Programs and Communities
The collection collates collections by schools, centers, programs, and research groups.
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- All Subjects: Advance Care Planning
- All Subjects: Newark, New Jersey
Disease burden is higher in the United States than in comparable countries. The Patient Self Determination Act of 1990 requires healthcare facilities to provide Advance Care Planning (ACP) information to all Medicare patients. The healthcare staffs’ (n=7) commitment to 3-days of ACP training increase ACP rates in the primary care setting. The Medicare Incentive Program is the platform for this initiative. This quantitative project used a valid and reliable pre and posttest design that consisted of 27 items on a Likert-scale. A 3.5-month chart audit (n=91) was conducted to assess the completion rate. Descriptive statistics was used to describe the demographic data.
The results of the two-tailed Wilcoxon signed rank test were significant based on an alpha value of 0.05, V = 0.00, z = -2.37, p = .018. There was a significant increase in the post-readiness to change average scores. A Mann Whitney test was used to analyze the statistically significant difference between the averages in two ACP types and electronic health record documentation (EHR). Staff did not always code (Mdn = 0.00) but they documented in the EHR (Mdn =1.00; 512.00, p = 0.003). ACP discussion was performed 63% of the time during Annual Wellness Visits (AWV), and there was a 49% increase in the EHR documentation. Trained staff are key stakeholders in guiding ACP conversations. They understand the barriers, impact, and consequences related to the lack of advance directives.
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
Background and Significance: National regulations mandate that patients are provided information about advance directives in the healthcare setting, but completion rates are not monitored and continue to be low. ACP is now a billable service for healthcare providers, but it has not provided enough incentive to increase completion rates. Barriers for healthcare providers in the outpatient setting include lack of time, protocols, and lack of education on how to initiate and foster advance care planning discussions.
Methods: Healthcare providers in a primary care office attended a 15-minute structured educational session with and a toolkit was provided on the importance of ACP, how to initiate conversations with patients, and bill for the service. Participants completed a portion of the Knowledge, Attitudinal, and Experiential Survey on Advance Directives (KAESAD) survey assessing their confidence in ACP before and three months post intervention. Participant confidence (N = 6) in ACP was analyzed using the Wilcoxin test and descriptive statistics. The number of billed ACP services for the office was collected for four months post intervention and compared to the previous four months. Outcomes: A significant increase in provider confidence after participating in a multimodality education program was found in the results (Z = -2.21, p = .03). There was a 42.1% increase in the number of billed ACP discussions for the office in the four months post intervention.
Conclusion: The future desired state is that ACP discussions become standard practice in primary care leading to the completion of advance directives. This can be accomplished through formalized education sessions and resources for providers in order to increase their confidence in initiating ACP discussions with patients. The ultimate goal is to decrease unnecessary spending at end-of-life while improving patient and family satisfaction with the quality of care received at end-of-life.
The project used a mixed method design. Participants were recruited from a primary care practice. Descriptive statistics described the sample and outcome variable. An independent t- test measured if there were significant changes in the participant responses for the ACP survey.
The average age (standard deviation) of the chart review sample was 72.22 (SD=9.47). The ages ranged from 60 to 100 years of age. Most of the sample in the chart audit were female with 105 (53%) participants and 95 (48%) were male. Most of the sample, 183 (92.5%) reported having a chronic health condition and 17 (7.5%) of the sample reported having no chronic condition. Overall, the results were inclined towards a significant difference in participants who did the ACP discussions and those who did not when comparing completed AD forms.
As Baby Boomers age, the number of older homeless patients facing end of life is increasing. Homeless individuals die of the same diseases as their domiciled counterparts, but they have distinct barriers to equitable end-of-life care, such as lack of regular medical care, a higher likelihood of comorbid serious mental illness and substance abuse, alienation from potential healthcare proxies, and specific fears related to dying. Completion of an advance directive (AD) would address many of these barriers, as well as national goals of reducing medical costs associated with end of life care. A review of the literature indicates that homeless individuals, once educated on the purpose and significance of ADs, complete them at a higher rate than non-homeless people. Further, racial and ethnic disparities in document completion are minimized with educational interventions about an AD’s purpose.
King’s Theory of Goal Attainment provides the theoretical basis for the application of such an intervention in the setting of a medical respite center and a day resource center that both serve the homeless. Thirty-seven clients of the two sites and 14 staff members were administered a pre-and post-test measuring attitudes and knowledge relating to ADs on a Likert scale, resulting in an increase in knowledge about one of the two documents that traditionally comprise an AD, while not significantly affecting attitudes. Implications for practice include an inexpensive intervention that does not require a medically trained individual to deliver, enabling a broad application to a variety of settings with the goal of empowering a traditionally disenfranchised population to make health decisions related to the most vulnerable of life passages.
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.