Data and Methods Core

数据和方法核心

基本信息

  • 批准号:
    10220920
  • 负责人:
  • 金额:
    $ 34.25万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2018
  • 资助国家:
    美国
  • 起止时间:
    2018-08-15 至 2023-07-31
  • 项目状态:
    已结题

项目摘要

ABSTRACT The opioid crisis is the result of a dynamic process that has been evolving for at least two decades. Tackling the crisis requires a multi-pronged approach that both accounts for illicit opioid markets and carefully considers contributing factors at each stage in the potential pathway from opioid initiation to opioid harms. There has been a substantial increase in research studying the effectiveness and unintended consequences of specific opioid policies and initiatives. However, the complex policy environment, rapidly evolving nature of the crisis, potential interactive effects of concurrently passed policies, as well as variation in policy implementation create significant methodological challenges for policy evaluations. To address these limitations, the objective of the COPR Data and Methods Core (DMC) is twofold: 1) build the essential infrastructure for maximizing the efficiency, consistency, and quality of the data and research throughout COPR; and 2) provide a key resource to the broader scientific community by providing the data needed for policy evaluation, supplying educational resources on necessary additional controls for understanding the opioid environment, and producing information on optimal methodological practices for evaluating opioid policies. The DMC’s multi-disciplinary team will compile multiple databases, undertake multiple causal inference techniques to help develop a set of methodological guidelines to enhance the scientific rigor of opioid policy research, and serve as a valuable resource for the development and dissemination of educational materials related to the Center’s data, methods, and tools. Databases will include findings from a comprehensive review of the literature on the effectiveness of different policy approaches to the opioid crisis, whereby our team will identify and code relevant literature through a systematic review to develop an inventory system for flagging articles of particular types (e.g., using particular causal methods, focused on a particular policy) to support understanding what is currently known and unknown about the effects of interventions aimed at addressing the crisis. We will also assess, gather, and prepare raw policy data, covariates, and outcome data on a state-by-year basis (2000- 2020); this substantial undertaking, which will result in a publicly available comprehensive data repository, will serve as a valuable resource for researchers and the broader scientific community. Leveraging these rich data sources to examine associations between policies, specific policy components, and opioid outcomes, will both provide methodological assistance to Research Projects and facilitate development and testing of new strategies for causal inference. By creating distance learning website, policy briefs, workshop materials, and training materials for the Data Library, methods, and tools coming from the DMC and COPR Projects, we will ensure broad dissemination of critical tools and information through a single resource from which data and methods can be drawn to test innovations as they are implemented at local, state, and federal levels, and to advance our understanding of best research practices and policy efforts to combat the opioid crisis.
摘要

