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The scrap metal and storage markets associated with platforms and drilling rigs are one of the least-publicized sectors of the energy industry. Structures, rigs, and marine vessels contribute to scrap supply in coastal communities and is an important sector for many regional economies, but relative to aggregate scrap sources are considered marginal contributors to total supply. In part three of this four-part series, we follow offshore structures through the scrap process and review conditions that affect the competitiveness of regional markets. Factors that impact scrap metal price are examined. We conclude with a brief overview of the industry players in the US scrap market. [ABSTRACT FROM AUTHOR]

Construction cost functions for the main process units that comprise a refinery are developed. The cost estimates pertain exclusively to grassroots construction; are limited to equipment inside the battery limits; and include materials and labor, design, engineering, contractor's fees, overhead, and expense allowance. The methodological framework, data sources, and normalization procedures used for cost estimation is presented, followed by a discussion of the limitations of analysis. This material updates and extends the investment cost curves presented by Gary and Handwerk in a previous publication. [ABSTRACT FROM AUTHOR]

Policy Points In a recently commissioned report on solutions for eliminating racial and ethnic health care inequities entitled Ending Unequal Treatment, the National Academies of Sciences, Engineering, and Medicine found a health workforce that is representative of the communities it serves is essential for health care equity. The Supreme Court decision to ban race-conscious admission constraints pathways toward health workforce representativeness and equity. This paper draws on the National Academies report's findings that health care workforce representativeness improves care quality, population health, and equity to discuss policy and programmatic options for various participants to promote health workforce representativeness in the context of race-conscious admissions bans., (© 2024 The Author(s). The Milbank Quarterly published by Wiley Periodicals LLC on behalf of The Milbank Memorial Fund.)

Background: The National Academies of Sciences, Engineering, and Medicine's Ending Unequal Treatment report emphasizes immediate actions to eliminate health inequities (i.e., solutions-oriented health inequity research), versus incrementally advancing health equity. Nurse scientists are uniquely positioned to lead national efforts to eliminate health inequities., Purpose: To outline nursing science's contributions to solutions-oriented health inequity research, highlight opportunities and challenges for nursing leadership, and key competencies for which workforce support infrastructure is needed., Methods: We draw on the landmark 2024 Ending Unequal Treatment report, supplemented by a review of the literature on scientific nursing-specific workforce challenges., Discussion: We identify strategies for sustaining and advancing nursing science's leadership in solutions-oriented health inequity research, including objectives, competencies, and programmatic elements needed to support current and future nurse investigators., Conclusion: Bolstering the nursing scientific workforce in solutions-oriented health inequity research will elevate the role of nursing science in eliminating health inequities and improving population health., Competing Interests: Declaration of Competing Interest Dr. Vincent Guilamo-Ramos served as a member of the National Academies of Sciences, Engineering, and Medicine’s (NASEM) Committee on Unequal Treatment Revisited, which developed the Ending Unequal Treatment report, and serves as part of the National Institute of Nursing Research (NINR) National Advisory Council for Nursing Research. The NINR National Advisory Council for Nursing Research had no role in the preparation, review, or approval of this Nursing Outlook article or the decision to submit the paper for publication. In addition, Dr. Guilamo-Ramos also of the US Presidential Advisory Council on HIV/AIDS; of the CDC/HRSA Advisory Committee on HIV, Viral Hepatitis, and STD Prevention and Treatment; and of the HHS Panel on Antiretroviral Guidelines for Adults and Adolescents. The other authors have no conflicts of interest to disclose., (Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.)

