Review: case management and team changes are particularly effective strategies for reducing HbA1c concentrations in type 2 diabetes.
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Biomedical subjects
Publications and source records attributed to Sandra L Upchurch.
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The prominence of systematic reviews as bases for evidence-based practice is increasingly recognized and has significance for practice disciplines such as nursing. Synthesizing research findings is key to informing the clinical care of individuals burdened with health problems. A major issue in conducting such reviews involves developing reliable and valid coding procedures for extracting data from the research literature. A formalized process is described for developing coding instruments that have been used in five separate studies. Initial instrument development for a diabetes self-management education meta-analysis is described, followed by a discussion of adapting the instruments for subsequent meta-analytic studies of self-management interventions in diabetes care and of interventions to reduce caregiver burden of individuals with Alzheimer's disease dementia. Although time and effort are required for development of coding processes for research synthesis, these instrument development activities are one of the critical elements of producing reliable and clinically useful information.
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Obesity has reached epidemic proportions among children in minority populations, placing them at risk for diabetes and hypertension. The importance of educating a generation of nurses who have the knowledge, skills, and passion to address this public health need is crucial to the profession and to America's health. This article describes the use of a Community Partnership Model to frame baccalaureate nursing students' (B.S.N.) service learning within the context of a research study to screen middle- and high-school students for health risks. The missions of education, research, and practice are linked together in the model by three processes: evidence-based practice, service learning, and scholarly teaching. The aim of the project was early identification of obesity, hypertension, and type 2 diabetes and their predictors in a high-risk student population, between 12 and 19 years of age. Early evidence indicates that the model is feasible and effective for directing student learning and addressing public health problems in the community.