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Browsing by Author "Cohen, Alex"
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Item Evaluation of an emergency department-based opioid overdose survivor intervention: Difference-in-difference analysis of electronic health record data to assess key outcomes(Elsevier, 2021) Watson, Dennis P.; Weathers, Tess; McGuire, Alan; Cohen, Alex; Huynh, Philip; Bowes, Clay; O’Donnell, Daniel; Brucker, Krista; Gupta, Sumedha; Social and Behavioral Sciences, School of Public HealthBackground: In recent years, a number of emergency department (ED)-based interventions have been developed to provide supports and/or treatment linkage for people who use opioids. However, there is limited research supporting the effectiveness of the majority of these interventions. Project POINT is an ED-based intervention aimed at providing opioid overdose survivors with naloxone and recovery supports and connecting them to evidence-based medications for opioid use disorder (MOUD). An evaluation of POINT was conducted. Methods: A difference-in-difference analysis of electronic health record data was completed to understand the difference in outcomes for patients admitted to the ED when a POINT staff member was working versus times when they were not. The observation window was January 1, 2012 to July 6, 2019, which included N = 1462 unique individuals, of which 802 were in the POINT arm. Outcomes of focus include MOUD opioid prescriptions dispensed, active non-MOUD opioid prescriptions dispensed, naloxone access, and drug poisonings. Results: The POINT arm had a significant increase in MOUD prescriptions dispensed, non-MOUD prescriptions dispensed, and naloxone access (all p-values < 0.001). There was no significant effect related to subsequent drug poisoning-related hospital admissions. Conclusions: The results support the assertion that POINT is meeting its two primary goals related to increasing naloxone access and connecting patients to MOUD. Generalization of these results is limited; however, the evaluation contributes to a nascent area of research and can serve a foundation for future work.Item Replication of an emergency department-based recovery coaching intervention and pilot testing of pragmatic trial protocols within the context of Indiana's Opioid State Targeted Response plan(Elsevier, 2019) Watson, Dennis P.; Brucker, Krista; McGuire, Alan; Snow-Hill, Nyssa L.; Xu, Huiping; Cohen, Alex; Campbell, Mark; Robison, Lisa; Sightes, Emily; Buhner, Rebecca; O'Donnell, Daniel; Kline, Jeffrey A.; Psychology, School of ScienceSolving the opioid crisis requires immediate, innovative, and sustainable solutions. A number of promising strategies are being carried out by U.S. states and territories as part of their Opioid State Targeted Response (STR) plans funded through the 21st Century Cures Act, and they provide an opportunity for researchers to assess effectiveness of these interventions using pragmatic approaches. This paper describes a pilot study of Project Planned Outreach, Intervention, Naloxone, and Treatment (POINT), the intervention that served as the basis for Indiana's STR-funded, emergency department (ED)-based peer specialist expansion that was conducted in preparation for a larger, multisite pragmatic trial. Through the pilot, we identified, documented, and corrected for challenges encountered while implementing planned study protocols. Per the project's funding mechanism, the ability to move to the larger trial was determined by the achievement of 3 milestones: (1) successful replication of the intervention; (2) demonstrated ability to obtain the necessary sample size; and (3) observe a higher level of engagement in medication for addiction treatment in the POINT group compared to standard care. Overall implementation of the study protocols was successful, with only minor refinements to proposed procedures being required in light of challenges with (1) data access, (2) recruitment, and (3) identification of the expansion hospitals. All three milestones were reached. Challenges in implementing protocols and reaching milestones resulted in refinements that improved the study design overall. The subsequent trial will add to the limited but growing evidence on ED-based peer supports. Capitalizing on STR efforts to study an already scaling and promising intervention is likely to lead to faster and more sustainable results with greater generalizability than traditional, efficacy-focused clinical research.Item Validating Imputation Procedures to Calculate Corrected Opioid-Involved Overdose Deaths, Marion County, Indiana, 2011-2016(Sage, 2020-01) Gupta, Sumedha; Cohen, Alex; Lowder, Evan M.; Ray, Bradley R.; Economics, School of Liberal ArtsObjectives: Understanding the scope of the current opioid epidemic requires accurate counts of the number of opioid-involved drug overdose deaths. Given known errors and limitations in the reporting of these deaths, several studies have used statistical methods to develop estimates of the true number of opioid-involved overdose deaths. This study validates these procedures using a detailed county-level database of linked toxicology and vital records data. Methods: We extracted and linked toxicology and vital records data from Marion County, Indiana (Indianapolis), during a 6-year period (2011-2016). Using toxicology data as a criterion measure, we tested the validity of multiple imputation procedures, including the Ruhm regression-based imputation approach for correcting the number of opioid-involved overdose deaths. Results: Estimates deviated from true opioid-involved overdose deaths by 3% and increased in accuracy during the study period (2011-2016). For example, in 2016, 231 opioid-involved overdose deaths were noted in the toxicology data, whereas the corresponding imputed estimate was 233 opioid-involved overdose deaths. A simple imputation approach, based on the share of opioid-involved overdose deaths among all drug overdose deaths for which the death certificate specified ≥1 drug, deviated from true opioid-involved overdose deaths by ±5%. Conclusions: Commonly used imputation procedures produced estimates of the number of opioid-involved overdose deaths that are similar to the true number of opioid-involved overdose deaths obtained from toxicology data. Although future studies should examine whether these results extend beyond the geographic area covered in our data set, our findings support the continued use of these imputation procedures to quantify the extent of the opioid epidemic.