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Background: Track PCC includes five geographic surveillance sites to conduct standardized population-based surveillance to estimate and track Post-COVID Conditions (PCC) by age, sex, race/ethnicity, geographic area, severity of initial infection, and risk factors among persons with evidence of SARS-CoV-2 infection (based on the Council of State and Territorial Epidemiologist [CSTE] case definitions for confirmed cases or laboratory-confirmed evidence of infection)., Methods: The study will estimate the incidence, prevalence, including temporal trends, and duration and severity of PCC symptoms, among children, adolescents, and adults. PCCs include a broad range of symptoms and conditions that continue or develop after acute SARS-CoV-2 infection or COVID-19 illness. Surveillance includes both passive and active components for diverse populations in Arizona, Indiana, and Utah as well as the Bronx Borough, NY, and part of Philadelphia County, PA. Passive surveillance will utilize electronic health records and health information exchanges within each site catchment area to longitudinally follow persons with COVID-19 to estimate PCC occurring at least 30 days after acute COVID-19 illness. Active surveillance will utilize self-report of PCCs from detailed surveys of persons ages 7 years and older with evidence of SARS-CoV-2 infection in the past 3 months. Respondents will complete follow-up surveys at 6-, 12- and 18-months post-infection., Discussion: These data can help identify which groups are most affected by PCC, and what health differences among demographic groups exist, as well as indicate potential barriers to care. These additional levels of granularity can inform public health action and help direct needed clinical care for patients., (© 2024. The Author(s).)

Purpose: Neither the United States nor the European oncology guidelines include details for appropriate management of hyperglycemia in cancer patients. The aim was to identify fasting and random blood glucose thresholds, and hemoglobin A1c (HbA1c) targets used by oncologists in clinical practice when managing hyperglycemia in patients with cancer undergoing chemotherapy., Methods: This national, cross sectional study utilized a questionnaire to collect oncologists' perceptions about optimal blood glucose thresholds and HbA1c targets in patients with cancer undergoing chemotherapy. Descriptive statistics were calculated to summarize glucose thresholds, HbA1c targets, and sample characteristics. Responses to an open-ended question about oncologists' approach to hyperglycemia management were analyzed via thematic analysis using an inductive approach., Results: Respondents (n = 229) were on average 52.1 years of age, 67.7% men, and 91.3% White. For patients without diabetes but experiencing hyperglycemia, oncologists targeted lower and upper fasting blood glucose levels between 75-121 mg/dL and 105-135 mg/dL, respectively. For patients with diabetes, the targets for lower and upper fasting blood glucose levels ranged between 100-130 mg/dL and 128-150 mg/dL, respectively. Fasting blood glucose (95.6%) and HbA1c (78.6%) were the most commonly used clinical indicators to consider chemotherapy dose reduction, delay, or discontinuation due to hyperglycemia in patients receiving chemotherapy with curative intent. Among those receiving palliative intent chemotherapy, the preferred clinical parameters were random blood glucose (90.0%), patient-reported blood glucose readings (70.7%), continuous glucose monitoring readings (65.1%), and patient-reported symptoms of hyperglycemia (65.1%). Three main themes emerged about oncologists' approach to hyperglycemia management: 1) identification of high-risk patients; 2) need for early identification, screening, and diagnosis of hyperglycemia; and 3) multiple hyperglycemia management strategies., Conclusion: Oncologists reported a wide variation of target blood glucose ranges considered appropriate in patients undergoing chemotherapy. Lack of clear guidance for hyperglycemia management during chemotherapy in the United States may be contributing to a lack of consistency in clinical practice., (© 2024. The Author(s).)

