Programs and Communities
The collection collates collections by schools, centers, programs, and research groups.
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- All Subjects: Prevention
- All Subjects: Groceries
Falls are prevalent among those aged 65 years and older and may result in minor to debilitating injuries in this vulnerable population. Frailty, unsteady gait, and medication side effects all contribute to fall risk as well as dementia, a type of cognitive impairment that disrupts memory and judgment leading to an underestimation of fall risk. Fall prevention evidence suggests that interventions aimed at decreasing fall rates begin with a fall risk assessment and tailored fall prevention measures that promote safety.
To examine the effectiveness of a fall prevention program in dementia care, an evidence-based pilot was conducted in a long-term care facility focused on dementia care. A convenience sample of 16 nurses received a fall prevention education intervention. A fall prevention knowledge instrument measured pre and post-fall prevention knowledge. There was a significant increase in fall risk knowledge from the pre-test (p < .001). The participants then conducted a fall risk assessment of 50 dementia patients using the Morse Fall Scale.
Of the 50 dementia patients, 28 were identified as high risk for falls. The nurses then instituted tailored fall risk prevention measures for those high risk for falls. As a result of the pilot, 40 fall events were noted within a three-month time period, reflecting a significant reduction in falls (p < .001) from the previous year. The institution of a fall prevention program in dementia care incorporating nursing education, a fall risk scale, and measures to promote safety can reduce fall risk in dementia patients.
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
Introduction: Pediatric delirium has a 25% prevalence rate in the pediatric intensive care unit (PICU). The project purpose was to implement a nonpharmacological nursing bundle in the PICU to assess the effects on delirium reduction.
Method: A nonpharmacological nursing bundle was implemented for PICU patients, 2-18 years of age, admitted to an Arizona metropolitan, children’s hospital. Data was collected using the Cornell Assessment of Pediatric Delirium (CAP-D) screening tool.
Results: Prebundle CAP-D and postbundle CAP-D scores (M=5.57, SD=5.78; M=7.10, SD=5.61) did not differ among the participants. Prebundle participants required an intervention 26.7% of the time for delirium compared to 31.6% in the postbundle population. No statistical significance was seen between the prebundle and the postbundle CAP-D scores t(59)=7.46; t(205)=18.17 (P=0.08, fisher’s exact test).
Discussion: Nonpharmacological bundles for delirium prevention are needed in the PICU. This project shows that significant barriers exist when implementing them in a complex pediatric environment.
Design: The primary hypothesis was that active participation as defined by contact with a sponsor of an hour or more per week, as measured by the impact on affective characteristics correlated with increased levels of sobriety, when measured by the AWARE questionnaire (Advance Warning of Relapse) within 7 days of entry and prior to discharge (within 30 days). Setting: The project took place in a residential treatment facility in Phoenix, Arizona.
Participants: There were 12 clients from a men’s house and 12 clients from a woman’s house, all of which were going through recovery. Intervention: The educational session explained what a sponsor is and the importance of finding one early as a key role in relapse prevention.
Measurements: Pre and post-test results were compared to see if there was an impact on the predictability of relapse and sponsorship. The paired t-test was performed to compare the two means of AWARE scores. A lower score on the AWARE questionnaire indicates a person is more likely to succeed in sobriety.
Findings: Based on 24 samples collected, the mean scores within the first seven days were 91.17 with a standard deviation of 18.59 and the mean score prior to discharge were 72.78 with a standard deviation (SD) of 20.02. The mean difference between the two scores was 18.39 (SD=2.84). There was a significant effect of the relapse prevention program which included sponsorship, t (22) = 4.79, p < 0.001.
Conclusion: Implications for practice include increased time with sponsors to reduce rates of relapse. Future concerns include good fit matching which may reduce rates of relapse even further.
Background and Significance: Drownings are the leading cause of death in one to four year old children in the United States. Arizona’s drowning rate is nearly double the national average for this age group. Water safety is an important anticipatory guidance topic a primary care provider should be discussing at all well visits. The Health Belief Model is an effective framework to guide family education interventions. It is strongly encouraged that providers incorporate water safety education into the developmental milestone discussions.
Methods: Ten providers recruited from six Arizona pediatric primary care clinics participated in an educational one-hour session. Providers were encouraged to prioritize water safety discussions within the one to four year old age group and deliver education in the context of individual child development. Additionally, providers were updated on water safety recommendations from the Center for Family Health and Safety at Phoenix Children’s Hospital. Supplemental handouts with developmental water safety information were given to each office to aid providers in parent education. A pre-survey was administered to the providers prior to the education session and a post-survey was given at an eight-week follow up. The surveys measured provider perception and current practices of water safety education and utilized a Likert scale to compare data sets. Current and retrospective chart reviews were conducted to evaluate sustainability of the educational intervention.
Outcomes/Results: Sixty percent of provider participants were Medical Doctors (MD) and 40% were Nurse Practitioners (NP) with experience ranging from one year to over 20 years. Following the education session, providers were more likely to discuss keeping a child at arms-reach at all times (p=0.046) during their well visits. There was also an increase in providers incorporating water safety discussions into milestone education (p=0.054).
Conclusion: This educational intervention empowered providers to deliver water safety education in the context of normal developmental milestones at each one to four year old well visit. The anticipatory guidance emphasizes to parents that the behaviors their children exhibit are healthy and normal, but also explains how achieving these milestones put their children at greater risk for drownings. This quality improvement project is part of a larger initiative to decrease the number of drownings in Arizona through education and policy