Programs and Communities
The collection collates collections by schools, centers, programs, and research groups.
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- All Subjects: Newark, New Jersey
The New Jersey Childhood Obesity Study was designed to provide vital information for planning, implementing, and evaluating interventions aimed at preventing childhood obesity in five New Jersey municipalities: Camden, Newark, New Brunswick, Trenton, and Vineland. These five communities are being supported by the Robert Wood Johnson Foundation’s New Jersey Partnership for Healthy Kids program to plan and implement policy and environmental change strategies to prevent childhood obesity. Effective interventions for addressing childhood obesity require community-specific information on
who is most at risk and on contributing factors that can be addressed through tailored interventions that meet the needs of the community. Based on comprehensive research, a series of reports are being prepared for each community to assist in planning effective interventions.
The main components of the study were:
• A household telephone survey of 1700 families with 3–18 year old children,
• De-identified heights and weights measured at public schools,
• Assessment of the food and physical activity environments using objective data.
This report presents the results from the household survey. Reports based on school body mass index (BMI) data and food and physical activity environment data are available at www.cshp.rutgers.edu/childhoodobesity.htm.
The maps in this chartbook describe the food environment in ewark in terms of access to supermarkets, smaller grocery stores, convenience stores, and limited service restaurants. Research shows that when residents have access to healthy food outlets, they tend to eat healthy.
• Food environment maps were created using geo-coded commercially available data of food outlets (InfoUSA, 2008 and Trade Dimensions, 2008) in Newark and in a 1 mile buffer area around Newark.
•Using the commercial data and additional investigation, food outlets were classified into different categories based on their likelihood of carrying healthy choices: supermarkets carry most healthy choices; smaller grocery stores carry fewer healthy choices; convenience stores and limited service restaurants are likely to carry mostly unhealthy choices.
• Access to different types of food outlets was computed at the census block group level based on concentration of stores / restaurants per unit area and is reported as food outlet densities.
• Food outlet density maps are compared with Census 2000 data to visualize accessibility of healthy foods in neighborhoods with different characteristics.
Data Sources: Info USA food outlet 2008 data
Trade Dimensions food outlet 2008 data
Census 2000 data
New Jersey Department of Education 2008-2009 data
The maps in this chartbook describe the food environment in Trenton in terms of access to supermarkets, smaller grocery stores, convenience stores, and limited service restaurants. Research shows that when residents have access to healthy food outlets, they tend to eat healthy.
•Food environment maps were created using geo-coded commercially available data of food outlets (InfoUSA, 2008 and Trade Dimensions, 2008) in Trenton and in a 1 mile buffer area around Trenton.
•Using the commercial data and additional investigation, food outlets were classified into different categories based on their likelihood of carrying healthy choices: supermarkets carry most healthy choices; smaller grocery stores carry fewer healthy choices; convenience stores and limited service restaurants are likely to carry mostly unhealthy choices.
• Access to different types of food outlets was computed at the census block group level based on concentration of stores / restaurants per unit area and is reported as food outlet densities.
•Food outlet density maps are compared with Census 2000 data to visualize accessibility of healthy foods in neighborhoods with different characteristics.
Data Sources: Info USA food outlet 2008 data
Trade Dimensions food outlet 2008 data
Census 2000 data
New Jersey Department of Education 2008-2009 data
Purpose: This project sought to evaluate the gap that exists between best practice and current practice, for sepsis identification and EGDT implementation.
Methods: The project was completed over a four-month period with prior Institutional Review Board (IRB) approval and consisted of evaluation of sepsis knowledge and barriers to EGDT. Questionnaires included demographics, sepsis knowledge, barriers to EGDT and AHRQ quality indicators toolkit.
Results: Sample (N=16) included registered nurses (RN) and healthcare providers. Descriptive statistics were utilized for evaluation of questionnaires. Results indicate staff have sound understanding of signs and symptoms of sepsis, however application through case studies demonstrated lower performance. Overall system barriers were minimal, with greatest barriers in central line monitoring and staff shortages. High level unit teamwork exists within the ED, however collaboration is lacking between ED staff and upper management. Results demonstrate moderate disengagement between upper management and staff leading to miscommunication. Recommendations included increased, consistent sepsis education, utilization of Institution for Healthcare Improvement (IHI) triple aim framework for evaluating systems, implementing a closed loop approach to communication, and having a staff champion for sepsis be included in meetings with upper management.
Children often present to the emergency department (ED) for treatment of abuse-related injuries. ED healthcare providers (HCPs) do not consistently screen children for physical abuse, which may allow abuse to go undetected and increases the risk for re-injury and death. ED HCPs frequently cite lack of knowledge or confidence in screening for and detecting child physical abuse.
The purpose of this evidence-based quality improvement project was to implement a comprehensive screening program that included ED HCP education on child physical abuse, a systematic screening protocol, and use of the validated Escape Instrument. After a 20-minute educational session, there was a significant increase in ED HCP knowledge and confidence scores for child physical abuse screening and recognition (p < .001). There was no difference in diagnostic coding of child physical abuse by ED HCPs when evaluating a 30-day period before and after implementation of the screening protocol.
In a follow-up survey, the Escape Instrument and educational session were the most reported screening facilitators, while transition to a new electronic health system was the most reported barrier. The results of this project support comprehensive ED screening programs as a method of improving HCP knowledge and confidence in screening for and recognizing child physical abuse. Future research should focus on the impact of screening on the diagnosis and treatment of child physical abuse. Efforts should also be made to standardize child abuse screening programs throughout all EDs, with the potential for spread to other settings.
The maps in this chartbook describe the physical activity environment in Newark in terms of geographic distribution of parks and physical activity facilities. Research shows that people who have access to these facilities are more likely to be physically active.
• The maps in this chartbook were created using physical activity facilities data from a commercial database (lnfoUSA, 2008), data from city departments, as well as information obtained from systematic web searches. The maps present data for the city of Newark and for a 1 mile buffer area around Newark.
• Physical activity centers include private and public facilities which offer physical activity opportunities for children 3-18 years of age.
• Physical activity environment maps are compared with Census 2000 data to visualize accessibility of physical activity opportunities in neighborhoods with different characteristics.
• Poverty level presented in this chartbook are based on the 2000 Federal Poverty Guidelines.
• Crime rates in Newark are presented at the census block group level as relative crime risk (CrimeRisk) obtained from a commercial data source (Applied Geographic Solutions, 2008). CrimeRisk - an index value derived from modeling the relationship between crime rates and demographics data - is expressed as the risk of crime occurring in a specific block group relative to the national average. For this chartbook, data on total CrimeRisk, which includes personal and property crimes, are reported.
This brief summarizes the different types of food stores open in Newark, New Jersey and in a one mile radius around the city during 2008 to 2014.
