Jun
27
12:00 PM12:00

TC-CFAR Workshop: Applying for NIH Supplements to Promote Diversity in the Health Research Workforce

  • Northwestern University - Chicago Campus, Stonewall Conference Rooms (map)
  • Google Calendar ICS
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Workshop: Applying for NIH Supplements to Promote Diversity in the Health Research Workforce

Brian Mustanski, Ph.D.
Co-Director, Ce-PIM Methods Core

Thursday, June 27, 2019
12:00 pm - 1:00 pm CDT

This local workshop, led by Dr. Brian Mustanski, will describe NIH funding opportunities to promote diversity in the health research workforce. The session will include tips for building productive partnerships and developing competitive applications for these funds.

Fostering diversity by addressing underrepresentation in the scientific research workforce is a key component of the NIH strategy to identify, develop, and support future scientists and research personnel. Therefore, NIH offers opportunities for eligible PI/PDs with active grants to apply for supplemental funds to support and enhance the research careers of individuals from groups underrepresented in the health research workforce. (See PA-18-906)

Attend In-Person: Stonewall Conference Rooms, 625 N Michigan Ave, Chicago, IL 60611

Attend Remotely: https://bluejeans.com/169025110/browser

For more information about attending and to register for the workshop, please visit:
https://www.thirdcoastcfar.org/events/workshop-nih-diversity-supplements/

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May
31
to Jun 1

ISGMH: 2019 National LGBTQ Health Conference

6th National LGBTQ Health Conference:
Bridging Research & Practice

Friday May 31st to Saturday June 1st 2019
With an NIH Pre-Conference Workshop on Thursday May 30th
At Emory University in Atlanta, GA.


About the Conference

The National LGBTQ Health Conference is an interdisciplinary translational research conference bringing together scientists, public health professionals, and healthcare providers to discuss issues affecting the health and wellbeing of the LGBTQ community while fostering professional development and networking opportunities.


Conference Highlights

  • Nationally-recognized Keynote Speakers: Dr. Eliseo J. Pérez-Stable, Director of the National Institute on Minority Health and Health Disparities, National Institutes of Health, and Kierra Johnson, Deputy Executive Director of the National LGBTQ Task Force

  • Expert panel and breakout sessions showcasing emerging research and practice

  • Poster symposium

  • Professional Development Institute hosted by NIH on May 30

  • Continuing education units will be offered

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May
21
12:00 PM12:00

PSMG: Kosuke Imai

Design and Analysis of Two-Stage Randomized Experiments

Kosuke Imai, PhD

Harvard University

Abstract: In many social science experiments, subjects often interact with each other and as a result, one unit's treatment can influence the outcome of another unit. Over the last decade, a significant progress has been made towards causal inference in the presence of such interference between units.  In this talk, we will discuss two-stage randomized experiments, which enable the identification of the average spillover effects as well as that of the average direct effect of one's own treatment.  In particular, we consider the setting with noncompliance, in which some units in the treatment group do not receive the treatment while others in the control group may take up one.  This implies that there may exist the spillover effect of the treatment assignment on the treatment receipt as well as the spillover effect of the treatment receipt on the outcome.  To address this complication, we generalize the instrumental variables method by allowing for interference between units and show how to identify the average complier direct effect.  We also establish the connections between our nonparametric randomization-inference approach and the two-stage least squares regression.   The proposed methodology is motivated by and applied to an ongoing randomized evaluation of the India's National Health Insurance Program (RSBY).  Joint work with Zhichao Jiang and Anup Malani

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May
14
12:00 PM12:00

PSMG: Mark McGovern, PhD

The US opioid epidemic: A public health crisis and opportunity for implementation research

Mark A. McGovern, PhD

Stanford University

Abstract: The US opioid epidemic has exposed a significant gap in access to evidence-based care for persons who suffer from opioid use disorders. Although effective medications exist for opioid addiction, they are not widely available. This presentation describes several system level initiatives to increase reach and adoption, in efforts close the implementation gap. An emphasis will be on lessons learned, and how more rigorous implementation research methods may be brought to bear to address this major public health problem.

