Self-Management Capacity in Adults with Type 2 Diabetes Using Educational Interventions: A Pilot Study

2021 ◽  
Author(s):  
Maricarmen Moreno-Tochihuitl ◽  
Erika Lozada-Perezmitre ◽  
Carmen Cruz-Rivera ◽  
Rayo Cruz-Rivera ◽  
Lizamar-Lorena Ramos-Sánchez ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Pilot Study ◽  
Self Care ◽  
Educational Interventions ◽  
Text Messages ◽  
The Self ◽  
Self Management ◽  
Control Actions ◽  
Management Capacity

Type 2 Diabetes (T2D) has been increasing in prevalence over the last decade in Mexico. The glycemic control actions can help to prevent complications. The aimed is to pilot an educational intervention in self- management of adults with T2D through using text messages. Findings show the respondents reported a low level of self-care skills of T2D and there was an increase in the self-care skills after it.

Development and utility of m-health enabled nutrition informatics intervention for self-care management of type 2 diabetes in home settings (Preprint)

2021 ◽  
Author(s):  
Abhijeet Prasad Sinha ◽  
Manmohan Singhal ◽  
Mansi Gupta ◽  
Ashish Joshi
Keyword(s):  
Public Health ◽  
Type 2 Diabetes ◽  
Care Management ◽  
Self Care ◽  
The Self ◽  
Self Management ◽  
Integrative Approach ◽  
Health Application ◽  
The Impact

BACKGROUND Diabetes represents an important public health challenge in India and Globally. It affects quality of life and is one of the leading causes of death and disability. The burden on global health is huge and about 463 million adults are currently living with diabetes. 77 million people in India in the age group of 20-79 years are affected by this pandemic and total cost to health expenditure is 8 billion US dollars, therefore huge burden, and great economic cost on Public health. The self-management of diabetes, the research priorities include exploring the concept of diabetes self-management and major research questions would comprise of asking what affects self-management in persons with diabetes and how do m-health application and interventions can impact on the self-management behaviors in development, utility of the m-health app in self-management of person with diabetes. Therefore, this project research is of great significance and would bring an integrative approach on self-care management OBJECTIVE To design, develop and evaluate the impact of m-health enabled nutrition informatics intervention for home based self-management of type 2 diabetes in an Indian setting. METHODS A mixed research study will be conducted between January 2022 and January 2023. A sample of approximately 250 individuals will be recruited and enrolled using a nonprobability complete enumeration sampling method from selected urban settings of Delhi inclusion and exclusion criteria with age20-79 years male and female with Type 2 diabetes and have access to Smart phone Data will be collected using which questionnaires. The collected data will be used to assess use and utility of mobile health application developed. The knowledge, attitudes, practices, and beliefs regarding Diabetes self-care management. Lastly, the study questionnaire system usability survey(SUS) will be used to assess the usability of mobile applications on selfcare management of Diabetes RESULTS A pilot of 250 individuals has been conducted to pretest the DBMS questionnaire. The data collection will be initiated from January 2022, and the initial results are planned for publication by October 2022.Descriptive analysis of the gathered data will be performed using SPSS V11, and reporting of the results will be done at 95% CIs and P=.0.05. CONCLUSIONS The findings of the study would inform the elements essential for the development of m-health intervention to improve self-care management of diabetes at home settings. The usefulness and acceptance of the proposed intervention will be conducted. CLINICALTRIAL DITU/UREC/2021/07/10

scholarly journals Effect of a Ten-Week Short Message Service-Based Intervention on Self-Management of Type-2 Diabetes Patients in Bali, Indonesia

2021 ◽  
Vol 11 (2) ◽  
pp. 177-186
Author(s):  
Made Rini Damayanti ◽  
Gusti Ayu Ary Antari ◽  
Ni Luh Putu Nopriani
Keyword(s):  
Type 2 Diabetes ◽  
Intervention Group ◽  
Self Care ◽  
The Self ◽  
Self Management ◽  
Care Practice ◽  
Control Group ◽  
Short Message ◽  
Diabetes Patients

