Missed Opportunities: Characteristics of People Who Received a Concurrent HIV/AIDS Diagnosis in New York State From 2016 to 2021.

BACKGROUND: Late HIV diagnosis is associated with a wide range of negative outcomes. The aim of this study was to identify the characteristics of individuals who received a concurrent diagnosis (CDX) in New York State (NYS) so that more effective interventions can be developed to encourage earlier testing among these populations. METHODS: The NYS HIV registry was used to identify people who received a CDX from 2016 to 2021. A CDX was a diagnosis that met the criteria for a stage 3 HIV infection within 30 days of the initial HIV diagnosis. Sex at birth, race/ethnicity, transmission risk group, age at diagnosis, region of residence at diagnosis, urbanicity of zip code of diagnosis, and type of diagnosing facility were used as covariates. Bivariate and multivariate risk ratios were calculated to quantify associations between CDX and covariates. RESULTS: There were 14,866 people newly diagnosed with HIV in NYS from 2016 to 2021, of which 19.0% had a CDX. Those with female sex at birth, history of injection drug use, or history of male-to-male sexual contact/history of injection drug use risk were less likely to have a CDX. Increased age, Asian race/ethnicity, residence outside of New York City, and diagnosis at inpatient facilities or emergency rooms were associated with an increased likelihood of a CDX. CONCLUSION: Populations with the highest proportions of CDX were ones that made up a small percentage of all new HIV diagnoses and may not be benefiting as much from current HIV prevention efforts. There are complex interactions between many factors including geographic and social characteristics that may lead to delayed diagnostic testing.

Study protocol: Examining sexual and reproductive health literacy in Mexican American young women using a positive deviance approach.

Health literacy is generally low in marginalized groups, leading to delays in accessing care, poor health outcomes, and health disparities. Yet, some individuals in these groups demonstrate higher health literacy and better health outcomes. These exceptional cases exemplify 'positive deviance' because they have found ways to be successful where others have not. Identifying the methods, practices, and resources that these individuals have used to gain health literacy and healthcare access may have generalized application to improve health literacy, access to care, and health outcomes. Using the Integrated Model of Health Literacy, the main objectives of this study are to (1) identify facilitators, barriers, and strategies to gain sexual and reproductive health literacy and healthcare access and (2) to explore each of the core domains of health literacy as they relate to successful access of sexual and reproductive healthcare services among individuals identified as positive deviants. For the purposes of this mixed methods community engaged study, positive deviants are defined as Mexican American young women aged 18-29 years old living in Rural Western New York who have accessed sexual and reproductive healthcare within the past year. A community advisory committee will be formed to provide community-engaged guidance and support for the recruitment of participants. Positive deviants will participate in a survey and semi-structured interview. Data collection and analysis will be simultaneous and iterative. Results will provide evidence of positive deviant methods, practices, and strategies to gain health literacy and access to sexual and reproductive healthcare. Findings may reveal characteristics and patterns in the relationship of health literacy and healthcare access that can inform interventions to improve health literacy and make healthcare more accessible for this demographic group and context.

Exploring Anabolic Androgenic Steroid Use Among Cisgender Gay, Bisexual, and Queer Men.

