965 resultados para Program evaluation


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The Extended Adolescent Injury Checklist (E-AIC), a self-report measure of injury based on the model of the Adolescent Injury Checklist (AIC), was developed for use in the evaluation of school-based interventions. The three stages of this development involved focus groups with adolescents and consultations with medical staff, pilot testing of the revised AIC in a high school context, and use of the finalised checklist in pre- and post-questionnaires to examine its utility. Results revealed that responses to the final version of the E-AIC were meaningful and remained consistent over time. The E-AIC appears to be a promising measure of adolescent injury that is simple, time-efficient and appropriate for use in the evaluation of school-based injury prevention programs.

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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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Objectives Program evaluations are frequently based on ‘then-test’ data, i.e., pre-test collected in retrospect. While the application of the then-test has practical advantages, little is known about the validity of then-test data. Because of the collection of then-test in close proximity to post-test questions, this study was aimed at exploring whether the presence of then-test questions in post-test questionnaires influenced subjects’ responses to post-test.
Patients and methods To test the influence of then-test questions, we designed a randomized three-group study in the context of chronic disease self-management programs. Interventions had comparable goals and philosophies, and all 949 study participants filled out identical Health Education Impact Questionnaires (heiQ) at pre-test. At post-test, participants were then randomized to one of the following three groups: Group A responded to post-test questions only (n = 331); Group B filled out transition questions in addition to post-test (n = 304); and Group C filled out then-test questions in addition to post-test (n = 314).
Results Significant post-test differences were found in six of eight heiQ scales, with respondents who filled out then test questions reporting significantly higher post-test scores than respondents of the other groups.
Conclusions This study provides evidence that the inclusion of then-test questions alters post-test responses,
suggesting that change scores based on then-test data be interpreted with care.

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The Leading Indigenous Cultural Inclusion aims to support improvements in the learning outcomes and wellbeing of Aboriginal students by providing principals and school leaders with the understanding, skills and strategies to create and sustain school environments which support inclusion, engagement and achievement of Indigenous students.

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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.