Dissertations / Theses on the topic 'Transfer admissions'

<p> The purpose of this study was to report a more inclusive postsecondary graduation rate figure, improve the ability of postsecondary institutions to predict the likelihood that a student will graduate, and to help address challenges presented by the United States President and by the Kentucky General Assembly. The more inclusive graduation rate calculation is in contrast to the prevailing National Center for Education Statistics' (NCES) Graduation Rate Survey (GRS) calculation. The calculations used in this study incorporated data from the National Student Clearinghouse's (NSC) StudentTracker systems. The research population used in this study consisted of students who initially enrolled at the University of Louisville (UofL) in academic years 2000-01, 2001-02, or 2002-03. Using a more inclusive graduation rate calculation that counted a student as having graduated from any postsecondary institution, not just the institution where they initially enrolled yielded a graduation rate that was 10 percent higher for the research population than was reported under the prevailing methodology. The study created a Graduation Likelihood Model (GLM) to predict the likelihood that a first-time, full-time bachelor-degree-seeking student will graduate within six academic years. Eight independent variables were examined through chi-square and logistic regression (logit). The eight variables examined were gender, race/ethnicity, ACT, High School Grade Point Average (HSGPA), public high school (HS) vs. private HS, HS distance from campus, state/federal-grant/scholarship financial aid, and federal loan financial aid. In addition to running chi-square and logit on each variable, the procedures were run on the variables after they were included in four distinct categories: demographic, academic, pre-postsecondary academic and financial aid. The chi-square results showed that with the exception of HSGPA there was an association, albeit small, between the variables and successful graduation. All variables including HSGPA are to be used in the GLM, which can be used by postsecondary institutions to predict, at the time a student applies to the institutions, the likelihood that a student will graduate within six academic years. The GLM and the new calculation of graduation rates relate to initiatives set out by both the state of Kentucky and current US President Barack Obama. The new calculation provides a better way of assessing student achievement. At the time of initial enrollment, the GLM can be used to identify students, who may need additional assistance to obtain their degrees. .</p>

Allocating resources to variable bitrate (VBR) teletraffic sources is not a trivial task because the impact of such sources on a buffered switch is difficult to predict. This problem has repercussions for call admission control (CAC) on asynchronous transfer mode (ATM) networks. In this thesis we report on investigations into the nature of several types of VBR teletraffic. The purpose of these investigations is to identify parameters of the traffic that may assist in the development of CAC algorithms. As such we concentrate on the correlation structure and marginal distribution; the two aspects of a teletraffic source that affect its behaviour through a buffered switch. The investigations into the correlation structure consider whether VBR video is selfsimilar or non-stationary. This question is significant as the exponent of self-similarity has been identified as being useful for characterising VBR teletraffic. Although results are inconclusive with regards to the original question, they do show that self-similar models are best able to capture the video data's behaviour. The investigations into the marginal distributions are in two parts. The first considers applying a structured Markovian model to ATM data and demonstrates how model parameters can be estimated from measurable properties of teletraffic data. This has implications for parametric CAC. The second part considers the use of stable distributions in teletraffic characterisation and modelling. We show that several teletraffic datasets are heavy tailed and then develop a framework for the estimation of stable distribution parameters. We finish by considering the effective bandwidths of stable distributions and models and by considering the effect of stable parameters on model behaviour. This is done in an attempt to develop a CAC algorithm based on the paradigms of self-similarity and stable distributions.

This research study investigated the relationship to the pre-enrollment factors of admissions-to-enrollment and orientation-to-enrollment timespans to transfer student success as measured by persistence and the length of time taken to earn a baccalaureate degree. This quantitative study analyzed secondary data (N = 357) from a large, four-year, public research institution in the southeast United States. A logistic regression analysis was used to explore the relationships between the pre-enrollment timespans and persistence. The relationship between the admissions-to-enrollment timespan and persistence was not statistically significant. The orientation-to-enrollment timespan was found to have a statistically significant relationship to persistence (p < .05). This indicated that students who had increased orientation-to-enrollment timespans were more likely to persist. To further explore this relationship, a multiple logistic regression analysis was conducted to control for possible extraneous demographic, pre-enrollment, and enrollment variables. The relationship of orientation-to-enrollment timespan and persistence continued to be statistically significant. An ordered logistic technique was used to explore the relationship between the admissions- and orientation-to-enrollment timespans and time-to-degree completion. Neither timespan was found to have a significant relationship with time elapsed to complete the degree. Implications for admissions and orientation timespans were discussed in relation to transfer student transitions.