Little is known about adherence to COVID-19 masking mandates on college campuses or the relationship between weather-related variables and masking. This study aimed to (1) observe students' adherence to on-campus mask mandates and (2) estimate the effect of weather on mask-wearing. Temple University partnered in the Centers for Disease Control and Prevention's observational Mask Adherence Surveillance at Colleges and Universities Project. February-April 2021, weekly observations were completed at 12 on-campus locations to capture whether individuals wore masks, wore them correctly, and the type of mask worn. Fashion and university masks also were recorded. Weekly average temperature, humidity, and precipitation were calculated. Descriptive statistics were calculated for masking adherence overall, over time, and by location. Statistical significance was assessed between correct mask use and mask type and the linear relationships between weekly weather metrics and mask use. Overall, 3508 individuals were observed with 89.6% wearing masks. Of those, 89.4% correctly wore masks. Cloth (58.7%) and surgical masks (35.3%) were most commonly observed and 21.3% wore fashion masks. N95/KN95 masks were correctly worn in 98.3% of observations and surgical and cloth masks were correctly worn ~ 90% of the time. Weekly adherence varied over time and by campus location. Significant inverse linear relationships existed between weekly temperature (r = - 0.72; p < 0.05) and humidity (r = - 0.63; p ≤ 0.05) and masking. Mask adherence and correct use was high. Temperature and humidity inversely affected adherence. Adherence varied by on-campus location, which suggests the locations (e.g., academic buildings, recreational center) and possibly the characteristics of individuals who frequent certain areas impacted adherence., (© 2023. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Background: Missed fractures are the most common diagnostic errors in musculoskeletal imaging and can result in treatment delays and preventable morbidity. Deep learning, a subfield of artificial intelligence, can be used to accurately detect fractures by training algorithms to emulate the judgments of expert clinicians. Deep learning systems that detect fractures are often limited to specific anatomic regions and require regulatory approval to be used in practice. Once these hurdles are overcome, deep learning systems have the potential to improve clinician diagnostic accuracy and patient care., Questions/purposes: This study aimed to evaluate whether a Food and Drug Administration-cleared deep learning system that identifies fractures in adult musculoskeletal radiographs would improve diagnostic accuracy for fracture detection across different types of clinicians. Specifically, this study asked: (1) What are the trends in musculoskeletal radiograph interpretation by different clinician types in the publicly available Medicare claims data? (2) Does the deep learning system improve clinician accuracy in diagnosing fractures on radiographs and, if so, is there a greater benefit for clinicians with limited training in musculoskeletal imaging?, Methods: We used the publicly available Medicare Part B Physician/Supplier Procedure Summary data provided by the Centers for Medicare & Medicaid Services to determine the trends in musculoskeletal radiograph interpretation by clinician type. In addition, we conducted a multiple-reader, multiple-case study to assess whether clinician accuracy in diagnosing fractures on radiographs was superior when aided by the deep learning system compared with when unaided. Twenty-four clinicians (radiologists, orthopaedic surgeons, physician assistants, primary care physicians, and emergency medicine physicians) with a median (range) of 16 years (2 to 37) of experience postresidency each assessed 175 unique musculoskeletal radiographic cases under aided and unaided conditions (4200 total case-physician pairs per condition). These cases were comprised of radiographs from 12 different anatomic regions (ankle, clavicle, elbow, femur, forearm, hip, humerus, knee, pelvis, shoulder, tibia and fibula, and wrist) and were randomly selected from 12 hospitals and healthcare centers. The gold standard for fracture diagnosis was the majority opinion of three US board-certified orthopaedic surgeons or radiologists who independently interpreted the case. The clinicians' diagnostic accuracy was determined by the area under the curve (AUC) of the receiver operating characteristic (ROC) curve, sensitivity, and specificity. Secondary analyses evaluated the fracture miss rate (1-sensitivity) by clinicians with and without extensive training in musculoskeletal imaging., Results: Medicare claims data revealed that physician assistants showed the greatest increase in interpretation of musculoskeletal radiographs within the analyzed time period (2012 to 2018), although clinicians with extensive training in imaging (radiologists and orthopaedic surgeons) still interpreted the majority of the musculoskeletal radiographs. Clinicians aided by the deep learning system had higher accuracy diagnosing fractures in radiographs compared with when unaided (unaided AUC: 0.90 [95% CI 0.89 to 0.92]; aided AUC: 0.94 [95% CI 0.93 to 0.95]; difference in least square mean per the Dorfman, Berbaum, Metz model AUC: 0.04 [95% CI 0.01 to 0.07]; p < 0.01). Clinician sensitivity increased when aided compared with when unaided (aided: 90% [95% CI 88% to 92%]; unaided: 82% [95% CI 79% to 84%]), and specificity increased when aided compared with when unaided (aided: 92% [95% CI 91% to 93%]; unaided: 89% [95% CI 88% to 90%]). Clinicians with limited training in musculoskeletal imaging missed a higher percentage of fractures when unaided compared with radiologists (miss rate for clinicians with limited imaging training: 20% [95% CI 17% to 24%]; miss rate for radiologists: 14% [95% CI 9% to 19%]). However, when assisted by the deep learning system, clinicians with limited training in musculoskeletal imaging reduced their fracture miss rate, resulting in a similar miss rate to radiologists (miss rate for clinicians with limited imaging training: 9% [95% CI 7% to 12%]; miss rate for radiologists: 10% [95% CI 6% to 15%])., Conclusion: Clinicians were more accurate at diagnosing fractures when aided by the deep learning system, particularly those clinicians with limited training in musculoskeletal image interpretation. Reducing the number of missed fractures may allow for improved patient care and increased patient mobility., Level of Evidence: Level III, diagnostic study., Competing Interests: All ICMJE Conflict of Interest Forms for authors and Clinical Orthopaedics and Related Research® editors and board members are on file with the publication and can be viewed on request., (Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the Association of Bone and Joint Surgeons.)