There is consensus about the importance of developing a strong cadre of effective multilevel interventions to eliminate the impacts of unjust social processes, such as structural racism and other harmful social determinants of health (SDOH), on health inequities in the USA. However, the available cadre of rigorously evaluated evidence-based interventions for SDOH mitigation remains underdeveloped relative to the magnitude of historic and current health inequities. The proposed manuscript addresses this gap in two ways: first, by introducing a heuristic framework to inform decisions in multilevel intervention development, study design, and selection of analytic methods and, second, by providing a roadmap for future applications of the framework in multilevel intervention research through an exemplar application using the ongoing NIH-funded evaluation study of the Nurse-Community-Family Partnership (NCFP) intervention. NCFP leverages individual, family, institutional, and system factors to shape COVID-19 mitigation outcomes at the individual and household levels. NCFP takes an approach informed by the heuristic framework to addressing and mitigating unjust social processes and other harmful SDOH. We discuss the application of a two-arm parallel explanatory group randomized trial to evaluate the efficacy of NCFP in improving the primary (COVID-19 testing uptake) and secondary (adoption of COVID-19 control measures, COVID-19 vaccine uptake, mutual aid capacity, etc.) outcomes at the individual and household levels. The analysis approach relies on random-intercept models, and we calculate the variance partitioning coefficient to estimate the extent to which household- and individual-level variables contribute to the outcome, allowing examination of NCFP effects at multiple levels., (© 2024. The Author(s).)

Purpose: Although a large proportion of males in the United States become sexually active during high school, condom use is decreasing and contributing to negative sexual health outcomes. Fathers are influential in promoting adolescent male sexual health; however, factors that shape fathers' decisions about when to discuss condom use with their sons remain understudied. We examined paternal perceptions of adolescent males' readiness for sex relative to fathers providing guidance for condom use in Latino and Black families., Methods: We recruited 191 Latino and Black males aged 15-19 years and their fathers in the South Bronx, New York City. Dyads completed surveys, and a subset of fathers participated in audio-recorded sessions with a father coach, which included conversations about adolescent male condom use. A sequential explanatory mixed methods design identified adolescent male developmental predictors for paternal guidance for condom use and explored how fathers perceive their sons' readiness for sex., Results: The quantitative findings indicate that paternal perception of their sons' readiness for sex is an important predictor of providing guidance for condom use, and that fathers consider other factors (beyond age and perceived sexual activity) in understanding their sons' developmental readiness for sex. The qualitative findings provide insights into these additional factors, which should be considered when engaging fathers in primary care around issues of adolescent male condom use., Conclusions: Fathers' perception of their sons' readiness for sex is a predictor of providing condom guidance. We provide practical suggestions for engaging fathers in primary care to promote correct and consistent condom use by adolescent males., (© 2024 Annals of Family Medicine, Inc.)

Policy Points A large body of scientific work examines the mechanisms through which social determinants of health (SDOH) shape health inequities. However, the nuances described in the literature are infrequently reflected in the applied frameworks that inform health policy and programming. We synthesize extant SDOH research into a heuristic framework that provides policymakers, practitioners, and researchers with a customizable template for conceptualizing and operationalizing key mechanisms that represent intervention opportunities for mitigating the impact of harmful SDOH. In light of scarce existing SDOH mitigation strategies, the framework addresses an important research-to-practice translation gap and missed opportunity for advancing health equity., Context: The reduction of health inequities is a broad and interdisciplinary endeavor with implications for policy, research, and practice. Health inequities are most often understood as associated with the social determinants of health (SDOH). However, policy and programmatic frameworks for mitigation often rely on broad SDOH domains, without sufficient attention to the operating mechanisms, and effective SDOH mitigation strategies remain scarce. To expand the cadre of effective SDOH mitigation strategies, a practical, heuristic framework for policymakers, practitioners, and researchers is needed that serves as a roadmap for conceptualizing and targeting the key mechanisms of SDOH influence., Methods: We conduct a critical review of the extant conceptual and empirical SDOH literature to identify unifying principles of SDOH mechanisms and to synthesize an integrated framework for conceptualizing such mechanisms., Findings: We highlight eight unifying principles of SDOH mechanisms that emerge from landmark SDOH research. Building on these principles, we introduce and apply a conceptual model that synthesizes key SDOH mechanisms into one organizing, heuristic framework that provides policymakers, practitioners, and researchers with a customizable template for conceptualizing and operationalizing the key SDOH mechanisms that represent intervention opportunities to maximize potential impact for mitigating a given health inequity., Conclusions: Our synthesis of the extant SDOH research into a heuristic framework addresses a scarcity of peer-reviewed organizing frameworks of SDOH mechanisms designed to inform practice. The framework represents a practical tool to facilitate the translation of scholarly SDOH work into evidence-based and targeted policy and programming. Such tools designed to close the research-to-practice translation gap for effective SDOH mitigation are sorely needed, given that health inequities in the United States and in many other parts of the world have widened over the past two decades., (© 2023 The Authors. The Milbank Quarterly published by Wiley Periodicals LLC on behalf of The Milbank Memorial Fund.)

