Using Peer Support to Prevent Diabetes: Results of a Pragmatic RCT.

Introduction: High-contact structured diabetes prevention programs are effective in lowering weight and HbA1cs, yet their intensity level can create barriers to participation. Peer support programs improve clinical outcomes among adults with Type 2 diabetes, but their effectiveness in diabetes prevention is unknown. This study examined whether a low-intensity peer support program improved outcomes more than enhanced usual care in a diverse population with prediabetes.

Study protocol: Behavioral economics and self-determination theory to change diabetes risk (BEST Change).

Background: The Diabetes Prevention Program (DPP) and metformin can prevent or delay the onset of type 2 diabetes mellitus (T2DM) among patients with prediabetes. Yet, even when these evidence-based strategies are accessible and affordable, uptake is low. Thus, there is a critical need for effective, scalable, and sustainable approaches to increase uptake and engagement in these interventions.

Effectiveness of a Health Coaching Intervention for Patient-Family Dyads to Improve Outcomes Among Adults With Diabetes: A Randomized Clinical Trial.

Importance: More than 75% of US adults with diabetes do not meet treatment goals. More effective support from family and friends ("supporters") may improve diabetes management and outcomes.

Objective: To determine if the Caring Others Increasing Engagement in Patient Aligned Care Teams (CO-IMPACT) intervention improves patient activation, diabetes management, and outcomes compared with standard care.

Patient and supporter factors affecting engagement with diabetes telehealth.

Objectives: To assess what patient, family supporter, and call characteristics predicted whether patients completed automated and coach-provided calls in a telehealth diabetes intervention.

Study Design: A total of 123 adults with type 2 diabetes and high glycated hemoglobin A1c (HbA1c) or blood pressure, enrolled with a family supporter, received automated interactive voice response (IVR) and coach-provided visit preparation calls over 12 months.

Methods: Data from baseline surveys and diabetes-related clinical information from patient medical records were entered into multilevel, multivariate regression models of associations between participant and call characteristics with call completion.

Study protocol: Using peer support to aid in prevention and treatment in prediabetes (UPSTART).

Background: There is an urgent need to develop and evaluate effective and scalable interventions to prevent or delay the onset of type 2 diabetes mellitus (T2DM).

Methods: In this randomized controlled pragmatic trial, 296 adults with prediabetes will be randomized to either a peer support arm or enhanced usual care. Participants in the peer support arm meet face-to-face initially with a trained peer coach who also is a patient at the same health center to receive information on locally available wellness and diabetes prevention programs, discuss behavioral goals related to diabetes prevention, and develop an action plan for the next week to meet their goals.

The impact of a depression self-management intervention on seizure activity.

Purpose: Seizures have a variety of significant physical, cognitive, and social effects upon the individual. Depression has been linked to an increase in seizure activity, and Project Using Practice and Learning to Increase Favorable Thoughts (UPLIFT) was shown to reduce depressive symptoms. Project UPLIFT, based upon mindfulness-based cognitive therapy (MBCT), provides distance delivery of depression management skills to groups of people with epilepsy.

Engaging family supporters of adult patients with diabetes to improve clinical and patient-centered outcomes: study protocol for a randomized controlled trial.

Background: Most adults with diabetes who are at high risk for complications have family or friends who are involved in their medical and self-care ("family supporters"). These family supporters are an important resource who could be leveraged to improve patients' engagement in their care and patient health outcomes. However, healthcare teams lack structured and feasible approaches to effectively engage family supporters in patient self-management support.

Demographic and Clinical Correlates of Seizure Frequency: Findings from the Managing Epilepsy Well Network Database.

Background And Purpose: Epilepsy is a chronic neurological disease that represents a tremendous burden on both patients and society in general. Studies have addressed how demographic variables, socioeconomic variables, and psychological comorbidity are related to the quality of life (QOL) of people with epilepsy (PWE). However, there has been less focus on how these factors may differ between patients who exhibit varying degrees of seizure control.

Correlates of quality of life among individuals with epilepsy enrolled in self-management research: From the US Centers for Disease Control and Prevention Managing Epilepsy Well Network.

Rationale: Epilepsy is a chronic neurological condition that causes substantial burden on patients and families. Quality of life may be reduced due to the stress of coping with epilepsy. For nearly a decade, the Centers for Disease Control (CDC) Prevention Research Center's Managing Epilepsy Well (MEW) Network has been conducting research on epilepsy self-management to address research and practice gaps.

Pediatric Asthma Care Coordination in Underserved Communities: A Quasiexperimental Study.

Objectives: To assess the effect of care coordination on asthma outcomes among children in underserved urban communities.

Methods: We enrolled children, most of whom had very poorly or not well-controlled asthma, in medical-social care coordination programs in Los Angeles, California; Chicago, Illinois; Philadelphia, Pennsylvania; and San Juan, Puerto Rico in 2011 to 2014. Participants (n = 805; mean age = 7 years) were 60% male, 50% African American, and 42% Latino.

Insight: An ontology-based integrated database and analysis platform for epilepsy self-management research.

We present Insight as an integrated database and analysis platform for epilepsy self-management research as part of the national Managing Epilepsy Well Network. Insight is the only available informatics platform for accessing and analyzing integrated data from multiple epilepsy self-management research studies with several new data management features and user-friendly functionalities. The features of Insight include, (1) use of Common Data Elements defined by members of the research community and an epilepsy domain ontology for data integration and querying, (2) visualization tools to support real time exploration of data distribution across research studies, and (3) an interactive visual query interface for provenance-enabled research cohort identification.