Background: Cognitive decline can be an early indicator for dementia. Using quantitative methods and national representative survey data, we can monitor the potential burden of disease at the population-level., Methods: BRFSS is an annual, nationally representative questionnaire in the United States. The optional cognitive decline module is a six-item self-reported scale pertaining to challenges in daily life due to memory loss and growing confusion over the past twelve months. Respondents are 45+, pooled from 2015-2020. Latent class analysis was used to determine unobserved subgroups of subjective cognitive decline (SCD) based on item response patterns. Multinomial logistic regression predicted latent class membership from socio-demographic covariates., Results: A total of 54,771 reported experiencing SCD. The optimal number of latent classes was three, labeled as Mild, Moderate, and Severe SCD. Thirty-five percent of the sample belonged to the Severe group. Members of this subgroup were significantly less likely to be older (65+ vs. 45-54 OR = 0.29, 95% CI: 0.23-0.35) and more likely to be non-Hispanic Black (OR = 1.80, 95% CI: 1.53-2.11), have not graduated high school (OR = 1.60, 95% CI: 1.34-1.91), or earned <$15K a year (OR = 3.03, 95% CI: 2.43-3.77)., Conclusions: This study determined three latent subgroups indicating severity of SCD and identified socio-demographic predictors. Using a single categorical indicator of SCD severity instead of six separate items improves the versatility of population-level surveillance., (© 2022. The Author(s).)

Aims: To quantify the relationship between alcohol and violence with increasing age., Methods: Data were from The National Longitudinal Study of Adolescent to Adult Health (ADD Health) of 20,386 people representative of the US population. Mean age at the first wave of interviews was 16.2 years, with subsequent interviews mean of 1, 6.3 and 12.9 years later. We used random-effects models and predictive marginal effects of the association between varying quantities of alcohol consumption and violence while controlling for possible confounders., Results: Violence was reported by 19.1% of participants at wave I but just 2.1% at wave IV. The random-effects model showed that consuming 1-4 drinks on each occasion was associated with a modest increase in risk of violence in both males (odds ratio (OR) 1.36, 95% CI 1.13-1.63) and females (OR 1.33, 95% CI 1.03-1.72). For consumption of five or more drinks on each occasion, the risk remained similar for females (OR 1.40 (0.99-1.97)) but increased considerably for males (OR 2.41 (1.96-2.95)). Predictive marginal effects models confirmed that violence rates decreased with age., Conclusions: Alcohol is most strongly linked to violence among adolescents, so programmes for primary prevention of alcohol-related violence are best targeted towards this age group, particularly males who engage in heavy episodic drinking., (© The Author(s) 2020. Medical Council on Alcohol and Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Introduction: Patient-physician communication about colorectal cancer screening can affect screening use, but discussions often lack information that patients need for informed decision making and seldom address personal preferences or barriers. To address this gap, a series of patient focus groups was conducted to guide the development of an online, interactive decision support program. This article presents findings on patient information needs and barriers to colorectal cancer screening after receiving a screening recommendation from a physician, and their perspectives on using electronic patient portals as platforms for health-related decision support., Methods: Primary care patients with recent colonoscopy or stool testing orders were identified via the centralized data repository of a large Midwestern health system. Seven gender-stratified focus groups (N=45 participants) were convened between April and July 2016. Sessions were audio recorded, transcribed, coded, and analyzed for commonly expressed themes beginning in August 2016., Results: Findings reveal a consistent need for simple and clear information on colorectal cancer screening. Participants desired step-by-step explanations of the colonoscopy procedure and information about bowel preparation options/alternatives. The desired level of additional information varied: some patients wanted to know about and act on test options, whereas others preferred following their physician-recommended testing path. Fears and concerns were prevalent, particularly about colonoscopy, and patients reported challenges getting these concerns and their informational needs addressed. Finally, they expressed consistent support for using the patient portal to gather additional information from their physician., Conclusions: Patient portals may offer an opportunity to build sustainable programs for decision support and assistance that are integrated with clinic workflows and processes., (Published by Elsevier Inc.)

