Dataset Information

Merging statewide data in a public/university collaboration to address opioid use disorder and overdose.

ABSTRACT:

Objective

Describe methods to compile a unified database from disparate state agency datasets linking person-level data on controlled substance prescribing, overdose, and treatment for opioid use disorder in Connecticut.

Methods

A multidisciplinary team of university, state and federal agency experts planned steps to build the data analytic system: stakeholder engagement, articulation of metrics, funding to establish the system, determination of needed data, accessing data and merging, and matching patient-level data.

Results

Stakeholder meetings occurred over a 6-month period driving selection of metrics and funding was obtained through a grant from the Food and Drug Administration. Through multi-stakeholder collaborations and memoranda of understanding, we identified relevant data sources, merged them and matched individuals across the merged dataset. The dataset contains information on sociodemographics, treatments and outcomes. Step-by-step processes are presented for dissemination.

Conclusions

Creation of a unified database linking multiple sources in a timely and ongoing fashion may assist other states to monitor the public health impact of controlled substances, identify and implement interventions, and assess their effectiveness.

SUBMITTER: Becker WC

PROVIDER: S-EPMC7780404 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Merging statewide data in a public/university collaboration to address opioid use disorder and overdose.

Becker William C WC Heimer Robert R Dormitzer Catherine M CM Doernberg Molly M D'Onofrio Gail G Grau Lauretta E LE Hawk Kathryn K Lin Hsiu-Ju HJ Secora Alex M AM Fiellin David A DA

Addiction science & clinical practice 20210104 1

<h4>Objective</h4>Describe methods to compile a unified database from disparate state agency datasets linking person-level data on controlled substance prescribing, overdose, and treatment for opioid use disorder in Connecticut.<h4>Methods</h4>A multidisciplinary team of university, state and federal agency experts planned steps to build the data analytic system: stakeholder engagement, articulation of metrics, funding to establish the system, determination of needed data, accessing data and mer ...[more]

PMID: 33397480

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Project description:ImportanceGiven the high number of opioid overdose deaths in the US and the complex epidemiology of opioid use disorder (OUD), systems models can serve as a tool to identify opportunities for public health interventions.ObjectiveTo estimate the projected 3-year association between public health interventions and opioid overdose-related outcomes among persons with OUD.Design, setting, and participantsThis decision analytical model used a simulation model of the estimated US population aged 12 years and older with OUD that was developed and analyzed between January 2019 and December 2023. The model was parameterized and calibrated using 2019 to 2020 data and used to estimate the relative change in outcomes associated with simulated public health interventions implemented between 2021 and 2023.Main outcomes and measuresProjected OUD and medications for OUD (MOUD) prevalence in 2023 and number of nonfatal and fatal opioid-involved overdoses among persons with OUD between 2021 and 2023.ResultsIn a baseline scenario assuming parameters calibrated using 2019 to 2020 data remained constant, the model projected more than 16 million persons with OUD not receiving MOUD treatment and nearly 1.7 million persons receiving MOUD treatment in 2023. Additionally, the model projected over 5 million nonfatal and over 145 000 fatal opioid-involved overdoses among persons with OUD between 2021 and 2023. When simulating combinations of interventions that involved reducing overdose rates by 50%, the model projected decreases of up to 35.2% in nonfatal and 36.6% in fatal opioid-involved overdoses among persons with OUD. Interventions specific to persons with OUD not currently receiving MOUD treatment demonstrated the greatest reduction in numbers of nonfatal and fatal overdoses. Combinations of interventions that increased MOUD initiation and decreased OUD recurrence were projected to reduce OUD prevalence by up to 23.4%, increase MOUD prevalence by up to 137.1%, and reduce nonfatal and fatal opioid-involved overdoses among persons with OUD by 6.7% and 3.5%, respectively.Conclusions and relevanceIn this decision analytical model study of persons with OUD, findings suggested that expansion of evidence-based interventions that directly reduce the risk of overdose fatality among persons with OUD, such as through harm reduction efforts, could engender the highest reductions in fatal overdoses in the short-term. Interventions aimed at increasing MOUD initiation and retention of persons in treatment projected considerable improvement in MOUD and OUD prevalence but could require a longer time horizon for substantial reductions in opioid-involved overdoses.

