Dataset Information

A joint spatial model of opioid-associated deaths and treatment admissions in Ohio.

ABSTRACT: PURPOSE:Opioid misuse is a national epidemic, and Ohio is one of the states most impacted by this crisis. Ohio collects county-level counts of opioid-associated deaths and treatment admissions. We jointly model these two outcomes and assess the association of each rate with social and structural factors. METHODS:We use a joint spatial rates model of death and treatment counts using a generalized common spatial factor model. In addition to covariate effects, we estimate a spatial factor for each county that characterizes structural factors not accounted for by other covariates in the model that are associated with both outcomes. RESULTS:We observed an association of health professional shortage area with death rates and the rate of people 18-64 on disability with treatment rates. The proportion of single female households was associated with both outcomes. We estimated the presence of unmeasured risk factors in the southwestern part of the state and unmeasured protective factors in the eastern region. CONCLUSIONS:We described associations of social and structural covariates with the death and treatment rates. We also characterized counties with latent risk that can provide a launching point for future investigations to determine potential sources of that risk.

SUBMITTER: Kline D

PROVIDER: S-EPMC6502680 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature

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A joint spatial model of opioid-associated deaths and treatment admissions in Ohio.

Kline David D Hepler Staci S Bonny Andrea A McKnight Erin E

Annals of epidemiology 20190312

<h4>Purpose</h4>Opioid misuse is a national epidemic, and Ohio is one of the states most impacted by this crisis. Ohio collects county-level counts of opioid-associated deaths and treatment admissions. We jointly model these two outcomes and assess the association of each rate with social and structural factors.<h4>Methods</h4>We use a joint spatial rates model of death and treatment counts using a generalized common spatial factor model. In addition to covariate effects, we estimate a spatial f ...[more]

PMID: 30948153

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Project description:IntroductionOpioid overdose deaths quintupled in Massachusetts between 2000 and 2016. Potentially inappropriate opioid prescribing practices (PIP) are associated with increases in overdoses. The purpose of this study was to conduct spatial epidemiological analyses of novel comprehensively linked data to identify overdose and PIP hotspots.MethodsSixteen administrative datasets, including prescription monitoring, medical claims, vital statistics, and medical examiner data, covering >98% of Massachusetts residents between 2011-2015, were linked in 2017 to better investigate the opioid epidemic. PIP was defined by six measures: ≥100 morphine milligram equivalents (MMEs), co-prescription of benzodiazepines and opioids, cash purchases of opioid prescriptions, opioid prescriptions without a recorded pain diagnosis, and opioid prescriptions through multiple prescribers or pharmacies. Using spatial autocorrelation and cluster analyses, overdose and PIP hotspots were identified among 538 ZIP codes.ResultsMore than half of the adult population (n = 3,143,817, ages 18 and older) were prescribed opioids. Nearly all ZIP codes showed increasing rates of overdose over time. Overdose clusters were identified in Worcester, Northampton, Lee/Tyringham, Wareham/Bourne, Lynn, and Revere/Chelsea (Getis-Ord Gi*; p < 0.05). Large PIP clusters for ≥100 MMEs and prescription without pain diagnosis were identified in Western Massachusetts; and smaller clusters for multiple prescribers in Nantucket, Berkshire, and Hampden Counties (p < 0.05). Co-prescriptions and cash payment clusters were localized and nearly identical (p < 0.05). Overlap in PIP and overdose clusters was identified in Cape Cod and Berkshire County. However, we also found contradictory patterns in overdose and PIP hotspots.ConclusionsOverdose and PIP hotspots were identified, as well as regions where the two overlapped, and where they diverged. Results indicate that PIP clustering alone does not explain overdose clustering patterns. Our findings can inform public health policy decisions at the local level, which include a focus on PIP and misuse of heroin and fentanyl that aim to curb opioid overdoses.

