Health Information Seeking Using Tech and Non-Tech Sources Among a Diverse Sample of Caregivers in the Deep South.

Caregivers of people living with dementia (PLWD) are often tasked with making decisions about their loved one's daily care and healthcare treatment, causing stress and decision-making fatigue. Many caregivers engage in health information seeking to improve their health literacy for optimal decision-making, though there is limited knowledge about the strategies used to increase their health literacy. This study involved a survey of caregivers in Alabama, most of whom were African American and/or living in rural communities that have historically underserved. The findings shed light on caregivers' experiences in seeking out health-related information and their perceptions of various sources of information.

The role of elagolix in the suppression of ovulation in donor oocyte cycles.

Objective: To study the clinical use of elagolix in ovarian stimulation and its effect on premature ovulation in a cohort of women undergoing oocyte donation. Design: A prospective cohort study with the use of historical controls. Setting: A private reproductive endocrinology and infertility clinic. Patients: Seventy-five oocyte donors and 75 historical donors, aged 21-30 years, who had each passed Food and Drug Administration and American Society for Reproductive Medicine-approved oocyte donor screening. Interventions: Administration of elagolix 200 mg orally every night at bedtime with development of a follicular size of ≥14 mm for ovulation suppression compared with ganirelix 250 µg every night at bedtime. Main Outcome Measures: Premature ovulation rate, total oocytes, mature oocytes, maximum estradiol, luteinizing hormone, and progesterone levels. Results: Oocytes were available in all retrievals because there were no instances of premature ovulation in either the elagolix or ganirelix groups. There were no statistically significant differences between the groups in baseline demographics. Both groups had the same amounts of gonadotropins consumed and days of stimulation. The average number of total oocytes was similar between the control group and elagolix group (30.55 vs. 30.31). Furthermore, the average number of mature oocytes was similar between the control and study groups (25.42 vs. 24.73). An analysis of the 580 fresh oocytes in the elagolix group and the 737 fresh oocytes in the ganirelix group showed similar outcomes with fertilization rates of 79.7% and 84.6%, respectively. Blastocyst development rates were also similar: 62.9% in the elagolix group and 57.3% in the ganirelix group. Conclusions: Compared with a historical control group using ganirelix, patients receiving elagolix demonstrated a similar number of oocytes and mature oocytes with on average 4.2 fewer injections per cycle and average per-cycle patient savings of $289.10. Clinical Trial Registration Number: Western IRB Pr. No.: 20191163, April 11, 2019. First enrollment June 20, 2019.

Community Asset Mapping in Public Health: A Review of Applications and Approaches.

Though Community Asset Mapping (CAM) has been widely used in community-development and applied to public health interventions, little has been done to synthesize the current state of this approach. This paper reports the findings from a scoping review of research where CAM was applied to public health practice and research initiatives. We identified and reviewed 28 articles featuring studies that used asset mapping for public health purposes. Overall, we found that the purpose and methods related to asset mapping varied widely across studies. Given the potential benefits of asset mapping and its relevance to social work principles, researchers and public health professionals should approach asset mapping with the same level of attention, rigor, and ethics as other research methodologies or intervention design. There is an obligation to engage in asset mapping in ways that promote our ethical principles of service, dignity, integrity, and competence.

Distribution of Salmonella serovars and phage types on 80 Ontario swine farms in 2004.

The objective of this study was to describe the distribution of Salmonella spp. on Ontario grower-finisher pig farms. Eighty swine farms were visited from January through July 2004. On each farm, fecal samples were collected from 5 pens, 2 rectal samples and 1 pooled sample from fresh manure on the floor per pen. Salmonella was isolated from 91 (11%) of the 800 rectal samples and 73 (18%) of the 397 pooled samples. Overall, Salmonella was recovered from 37 (46%) of the 80 farms. On each positive farm, Salmonella was cultured from 1 to 7 pigs or 1 to 5 pens. Of the 37 farms, 18, 13, 5, and 1 yielded 1, 2, 3, and 4 serovars, respectively. The most common serovars were S. Typhimurium var. Copenhagen, S. Infantis, S. Typhimurium, S. Derby, S. Agona, S. Havana, and S. enterica subsp. I:Rough-O. The 3 most frequent phage types were PT 104, PT 104a, and PT 104b. There was a statistically fair agreement between samples collected directly from pigs and pooled pen samples in determining the Salmonella status at the pen and farm level (kappa = 0.6, P < 0.0001). However, in 62 pens, Salmonella status, serovars, or phage types differed between the pig and pooled pen samples. The distribution of Salmonella on the swine farms in this study indicates that, in developing an intervention strategy, priority should be given to farms positive for S. Typhimurium var. Copenhagen. Also, the variation in Salmonella status between pig and pooled pen samples deserves consideration in a sampling strategy.

The challenges of imaging based computational fluid dynamics.

Image based Computational Fluid Dynamics (CFD) simulation of the cardiovascular system is increasingly becoming important and its application in everyday medical practice can already be envisaged. The goal of this workshop is to address all the factors involved in the development of a computational framework/software for modelling and analyses of the cardiovascular system and provide examples. The development of such framework, requires integration, management and interpretation of data from several technology areas such as a) feature detection and extraction of arterial geometry from imaging data, b) adaptive grid generation techniques for 3-D asymmetric geometries c) hemodynamic modelling, disparate length-scale model, and fluid-tissue interaction with high-performance computing, d) CFD data validation, e) feature extraction/detection and visualisation algorithms, f) graphical user interface to allow remote visualisation of post processed data. These computational tools are employed to study flow in specific problem sites in the vascular tree such as the carotid, femoral, coronary and abdominal arteries. Such studies provide understanding of the factors involved in the initialisation and evolution of arterial disease due to altered flow conditions (as a result of plaque formation) such as flow separation and reversal, and low and oscillatory wall shear stress. It is also used to study the effect of various clinical procedures such as the implantation of stents, vascular grafts, vascular prostheses and artificial valve implants on local and global hemodynamics. This workshop will address a new emerging paradigm in clinical practice known as predictive medicine for effective surgical planning and post surgical rehabilitation. The workshop will also address the difficulties in the implementation of some of the technology areas in this application with examples of carotid, femoral, and abdominal artery simulations.