Background: Activities such as swimming, paddling, motor-boating, and fishing are relatively common on US surface waters. Water recreators have a higher rate of acute gastrointestinal illness, along with other illnesses including respiratory, ear, eye, and skin symptoms, compared to non-water recreators. The quantity and costs of such illnesses are unknown on a national scale., Methods: Recreational waterborne illness incidence and severity were estimated using data from prospective cohort studies of water recreation, reports of recreational waterborne disease outbreaks, and national water recreation statistics. Costs associated with medication use, healthcare provider visits, emergency department (ED) visits, hospitalizations, lost productivity, long-term sequelae, and mortality were aggregated., Results: An estimated 4 billion surface water recreation events occur annually, resulting in an estimated 90 million illnesses nationwide and costs of $2.2- $3.7 billion annually (central 90% of values). Illnesses of moderate severity (visit to a health care provider or ED) were responsible for over 65% of the economic burden (central 90% of values: $1.4- $2.4 billion); severe illnesses (result in hospitalization or death) were responsible for approximately 8% of the total economic burden (central 90% of values: $108- $614 million)., Conclusion: Recreational waterborne illnesses are associated with a substantial economic burden. These findings may be useful in cost-benefit analysis for water quality improvement and other risk reduction initiatives.

Objective: To evaluate lung cancer and respiratory disease mortality associations with cumulative inhalable carbon black exposure among 6634 US carbon black workers., Methods: This analysis was performed using standardized mortality ratio (SMRs) and Cox regression analyses., Results: Lung cancer mortality was decreased overall (SMR = 0.77; 95% confidence interval [CI], 0.67 to 0.89) but less so among hourly male workers (SMR = 0.87; 95% CI, 0.71 to 1.05). No exposure-response association was observed with time-dependent cumulative inhalable carbon black: hazard ratio [HR] = 1.0 (95% CI, 0.6 to 1.6) for 20 to less than 50 mg/m·yr); HR = 1.3 (95% CI, 0.8 to 2.1) for 50 to less than 100 mg/m·yr; and HR = 1.4 (95% CI, 0.9 to 2.1) for 100 mg/m·yr or more compared with referent (<20 mg/m·yr). No consistent associations were observed between cumulative inhalable carbon black exposure and respiratory disease mortality., Conclusion: Quantitative carbon black exposure estimates were not related to lung cancer or nonmalignant respiratory disease mortality.

Context: Environmental Public Health Tracking (EPHT) tracks the occurrence and magnitude of environmental hazards and associated adverse health effects over time. The EPHT program has formally expanded its scope to include finished drinking water quality., Objectives: Our objective was to describe the features, strengths, and limitations of using finished drinking water quality data from community water systems (CWSs) for EPHT applications, focusing on atrazine and nitrogen compounds in 8 Midwestern states., Methods: Water quality data were acquired after meeting with state partners and reviewed and merged for analysis., Results: Data and the coding of variables, particularly with respect to censored results (nondetects), were not standardized between states. Monitoring frequency varied between CWSs and between atrazine and nitrates, but this was in line with regulatory requirements. Cumulative distributions of all contaminants were not the same in all states (Peto-Prentice test P < .001). Atrazine results were highly censored in all states (76.0%-99.3%); higher concentrations were associated with increased measurement frequency and surface water as the CWS source water type. Nitrate results showed substantial state-to-state variability in censoring (20.5%-100%) and in associations between concentrations and the CWS source water type., Conclusions: Statistical analyses of these data are challenging due to high rates of censoring and uncertainty about the appropriateness of parametric assumptions for time-series data. Although monitoring frequency was consistent with regulations, the magnitude of time gaps coupled with uncertainty about CWS service areas may limit linkage with health outcome data.

Objectives: To identify the prevalence of portfolio use in US pharmacy programs, common components of portfolios, and advantages of and limitations to using portfolios., Methods: A cross-sectional electronic survey instrument was sent to experiential coordinators at US colleges and schools of pharmacy to collect data on portfolio content, methods, training and resource requirements, and benefits and challenges of portfolio use., Results: Most colleges and schools of pharmacy (61.8%) use portfolios in experiential courses and the majority (67.1%) formally assess them, but there is wide variation regarding content and assessment. The majority of respondents used student portfolios as a formative evaluation primarily in the experiential curriculum., Conclusions: Although most colleges and schools of pharmacy have a portfolio system in place, few are using them to fulfill accreditation requirements. Colleges and schools need to carefully examine the intended purpose of their portfolio system and follow-through with implementation and maintenance of a system that meets their goals.