Background: Diabetes mellitus is a chronic disease that may pose serious complications if poorly managed. The application of mobile technology (m-health) ranging from simple to more complex programs in diabetes management has the potential to foster patients’ active involvement in their care. However, the evidence of m-health effectiveness on the self-management of type-2 diabetes patients in low- and middle-income countries is still mixed.Purpose: To evaluate the effect of a ten-week short message system (SMS)-based intervention (Tweek SMSDM) on self-management of type-2 diabetes patients.Methods: A quasi-experimental study was performed in two groups. The intervention group (n=30) received additional daily automated messages to enhance their diabetic self-care practice, while the control group (n=30) continued to follow the standard program only. Pre- and post-intervention data were measured in both groups using the Indonesian version of the Summary of Diabetes Self-Care Activities (SDSCA) questionnaire. T-test, Mann-Whitney, Wilcoxon Signed-Ranks, McNemar and Fisher exact tests were carried out to analyze the data.Results: After ten weeks, the intervention group showed significant mean changes in the domains of general diet (0.42±1.08; p=0.034), specific diet (1.75±1.42; p=0.0001), exercise (1.02±1.85; p=0.005), blood-glucose testing (0.53±1.67; p=0.009), and foot care (4.75±2.51; p=0.001) before and after the intervention, while the control group did not. This study also found significant differences in the mean scores for each domain of the SDSCA between the intervention and the control groups (p<0.05).Conclusion: The Tweek SMSDM program can improve the self-management of type-2 diabetes patients and positively affect each domain in the SDSCA. The findings of this study recommend that nurses integrate the program into patient treatment regimes in primary healthcare centers; therefore, patients and their significant others can play more proactive roles in their diabetic care.

scholarly journals Effectiveness of diabetes self-management education (DSME) in type 2 diabetes mellitus (T2DM) patients: Systematic literature review

2021 ◽  
Vol 10 (2) ◽  
Author(s):  
Ucik Ernawati ◽  
Titin Andri Wihastuti ◽  
Yulian Wiji Utami
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Management Education ◽  
Self Care ◽  
Lifestyle Changes ◽  
The Self ◽  
Self Management ◽  
Education Intervention

Diabetes mellitus is a chronic disease characterized by high glucose levels (hyperglycemia) due to metabolic disorders that prevent patients from producing sufficient amounts of insulin. This research aims to test the effectiveness of implementing diabetes self-management education in patients with Type 2 diabetes mellitus. The search for relevant articles was carried out through Google Scholar, PubMed, Proquest, and Science Direct using the keywords diabetes mellitus, management education, self-care, diabetes self-management education, DSME, T2DM. The articles were then selected based on inclusion and exclusion criteria. Furthermore, the data were extracted, grouped, and concluded. Based on 15 articles, diabetes self-management education intervention provides significant effectiveness to lifestyle changes and the self-care of T2DM patients. In conclusion, diabetes self-management education intervention has been shown to be effective in dealing with type 2 diabetes mellitus. Furthermore, DSME has a positive effect on lifestyle changes and the self-care of T2DM patients.

scholarly journals Application of structural equation modeling in assessing the self-management activities of patients with type 2 diabetes

2020 ◽  
Vol 11 ◽  
pp. 215013272097420
Author(s):  
Rashid M. Ansari ◽  
Mark Harris ◽  
Hassan Hosseinzadeh ◽  
Nicholas Zwar
Keyword(s):  
Type 2 Diabetes ◽  
Structural Equation Modeling ◽  
Glycemic Control ◽  
Structural Equation ◽  
Self Care ◽  
The Self ◽  
Self Management ◽  
Equation Modeling ◽  
Chi Squared

Objective This study aimed at assessing the self-management activities of type 2 diabetes patients using Structural Equation Modeling (SEM) which measures and analyzes the correlations between observed and latent variables. This statistical modeling technique explored the linear causal relationships among the variables and accounted for the measurement errors. Methods A sample of 200 patients was recruited from the middle-aged population of rural areas of Pakistan to explore the self-management activities of type 2 diabetes patients using the validated version of the Urdu Summary of Diabetes Self-care Activities (U-SDSCA) instrument. The structural modeling equations of self-management of diabetes were developed and used to analyze the variation in glycemic control (HbA1c). Results The validated version of U-SDSCA instrument showed acceptable psychometric properties throughout a consecutive reliability and validity evaluation including: split-half reliability coefficient 0.90, test-retest reliability (r = 0.918, P  ≤ .001), intra-class coefficient (0.912) and Cronbach’s alpha (0.79). The results of the analysis were statistically significant (α = 0.05, P-value < .001), and showed that the model was very well fitted with the data, satisfying all the parameters of the model related to confirmatory factor analysis with chi-squared = 48.9, CFI = 0.94, TLI = 0.95, RMSEA = 0.065, SPMR = 0.068. The model was further improved once the items related to special diet were removed from the analysis, chi-squared value (30.895), model fit indices (CFI = 0.98, TLI = 0.989, RMSEA = 0.045, SPMR = 0.048). A negative correlation was observed between diabetes self-management and the variable HbA1c (r = –0.47; P < .001). Conclusions The Urdu Summary of Diabetes Self-Care Activities (U-SDSCA) instrument was used for the patients of type 2 diabetes to assess their diabetes self-management activities. The structural equation models of self-management showed a very good fit to the data and provided excellent results which may be used in future for clinical assessments of patients with suboptimal diabetes outcomes or research on factors affecting the associations between self-management activities and glycemic control

