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Background: Non-Veteran Affair (VA) mental health care facilities are admitting increased numbers of military affiliated members due to recent changes, allowing veterans to outsource healthcare at civilian treatment centers. The VA reports less than 9 million veterans enrolled in VA services, leaving over 50% seeking treatment from civilian providers. Given

Background: Non-Veteran Affair (VA) mental health care facilities are admitting increased numbers of military affiliated members due to recent changes, allowing veterans to outsource healthcare at civilian treatment centers. The VA reports less than 9 million veterans enrolled in VA services, leaving over 50% seeking treatment from civilian providers. Given the high prevalence of Posttraumatic Stress Disorder (PTSD) in the military population, it is imperative to implement a valid and reliable screening tool at primary care facilities to ensure timely and accurate diagnosis and treatment.

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.
ContributorsCowart, Amanda (Author) / Chen, Angela (Thesis advisor)
Created2020-05-06
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Capturing and presenting high-quality data can be challenging for free clinics due to lack of resources and technology avoidance. If free clinics are unable to present impactful data to current and potential donors, this may limit funding and restrict care provided to underserved and vulnerable populations. The following is a

Capturing and presenting high-quality data can be challenging for free clinics due to lack of resources and technology avoidance. If free clinics are unable to present impactful data to current and potential donors, this may limit funding and restrict care provided to underserved and vulnerable populations. The following is a quality improvement project which addresses utilization of information systems within a free clinic. For one month, volunteer providers completed appointment summary forms for each patient seen in the clinic. Electronic form submissions (E=110) were compared to paper form submissions (P=196), with quality of data determined by form completeness scores. Welch’s t-test was used to determine statistical significance between electronic and paper form completeness scores (E=9.7, P=8.5) (p < .001). Findings suggest that utilization of electronic data collection tools within a free clinic produce more complete and accurate data. Barriers associated with technology utilization in this under-resourced environment were substantial. Findings related to overcoming some of these barriers may be useful for future exploration of health information technology utilization in under-resourced and technology avoidant settings. Results warrant future investigation of the relationship between quality of free clinic data, information management systems, provider willingness to utilize technology and funding opportunities in free clinics.
Created2021-04-24
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Description

Homeless individuals encounter barriers such as lack of health insurance, increased cost of care and unavailability of resources. They have increased risk of comorbid physical disease and poor mental health. Depression is a prevalent mental health disorder in the US linked to increased risk of mortality. Literature suggests depression screening

Homeless individuals encounter barriers such as lack of health insurance, increased cost of care and unavailability of resources. They have increased risk of comorbid physical disease and poor mental health. Depression is a prevalent mental health disorder in the US linked to increased risk of mortality. Literature suggests depression screening can identify high-risk individuals with using the patient health questionnaire (PHQ-9).

The objective of this project is to determine if screening identifies depression in the homeless and how it impacts healthcare access. Setting is a local organization in Phoenix offering shelter to homeless individuals. An evidence-based project was implemented over two months in 2019 using convenience sampling. Intervention included depression screening using the PHQ-9, referring to primary care and tracking appointment times. IRB approval obtained from Arizona State University, privacy discussed, and consent obtained prior to data collection. Participants were assigned a random number to protect privacy.

A chart audit tool was used to obtain sociodemographics and insurance status. Descriptive statistics used and analyzed using Intellectus. Sample size was (n = 18), age (M = 35) most were White-non-Hispanic, 44% had a high school diploma and 78% were insured. Mean score was 7.72, three were previously diagnosed and not referred. Three were referred with a turnaround appointment time of one, two and seven days respectively. No significant correlation found between age and depression severity. A significant correlation found between previous diagnosis and depression severity. Attention to PHQ-9 varied among providers and not always addressed. Future projects should focus on improving collaboration between this facility and providers, increasing screening and ensuring adequate follow up and treatment.

ContributorsParamo, Cinthia Arredondo (Author) / Thrall, Charlotte (Thesis advisor)
Created2020-05-04