Objectives: To survey volunteer pharmacy preceptors regarding experiential education and determine whether differences in responses relate to such factors as geographic region, practice setting, and population density., Methods: An online survey was sent to 4396 volunteer experiential preceptors. The survey consisted of 41 questions asking the preceptor to comment on the experiential education environment. Experiential education administrators from 9 schools of pharmacy administered the survey to their volunteer preceptors in all regions (Northeast, Midwest, South, and West) of the United States, in various pharmacy practice settings, and areas of differing population densities., Results: A total of 1163 (26.5%) preceptors responded. Regionally, preceptors in the West disagreed more than those in the Midwest and the South that they had enough time to spend with students to provide a quality experience and also required compensation less often than their counterparts in the Northeast and South. Concerning practice settings, hospital preceptors accepted students from more schools, had greater increases in requests, turned away more students, and spent less time with the students compared to preceptors in other settings. Population density differences reflected that preceptors at urban sites took and turned away more students than those at rural sites. Preceptors from rural areas spent more time with students and felt they were spending enough time with their students to provide quality experiences when compared to other preceptors., Conclusions: The results of this national volunteer preceptor survey may assist pharmacy school leaders in understanding how location, practice type, and population density affect experiential education, preceptor time-quality issues, and site compensation so they can take necessary actions to improve quality of student practice experiences.

This study explored risk perceptions after breast cancer risk appraisal. The study involved a randomized trial of Women's Health clinic patients (>or= 40 years old). Primary outcome was perceived breast cancer risk at baseline, 1 month, 6 months, and 18 months. Perceived breast cancer risks were higher than actual calculated risks at baseline. At baseline, 45% reported moderate/strong risk and 43% reported lower-than-average risk; 53% said that their risk was lower than 15%. Mean perceived lifetime risk was 31 out of 100. Throughout follow-up, the treatment group reported lower risks by all measures, as compared to controls. However, for African American women, perceived risk "out of 100 women" did not change. A brief health risk appraisal tends to lower breast cancer risk perceptions for at least 18 months, but the impact may vary by race/ethnicity. These findings could affect health behaviors, such as annual mammograms, which are influenced by perceived risk.

Objectives: To survey pharmacy preceptors regarding experiential education and determine the implications of the findings on colleges and schools of pharmacy., Methods: An online survey was sent to 4,396 experiential sites. The survey instrument consisted of 41 questions regarding the experiential education environment from the preceptor's perspective (eg, experiential load, time-quality issues, compensation, etc)., Results: One thousand one hundred sixty-three preceptors responded (26.5%) to the survey. Concerning experiential load, 73% took 2 or more students in the past year and almost half of the sites had to turn placements away. Nearly all preceptors felt that the more time they spent with students, the higher quality the experience, and 20% felt they didn't have enough time to provide a quality experience. Thirty-six percent of respondents chose monetary stipend as the form of compensation they valued most., Conclusions: This study provides insights into the issues that concern volunteer preceptors and the findings could be used to enhance the quality of experiential education in pharmacy.

Objectives: To evaluate the success of an elective course in Native American culture, health, and service-learning in fostering interest in experiences and careers with the USPHS Indian Health Service (IHS), and in shaping reflective practitioners., Design: Students conducted readings, kept reflective journals, and engaged in discussions with Native American and non-Native American speakers. Students orally presented a Native American health issue and spent their fall break in Chinle, Ariz, providing social and healthcare services to the Diné under the supervision of IHS pharmacists. Opportunities for additional IHS experiences were discussed, as was discerning the Creator's call to a professional life of service., Assessment: Thirteen of 15 students who had completed the service-learning course by January 2007 responded to a brief survey indicating that not only were the course objectives met, but the experiences had a lasting impact on professional mindset and career plans., Conclusion: The course had a lasting impact on students' understanding of Native American social and health care issues, and on how they will practice their profession and live their lives.

To ensure a successful psychiatric unit in a general hospital, the hospital must determine needs, plan with all involved parties, and follow up with sensible control measures.

The workplace is a relatively recent and an increasingly recognized setting for health education. In this article, philosophical and economic reasons for this movement of health education in the workplace are cited. Currently the workplace is one of the fastest growing markets for health education. In most institutions, preparing health educators for the workplace has not been adequately addressed. Consequently, an experimental course entitled "Health Promotion and Educational Strategies for the Workplace" was developed and taught at The Ohio State University in the summer of 1981. Besides an extensive reading list and lively class discussions, the course was team-taught primarily by a health education faculty member and a health insurance program manager/health educator.