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Exploring the Unique Experiences of Support Staff in a Posthospital Residential Rehabilitation Center for Individuals with Traumatic Brain InjuriesChambers-Baltz, Stephanie Marie 01 August 2022 (has links)
Employee turnover is a major issue that health care organizations experience. One factor that contributes significantly to turnover is burnout. A significant amount of research on burnout has been conducted in health care settings, however it has primarily focused on health care professionals. Several job characteristics that associated with burnout may be particularly impactful for non-professionals. An area of health care that provides unique challenges and stressors is that of traumatic brain injury rehabilitation. Brain injury professionals report experience burnout and report experiencing higher levels of burnout the more time they spend with patients. There is a lack of research on the unique experiences of support staff in traumatic brain injury rehabilitation centers. This study explored the phenomena of burnout, turnover, and job satisfaction from the perspective of support staff in a post-hospital brain injury rehabilitation center. I conducted group interviews and administered surveys to explore the unique experiences of support staff. I used grounded theory method to analyze data. The analysis resulted in a balance model of support staff’s work experience. This model is a framework of risk and protective factors that appeared to influence whether these frontline rehabilitation staff experienced negative outcomes from this often challenging/stressful work environment. The model includes four axial categories: Doing the Work; Protective Factors; Risk Factors; and Imbalance of Factors. Within the four axial categories are twenty open-coding level categories. Implications for brain injury rehabilitation organizations and areas for future research are discussed.
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Examining the State of Substance Use Treatment among Youth and Adults in the United StatesAdeniran, Esther Adejoke 01 May 2022 (has links) (PDF)
In the United States (US), substance use, misuse, and substance use disorders are significant public health problems. Additionally, the difference between needing substance use treatment (SUT) and receiving treatment is becoming more pronounced. Therefore, the aims of this dissertation include, 1) to synthesize evidence of barriers and facilitators to integrating SUT into mainstream health care (MHC) after the Affordable Care Act was nationally implemented in 2014, 2) to examine the rate of treatment completion and dropout, along with its associated factors, among youth who received Medication-Assisted Opioid Therapy (MAT), 3) to determine the relationship between prior treatment episodes and length of stay (LOS) among adults in residential rehabilitation facilities (RRF) and explore other predictors of LOS and, 4) to determine whether experiencing multiple treatment episodes and being in certain age groups was associated with longer wait period to enter SUT. The literature synthesis involved data from five databases and was informed by PRISMA. Quantitative analysis (aims 2-4) included log-binomial, Poisson, and logistic regression models using the Treatment Episode Data Set-Admissions and Discharges. Andersen’s Behavioral Model for Health Services was the conceptual framework used to inform aims 2-4. For aim 1, several patient, provider, and program/system-level barriers and facilitators were identified, which highlights the need to use a comprehensive approach to improve SUT adoption in MHC. For aim 2, among youth who received MAT, 43.9% completed treatment and 56.1% dropped out. Factors positively associated with treatment completion included MAT use, males, self-help group participation, admission to detoxification and residential/rehabilitation settings, and being in the Midwest/Western US; while minority races (excluding Blacks/African Americans) and being in the South resulted in lower likelihood. For aim 3, the average LOS in RRF was 16.4 days, and having ≥ 1 prior SUT episode (PSUTE) was associated with slightly higher LOS. Some predictors associated with lower LOS included age (18-34 years), males, being employed, private insurance, and being in the Northeast. For aim 4, a longer wait period was identified among clients 25-49 years and those with ≥5 PSUTEs. These factors should be considered to improve SUT use, and future studies should corroborate these findings.
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