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May
7
12:00 PM12:00

PSMG: Todd Molfenter, PhD

Leveraging Treatment & Recovery Services to Address the Opioid Crisis

Todd Molfenter, PhD

University of Wisconsin - Madison, Center for Health Enhancement Systems Studies

Abstract: Dr. Molfenter will provide an overview of the “Opioid Crisis” in the United States and how it is impacting research opportunities in the addiction treatment and Implementation Science fields.  Causes and impact of the epidemic will initially be discussed. Then, opioid use disorder treatment evidence-based practices will be described. Followed by the gaps and challenges being experience in getting these practices implemented and research we have conducted to better understand how to get these practices implemented (or scaled-up) into broader practice.

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Apr
23
12:00 PM12:00

PSMG: Guanglei Hong

Weighting-Based Sensitivity Analysis in Causal Mediation Studies

Guanglei Hong, PhD

University of Chicago

Inaugural Chair, Committee on Quantitative Methods in Social, Behavioral, and Health Sciences

Associate Professor, Department of Comparative Human Development

Abstract: Through a sensitivity analysis, the analyst attempts to determine whether a conclusion of causal inference could be easily reversed by a plausible violation of an identification assumption. Analytic conclusions that are harder to alter by such a violation are expected to add a higher value to scientific knowledge about causality. This article presents a weighting-based approach to sensitivity analysis for causal mediation studies. Extending the ratio-of-mediator-probability weighting (RMPW) method for identifying natural indirect effect and natural direct effect, the new strategy assesses potential bias in the presence of omitted pretreatment or posttreatment covariates. Such omissions may undermine the causal validity of analytic conclusions. The weighting approach to sensitivity analysis reduces the reliance on functional form assumptions and removes constraints on the measurement scales for the mediator, the outcome, and the omitted covariates. In its essence, the discrepancy between a new weight that adjusts for an omitted confounder and an initial weight that omits the confounder captures the role of the confounder that contributes to the bias. The effect size of the bias due to omitted confounding of the mediator-outcome relationship is a product of two sensitivity parameters, one associated with the degree to which the omitted confounders predict the mediator and the other associated with the degree to which they predict the outcome. The article provides an application example and concludes with a discussion of broad applications of this new approach to sensitivity analysis. Supplementary material includes R code for implementing the proposed sensitivity analysis procedure.

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Apr
16
12:00 PM12:00

PSMG: Maya Mathur

Sensitivity analyses for unmeasured confounding in studies and meta-analyses

Maya Mathur, PhD

Harvard University

Abstract: Observational studies and meta-analyses may be compromised by unmeasured confounding. We describe simple metrics characterizing the sensitivity of single studies and meta-analyses to such confounding. For a single study, the “E-value” is defined as the minimum strength of association, on the risk ratio scale, that an unmeasured confounder would need to have with both the treatment and the outcome to fully explain away a specific treatment–outcome association, conditional on the measured covariates. A large E-value implies that considerable unmeasured confounding would be needed to explain away an effect estimate. A small E-value implies little unmeasured confounding would be needed to explain away an effect estimate. For meta-analyses, we will quantify the extent to which unmeasured confounding of specified magnitude could reduce to below a certain threshold the proportion of true effects that are of scientifically meaningful size. We also develop converse methods to estimate the strength of confounding capable of reducing the proportion of scientifically meaningful true effects to below a chosen threshold. All methods can be implemented with the R package EValue. 

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Apr
2
12:00 PM12:00

PSMG: Mona Sharifi

Examining the Cost-Effectiveness of Childhood Obesity Interventions

Mona Sharifi, MD, MPH

Yale School of Medicine

Abstract: Excess health care costs attributable to obesity demand effective and efficient strategies. To facilitate appropriate resource allocation, economic evaluations can aid explicit assessments of intervention efficiency and allow for comparisons between interventions. Such analyses are lacking in pediatric obesity management. This talk will review the methods and results of cost-effectiveness analyses using a microsimulation model of the national implementation of childhood obesity interventions.