Importance: Anabolic androgenic steroids (AAS) are disproportionately used by sexual minority men, with the physical and mental health implications of AAS use incompletely understood. Objective: To understand the reasons for use and health care needs of gay, bisexual, and queer cisgender men using AAS. Design, Setting, and Participants: This qualitative study was conducted from November 2021 to May 2023 using self-administered questionnaires and semistructured interviews that were transcribed and coded using reflexive thematic analysis. Participants were recruited through convenience and snowball sampling from lesbian, gay, bisexual, transgender, and queer clinical centers in New York, New York, as well as through online platforms. All patients self-identified as cisgender and gay, bisexual, or queer. Exposures: History of nonprescribed AAS use for a minimum of 8 consecutive weeks was required. Main Outcomes and Measures: The primary outcomes were reasons for and health implications of AAS use and interactions with health care practitioners, as determined through interviews. Interview transcripts were collected and analyzed. Results: Thematic saturation was reached after interviews with 12 male participants (mean [SD] age, 44 [11] years), with the majority of participants identifying as gay (10 participants [83%]), White non-Hispanic (9 participants [75%]), being in their 30s and 40s (9 participants [75%]), holding a bachelor's degree or higher (11 participants [92%]), and having used steroids for a mean (SD) of 7.5 (7.1) years. One participant (8%) self-identified as Black, and 2 (17%) identified as Hispanic. Seven men (58%) met the criteria for muscle dysmorphia on screening. Nine overarching themes were found, including internal and external motivators for initial use, continued use because of effectiveness or fear of losses, intensive personal research, physical and emotional harms experienced from use, using community-based harm reduction techniques, frustration with interactions with the medical community focused on AAS cessation, and concerns around the illegality of AAS. Conclusions and Relevance: In this qualitative study, AAS use among cisgender gay, bisexual, and queer men was found to be associated with multifactorial motivators, including a likely AAS use disorder and muscle dysmorphia. Despite all participants experiencing harms from use, men seeking medical help found insufficient support with practitioners insistent on AAS cessation and, thus, developed their own harm reduction techniques. Further research is needed to assess the utility of practitioner education efforts, the safety and efficacy of community-developed harm reduction methods, and the impact of AAS decriminalization on health care outcomes for this patient population.

Target and Nontarget Screening to Support Capacity Scaling for Substance Use Assessment through a Statewide Wastewater Surveillance Network in New York.

Wastewater-based epidemiology (WBE) has been widely implemented around the world as a complementary tool to conventional surveillance techniques to inform and improve public health responses. Currently, wastewater surveillance programs in the U.S. are evaluating integrated approaches to address public health challenges across multiple domains, including substance abuse. In this work, we demonstrated the potential of online solid-phase extraction coupled with liquid chromatography-high-resolution mass spectrometry to support targeted quantification and nontargeted analysis of psychoactive and lifestyle substances as a step toward understanding the operational feasibility of a statewide wastewater surveillance program for substance use assessment in New York. Target screening confirmed 39 substances in influent samples collected from 10 wastewater treatment plants with varying sewershed characteristics and is anticipated to meet the throughput demands as the statewide program scales up to full capacity. Nontarget screening prioritized additional compounds for identification at three confidence levels, including psychoactive substances, such as opioid analgesics, phenethylamines, and cathinone derivatives. Consumption rates of 12 target substances detected in over 80% of wastewater samples were similar to those reported by previous U.S.-based WBE studies despite the uncertainty associated with back-calculations. For selected substances, the relative bias in consumption estimates was sensitive to variations in monitoring frequency, and factors beyond human excretion (e.g., as indicated by the parent-to-metabolite ratios) might also contribute to their prevalence at the sewershed scale. Overall, our study marks the initial phase of refining analytical workflows and data interpretation in preparation for the incorporation of substance use assessment into the statewide wastewater surveillance program in New York.

School-based health centers as an approach to address health disparities among rural youth: A study protocol for a multilevel research framework.

School-Based Health Centers (SBHCs) are important healthcare providers for children in medically underserved communities. While most existing research on SBHCs has focused on urban environments, this study protocol proposes a mixed-methods, multi-level research framework to evaluate the role of SBHCs in addressing health disparities among underserved children and adolescents in rural communities. The study area includes four high-poverty rural counties in New York State served by Bassett Healthcare Network that permits a comparison of school districts with SBHCs to those without SBHCs, all served by providers within the Bassett Healthcare Network. We employ a human ecological framework that integrates the micro layer of individuals and families, the meso layer of school districts and community institutions, and the macro layer of local and state policies. Our research framework first identifies the socioecological health risk factors, and then proposes innovative strategies to investigate how SBHCs impact them. We propose evaluating the impact of SBHCs on the individual (micro) level of child healthcare utilization using patient records data. At the meso level, we propose to investigate how School-SBHCs partnership may facilitate greater cross-agency collaboration and broader structural and social determinist of health to address health disparities. At the macro level, we propose to assess the impact of SBHCs and cross-agency collaboration on outcomes associated with a culture of community health. This study protocol will enable researchers to assess how SBHCs reduce rural health disparities, and provide evidence for organizational and public policy change.

Strategies to Improve COVID-19 Vaccination in a Pregnant, Marginalized Population: Quality Improvement Project.

