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Assessment of Controlled Substance Distribution to U.S. Veterinary Teaching Institutions From 2006 to 2019.

ABSTRACT: Objective: To evaluate the changing pattern of distribution of Schedule II and III opioids, barbiturates, and stimulants to veterinary educational institutions in the United States. Design: Longitudinal study. Sample: Veterinary teaching institutions that use Schedule II and III drugs. Procedures: Distribution of controlled substances to veterinary teaching institutions was obtained from the Drug Enforcement Administration's Automated Reports and Consolidated Orders System (ARCOS) for opioids (e.g., methadone, fentanyl, codeine), barbiturates (pentobarbital, butalbital), and stimulants (amphetamine, methylphenidate, lisdexamfetamine) from 2006-2019. Opioids were converted to their morphine milligram equivalents (MME) for evaluation over time. Results: Controlled substance distribution to veterinary schools exhibited dynamic, and agent specific, changes. The total MME for 11 opioids peaked in 2013 and decreased by 17.3% in 2019. Methadone accounted for two-fifths (42.3%) and fentanyl over one-third (35.4%) of the total MME in 2019. Pentobarbital distribution was greatest by weight of all substances studied and peaked in 2011 at 69.4 kg. Stimulants underwent a pronounced decline and were very modest by 2014. Conclusions and Clinical Relevance: Opioids by total MME in veterinary teaching practice have undergone more modest changes than opioids used with humans. Hydrocodone, codeine and recently fentanyl use have declined while methadone increased. Stimulant distribution decreased to become negligible. Together, this pattern of findings warrant continued monitoring.

SUBMITTER: Piper BJ

PROVIDER: S-EPMC7775551 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Assessment of Controlled Substance Distribution to U.S. Veterinary Teaching Institutions From 2006 to 2019.

Piper Brian J BJ McCall Kenneth L KL Kogan Lori R LR Hellyer Peter P

Frontiers in veterinary science 20201218

Objective: To evaluate the changing pattern of distribution of Schedule II and III opioids, barbiturates, and stimulants to veterinary educational institutions in the United States. Design: Longitudinal study. Sample: Veterinary teaching institutions that use Schedule II and III drugs. Procedures: Distribution of controlled substances to veterinary teaching institutions was obtained from the Drug Enforcement Administration's Automated Reports and Consolidated Orders S ...[more]

PMID: 33392300

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Project description:ImportanceTobacco use is highly concentrated in persons with mental illness.ObjectivesTo assess trends in past-month prevalence of cigarette smoking among adults with vs without past-year depression, substance use disorders (SUDs), or both, using nationally representative data.Design, setting, and participantsExploratory, serial, cross-sectional study based on data from 558 960 individuals aged 18 years or older who participated in the 2006-2019 US National Surveys on Drug Use and Health.ExposurePast-year major depressive episode (MDE) and SUD using Diagnostic and Statistical Manual of Mental Disorders (Fourth Edition, Text Revision) criteria.Main outcomes and measuresPast-month self-reported cigarette use, adjusted for sociodemographic characteristics.ResultsOf the sampled 558 960 adults, 41.4% (unweighted) were aged 18 to 25 years, 29.8% (unweighted) were aged 26 to 49 years, and 53.4% (unweighted) were women. From 2006 to 2019, the past-month self-reported cigarette smoking prevalence declined significantly among adults with MDE from 37.3% to 24.2% for an average annual percent change of -3.2 (95% CI, -3.5 to -2.8; P < .001), adults with SUD from 46.5% to 35.8% for an average annual percent change of -1.7 (95% CI, -2.8 to -0.6; P = .002), and adults with co-occurring MDE and SUD from 50.7% to 37.0% for an annual average annual percent change of -2.1 (95% CI, -3.1 to -1.2; P < .001). The prevalence declined significantly for each examined age, sex, and racial and ethnic subgroup with MDE and with SUD (all P < .05), except for no significant changes in American Indian or Alaska Native adults with MDE (P = .98) or with SUD (P = .46). Differences in prevalence of cigarette smoking between adults with vs without MDE declined significantly for adults overall from 11.5% to 6.6%, for an average annual percent change of -3.4 (95% CI, -4.1 to -2.7; P < .001); significant average annual percent change declines were also seen for men (-5.1 [95% CI, -7.2 to -2.9]; P < .001); for women (-2.7 [95% CI, -3.9 to -1.5]; P < .001); for those aged 18 through 25 years (-5.2 [95% CI, -7.6 to -2.8]; P < .001); for those aged 50 years or older (-4.7 [95% CI, -8.0 to -1.2]; P = .01); for Hispanic individuals (-4.4 [95% CI, -8.0 to -0.5]; P = .03), and for White individuals (-3.6 [95% CI, -4.5 to -2.7]; P < .001). For American Indian or Alaska Native adults, prevalence did not significantly differ between those with vs without MDE during 2006-2012 but was significantly higher for those with MDE during 2013-2019 (difference, 11.3%; 95% CI, 0.9 to 21.7; P = .04). Differences among those with vs without SUD declined for women for an average annual percent change of -1.8 (95% CI, -2.8 to -0.9; P = .001).Conclusions and relevanceIn this exploratory, serial, cross-sectional study, there were significant reductions in the prevalence of self-reported cigarette smoking among US adults with major depressive episode, substance use disorder, or both, between 2006 and 2019. However, continued efforts are needed to reduce the prevalence further.