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Mar
26
12:00 PM12:00

PSMG: Jonathan D. Klein

Improving Adolescent’s Access to Care:

the Adolescent Health Consortium Project

Jonathan D. Klein, MD, MPH

University of Illinois at Chicago

Abstract:  

Adolescence and young adulthood are characterized by significant physical, emotional and intellectual growth as well as increased vulnerability and risk taking. The decisions that young people make and the behaviors they engage in can have serious short- and long-term health consequences. Clinical preventive services can reduce the negative consequences of adolescent risk-taking behaviors. Guideline based periodic health care visit visits present an opportunity to provide preventive services that can reduce adolescents’ engagement in—and mitigate the impact of—risky behaviors.

Preventive services that have proven effective in reducing harm to adolescents and young adults include: immunization; screening and treatment for sexually transmitted infections; reproductive and sexual health care services, including contraception; and screening and counseling to reduce risky behaviors including tobacco, alcohol and drug use and to address injury prevention, mental health, obesity, physical activity, and other health topics. However, most young people in the United States do not receive these recommended preventive clinical care services. While many adolescents and their parents report having had health care visits, and when visits do occur, many young people report that they lack one- on-one confidential discussion with their clinician.

In response to these missed opportunities, four national medical societies— the American Academy of Pediatrics (AAP), American Academy of Family Physicians (AAFP), Society for Adolescent Health and Medicine (SAHM), and American College of Obstetricians and Gynecologists (ACOG)— have collaborated on a five-year adolescent health consortium initiative with two overarching goals: 1) to improve parental and youth awareness of the importance and value of preventive health care services; and 2) to increase the number of young people who receive appropriate preventive health care services, including confidential services within professional, ethical and legal guidelines.

The project has conducted with research to identify gaps in knowledge about the importance of preventive services among the project’s target audiences and develop effective traditional and new media technologies as tools for improving preventive health care services for adolescents and young adults.  Today’s presentation will concentrate on the data from focus groups with parents, adolescents and young adults, and health care providers, and on data derived from a nationally representative on-line survey of adolescents and their parents, and of young adults. We will present in-depth data on current youth and parent awareness of the value of preventive health care and the barriers and facilitators that prevent young people from access to and use of appropriate and needed care.

The partner organizations have developed communication strategies, messages and tools sharing information about the value of preventive health care services, and each partner is leading communication activities within their organization to incorporate key messages into new and existing education and outreach activities and to develop education and practice-change quality improvement interventions for their members.

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Mar
19
12:00 PM12:00

PSMG: Saul Weiner, MD

Patient-Collected Audio Recorded Encounters for Provider Feedback to Reduce Contextual Errors: An Implementation Study

Saul Weiner, MD

University of Illinois College of Medicine | Chicago

ABSTRACT: Dr. Weiner will discuss his ongoing research Patient-Collected Audio Recorded Encounters for Provider Feedback to Reduce Contextual Errors which utilizes an Effectiveness-Implementation type 2 hybrid design to study an innovative quality improvement project to enhance physician attention to patient life context in care planning.  The effectiveness of an audit & feedback intervention is assessed utilizing a  stepped wedge cluster randomized trial as it rolls out across six health care facilities. The implementation process is guided by the RE-AIM framework.

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Mar
12
12:00 PM12:00

PSMG: Kara Palamountain

Ensuring Success: Introduction & Implementation of Point of Care Testing in sub-Saharan Africa

Kara Palamountain, MBA

Northwestern University, Kellogg School of Management

Abstract: Reducing the time it takes to diagnose and treat persons living with HIV/AIDS and Tuberculosis is critical for the individual and to public health.  This presentation identifies three approaches for reducing time to diagnosis and treatment in sub-Saharan Africa, including: 1) Point of Care (POC) Tests 2) Placement of POC devices within clinics and health systems and 3) optimizing sample and result transport networks.