Objectives. To improve COVID-19 vaccination rates in pregnant and recently pregnant women from a baseline rate of 30.8% to 60% over 6 months in a marginalized population. Methods. This quality improvement (QI) project was conducted in a federally qualified health center in Western New York between November 2021 and April 2022, using a Lean Six Sigma method. The QI team created a fishbone diagram, process flow map, and driver diagram. Significant barriers were multiple preferred languages, limited health literacy, and a knowledge gap. Increased vaccination rates were the outcome measure. The process measures were attendance at educational events and increased knowledge in community health workers (CHWs) and doulas. Education for CHWs and patients, creating multilingual educational resources, and motivational interviewing sessions for CHWs and patients were the major interventions. We performed data analysis by using weekly run charts and a statistical process control chart. Results. We achieved a sustainable increase in the COVID-19 vaccination rates in women from 30.0% to 48% within 6 months. Conclusions. Patient education in their preferred languages and at health literacy levels and CHWs' engagement played a crucial role in achieving success. (Am J Public Health. 2024;114(S4):S322-S329. https://doi.org/10.2105/AJPH.2024.307665).

Sunscreen use and affordability attitudes based on ethnicity, socioeconomic status, and Fitzpatrick skin type.

IMPORTANCE: One in five Americans will develop skin cancer during their lifetime. While use of sunscreen can help prevent the development cutaneous cancer, regular use remains low nationwide. OBJECTIVE: To assess and better understand health care consumer preferences for sun protection products and perceived product accessibility and availability based on socioeconomic factors, race, and ethnicity. DESIGN: This quantitative survey study was conducted March through June of 2023. SETTING: Participants were recruited from two university family medicine clinical sites in the Buffalo, New York area, one located in a low and one located in a middle-to-upper socioeconomic neighborhood. PARTICIPANTS: Eligible participants were 18 years or older, fluent in English, and residents of the Buffalo, New York area. Surveys and consent forms were distributed by scripted verbal invitation, inviting all clinic patients who met eligibility criteria to participate. Participants were asked to self-report their racial/ethnic group as well as other demographic information including age, gender identification, household income, and household size. Information regarding sun exposure behaviors, and affordability/access was obtained using a combination of multiple choice and yes/no questions. A total of 405 participants were recruited. After excluding 235 incomplete responses, 170 surveys were available for analysis. INTERVENTIONS: None. MAIN OUTCOMES AND MEASURES: Our study aim was to expose health care consumer preferences as well as barriers to access based on socioeconomic factors, race, and ethnicity. RESULTS: Using a 25-question anonymous survey, 405 participants from two university family medicine clinical sites representing low- and middle-to-high-income neighborhoods, participated in the survey. 170 participants completed the survey questions and were included for analysis. Of those, 61.8% identified as female, 37.6% as male, and 0.6% as other. 51.2% of participants identified as lower income, 38.2% as middle-income, and 10.6% as upper income. The results of the survey revealed disparities in sunscreen use and affordability perceptions across demographic groups. Compared with Hispanics, Caucasians exhibited higher rates of sunscreen use (85 Caucasians, 7 Hispanics; p = 0.0073), prioritized SPF (95 Caucasians, 10 Hispanics; p = 0.0178), and were more likely to perceive sunscreen as unaffordable (6 Caucasians, 4 Hispanics; p = 0.0269). Analysis by Fitzpatrick Skin Type demonstrated differences in sunscreen utilization, with Types I-III using more compared to Types IV-VI (70 Types I-III, 51 Types IV-VI; p = 0.0173); additionally, Type I-III individuals were significantly more likely to cite cost as barrier to sunscreen purchase (40 Type I-III, 65 Types IV-VI; p < 0.0001). Moreover, lower-income individuals were significantly more likely to perceive sunscreen as unaffordable (12 lower-income, 1 middle & upper income; p = 0.0025) and cited cost as a barrier to purchase (46 lower-income, 59 middle & upper income; p = 0.0146) compared to middle-to-upper income counterparts. Though statistical significance was not established, respondents from middle & upper income groups reported higher sunscreen usage rates compared with their lower-income peers. CONCLUSIONS AND RELEVANCE: These findings highlight the importance of socioeconomic factors and ethnicity on accessibility to sunscreen and the impact of disparities in utilization among different ethnic and socioeconomic groups.

