Potential Sexual Transmission of Antifungal-Resistant Trichophyton indotineae.

We describe a case of tinea genitalis in an immunocompetent woman in Pennsylvania, USA. Infection was caused by Trichophyton indotineae potentially acquired through sexual contact. The fungus was resistant to terbinafine (first-line antifungal) but improved with itraconazole. Clinicians should be aware of T. indotineae as a potential cause of antifungal-resistant genital lesions.

Validation of alopecia coding in US claims data among women of childbearing age.

BACKGROUND: Accurately identifying alopecia in claims data is important to study this rare medication side effect. OBJECTIVES: To develop and validate a claims-based algorithm to identify alopecia in women of childbearing age. METHODS: We linked electronic health records from a large healthcare system in Massachusetts (Mass General Brigham) with Medicaid claims data from 2016 through 2018 to identify all women aged 18 to 50 years with an ICD-10 code for alopecia, including alopecia areata, androgenic alopecia, non-scarring alopecia, or cicatricial alopecia, from a visit to the MGB system. Using eight predefined algorithms to identify alopecia in Medicaid claims data, we randomly selected 300 women for whom we reviewed their charts to validate the alopecia diagnosis. Positive predictive values (PPVs) were computed for the primary algorithm and seven algorithm variations, stratified by race. RESULTS: Out of 300 patients with at least 1 ICD-10 code for alopecia in the Medicaid claims, 286 had chart-confirmed alopecia (PPV = 95.3%). The algorithm requiring two diagnosis codes plus one prescription claim for alopecia treatment identified 55 patients (PPV = 100%). The algorithm requiring 1 diagnosis code for alopecia plus 1 procedure claim for intralesional triamcinolone injection identified 35 patients (PPV = 100%). Across all 8 algorithms tested, the PPV varied between 95.3% and 100%. The PPV for alopecia ranged from 94% to 100% in White and 96%-100% in 48 non-White women. The exact date of alopecia onset was difficult to determine in charts. CONCLUSION: At least one recorded ICD-10 code for alopecia in claims data identified alopecia in women of childbearing age with high accuracy.

Use patterns of systemic immunomodulators in the United States before and after dupilumab approval in adults with atopic dermatitis.

PURPOSE: The patterns of dupilumab use, the first systemic drug approved for the treatment of atopic dermatitis (AD), is not well understood in the context of off-label systemic medications. OBJECTIVE: To describe patterns of prescribing, switching and discontinuing systemic AD drugs, before and after the approval of dupilumab and understand variables associated with dupilumab prescription. METHODS: Using longitudinal claims data, we identified patients with AD who initiated a systemic therapy (dupilumab, cyclosporine, methotrexate, azathioprine, mycophenolate) from March 2015 to February 2021, with a washout period of 1 year. We used Sankey plots to visualize longitudinal patterns of use at 3, 6, and 12 months and logistic regression to determine associates of dupilumab prescription. RESULTS: The number of patients starting systemic treatment increased from 319 before dupilumab approval to 1358 after. Dupilumab use increased from 72% to 84%. In 2019-2020, 36% of patients discontinued systemic treatment within a year compared to 62% in 2015-2016. 92% of patients who started dupilumab in 2020-2021 had received no other systemic treatment before. Patients <60 years and those who used steroid-sparing topical treatments were more likely to receive dupilumab. CONCLUSION: Among new users of a systemic treatment for AD, dupilumab was most used treatment by far.

Longitudinal utilization of systemic immunomodulators before and after dupilumab approval in children with atopic dermatitis.

In our cohort study, we sought to describe the utilization patterns of systemic immunomodulators in children with atopic dermatitis (AD) and how utilization changed after approval of dupilumab, the first systemic drug approved for the treatment of AD. Using US nationwide claims data, we identified children with AD who initiated a systemic therapy (dupilumab, cyclosporine, methotrexate, azathioprine, and mycophenolate mofetil) from March 2015 to February 2021 and used Sankey plots to describe patterns of starting, switching, and discontinuing these drugs. Dupilumab use among children increased from 19.4% before approval in children to 88.3% after approval in 2019-20. Adherence to dupilumab may suggest better tolerance and improved outcomes in children with AD.

Clinic screening for adverse childhood experiences in people living with HIV to Improve Care Delivery.

