Programs and Communities
Filtering by
- All Subjects: Advance Care Planning
- All Subjects: Body mass index
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 tables and graphs in this chartbook were created using data collected by Camden Public Schools for the school year 2008-2009. Rutgers Center for State Health Policy obtained de-identified data from the schools and computed a BMI score and a BMI percentile (BMIPCT) for each child. Weight status is defined using the following BMIPCT categories.
BMIPCT
BMIPCT < 85
BMIPCT ~ 85
BMIPCT ~ 95
BMIPCT ~ 97
Weight Status
Not Overweight or Obese
Overweight and Obese
Obese
Very Obese
BMIPCT categories are presented at the city level and in sub-group analysis by age, gender, and race. Aggregate data are also presented at the school level, with notation, where representativeness of the data was a concern.
Tables and graphs on pages 5, 7, 9, and 11 show comparisons with national estimates (National Health and Nutrition Examination Survey, 2007-2008). The national data are representative of all 2-19 year old children in the US.
Each graph and table is accompanied by brief summary statements. Readers are encouraged to review the actual data presented in tables and graphs as there is much more detail.
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 New 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 I<ids 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.
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.