The federal government has proposed an end to HIV transmission in the United States by 2030. Although the United States has made substantial overall progress in the fight against HIV/AIDS, data released by the Centers for Disease Control and Prevention have raised concerns about widening, yet largely unrecognized, HIV infection disparities among Hispanic and Latino populations.This commentary identifies underlying drivers of increasing new HIV infections among Hispanics/Latinos, discusses existing national efforts to fight HIV in Hispanic/Latino communities, and points to gaps in the federal response. Consideration of the underlying drivers of increased HIV incidence among Hispanics/Latinos is warranted to achieve the administration's 2030 HIV/AIDS goals.Specifically, the proposed reinforcement of national efforts to end the US HIV epidemic must include focused investment in four priority areas: (1) HIV stigma reduction in Hispanic/Latino communities, (2) the availability and accessibility of HIV treatment of HIV-positive Hispanics/Latinos, (3) the development of behavioral interventions tailored to Hispanic/Latino populations, and (4) the engagement of Hispanic/Latino community leaders.

: media-1vid15852345835001PEDS-VA_2018-1609 Video Abstract OBJECTIVES: With this study, we explore communication about consistent and correct condom use among African American and Latino male adolescents ages 15 to 19 and their fathers., Methods: Twenty-five father-son dyads completed semistructured interviews designed to elicit specific preferences for teaching and learning about consistent and correct condom use and strategies for addressing common condom use errors and problems. For analysis, we used in vivo coding and vertical and horizontal analysis techniques., Results: Fathers and sons agreed that communication about condom use is feasible and acceptable. However, fathers tended to convey vague messages regarding protecting oneself from the negative consequences of sexual activity. Furthermore, both fathers and sons reported barriers hindering conversations. Secondly, the style and frequency of condom use conversations can help overcome barriers and support father-son relationship management. Talking frequently in 1-on-1 settings and using strategies to reduce discomfort made communication easier. Lastly, fathers and sons reported distinct preferences for teaching and learning about condom use. Sons wanted fathers to give specific guidance on the use and management of condoms. Fathers expressed interest in opportunities for improving their own condom knowledge and skills. Fathers identified gaps in their own condom use knowledge as a limitation to effective instruction of their sons., Conclusions: A father-focused communication intervention about condom use is feasible and acceptable. Enhancing the intergenerational benefits of father-son communication by addressing specific father-son preferences and learning needs for condom use instruction, as well as communication barriers, represents a novel mechanism for reducing male sexual reproductive health disparities., Competing Interests: POTENTIAL CONFLICT OF INTEREST: The authors have indicated they have no potential conflicts of interest to disclose., (Copyright © 2019 by the American Academy of Pediatrics.)

The purpose of this study was to explore the sociodemographic factors that contribute to food affordability across space, with specific emphasis on rural and urban differences in the United States. A regression analysis was used to predict food affordability from several predictors in rural and urban areas, with a subanalysis of Appalachian and Delta counties. Rural households had significantly higher food expenditures to income ratios compared with urban counties; Appalachian and Delta counties had the highest on average food expenditure to income ratio. Affordable food buffers vulnerable families against food insecurity and subsequent chronic health issues, which are especially relevant in the Appalachian and Delta counties.