Adverse childhood experiences (ACEs) are associated with negative health outcomes; however, screening for ACEs is not routinely performed among people living with HIV (PLWH). We conducted a single-center, cross-sectional pilot study to define the (1) prevalence of ACEs in PLWH and (2) acceptability of ACEs screening in routine out-patient clinical care. One hundred participants completed screening: median age of participants was 49 years (interquartile range: 38.5-59.5), 73% male, 66% Non-Hispanic Black/African American, and 47% gay/lesbian. Clinically significant ACEs score, defined as ≥4, was reported in 51%. High ACEs score was more common among participants <50 years old (64.7% vs. 36.7%; p < 0.01), but the prevalence of ACEs ≥4 did not differ by gender, race, ethnicity, or sexual orientation. Among participants with ≥4 ACEs, 44.4% screened negative on both PHQ-9 and PC-PTSD screens. The majority of participants (89%) reported a positive experience with ACEs screening. The prevalence of clinically significant ACEs in this clinic population of PLWH was more than twice that reported in the general population. Routine ACEs screening can improve delivery of trauma-informed care in the HIV primary care setting.

Failure rate prediction of equipment: can Weibull distribution be applied to automated hematology analyzers?

Background Life cycle prediction measures, that provide information on the probability of failure of equipments, have been applied in electronic and mechanical engineering and for predicting the strength of dental implants. However, the same has not been utilized as yet in medical equipment such as hematology analyzers. Methods Failure data of five automated hematology analyzers (3-part differential) was collected over 14 consecutive months and a Weibull probability plot was made. The scale and shape parameters of this plot were used to predict failure probability distribution. This was then combined with various costs involved in remedial maintenance to get a cost analysis. Results The analyzers in their "useful life" period were found to suffer fewer actual and predicted failures compared to those in the "wear out" phase. Cost analysis showed a considerably higher per month cost of remedial maintenance of analyzers compared to the price of a comprehensive maintenance contract. Conclusions Our study demonstrates, for the first time, that Weibull distribution can be applied well to hematology analyzers for modeling of failure data and the resultant information is helpful in the cost analysis of maintenance to allow for prudent and informed decision making with regards to the mode of maintenance of analyzers.

Isolated Sternal Tuberculosis Presenting as a Chest Wall Abscess: A Case Report.

In India, pulmonary tuberculosis accounts for 85% of cases and extrapulmonary tuberculosis accounts for 15% of cases with bone and joint involvement is seen in 1 to 3% of cases. Primary tuberculous osteomyelitis of the sternum is a rare form of extrapulmonary tuberculosis. A 51-year-old male presented with 10 years history of swelling over the anterior chest wall and pain for past 6 months. Fine-needle aspiration cytology (FNAC) revealed a markedly granular necrotic background. Ziehl-Neelsen staining was positive for acid-fast bacilli and a diagnosis of the tubercular abscess was made. Chest X-ray was normal. Contrast-enhanced computed tomography was done, which gave an evidence of the erosion of the anterior surface of the sternum. Tuberculosis of the sternum is a rare form of flat bone tuberculosis. The possibility of sternal tuberculosis should be kept in mind in any patient with a mass, non-healing ulcer, or abscess in the sternal region.

Health Insurance Costs and Employee Compensation: Evidence from the National Compensation Survey.

This paper examines the relationship between rising health insurance costs and employee compensation. I estimate the extent to which total compensation decreases with a rise in health insurance costs and decompose these changes in compensation into adjustments in wages, non-health fringe benefits, and employee contributions to health insurance premiums. I examine this relationship using the National Compensation Survey, a panel dataset on compensation and health insurance for a sample of establishments across the USA. I find that total hourly compensation reduces by $0.52 for each dollar increase in health insurance costs. This reduction in total compensation is primarily in the form of higher employee premium contributions, and there is no evidence of a change in wages and non-health fringe benefits. These findings show that workers are absorbing at least part of the increase in health insurance costs through lower compensation and highlight the importance of examining total compensation, and not just wages, when examining the relationship between health insurance costs and employee compensation. Copyright © 2016 John Wiley & Sons, Ltd.

The effect of a peer's teen pregnancy on sexual behavior.

We examine whether a friend or older sibling's teen pregnancy impacts one's own sexual behavior. Employing an event study design and rich retrospective data on sexual activity, we find that those who observe a peer's teen pregnancy change sexual behavior after the pregnancy ends to put themselves at lower risk of their own teen pregnancy; specifically, they are less likely to have unprotected sex and have fewer sexual partners in the year following the end of the teen pregnancy. We find that females are more likely to change their sexual behavior compared to males, and the effects are primarily driven by peer live births, as opposed to other pregnancies. Ultimately, we find a slight decline in the likelihood of one's own teen pregnancy, though estimates are noisy. Our work suggests that education campaigns that provide a realistic portrayal of teen parenthood may be an effective tool for impacting teen behavior.

