Early detection and intervention for infants at risk of autism spectrum disorders

Autism is a developmental disorder that is characterized by abnonnal social interactions and communications as well as repetitive and restricted activities and interests. There is evidence of a genetic component, as 5% of younger siblings are diagnosed if their older sibling has been diagnosed. Autism is generally not diagnosed until age 3 at the earliest, yet it has been shown that early intervention for children with autism can greatly increase their functioning. Because of this, it is important that symptoms of autism are identified as early as possible so that diagnosis can occur as soon as possible to allow these children the earliest intervention. This thesis was divided into two parts. The first looked at the psychometrics of two proposed measures, the Parent Observation Checklist (POC), administered monthly, and the Infant Behavior Summary Evaluation (mSE), administered bimonthly, to see if they can be used with the infant population to identify autistic symptoms in infants who are at high risk for autism or related problems because they have an older sibling with autism. Study 1 reported acceptable psychometric properties of both the POC and IBSE in terms of test-retest reliability, internal consistency, construct validity and predictive validity. These results provide preliminary evidence that parent report measures can help to detect early symptoms of ASD in infants. The POC was shown to differentiate infants who were diagnosed from a matched group that was not diagnosed by 3 years of age. The second part of this thesis involved a telephone interview of parents who reported developmental and/or behavior problems in their high-risk infants that may be early signs of Autism Spectrum Disorder (ASD). During the interview, a service questionnaire was administered to see what interventions (including strategies recommended by the researchers) their at risk infants and affected older siblings were receiving, how satisfied the parents were with them and how effective they felt the interventions were. 3 Study 2 also yielded promising results. Parents utilized a variety of services for at risk infants and children with ASD. The interventions included empirically validated early intervention (e.g., ABA) to non-empirically validated treatments (e.g., diet therapy). The large number of nonempirically validated treatments parents used was surprising, yet parents reported being involved and satisfied, and thought that the services were effective. Parents' perceptions of their stress levels went down slightly and feelings of competence rose when they accessed services for their infants. Overall, the results of this thesis provide new evidence that parent-report methods hold promise as early detection instruments for ASD in at-risk infants. More research is needed to further validate these instruments as well as to understand the variables related to the parents' choice of early intervention for their at risk and affected children.

"Where is the value in education for me?": experiences and perspectives of Ontario secondary students at risk of non-completion of their Ontario Secondary School Diploma /

This study examined students considered at risk of non-completion of their Ontario Secondary School Diploma and aimed to offer insight into the questions, "What factors currently lead to school disconnect" and "How can these factors be addressed?" Eight students currently enrolled in an alternative learning environment participated in the study. Each was asked to take part in two, digitally recorded interviews that were subsequently transcribed by the researcher. The data were then coded and analysed according to specific themes: obstacles, empowerment, goals, views about success, opinions of school, and power of the teacher. From these themes, three broad focus areas emerged that were used to keep the data analysis focused: worldview, school effects, and self-image. Variances between the data collected and ideas presented in the current literature were highlighted as a reminder that when dealing with a human population, we cannot rely on textbook definitions and theory alone.

Implementation of hospital-wide computer information system :a case study of this change process

This case study examines the impact of a computer information system as it was being implemented in one Ontario hospital. The attitudes of a cross section of the hospital staff acted as a barometer to measure their perceptions of the implementation process. With The Mississauga Hospital in the early stages of an extensive computer implementation project, the opportunity existed to identify staff attitudes about the computer system, overall knowledge and compare the findings with the literature. The goal of the study was to develop a greater base about the affective domain in the relationship between people and the computer system. Eight exploratory questions shaped the focus of the investigation. Data were collected from three sources: a survey questionnaire, focused interviews, and internal hospital documents. Both quantitative and qualitative data were analyzed. Instrumentation in the study consisted of a survey distributed at two points in time to randomly selected hospital employees who represented all staff levels.Other sources of data included hospital documents, and twenty-five focused interviews with staff who replied to both surveys. Leavitt's socio-technical system, with its four subsystems: task, structure, technology, and people was used to classify staff responses to the research questions. The study findings revealed that the majority of respondents felt positive about using the computer as part of their jobs. No apparent correlations were found between sex, age, or staff group and feelings about using the computer. Differences in attitudes, and attitude changes were found in potential relationship to the element of time. Another difference was found in staff group and perception of being involved in the decision making process. These findings and other evidence about the role of change agents in this change process help to emphasize that planning change is one thing, managing the transition is another.

