The intricate dynamics of larger-scale social and environmental factors must be taken into account by third-generation research projects aiming to reduce or prevent violence against SGM populations. Data on sexual orientation and gender identity (SOGI) has increased in population-based health surveys, but to enable large-scale public health initiatives that combat violence against sexual and gender minority (SGM) communities, administrative datasets, such as those from healthcare, social services, coroner and medical examiner offices, and law enforcement, also require the inclusion of SOGI information.
This single-group pre-post test study examined the efficacy of an educational workshop for multidisciplinary staff in long-term care settings. The workshop aimed to improve their implementation of a palliative care approach and their perspectives on conversations surrounding advanced care planning. The preliminary efficacy of the educational workshop was assessed by measuring two outcomes at the baseline and one month following the intervention. buy IWP-2 Staff knowledge of implementing a palliative approach to care was assessed by the End-of-Life Professional Caregivers Survey, along with the Staff Perceptions Survey, which evaluated the shift in staff perspectives on advance care planning conversations. Staff self-reported gains in palliative care knowledge, demonstrably improved (p.001), and enhanced perceptions of knowledge, attitude, and comfort concerning advance care planning discussions (p.027). Educational workshops dedicated to a palliative approach to care and comfort significantly bolster multidisciplinary staff's understanding of advance care planning discussions with residents, their families, and the broader long-term care team.
Following the murder of George Floyd, a national outcry resounded throughout higher education institutions, obligating universities and academic systems to address the entrenched problem of systemic racism. The desire to reduce fear and tension led to the creation of a specific curriculum.
Collaborative engagement of students, staff, and faculty in diversity, equity, and inclusion (DEI) matters is a priority for the Department of Health Outcomes and Biomedical Informatics at the University of Florida.
Data gathered from participants during the Fall semester of 2020, regarding narrative feedback, were analyzed using a qualitative design. Additionally, the
An assessment of the model implementation framework was carried out, building upon its application. Data collection included two focus groups and an analysis of documents, incorporating member feedback to confirm the findings. A thematic analysis procedure, comprising the steps of organizing, coding, and synthesizing, was implemented to examine predefined themes aligned with the Four Agreements.
Maintain a solid structure, consistently participate, anticipate the possibility of difficulty, openly express your thoughts, and accept the absence of definitive conclusions.
Forty-one participants were involved in the study; 20 were departmental staff, 11 were departmental faculty, and 10 were graduate students. The thematic analysis indicated that a considerable number of participants viewed their learning experience positively influenced by the personal experiences shared by their peers during group interactions; furthermore, several individuals expressed intentions of either re-enrolling in the course or recommending it to their colleagues.
Implementing with a structured methodology,
By replicating successful DEI ecosystems, we can build more diverse, equitable, and inclusive spaces in our training programs.
Courageous conversations, strategically implemented, can create more diverse, equitable, and inclusive training programs, aligning with the ethos of similar DEI ecosystems.
Many clinical trials find value in incorporating real-world data. Electronic case report forms (CRFs) often receive data manually extracted from electronic health records (EHRs), a procedure that is excessively time-consuming and error-prone, potentially causing important information to go unnoticed. The automated transfer of data between electronic health records (EHRs) and electronic case report forms (eCRFs) holds the promise of minimizing data abstraction and entry efforts, while simultaneously enhancing data quality and safety.
A clinical trial involving 40 hospitalized COVID-19 patients underwent an automated EHR-to-CRF data transfer test. From the Electronic Health Record (EHR), we categorized coordinator-entered data that could be automated (coverage), and determined the frequency of precise alignment between the automatically extracted EHR data and the study personnel's manually entered data for the study (concordance).
Using an automated EHR feed, 10,081 coordinator-completed values were populated, representing 84% of the 11,952 total. Data collected by both automated and study personnel revealed an astonishing 89% matching rate in the relevant data fields. The highest concordance (94%) was found in daily lab results, necessitating the largest allocation of personnel time, specifically 30 minutes for each participant. A painstaking analysis of 196 cases where discrepancies appeared between human and automated data input led a study coordinator and a data analyst to confirm that 152 (78%) of these occurrences were due to mistakes made during data entry.
