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“Get Back On The Horse And Start Over Again”: Long-Term Effects Of A Diabetes Self-Management Education (Dsme) Program In An Underserved Population, William Lonneman, Bethanne Brown, Chalee Engelhard, Kimihiro Noguchi, Grace Mcfarlane, Diane Warner, Akino Kishigawa
“Get Back On The Horse And Start Over Again”: Long-Term Effects Of A Diabetes Self-Management Education (Dsme) Program In An Underserved Population, William Lonneman, Bethanne Brown, Chalee Engelhard, Kimihiro Noguchi, Grace Mcfarlane, Diane Warner, Akino Kishigawa
Internet Journal of Allied Health Sciences and Practice
Purpose: The purpose of this retrospective, mixed methods study is to examine the relationship between participation in an interdisciplinary diabetes self-management education (DSME) program at an urban primary health care center and patients’ perceived knowledge and skills, as well as clinical markers, on four cohorts of patients over a two-year period. Methods: Participants, mainly African-American females, responded to survey questions including self-care behaviors, perceived knowledge, and self-efficacy. The researchers also reviewed the participants’ clinical records for glycosylated hemoglobin (HbA 1c) and body mass index (BMI) data and compared these to similar patients in the health center who had …
Use Of Grounded Theory In Cardiovascular Research, Patrick J. Dunn, Vasileios Margaritis, Cheryl Anderson
Use Of Grounded Theory In Cardiovascular Research, Patrick J. Dunn, Vasileios Margaritis, Cheryl Anderson
The Qualitative Report
While grounded theory is often cited in the qualitative literature as the methodology, there are few good examples of publications that follow the principles of grounded theory and result in an actual theory. The purpose of this paper is to demonstrate how the Corbin and Strauss (2015) method of grounded theory was used in a study looking at how patients with cardiovascular disease and diabetes develop health literacy skills that are used to manage their condition. The key principles of grounded theory include theoretical sampling, constant comparison, open, axial, and selective coding, the use of memoing, and theoretical saturation. Data …