Literature DB >> 9060718

International collaborative research on management self-efficacy in diabetes mellitus.

L M Shortridge-Baggett1, J J van der Bijl.   

Abstract

Diabetes mellitus is a leading chronic illness in the United States and in the Netherlands. Assisting persons with diabetes and their families to manage the illness so that they can have satisfying lives is a challenge for all involved. Persons with diabetes mellitus and their significant others (family members, friends, or other caregivers) must learn and perform management behaviors in order to achieve this goal. Self-efficacy has been shown to be an important predictive variable in initiating and continuing management behaviors. In order to test the impact of self-efficacy on the management of diabetes mellitus and to conduct comparative studies in the Netherlands and the United States, a battery of valid and reliable measurement instruments were needed. Six different instruments in two languages were developed to test children with diabetes and their significant other, adults with insulin dependent diabetes and their significant other, and adults with non-insulin dependent diabetes and their significant other. An overview of the instrument development and testing is described. The testing of different formats due to language terminology and the testing of the instruments for the adults with non-insulin dependent diabetes mellitus will be presented.

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Year:  1996        PMID: 9060718

Source DB:  PubMed          Journal:  J N Y State Nurses Assoc        ISSN: 0028-7644


  3 in total

1.  Columbia University's Informatics for Diabetes Education and Telemedicine (IDEATel) Project: rationale and design.

Authors:  Steven Shea; Justin Starren; Ruth S Weinstock; Paul E Knudson; Jeanne Teresi; Douglas Holmes; Walter Palmas; Lesley Field; Robin Goland; Catherine Tuck; George Hripcsak; Linnea Capps; David Liss
Journal:  J Am Med Inform Assoc       Date:  2002 Jan-Feb       Impact factor: 4.497

Review 2.  Effectiveness of IT-based diabetes management interventions: a review of the literature.

Authors:  Beth M Costa; Kristine J Fitzgerald; Kay M Jones; Trisha Dunning Am
Journal:  BMC Fam Pract       Date:  2009-11-17       Impact factor: 2.497

3.  Identification of Epigenetic Biomarkers of Lung Adenocarcinoma through Multi-Omics Data Analysis.

Authors:  Chie Kikutake; Koji Yahara
Journal:  PLoS One       Date:  2016-04-04       Impact factor: 3.240

  3 in total

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