Disadvantaged groups have greater spatial access to pharmacies in New York state.

BACKGROUND: The accessibility of pharmacies has been associated with overall health and wellbeing. Past studies have suggested that low income and racial minority communities are underserved by pharmacies. However, the literature is inconsistent in finding links between area-level income or racial and ethnic composition and access to pharmacies. Here we aim to assess area-level spatial access to pharmacies across New York State (NYS), hypothesizing that Census Tracts with higher poverty rates and higher percentages of Black and Hispanic residents would have lower spatial access. METHODS: The population weighted mean shortest road network distance (PWMSD) to a pharmacy in 2018 was calculated for each Census Tract in NYS. This statistic was calculated from the shortest road network distance to a pharmacy from the centroid of each Census block within a tract, with the mean across census blocks weighted by the population of the census block. Cross-sectional analyses were conducted to assess links between Tract-level socio demographic characteristics and Tract-level PWMSD to a pharmacy. RESULTS: Overall the mean PWMSD to a pharmacy across Census tracts in NYS was 2.07 Km (SD = 3.35, median 0.85 Km). Shorter PWMSD to a pharmacy were associated with higher Tract-level % poverty, % Black/African American (AA) residents, and % Hispanic/Latino residents and with lower Tract-level % of residents with a college degree. Compared to tracts in the lowest quartile of % Black/AA residents, tracts in the highest quartile had a 70.7% (95% CI 68.3-72.9%) shorter PWMSD to a pharmacy. Similarly, tracts in the highest quartile of % poverty had a 61.3% (95% CI 58.0-64.4%) shorter PWMSD to a pharmacy than tracts in the lowest quartile. CONCLUSION: The analyses show that tracts in NYS with higher racial and ethnic minority populations and higher poverty rates have higher spatial access to pharmacies.

Associations of Serum Perfluoroalkyl Substances and Placental Human Chorionic Gonadotropin in Early Pregnancy, Measured in the UPSIDE Study in Rochester, New York.

BACKGROUND: Per- and polyfluoroalkyl substances (PFAS) are widely detected in pregnant women and associated with adverse outcomes related to impaired placental function. Human chorionic gonadotropin (hCG) is a dimeric glycoprotein hormone that can indicate placental toxicity. OBJECTIVES: Our aim was to quantify the association of serum PFAS with placental hCG, measured as an intact molecule (hCG), as free alpha-(hCGα) and beta-subunits (hCGß), and as a hyperglycosylated form (h-hCG), and evaluate effect measure modification by social determinants and by fetal sex. METHODS: Data were collected from 326 pregnant women enrolled from 2015 to 2019 in the UPSIDE study in Rochester, New York. hCG forms were normalized for gestational age at the time of blood draw in the first trimester [multiple of the median (MoM)]. Seven PFAS were measured in second-trimester maternal serum. Multivariate imputation by chained equations and inverse probability weighting were used to evaluate robustness of linear associations. PFAS mixture effects were estimated by Bayesian kernel machine regression. RESULTS: Perfluorohexane sulfonic acid (PFHxS) [hCGß: 0.29 log MoM units per log PFHxS; 95% confidence interval (CI): 0.08, 0.51] and perfluorodecanoic acid (PFDA) (hCG: -0.09; 95% CI: -0.16, -0.02) were associated with hCG in the single chemical and mixture analyses. The PFAS mixture was negatively associated with hCGα and positively with hCGß. Subgroup analyses revealed that PFAS associations with hCG differed by maternal race/ethnicity and education. Perfluoropentanoic acid (PFPeA) was associated with hCGß only in Black participants (-0.23; 95% CI: -0.37, -0.09) and in participants with high school education or less (-0.14; 95% CI: -0.26, -0.02); conversely, perfluorononanoic acid (PFNA) was negatively associated with hCGα only in White participants (-0.15; 95% CI: -0.27, -0.03) and with hCGß only in participants with a college education or greater (-0.19; 95% CI: -0.36, -0.01). These findings were robust to testing for selection bias, confounding bias, and left truncation bias where PFAS detection frequency was <100%. Two associations were negative in male (and null in female) pregnancies: Perfluoroundecanoic acid (PFUnDA) with hCGα, and PFNA with h-hCG. CONCLUSIONS: Evidence was strongest for the association between PFHxS and PFDA with hCG in all participants and for PFPeA and PFNA within subgroups defined by social determinants and fetal sex. PFAS mixture associations with hCGα and hCGß differed, suggesting subunit-specific types of toxicity and/or regulation. Future studies will evaluate the biological, clinical and public health significance of these findings. https://doi.org/10.1289/EHP12950.

