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J Clin Transl Sci ; 5(1): e106, 2021 Apr 21.
Article in English | MEDLINE | ID: covidwho-1260895

ABSTRACT

INTRODUCTION: COVID-19 altered research in Clinical and Translational Science Award (CTSA) hubs in an unprecedented manner, leading to adjustments for COVID-19 research. METHODS: CTSA members volunteered to conduct a review on the impact of CTSA network on COVID-19 pandemic with the assistance from NIH survey team in October 2020. The survey questions included the involvement of CTSAs in decision-making concerning the prioritization of COVID-19 studies. Descriptive and statistical analyses were conducted to analyze the survey data. RESULTS: 60 of the 64 CTSAs completed the survey. Most CTSAs lacked preparedness but promptly responded to the pandemic. Early disruption of research triggered, enhanced CTSA engagement, creation of dedicated research areas and triage for prioritization of COVID-19 studies. CTSAs involvement in decision-making were 16.75 times more likely to create dedicated diagnostic laboratories (95% confidence interval [CI] = 2.17-129.39; P < 0.01). Likewise, institutions with internal funding were 3.88 times more likely to establish COVID-19 dedicated research (95% CI = 1.12-13.40; P < 0.05). CTSAs were instrumental in securing funds and facilitating establishment of laboratory/clinical spaces for COVID-19 research. Workflow was modified to support contracting and IRB review at most institutions with CTSAs. To mitigate chaos generated by competing clinical trials, central feasibility committees were often formed for orderly review/prioritization. CONCLUSIONS: The lessons learned from the COVID-19 pandemic emphasize the pivotal role of CTSAs in prioritizing studies and establishing the necessary research infrastructure, and the importance of prompt and flexible research leadership with decision-making capacity to manage future pandemics.

2.
J Subst Abuse Treat ; 124: 108266, 2021 05.
Article in English | MEDLINE | ID: covidwho-1009704

ABSTRACT

People who use drugs (PWUD) often experience barriers to preventative health care. During the COVID-19 pandemic, due to lapses in harm reduction services, several public health experts forecasted subsequent increases in diagnosis of HIV in PWUD. As many inpatient hospitals reworked patient flow during the COVID-19 surge, we hypothesized that HIV testing in PWUD would decrease. To answer this question, we compiled a deidentified list of hospitalized patients with electronic medical record indicators of substance use-a positive urine toxicology screen, prescribed medications to treat opioid use disorder, a positive CIWA score, or a positive CAGE score-admitted between January, 2020 and August, 2020. The outcome of interest was HIV test completion during inpatient hospitalization. The study used logistic regression to examine associations between type of substance use and receipt of HIV test. The study grouped substance use type into four groups (1) opioids (oxycodone, fentanyl, or other opiates) or opioid use disorder treatments (methadone, buprenorphine, naltrexone); (2) stimulant use (cocaine or amphetamines); (3) alcohol use (presence of a positive CAGE or CIWA score or alcohol present on toxicology screen); and (4) benzodiazepine use (benzodiazepines present on toxicology screen). The proportion of PWUD who were tested for HIV increased from 10.4% in January, 2020 to 28.2% in April, 2020 and back down to 12% in August. Notably, there was an inverse trend over time for number of people hospitalized with drug use, from 259 in January to a nadir of 85 in April, and then up to 217 in August, 2020. Contrary to our hypothesis, HIV testing increased during the COVID-19 pandemic, and we discuss explanations for this finding. The decrease in HIV testing post-pandemic peak is a reminder that we must work to develop interventions that lead to sustained high rates of HIV testing for all people, and especially for PWUD.


Subject(s)
Alcoholism , Analgesics, Opioid/adverse effects , COVID-19 , Fentanyl/adverse effects , HIV Testing/statistics & numerical data , Hospitalization/statistics & numerical data , Buprenorphine/therapeutic use , Cocaine , Humans , Massachusetts , Opioid-Related Disorders/rehabilitation , Time Factors
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