A self-management intervention to improve quality of life and psychosocial impact for people with type 2 diabetes

2011 ◽  
Vol 20 (17-18) ◽  
pp. 2655-2665 ◽  
Author(s):  
Shu-Fang Vivienne Wu ◽  
Shu-Yuan Liang ◽  
Tsae-Jyy Wang ◽  
Mei-Hui Chen ◽  
Yu-Mei Jian ◽  
...  
Author(s):  
Golnaz Azami ◽  
Soh Kim Lam ◽  
Sazlina Shariff-Ghazali ◽  
Salmiah Mohd Said ◽  
Sanaz Aazami ◽  
...  

Objective: Type 2 diabetes mellitus (T2DM) is a chronic condition that requires consistent medical care to help control glycemic indices. Diabetes self-management is found to be essential for optimal glycemic control. This study aimed to investigate the predictors of diabetes self-management in adult with T2DM. Materials and Methods: A cross-sectional study was conducted. A purposive sample of 142 adults with T2DM attended an outpatient endocrine clinic in an academic hospital in Ilam, Iran was invited to participate in this study from September to October 2016. The data were collected using a combination of validated questionnaires and the blood sample. IBM SPSS software version 22 used to conduct the analysis. Hierarchical linear regression analysis with the stepwise method was used to explore the predictors of diabetes self-management.  Results: The mean age of participants was 54.2 ± (11.8) years. The mean duration of diabetes was 8.9 ± (7.4). Hierarchical linear regression analysis determined that self-management behaviors had positive relationship with efficacy expectation (B= 0.445, P-value< 0.01), quality of life (B= 0.222, P-value= 0.02), and has a negative relationship with HbA1c (B= -0.194, P-value= 0.01).  Conclusion: The result of our study indicate that better diabetes self-management behaviors can be predicted by higher efficacy expectation, the better quality of life and lower HbA1c levels. Future interventions should focus on enhancing efficacy expectation, quality of life and optimizing glycemic control to improve self-management of diabetes.


2018 ◽  
Vol 45 (6) ◽  
pp. 987-996 ◽  
Author(s):  
Ledric D. Sherman ◽  
Joni S. Williams

Background. Self-managing type 2 diabetes (T2D) is critical but often challenging for non-Hispanic Black (NHB) men. Fears may contribute to poor self-management; however, the evidence is sparse. The purpose of this study is to examine the relationship between fear and diabetes self-management in NHB men from the southern United States. Methods. Nineteen NHB men with T2D were recruited from barbershops and churches. Interviews were conducted using a semistructured interview guide. Transcripts were analyzed using a phenomenological approach and focused on identifying common themes describing the perceptions of fear as a barrier to self-managing T2D in the study participants. Results. More than 68% of the sample was >55 years of age, where 42% reported an annual income of ≥$100,000, 74% were married, and 26% had a college degree. Fifty-three percent expressed fear with diabetes management, while 47% reported no fears with diabetes management. Direct fears associated with self-management included the use of needles and syringes for self-monitoring and medication adherence, respectively. Indirect fears were associated with the development of adverse complications resulting in poor mental and physical quality of life. No fears were reported secondary to diabetes knowledge, perceived control, and social support. Conclusions. In this sample of NHB men, fear was perceived by many as a direct barrier to self-management and an indirect barrier to optimal quality of life. These findings suggest the need to address the fears of NHB men when guiding treatment and developing research interventions to improve self-management skills.


2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Hongxia Shen ◽  
Rianne van der Kleij ◽  
Paul J. M. van der Boog ◽  
Xiaoyue Song ◽  
Wenjiao Wang ◽  
...  