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Mar
5
12:00 PM12:00

PSMG: David Mohr & Madhu Reddy

Re-envisioning Digital Mental Health: addressing the research-to-practice gap

David Mohr, Ph.D. & Madhu Reddy, Ph.D.
Northwestern University

ABSTRACT:
Depression is a common problem that imposes a tremendous societal burden in terms of cost, morbidity, quality of life, and mortality. However, few people are able to obtain adequate or appropriate treatment for depression. Digital mental health (DMH) technologies such as web-based and mobile applications have shown great potential, with a large number of randomized controlled trials (RCTs) consistently demonstrating efficacy, particularly when coupled with support from a clinician or coordinator. Yet for all of the promise, evidence shows these findings do not carry over when these tools are implemented in real-world settings. Indeed, a large-scale implementation trial of two well-known web-based tools (Beating the Blues and MoodGym) for treating depression found that patients did not want to engage with the tools. This research-to-practice gap is not being addressed by our current approaches for designing, implementing, and evaluating DMH technologies. In particular, we face three major challenges: (1) these technologies are often designed without sufficient stakeholder input throughout the design process; (2) we often plan for implementation only after the efficacy testing is completed; and (3) technological capabilities, care systems, and user expectations change rapidly but we currently are not flexible and rapid in how we respond to these changes.

In this presentation, we will discuss how we are attempting to address these research-to-practice gaps through our Accelerated Creation-to-Sustainment (ACTS) model developed by our multidisciplinary team of clinical sciences and HCI researchers. In particular, we will focus on the work that we are doing to try to better understand the needs of users, both patient and healthcare organization stakeholders, in terms of DMH technologies and services. We will then conclude with some thoughts about future directions for the field of digital mental health.

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Feb
19
to Feb 20

PSMG: Milica Miočević

Bayesian Mediation Analysis

Milica Miočević, PhD

Utrecht University

Abstract: Mediation analysis is used to study intermediate variables (M) that transmit the effect an independent variable (X) has on a dependent variable (Y). For example, a researcher might be interested in whether an intervention designed to reduce unhealthy lifestyle behaviors (X) affects fruit and vegetable consumption (M), which in turn affects general health (Y). In this study, the quantity of interest is the indirect effect of the intervention on general health through fruit and vegetable consumption. Two prominent approaches to data analysis are the classical (also called “frequentist”) and the Bayesian approach. In recent years researchers in social sciences have turned to Bayesian methods when they encounter convergence issues (Chen, Choi, Weiss, & Stapleton, 2014), issues due to small samples (Lee & Song, 2004), and when they wish to report the probability that a parameter lies within a certain interval (Rindskopf, 2012).In the frequentist framework, evidence for the presence of mediation is obtained by testing the statistical significance of the product of coefficients comprising the indirect effect. The distribution of the mediated effect is often asymmetric (Craig, 1936; Lomnicki, 1967; Springer & Thompson, 1966), and the best classical methods for evaluating the significance of the mediated effect either take the asymmetric distribution of the product into account or make no distributional assumptions at all (Cheung 2007, 2009; MacKinnon, Fritz, Williams, & Lockwood 2007; MacKinnon, Lockwood, & Williams, 2004; MacKinnon, Lockwood, Hoffmann, West, & Sheets, 2002; MacKinnon, et al., 1995; Shrout & Bolger, 2002; Tofighi & MacKinnon, 2011; Valente, Gonzalez, Miočević, & MacKinnon, 2016; Yuan & MacKinnon, 2009).Bayesian methods offer an easy way to take into account the asymmetric distribution of the mediated effect, and to compute functions of the mediated effect, e.g. effect size measures and causal estimates of indirect and direct effects. Furthermore, Bayesian methods provide an intuitive framework for the inclusion of relevant prior information into the statistical analysis. In this talk I will discuss the pros and cons of Bayesian methods for mediation analysis, and I will illustrate some advantages and challenges of Bayesian mediation analysis using an example data set from a study of alcohol consumption of college students in the United States. I will conclude with recommendations that can be made for applied researchers based on the methodological literature on Bayesian mediation analysis thus far, and with some future directions for this line of research.

