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- All Subjects: Mental Health
- All Subjects: Cancer
- Member of: Doctor of Nursing Practice (DNP) Final Projects
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.
Routine cervical cancer screening has significantly decreased the mortality rate of cervical cancer. Today, cervical cancer predominantly affects those who are rarely or never screened. Government programs are in place to provide cervical cancer screening at little to no cost, yet screening rates remain suboptimal.
This project evaluated an evidence-based intervention to increase cervical cancer screening among underserved women in a federally qualified health center (FQHC). Female patients ages 21 to 65 years without history of hysterectomy (n=1,710) were sent reminders to their phones through the electronic health record (EHR). The message included educational material about the screening process and an announcement regarding government aid for free or reduced cost screening.
The number of patients who made an appointment after receiving the message was assessed two months later. In total, 156 responses were collected, and 28 patients made an appointment for screening. The most frequently observed category of Ethnicity was Hispanic/Latina (n = 24, 86%). The most frequently observed category of Insurance was Title X (n = 13, 46%). The observations for Age had an average of 41.04 (SD = 9.93). Using an EHR communication function to send motivational reminders has shown some promise for increasing cervical cancer screening, thereby reducing cervical cancer mortality among the underserved.
Purpose: To collect and analyze participant demographic information and explore use of instruments to measure perceived social support and quality of life at a local cancer support program. Specific objectives included:
1. Gather and analyze participant demographic information and program utilization by participants for a non-profit cancer support agency.
2. Assess the extent to which those using the support programs experience perceived social support (PSS) and quality of life (QOL).
3. Assess the utility of the survey process and selected instruments to guide program planning.
Background: Obtaining the diagnosis of cancer is traumatic, but support groups assist in emotional healing among group members. There is strong evidence correlating support group participation with PSS and QOL. The Wilson and Cleary model of QOL clearly links social support and QOL and provided the conceptual framework for this project.
Methods: A survey for self-reported participant demographics, support activities, QOL scores, and PSS scores was implemented. Both online and pencil and paper surveys were available. Instruments included the Flanagan Quality of Life Scale (Cronbach’s α = .82 to .92) and the Multidimensional Scale of Perceived Social Support Scale (Cronbach’s α = 0.91) and a demographic survey created for this project.
Outcomes: All but one survey was completed online (n=48). Respondents were primarily white, female, cancer free at the time of the survey, and over the age of 55. QOL and PSS scores within this sample emulated previous research of correlations between instruments and people with chronic illnesses.
Conclusion: Correlations of sample demographics and instrument scores reflected current literature; this project validates an effective and affordable means to evaluate program effectiveness. Future use of the survey is to better tailor services to meet the objectives of the agency to improve QOL for all individuals affected by cancer.
Keywords: Cancer, support group, quality of life, perceived social support