364 research outputs found
Prevention and Education in Medication Assisted Treatment Facilities
Introduction and Background: Between 1999 and 2014 the number of patients in the labor and delivery that were on medication for opioid use disorder (MOUD) quadrupled. The rate of unintended pregnancies in pregnant patients of mOUD is at a tremendous high due to inconsistencies in the use of reliable contraception in this population.
Purpose Statement: To reduce the number of unintended pregnancies and infants born with neonatal abstinence syndrome there is a need for prevention and required education for men and women in medication-assisted facilities.
Literature Review: Twenty research studies were reviewed and evaluated. These articles were found by utilizing PubMed, CINAHL, One Search, and Google Scholar. Most articles were discovered in the following Journals: Medical, Contraceptive, Preventative Medicine, Women\u27s Health, Addiction, and Neonatal Nursing Journals.
Findings: Through this research, we found there is a need for prevention services and required education onsite at the facility where patients are receiving medication for opioid addiction (mOUD). The following articles show the lack of contraceptive education, and misinformation about reproduction while on methadone or other medication-assisted drugs.
Conclusion: The accessibility of having contraceptives onsite with required education for patients who are in treatment has been proven to be more effective and can decrease the number of unintended pregnancies or infants born with Neonatal Abstinence Syndrome. To be able to give better patient care for this specific demographic it is crucial that nurses are allowed to educate clients
Fatally Injured Pedestrians and Bicyclists in the United States with High Blood Alcohol Concentrations
More than one-third of pedestrians and one-fifth of bicyclists killed in crashes in 2014 were impaired by alcohol, but scant attention has been paid to the problem. This omission contrasts starkly with the many successful policies that have reduced impaired driving, a new Institute study notes.The study looked at fatalities of passenger vehicle drivers, pedestrians and bicyclists 16 and older from 1982 to 2014. Using a federal database, IIHS researchers looked at the characteristics of those crashes and trends over time. They found that the percentage of fatally injured pedestrians and bicyclists 16 and older who were impaired has fallen over the decades, but not as dramatically as the percentage of impaired drivers
A Physiologically-Based Pharmacokinetic Model for the Antibiotic Levofloxacin
Levofloxacin is in a class of antibiotics known as fluoroquinolones, which treat infections by killing the bacteria that cause them. A physiologically-based pharmacokinetic (PBPK) model was developed to investigate the uptake, distribution, and elimination of Levofloxacin after a single dose. PBPK modeling uses parameters such as body weight, blood flow rates, partition coefficients, organ volumes, and several other parameters in order to model the distribution of a particular drug throughout the body. Levofloxacin is only moderately bound in human blood plasma, and, thus, for the purposes of this paper, linear bonding is incorporated into the model because the free or unbound portion of the drug is the only portion that is considered to be medicinally effective. Parameter estimation is then used to estimate the two unknown parameters given clinical data from literature on the total concentration of Levofloxacin in the blood over time. Once an adequate model is generated, the effects of varying Body Mass Index are tested for the absorption and distribution of Levofloxacin throughout the body
Two-color cavity ringdown spectroscopy: Optical detection of room-temperature CO samples at parts-per-quadrillion concentration level
Detection sensitivity is often one of the most important attributes to
consider during selection of spectroscopic techniques. However, high
sensitivity alone is insufficient for spectroscopic measurements and peak
assignments in spectrally congested regions. Two-color cavity ringdown
spectroscopy (2C-CRDS), based on intra-cavity pump-probe detection,
simultaneously achieves high detection sensitivity, selectivity, and accuracy.
Thanks to its built-in compensation for instrumental baseline fluctuations and
one-photon background molecular signals, 2C-CRDS enables mid-IR detection of
radiocarbon dioxide (CO) in - CO samples,
with better than 10 parts-per-quadrillion (ppq) measurement and
(4 ppq on average from four separate trial measurements). This
detection capability is prohibitively challenging for other existing
spectroscopic techniques based on one-photon absorption, because of severe
spectral overlap between the very weak CO signals and the
orders-of-magnitude stronger hot-band signals from other CO isotopologues
at room temperature. 2C-CRDS measurements of room-temperature CO
samples at the record sub-10-ppq concentration level could directly benefit a
wide range of scientific fields that utilize C for dating and isotope
tracing, especially during field deployment. The 2C-CRDS technique
significantly enhances the sensitivity and general utility of high-resolution
mid-IR detection for analytical trace measurements and fundamental chemical
dynamics studies.Comment: 14 pages, 5 figures, 1 tabl
Room-temperature quantification of CO below the natural abundance with two-color cavity ring-down spectroscopy
Radiocarbon's natural production, radiative decay, and isotopic rarity make
it a unique tool to probe carbonaceous systems in the life and earth sciences.