Characterizing the Impact of Cyanobacterial Blooms on the Photoreactivity of Surface Waters from New York Lakes: A Combined Statewide Survey and Laboratory Investigation.

Cyanobacterial blooms introduce autochthonous dissolved organic matter (DOM) into aquatic environments, but their impact on surface water photoreactivity has not been investigated through collaborative field sampling with comparative laboratory assessments. In this work, we quantified the apparent quantum yields (Φapp,RI) of reactive intermediates (RIs), including excited triplet states of dissolved organic matter (3DOM*), singlet oxygen (1O2), and hydroxyl radicals (•OH), for whole water samples collected by citizen volunteers from more than 100 New York lakes. Multiple comparisons tests and orthogonal partial least-squares analysis identified the level of cyanobacterial chlorophyll a as a key factor in explaining the enhanced photoreactivity of whole water samples sourced from bloom-impacted lakes. Laboratory recultivation of bloom samples in bloom-free lake water demonstrated that apparent increases in Φapp,RI during cyanobacterial growth were likely driven by the production of photoreactive moieties through the heterotrophic transformation of freshly produced labile bloom exudates. Cyanobacterial proliferation also altered the energy distribution of 3DOM* and contributed to the accelerated transformation of protriptyline, a model organic micropollutant susceptible to photosensitized reactions, under simulated sunlight conditions. Overall, our study provides insights into the relationship between the photoreactivity of surface waters and the limnological characteristics and trophic state of lakes and highlights the relevance of cyanobacterial abundance in predicting the photoreactivity of bloom-impacted surface waters.

Perspectives on Injectable HIV Pre-Exposure Prophylaxis: A Qualitative Study of Health Care Providers in the United States.

The introduction of injectable HIV pre-exposure prophylaxis (PrEP) has the potential to significantly change the biomedical HIV prevention landscape. However, effective implementation will require health care providers to adopt, prescribe, and administer injectable PrEP within clinical settings. This study qualitatively examined challenges and benefit of injectable PrEP implementation from the perspective of health care providers. From April to August 2022, we conducted 19 in-depth interviews with current PrEP-prescribing health care providers in New York State, including 3 physician assistants, 5 physicians, and 11 nurse practitioners. Interviews were audio-recorded, transcribed verbatim, and thematically analyzed to report semantic-level themes regarding injectable PrEP implementation. More than half of participants (61%) were aware of injectable PrEP; only 21% had experience prescribing it. Qualitative findings highlighted five themes. Three themes represented implementation challenges, including speculative concerns about side effects, appointment compliance, and practical and logistical considerations. The remaining two themes described benefits of injectable PrEP relative to oral PrEP, which included greater convenience and enhanced privacy. Findings from this qualitative study make significant applied contributions to the sparse knowledge on health care provider perspectives of injectable PrEP post-US Food and Drug Administration approval and their concerns and considerations regarding implementation in real-world clinical settings.

Person-centered hospital discharge data: Essential existing infrastructure to enhance public health surveillance of maternal substance use disorders in the midst of a national maternal overdose crisis.