Objective: The current study aims to fill the gap in available healthcare de-identification resources by creating a new sharable dataset with realistic Protected Health Information (PHI) without reducing the value of the data for de-identification research. By releasing the annotated gold standard corpus with Data Use Agreement we would like to encourage other Computational Linguists to experiment with our data and develop new machine learning models for de-identification. This paper describes: (1) the modifications required by the Institutional Review Board before sharing the de-identification gold standard corpus; (2) our efforts to keep the PHI as realistic as possible; (3) and the tests to show the effectiveness of these efforts in preserving the value of the modified data set for machine learning model development., Materials and Methods: In a previous study we built an original de-identification gold standard corpus annotated with true Protected Health Information (PHI) from 3503 randomly selected clinical notes for the 22 most frequent clinical note types of our institution. In the current study we modified the original gold standard corpus to make it suitable for external sharing by replacing HIPAA-specified PHI with newly generated realistic PHI. Finally, we evaluated the research value of this new dataset by comparing the performance of an existing published in-house de-identification system, when trained on the new de-identification gold standard corpus, with the performance of the same system, when trained on the original corpus. We assessed the potential benefits of using the new de-identification gold standard corpus to identify PHI in the i2b2 and PhysioNet datasets that were released by other groups for de-identification research. We also measured the effectiveness of the i2b2 and PhysioNet de-identification gold standard corpora in identifying PHI in our original clinical notes., Results: Performance of the de-identification system using the new gold standard corpus as a training set was very close to training on the original corpus (92.56 vs. 93.48 overall F-measures). Best i2b2/PhysioNet/CCHMC cross-training performances were obtained when training on the new shared CCHMC gold standard corpus, although performances were still lower than corpus-specific trainings., Discussion and Conclusion: We successfully modified a de-identification dataset for external sharing while preserving the de-identification research value of the modified gold standard corpus with limited drop in machine learning de-identification performance., (Copyright © 2014 The Authors. Published by Elsevier Inc. All rights reserved.)

Background: Cincinnati Children's Hospital Medical Center (CCHMC) has built the initial Natural Language Processing (NLP) component to extract medications with their corresponding medical conditions (Indications, Contraindications, Overdosage, and Adverse Reactions) as triples of medication-related information ([(1) drug name]-[(2) medical condition]-[(3) LOINC section header]) for an intelligent database system, in order to improve patient safety and the quality of health care. The Food and Drug Administration's (FDA) drug labels are used to demonstrate the feasibility of building the triples as an intelligent database system task., Methods: This paper discusses a hybrid NLP system, called AutoMCExtractor, to collect medical conditions (including disease/disorder and sign/symptom) from drug labels published by the FDA. Altogether, 6,611 medical conditions in a manually-annotated gold standard were used for the system evaluation. The pre-processing step extracted the plain text from XML file and detected eight related LOINC sections (e.g. Adverse Reactions, Warnings and Precautions) for medical condition extraction. Conditional Random Fields (CRF) classifiers, trained on token, linguistic, and semantic features, were then used for medical condition extraction. Lastly, dictionary-based post-processing corrected boundary-detection errors of the CRF step. We evaluated the AutoMCExtractor on manually-annotated FDA drug labels and report the results on both token and span levels., Results: Precision, recall, and F-measure were 0.90, 0.81, and 0.85, respectively, for the span level exact match; for the token-level evaluation, precision, recall, and F-measure were 0.92, 0.73, and 0.82, respectively., Conclusions: The results demonstrate that (1) medical conditions can be extracted from FDA drug labels with high performance; and (2) it is feasible to develop a framework for an intelligent database system.

Objective: (1) To evaluate a state-of-the-art natural language processing (NLP)-based approach to automatically de-identify a large set of diverse clinical notes. (2) To measure the impact of de-identification on the performance of information extraction algorithms on the de-identified documents., Material and Methods: A cross-sectional study that included 3503 stratified, randomly selected clinical notes (over 22 note types) from five million documents produced at one of the largest US pediatric hospitals. Sensitivity, precision, F value of two automated de-identification systems for removing all 18 HIPAA-defined protected health information elements were computed. Performance was assessed against a manually generated 'gold standard'. Statistical significance was tested. The automated de-identification performance was also compared with that of two humans on a 10% subsample of the gold standard. The effect of de-identification on the performance of subsequent medication extraction was measured., Results: The gold standard included 30 815 protected health information elements and more than one million tokens. The most accurate NLP method had 91.92% sensitivity (R) and 95.08% precision (P) overall. The performance of the system was indistinguishable from that of human annotators (annotators' performance was 92.15%(R)/93.95%(P) and 94.55%(R)/88.45%(P) overall while the best system obtained 92.91%(R)/95.73%(P) on same text). The impact of automated de-identification was minimal on the utility of the narrative notes for subsequent information extraction as measured by the sensitivity and precision of medication name extraction., Discussion and Conclusion: NLP-based de-identification shows excellent performance that rivals the performance of human annotators. Furthermore, unlike manual de-identification, the automated approach scales up to millions of documents quickly and inexpensively.