The impact of hospital downsizing on registered nurses displaced from full-time employment

This research identified and explored the various responses often women Registered Nurses displaced from full-time elnployment as staff nurses in general hospitals in southern Ontario. These nurses were among the hundreds in Ontario who were displaced between October 1991 and October 1995 as a result of organizational downsizing and other health care reform initiatives. The purpose ofthis research was to document tIle responses of nurses to job displacement, and how that experience impacted on a nurse's professional identity and her understanding of the nature and utilization of nursing labour. This study incorporated techniques consistent with the principles of naturalistic inquiry and the narrative tradition. A purposive sample was drawn from the Health Sector Training and Adjustment Program database. Data collection and analysis was a three-step process wherein the data collection in each step was informed by the data analysis in the preceding step. The main technique used for qualitative data collection was semistructured, individual and group interviews. Emerging from the data was a rich and textured story ofhow job displacement disrupted the meaningful connections nurses had with their work. In making meaning of this change, displaced nurses journeyed along a three-step path toward labour adjustment. Structural analysis was the interpretive lens used to view the historical, sociopolitical and ideological forces which constrained the choices reasonably available to displaced nurses while Kelly's personal construct theory was the lens used to view the process of making choices and reconstruing their professional identity.

The Impact of Hospital Downsizing on Registered Nurses Displaced from Full -Time Employment

This research identified and explored the various responses of ten women Registered Nurses displaced from full-time employment as staff nurses in general hospitals in southern Ontario. These nurses were among the hundreds in Ontario who were displaced between October 1991 and October 1995 as a result of organizational downsizing and other health care reform initiatives. The purpose of this research was to document the responses of nurses to job displacement, and how that experience impacted on a nurse's professional identity and her understanding of the nature and utilization of nursing labour. This study incorporated techniques consistent with the principles of naturalistic inquiry and the narrative tradition. A purposive sample was drawn from the Health Sector Training and Adjustment Program database. Data collection and analysis was a three-step process wherein the data collection in each step was informed by the data analysis in the preceding step. The main technique used for qualitative data collection was semistructured, individual and group interviews. Emerging from the data was a rich and textured story of how job displacement disrupted the meaningful connections nurses had with their work. In making meaning of this change, displaced nurses journeyed along a three-step path toward labour adjustment. Structural analysis was the interpretive lens used to view the historical, sociopolitical and ideological forces which constrained the choices reasonably available to displaced nurses while Kelly's personal construct theory was the lens used to view the process of making choices and reconstruing their professional identity.

Predicting the Risk of Lung Cancer in Never-smokers

Despite being considered a disease of smokers, approximately 10-15% of lung cancer cases occur in never-smokers. Lung cancer risk prediction models have demonstrated excellent ability to discriminate cases from non-cases, and have been shown to be more efficient at selecting individuals for future screening than current criteria. Existing models have primarily been developed in populations of smokers, thus there was a need to develop an accurate model in never-smokers. This study focused on developing and validating a model using never-smokers from the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial. Cox regression analysis, with six-year follow-up, was used for model building. Predictors included: age, body mass index, education level, personal history of cancer, family history of lung cancer, previous chest X-ray, and secondhand smoke exposure. This model achieved fair discrimination (optimism corrected c-statistic = 0.6645) and good calibration. This represents an improvement on existing neversmoker models, but is not suitable for individual-level risk prediction.