The overall aim of the present thesis was to study factors related to transfers of older people between nursing homes, emergency department and hospital care. The thesis was based on four studies and used three methods: focus group discussions, structured review of electronic healthcare records, semi-structured interviews with registered nurses and general practitioners. Study I: nursing home nurses found it difficult to decide whether older residents should be referred to hospital from the nursing home. Hospital registered nurses reported often trying to stop premature discharges or having to carry out the discharge although it had not been fully prepared. Study II: transfer rate to ED was 594 over 9 months among a total of 431 residents (M 1.37 each). 25% were caused by falls and/or injuries, 63% resulted in hospitalization (M 7.12 days). The transfer rate was 0.00-1.03 transfers/bed; it was higher for private for-profit providers than for public/private non-profit providers. Study III: nursing homes with high transfer rates had fewer updated advance care plans than did nursing homes with lower transfer rates. More nurses from nursing homes with low transfer rates had a specialist education and training in dementia care and had worked longer in eldercare. Study IV: general practitioners perceived registered nurses’ continuity, competence and collaboration with family members as important to quality of care in nursing homes; inadequate staffing, lack of medical equipment and less-than-optimal IT systems for electronic healthcare records are impediments to patient safety. The findings indicate that organizational factors could explain differences in transfer rates between nursing homes. The studies highlight the importance of advance care planning together with residents and family members in facilitating future medical decisions. Registered nurses’ continuity and competence are perceived as crucial to quality of care. To meet increasing demands for more complex medical treatment at nursing homes and to provide high-quality palliative care several changes should be made: Nursing homes should be equipped with suitable medical equipment and registered nurse staff should be matched accordingly; importantly, registered nurses and general practitioners should be able to access each other’s healthcare record systems.

In this thesis, by being motivated from the challenges in perinatal networks, we address design, evaluation and flow control of a stochastic healthcare network where there exist multiple levels of hospitals and different types of patients. Patients are supposed urgent; thus they can be rejected and overflow to another facility in the same network if no service capacity is available at their arrival. Rejection of patients due to the lack of service capacity is the common phenomenon in overflow networks. We approach the problem from both strategic and operational perspectives. In strategic part, we address a location & capacity planning problem for adjusting the network to better meet demographic changes. In operational part, we study the optimal patient admission control policies to increase flexibility in allocation of resources and improve the control of patient flow in the network. Finally, in order to evaluate the performance of the network, we develop new approximation methodologies that estimate the rejection probabilities in each hospital for each arriving patient group, thus the overflow probabilities among hospitals. Furthermore, an agent-based discrete-event simulation model is constructed to adequately represent our main applicationarea: Nord Hauts-de-Seine Perinatal Network. The simulation model is used to evaluate the performance of the complex network and more importantly evaluate the strength of the optimal results of our analytical models. The developed methodologies in this thesis are combined in a decision support tool, foreseen under the project "COVER", which aims to assist health system managers to effectively plan strategic and operational decisions of a healthcare network and evaluate the performance of their decisions.

Although much has been written about the challenges affecting transfer students, a mixed method study on transfer admission, particularly at the institutional level is an intriguing, albeit unexplored endeavor. In Texas, there is an added dimension of interest given the presence and popularity of the Top 10% Law. This study sought to provide a comprehensive portrait of transfer admission at The University of Texas at Austin from the 1990s to 2007. A sequential explanatory design was employed to identify changes in transfer admission policy and practice and to address if there were differences in admission rates among the major transfer pathways to the state’s largest flagship institution (Creswell, Plano Clark, Gutmann, & Hanson, 2003). Two main conclusions emerged from this study. First, transfer admission became more competitive and selective after the passage of the state’s Top 10% Law in 1997. Second, qualitative and quantitative findings suggested the implementation of a conditional transfer guarantee program for highly selective freshman applicants resulted in significantly less opportunity for transfer applicants from community colleges and other transfer routes to be admitted. Based on these findings, recommendations included reinvesting in a community college transfer student recruitment and scholarship program and significantly reducing the size of the university’s conditional transfer guarantee program for admissible freshmen applicants. A final suggestion was to identify and value the community college route in the holistic transfer admission process given the large proportion of first-generation college, low-income students who comprise this population. To avoid perceptions of sponsored mobility and to promote a social justice rationale, a pre-selection transfer program to prospective freshmen should be revisited given the adverse effects on the community college transfer population. With over 600,000 students enrolled in Texas 2-year colleges, a viable pathway to the state’s most prestigious flagship university provides increased opportunities for social mobility to the many competitively admissible first-generation and low-income students populating public 2-year colleges and seeking a baccalaureate degree from UT Austin.<br>text

