790 resultados para Program Evaluation.
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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics
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The approach to intervention programs varies depending on the methodological perspective adopted. This means that health professionals lack clear guidelines regarding how best to proceed, and it hinders the accumulation of knowledge. The aim of this paper is to set out the essential and common aspects that should be included in any program evaluation report, thereby providing a useful guide for the professional regardless of the procedural approach used. Furthermore, the paper seeks to integrate the different methodologies and illustrate their complementarity, this being a key aspect in terms of real intervention contexts, which are constantly changing. The aspects to be included are presented in relation to the main stages of the evaluation process: needs, objectives and design (prior to the intervention), implementation (during the intervention), and outcomes (after the intervention). For each of these stages the paper describes the elements on which decisions should be based, highlighting the role of empirical evidence gathered through the application of instruments to defined samples and according to a given procedure.
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Amongst a host of other benefits, proper physical education has the possibility to create a safe place where responsibility can be transferred from the teacher/facilitator, to the student. This is especially true with an underserved population. This critical program evaluation of the program CHARM was done for the purpose of program improvement. This research was a place for participants to share their experiences of the program. The participants were 5 underserved youth, 5 undergraduate students, 3 teachers and 1 graduate student. Observations, interviews, and document analysis were used to gather data. Data was analyzed using a first level read-through, and two second-level analyses. Summaries were written, and cross-case analyses were completed. The main finding of the research was the development of a Handbook, which is a guide to running the program. Secondary findings include issues of program structure, goal setting, meaningful relationships, roles, SNAP, and an outlier in the data.
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Resumen tomado de la publicación
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OBJECTIVE To examine the impact of different definitions of loss to follow-up (LTFU) on estimates of program outcomes in cohort studies of patients on antiretroviral therapy (ART). STUDY DESIGN AND SETTING We examined the impact of different definitions of LTFU using data from the International Epidemiological Databases to Evaluate AIDS-Southern Africa. The reference approach, Definition A, was compared with five alternative scenarios that differed in eligibility for analysis and the date assigned to the LTFU outcome. Kaplan-Meier estimates of LTFU were calculated up to 2 years after starting ART. RESULTS Estimated cumulative LTFU were 14% and 22% at 12 and 24 months, respectively, using the reference approach. Differences in the proportion LTFU were reported in the alternative scenarios with 12-month estimates of LTFU varying by up to 39% compared with Definition A. Differences were largest when the date assigned to the LTFU outcome was 6 months after the date of last contact and when the site-specific definition of LTFU was used. CONCLUSION Variation in the definitions of LTFU within cohort analyses can have an appreciable impact on estimated proportions of LTFU over 2 years of follow-up. Use of a standardized definition of LTFU is needed to accurately measure program effectiveness and comparability between programs.
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This evaluation of a county intensive family preservation services (ifps) program makes several important methodological contributions to assessing post-treatment placement patterns of ifps clients. It is the first published ifps evaluation that utilizes an interval-level, overall measure of restrictiveness of placement, and one of the few that has followed placement patterns for a full two-years after treatment. The study is also a good example of complementing placement data with measures of family health and stability, and with qualitative feedback from former ifps clients. Finally, this study demonstrates the potential for doing methodologically sound evaluations of local ifps programs.
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Undergraduate research programs have been used as a tool to attract and retain student interest in science careers. This study evaluates the short and long-term benefits of a Summer Science Internship (SSI) at the University of Texas Health Science Center at Houston– School of Public Health – in Brownsville, Texas, by analyzing survey data from alumni. Questions assessing short-term program impact were aimed at three main topics, student: satisfaction with program, self-efficacy for science after completing the program, and perceived benefits. Long-term program impact was assessed by looking at student school attendance and college majors along with perceived links between SSI and future college plans. Students reported high program satisfaction, a significant increase in science self-efficacy and high perceived benefits. At the time data were collected for the study, one-hundred percent of alumni were enrolled in school (high school or college). The majority of students indicated they were interested in completing a science major/career, heavily influenced by their participation in the program.^
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Child abuse correlated with excessive infant crying affects millions of families each year, with consequences of the abuse lasting a lifetime. The University Of Texas School Of Medicine's Colic Clinic is currently in the early stages of testing Dr. Harvey Karp's combinatorial soothing technique for infants called "The Happiest Baby on the Block". In order to gauge the program's potential effectiveness, the Colic Clinic Protocol was examined in order to assess the applicability of the intervention to known causal factors of child abuse associated with excessive infant crying. ^ This evaluation also carried out an anticipated cost-benefit breakout analysis for the implementation of the intervention for 100 children and compared the cost of the program implementation to the cost associated with a single instance of child abuse. The analysis revealed that while accounting for materials, advertising, salaried personnel and other overhead expenses, the cost to implement the intervention was less than half the cost of the medical treatment associated with a single victim of whiplash-shaken infant syndrome. ^ Although the program is still in its early evaluative phase, the future implications of this work are extensive. If this intervention is revealed to be relevant and cost effective, it will precipitate sweeping changes in medical education and training, public health detection and prevention programs, and law enforcement.^
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This paper decomposes the conventional measure of selection bias in observational studies into three components. The first two components are due to differences in the distributions of characteristics between participant and nonparticipant (comparison) group members: the first arises from differences in the supports, and the second from differences in densities over the region of common support. The third component arises from selection bias precisely defined. Using data from a recent social experiment, we find that the component due to selection bias, precisely defined, is smaller than the first two components. However, selection bias still represents a substantial fraction of the experimental impact estimate. The empirical performance of matching methods of program evaluation is also examined. We find that matching based on the propensity score eliminates some but not all of the measured selection bias, with the remaining bias still a substantial fraction of the estimated impact. We find that the support of the distribution of propensity scores for the comparison group is typically only a small portion of the support for the participant group. For values outside the common support, it is impossible to reliably estimate the effect of program participation using matching methods. If the impact of participation depends on the propensity score, as we find in our data, the failure of the common support condition severely limits matching compared with random assignment as an evaluation estimator.