We present the construction of three annotated corpora to serve as gold standards for medical natural language processing (NLP) tasks. Clinical notes from the medical record, clinical trial announcements, and FDA drug labels are annotated. We report high inter-annotator agreements (overall F-measures between 0.8467 and 0.9176) for the annotation of Personal Health Information (PHI) elements for a de-identification task and of medications, diseases/disorders, and signs/symptoms for information extraction (IE) task. The annotated corpora of clinical trials and FDA labels will be publicly released and to facilitate translational NLP tasks that require cross-corpora interoperability (e.g. clinical trial eligibility screening) their annotation schemas are aligned with a large scale, NIH-funded clinical text annotation project.

The 2000 United States Public Health Service (USPHS) clinical practice guideline, "Treating Tobacco Use and Dependence," recommends systems interventions to integrate the treatment of tobacco into routine health care. The Tobacco Control Initiative employed a systems approach to integrate evidence-based treatment for tobacco use into patient care practices in Louisiana's safety net health care system. The purpose of this study was to assess changes in awareness and implementation of the USPHS clinical practice guideline. Surveys were administered to a purposive sample of hospital personnel from key departments in the Louisiana State University system of public hospitals in 2003 (n = 24) and 2007 (n = 44). Perceptions of implementation success improved for 50 of 59 distinct survey items. Rasch scaling was used to assess overall (scaled) change and showed substantial improvement from 2003 to 2007 (P < 0.001). Survey items also were grouped into 6 logical key concept sets. Improvement occurred in perceptions for all 6 key concepts; however, not uniformly. Results of the 2003 and 2007 surveys illustrate the potential effectiveness of using a systems approach to integrate the assessment and treatment of tobacco use into routine care practices in a public health care delivery system that serves medically vulnerable populations.

The age-associated loss of muscle mass and muscle strength described by the term sarcopenia is highly relevant for functionality among nursing home residents. Nevertheless, the scientific literature concentrating on sarcopenia in this population is scarce. For practical reasons, common definitions of this entity, which rely on dual energy x-ray absorptiometry (DEXA) and bioimpedance analysis (BIA), cannot be applied in this setting. Anthropometric measurements like arm muscle circumference and calf circumference seem to be most suitable. Handgrip may be used as an alternative. Prevalence data show a wide range but are mostly high. There is a close association of the degree of sarcopenia with dependence among residents. The pathophysiology of sarcopenia in this population is strongly influenced by comorbidity and often there is significant overlap with the cachexia syndrome. At present, physical exercise is regarded to be the most promising therapeutic option, with resistance training being superior to endurance programs. Physical exercise has been successful even among Alzheimer patients and physically restrained residents. It has to be accompanied by the provision of adequate and diverse meals based on individual energy and nutrient requirements. Special attention should be paid to the treatment of vitamin D deficiency if present. New therapeutic options include Whole Body Vibration, oral supplements with essential amino acids and leucine, ACE-inhibitors, and cytokine-modifying drugs.

This article reflects the authors' experiences in the conduct of a third-party internal review of a device manufacturer as part of the Application Integrity Policy. The experiences are discussed in terms of recommended operational procedural issues from the vantage point of the sponsor and consultant(s). Issues pertaining to the sponsor, such as employee cooperation, work priorities and responsibilities, the assembly of data to be audited, and the need to have an orientation program for the consultant(s), will be discussed. Likewise, issues pertaining to the consultant(s), such as their expertise, the need for a clearly defined audit plan and work assignments, the handling of interpersonal conflicts if they arise, and the content of the audit report, will be discussed.

Signing a managed-care contract does not have to be an unnerving experience, as long as a practice administrator or physician is armed with the right information.