OBJECTIVES: As crises of drug-related maternal harms escalate, US public health surveillance capacity remains suboptimal for drug-related maternal morbidities. Most state hospital discharge databases (HDDs) are encounter-based, and thus limit ascertainment of morbidities to delivery visits and ignoring those occurring during the 21 months spanning pregnancy and postpartum year. This study analyzes data from a state that curates person-centered HDD to compare patterns of substance use disorder (SUD) diagnoses at delivery vs. the full 21 pregnancy/postpartum months, overall and by maternal social position. METHODS: Among people who experienced an in-hospital birth in New York State between 9/1/2016 and 1/1/2018 (N = 330,872), we estimated SUD diagnosis (e.g., opioids, stimulants, benzodiazepines, cannabis) prevalence at delivery; across the full 9 months of pregnancy and 12 postpartum months; and by trimester and postpartum quarter. Risk ratio and risk difference estimated disparities by race/ethnicity, age, rurality, and payor. RESULTS: The 21-month SUD prevalence rate per 100,000 was 2671 (95% CI 2616-2726), with 31% (29.5%-31.5%) missing SUD indication when ascertained at delivery only (1866; 95% CI 1820-1912). Quarterly rates followed a roughly J-shaped trajectory. Structurally marginalized individuals suffered the highest 21-month SUD prevalence (e.g., Black:White risk ratio=1.80 [CI:1.73-1.88]). CONCLUSION: By spanning the full 21 months of pregnancy/postpartum, person-centered HDD reveal than the maternal SUD crisis is far greater than encounter-based delivery estimates had revealed. Generating person-centered HDD will improve efforts to tailor interventions to help people who use drugs survive while pregnant and postpartum, and eliminate inequities.

Unexpected severe malaria in a postoperative patient, New York, USA.

Severe malaria is not routinely considered when evaluating a febrile patient in the postoperative setting. Common bacterial infections, along with adverse drug reactions, are the usual differential concerns. We present a case of severe malaria emerging unexpectedly eight days after routine craniotomy.

Prenatal exposure to air pollutant mixtures and birthweight in the upstate KIDS cohort.

BACKGROUND: Single-pollutant models have linked prenatal PM2.5 exposure to lower birthweight. However, analyzing air pollutant mixtures better captures pollutant interactions and total effects. Unfortunately, strong correlations between pollutants restrict traditional methods. OBJECTIVES: We explored the association between exposure to a mixture of air pollutants during different gestational age windows of pregnancy and birthweight. METHODS: We included 4,635 mother-infant dyads from a New York State birth cohort born 2008-2010. Air pollution data were sourced from the EPA's Community Multiscale Air Quality model and matched to the census tract centroid of each maternal home address. Birthweight and gestational age were extracted from vital records. We applied linear regression to study the association between prenatal exposure to PM2.5, PM10, NOX, SO2, and CO and birthweight during six sensitive windows. We then utilized Bayesian kernel machine regression to examine the non-linear effects and interactions within this five-pollutant mixture. Final models adjusted for maternal socio-demographics, infant characteristics, and seasonality. RESULTS: Single-pollutant linear regression models indicated that most pollutants were associated with a decrement in birthweight, specifically during the two-week window before birth. An interquartile range increase in PM2.5 exposure (IQR: 3.3 µg/m3) from the median during this window correlated with a 34 g decrement in birthweight (95 % CI: -54, -14), followed by SO2 (IQR: 2.0 ppb; ß: -31), PM10 (IQR: 4.6 µg/m3; ß: -29), CO (IQR: 60.8 ppb; ß: -27), and NOX (IQR: 7.9 ppb; ß: -26). Multi-pollutant BKMR models revealed that PM2.5, NOX, and CO exposure were negatively and non-linearly linked with birthweight. As the five-pollutant mixture increased, birthweight decreased until the median level of exposure. DISCUSSION: Prenatal exposure to air pollutants, notably PM2.5, during the final two weeks of pregnancy may negatively impact birthweight. The non-linear relationships between air pollution and birthweight highlight the importance of studying pollutant mixtures and their interactions.

Impact of Shiftwork on Retinal Vasculature Diameters over a 5-Year Period: A Preliminary Investigation Using the BCOPS Study Data.

Our aim was to investigate the impact of shiftwork on changes in central retinal arteriolar equivalent (CRAE), a measure of arteriolar width, and central retinal venular equivalent (CRVE), a measure of venular width, over five years. The participants were 117 officers (72.7% men) examined at the first (2011-2014) and second (2015-2019) follow-up examinations in the Buffalo Cardio-Metabolic Occupational Police Stress study. Shiftwork data were obtained from the City of Buffalo, NY payroll records. Retinal diameters were measured using a standardized protocol. ANCOVA was used to compare mean change in CRAE and CRVE between the two examinations across shiftwork categories. Among men only, those who worked ≥70% hours on day shifts had a larger decrease in mean CRAE (-7.13 µm ± 2.51) compared to those who worked <70% day (-0.08 ± 0.96; p = 0.011). Among patrol officers, those who worked ≥70% day had a larger decrease in CRAE compared to those who worked <70% day (p = 0.015). Also, officers who worked ≥70% day had an increase in mean CRVE (µm) (4.56 ± 2.56) compared to those who worked <70% (-2.32 ± 1.32; p = 0.027). Over the five-year period, we observed adverse changes in arteriolar and venular diameters among officers who worked ≥70% on day shifts. The results should be interpreted with caution due to the small sample sizes.

