Thesis (M.S.)--Springfield College, 2004. / Includes bibliographical references.

Thesis (M.S.)--Eastern Illinois University, 2002. / Includes bibliographical references (leaves 70-78).

Dissertation (D.P.E.)-- Springfield College, 2005. / Bibliography: leaves 148-170.

Thesis (M.A. in human development)--Washington State University, May 2007. / Includes bibliographical references (p. 39-44).

Thesis (D.P.E.)--Springfield College, 2005. / Includes bibliographical references. Also available online (PDF file) by a subscription to the set or by purchasing the individual file.

Purpose: To appraise and synthesize the available evidence from previous systematic reviews concerning the impacts of goal setting on engagement in the rehabilitation process and on outcomes of participation and occupational performance for individuals with acquired brain injury (ABI). Material and method: Systematic review of systematic reviews. From a total of 175 hits in the search which was conducted in two parts, 16 full text articles were assessed for eligibility, from which four were selected to be included in the review. Results: Four systematic reviews of moderate quality consisting of variety of methodologies were included. The empirical evidence was limited but supportive that goal directed interventions may contribute to better engagement in rehabilitation and better outcomes of occupational performance. Limited evidence suggested that goal setting improved adherence to the treatment regimens and that patient’s active participation in goal setting had positive impact on patients and their engagement in the process. Findings suggested that goal-directed interventions, particularly in outpatient rehabilitation, may improve patients’ occupational performance. Findings related to participation outcomes were minimal. Conclusion: Goal setting is a complex and multidimensional process. Goal setting may contribute to improved engagement in rehabilitation and occupational performance outcomes for patients with ABI. / <p>Presentation was completed via Adobe Connect</p>

When creating and administering regulations, regulators have to demonstrate that regulations accomplish intended societal outcomes at costs that do not outweigh their benefits. While regulators have this responsibility as custodians of the regulatory ecosystem, they are also required to create and administer regulations transparently and impartially, addressing the needs and concerns of all stakeholders involved. This is in addition to regulators having to deal with various administrative bottlenecks, competing internal priorities, as well as financial and human resource limitations. Nonetheless, governments, regulated parties, citizens and interest groups can each express different views on the relevance and performance of a piece of regulation. These views range from too many regulations burdening business operations to perceptions that crises in society are the results of insufficient regulations. As such, regulators have to be innovative, employing methods that show that regulations are effective, and justify the introduction, evolution or repeal of regulations. The regulatory process has been the topic of various studies with several such studies exploring the use of information systems at the software level to confirm compliance with regulations and evaluate issues related to non-compliance. The rationale is that if information systems can improve operational functions in organizations, they can also help measure compliance. However, the research focus has been on enabling regulated parties to comply with regulations rather than on enabling regulators to assess or enforce compliance or show that regulations are effective. Regulators need to address concerns of too much regulations or too little regulations with data-driven evidence especially in this age of big data and artificial intelligence enhanced tools. A method that facilitates evidencebased decision-making using data for enacting, implementing and reviewing regulations is now inevitable. In response to the above challenges, this thesis explores the use of a goaloriented modelling method and a data analytics software, to create a method that enables monitoring, assessing and reporting on the effectiveness of regulations and regulatory initiatives. This Goal-oriented Regulatory Intelligence Method (GoRIM) provides an intelligent approach to regulatory management, as well as a feedback loop in the use of data from and within the regulatory ecosystem to create and administer regulations. To demonstrate its applicability, GoRIM was applied to three case studies involving regulators in three different real regulatory scenarios, and its feasibility and utility were evaluated. The results indicate that regulators found GoRIM promising in enabling them to show, with evidence, whether their regulations are effective.

AN ABSTRACT OF THE THESIS OF Stephanie Lo, for the Masters of Science degree in Behavior Analysis and Therapy, presented on May 11, 2017, at Southern Illinois University Carbondale. TITLE: INCREASING HEALTHY FOOD CHOICES AMONG INDIVIDUALS AT A RESIDENTIAL FACILITY. MAJOR PROFESSOR: Dr. Ryan N. Redner Obesity and being overweight are rising issues in the United States and present unique challenges for individuals with disabilities. Even though individuals with disabilities are one of the most at risk groups for overweight and obesity, research with this population is lacking. The present study sought to build on behavior analytic research targeting weight loss in individuals with disabilities. The study examined the effect of goal setting plus feedback on eating behavior, specifically caloric intake, in two adult females with comorbid psychiatric and developmental disabilities. Results were variable, with only one participant completing all phases in the study. However, the intervention (goal plus feedback) was effective in decreasing caloric intake for both participants. This study adds to the limited research currently published on weight loss interventions with individuals with disabilities. Additionally, implications for future behavior analytic interventions on eating behaviors were discussed. Keywords: disabilities, overweight, obesity, food choice, goal setting, feedback

