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Recommendations of Common Data Elements to Advance the Science of Selfâ Management of Chronic Conditions

By Shirley M. Moore, Rachel Schiffman, Drenna Waldrop‐valverde, Nancy S. Redeker, Donna Jo McCloskey, Miyong T. Kim, Margaret M. Heitkemper, Barbara J. Guthrie, Susan G. Dorsey, Sharron L. Docherty, Debra Barton, Donald E. Bailey, Joan K. Austin and Patricia Grady


PurposeCommon data elements (CDEs) are increasingly being used by researchers to promote data sharing across studies. The purposes of this article are to (a) describe the theoretical, conceptual, and definition issues in the development of a set of CDEs for research addressing selfâ management of chronic conditions; (b) propose an initial set of CDEs and their measures to advance the science of selfâ management; and (c) recommend implications for future research and dissemination.Design and MethodsBetween July 2014 and December 2015 the directors of the National Institute of Nursing Research (NINR)â funded P20 and P30 centers of excellence and NINR staff met in a series of telephone calls and a faceâ toâ face NINRâ sponsored meeting to select a set of recommended CDEs to be used in selfâ management research. A list of potential CDEs was developed from examination of common constructs in current selfâ management frameworks, as well as identification of variables frequently used in studies conducted in the centers of excellence.FindingsThe recommended CDEs include measures of three selfâ management processes: activation, selfâ regulation, and selfâ efficacy for managing chronic conditions, and one measure of a selfâ management outcome, global health.ConclusionsThe selfâ management of chronic conditions, which encompasses a considerable number of processes, behaviors, and outcomes across a broad range of chronic conditions, presents several challenges in the identification of a parsimonious set of CDEs. This initial list of recommended CDEs for use in selfâ management research is provisional in that it is expected that over time it will be refined. Comment and recommended revisions are sought from the research and practice communities.Clinical RelevanceThe use of CDEs can facilitate generalizability of research findings across diverse population and interventions.Peer Reviewed

Topics: Common data elements, selfâ management, research data harmonization, Nursing, Health Sciences
Publisher: 'Wiley'
Year: 2016
DOI identifier: 10.1111/jnu.12233
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