The Role of Digital Engagement in the Self-Management of Type 2 Diabetes

2016 ◽  
Vol 31 (12) ◽  
pp. 1557-1565 ◽  
Author(s):  
Sora Park ◽  
Sally Burford ◽  
Christopher Nolan ◽  
Leif Hanlen
Keyword(s):  
Type 2 Diabetes ◽  
The Self ◽  
Self Management ◽  
Digital Engagement

scholarly journals The Model of Self Care Behaviour and the Relationship with Quality Of Life, Metabolic Control and Lipid Control of Type 2 Diabetes Mellitus Patients in Binjai City, Indonesia

2018 ◽  
Vol 6 (9) ◽  
pp. 1762-1767 ◽  
Author(s):  
Rina Amelia
Keyword(s):  
Quality Of Life ◽  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Metabolic Control ◽  
Self Care ◽  
The Self ◽  
Lipid Control ◽  
Diabetes Patients

BACKGROUND: Diabetes is a type of chronic disease with exceptional medical care for a patient's lifetime, which ultimately requires lifestyle and behavioural adjustments to prevent complications to death. Patients with good self-care behaviour will cause diabetes to be controlled to avoid complications to death and make patients have a better quality of life. AIM: This study aims (1) to determine the model of self-care behaviour in Type 2 diabetes patients in Binjai City (2) to analyse the effect of self-care behaviour on quality of life, metabolic control and lipid control of Type 2 diabetes patients in Binjai City. METHODS: This type of research is survey-based and explanatory using a cross-sectional approach. The study population was Type 2 Diabetes Mellitus (T2DM) patients who remained patients in 8 primary health centres in Binjai City. The consecutive sampling yielded a sample size of 115 people. Data analysis method uses descriptive statistics and Structural Equation Modeling (SEM) using SPSS and Amos 16.0. RESULTS: The results showed that all factors that build T2DM patient self-care behaviour were able to be predictors that shape the patient's self-care behaviour. The self-care behaviour model consists of knowledge, attitudes, communication, financing, family support, motivation, and self-efficacy. Motivation is the most significant predictor of its contribution to the self-care behaviour of Type 2 diabetes patients. Self-care behaviour was also known to be significantly related to the quality of life, metabolic control and lipid control of T2DM patients (p < 0.05). CONCLUSION: Self-care behaviour in T2DM patients can have a substantial and significant impact on quality of life, metabolic control and lipid control possessed by Type 2 Diabetes patients.

scholarly journals Preferences for mHealth Technology and Text Messaging Communication in Patients With Type 2 Diabetes: Qualitative Interview Study (Preprint)

2020 ◽  
Author(s):  
Julie C Lauffenburger ◽  
Renee A Barlev ◽  
Ellen S Sears ◽  
Punam A Keller ◽  
Marie E McDonnell ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Health Care ◽  
Mobile Technology ◽  
Diabetes Care ◽  
Technology Use ◽  
Text Messages ◽  
Self Management ◽  
Care Providers ◽  
Mhealth Technology

BACKGROUND Individuals with diabetes need regular support to help them manage their diabetes on their own, ideally delivered via mechanisms that they already use, such as their mobile phones. One reason for the modest effectiveness of prior technology-based interventions may be that the patient perspective has been insufficiently incorporated. OBJECTIVE This study aims to understand patients’ preferences for mobile health (mHealth) technology and how that technology can be integrated into patients’ routines, especially with regard to medication use. METHODS We conducted semistructured qualitative individual interviews with patients with type 2 diabetes from an urban health care system to elicit and explore their perspectives on diabetes medication–taking behaviors, daily patterns of using mobile technology, use of mHealth technology for diabetes care, acceptability of text messages to support medication adherence, and preferred framing of information within text messages to support diabetes care. The interviews were digitally recorded and transcribed. The data were analyzed using codes developed by the study team to generate themes, with representative quotations selected as illustrations. RESULTS We conducted interviews with 20 participants, of whom 12 (60%) were female and 9 (45%) were White; in addition, the participants’ mean glycated hemoglobin A<sub>1c</sub> control was 7.8 (SD 1.1). Overall, 5 key themes were identified: patients try to incorporate <i>cues</i> into their routines to help them with consistent medication taking; many patients leverage some form of technology as a cue to support adherence to medication taking and diabetes self-management behaviors; patients value simplicity and integration of technology solutions used for diabetes care, managing medications, and communicating with health care providers; some patients express reluctance to rely on mobile technology for these diabetes care behaviors; and patients believe they prefer positively framed communication, but communication preferences are highly individualized. CONCLUSIONS The participants expressed some hesitation about using mobile technology in supporting diabetes self-management but have largely incorporated it or are open to incorporating it as a cue to make medication taking more automatic and less burdensome. When using technology to support diabetes self-management, participants exhibited individualized preferences, but overall, they preferred simple and positively framed communication. mHealth interventions may be improved by focusing on integrating them easily into daily routines and increasing the customization of content.

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