However, the difficulty of current radiocarbon (C) detection methods
limits scientific adoption. Here, two-color cavity ring-down spectroscopy
detects CO in room-temperature samples with an accuracy of 8% of
the natural abundance in 3 minutes. The intra-cavity pump-probe measurement
uses two cavity-enhanced lasers to cancel out cavity ring-down rate
fluctuations and strong one-photon absorption interference (>10,000 1/s) from
hot-band transitions of CO isotopologues. Selective, room-temperature
detection of small CO absorption signals (<1 1/s) reduces the
technical and operational burdens for cavity-enhanced measurements of
radiocarbon, which can benefit a wide range of applications like biomedical
research and field-detection of combusted fossil fuels.Comment: 4 main figures, 2 supplementary figure
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Increasing United States College Access for Native Arabic Speakers: Applying a Simplification Intervention and Evaluating Machine and Human Translations
Across many language backgrounds, a consistent hurdle to accessing United States higher education is understanding the basic information necessary to apply for admission and financial aid and complete the many enrollment management processes necessary to begin one’s college career (apply for housing, receive and submit vaccinations, register for classes, etc.). However, to date, no studies have explored how this type of higher education information can be simplified and translated into Arabic, one of the most widely spoken languages in the world and a linguistic background shared by tens of thousands of prospective international students (and their families) seeking higher education in the United States. This case study reports on research-to-practice work conducted with the University of Iowa, specifically how the university simplified their enrollment management information and how that information was translated into Arabic for native Arabic speakers seeking access to the University of Iowa. Findings reveal that the institution simplified text to speak more directly to prospective student audiences by using second person pronouns and simpler sentence structure and diction to engage this audience. Moreover, analyses of machine and human translations of English to Arabic suggest that human translation should be the preferred mechanism of translating higher education information, as Google Translate and Chat GPT [A1] provided adequate but not perfect translations of Iowa’s information. Implications for practice and college access are addressed.Educatio
Hand-held cell phone use while driving legislation and observed driver behavior among population sub-groups in the United States
Abstract Background Cell phone use behaviors are known to vary across demographic sub-groups and geographic locations. This study examined whether universal hand-held calling while driving bans were associated with lower road-side observed hand-held cell phone conversations across drivers of different ages (16–24, 25–59, ≥60 years), sexes, races (White, African American, or other), ruralities (suburban, rural, or urban), and regions (Northeast, Midwest, South, and West). Methods Data from the 2008–2013 National Occupant Protection Use Survey were merged with states’ cell phone use while driving legislation. The exposure was presence of a universal hand-held cell phone ban at time of observation. Logistic regression was used to assess the odds of drivers having a hand-held cell phone conversation. Sub-groups differences were assessed using models with interaction terms. Results When universal hand-held cell phone bans were effective, hand-held cell phone conversations were lower across all driver demographic sub-groups and regions. Sub-group differences existed among the sexes (p-value, <0.0001) and regions (p-value, 0.0003). Compared to states without universal hand-held cell phone bans, the adjusted odds ratio (aOR) of a driver hand-held phone conversation was 0.34 [95% confidence interval (CI): 0.28, 0.41] for females versus 0.47 (CI 0.40, 0.55) for males and 0.31 (CI 0.25, 0.38) for drivers in Western states compared to 0.47 (CI 0.30, 0.72) in the Northeast and 0.50 (CI 0.38, 0.66) in the South. Conclusions The presence of universal hand-held cell phone bans were associated lower hand-held cell phone conversations across all driver sub-groups and regions. Hand-held phone conversations were particularly lower among female drivers and those from Western states when these bans were in effect. Public health interventions concerning hand-held cell phone use while driving could reasonably target all drivers
Mobile phone use while driving: Underestimation of a global threat
© 2015 Elsevier Ltd. The use of mobile phones (cell phones) has increased dramatically in the 21st century. The popularity of mobile phones and smart phones in the computer age can in part be associated with the growing problem of driver distraction. There are indications that the use of mobile phones while driving is one of the leading contributors to road traffic collisions (RTCs). However the true impact of the contribution of mobile phones to RTCs is masked by deficiencies in reporting. This review examines the evidence of association between mobile phone use and RTCs, placing emphasis on the challenges associated with reporting the role of mobile phones in RTCs across different countries, including the United States of America, Canada, China and Great Britain
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