Project description:BackgroundOpioid-related mortality is high and increasing in the Western world, and interventions aimed at reducing opioid-related deaths represent an important area of study. In Skåne County, Sweden, a patient choice reform resulted in increased access to opioid substitution treatment (OST). In addition, a gradual shift towards less restrictive terms for exclusion from OST has been implemented. The aim of this study was to assess the impact of these policy changes on opioid-related deaths.MethodsDetailed data on opioid-related deaths in Skåne during the 2 years prior to and following the policy change were obtained from forensic records and from health care services. Data on overdose deaths for Skåne and the rest of Sweden were obtained using publicly available national register data. Time periods were used as the predictor for opioid-related deaths in the forensic data. The national level data were used in a natural experiment design in which rates of overdose deaths were compared between Skåne and the rest of Sweden before and after the intervention.ResultsThere was no significant difference in the number of deaths in Skåne between the data collection periods (RR: 1.18 95% CI:0.89-1.57, p= 0.251). The proportion of deaths among patients enrolled in OST increased between the two periods (2.61, 1.12-6.10, p= 0.026). There was no change in deaths related to methadone or buprenorphine in relation to deaths due to the other opioids included in the study (0.92, 0.51-1.63, p= 0.764). An analysis of national mortality data showed an annual relative decrease in unintentional drug deaths in Skåne compared to the rest of Sweden following the onset of the reform (0.90, 0.84-0,97, p= 0.004).ConclusionsOpioid-related deaths, as assessed using forensic data, has not changed significantly in Skåne following a change to lower-threshold OST. By contrast, national level data indicate that the policy change has been associated with decreased overdose deaths. The discrepancy between these results highlights the need for more research to elucidate this issue. The result that more patients die during ongoing OST following an increase in access to treatment underlines the need for further preventive interventions within the OST treatment setting.

Project description:ImportanceData suggest that the opioid crisis in North America has recently been reflected in opioid-related mortality among youths. Despite recommendation for its use, youths encounter barriers to accessing OAT, including stigma, burden of witnessed dosing, and lack of availability of youth-oriented services and prescribers comfortable treating this population.ObjectiveTo compare rates of opioid agonist treatment (OAT) and opioid-related mortality between youths aged 15 to 24 years and adults aged 25 to 44 years in Ontario, Canada, over time.Design, setting, and participantsThis cross-sectional analysis of rates of OAT and opioid-related deaths between 2013 and 2021 used data obtained from the Ontario Drug Policy Research Network, Public Health Ontario, and Statistics Canada. Individuals included in the analysis were aged 15 to 44 years and residing in Ontario, the most populous province in Canada.ExposuresYouths aged 15 to 24 years compared with adults aged 25 to 44 years.Main outcomes and measuresOAT (methadone, buprenorphine, and slow-release oral morphine) per 1000 population and opioid-related deaths per 100 000 population.ResultsBetween 2013 and 2021, 1021 youths aged 15 to 24 years died from opioid toxicity; 710 were male (69.5%). In the final year of the study period, 225 youths (146 male [64.9%]) died from opioid toxicity, and 2717 (1494 male [55.0%]) were dispensed OAT. Over the study period, the rate of opioid-related deaths among youths in Ontario increased 369.2% from 2.6 to 12.2 per 100 000 population (48 to 225 total deaths) and the rate of OAT use decreased 55.9% from 3.4 to 1.5 per 1000 (6236 to 2717 individuals). For adults aged 25 to 44 years, the rate of opioid-related deaths increased 371.8% from 7.8 to 36.8 per 100 000 (283 to 1502 deaths), and the rate of OAT increased 27.8% from 7.9 to 10.1 per 1000 population (28 667 to 41 200 individuals). Trends for youths and adults persisted across both sexes.Conclusions and relevanceThe findings of this study suggest that opioid-related deaths are increasing among youths while OAT use is paradoxically declining. The reasons for these observed trends require further investigation, including a consideration of changing trends in opioid use and opioid use disorder among youths, barriers to OAT, and opportunities to optimize care and reduce harms for youths who use substances.

Dataset Information

A joint spatial model of opioid-associated deaths and treatment admissions in Ohio.

Publications

A joint spatial model of opioid-associated deaths and treatment admissions in Ohio.

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