Dataset Information

The opioid crisis: a contextual, social-ecological framework.

ABSTRACT: The prevalence of opioid use and misuse has provoked a staggering number of deaths over the past two and a half decades. Much attention has focused on individual risks according to various characteristics and experiences. However, broader social and contextual domains are also essential contributors to the opioid crisis such as interpersonal relationships and the conditions of the community and society that people live in. Despite efforts to tackle the issue, the rates of opioid misuse and non-fatal and fatal overdose remain high. Many call for a broad public health approach, but articulation of what such a strategy could entail has not been fully realised. In order to improve the awareness surrounding opioid misuse, we developed a social-ecological framework that helps conceptualise the multivariable risk factors of opioid misuse and facilitates reviewing them in individual, interpersonal, communal and societal levels. Our framework illustrates the multi-layer complexity of the opioid crisis that more completely captures the crisis as a multidimensional issue requiring a broader and integrated approach to prevention and treatment.

SUBMITTER: Jalali MS

PROVIDER: S-EPMC7409444 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature

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The opioid crisis: a contextual, social-ecological framework.

Jalali Mohammad S MS Botticelli Michael M Hwang Rachael C RC Koh Howard K HK McHugh R Kathryn RK

Health research policy and systems 20200806 1

The prevalence of opioid use and misuse has provoked a staggering number of deaths over the past two and a half decades. Much attention has focused on individual risks according to various characteristics and experiences. However, broader social and contextual domains are also essential contributors to the opioid crisis such as interpersonal relationships and the conditions of the community and society that people live in. Despite efforts to tackle the issue, the rates of opioid misuse and non-f ...[more]

PMID: 32762700

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Project description:BackgroundSocial media are considered promising and viable sources of data for gaining insights into various disease conditions and patients' attitudes, behaviors, and medications. They can be used to recognize communication and behavioral themes of problematic use of prescription drugs. However, mining and analyzing social media data have challenges and limitations related to topic deduction and data quality. As a result, we need a structured approach to analyze social media content related to drug abuse in a manner that can mitigate the challenges and limitations surrounding the use of such data.ObjectiveThis study aimed to develop and evaluate a framework for mining and analyzing social media content related to drug abuse. The framework is designed to mitigate challenges and limitations related to topic deduction and data quality in social media data analytics for drug abuse.MethodsThe proposed framework started with defining different terms related to the keywords, categories, and characteristics of the topic of interest. We then used the Crimson Hexagon platform to collect data based on a search query informed by a drug abuse ontology developed using the identified terms. We subsequently preprocessed the data and examined the quality using an evaluation matrix. Finally, a suitable data analysis approach could be used to analyze the collected data.ResultsThe framework was evaluated using the opioid epidemic as a drug abuse case analysis. We demonstrated the applicability of the proposed framework to identify public concerns toward the opioid epidemic and the most discussed topics on social media related to opioids. The results from the case analysis showed that the framework could improve the discovery and identification of topics in social media domains characterized by a plethora of highly diverse terms and lack of a commonly available dictionary or language by the community, such as in the case of opioid and drug abuse.ConclusionsThe proposed framework addressed the challenges related to topic detection and data quality. We demonstrated the applicability of the proposed framework to identify the common concerns toward the opioid epidemic and the most discussed topics on social media related to opioids.

Project description:In 2017, the U.S. Department of Health and Human Services and the White House declared a public health emergency to address the opioid crisis (Hargan, 2017). On average, 192 Americans died from drug overdoses each day in 2017; 130 (67%) of those died specifically because of opioids (Scholl et al., 2019). Since 2013, there have been significant increases in overdose deaths involving synthetic opioids - particularly those involving illicitly-manufactured fentanyl. The U.S. Drug Enforcement Administration (DEA) estimates that 75% of all opioid identifications are illicit fentanyls (DEA, 2018b). Laboratories are routinely asked to confirm which fentanyl or other opioids are involved in an overdose or encountered by first responders. It is critical to identify and classify the types of drugs involved in an overdose, how often they are involved, and how that involvement may change over time. Health care providers, public health professionals, and law enforcement officers need to know which opioids are in use to treat, monitor, and investigate fatal and non-fatal overdoses. By knowing which drugs are present, appropriate prevention and response activities can be implemented. Laboratory testing is available for clinically used and widely recognized opioids. However, there has been a rapid expansion in new illicit opioids, particularly fentanyl analogs that may not be addressed by current laboratory capabilities. In order to test for these new opioids, laboratories require reference standards for the large number of possible fentanyls. To address this need, the Centers for Disease Control and Prevention (CDC) developed the Traceable Opioid Material§ Kits product line, which provides over 150 opioid reference standards, including over 100 fentanyl analogs. These kits were designed to dramatically increase laboratory capability to confirm which opioids are on the streets and causing deaths. The kits are free to U.S based laboratories in the public, private, clinical, law enforcement, research, and public health domains.

Project description:BackgroundIn response to the opioid overdose crisis in the United States, many states implemented policies to guide opioid prescribing, but their impact on overdose mortality (prescription and non-prescription) remains poorly understood. We examined the impact of U.S. state opioid-prescribing policies on opioid overdose mortality following implementation.MethodsWe calculated opioid overdose mortality rates from 1999-2016 by U.S. state using the CDC WONDER database, overall and separately for overdose deaths from prescription and non-prescription opioids. For each state, policies active on 1/1/2014 were reviewed for the presence and strength of six provisions recommending judicious opioid prescribing practices; "strong" provisions used the words "should," "shall," or "must". Interrupted time series (ITS) tested the association of each strong provision with overdose mortality, overall and separately for prescription and non-prescription opioids, in the two years following implementation. Sensitivity analyses compared between states, used time-lagged analyses, and excluded synthetic opioids from non-prescription opioid deaths.ResultsAll six provisions had consistent direction of effect in ITS and sensitivity analyses. Strong provisions for prescriber training and limits on opioid dose reduced the slope of overall and prescription opioid overdose mortality in both ITS and sensitivity analyses. Reduced non-prescription opioid overdose mortality was only associated with strong provision for prescriber training. Some provisions had a negative impact. In ITS, strong provision for prescriber response to misuse increased the slope of non-prescription opioid overdose mortality. Strong provision for mandatory prescription drug monitoring program use had no relationship with overdose mortality in ITS and was associated with increased overall, prescription and non-prescription opioid overdose mortality in between-state sensitivity analysis.ConclusionOpioid prescribing policies in U.S. states at the peak of the prescription opioid epidemic had modest mortality benefit, and did not reduce non-prescription opioid overdose mortality. A strong provision for prescriber training was the only provision associated with reduced prescription and non-prescription opioid overdose mortality. These findings can inform future efforts addressing prescription drug epidemics.

Dataset Information

The opioid crisis: a contextual, social-ecological framework.

Publications

The opioid crisis: a contextual, social-ecological framework.

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