Made available in DSpace on 2016-08-29T15:33:17Z (GMT). No. of bitstreams: 1 tese_5084_.pdf: 1868850 bytes, checksum: 22f46d96f48ef171f653cbcd277c6088 (MD5) Previous issue date: 2012-08-22 / Epidemiology is a field of study in Medicine which seeks to understand the factors that determine the frequency and distribution of diseases in humans. This field allows one to understand the phenomena of health and disease of a particular population by generating this populations epidemiological profile. The knowledge provided in this profile allows a shift in the focus from treating to preventing diseases, which is an important aim of the current Brazilian health care program. This dissertation proposes a system to study the epidemiological profile in a basic health care unit. This system applies an ontology as basis for modeling and querying the epidemiological information. An ontology is a conceptual model which captures an specific view of a domain of discourse. This model may be used to structure the systems information, which later can be queried also with basis on this same ontology. A preliminary validation of this systems prototype has shown that it is able to successfully generate the health care units epidemiological profile, providing new knowledge about the patients and treatments involved in this unit. Such prototype may now be applied in this real setting to guide the actions of health care professionals in dealing with hypertension and other health conditions. In order to develop the system, a goal-oriented methodology based on Tropos is applied. This methodology guides software development since an early stage of organizational modeling until the systems implementation by using current standards for ontology implementation. Many of the available ontology engineering methodologies presuppose the existence of a set of questions which provide the objective and scope of the ontology under development. However, these so-called competency questions are not always clear from start. The highlight of the proposed methodology is applying goal analysis to assist the ontology engineer to reason about and model competency questions. Following this view, such competency questions are comparable to system requirements, elicited and modeled during the requirements engineering stage of a software development process. Both the developed system and the proposed methodology are contributions of this work. However, while the former has proven to be useful in practice, further steps must be carried out in order to properly validate the latter, by applying it to other cases.

Submitted by Priscila Oliveira (priscila.b.oliveira@ufes.br) on 2016-07-12T12:40:28Z No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) cp128327.pdf: 6590453 bytes, checksum: 5654758329fe7af83bec07339d8a3ffb (MD5) / Approved for entry into archive by Patricia Barros (patricia.barros@ufes.br) on 2016-08-15T18:10:11Z (GMT) No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) cp128327.pdf: 6590453 bytes, checksum: 5654758329fe7af83bec07339d8a3ffb (MD5) / Made available in DSpace on 2016-08-15T18:10:11Z (GMT). No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) cp128327.pdf: 6590453 bytes, checksum: 5654758329fe7af83bec07339d8a3ffb (MD5) / Business process modelling basically comprises an activity whose main goal is to provide a formalization of business processes in an organization or a set of cooperating organizations (Recker, et al., 2006) (van der Aalst, et al., 2003). By modelling an organization’s business processes, it is possible to capture how the organization coordinates the work and resources with the aim of achieving its goals and strategies (Sharp, et al., 2001). Since business processes and goals are intrinsically interdependent, establishing an alignment between the process and the goal domains arises as a natural approach. This thesis reports on a real-life exploratory case study in which we investigated the relationship between the elements of the enterprise (modeled in the ARIS framework) and the goals (modeled in the Tropos framework and modeling language) which are attained by these elements. The case study has been conducted in the Rheumatology Department of a University Hospital in Brazil. In the course of the case study, we have identified the need of splitting this effort into three phases: the elicitation phase (in which goal models and business process models are captured from the organizational domain), the harmonization phase (in which the goal domain is structured for alignment according to the business processes structures that will support it) and the alignment phase (in which the relationships between the goal domain and the elements of the organizational domain are established). In order to investigate the relation between goals and enterprise elements, we propose an ontological account for both architectural domains. We recognize the importance in considering the business process as the means for implementing an enterprise’s strategy, but we do not exclude the remaining enterprise elements. Furthermore, we are concerned with both the identification of the relationships and with a classification for their nature.