ASC-H was included in the calculation of ASC %, ASCSIL, and ASC HPV+ rates.
 
  There was a substantial decline in the lab ASC rate and ASCSIL ratio, and the ASC HPV+ rate increased. Individual faculty changes in ASCSIL ratio and ASC HPV+ rate also improved.
 
  In our institution, an educational program has been very effective in improving Papanicolaou test metrics. It is helpful to perform re-education at all levels within the department.
 In our institution, an educational program has been very effective in improving Papanicolaou test metrics. It is helpful to perform re-education at all levels within the department.
  While severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection presents with mild or no symptoms in most cases, a significant number of patients become critically ill. Remdesivir has been approved for the treatment of coronavirus disease 2019 (COVID-19) in several countries, but its use as monotherapy has not substantially lowered mortality rates. Because agents from traditional Chinese medicine (TCM) have been successfully utilized to treat pandemic and endemic diseases, we designed the current study to identify novel anti-SARS-CoV-2 agents from TCM.
 
  We initially used an antivirus-induced cell death assay to screen a panel of herbal extracts. The inhibition of the viral infection step was investigated through a time-of-drug-addition assay, whereas a plaque reduction assay was carried out to validate the antiviral activity. Direct interaction of the candidate TCM compound with viral particles was assessed using a viral inactivation assay. Finally, the potential synergistic efficacy of remdesoV-2 replication by inactivating the virion. Our data may prompt additional investigation on the clinical usefulness of PLE for preventing or treating COVID-19.
  This evidence report synthesizes the available evidence on radiation therapy for brain metastases.
 
  The literature search included PubMed, EMBASE, Web of Science, Scopus, CINAHL, clinicaltrials.gov, and published guidelines in July 2020; independently submitted data, expert consultation, and contacting authors. Included studies were randomized controlled trials (RCTs) and large observational studies (for safety assessments), evaluating whole brain radiation therapy (WBRT) and stereotactic radiosurgery (SRS) alone or in combination, as initial or postoperative treatment, with or without systemic therapy for adults with brain metastases due to lung cancer, breast cancer, or melanoma.
 
  Ninety-seven studies reported in 189 publications were identified, but the number of analyses was limited owing to different intervention and comparator combinations as well as insufficient reporting of outcome data. Risk of bias varied, and 25 trials were terminated early, predominantly owing to poor accrual. The combination n patient-relevant outcomes such as quality of life, functional status, and cognitive effects.
 Despite the substantial research literature on radiation therapy, comparative effectiveness information is limited.  https://www.selleckchem.com/products/PD-0325901.html  There is a need for more data on patient-relevant outcomes such as quality of life, functional status, and cognitive effects.The increasing focus on efficiency of care has prompted health systems to look for innovative solutions that yield maximum value for care. Integration of care and eHealth are seen as the most promising solutions in the high technological environment of the coming decades. Pharmacy services have been developed to a point where the face of community pharmacy has changed dramatically. Thus, service design and implementation has become an area of increased attention by Pharmacy practice researchers, and the arrival of eHealth concepts to Pharmacy is driving the need to find alternative ways to design new services. Moreover, known barriers and challenges remain when securing integration of pharmacy services with the health systems. In this paper, Design Science Research Methodology (DSRM), a user-centered alternative methodology to the design, development and implementation of health services, especially eHealth services, is presented. This alternative, originally from the Information Sciences field, has been adopted as a service design methodology in diverse settings, including health care. Here, case studies are used to explain how a DSRM process should be conducted in a health care setting, illustrating what methods to choose in each step of the process. Finally, the advantages of DSRM compared to other user-centered methodologies for service design are presented, hopefully prompting the discussion on the use of DSRM for the study of the implementation and sustainability of pharmacy services.Clinical and social pharmacy researchers often have questions regarding contingencies of effects (i.e., moderation) that are tested by including interactions in statistical models. Much of the available literature for estimating and testing effects that emanate from moderation models is based on extensions of the linear model with continuous outcomes. Binary (or dichotomous) outcome variables, such as prescription-medication misuse versus no misuse, are commonly encountered by clinical and social pharmacy researchers. In moderation analysis, binary outcomes have led to an increased focus on the fact that measures of interaction are scale-dependent; thus, researchers may need to consider both additive interaction and multiplicative interaction. Further complicating interpretation is that the statistical model chosen for an interaction can provide different answers to questions of moderation. This manuscript will 1) identify research questions in clinical and social pharmacy that necessitate the use of these statistical methods, 2) review statistical models that can be used to estimate effects when the outcome of interest is binary, 3) review basic concepts of moderation, 4) describe the challenges inherent in conducting moderation analysis when modeling binary outcomes, and 5) demonstrate how to conduct such analyses and interpret relevant statistical output (including interpretations of interactions on additive and multiplicative scales with a focus on identifying which statistical models for binary outcomes lead to which measure of interaction). Although much of the basis for this paper comes from research in epidemiology, recognition of these issues has occurred in other disciplines.