Optimizing Appropriate Disposal of Unused Postoperative Opioid: What Happens to Unused Medication?

BACKGROUND: Increase in opioid prescribing practices has occurred with concurrent increases in the levels of abuse, addiction, and diversion of opioid pain medication. With 82.5 opioid prescriptions prescribed for every 100 U.S. citizens, the need for more effective strategies aimed at improving opioid disposal exist. Our study sought to examine the planned rates of appropriate opioid disposal after introduction of an activated charcoal home drug disposal system (Deterra®) in combination with formalized opioid disposal education. METHODS: Participants were recruited from an academic, public safety-net hospital and grouped into 3 cohorts, no formalized opioid disposal education (No Education), written and verbal patient education on appropriate opioid disposal (Education), and Deterra® in addition to formalized opioid disposal education (Deterra). Outcomes included patients reporting unacceptable methods of opioid disposal, storage of unused opiates, and patient satisfaction with disposal instructions. RESULTS: Reported unacceptable opioid disposal decreased from 80.6% (n = 87) in the no education group to 20% (n = 10) in the education group to 6% (n = 3) in the Deterra group (P < .001). Education decreased long-term storage of opioid medication after completion of usage from 42% (n = 36) to 2% (n = 1), P < .001. Between the education and Deterra groups, more patients felt that the disposal instructions were clear (94% (n = 47) vs 73% (n = 36), P = .006) and more followed acceptable disposal instructions (80% (n = 39) vs 94% (n = 47) P < .001). CONCLUSION: Deterra® along with formal opioid disposal education increases patients reporting plans for compliance with appropriate opioid disposal.

Dedifferentiation within well-differentiated liposarcoma of the extremity or trunk: Implications for clinical management.

BACKGROUND: In extremity or trunk liposarcoma, the implications of a dedifferentiated (DD) component within a well-differentiated (WD) tumor are unclear. We evaluated outcomes after surgery and identified potential predictors of survival in these patients compared to those with an entirely WD tumor. METHODS: Retrospective data were collected for patients who underwent complete resection from 2009 to 2019. Cumulative incidences of local recurrence (LR) and distant metastasis (DM) were calculated, and overall survival (OS) was estimated. Associations between OS and clinicopathologic variables were evaluated by univariable models. RESULTS: A total of 210 patients with MDM2-verified tumors were studied, including 58 (27.6%) with DD. In primary disease, LR occurred only in DD and worse OS was observed versus WD (p < 0.001). In recurrent disease, the LR incidences were similar between WD and DD (p = 0.559); however, worse OS persisted in DD (p = 0.004). The incidence of DM was extremely low (3.8%) and limited to DD. Higher grade (p < 0.001) and DD size (p = 0.043), but not overall tumor size were associated with worse OS. CONCLUSIONS: In extremity or trunk liposarcoma, the presence of DD leads to significantly worse outcomes in both primary and recurrence diseases. Further study is needed to determine if these patients benefit from adjunct therapies (e.g., radiation).

COVID-19 Impact on Colorectal Daily Practice-How Long Will It Take to Catch Up?

BACKGROUND: All elective surgeries have been postponed at our institution starting 3/16/20 due to the COVID-19 pandemic. We assessed changes in hospital resource utilization and estimated the future backlog of cases in the colorectal surgery division of a large safety-net hospital. METHODS: Patients undergoing colorectal procedures from 3/16/20 to 4/23/20 (COVID) were compared with those from January through June 2018 (historical). Resource utilization rates were calculated by weekly case volumes and hospital stay in each group. A future catch up timeframe and new wait times from scheduling to surgery dates were calculated. RESULTS: The COVID and historical groups included 13 and 239 patients, respectively. The COVID group showed a 74% relative decrease in weekly surgical case rates (9.2 to 2.4 patients per week). Both groups had similar lengths of stay. The COVID group had a longer average ICU stay (1.4 ± 2.5 days vs. 0.4 ± 1.2 days, P = 0.016) and a 132% increase in ICU resource utilization. Overall, the COVID group had a 48% relative decrease in hospital resource utilization, owing to reduced volume but higher acuity. If the surgery numbers returns to pre-COVID volumes, the calculated "catch up" times range from 4.6 weeks to 9.2 weeks. Wait times for new cases may increase by 70% compared with pre-COVID levels. CONCLUSION: Cancelling elective colorectal surgeries results in a decrease in overall but increase in ICU-specific resource utilization. Though necessary, cancellations result in an increasing backlog of cases that poses significant future logistical and clinical challenges in an already overburdened safety-net hospital. Effective triage systems will be critical to prioritize this backlog.

Unexpected Neighborhood Sources of Food and Drink: Implications for Research and Community Health.

INTRODUCTION: Studies of neighborhood food environments typically focus on select stores (especially supermarkets) and/or restaurants (especially fast-food outlets), make presumptions about healthfulness without assessing actual items for sale, and ignore other kinds of businesses offering foods/drinks. The current study assessed availability of select healthful and less-healthful foods/drinks from all storefront businesses in an urban environment and considered implications for food-environment research and community health. METHODS: Cross-sectional assessment in 2013 of all storefront businesses (n=852) on all street segments (n=1,253) in 32 census tracts of the Bronx, New York. Investigators assessed for healthful items (produce, whole grains, nuts, water, milk) and less-healthful items (refined sweets, salty/fatty fare, sugar-added drinks, and alcohol), noting whether items were from food businesses (e.g., supermarkets and restaurants) or other storefront businesses (OSB, e.g., barber shops, gyms, hardware stores, laundromats). Data were analyzed in 2017. RESULTS: Half of all businesses offered food/drink items. More than one seventh of all street segments (more than one third in higher-poverty census tracts) had businesses selling food/drink. OSB accounted for almost one third of all businesses offering food/drink items (about one quarter of businesses offering any healthful items and more than two thirds of businesses offering only less-healthful options). CONCLUSIONS: Food environments include many businesses not primarily focused on selling foods/drinks. Studies that do not consider OSB may miss important food/drink sources, be incomplete and inaccurate, and potentially misguide interventions. OSB hold promise for improving food environments and community health by offering healthful items; some already do.