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Feb
5
12:00 PM12:00

PSMG: Aaron Lyon

How implementable is that evidence-based practice?

Designing and supporting streamlined and contextually-appropriate innovations in behavioral health

Aaron Lyon, Ph.D.
University of Washington

ABSTRACT:
At their core, evidence-based psychosocial interventions (EBPIs) can be considered products intended for a range of different types of users. Usability – the extent to which a product can be used by specified users to achieve specified goals with effectiveness, efficiency, and satisfaction – is a key “upstream” determinant of implementation and service outcomes. Drawing from the field of user-centered design, this session will discuss common usability issues encountered for EBPIs in behavioral health, how they impact implementation outcomes, and the application of user-centered design methodologies to assess and improve the usability and implementability of complex psychosocial interventions in behavioral health.

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Jan
29
12:00 PM12:00

PSMG: Sandro Galea

SYSTEMS SCIENCE AND POPULATION HEALTH

Sandro Galea, M.D., Ph.D.
Boston University

ABSTRACT:
Population health is the product of complex systems. It is characterized by discontinuities, non-linearities, reciprocity, and emergent properties. This requires clarity about our conceptualization of population health and the approaches we take towards answering population health science questions. This presentation will discuss the fundamental principles of population health science and how it intersects with complex systems perspectives, using examples from ongoing modeling work.

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Jan
22
12:00 PM12:00

PSMG: Gregory E. Simon

Predicting suicidal behavior:

Artificial intelligence for actual human users

Gregory E. Simon, MD, MPH
Kaiser Permanente

ABSTRACT:
This presentation will describe work by the NIMH-funded Mental Health Research Network (www.mhresearchnetwork.org) to develop and implement tools to identify and assess risk of suicidal behavior in large integrated healthcare systems.  Using this example, the presentation will describe collaboration with health system stakeholders in the development and implementation of machine learning prediction models.  Discussion will illustrate general principles to improve the practical utility of machine learning or artificial intelligence tools.

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Jan
15
12:00 PM12:00

PSMG: Lisa Hirschhorn

How Rwanda succeeded: Using implementation science to understand the success in reducing under-5 mortality between 2000 and 2015

Lisa Hirschhorn, M.D., MPH
Northwestern University, Feinberg School of Medicine

ABSTRACT:
Understanding how some low and middle income countries have been more successful in dropping mortality in children under5 is a high priority as the global community works to continue in work to achieve effective universal health coverage and the new Sustainable Development Goals. Rwanda has been a leader in this area, yet how they achieved a remarkable decline despite having to rebuild their health system starting in the 2003. We will present the process to develop and apply an Implementation science framework and methods to understand the implementation strategies to expand evidence based interventions know to reduce under-5 mortality and results in developing transferable knowledge

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Jan
8
12:00 PM12:00

PSMG: Mariel Finucane

What Works for Whom?
Bayesian Adaptive Design for Prevention Research

Mariel Finucane, PhD

M50 | Mathematica Policy Research

ABSTRACT: A Bayesian approach to randomized program evaluations efficiently identifies what works for whom. The Bayesian design adapts to accumulating evidence: Over the course of an evaluation, more study subjects are allocated to treatment arms that are more promising, given the specific subgroup from which each subject comes. We identify conditions under which there is more than a 90% chance that inference from the Bayesian adaptive design is superior to inference from a standard design, using less than one third the sample size.