Project description:OBJECTIVE:Although buprenorphine treatment reduces risk of overdose and death in opioid use disorder, most patients discontinue treatment within a few weeks or months. Adverse health outcomes following buprenorphine discontinuation were compared among patients who were successfully retained beyond 6 months of continuous treatment, a minimum treatment duration recently endorsed by the National Quality Forum. METHODS:A retrospective longitudinal cohort analysis was performed using the MarketScan multistate Medicaid claims database (2013-2017), covering 12 million beneficiaries annually. The sample included adults (18-64 years of age) who received buprenorphine continuously for ?180 days by cohorts retained for 6-9 months, 9-12 months, 12-15 months, and 15-18 months. For outcome assessment in the postdiscontinuation period, patients had to be continuously enrolled in Medicaid for 6 months after buprenorphine discontinuation. Primary adverse outcomes included all-cause emergency department visits, all-cause inpatient hospitalizations, opioid prescriptions, and drug overdose (opioid or non-opioid). RESULTS:Adverse events were common across all cohorts, and almost half of patients (42.1%-49.9%) were seen in the emergency department at least once. Compared with patients retained on buprenorphine for 6-9 months (N=4,126), those retained for 15-18 months (N=931) had significantly lower odds of emergency department visits (odds ratio=0.75, 95% CI=0.65-0.86), inpatient hospitalizations (odds ratio=0.79, 95% CI=0.64-0.99), and filling opioid prescriptions (odds ratio=0.67, 95% CI=0.56-0.80) in the 6 months following discontinuation. Approximately 5% of patients across all cohorts experienced one or more medically treated overdoses. CONCLUSIONS:Risk of acute care service use and overdose were high following buprenorphine discontinuation irrespective of treatment duration. Superior outcomes became significant with treatment duration beyond 15 months, although rates of the primary adverse outcomes remained high.

Project description:Background: This study sought to explore whether intervening in suspected cases of opioid overdose alters interest in treatment for opioid use disorder (OUD). Data were collected as a part of a trial comparing the effects of different overdose education and naloxone distribution (OEND) training curricula on overdose outcomes. Methods: Following OEND training, participants completed four in-person follow-up visits at 1-, 3-, 6- and 12-months. Participants were also regularly contacted to inquire about overdose events they responded to, witnessed, or experienced themselves. Other assessments included the Addiction Severity Index that queries participants' perceived importance of drug treatment on a scale of: 0 (Not at All) to 4 (Extremely). For the current secondary data analysis, treatment importance was assessed at the time points most immediately preceding and following participant intervention in an overdose event using naloxone. Results: The sample reported a mean duration of opioid use of 14.9 (± 11.5) years, with 67% having witnessed an overdose event prior to the study. Of the 321 enrolled, 92 participants used naloxone in response to 166 suspected cases of an opioid overdose. For the entire sample, mean treatment importance did not significantly change throughout the study. Among participants who utilized naloxone, treatment importance increased following the event (Before: 3.03, After: 3.39, p = 0.02). Due to the amount of time between the overdose event and assessment of post-event treatment importance (40.5 days, ±40.2), the current study most likely underestimates this effect. Conclusions: The current study suggests that responding to an overdose event increases interest in OUD treatment. Currently only considered an acute intervention to reduce overdose morbidity and mortality, OEND may have the potential to increase enrollment in medications to treat OUD. However, a prospective investigation needs to determine if the impact of an overdose event could be utilized to increase treatment engagement.

Project description:BackgroundOpioid overdose survivors have an increased risk for death. Whether use of medications for opioid use disorder (MOUD) after overdose is associated with mortality is not known.ObjectiveTo identify MOUD use after opioid overdose and its association with all-cause and opioid-related mortality.DesignRetrospective cohort study.Setting7 individually linked data sets from Massachusetts government agencies.Participants17 568 Massachusetts adults without cancer who survived an opioid overdose between 2012 and 2014.MeasurementsThree types of MOUD were examined: methadone maintenance treatment (MMT), buprenorphine, and naltrexone. Exposure to MOUD was identified at monthly intervals, and persons were considered exposed through the month after last receipt. A multivariable Cox proportional hazards model was used to examine MOUD as a monthly time-varying exposure variable to predict time to all-cause and opioid-related mortality.ResultsIn the 12 months after a nonfatal overdose, 2040 persons (11%) enrolled in MMT for a median of 5 months (interquartile range, 2 to 9 months), 3022 persons (17%) received buprenorphine for a median of 4 months (interquartile range, 2 to 8 months), and 1099 persons (6%) received naltrexone for a median of 1 month (interquartile range, 1 to 2 months). Among the entire cohort, all-cause mortality was 4.7 deaths (95% CI, 4.4 to 5.0 deaths) per 100 person-years and opioid-related mortality was 2.1 deaths (CI, 1.9 to 2.4 deaths) per 100 person-years. Compared with no MOUD, MMT was associated with decreased all-cause mortality (adjusted hazard ratio [AHR], 0.47 [CI, 0.32 to 0.71]) and opioid-related mortality (AHR, 0.41 [CI, 0.24 to 0.70]). Buprenorphine was associated with decreased all-cause mortality (AHR, 0.63 [CI, 0.46 to 0.87]) and opioid-related mortality (AHR, 0.62 [CI, 0.41 to 0.92]). No associations between naltrexone and all-cause mortality (AHR, 1.44 [CI, 0.84 to 2.46]) or opioid-related mortality (AHR, 1.42 [CI, 0.73 to 2.79]) were identified.LimitationFew events among naltrexone recipients preclude confident conclusions.ConclusionA minority of opioid overdose survivors received MOUD. Buprenorphine and MMT were associated with reduced all-cause and opioid-related mortality.Primary funding sourceNational Center for Advancing Translational Sciences of the National Institutes of Health.

Dataset Information

Merging statewide data in a public/university collaboration to address opioid use disorder and overdose.

Objective

Methods

Results

Conclusions

Publications

Merging statewide data in a public/university collaboration to address opioid use disorder and overdose.

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