Project description:To establish the feasibility of empirically testing crisis standards of care guidelines.DesignRetrospective single-center study.SettingICUs at a large academic medical center in the United States.SubjectsAdult, critically ill patients admitted to ICU, with 27 patients admitted for acute respiratory failure due to coronavirus disease 2019 and 37 patients admitted for diagnoses other than coronavirus disease 2019.InterventionsReview of electronic health record.Measurements and main resultsMany U.S. states released crisis standards of care guidelines with algorithms to allocate scarce healthcare resources during the coronavirus disease 2019 pandemic. We compared state guidelines that represent different approaches to incorporating disease severity and comorbidities: New York, Maryland, Pennsylvania, and Colorado. Following each algorithm, we calculated priority scores at the time of ICU admission for a cohort of patients with primary diagnoses of coronavirus disease 2019 and diseases other than coronavirus disease 2019 (n = 64). We assessed discrimination of 28-day mortality by area under the receiver operating characteristic curve. We simulated real-time decision-making by applying the triage algorithms to groups of two, five, or 10 patients. For prediction of 28-day mortality by priority scores, area under the receiver operating characteristic curve was 0.56, 0.49, 0.53, 0.66, and 0.69 for New York, Maryland, Pennsylvania, Colorado, and raw Sequential Organ Failure Assessment score algorithms, respectively. For groups of five patients, the percentage of decisions made without deferring to a lottery were 1%, 57%, 80%, 88%, and 95% for New York, Maryland, Pennsylvania, Colorado, and raw Sequential Organ Failure Assessment score algorithms, respectively. The percentage of decisions made without lottery was higher in the subcohort without coronavirus disease 2019, compared with the subcohort with coronavirus disease 2019.ConclusionsInclusion of comorbidities does not consistently improve an algorithm's performance in predicting 28-day mortality. Crisis standards of care algorithms result in a substantial percentage of tied priority scores. Crisis standards of care algorithms operate differently in cohorts with and without coronavirus disease 2019. This proof-of-principle study demonstrates the feasibility and importance of empirical testing of crisis standards of care guidelines to understand whether they meet their goals.

Project description:BackgroundThis research examines the ways in which higher education institutions (HEIs) across the tropEd Network for Education in International Health (tropEd) began to adapt their teaching and learning approaches in response to the COVID-19 pandemic in 2020. Already during this early phase of the pandemic HEIs' responses demonstrate global health approaches emphasising cooperation and communication, rather than national health driven strategies that emphasise quarantine and control. Key lessons learnt for multiple dimensions of teaching and learning in global health are thus identified, and challenges and opportunities discussed.MethodsData collection includes a cross-sectional online survey among tropEd member institutions (n = 19) in mid-2020, and a complementary set of open-ended questions generating free-text responses (n = 9). Quantitative data were analysed using descriptive statistics, textual data were analysed using a Framework Analysis approach.ResultsWhile early on in the pandemic the focus was on a quick emergency switch to online teaching formats to ensure short-term continuity, and developing the administrative and didactic competence and confidence in digital teaching, there is already recognition among HEIs of the necessity for more fundamental quality and longer-term reforms in higher education in global health. Alongside practical concerns about the limitations of digital teaching, and declines in student numbers, there is a growing awareness of opportunities in terms of inclusivity, the necessity of cross-border cooperation, and a global health approach. The extent to which the lack of physical mobility impacts HEI programmes in global health is debated.ConclusionThe COVID-19 pandemic has brought about preventive measures that have had a considerable impact on various dimensions of academic teaching in global health. Going forward, international HEIs' experiences and response strategies can help generate important lessons for academic institutions across different settings worldwide.

Dataset Information

Assessment of Controlled Substance Distribution to U.S. Veterinary Teaching Institutions From 2006 to 2019.

Publications

Assessment of Controlled Substance Distribution to U.S. Veterinary Teaching Institutions From 2006 to 2019.

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