Abstract Background Chronic kidney disease (CKD) is a significant public health concern. In patients with CKD, interventions that support disease self-management have shown to improve health status and quality of life. At the moment, the use of electronic health (eHealth) technology in self-management interventions is becoming more and more popular. Evidence suggests that eHealth-based self-management interventions can improve health-related outcomes of patients with CKD. However, knowledge of the implementation and effectiveness of such interventions in general, and in China in specific, is still limited. This study protocol aims to develop and tailor the evidence-based Dutch ‘Medical Dashboard’ eHealth self-management intervention for patients suffering from CKD in China and evaluate its implementation process and effectiveness. Methods To develop and tailor a Medical Dashboard intervention for the Chinese context, we will use an Intervention Mapping (IM) approach. A literature review and mixed-method study will first be conducted to examine the needs, beliefs, perceptions of patients with CKD and care providers towards disease (self-management) and eHealth (self-management) interventions (IM step 1). Based on the results of step 1, we will specify outcomes, performance objectives, and determinants, select theory-based methods and practical strategies. Knowledge obtained from prior results and insights from stakeholders will be combined to tailor the core interventions components of the ‘Medical Dashboard’ self-management intervention to the Chinese context (IM step 2–5). Then, an intervention and implementation plan will be developed. Finally, a 9-month hybrid type 2 trial design will be employed to investigate the effectiveness of the intervention using a cluster randomized controlled trial with two parallel arms, and the implementation integrity (fidelity) and determinants of implementation (IM step 6). Discussion Our study will result in the delivery of a culturally tailored, standardized eHealth self-management intervention for patients with CKD in China, which has the potential to optimize patients’ self-management skills and improve health status and quality of life. Moreover, it will inform future research on the tailoring and translation of evidence-based eHealth self-management interventions in various contexts. Trial registration Clinicaltrials.gov NCT04212923; Registered December 30, 2019.


2019 ◽  
Vol 1 (2) ◽  
pp. 87-98
Author(s):  
Shanty Chloranyta ◽  
Yulia Yulia ◽  
Masfuri Sodikin

Self monitoring blood glucose (SMBG) is an integral part of diabetes self management. SMBG is effective in improving the quality of life there is a 40.6% increase in physical and emotional functioning of patients, and 39.13% confidence. SMBG is not effective in improving the quality of life of patients experiencing frustration, depression and suffering. The purpose of this study was to analyze SMBG satisfaction with quality of life. Cross sectional research design. The population of this study were 51 type 2 diabetes patients with purposive sampling technique. The instruments used were Glucose Monitoring Satisfaction Survey (GMSS), Diabetes Quality of Life Brief (DQoL Brief), Diabetes Self Management Questionnaire (DSMQ). Data analysis used Pearson test. The results showed respondents (78.4%) were female, (58.8%) had hypertension complications, (84.3%) financial support using BPJS, (62.7%) using insulin binding 32. The average age of 50.73 years, SMBG satisfaction 49.43, quality of life 49.84 , diabetes self management 28. There was a significant relationship between SMBG satisfaction and quality of life (p = 0.000). Satisfaction of SMBG improves quality of life in patients with type 2 diabetes.


2020 ◽  
Author(s):  
Xinye Qi ◽  
Jiao Xu ◽  
Guiying Chen ◽  
Huan Liu ◽  
Jingjing Liu ◽  
...  

Abstract Objective: Elderly patients with type 2 diabetes mellitus are highly vulnerable due to serious complications. Thus far, there is little research on the relationship between social support and quality of life, which warrants further exploration of the internal mechanism. This study assessed quality of life and its interfering factors in this patient population.Methods: In total, 571 patients with type 2 diabetes mellitus over 60 years old were recruited from two community clinics in Heilongjiang province, China. We collected data on health status, quality of life, self-management behavior, fasting plasma glucose (FPG) level, and social support. Structural equation modeling and the bootstrap method were used to analyze the data. Results: The average quality of life score was -29.25 ± 24.41. Poorly scored domains of quality of life were “Psychological feeling” (-8.67), “Activity” (-6.36), and “Emotion” (-6.12). Of the 571 patients, 65.32% had normal FPG, 9.8% had high-risk FPG, 15.94% had good self-management behavior, and 22.07% had poor social support. Significant correlations among social support, self-management behavior, FPG level, and quality of life were noted. A multiple mediator model revealed that social support influenced quality of life in three ways: (i) directly (c´ = 0.6549); (ii) indirectly through self-management behavior (a1*b1 = 0.2596); and (iii) indirectly through FPG control (a2*b2 = 0.2825). Self-management behavior influenced quality of life directly and indirectly through FPG control. Conclusion: Improving self-management behavior and monitoring hypoglycemia should become priority targets for future intervention. Scheduled social support to self-management projects should be put into the standardized management procedure. Physicians should provide substantial and individualized support to elderly patients with type 2 diabetes mellitus regarding medication, blood glucose monitoring, and physical exercise.


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