Considerations and recommendations for collaborative research networks in epidemiology: Lessons learned from the diabetes LEAD Network.

Multi-site and multi-organizational teams are increasingly common in epidemiologic research; however, there is a lack of standards or best practices for achieving success in collaborative research networks in epidemiology. We summarize our experiences and lessons learned from the Diabetes Location, Environmental Attributes, and Disparities (LEAD) Network, a collaborative agreement between the Centers for Disease Control and Prevention and research teams at Drexel University, New York University, Johns Hopkins University and Geisinger, and the University of Alabama at Birmingham. We present a roadmap for success in collaborative epidemiologic research, with recommendations focused on the following areas to maximize efficiency and success in collaborative research agreements: 1) operational and administrative considerations; 2) data access and sharing of sensitive data; 3) aligning network research aims; 4) harmonization of methods and measures; and 5) dissemination of findings.

Impact of Park Redesign and Renovation on Children's Health-Related Quality of Life.

Despite increasing interest in the role of parks on children's health, there has been little empirical research on the impact of park interventions. We used a quasi-experimental pre-post study design with matched controls to evaluate the effects of park redesign and renovation on children's health-related quality of life (QoL) in underserved neighborhoods in New York City, with predominantly Hispanic and Black populations. Utilizing longitudinal data from the Physical Activity and Redesigned Community Spaces (PARCS) Study, we examined the parent-reported health-related QoL of 201 children aged 3-11 years living within a 0.

Addressing Selection Biases within Electronic Health Record Data for Estimation of Diabetes Prevalence among New York City Young Adults: A Cross-Sectional Study.

Introduction: There is growing interest in using electronic health records (EHRs) for chronic disease surveillance. However, these data are convenience samples of in-care individuals, which are not representative of target populations for public health surveillance, generally defined, for the relevant period, as resident populations within city, state, or other jurisdictions. We focus on using EHR data for estimation of diabetes prevalence among young adults in New York City, as rising diabetes burden in younger ages call for better surveillance capacity.

A qualitative exploration of the implementation facilitators and challenges of a community health worker program to address health disparities for people recently released from incarceration using the consolidated framework for implementation research.

Background: Despite the potential for community health worker (CHW)-led programs to improve the health of people with justice involvement (PWJI), little is known about the practical implementation of such models. We explored barriers and facilitators to implementation of a municipal CHW program, the Health Justice Network (NYC HJN), led by the New York City Department of Health and Mental Hygiene (DOHMH) in partnership with three reentry-focused community-based organizations (CBOs) and three federally qualified health centers (FQHCs) that was designed to serve the health and social service needs of PWJI.

Methods: Eighteen in-depth qualitative interviews were conducted with a purposive sample of CHWs, partner site supervisors, and DOHMH staff.