Purpose Of Review: To offer: (1) Insight into the antivaccine movement's use of social media negatively impacting vaccine hesitancy and disease outbreaks, (2) Examples via case observations, and (3) Selected resources to combat vaccine hesitancy.
Recent Findings: For the past 25 years, daily social media usage has risen continually, allowing information to spread widely to a reading/listening/viewing audience via mostly unvetted social media sites. During a pandemic/epidemic (e.
Children in rural settings are under-represented in clinical trials, potentially contributing to rural health disparities. We performed a scoping review describing available literature on barriers and facilitators impacting participation in pediatric clinical trials in rural and community-based (nonclinical) settings. Articles identified via PubMed, CINAHL, Embase, and Web of Science were independently double-screened at title/abstract and full-text levels to identify articles meeting eligibility criteria.
View Article and Find Full Text PDFGeographically-dispersed teams have become the norm in clinical research collaborations. The Institutional Development Awards (IDeA) Program, first authorized by Congress in 1993 and managed by the National Institute of General Medical Sciences, has been developed for the purpose of broadening the geographic distribution of National Institutes of Health (NIH) funding for biomedical and behavioral research by enhancing the competitiveness for research funding of institutions located in states in which the aggregate success rate for grant applications to the NIH has historically been low. The IDeA States are composed of the Commonwealth of Puerto Rico and the following 23 states: Alaska, Arkansas, Delaware, Hawaii, Idaho, Kansas, Kentucky, Louisiana, Maine, Mississippi, Montana, Nebraska, Nevada, New Hampshire, New Mexico, North Dakota, Oklahoma, Rhode Island, South Carolina, South Dakota, Vermont, West Virginia, Wyoming.
View Article and Find Full Text PDFStudies often rely on medical record abstraction as a major source of data. However, data quality from medical record abstraction has long been questioned. Electronic Health Records (EHRs) potentially add variability to the abstraction process due to the complexity of navigating and locating study data within these systems.
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