Programs and Communities
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- Creators: Mihaleva, Galina
- Creators: Lloyd, Kristen
- Creators: Chen, Angela
There is an increase in the prevalence of mental health problems in the United States. Healthy People 2020’s leading mental health indicator is to increase the delivery of care to those with mental health issues and lower the number of youth who experience a major depressive disorder. Teachers and non-teaching staff are well placed in the community to identify youth undergoing emotional distress and facilitate early interventions, yet do not receive adequate training in mental health.
A project was undertaken to determine if a mental health training intervention affected the community youth mentors knowledge, attitude and self-efficacy towards helping youth with mental health issues. Three instruments with good validity and reliability namely Mental Health Literacy Scale (MHLS), Attitudes to Severe Mental Illness (ASMI) scale, and Gatekeeper Behavior Scale were used in pre intervention, immediately post intervention and two weeks post intervention questionnaires. The Wilcoxon Signed Ranks test indicated changes in the pre and post intervention scores as significant in knowledge, and attitude between pre intervention and immediately post intervention time periods. Cohen’s effect size value suggested large, medium, small, and minimum clinical significance in the variables over period of time.
Mental health literacy narrows the gap between symptom onset and intervention. Numerous mental health trainings are currently available worldwide. Schools and after school clubs in collaboration with hospital mental health and other community agencies are better equipped to bridge the gap. School staff report better confidence in addressing mental health and behavioral health issues among youth when equipped with additional resources within the school in the form of psychologists, social workers, and counselors.
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.
Methods: A project was undertaken at an outpatient behavioral setting in urban Arizona to determine the use and effectiveness of a mental health app called insight timer to reduce anxiety symptoms. Adult clients with anxiety symptoms were provided with the insight timer app to use over a period of eight weeks. Anxiety was evaluated with the GAD-7 scale initially and after the eight weeks of app use. Usability and the quality of the app were assessed with an app rating scale at the end of the eight weeks.
Results: Findings of the Wilcoxon Signed Ranks test indicated changes in pre and posttest assessment scores as significant (p = .028), which is a significant reduction in anxiety among seven clients who completed the 8-week intervention. the mean TI score was 15.57 (SD = 4.9), and the mean T2 score was 7.71 (SD = 5.7). Besides, Cohen's effect size value (d = 1.465) suggested large clinical significance for GAD7 in pre and posttest.
Discussion: Evidence suggests that the use of an evidence-based app can effectively reduce anxiety symptoms and improve the quality of life. The use of mental health apps like insight timer could reduce health care costs associated with unnecessary hospital admissions as well as re-hospitalizations. The routine use of apps such as the insight timer may also be beneficial to all the clients who have anxiety symptoms in outpatient as well as inpatient settings.
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 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 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.