300 Participants Needed

Research-to-Policy Collaboration for Addiction Prevention

DM
JT
Overseen ByJennifer T Scott, Ph.D
Age: Any Age
Sex: Any
Trial Phase: Academic
Sponsor: Penn State University
No Placebo GroupAll trial participants will receive the active study treatment (no placebo)

What You Need to Know Before You Apply

What is the purpose of this trial?

This trial aims to assist policymakers in using scientific research to develop better policies for preventing substance misuse. It tests the Research-to-Policy Collaboration (RPC) Model, which connects researchers with state officials to promote evidence-based decision-making. By enhancing policy-making processes, the trial hopes to reduce substance misuse issues at the community level. The trial seeks state-level public officials to participate. As an unphased trial, participants can contribute to pioneering efforts that shape effective policy-making.

Will I have to stop taking my current medications?

The trial does not specify whether participants need to stop taking their current medications.

What prior data suggests that the Research-to-Policy Collaboration (RPC) Model is safe for use in policymaking?

Research has shown that the Research-to-Policy Collaboration (RPC) Model effectively connects researchers with policymakers. This model has been tested in various situations, highlighting its benefits and challenges. No safety concerns exist because it doesn't involve drugs or medical procedures; it focuses on sharing information. Without physical treatment, participants face no risk of physical harm. The goal is to enhance the collaboration between research and policy to help prevent substance misuse.12345

Why are researchers excited about this trial?

Researchers are excited about the Research-to-Policy Collaboration (RPC) Model because it offers a novel approach to addiction prevention by directly involving legislative offices in the process. Unlike traditional treatments for addiction that focus on individual or community-based interventions, the RPC Model aims to bridge the gap between research and policy, ensuring that evidence-based practices are more effectively integrated into legislative decision-making. This method has the potential to create systemic change by influencing policies that can lead to broader, long-term impacts on addiction prevention efforts.

What evidence suggests that the Research-to-Policy Collaboration Model is effective for substance misuse prevention?

Studies have shown that the Research-to-Policy Collaboration (RPC) Model can increase policy engagement by 55%. This model facilitates effective collaboration between researchers and policymakers, enabling the use of scientific evidence in lawmaking. In this trial, some legislative offices will receive the full RPC Model intervention, while others will serve as a control group without it. The Texas RPC Project found this approach both effective and cost-efficient in building strong connections between researchers and lawmakers. By applying addiction research to real-world situations, the RPC Model can lead to improved prevention programs and policies. This ultimately aims to reduce substance misuse by ensuring that policymaking is guided by the latest scientific findings.12346

Are You a Good Fit for This Trial?

This trial is for state-level policymakers involved in substance misuse prevention policy. It aims to improve the use of scientific evidence in policymaking, potentially increasing the availability of evidence-based programs and policies.

Inclusion Criteria

State-level public officials

Exclusion Criteria

Anyone who is not a state-level public official

Timeline for a Trial Participant

Screening

Participants are screened for eligibility to participate in the trial

2-4 weeks

Intervention

Implementation of the Research-to-Policy Collaboration (RPC) Model to support policymakers' use of scientific evidence

6 months
Ongoing engagement with policymakers

Follow-up

Participants are monitored for changes in engagement and use of research evidence in policymaking

6 months

What Are the Treatments Tested in This Trial?

Interventions

  • Research-to-Policy Collaboration (RPC) Model
Trial Overview The study tests a formal approach called the Research-to-Policy Collaboration (RPC) Model against a control group, using a randomized controlled trial with 30 states to see if it effectively supports policymakers' use of research evidence.
How Is the Trial Designed?
2Treatment groups
Experimental Treatment
Active Control
Group I: Intervention GroupExperimental Treatment1 Intervention
Group II: Control GroupActive Control1 Intervention

Find a Clinic Near You

Who Is Running the Clinical Trial?

Penn State University

Lead Sponsor

Trials
380
Recruited
131,000+

National Institute on Drug Abuse (NIDA)

Collaborator

Trials
2,658
Recruited
3,409,000+

Published Research Related to This Trial

A survey of 101 Australian researchers revealed a strong preference for a balanced funding approach (50/50) between agency-directed and researcher-initiated addiction research, with a focus on alcohol (32%) and tobacco (18%) as top priorities for research spending.
Researchers identified significant barriers to prevention research, particularly the complexities of design and methodology, and emphasized the need for increased funding, collaboration, and political support to enhance research efforts in this area.
Researchers' views about priorities for research on alcohol, tobacco and other drugs.Walsh, RA., Low, A., Sanson-Fisher, RW.[2005]
Research conducted between 1991 and 2001 by the National Drug and Alcohol Research Centre highlighted the growing issue of heroin dependence in Australia, which increased to around 100,000 users by the late 1990s.
The findings from this research contributed to the policy discussions regarding the potential for a controlled trial of heroin prescription, emphasizing the complex relationship between research outcomes and drug policy formulation.
The contribution of research to Australian policy responses to heroin dependence 1990-2001: a personal retrospection.Hall, W.[2007]
The paper emphasizes the importance of translating research findings from addiction studies into practical applications for treatment programs, which can enhance program outcomes.
It discusses the development of an outcomes management system that utilizes evidence-based decision support to predict patient responses and reduce dropout rates in addiction treatment, highlighting its potential impact on improving treatment effectiveness.
Translating addictions research into evidence-based practice: the Polaris CD outcomes management system.Toche-Manley, L., Grissom, G., Dietzen, L., et al.[2021]

Citations

How substance use prevention research gets used in ...The aim of the present study was to explore how research was used in United States federal legislation that emphasized SU/SUD prevention.
Research-to-Policy Collaboration for Addiction PreventionThe effectiveness of the RPC Model treatment for addiction prevention is indirectly supported by research on translating addiction studies into practice ...
Research-to-Policy CollaborationResearchers randomly assigned to the RPC model also report a 55% increase in policy engagement, improved knowledge of lobbying rules, and a ...
Translating prevention research for evidence-based ...This work reports on the feasibility of a model for overcoming these barriers—known as the Research-to-Policy Collaboration (RPC) ...
The Texas Research-to-Policy Collaboration ProjectResults illustrated the efficacy and cost-effectiveness of this model for fostering personal connections between researchers and policymakers ...
Research-to-Policy CollaborationThe RPC model has undergone extensive experimental testing to determine its value for both legislative and researcher participants.
Unbiased ResultsWe believe in providing patients with all the options.
Your Data Stays Your DataWe only share your information with the clinical trials you're trying to access.
Verified Trials OnlyAll of our trials are run by licensed doctors, researchers, and healthcare companies.
Terms of Service·Privacy Policy·Cookies·Security