Determining the Predictors of Self-Management Behaviors in Patients With Type 2 Diabetes: An Application of Socio-Ecological Approach.

Background: Type 2 diabetes complications are responsible for 2% of hospital emergency visits. Self-management practices are one of the most essential approaches to control type 2 diabetes. The goal of this study was to use an ecological approach to investigate the predictors of self-management behaviors in diabetes patients referred to the emergency department in Ardabil in 2020. Methods: In this cross-sectional study, 273 individuals with type 2 diabetes who were sent to the emergency department of Imam Khomeini Educational and Medical Center in Ardabil were included using the available sample method. Demographic information questionnaires, including the Diabetes Distress Screening Tool (DDS2), General Diabetes Knowledge (DKT2), Diabetes Empowerment Questionnaire (DES-SF), Patient Health Questionnaire 9 (PHQ 9), Beliefs to Treatment Effectiveness Scale (BTES), Diabetes Self-Efficacy Scale (DSES), Chronic Illness Resources Survey (CIRS), Situational Effects Questionnaire, and Diabetes self-management support (DSMS), were all used to collect data. The independent t-test, one-way ANOVA, Pearson correlation coefficient, and multiple regression were used to analyze the data. Results: The results of the study showed that in the framework of ecological approach, predictors of self-management behaviors at the four levels are as follows: at the individual level-gender (p = 0.025), education (p = 0.002), duration of diabetes (p = 0.38), having a glucometer at home (p < 0.001), diabetes empowerment (p < 0.001), personal support (p = 0.002), and self-efficacy (p = 0.047); at the interpersonal level-the main health support (p < 0.001), membership in social networks (p < 0.005), family/friends support (p < 0.001), and neighborhoods support (p < 0.001); at the group and organizational level-organizational support (p = 0.013); at the community and policy level-the impact of mass media in health (p < 0.001) and situational influence (p < 0.001). Conclusion: The impact of non-individual levels, such as the environment, on a person's decision to manage diabetes is crucial. Diabetes management necessitates a significant amount of effort, which involves maintaining the health of diabetes patients and the community while also minimizing emergency department workload.

Identifying the Predictors of Self-Management Behaviors in Patients with Diabetes Based on Ecological Approach: A Systematic Review.

BACKGROUND: Recognizing and promoting the factors that affect the self-management behaviors of diabetes lead to a reduction in the number of patients and an improvement in the quality of care. The ecological approach focuses on the nature of people's interactions with their physical and socio-cultural environments. OBJECTIVE: The purpose of this study was to identify the predictors of self-management behaviors with a comprehensive approach in these patients. METHODS: The keywords were investigated in the relevant national and international databases, including PubMed, Google Scholar, Science Direct, Scopus, and Scientific Information Database, Magiran, and Iran Medex, to obtain the articles published from 2009 to 2019. The search and article selection strategy was developed based on the Prisma checklist and was carried out in three steps. RESULTS: Most studies have shown that personal factors had the highest prediction power for the self-management of diabetes. The interpersonal factors, society and policy-making factors, and group and organization factors were then the most frequently reported predictors of self-management behaviors in diabetic patients. CONCLUSION: Self-management of diabetes is necessary for controlling it because 95% of care is done by the patient. When designing self-management interventions, factors are based on the individual level that is to increase self-management behaviors.