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OBJECTIVE: To determine the feasibility of standardized, prospective assignment of initial method of detection (MOD) of breast cancer by radiologists in diverse practice settings. METHODS: This multicenter, retrospective study analyzed the rate of assignment of MOD in four geographically varied health systems. A universal protocol for basic MOD assignment was agreed upon by the authors before start of the pilot study. Radiologists at each site were instructed how to assign MOD. Charts were then reviewed to determine the frequency and accuracy of MOD assignment for all cases subsequently diagnosed with breast cancer. When available, data regarding frequency of tumor registry abstraction were also reviewed for frequency and accuracy. RESULTS: A total of 2,328 patients with a new diagnosis of breast cancer were evaluated across the sites over the study period. Of these patients, initial MOD was prospectively assigned by the radiologist in 94% of cases. Of the cases in which MOD was assigned, retrospective review confirmed accurate assignment in 96% of cases. CONCLUSIONS: Prospective, standardized assignment of initial MOD of breast cancer is feasible across different practice sites and can be accurately captured in tumor registries. Standard collection of MOD would provide critical data about the impact of screening mammography in the United States.
Asunto(s)
Neoplasias de la Mama , Estudios de Factibilidad , Mamografía , Humanos , Neoplasias de la Mama/diagnóstico por imagen , Femenino , Proyectos Piloto , Estudios Retrospectivos , Persona de Mediana Edad , Estados Unidos , Mamografía/métodos , Sistema de Registros , Anciano , Estudios Prospectivos , Adulto , Detección Precoz del Cáncer/métodosRESUMEN
Magnetic resonance imaging (MRI) assessment of hepatic vasculature can be challenging in the setting of liver disease and liver lesions. The widely used hepatobiliary contrast agent gadoxetate is an extracellular contrast agent that provides excellent soft tissue characterization but has limitations as a vascular contrast agent. Ferumoxytol is an iron oxide nanoparticle with superparamagnetic properties that can be used as blood pool contrast agent to provide dedicated vascular assessment. We provide a detailed protocol for evaluation of pediatric liver vasculature using ferumoxytol, after imaging of the parenchyma with gadoxetate. We provide multiple examples and discuss practical considerations when incorporating ferumoxytol into practice.
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BACKGROUND: The internet has become a major source of health information, especially for adolescents and young adults. Unfortunately, inaccurate, incomplete, or outdated health information is widespread on the web. Often adolescents and young adults turn to authoritative websites such as the student health center (SHC) website of the university they attend to obtain reliable health information. Although most on-campus SHC clinics comply with the American College Health Association standards, their websites are not subject to any standards or code of conduct. In the absence of quality standards or guidelines, monitoring and compliance processes do not exist for SHC websites. Thus, there is no oversight of the health information published on SHC websites by any central governing body. OBJECTIVE: The aim of this study is to develop, describe, and validate an open-source software that can effectively and efficiently assess the quality of health information on SHC websites in the United States. METHODS: Our cross-functional team designed and developed an open-source software, QMOHI (Quantitative Measures of Online Health Information), that assesses information quality for a specified health topic from all SHC websites belonging to a predetermined list of universities. The tool was designed to compute 8 different quality metrics that quantify various aspects of information quality based on the retrieved text. We conducted and reported results from 3 experiments that assessed the QMOHI tool in terms of its scalability, generalizability in health topics, and robustness to changes in universities' website structure. RESULTS: Empirical evaluation has shown the QMOHI tool to be highly scalable and substantially more efficient than manually assessing web-based information quality. The tool's runtime was dominated by network-related tasks (98%), whereas the metric computations take <2 seconds. QMOHI demonstrated topical versatility, evaluating SHC website information quality for four disparate and broad health topics (COVID, cancer, long-acting reversible contraceptives, and condoms) and two narrowly focused topics (hormonal intrauterine device and copper intrauterine device). The tool exhibited robustness, correctly measuring information quality despite changes in SHC website structure. QMOHI can support longitudinal studies by being robust to such website changes. CONCLUSIONS: QMOHI allows public health researchers and practitioners to conduct large-scale studies of SHC websites that were previously too time- and cost-intensive. The capability to generalize broadly or focus narrowly allows a wide range of applications of QMOHI, allowing researchers to study both mainstream and underexplored health topics. QMOHI's ability to robustly analyze SHC websites periodically promotes longitudinal investigations and allows QMOHI to be used as a monitoring tool. QMOHI serves as a launching pad for our future work that aims to develop a broadly applicable public health tool for web-based health information studies with potential applications far beyond SHC websites.
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BACKGROUND: In response to Medicare readmission penalties, some hospitals have introduced transitional care clinics (TCCs) to meet the care needs of patients recently discharged from the emergency room or inpatient setting. This study was undertaken to increase the proportion of low-income, medically complex patients using a TCC at a large academic medical center, Northwestern Medical Group Transitional Care Clinic (NMG-TC). METHODS: This quality improvement study combined interviews and quantitative data analysis to determine how to increase use of NMG-TC. Physicians and patients were interviewed and surveyed to identify opportunities to expand clinic use. Logistic regression analysis of electronic health record (EHR) data was used to identify sociodemographic and clinical conditions influencing the TCC appointment show rate. RESULTS: Provider surveys and interviews suggested that referrals would likely increase via automation of referral guidelines and enhanced transitional care education. Patient interviews indicated that better communication of NMG-TC purpose, emphasizing nonmedical offerings, and warm handoffs could increase engagement. EHR analyses revealed that patients least likely to attend appointments were male, uninsured, non-Hispanic black, or homeless; had documented substance use; or lived > 50 miles from the clinic. Conversely, patients with heart failure, anxiety, or malignancy were more likely to attend appointments. CONCLUSION: TCC show rates could be improved with better communication of NMG-TC benefits to both patients and referring providers, as well as warm appointment handoffs, particularly for patients least likely to attend scheduled visits.