Automated EHR feeding systems hold the potential to considerably lessen the burden on study personnel, leading to more accurate Case Report Form data.
Study personnel effort can be drastically reduced, and CRF data accuracy significantly improved, by utilizing an automated EHR feed.
The National Center for Advancing Translational Sciences (NCATS) seeks to elevate the translational process in the quest to advance research and treatment options for all diseases and conditions, providing these vital interventions to all in need. The crucial task of mitigating racial/ethnic health disparities and inequities, encompassing the stages of screening, diagnosis, treatment, and ultimately health outcomes (such as morbidity and mortality), is integral to NCATS's objective of delivering interventions more swiftly to everyone. To achieve this objective, we must bolster diversity, equity, inclusion, and accessibility (DEIA) within the translational workforce and the research spanning the entire translational spectrum, thus furthering health equity. This paper argues that DEIA elements are essential components of translational science's mission. This report details the National Institutes of Health (NIH) and the National Center for Advancing Translational Sciences (NCATS)'s recent efforts to promote Diversity, Equity, Inclusion, and Accessibility (DEIA) initiatives within the Translational Science workforce and in the funded research projects. Along with other initiatives, NCATS is designing ways to apply a lens of diversity, equity, inclusion, and accessibility (DEIA) into its work and studies—especially in relation to the Translational Science (TS) community—and will clarify these strategies using illustrations from NCATS-led, collaborative, and supported projects, working towards the Center's objective of expediting the availability of treatments for all.
This study analyzes the evolution of a CTSA program hub using bibliometrics, social network analysis (SNA), and altmetrics, evaluating changes in research productivity, citation impact, collaborative research efforts, and the research areas supported by CTSA funding since our initial 2017 pilot study.
The North Carolina Translational and Clinical Science Institute (NC TraCS) published works, generated between September 2008 and March 2021, constituted a part of the sampled data. buy IWP-2 In order to analyze the dataset, we implemented measures and metrics from bibliometrics, SNA, and altmetrics. Furthermore, we investigated research subjects and the interrelationships among various measurements.
1154 NC TraCS-supported publications achieved citation counts exceeding 53,560 in total by April 2021. The average number of citations per year and the average relative citation ratio (RCR) for these publications displayed improvement from a baseline of 33 and 226 in 2017 to 48 and 258 in 2021, respectively. Among the most published authors' collaboration network, the number of UNC units involved grew from seven in 2017 to ten in 2021. North Carolina TraCS facilitated co-authorship among 61 organizations in the state. PlumX metrics distinguished articles that achieved the top altmetric rankings. In the realm of NC TraCS-supported publications, roughly ninety-six percent demonstrated a SciVal Topic Prominence Percentile greater than the average; the average approximated translation potential for these publications was 542%; and 177 publications specifically addressed health disparity issues. Bibliometric measures, exemplified by citation counts and RCR, demonstrate a positive correlation with PlumX metrics, consisting of Citations, Captures, and Social Media activity.
< .05).
Distinct yet interconnected perspectives on CTSA research performance and long-term growth, particularly at the individual program hub level, are offered by bibliometrics, SNA, and altmetrics. buy IWP-2 These approaches to understanding can help CTSAs in delineating program areas of emphasis.
Analyzing CTSA research performance's development across time, especially at individual program hubs, requires the combined use of bibliometrics, SNA, and altmetrics, which furnish distinct, yet related, views. These perspectives contribute significantly to CTSAs' ability to identify and cultivate program themes of importance.
Recognition of the value of ongoing community engagement (CE) is growing, impacting both academic health centers and the communities they serve. The success and sustainability of CE projects, however, rest fundamentally on the collective efforts of faculty, learners, and community members, who often find these initiatives adding an extra layer of responsibility onto their already demanding professional and personal lives. The tension between institutional priorities and continuing education (CE) opportunities can hinder academic medical faculty participation in CE.