"I Wasn't Expecting That Question": Responses to Requests for Abortion Referral at College Student Health Centers.

BACKGROUND: Women 18-24 years of age have the highest proportion of unintended pregnancies of any age group, and thus represent a significant population in need of abortion services. Prior research indicated that only half of college student health centers provide appropriate abortion referrals. Our objective was to better understand the referral experience and barriers to abortion referral at college student health centers. PROCEDURES: We conducted a "secret caller" study at all 4-year colleges in Pennsylvania between June 2017 and April 2018, using a structured script requesting abortion referral. Calls were transcribed, coded using an iteratively developed codebook, and analyzed for themes related to barriers and facilitators of abortion referral. MAIN FINDINGS: A total of 202 completed transcripts were reviewed. Themes that emerged were knowledge, experience, and comfort with abortion referral; support, empathy, and reassurance; coercion; misleading language; questioning the caller's autonomy; and institutional policy against referral. Most staff lacked knowledge and comfort with abortion referral. Although some staff members made supportive statements toward the caller, others used coercive language to try to dissuade the caller from an abortion. Many staff cited religious institutional policies against abortion referral and expressed a range of feelings about such policies. CONCLUSIONS: Abortion referrals at student health centers lack consistency. Staff members frequently did not have the knowledge needed to provide appropriate abortion referrals, used coercive language in responding to requests for referrals, and perpetuated abortion stigma. Some health staff used coercive or evasive language that further stigmatized the caller's request for an abortion referral. College health centers should improve training and resources around abortion referral to ensure they are delivering appropriate, high-quality care.

Identifying Dementia Severity Among People Living With Dementia Using Administrative Claims Data.

OBJECTIVES: There is currently no reliable tool for classifying dementia severity level based on administrative claims data. We aimed to develop a claims-based model to identify patients with severe dementia among a cohort of patients with dementia. DESIGN: Retrospective cohort study. SETTING AND PARTICIPANTS: We identified people living with dementia (PLWD) in US Medicare claims data linked with the Minimum Data Set (MDS) and Outcome and Assessment Information Set (OASIS). METHODS: Severe dementia was defined based on cognitive and functional status data available in the MDS and OASIS. The dataset was randomly divided into training (70%) and validation (30%) sets, and a logistic regression model was developed to predict severe dementia using baseline (assessed in the prior year) features selected by generalized linear mixed models (GLMMs) with least absolute shrinkage and selection operator (LASSO) regression. We assessed model performance by area under the receiver operating characteristic curve (AUROC), area under precision-recall curve (AUPRC), and precision and recall at various cutoff points, including Youden Index. We compared the model performance with and without using Synthetic Minority Oversampling Technique (SMOTE) to reduce the imbalance of the dataset. RESULTS: Our study cohort included 254,410 PLWD with 17,907 (7.0%) classified as having severe dementia. The AUROC of our primary model, without SMOTE, was 0.81 in the training and 0.80 in the validation set. In the validation set at the optimized Youden Index, the model had a sensitivity of 0.77 and specificity of 0.70. Using a SMOTE-balanced validation set, the model had an AUROC of 0.83, AUPRC of 0.80, sensitivity of 0.79, specificity of 0.74, positive predictive value of 0.75, and negative predictive value of 0.78 when at the optimized Youden Index. CONCLUSIONS AND IMPLICATIONS: Our claims-based algorithm to identify patients living with severe dementia can be useful for claims-based pharmacoepidemiologic and health services research.

Patient Characteristics Associated With Using Transcatheter Left Atrial Appendage Occlusion Versus Oral Anticoagulants for Atrial Fibrillation.