The "Retrofitting" Approach to Adapting Evidence-Based Interventions: A Case Study of Pediatric Asthma Care Coordination, United States, 2010-2014.

Adaptation of evidence-based interventions upon implementation into new practice settings is universal, yet poorly understood. During a cross-site evaluation of the implementation of a proven intervention for pediatric asthma care coordination into 4 resource-challenged settings, we conducted in-depth interviews with site representatives, who reported how and why they modified intervention components. Interview notes were coded for themes.

: Semantic Provenance and Analysis Platform for Multi-center Neurology Healthcare Research.

is a Semantic Web technology-based platform to support large-scale secondary analysis of healthcare data for neurology clinical research. features the novel use of: (1) provenance metadata, which describes the history or origin of patient data, in clinical research analysis, and (2) support for patient cohort queries across multiple institutions conducting research in epilepsy, which is the one of the most common neurological disorders affecting 50 million persons worldwide. is being developed as a healthcare informatics infrastructure to support a national network of eight epilepsy research centers across the U.

A Mixed-Method Application of the Program Sustainability Assessment Tool to Evaluate the Sustainability of 4 Pediatric Asthma Care Coordination Programs.

Introduction: As part of a cross-site evaluation of the implementation of an evidence-based intervention for pediatric asthma care coordination into low-income communities, we sought to understand the factors that influenced the programs' expected sustainability of the programs after external funding ended.

Methods: We administered the Center for Public Health Systems Science's Program Sustainability Assessment Tool, a 40-item instrument assessing 8 domains of sustainability capacity, to 12 key informants across 4 program sites. We developed open-ended probes for each domain.

Development of the Adult Epilepsy Self-Management Measurement Instrument (AESMMI).

Epilepsy self-management is the total sum of steps that people perform to maximize seizure control, to minimize the impact of having a seizure disorder, and to maximize quality of life. As part of a phased approach to instrument development, we conducted descriptive analyses of data from epilepsy self-management items covering 10 domains of self-management gathered from 422 adults with epilepsy from multiple study sites. Participants most frequently reported performing sets of behaviors related to managing treatment and stigma, information seeking, managing symptoms, and communicating with providers.

Factor analyses of an Adult Epilepsy Self-Management Measurement Instrument (AESMMI).

The purpose of this study was to test the psychometric properties of an enhanced Adult Epilepsy Self-Management Measurement Instrument (AESMMI). An instrument of 113 items, covering 10 a priori self-management domains, was generated through a multiphase process, based on a review of the literature, validated epilepsy and other chronic condition self-management scales and expert input. Reliability and exploratory factor analyses were conducted on data collected from 422 adults with epilepsy.

The Influence of Setting on Care Coordination for Childhood Asthma.

Asthma affects 7.1 million children in the United States, disproportionately burdening African American and Latino children. Barriers to asthma control include insufficient patient education and fragmented care.

Comparison of common data elements from the Managing Epilepsy Well (MEW) Network integrated database and a well-characterized sample with nonepileptic seizures.

Introduction: Epilepsy and psychogenic nonepileptic seizures (PNES) are both chronic illnesses characterized by similar and overlapping clinical features. A limited number of studies comparing people with epilepsy (PWE) and patients with PNES that address determinants of health outcomes exist. We conducted an analysis using a well-characterized sample of people with PNES and the Managing Epilepsy Well (MEW) Network integrated data, comparing descriptive data on samples with epilepsy and with documented PNES.

Managing information well: Toward an ontology-driven informatics platform for data sharing and secondary use in epilepsy self-management research centers.

Epilepsy is a chronic neurological condition that requires active self-management to reduce personal and population burden. The Managing Epilepsy Well Network, funded by the US Centers for Disease Control and Prevention, conducts research on epilepsy self-management. There is an urgent need to develop an integrated informatics platform to maximize the secondary use of existing Managing Epilepsy Well Network data.

Expanding the efficacy of Project UPLIFT: Distance delivery of mindfulness-based depression prevention to people with epilepsy.

Objective: Depression affects about 16% of the U.S. population over a lifetime.

Policy and system change and community coalitions: outcomes from allies against asthma.

Objectives. We assessed policy and system changes and health outcomes produced by the Allies Against Asthma program, a 5-year collaborative effort by 7 community coalitions to address childhood asthma. We also explored associations between community engagement and outcomes.

Asthma coalition effects on vulnerable sub groups of children: the most frequent users of health care and the youngest.

Objective: To examine the impact of Allies Against Asthma, community-based coalitions working to improve asthma outcomes, on vulnerable children: those with the most urgent health care use and those of youngest age.

Methods: Allies zip codes were matched with comparison communities on demographic factors. Five years of Medicaid data (n = 26,836) for significant health care events: hospitalizations, ED and urgent care facility visits, were analyzed.

Improvements in health care use associated with community coalitions: long-term results of the allies against asthma initiative.

Objectives: We assessed changes in asthma-related health care use by low-income children in communities across the country where 6 Allies Against Asthma coalitions (Hampton Roads, VA; Washington, DC; Milwaukee, WI; King County/Seattle, WA; Long Beach, CA; and Philadelphia, PA) mobilized stakeholders to bring about policy changes conducive to asthma control.

Methods: Allies intervention zip codes were matched with comparison communities by median household income, asthma prevalence, total population size, and race/ethnicity. Five years of data provided by the Center for Medicare and Medicaid Services on hospitalizations, emergency department (ED) use, and physician urgent care visits for children were analyzed.