Stochastic portfolio optimization: A regret-based approach on volatility risk measures: An empirical evidence from The New York stock market.

Portfolio optimization involves finding the ideal combination of securities and shares to reduce risk and increase profit in an investment. To assess the impact of risk in portfolio optimization, we utilize a significant volatility risk measure series. Behavioral finance biases play a critical role in portfolio optimization and the efficient allocation of stocks. Regret, within the realm of behavioral finance, is the feeling of remorse that causes hesitation in making significant decisions and avoiding actions that could lead to poor investment choices. This behavior often leads investors to hold onto losing investments for extended periods, refusing to acknowledge mistakes and accept losses. Ironically, by evading regret, investors may miss out on potential opportunities. in this paper, our purpose is to compare investment scenarios in the decision-making process and calculate the amount of regret obtained in each scenario. To accomplish this, we consider volatility risk metrics and utilize stochastic optimization to identify the most suitable scenario that not only maximizes yield in the investment portfolio and minimizes risk, but also minimizes resulting regret. To convert each multi-objective model into a single objective, we employ the augmented epsilon constraint (AEC) method to establish the Pareto efficiency frontier. As a means of validating the solution of this method, we analyze data spanning 20, 50, and 100 weeks from 150 selected stocks in the New York market based on fundamental analysis. The results show that the selection of the mad risk measure in the time horizon of 100 weeks with a regret rate of 0.104 is the most appropriate research scenario. this article recommended that investors diversify their portfolios by investing in a variety of assets. This can help reduce risk and increase overall returns and improve financial literacy among investors.

Immigrant-blind care: How immigrants experience the "inclusive" health system as they access care.

A growing body of scholarship examines the varying impact of legal status and race on accessing healthcare. However, a notable gap persists in comprehending the supplementary mechanisms that hinder immigrants' pathway to seek care. Drawing on ethnographic observations in various clinical settings and in-depth interviews with 28 healthcare professionals and 12 documented Haitian immigrants in a city in Upstate New York, between 2019 and 2021, I demonstrate the tension between the conceptualization and implementation of inclusive care practices by healthcare providers. I argue that the mere expansion and adoption of inclusive discourse among providers do not inherently ensure equity and the removal of barriers to healthcare access. This work contributes to the social study of medicine and race and ethnic studies by introducing the innovative concept of "immigrant-blind." Through this concept, the research sheds light on how providers' conceptualization of inclusivity proclaims medical encounters to be devoid of stratifications and rationalizes their practices which mask the profound impact of immigration status and immigration on immigrant health. Furthermore, these practices reinforce existing divisions within care settings and medical encounters, where immigration laws and enforcement practices operate and further exacerbate stratifications. By examining providers' uninformed implementation of culturally competent care practices, the findings reveal that providers stigmatize and essentialize immigrants during medical encounters. This highlights the imperative for a more nuanced and informed approach to healthcare provision, where genuine inclusivity is upheld, and barriers to access are dismantled to foster equitable and dignified healthcare experiences for all.

Integrated Hepatitis C-Opioid Use Disorder Care Through Facilitated Telemedicine: A Randomized Trial.