BACKGROUND: Transcatheter left atrial appendage occlusion (LAAO) is an alternative to oral anticoagulants (OACs) for stroke prevention in patients with atrial fibrillation, but the predictors of LAAO use in routine care are unclear. We aimed to assess the utilization trends of LAAO and compare the change in characteristics of LAAO users versus OACs since its marketing. METHODS: Using the US Medicare claims database (March 15, 2015, to December 31, 2020), we identified patients with atrial fibrillation, ≥65 years, and CHA2DS2-VASc score ≥2 (men) or ≥3 (women), with either first implantation of an LAAO device or initiation of OACs, including apixaban, dabigatran, rivaroxaban, edoxaban, or warfarin. Patient characteristics, measured 365 days before the first LAAO or OAC use date, were compared using logistic regression. RESULTS: There were 30 058 LAAO recipients (mean age, 77.74 years; female, 42.1%) and 792 600 OAC initiators (mean age, 78.48; female, 53.3%). In 2020, patients had higher odds of initiating LAAO use than in 2015 (0.52 versus 9.32%; adjusted odds ratio [aOR], 13.64 [95% CI, 12.56-14.81]). Old age (ie, >85 versus 65-75 years; aOR, 0.84 [95% CI, 0.80-0.88]), female sex (aOR, 0.74 [95% CI, 0.71-0.76]), Black race (aOR, 0.63 [95% CI, 0.58-0.68]) versus White race, and Medicaid eligibility (aOR, 0.61 [95% CI, 0.58-0.64]) were associated with lower odds of receiving LAAO. Among clinical characteristics, frailty, cancer, fractures, and venous thromboembolism were associated with lower odds of LAAO use, while history of intracranial and extracranial bleeding, coagulopathy, and falls were associated with higher odds of receiving LAAO. CONCLUSIONS: Among patients with atrial fibrillation receiving stroke-preventive therapy, LAAO use increased rapidly from 2015 to 2020 and was positively associated with the risk factors for OAC complications but negatively associated with old age, advanced frailty, and cancer. Black race and female sex were associated with a lower likelihood of receiving LAAO.

Integration of sexually transmitted infection and HIV pre-exposure prophylaxis services in sub-Saharan Africa: a scoping review.

Background: Persons living in sub-Saharan Africa (SSA) face disproportionate risk from overlapping epidemics of HIV and bacterial sexually transmitted infections (STIs). Pre-exposure prophylaxis (PrEP) for prevention is gradually being scaled up globally including in several settings in SSA, which represents a key opportunity to integrate STI services with HIV pre-exposure prophylaxis (PrEP). However, there is limited literature on how to successfully integrate these services, particularly in the SSA context. Prior studies and reviews on STI and PrEP services have largely focused on high income countries. Methods: We conducted a scoping review of prior studies of integration of STI and PrEP services in SSA. We searched PubMed, EMBASE, Cochrane, and CINAHL, in addition to grey literature to identify studies that were published between January 2012 and December 2022, and which provided STI and PrEP services in SSA, with or without outcomes reported. Citations and abstracts were reviewed by two reviewers for inclusion. Full texts were then retrieved and reviewed in full by two reviewers. Results: Our search strategy yielded 1951 records, of which 250 were retrieved in full. Our final review included 61 reports of 45 studies. Most studies were conducted in Southern (49.2%) and Eastern (24.6%) Africa. Service settings included public health clinics (26.2%), study clinics (23.0%), sexual and reproductive care settings (23.0%), maternal and child health settings (8.2%), community based services (11.5%), and mobile clinics (3.3%). A minority (11.4%) of the studies described only syndromic STI management while most (88.6%) included some form of etiological laboratory STI diagnosis. STI testing frequency ranged from baseline testing only to monthly screening. Types of STI tested for was also variable. Few studies reported outcomes related to implementation of STI services. There were high rates of curable STIs detected by laboratory testing (baseline genitourinary STI rates ranged from 5.6-30.8% for CT, 0.0-11.2% for GC, and 0.4-8.0% for TV). Discussion: Existing studies have implemented a varied range of STI services along with PrEP. This range reflects the lack of specific guidance regarding STI services within PrEP programs. However, there was limited evidence regarding implementation strategies for integration of STI and PrEP services in real world settings.

A Quasi-Experimental Assessment of the Effect of the 2009 WIC Food Package Revisions on Breastfeeding Outcomes.

Breastfeeding rates among infants participating in the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) are consistently lower than those of WIC nonparticipants. The 2009 WIC food package revisions were intended to incentivize breastfeeding among the WIC population. To examine the effectiveness of this policy change, we estimated an intent-to-treat regression-adjusted difference-in-difference model with propensity score weighting, an approach that allowed us to control for both secular trends in breastfeeding and selection bias. We used novel data from the Feeding Infants and Toddlers Survey from 2008 and 2016. We defined our treatment group as infants eligible for WIC based on household income and our control group as infants in households with incomes just above the WIC eligibility threshold. The breastfeeding outcomes we analyzed were whether the infants were ever breastfed, breastfed through 6 months, and breastfed exclusively through 6 months. We observed significant increases in infants that were ever breastfed in both the treatment group (10 percentage points; p < 0.01) and the control group (15 percentage points; p < 0.05); however, we did not find evidence that the difference between the two groups was statistically significant, suggesting that the 2009 revisions may not have had an effect on any of these breastfeeding outcomes.

Comparison of EHR Data-Completeness in Patients with Different Types of Medical Insurance Coverage in the United States.

