Improving Diabetes Self-Help in Natural Disasters: Qualitative Parameters and Recommendations

Author:

Abstract

Background: When natural disasters occur, people with diabetes face more physical and mental challenges than healthy individuals. Therefore, innovative programs and policies are crucial for providing ongoing education to patients on how to better manage their condition. Objectives: The present study aimed to identify the components of empowerment literacy for diabetic patients during disasters. Methods: The present research employed a qualitative content analysis approach using a conventional deductive method. Purposive sampling was conducted, and data were collected through semi-structured interviews. The panel consisted of 24 participants, including native Iranian endocrinologists, nurses, emergency medical center managers, and experts in the field of medical librarianship and information. These participants had direct experience in relief efforts during critical situations such as natural disasters. The interviews were recorded and transcribed into written format. Data analysis was performed using thematic analysis with the assistance of MaxQDA software. Results: The content analysis resulted in identification of 10 main categories, 61 sub-categories, and five themes, including Disaster risk perception literacy, Medication literacy, Resilience literacy, Nutrition literacy, and Self-help literacy. Conclusion: The obtained findings have informed the creation of targeted health literacy education materials for policymakers in disaster scenarios specifically designed for individuals with diabetes. Diabetic individuals, particularly those residing in disaster-prone areas, should possess knowledge of emergency and disaster policies to enhance their health literacy. They should actively manage their condition while keeping abreast of policymakers' guidelines.

Publisher

DoNotEdit

Subject

General Medicine,General Earth and Planetary Sciences,General Environmental Science,General Medicine,Ocean Engineering,General Medicine,General Medicine,General Medicine,General Medicine,General Earth and Planetary Sciences,General Environmental Science,General Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3