. Interlibrary loan services saw a decrease in print material lending but an increase in electronic subscriptions. Library programming shifted from in-person to virtual, focusing on wellness activities. This post-pandemic transformation underscores the importance of ongoing adaptation to meet changing user needs.

Infertility and Impaired Fecundity in Women and Men in the United States, 2015-2019.

Objectives-Using National Survey of Family Growth data from 2015-2019, this report presents updated national estimates of infertility in U.S. women and men and estimates of impaired fecundity (physical ability to have children) in U.S. women. Detailed demographic breakdowns are also presented, and overall estimates for 2015-2019 are compared with those for 2011-2015. Methods-Data for this report come primarily from the 2015-2019 National Survey of Family Growth, which consisted of 21,441 interviews with men and women ages 15-49, conducted from September 2015 through September 2019. The response rate was 65.9% for women and 62.4% for men. Results-The percentage of women ages 15-44 who had impaired fecundity did not change between 2011-2015 and 2015-2019. The percentage of married women with impaired fecundity also remained stable over this time period. Among all women, 13.4% of women ages 15-49 and 15.4% of women ages 25-49 had impaired fecundity in 2015-2019. The percentage of married women ages 15-44 who were infertile rose from 2011-2015 (6.7%) to 2015-2019 (8.7%). Among married and cohabiting women ages 15-49 in 2015-2019, 7.8% had infertility. Both infertility and impaired fecundity were associated with age for nulliparous (never had a live birth) women after adjusting for other factors. Some form of infertility (either subfertility or nonsurgical sterility) was seen in 11.4% of men ages 15-49 and 12.8% of men ages 25-49 in 2015-2019. . Conclusion-Although these findings are not nationally representative, this report illustrates how linked NHCS-HUD data may provide insight into maternal health outcomes of patients who received housing assistance compared with those who did not.

White House overhauls rules for risky pathogen research.

New policy governs gain-of-function and "dual-use" studies.

Mr. Thorp goes to Washington.

On 2 April, I received an email that changed the course of the next 2 weeks. The Select Subcommittee on the Coronavirus Pandemic, chaired by United States Congressman Brad Wenstrup, invited me to testify along with my counterparts at Nature and The Lancet. The purpose of the public hearing (Academic Malpractice: Examining the Relationship Between Scientific Journals, the Government, and Peer Review) was to determine whether government officials, specifically former National Institutes of Health leaders Francis Collins and Anthony Fauci, steered journals to publish papers suppressing the idea that COVID-19 may have arisen from a lab accident in Wuhan, China. I was not subpoenaed to appear but made the decision to testify voluntarily. My counterparts, who are based in the United Kingdom, decided not to attend.

Virus gone wild.

An ambitious U.S. project aims to sample more than 50 animal species to clarify how the COVID-19 virus moves between people and wildlife.