Research Studies

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Current Studies:

A Computational Method for Increased Detection Rate
Mark C. Hornbrook, Principal Investigator
Funding Source: Medial Solutions, Inc.
Funding Period: September 2014–March 2016
This study is validating a computational method as an adjunct to colorectal cancer screening, called MeScore CRC. MeScore uses basic demographic information, such as age and gender, as well as complete blood counts.
 
A Microfinance Intervention to Improve the Health of Rape Survivors in the DRC—Micro DRC
Nancy Glass, Principal Investigator
Nancy A. Perrin, Co-Investigator
Funding Source: National Center on Minority Health and Health Disparities through a subcontract with Johns Hopkins University
Funding Period: December 2010–November 2015
This study evaluates a microfinance intervention for victims of domestic violence in the Democratic Republic of the Congo. The study outcomes are being collected at the individual, household, and community level with a focus on health, food security, school attendance, and health care utilization.
 
A Multi-Level Intervention to Improve Rates of Mammography Screening in Latinas
Gloria D. Coronado, Principal Investigator
Funding Source: National Cancer Institute
Funding Period: December 2009–November 2014
The overall goal of this project is to understand and prevent breast cancer disparities in Latino women. Breast cancer places a disparate burden on Latino women, who tend to have a later stage of disease detection than non-Latino white women. This project builds on a long-standing partnership with Sea Mar Community Health Center, a Latino-serving Federally Qualified Health Center serving more than 100,000 patients in Western Washington. This is a multi-level intervention. At the clinic level and at two of the four participating clinic sites, additional mammography services are provided through an on-site, state-of-the-art mobile mammography van. At the patient level, Spanish-speaking lay health educators, promotoras, deliver home-based motivational interviewing to Latinas who are non-adherent with mammography screening recommendations.
 
Accelerating Data Value Across a National Community Health Center Network
Jennifer E. DeVoe, Principal Investigator
Mary Ann McBurnie, Gregory A. Nichols, Co-Investigators
Funding Source: Patient-Centered Outcomes Research Institute
Funding Period: March 2014–August 2015
Federally qualified health centers are federally funded “safety net clinics” that offer affordable health care to underserved populations. This project seeks to: integrate hospital and community-level data into a federally qualified health center (FQHC) outpatient clinical data repository; develop a network of patients who contribute to the design, implementation, and interpretation of research studies; develop electronic systems for recruiting study participants and collecting patient-reported data; strengthen the infrastructure that enables community-academic partnerships to support patient-centered outcomes research; and build the capacity of FQHC networks to meet research regulatory requirements.
 
Active Surveillance for Medically Attended Acute Gastroenteritis (MAAGE) and Norovirus Infection in a Managed Care Population
Aron J. Hall, Principal Investigator
Mark A. Schmidt, Site Principal Investigator, Allison Naleway, Charles Elder, Co-Investigators
Funding Source: Centers for Disease Control and Prevention
Funding Period: March 2014–February 2016
We are recruiting 1,200 Kaiser Permanente Northwest members with medically attended acute gastroenteritis (MAAGE), and up to 400 of their household members with similar signs and symptoms, to submit stool specimens for laboratory testing. We will then calculate the annual incidence of MAAGE and of norovirus infection in order to describe demographic, clinical, and epidemiological features of MAAGE and norovirus infection, as well as the transmission of MAAGE and norovirus infection within households.
 
An Efficacy-Effectiveness Trial of Cognitive Bias Modification for Youth Anxiety
Gregory N. Clarke, Principal Investigator
Frances L. Lynch, Michael C. Leo, Co-Investigators
Funding Source: National Institute of Mental Health
Funding Period: May 2014–March 2019
This study is a large, randomized efficacy-effectiveness trial testing the benefit of a low-cost computerized intervention to treat anxiety in youths ages 12 to 17. The trial will compare three interventions that participants will receive in addition to usual treatment. In addition, it will directly test the level of clinical support needed to adequately deliver a self-administered variant of a cognitive behavioral therapy program to anxious youth.
 
Analysis of Device Shock Patterns among Patients with Implantable Cardiac Defibrillators
David Magid, Principal Investigator
David H. Smith, Co-Investigator
Funding Source: American College of Cardiology
Funding Period: September 2012–April 2014
Implantable cardioverter defibrillators (ICDs) have revolutionized the treatment of hundreds of thousands of patients in the US who are at risk for sudden cardiac death (SCD). The objective of this study is to determine the patterns and determinants of ICD shocks in a large, community-based population undergoing ICD implantation for primary prevention. Our hypothesis is that readily available clinical factors predict ICD shocks. The rationale for performing this study is that once the frequency and determinants of shocks following ICD implantation in routine clinical practice are understood, patients considering ICD therapy for primary prevention of SCD, the clinicians caring for them, and policy makers will be better equipped to estimate the risks and benefits of this therapy.
 
Assessing a Medicaid Randomized Insurance Experiment within Community Clinics
Rachel Gold, CHR Principal Investigator
Stephen P. Fortmann, Co-Investigator
Funding Source: National Heart, Lung, and Blood Institute
Funding Period: August 2011–March 2015
This project is intended to demonstrate the use of OCHIN’s data as a research tool for evaluating how practice and policy interventions affect community health center patient populations. We will use this data to determine (i) whether the Oregon Health Plan’s randomized public insurance “lottery” differentially impacted established community health center patients, and (ii) how insurance coverage is associated with receipt of preventive services among safety net patients. OCHIN is one of the nation’s largest health information networks, spanning 14 states, and more than 70 clinic systems with over 4,500 physicians. OCHIN’s health IT solutions are designed to improve the integration and delivery of health care across a variety of practices, with an emphasis on safety net clinics, small practices, and rural hospitals.
 
Association Between Hyperuricemia, Diagnosed Gout, and Cardiovascular and Renal Outcomes
Gregory A. Nichols, Principal Investigator
Maureen O'Keeffe-Rosetti, Mark A. Schmidt, Co-Investigators
Funding Source: AstraZeneca
Funding Period: July 2014–December 2016
The goals of this study are to determine the proportion of patients with prevalent and incident gout diagnoses who have controlled versus uncontrolled hyperuricemia. Among patients with a gout diagnosis, we will also assess the independent association between control of hyperuricemia and risk of ischemic heart disease, heart failure, chronic kidney disease, and all-cause mortality. Finally, we will calculate and compare medical-care costs of patients with gout who have controlled versus uncontrolled hyperuricemia.
 
Association of Heart Failure Length of Stay with Subsequent Readmission and All-Cause Mortality
Gregory A. Nichols, Principal Investigator
Eric S. Johnson, Co-Investigator
Funding Source: Novartis
Funding Period: July 2013–December 2015
This study is assessing the association between how long patients with heart failure stay in the hospital and their later readmission or mortality (death from any cause). The study controls for demographic and clinical characteristics, comorbidities (other medical conditions), and pharmacotherapy (types and amounts of medications the patient is taking) over 30 days, 6 months, and 1 year following the first hospitalization. These associations will be assessed overall and stratified by newly diagnosed vs. pre-existing heart failure.
 
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