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Dec
15
8:00 AM08:00

Abstract Deadline: 2019 National LGBTQ Health Conference

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Call for Abstracts:
Due December 15th 2018

6th National LGBTQ Health Conference:
Bridging Research & Practice

Friday May 31st to Saturday June 1st 2019
With an NIH Pre-Conference Workshop on Thursday May 30th
At Emory University in Atlanta, GA.

Abstracts due: December 15th 2018

 For more Information please visit the conference website: https://lgbtqconference.dryfta.com/en/

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Dec
11
12:00 PM12:00

PSMG: Implementation Science - Lisa Harrison, MPH

Selecting and implementing interventions: A rural county health department perspective

Lisa Harrison, MPH
University of North Carolina at Chapel Hill

There is no recording of this presentation

Our state's motto is “Esse quam videri - To be rather than to seem.” North Carolina struggles with insufficient systems to adequately address the opioid crisis we are experiencing. However, progress is happening. Leaders are making a difference across organizations, partnerships, and communities large and small. Where there is a will, North Carolina people are finding creative solutions to address the opioid crisis and its underlying health issues. We cannot wait. We cannot seem. We cannot be afraid.
You may have heard by now, if you have not experienced it in your own family directly: as a society, we are facing an opioid epidemic, a persistently challenging issue that does not discriminate across age, gender, financial status, employment status, race, culture, or geography. In the United States, death from opioid overdose now takes more lives each year than car accidents [1]. Sadly, we know this to be true in every region of North Carolina, too. Like the rest of the nation, we have seen a dramatic increase in overdose death in recent years [1]. The majority of drug overdose deaths (66%) involve an opioid. In 2016, the number of overdose deaths involving opioids (including prescription opioids and heroin) was 5 times higher than in 1999. From 2000 to 2016, more than 600,000 people died from drug overdoses. On average, 115 Americans die every day from an opioid overdose [2]. There are countless public agencies in counties across the state that are affected by opioid addiction and abuse: hosptials, health departments, foster care services, adult care services, nursing homes, law enforcement… the list is unending.
Communities are charged with solving persistent, expensive, and deadly challenges—so far, in large part, on their own. Providers are charged with educating, prescribing properly, and following up for harm reduction and patient safety. Together, providers, county commissioners, law enforcement leaders, public health workers, and social service workers are doing what they can to be responsive and responsible to the unintended consequences of this crisis despite a lack of financial resources and difficulty accessing recovery and treatment centers from rural areas of our state. Communities across the state are working tirelessly and creatively to help people find hope, treatment, and lasting recovery.
Part of the crisis we are experiencing has developed because, in some cases, those who followed a medical provider's instructions have developed a dependence on opioids to the point they continue to seek the medication and its effects. When the opioids are no longer available by prescription, some seek alternative options to prevent the pain and illness of going into withdrawal. This is where heroin, an illicit and synthetic form of the drug, can enter the picture and become a problem in communities like it has in many of our North Carolina counties. Heroin, since its origin varies, is often laced with other synthetic opioids like fentanyl and overdoses of these different combinations of drugs are becoming more and more common. Heroin overdose death among women tripled between 2010 and 2013 nationally [3].

There is no recording of this presentation

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Dec
4
7:00 AM07:00

2018 D&I Conference: Implementation Science and Equity Adjunct Meeting

11th Annual Conference on the Science of Dissemination and Implementation in Health

Implementation Science and Equity
Adjunct Meeting

Tuesday December 4th 2018
Renaissance Washington, DC
999 9th Street, NW
Washington, DC 2001

Meeting Objectives:

  • Develop a shared understanding of the importance of integrating racial and ethnic equity and inclusion in implementation science and practice

  • Create a space for interested participants to commit to ongoing email, phone, and/or virtual conversations to develop a research agenda and call to action for the implementation research community on our role in supporting equitable outcomes.