Importance: Facilitated telemedicine may promote hepatitis C virus elimination by mitigating geographic and temporal barriers. Objective: To compare sustained virologic responses for hepatitis C virus among persons with opioid use disorder treated through facilitated telemedicine integrated into opioid treatment programs compared with off-site hepatitis specialist referral. Design, Setting, and Participants: Prospective, cluster randomized clinical trial using a stepped wedge design. Twelve programs throughout New York State included hepatitis C-infected participants (n = 602) enrolled between March 1, 2017, and February 29, 2020. Data were analyzed from December 1, 2022, through September 1, 2023. Intervention: Hepatitis C treatment with direct-acting antivirals through comanagement with a hepatitis specialist either through facilitated telemedicine integrated into opioid treatment programs (n = 290) or standard-of-care off-site referral (n = 312). Main Outcomes and Measures: The primary outcome was hepatitis C virus cure. Twelve programs began with off-site referral, and every 9 months, 4 randomly selected sites transitioned to facilitated telemedicine during 3 steps without participant crossover. Participants completed 2-year follow-up for reinfection assessment. Inclusion criteria required 6-month enrollment in opioid treatment and insurance coverage of hepatitis C medications. Generalized linear mixed-effects models were used to test for the intervention effect, adjusted for time, clustering, and effect modification in individual-based intention-to-treat analysis. Results: Among 602 participants, 369 were male (61.3%); 296 (49.2%) were American Indian or Alaska Native, Asian, Black or African American, multiracial, or other (ie, no race category was selected, with race data collected according to the 5 standard National Institutes of Health categories); and 306 (50.8%) were White. The mean (SD) age of the enrolled participants in the telemedicine group was 47.1 (13.1) years; that of the referral group was 48.9 (12.8) years. In telemedicine, 268 of 290 participants (92.4%) initiated treatment compared with 126 of 312 participants (40.4%) in referral. Intention-to-treat cure percentages were 90.3% (262 of 290) in telemedicine and 39.4% (123 of 312) in referral, with an estimated logarithmic odds ratio of the study group effect of 2.9 (95% CI, 2.0-3.5; P < .001) with no effect modification. Observed cure percentages were 246 of 290 participants (84.8%) in telemedicine vs 106 of 312 participants (34.0%) in referral. Subgroup effects were not significant, including fibrosis stage, urban or rural participant residence location, or mental health (anxiety or depression) comorbid conditions. Illicit drug use decreased significantly (referral: 95% CI, 1.2-4.8; P = .001; telemedicine: 95% CI, 0.3-1.0; P < .001) among cured participants. Minimal reinfections (n = 13) occurred, with hepatitis C virus reinfection incidence of 2.5 per 100 person-years. Participants in both groups rated health care delivery satisfaction as high or very high. Conclusions and Relevance: Opioid treatment program-integrated facilitated telemedicine resulted in significantly higher hepatitis C virus cure rates compared with off-site referral, with high participant satisfaction. Illicit drug use declined significantly among cured participants with minimal reinfections. Trial Registration: ClinicalTrials.gov Identifier: NCT02933970.

Methadone dosing at New York State opioid treatment programs following initial revisions to federal regulations.

INTRODUCTION: In March 2020, a temporary federal regulatory exemption for opioid treatment programs (OTPs) was issued, allowing for a greater number of take-home methadone doses than was previously permitted. In the same month, to address financial sustainability, New York State (NYS) Medicaid also transitioned to a bundle reimbursement methodology for OTPs. We examined methadone dosing schedules in NYS before and after these regulatory and financing changes. METHODS: We conducted a retrospective cohort study using NYS OTP patient data from two sources: the client data system for a baseline period (February 2020) and survey data collected after regulatory and financing changes (May 2020 to August 2021, 64 weekly surveys). We compared methadone dosing schedules over time using chi-square tests and Poisson regression. RESULT: At baseline, data were available for 78% (n=77/99) of OTPs including 90.9% (n=26,225/28,839) of their enrolled patients. During the survey period, 99 OTPs completed 93.1% (n=5901/6336) of weekly surveys, with a mean statewide weekly patient census of 38,904 (SD=1214.5). Between February and May 2020, daily dosing significantly decreased from 55.4% to 16.3% of patients (-39.1 percentage points [95%CI: -39.8 to -38.4]), although it significantly increased subsequently (3.33%/4-weeks [95%CI: 3.28, 3.39]). In addition, weekly-to-monthly dosing significantly increased from 26.9% to 54.5% of patients (27.6 percentage points [95%CI: 26.9, 28.4]), although it significantly decreased subsequently (-1.19%/4-weeks [95%CI: -1.23, -1.15]). DISCUSSION: Despite large initial changes, we found a trend toward gradual return to more restrictive dosing schedules. OTPs need further support in leveraging new opportunities to improve methadone treatment and outcomes.