Programs and Communities
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- All Subjects: Primary Health Care
- All Subjects: Newark, New Jersey
Background: Healthcare providers are encouraged to prepare their practice to effectively manage the care of mild to moderate adolescent depression. Cost-effective screening, diagnostic, and newly developed pediatric primary care depression management guidelines have been established. To integrate guidelines into practice, primary care providers (PCPs) must document effectively to ensure a complete treatment plan is in place in the patient’s electronic health record (EHR).
Intervention: Elements from a flowsheet were implemented into the EHR to promote thorough assessment and documentation of care delivered to adolescents with depression.
Methods: An initial chart review was completed on patients diagnosed with depression. An updated depression template was implemented within the EHR for six weeks. A follow-up chart review was completed post-intervention to determine if documentation of elements from the adolescent depression guidelines improved after the EHR update. Pre-intervention and post- intervention surveys were delivered to PCP’s to understand their perspective on adolescent depression management.
Outcomes: The chart review revealed that baseline PHQ-9 screenings were documented in 91% (n=43) of the charts reviewed in the pre-intervention timeframe. Only 78% (n=7) of the charts reviewed during post-intervention included PHQ-9 screenings. Early intervention treatment options documented in the pre-intervention timeframe included education 100% (n=47), medication prescriptions 53% (n=25), and psychotherapy referrals 18% (n=18). During post- intervention, education 100% (n=9), medication prescriptions 78% (7), and psychotherapy referrals 22% (n=7) were documented by the PCPs.
Recommendation: The quality improvement project focused heavily on documentation completed over a one year pre-intervention timeframe compared to a six-week post-intervention timeframe. Further evaluation and chart review over the next year will provide a more adequate comparison of documentation within primary care practice.
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.
Method: This project aimed to provide an evidence-based education for intake nurses to understand prevalence of PTSD and to use a screening tool Primary Care PTSD for DSM-5 (PC-PTSD-5) in a non-VA behavioral health facility.
Setting: The project site was a civilian behavioral health facility located in West Phoenix Metropolitan area. The behavioral health facility serves mental health and substance abuse needs. Project implementation focused on the intake department.
Measures: Sociodemographic data, PTSD diagnosis criteria, prevalence and PC-PTDSD-5 screening tool knowledge collected from pre and posttest evaluation. Patients’ charts for those admitted 6-week before and 6-week after the education to calculate numbers of screening tools completed by nurses at intake assessment.
Data analysis: Descriptive statistics was used to describe the sample and key measures; the Wilcoxon Signed Rank Test was used to examine differences between pre-test and post-test scores. Cohen’s effect size was used to estimate clinical significance.
Results: A total of 23 intake nurses (87.0% female, 65.2% 20-39 years old, 52.2% Caucasian, 95.6% reported having 0-10 years of experience, 56.5% completed Associate’s degree) received the education. For PTSD-related knowledge, the pre-test score (Mdn = 6.00) was significantly lower than the post-test score (Mdn = 10.00; Z= -4.23, p < .001), suggesting an increase of PTSD knowledge among nurses after the education. Regarding the diagnosis, the percentage of patients who were diagnosed with PTSD increased from (0.02% to 20% after the education).
Discussion: An evidence-based education aimed at enhancing intake nurses’ knowledge, confidence and skills implementing a brief and no-cost PTSD screening tool showed positive results, including an increase of PTSD diagnosis. The implementation of this screening tool in a civilian primary mental health care facility was feasible and helped patients connect to PTSD treatment in a timely fashion. Continued use of paper version of screening tool will be maintained at facility as an intermediary solution until final approval through parent company is received to implement into electronic medical records.
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.
Implementation of a Suicidal Ideation Treatment Algorithm in a Military Medicine Primary Care Clinic
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