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Dec
3
to Dec 5

2018 D&I Conference: Ce-PIM Presentations

11th Annual Conference on the Science of Dissemination and Implementation in Health

Scaling up Effective Health and Healthcare: Advancing the Research Agenda and Necessary Infrastructure

Monday December 3rd to Wednesday December 5th 2018
Renaissance Washington, DC
999 9th Street, NW
Washington, DC 2001

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Nov
27
12:00 PM12:00

Marion Forgatch: Taking an Evidence Based Parenting Program from the Cradle into the Community: A Case Study

Taking an Evidence Based Parenting Program from the Cradle into the Community: A Case Study

Marion Forgatch, PhD
Oregon Social Learning Center

ABSTRACT:
Interventions for children and youth were developed and subjected to rigorous testing in the 20th century, resulting in a rich supply of parenting programs that produce positive outcomes. Unfortunately, these programs are seldom available in community service agencies today, leaving families unable to reap their benefits. An important challenge for the 21st century is to install these evidence based programs in community service agencies with fidelity, making them accessible to families seeking help. Yet, transferring these programs from the ivory towers where they were developed to the unruly field of practice is a delicate process facing many challenges. This presentation is a case study that describes the development of an evidence based parenting program, GenerationPMTO, and its entry into the field of implementation. GenerationPMTO is one of the progenitor parenting programs that prevents and reduces child and adolescent behavior problems (e.g., externalizing and internalizing behavior, delinquency, police arrests, and deviant peer association), with collateral family benefits that include improved marital relationships, increased income, and reduced maternal depression and police arrests (Patterson, Forgatch, & DeGarmo, 2010). Findings are presented from a Full Transfer approach to implementation, in which the program developer delivers governing authority to the adopting community. Implementation data are provided. Outcomes include adoption in terms of numbers of practitioners and settings, practitioner training in terms of % of trainees completing with certification, practitioner fidelity across multiple generations of trainees, and increasing reach. Data from prevention and clinical interventions from GenerationPMTO efficacy and effectiveness trials are provided for the intervention; implementation outcomes were obtained from four nationwide implementations (i.e., Norway, Iceland, the Netherlands, and Denmark).  

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Nov
13
12:00 PM12:00

PSMG: Jeremy Goldhaber-Fiebert, PhD

Optimizing Study Designs to Better Inform Individualized Treatment Decisions

Jeremy Goldhaber-Fiebert, PhD
Stanford University

ABSTRACT:
A paradigm shift is occurring in medicine and public health. Previously, trials were intended to identify the intervention with the greatest expected effect for a group of patients at risk for or diagnosed with a given disease or condition. As new and better interventions were identified this way, practice shifted towards the superior interventions. However, even if an intervention is best on average, some individuals may do better than expected while others may not do as well. Similarly, even if all individuals do about the same, some may have more serious adverse events/harms/unintended effects and others may have fewer. If differences in outcomes and harms with each intervention can be predicted for individuals, then the choice of intervention can be tailored and individualized – each person can get the intervention that most ideally achieves better health outcomes while minimizing harms for that person in particular. This is the new paradigm of individualized care, personalized medicine and health.   Individualized care holds great promise, but achieving this promise presents a number of challenges. One particular challenge that we focus on is when to individualize care based on current knowledge (information from completed studies) and when and how to design additional studies that should be conducted before care is individualized. Currently most trials focus on showing effects for the group as a whole. After the trial concludes, additional analyses attempt to predict which subgroups will benefit more from which treatment. Even when these analyses find differences, they may be highly uncertain because the original trial was not made large enough to precisely measure these differences at these subgroup levels. The subgroup findings are suggestive, and it may be tempting to individualize treatment based on them. Yet, because treatments carry both the promise of benefits and risks of harms and side-effects, additional studies may be warranted. But when? And how large of a study? And on which subgroups should the new study focus on?    Towards answering these questions, we describe a framework we developed. We then apply this framework using simulation model examples to characterize what are the characteristics of the subgroups and their expected benefits, risks and associated uncertainties as well as the maximum available sample size that determines optimal study designs for individualization decisions. In many cases, we consider optimal study designs diverge strongly (but predictably) from proportional random sampling schemes like those currently used in many randomized trials.