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Rosalie Liccardo Pacula其他文献

Expansion of buprenorphine opioid agonist therapy in the United States: Facility-level factors
  • DOI:
    10.1016/j.drugalcdep.2014.09.402
  • 发表时间:
    2015-01-01
  • 期刊:
  • 影响因子:
  • 作者:
    Rosalie Liccardo Pacula;Adam J. Gordon;Andrew W. Dick;Rachel M. Burns;Carrie Farmer;Douglas Leslie;Mark Sorbero;Bradley D. Stein
  • 通讯作者:
    Bradley D. Stein
Correction to: Moving beyond the classic diferencein-diferences model: a simulation study comparing statistical methods for estimating efectiveness of state-level policies
  • DOI:
    10.1186/s12874-022-01522-y
  • 发表时间:
    2022-01-30
  • 期刊:
  • 影响因子:
    3.400
  • 作者:
    Beth Ann Grifn;Megan S. Schuler;Elizabeth A. Stuart;Stephen Patrick;Elizabeth McNeer;Rosanna Smart;David Powell;Bradley D. Stein;Terry L. Schell;Rosalie Liccardo Pacula
  • 通讯作者:
    Rosalie Liccardo Pacula
Cannabis Policies, Cannabis, and Opioids in Suicide and Undetermined Intent Death
自杀及意图不明死亡中的大麻政策、大麻与阿片类药物
  • DOI:
    10.1016/j.amepre.2024.11.009
  • 发表时间:
    2025-03-01
  • 期刊:
  • 影响因子:
    4.500
  • 作者:
    Marlene C. Lira;Rosalie Liccardo Pacula;Rosanna Smart;Seema Choksy Pessar;Jason Blanchette;Timothy S. Naimi
  • 通讯作者:
    Timothy S. Naimi
Lower-Risk Cannabis Use Guidelines (LRCUG) for reducing health harms from non-medical cannabis use: A comprehensive evidence and recommendations update
降低非医疗用大麻使用对健康危害的低风险大麻使用指南(LRCUG):全面的证据和建议更新
  • DOI:
    10.1016/j.drugpo.2021.103381
  • 发表时间:
    2022-01-01
  • 期刊:
  • 影响因子:
    4.400
  • 作者:
    Benedikt Fischer;Tessa Robinson;Chris Bullen;Valerie Curran;Didier Jutras-Aswad;Maria Elena Medina-Mora;Rosalie Liccardo Pacula;Jürgen Rehm;Robin Room;Wim van den Brink;Wayne Hall
  • 通讯作者:
    Wayne Hall

Rosalie Liccardo Pacula的其他文献

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{{ truncateString('Rosalie Liccardo Pacula', 18)}}的其他基金

Impact of Marijuana Legalization on Opioid Prescribing and Poisonings in Colorado
大麻合法化对科罗拉多州阿片类药物处方和中毒的影响
  • 批准号:
    9889931
  • 财政年份:
    2018
  • 资助金额:
    $ 34.25万
  • 项目类别:
Data and Methods Core
数据和方法核心
  • 批准号:
    10712923
  • 财政年份:
    2018
  • 资助金额:
    $ 34.25万
  • 项目类别:
Data and Methods Core
数据和方法核心
  • 批准号:
    10456848
  • 财政年份:
    2018
  • 资助金额:
    $ 34.25万
  • 项目类别:
International Alcohol Policy Model
国际酒精政策模型
  • 批准号:
    8630335
  • 财政年份:
    2014
  • 资助金额:
    $ 34.25万
  • 项目类别:
American Society of Health Economists
美国健康经济学家协会
  • 批准号:
    8719791
  • 财政年份:
    2014
  • 资助金额:
    $ 34.25万
  • 项目类别:
The RAND Alcohol Policy Platform (RAPP): A Microsimulation Model of Alcohol Use, Consequences, and Policies in the United States
兰德酒精政策平台 (RAPP):美国酒精使用、后果和政策的微观模拟模型
  • 批准号:
    9056952
  • 财政年份:
    2014
  • 资助金额:
    $ 34.25万
  • 项目类别:
International Alcohol Policy Model
国际酒精政策模型
  • 批准号:
    8848330
  • 财政年份:
    2014
  • 资助金额:
    $ 34.25万
  • 项目类别:
The RAND Alcohol Policy Platform (RAPP): A Microsimulation Model of Alcohol Use, Consequences, and Policies in the United States
兰德酒精政策平台 (RAPP):美国酒精使用、后果和政策的微观模拟模型
  • 批准号:
    9262825
  • 财政年份:
    2014
  • 资助金额:
    $ 34.25万
  • 项目类别:
Implementation of Medical Marijuana and its Impact on Health
医用大麻的实施及其对健康的影响
  • 批准号:
    8731418
  • 财政年份:
    2011
  • 资助金额:
    $ 34.25万
  • 项目类别:
Implementation of Medical Marijuana and its Impact on Health
医用大麻的实施及其对健康的影响
  • 批准号:
    8328899
  • 财政年份:
    2011
  • 资助金额:
    $ 34.25万
  • 项目类别:

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