Prior studies have demonstrated that misclassification of study variables due to electronic health record (EHR)-discontinuity can be mitigated by restricting EHR-based analyses to subjects with high predicted EHR-continuity based on a simple algorithm. In this study, we compared EHR continuity in populations covered by Medicare, Medicaid, or commercial insurance. Using claims-linked EHRs from a multicenter network in Massachusetts, including Medicare (MA EHR-Medicare cohort) and Medicaid (MA EHR-Medicaid cohort) claims data; and TriNetX (TriNetX cohort) claims-linked EHR data from 11 US-based healthcare organizations, we assessed (1) EHR-continuity quantified by proportion of encounters captured by EHR (capture proportion (CP)); (2) area under receiver operating curve (AUROC) of previously validated model to identify patients with high EHR-continuity (CP ≥ 0.6); (3) misclassification of 40 patient characteristics, quantified by average standardized absolute mean difference (ASAMD). Study participants were ≥ 65 years (Medicare) or ≥ 18 years (Medicaid, TriNetX) with ≥ 365 days of continuous insurance enrollment overlapping with an EHR encounter. We found that the mean CP was 0.30, 0.18, and 0.19 and AUROC of the prediction model to identify patients with high EHR-continuity was 0.92, 0.89, and 0.77 in the MA EHR-Medicare, MA EHR-Medicaid, and TriNetX cohorts, respectively. Restricting to patients with predicted EHR-continuity percentile of top 20%, 50%, and 50% in MA EHR-Medicare, MA EHR-Medicaid, and TriNetX cohorts resulted in acceptable levels of misclassification (ASAMD < 0.1). Using a prediction model to identify cohorts with high EHR-continuity can improve validity, but cutoffs to achieve this goal vary by population.

The Impact of the Affordable Care Act Medicaid Expansions on the Sources of Health Insurance Coverage of Undergraduate Students in the United States.

This article examines how the Affordable Care Act Medicaid expansions affected the sources of health insurance coverage of undergraduate students in the United States. We show that the Affordable Care Act expansions increased the Medicaid coverage of undergraduate students by 5 to 7 percentage points more in expansion states than in nonexpansion states, resulting in 17% of undergraduate students in expansion states being covered by Medicaid postexpansion (up from 9% prior to the expansion). In contrast, the growth in employer and private direct coverage was 1 to 2 percentage points lower postexpansion for students in expansion states compared with nonexpansion states. Our findings demonstrate that policy efforts to expand Medicaid eligibility have been successful in increasing the Medicaid coverage rates for undergraduate students in the United States, but there is evidence of some crowd out after the expansions-that is, some students substituted their private and employer-sponsored coverage for Medicaid.

The role of paid family leave in labor supply responses to a spouse's disability or health shock.

Disability onset and major health shocks can affect the labor supply of those experiencing the event and their family members, who face a tradeoff between time spent earning income and providing care. This decision could be affected by the availability of paid family leave. We examine the role of paid leave mandates in caregiving and labor supply decisions after a spouse's disability or health shock. Using data from the Survey of Income and Program Participation, we show that paid leave mandates reduce the likelihood that potential caregivers report decreasing their paid work hours to provide caregiving after a spouse's health shock. However, if caregivers are unlikely to have access to job protection, paid leave mandates also increase the likelihood of leaving the labor market to provide caregiving and working fewer weeks. There is limited evidence of an effect of paid leave on other employment outcomes. Our findings demonstrate that paid leave has some influence on household labor supply decisions after spousal health shocks, but its role should be considered together with the availability of job protection.

An effective solution to numerical and multi-disciplinary design optimization problems using chaotic slime mold algorithm.

Slime mold algorithm (SMA) is a recently developed meta-heuristic algorithm that mimics the ability of a single-cell organism (slime mold) for finding the shortest paths between food centers to search or explore a better solution. It is noticed that entrapment in local minima is the most common problem of these meta-heuristic algorithms. Thus, to further enhance the exploitation phase of SMA, this paper introduces a novel chaotic algorithm in which sinusoidal chaotic function has been combined with the basic SMA. The resultant chaotic slime mold algorithm (CSMA) is applied to 23 extensively used standard test functions and 10 multidisciplinary design problems. To check the validity of the proposed algorithm, results of CSMA has been compared with other recently developed and well-known classical optimizers such as PSO, DE, SSA, MVO, GWO, DE, MFO, SCA, CS, TSA, PSO-DE, GA, HS, Ray and Sain, MBA, ACO, and MMA. Statistical results suggest that chaotic strategy facilitates SMA to provide better performance in terms of solution accuracy. The simulation result shows that the developed chaotic algorithm outperforms on almost all benchmark functions and multidisciplinary engineering design problems with superior convergence.