博士<br>東海大學<br>工業工程與經營資訊學系<br>102<br>In order to construct and validate a risk prediction system of unplanned intensive care unit (ICU) transfer after emergency department (ED) admission, we conducted this observational study. The objective of study-1 was to compare the risk factors for unplanned ICU transfer after ED admission in patients with infections and in those without infections, and to explore the feasibility of using risk stratification tools for sepsis to derive a prediction system for such unplanned transfer. The objective of study-2 was to test if PIRO (predisposition, insult, response, and organ dysfunction) concept in sepsis can be used to predict risk of unplanned ICU transfer after ED admission. The ICU transfer group included 313 patients, while the control group included 736 patients randomly selected from those who were not transferred to the ICU. In study-1, patients with infection and non-infections were analyzed separately in the 1049 study patients for association with unplanned ICU transfer within 48 hours after ED admission. In study-2, Two-thirds of the 1049 patients were randomly assigned to a derivation group, which was used to develop the PIRO model, and the remaining patients were assigned to a validation group. In study-1, a total of 24 variables were associated with unplanned ICU transfer in patients with infections or in those without infections. Sixteen (66.7%) of these variables displayed association both in patients with infections and those without infections. These common risk factors included specific comorbidities, physiological responses, organ dysfunctions, and other serious symptoms and signs. Several common risk factors were statistically independent. In study-2, independent predictors of deterioration within 48 hours after ED admission were identified by the PIRO concept. PIRO scores were higher in the ICU transfer group than in the non-transfer group, both in the derivation group (median [mean  SD], 5 [5.7  3.7] vs. 2 [2.5  2.5]; p < 0.001) and in the validation group (median [mean  SD], 6 [6.0  3.4] vs. 2 [2.4  2.6]; p < 0.001). The proportion of ICU transfer patients with a PIRO score of 0–3, 4–6, 7–9, and ≥10 was 14.1%, 46.5%, 57.3%, and 83.8% in the derivation group (p < 0.001) and 12.8%, 37.3%, 68.2%, and 70.0% in the validation group (p < 0.001), respectively. The proportion of inpatient mortality in patients with a PIRO score of 0–3, 4–6, 7–9, and ≥10 was 2.6%, 10.1%, 23.2%, and 45.9% in the derivation group (p < 0.001) and 3.3%, 12.0%, 18.2%, and 20.5% in the validation group (p < 0.001), respectively. Our study found in study-1 that the risks of unplanned ICU transfer in patients with infections were comparable to those in patients with non-infections. The risk factors for unplanned ICU transfer included variables from multiple dimensions that could be organized according to the PIRO (predisposition, insult/infection, physiological response, and organ dysfunction) model, providing the basis for the development of a predictive system. We further found in study-2 that the PIRO concept of sepsis may be used in undifferentiated medical ED patients as a prediction system for unplanned ICU transfer after admission. We finally concluded that we successfully constructed a risk prediction model for unplanned ICU transfer after ED admission in undifferentiated medical ED patients.

Thesis (M.A.)--University of Nebraska-Lincoln, 2010.<br>Title from title screen (site viewed May 18, 2010). PDF text: iii, 52 p. Publication: Educational Administration: Theses, Dissertations, and Student Research. Includes bibliographical references.

