Developing A Novel Diabetes Distress E-Learning Program For Diabetes Educators: An Intervention Mapping Approach

TRANSLATIONAL BEHAVIORAL MEDICINE(2021)

引用 2|浏览1
暂无评分
摘要
Diabetes distress is a common negative emotional response to the ongoing burden of living with diabetes. Elevated diabetes distress is associated with impaired diabetes self-management and quality of life yet rarely identified and addressed in clinical practice. Health professionals report numerous barriers to the provision of care for diabetes distress, including lack of skills and confidence, but few diabetes distress training opportunities exist. The purpose of this paper is to describe how we utilized Intervention Mapping to plan the development, implementation, and evaluation of a novel diabetes distress e-learning program for diabetes educators, to meet a well-documented need and significant gap in diabetes care. A multidisciplinary team (combining expertise in research, health and clinical psychology, diabetes education, nursing, tertiary education, and website architecture) developed a diabetes distress e-leaming program. We followed a six-step process (logic model of the problem, program outcomes and objectives, program design, program production, program implementation plan, and evaluation plan) known as Intervention Mapping. The program is underpinned by educational and psychological theory, including Bloom's Taxonomy of Educational Objectives and social cognitive theory. We developed a short (estimated 4 h) e-learning program for diabetes educators, which draws on the content of the Diabetes and Emotional Health handbook and toolkit. It integrates a 7As model, which provides a stepwise approach to identifying and addressing diabetes distress. Our diabetes distress e-learning program has been developed systematically, guided by an Intervention Mapping approach. In the next phase of the project, we will trial the e-learning.
更多
查看译文
关键词
Diabetes mellitus, Mental health, Psychological distress, Health personnel, Distance education, Internet-based intervention
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要