Programs and Communities
The collection collates collections by schools, centers, programs, and research groups.
Filtering by
- All Subjects: Quality Improvement
- All Subjects: Groceries
Methods: At an urban primary care pediatric office located in the southwestern US, an educational quality improvement project for healthcare practice providers and front office staff was conducted to increase the utilization of the existing EMR-linked patient portal. The healthcare providers were asked to complete a pre- and post- survey evaluation of their knowledge and usage of the patient portal. Provider and patient portal data usage was collected over a five-month period, September 2019 to January 2020.
Results: Data was analyzed using the Intellectus Statistics softwareTM. Significant results were found at the conclusion of the project in the number of active patient portal users, web-enabled, portal logins, labs published/viewed, messages sent, appointment reminders and Santovia utilization. At the end of the project no significance was found with messages received by the healthcare providers or staff through the patient portal. Survey results found significant differences between pre- and post- portal usage. No significance was found on providers’ knowledge on how to web-enable patients. Providers’ also demonstrated no significant change in their perceptions of the benefit in utilizing the portal in patient care after the educational intervention. Survey results allowed for additional analysis of commonly utilized portal functionalities, disease or health topics utilized in Santovia, and suggestions on how to make the use of the patient portal easier for providers.
Implications for Health Care Providers: This quality improvement project found that implementation an EMR-linked patient portal requires a comprehensive practice approach with structured education sessions. Including all employees can improve patient portal utilization. This educational project resulted in significant increases in most portal functionalities within 5 months. Further practice change evaluations are needed to evaluate how to improve patient portal utilization with a larger group of participants in a variety of outpatient settings.
The New Jersey Childhood Obesity Study, funded by the Robert Wood Johnson Foundation, aims to provide vital information for planning, implementing and evaluating interventions aimed at preventing childhood obesity in five ew Jersey municipalities: Camden, Newark, New Brunswick, Trenton, and Vineland. These five communities are being supported by RWJF'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.
Using a comprehensive research study, the Center for State Health Policy at Rutgers University is working collaboratively with the State Program Office for New Jersey Partnership for Healthy Kids and the five communities to address these information needs. The main components of the study include:
• A household survey of 1700 families with 3 -18 year old children
• De-identified heights and weights data from public school districts
• Assessment of the food and physical activity environments using objective data
Data books and maps based on the results of the study are being shared with the community coalitions in the five communities to help them plan their interventions.
The maps in this chartbook describe the food environment in Vineland 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 (Info USA, 2008 and Trade Dimensions, 2008) in Vineland and in a 1 mile buffer area around Vineland.
•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 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
The maps in this chartbook describe the food environment in Camden 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 Camden and in a 1 mile buffer area around Camden.
•Using the commercial data and additional investigation, food outlets were classified into different categories based on their likeliliood 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 food s 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 ew Brunswick 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 (Info USA, 2008 and Trade Dimensions, 2008) in New Brunswick and in a 1 mile buffer area around New Brunswick.
•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
Background: Asthma is a chronic illness that impacts 10.9% of the pediatric population in Arizona. Poor asthma understanding and management leads to high-utilization of emergency rooms and urgent care clinics, negatively impacting the healthcare economy. Poor asthma management also leads to decreased health outcomes and impacts on the child’s academic functioning, mental health, and overall quality of life. Current evidence supports use of written asthma action plans (WAAP) and inhaler/spacer instruction to improve asthma management.
Methods: The intervention was an evidence-based educational session provided to the staff of a military, pediatric primary care clinic in southwest Arizona regarding the use of WAAP, the Asthma Control Test (ACT) and integrated inhaler/spacer instruction. Chart reviews were conducted to evaluate the documentation of use of WAAP, ACT, and inhaler/spacer education.
Results: Charts were collected from pre-intervention (n = 33) and post-intervention (n = 18). Data analysis demonstrated a statistically significant higher use of WAAP (U = 0.008, p < 0.05, d = 0.83). Although there was not a statistically significant change in use of ACT tool, Cohen’s value (d = 0.48) suggested a moderate positive effect. A Pearson correlation coefficient was also calculated for the relationship between use of ACT tool and use of WAAP, demonstrating a moderate positive correlation (r (49) = .372, p < .01).
Conclusions: An evidence-based education session for pediatric staff members is a cost-effective and simple method of improving pediatric asthma management practices.
Methods: A multifaceted intervention was utilized that included educational sessions for providers, adjustments to the electronic health record (EHR), access to toolkits, and workflow changes. Pediatric patients aged 5-18 years and diagnosed with asthma (N = 173) were evaluated using a pre-post design. Provider adherence to key components of clinical practice guidelines were assessed prior to implementation, and a three and six months post-implementation. Data was analyzed using descriptive statists and the Friedman’s ANOVA by rank.
Results: Provider education, EHR adjustments, provider toolkits, and changes to office workflow improved provider adherence to key aspects of asthma clinical practice guidelines. A significant difference was found between the pre and post implementation groups (p < .01).
Conclusion: Increased adherence to clinical practice guidelines leads to fewer complications and an overall improved quality of life. Continuing provider education is critical to sustained adherence.