Contexte: L’utilisation efficiente des ressources en soins intensifs représente un défi potentiellement surmontable dans un contexte de régionalisation des services. Conséquemment, il importe de convenir de critères homogènes et transparents permettant de trier et de transporter les patients là où ils peuvent recevoir les soins nécessaires à leur condition. Objectif: L’objectif principal de cette étude est d’identifier et d’évaluer les publications définissant les critères utilisés pour prioriser ou refuser une admission aux soins intensifs. Méthodes: Nous avons entrepris une revue systématique en accord avec les lignes directrices PRISMA. Nous avons identifié tous les articles pertinents publiés jusqu’au 8 novembre 2016 au moyen des bases de données PubMed, Embase, Medline, EBM Reviews, CINAHL Complete, les bases de données recensant la littérature grise ainsi qu’en effectuant une revue manuelle d’articles supplémentaires. Nous avons ensuite évalué la qualité des articles retenus selon une échelle d’appréciation que nous avons développée. Finalement, nous avons extrait puis évalué chaque critère individuel en plus de les regrouper par thème. Résultats: L’étude nous a permis d’identifier 5818 abrégés. Nous avons révisé 416 articles exhaustivement pour en retenir 129 qui correspondent aux critères d’inclusion. Il s’agit d’articles de recherche originale (34%), de lignes directrices (26 %) ou de revues de la littérature (21 %). Nous avons extrait 200 critères de triage et de transport au sein des 129 articles. Ceux-ci proviennent surtout des États-Unis (43 %) et privilégient un mécanisme d’exclusion (71 %) plutôt que de priorisation (17 %) des clientèles. Peu d’articles abordent les critères de transport (4 %). Nous avons classifié les critères selon qu’ils soient reliés à l’un ou l’autre des quatre thèmes qui ont émergé de notre analyse : au patient; à la condition clinique; au médecin qui évalue le cas; ou au contexte. Le critère le plus fréquemment cité est celui de la préférence du patient suivi de l’évaluation du médecin. Conclusion: Une revue systématique a permis de générer une liste de 200 critères utilisés pour prioriser ou exclure certains types de patients dans un état critique. Malgré les limites de notre étude, celle-ci peut permettre aux cliniciens et aux preneurs de décision de concevoir des politiques de triage et d’admission au niveau local, régional ou national. De plus, l’étude identifie des champs de recherche potentiels où le développement de critères spécifiques et mesurables pourrait contribuer au développement de lignes directrices diminuant la variabilité dans les pratiques et améliorant le processus d’admission aux soins intensifs.<br>Context: Intensive care bed unavailability negatively affects patients' outcomes. Strategies that reduce inefficient use of resources and reduce unavailability may increase quality and accessibility of critical care. As advocacy for regionalization of critical care resources increases, there is a need for agreed triage and transport criteria. However, outside of the trauma population, such agreed criteria and recommendations are lacking. Objective: We aimed to identify and appraise articles defining criteria used to prioritize or withhold a critical care admission. Methods: We undertook a systematic review according to PRISMA guidelines. Relevant articles were identified through searches of PubMed, Embase, Medline, EBM Reviews, CINAHL Complete from inception until November 8th, 2016. We also undertook searches through gray literature as well as a manual review of references. We then assessed the quality of identified articles through an appraisal scale we developed. Finally, we extracted and evaluated all criteria within the articles and grouped them by theme. Results: A total of 5818 abstracts were identified. After screening, we reviewed 416 articles in full and 129 articles met study criteria. These articles were mainly original research (34%), guidelines (26%) and reviews (21%). Amongst them, we identified 200 unique triage and transport criteria. Most articles were published in the United States (43%) and highlighted exclusion criteria (71%) rather than a prioritization mechanism (17%). Very few articles pertained to transport of critically ill patients (4%). We classified criteria as they related to one of four emerging themes: patient, condition, physician and context. The most commonly found triage criteria was patient preference followed by physician’s assessment that the patient was too well to benefit from ICU admission. Conclusion: A systematic review aimed at identifying triage and transport criteria used to prioritize or exclude certain patient populations under different settings helped to generate a list of 200 criteria classified within 4 themes. Despite its limitations, this study may help clinicians and decision makers devise local, regional or national ICU triage criteria. It also identifies gaps in knowledge where future clinical research yielding specific and measurable criteria tailored to clearly defined patient populations may help to decrease ICU triage variability.

This qualitative exploratory research study examined the experiences of older women (over age 55) whose husbands had been admitted to a personal care home (PCH) in Winnipeg, Manitoba within the previous twelve (12) months. In-depth, semi-structured, one-on-one interviews were conducted with six (6) women. Socialist feminist and feminist caregiving theoretical frameworks along with narrative analysis were used gain insight into the participants’ needs surrounding their experiences of the admission. Findings include the fact that changes in women’s formal and informal supports began occurring years before their husbands’ admissions. The all-encompassing role as caregiver for their families continued to be central in their lives even after the admission. While women met their material and emotional needs through a range of formal and informal services, the participants were more likely to see needs met through informal means. Themes emerging from the research included those of guilt, entitlement, obligation, and reciprocity.