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Oregon's decision makers (e.g., community service providers, public health, justice, advocacy groups, payers) are calling for comprehensive, current, and trusted data to inform how they allocate resources to improve substance use services and mitigate the growing opioid and methamphetamine epidemics in their state. Consistent with the HEAL Data2Action call for Innovation projects that drive action with data in real-world settings, this study will refine and test the impact of a novel implementation strategy to engage cross- sector decision makers and make data that they identify as relevant to their decisions available to them in easy- to-use products. The proposed study aims to not only address critical knowledge gaps regarding how and when data can inform impactful, transparent decision-making, but to provide decision makers with the data that they need to achieve community-wide substance use prevention and treatment goals, including the increased delivery of high-quality, evidence-informed, services and the prevention of overdoses.
If science is to inform effective substance misuse prevention policy and ultimately improve public health, the field needs an effective strategy for directly supporting policymakers' use of research evidence, yet our field lacks an evidence-based model designed for this purpose. Accordingly, a state-level randomized controlled trial (N = 30 states) of a formal, theory-based approach for appropriately supporting policymakers' use of scientific evidence--known as the Research-to-Policy Collaboration (RPC) Model is proposed. This work has the potential to reduce population-level substance misuse by improving the use of scientific information in policymaking, thus increasing the availability of evidence-based prevention programs and policies.
The goal of this study is to learn about the effects of structural inventions, such as equity-focused Medicaid polices, on severe maternal morbidity (SMM) and mortality and maternal health. The main questions it aims to answer are: 1. What is the effect of Medicaid healthcare quality interventions on SMM? 2. What is the effect of Medicaid healthcare quality interventions + doula care? 3. What are Medicaid beneficiaries' experiences in receiving services and the potential impact of integration of doula services and equity practices? Participants will be asked to describe experiences as a result of structural interventions and focused Medicaid policies.
This observational study will collect data and address the following three specific aims. Aim 1: To determine if the total number and specific types of safety tactics and policies are associated with the occurrence of intentional shootings in a sample of 650+ K-12 public schools. Primary Aim 1 hypothesis -- The total number of cumulative safety tactics and policies will be significantly associated with intentional school shootings. Secondary Aim 1 hypothesis -- When organized into three domains (physical target hardening, emergency response and technologies, and school security), the total number of safety tactics and policies within each domain will be significantly associated with intentional school shootings. Aim 2: To determine if the total number and specific types of safety tactics and policies are associated with suspension and expulsion rates in a sample of 650+ K-12 public schools. Primary Aim 2 hypothesis -- The total number of cumulative safety tactics and policies will be significantly associated with student discipline outcomes. Secondary Aim 2 hypothesis -- When organized into three domains (physical target hardening, emergency response and technologies, and school security), the total number of safety tactics and policies within each domain will be significantly associated with student discipline outcomes. Aim 3: To identify if urban/non-urban, economic, and racial disparities prior to and following the onset of the COVID-19 pandemic exist in effect modification analyses of the relationships between the implementation of safety tactics and policies, suspensions and expulsions, and intentional shootings in K-12 public schools. Aim 3 Hypothesis: Significant urban/non-urban, economic, and racial disparities prior to and following the onset of the COVID-19 pandemic will exist in effect modification analyses of the relationships between the implementation of safety tactics and policies, suspensions and expulsions, and intentional shootings in K-12 public schools.
Our nation is facing the COVID-19 pandemic during an ongoing opioid epidemic. Effective treatment for patients with opioid use problems involves a treatment method called Medication-Assisted Treatment, or MAT. In MAT, patients receive a medication that reduces cravings and withdrawal symptoms and can prevent overdose. Patients also receive counseling. Because the medications that are used in MAT are controlled substances, this treatment is subject to a number of federal regulations. The need for social-distancing during the pandemic would have made following these regulations very difficult for patients and their providers. Because of these difficulties, the federal government eased regulations in March 2020, making it easier for patients to receive MAT with fewer (if any) in-person visits for medication and counseling. Our team is studying the effects of these policy changes on the treatment that patients with opioid use disorder receive and on their outcomes. We are using both quantitative analyses of large, existing databases and qualitative analyses of interviews with patients, providers, and policy-makers to study these effects.
This proposal responds to NIMH Objective 4.2.c to develop "decision-support tools and technologies that increase the effectiveness and continuous improvement of mental health interventions" by leveraging the Family First Prevention Services Act (FFPSA) policy opportunity. First, a web-based platform to host (a) a decision-support tool and (b) automated facilitation for group decisions with the tool will be developed with state partners' feedback. Next, decision makers leading their states' FFPSA quality improvement efforts will be engaged to pilot a decision-support intervention comprised of the tool and live or automated facilitation, and to evaluate the implementation quality of evidence-based programs adopted with the decision-support intervention.