Integration of Caring Science Research across Settings and Implications for Practice
Nelson, John W.
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Session presented on Sunday, July 26, 2015: This session will provide a review of the six research studies presented in the Caring international Research Collaborative (CIRC) special session. Attendees will first review the resultant path analysis (flow of data results) from each study presented to examine similarities of practice across settings, contexts and countries. This session will be delivered within the concepts of transparency, collaboration, caring science, and operations of clinical practice. Sharing of science, according to Dr. Thomas Kuhn as a pioneer in modern science, reports is what makes new discovery possible. Each of the research models reveal antecedents, covariates and outcomes that occur within the process of care. An examination of each model and comparison of models reveals certain variables and findings may have broad application within the process of care. Despite the similarities, each model has been specified to the context where the research occurred which resulted in unique dimensions of measurement and associated operations considerations. Model specification was important to minimize error in the results of the study and provides insight into how each context, culture and combination of both create challenges in replication with concomitant opportunities for discovery in data. Following the presentation of the models from each of the six studies presented will be an interactive discussion that will include collaborative interpretation and discussion of implications of findings across the models of research. Interactive learning has been shown to enhance not only the learning experience but the retention of concepts learn. Attendees can plan to come prepared to exchange thought and give interpretation of the data in consideration of their own context of care. Attendees will have opportunities to consider variables that may need to be measured within their own organization to ensure the data is both reliable and specified to their unique context of care. The interactive approach that will be used will make the collaborative learning both enjoyable and deepen the learning.