Self-Management and Detection of Diabetes Mellitus Emergencies

DOI

10.2991/978-94-6463-324-5_15How to use a DOI?

Keywords

Self-Management; Emergency Detection; Diabetes Mellitus

Abstract

The severity of diabetes mellitus in the form of hypoglycemia and hyperglycemia can occur at any time and is life-threatening for sufferers. Prolonged treatment of diabetes mellitus, apart from the risk of diabetes mellitus emergencies, patients can also experience decreased motivation, hopelessness, and capacity to manage diabetes. The purpose of this study was to analyze self-management and detect diabetes mellitus. The research method used in this study was analytic with a cross-sectional approach. The population in this study was diabetes mellitus patients at four Community Health Centers in Surabaya, with an average of 165 people every month. The sample size were 103 respondents, calculated based on the Isaac & Michael table with an error rate of 10%. The sampling technique in this study used non-probability sampling purposive sampling. Data analysis used Spearman rho. The study results showed that more than half of self-management with a high ability to detect emergencies is sufficient (56.4%). Self-management was in the medium category; more than half of respondents’ detection of diabetes emergencies was lacking (54.2%), and if self-management is lacking, then the ability to detect diabetes emergencies is also lacking. The test results showed that there was a positive relationship between self-management and emergency detection, with a strong correlation. It is hoped that patients and families will be able to identify and monitor the symptoms of hypoglycemia and hyperglycemia so that they can be treated immediately and, in the long term, can improve the quality of life.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Minarti
AU  - Nikmatul Fadilah
AU  - Miadi
AU  - Ach Arfan Adinata
PY  - 2023
DA  - 2023/12/23
TI  - Self-Management and Detection of Diabetes Mellitus Emergencies
BT  - Proceedings of the 6th International Conference of Health Polytechnic Surabaya (ICoHPS 2023)
PB  - Atlantis Press
SP  - 134
EP  - 143
SN  - 2468-5739
UR  - https://doi.org/10.2991/978-94-6463-324-5_15
DO  - 10.2991/978-94-6463-324-5_15
ID  - 2023
ER  -