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Nov
12
12:00 PM12:00

TC-CFAR Seminar Series: Joshua Leonard and Chisu Song

Engineering extracellular vesicle-mediated delivery of targeted nucleases to inactive HIV proviral DNA.

Joshua L. Leonard, PhD
Northwestern University

Chisu Song, PhD
Northwestern University

Monday November 12, 2018
12PM to 1PM CDT

Drs. Joshua Leonard and Chisu Song will present the results of their Third Coast CFAR pilot projects.

Joshua L. Leonard, PhD is an associate professor of chemical and biological engineering at Northwestern University McCormick School of Engineering. His research group works at the interface of systems biology and synthetic biology in order to probe and program the function of complex, multicellular systems to develop transformative biotechnologies and enable a new paradigm of design-driven medicine. Using the tools of synthetic biology, biomolecular engineering, computational systems biology, and gene therapy, they develop technologies including programmable cell-based “devices,” immune therapies for cancer and chronic disease, smart vaccines, biosensors for global health applications, and tools for advanced metabolic engineering. By bringing an engineering approach to the investigation, design, and construction of biological systems, Dr. Leonard’s research group is advancing the frontiers of design-driven medicine to address unmet medical needs and create safe, effective, and long-lasting treatment options that improve both quantity and quality of life. 

Chisu Song, PhD is a research assistant professor of medicine in the Division of Infectious Diseases at Northwestern University. Dr. Song received his doctorate in Virology at the University of Alabama-Birmingham in 2001. He completed his postdoctoral training in Microbiology and Hematology-Oncology at the University of Alabama and Microbiology and Immunology at Vanderbilt University. Dr. Song's work includes studying APOBEC3G to identify potential strategies for sustained remission in individuals with HIV. 

Attend in person: Stonewall Conference Rooms, 625 N Michigan Ave Chicago, IL 60611

Attend remotely: https://bluejeans.com/169025110

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Nov
6
12:00 PM12:00

PSMG: HIV/AIDS Prevention - J.D. Smith, PhD & Nanette Benbow, MAS

Landscape of Funded Implementation Research in HIV/AIDS: A Scoping Review of
Methodological and Intervention Characteristics

JD Smith, PhD & Nanette Benbow, MAS
Northwestern University

ABSTRACT:
JD and Nanette will present results from a scoping review of NIH-funded grants which will identify the proportion and characteristics of HIV-related implementation research studies funded by NIH, discuss multiple implementation research methods used to study interventions targeting various points in the HIV prevention and care continuums, and present potential opportunities for next steps.

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Nov
1
8:30 AM08:30

TC-CFAR Symposium: Third Coast Center for AIDS Research 2018 Annual Symposium

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Thursday November 1st, 2018
8:30AM to 4:30PM CDT
Gordon Center for Integrative Sciences, The University of Chicago

Join the Third Coast Center for AIDS Research 2018 Annual Symposium Ending the HIV Epidemic: Think Globally, Act Locally. This multidisciplinary symposium will draw important connections between HIV research in global settings and the lessons researchers can apply to their domestic work. Examples of the “global to local” approach will include innovations in HIV testing, prevention and care, as well as implementation science approaches to scale up of new interventions, and the role of research on non-communicable diseases and HIV.

Ambassador Deborah L. Birx, United States Global AIDS Coordinator will provide a keynote lecture on the scale up of HIV treatment through the President’s Emergency Plan for AIDS Relief (PEPFAR) programs.

Ce-PIM Director, Dr. C Hendricks Brown, will join Dr. Carlos Del Rio (Emory) and Dr. Moira McNulty (Univ of Chicago) as a presenter in Session III: Implementation Science to Accelerate the Cascades.

For more more information on this symposium, including the agenda, please visit: http://www.thirdcoastcfar.org/annual-symposium/

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