Importance: There have been no attempts to determinethe understanding of the Affordable Care Act (ACA)among dermatologists. Objective: Assess knowledgeof the ACA among academic dermatologists. Design:A 21-item survey was administered to membersof the Association of Professors of Dermatology(APD). The items assessed knowledge and opinionsof the ACA, and demographics of the participants.Multivariate regressions were conducted todetermine associations between variables.Participants: Members of the Association of Professorsof Dermatology. Main Measure: Knowledge of theACA. Results: One hundred and eight out of 368 APDmembers completed the survey (29.3%). Ninetysixpercent of responders practice in an academicsetting. Only 36 (33.3%) rated their knowledge of theACA as good/great, whereas 67 (62%) believed thatthe ACA will change their practice. The mean numberof knowledge questions correctly answered was 4.5out of 7 (64.3%). Dermatologists who reported thattheir knowledge of the bill was good/great (p=0.04)and proc...
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We are excited to share with you the newest dentistry and patient safety editions recently added to STAT!Ref. As a reminder, all STAT!Ref c...
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Abstract Sexual dimorphism in the human respiratory system has been previously reported at the skeletal (cranial and thoracic) level, but ...
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Abstract The effects of oxygen addition on a helium-based flowing atmospheric pressure afterglow (FAPA) ionization source are explored. Sm...
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Objective Both antitumor and antisecretory efficacies of dopamine agonists (DA) make them the first-line treatment of macroprolactinomas. Ho...
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2016-12-10T02-17-59Z Source: Indo American Journal of Pharmaceutical Research M.R. Pradeep Kumar*, Shrinivas D. Joshi . With an objecti...
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The evaluation of mineral resources development efficiency is a typical multicriteria decision-making issue. Meanwhile, due to the limited e...
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Photochem. Photobiol. Sci. , 2018, Accepted Manuscript DOI : 10.1039/C7PP00350A, Paper Yan Xie, Jianrong Gao, Shaozheng Zhang, Liang Wu F...
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Background: Inferring the topology of gene regulatory networks (GRNs) from microarray gene expression data has many potential applications, ...
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