Background: The institution-wide response of the University of California San Diego Health system to the 2019 novel coronavirus disease (COVID-19) pandemic was founded on rapid development of in-house testing capacity, optimization of personal protective equipment usage, expansion of intensive care unit capacity, development of analytic dashboards for monitoring of institutional status, and implementation of an operating room (OR) triage plan that postponed nonessential/elective procedures. We analyzed the impact of this triage plan on the only academic neurosurgery center in San Diego County, California, USA.
Methods: We conducted a de-identified retrospective review of all operative cases and procedures performed by the Department of Neurosurgery from November 24, 2019, through July 6, 2020, a 226-day period. Statistical analysis involved 2-sample z tests assessing daily case totals over the 113-day periods before and after implementation of the OR triage plan on March 16, 2020.
Results: The neurosurgical service performed 1429 surgical and interventional radiologic procedures over the study period. There was no statistically significant difference in mean number of daily total cases in the pre-versus post-OR triage plan periods (6.9 vs. 5.8 mean daily cases; 1-tail P = 0.050, 2-tail P = 0.101), a trend reflected by nearly every category of neurosurgical cases.
Conclusions: During the COVID-19 pandemic, the University of California San Diego Department of Neurosurgery maintained an operative volume that was only modestly diminished and continued to meet the essential neurosurgical needs of a large population. Lessons from our experience can guide other departments as they triage neurosurgical cases to meet community needs.
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http://dx.doi.org/10.1016/j.wneu.2020.12.103 | DOI Listing |
Curr Diab Rep
October 2024
San Diego Zoo Wildlife Alliance, San Diego, CA, USA.
Purpose Of Review: While preliminary evidence for use of real-time continuous glucose monitoring (rtCGM) in the hospital setting is encouraging, challenges with currently available devices and technology will need to be overcome as part of real-world integration. This paper reviews the current evidence and guidelines regarding use of rtCGM in the hospital and suggests a practical approach to implementation.
Recent Findings: There is now a considerable body of real-world evidence on the benefits of reducing dysglycemia in the hospital using both traditional point-of-care (POC) glucose testing and rtCGM.
Int J Environ Res Public Health
June 2024
Action Research Collaborative (ARC), Cornell University, Ithaca, NY 14853, USA.
Homelessness, affecting over half a million Americans, significantly elevates the risks of mental and physical health issues, consequently diminishing life expectancy when compared with the general population. Homelessness is a critical public health issue, and efforts are needed to address lack of housing as a social determinant of health. Transitional housing (TH) programs emerge as vital interventions, offering a place to stay with various support services to facilitate the transition to permanent residency.
View Article and Find Full Text PDFFront Oral Health
March 2024
Centre for Dental Education, Faculty of Dentistry, Oral and Cranio-Facial Sciences, King's College London, London, United Kingdom.
Diabetes Res Clin Pract
April 2024
Scripps Whittier Diabetes Institute, Scripps Health, San Diego CA, Rip Road, New York, NY, United States.
Background: Hispanic individuals have higher type 2 diabetes (T2D) prevalence, poorer outcomes, and are disproportionately affected by COVID-19. Culturally-tailored, diabetes educational text messaging has previously improved HbA1c in this population.
Methods: During the pandemic, hospitalized Hispanic adults with T2D (N = 172) were randomized to receive Dulce Digital-COVID Aware ("DD-CA") texting platform upon discharge plus diabetes transition service (DTS) or DTS alone.
Am J Health Promot
July 2024
Department of Nutrition and Healthcare Management, Appalachian State University, Boone, NC, USA.
Purpose: To examine associations between sociodemographic variables, social determinants of health (SDOHs) and diabetes using health needs assessment data.
Design: Cross-sectional study.
Setting: Faith-based communities in the Mid-South U.
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