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

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

2021 ◽  
Author(s):  
Lucija Gosak ◽  
Majda Pajnkihar ◽  
Gregor Štiglic

BACKGROUND Chronic diseases are an important public health issue worldwide and affect an individual's quality of life. Due to the alarming rise in type 2 diabetes, healthcare, which was previously largely focused primarily on diagnosis and treatment of the disease, is increasingly focused on prevention and self-care. Patients who adhere to a constant and strict treatment regimen (physical activity, diet, medication) and regularly monitor their health, maintain self-care and health, prevent exacerbation of the disease and prevent complications of diabetes (retinopathy, diabetic feet). Many innovative devices that have become increasingly present in patient health care in recent years, such as mobile applications, are available to patients to maintain consistency in monitoring their health status. Mobile applications make it easier for individuals to monitor their self-care, monitor illness, and make it easier to follow instructions regarding disease control. OBJECTIVE The study aim is to determine the impact of mobile application use on self-care in patients with type 2 diabetes. The aim of the study is also to evaluate and test the usefulness of the forDiabetes application as a tool to improve the self-care of individuals with type 2 diabetes. METHODS We will perform a double-blind randomized controlled trial. The study will include individuals over the age of 18 who have been diagnosed and have regulated type 2 diabetes, who have already received oral treatment and are being treated in family medicine practice. Also, individuals included in the study should not have any acute complications due to the consequences of type 2 diabetes. During the study, they should be able to use an Android or iOS mobile phone and a blood glucose meter. With the help of simple randomization, individuals will be divided into an intervention and a control group. Individuals in the intervention group will use the forDiabetes mobile app to monitor their self-care for type 2 diabetes. Individuals in the control group will not receive a special intervention. Data will be collected using the “Self-care of Diabetes Inventory” questionnaire and a “Brief Illness Perception Questionnaire”. Blood sugar, blood pressure, HbA1c, and weight measurements will be monitored using the calibrated instruments during the study by the nurses employed in family medicine practice. Data will be collected at the beginning of the study and after the patient visit to the family medicine practice. RESULTS The expected results as a result of using the mobile application forDiabetes are the impact on the level of self-care, the impact on the perception of the disease, blood sugar levels, blood pressure, HbA1c, and the measured body weight of the patient. CONCLUSIONS The research contributes to greater visibility and usability of mobile applications for self-care of patients with type 2 diabetes and makes aware of the possible use of innovative methods. CLINICALTRIAL NCT04999189


2020 ◽  
Vol 15 (1) ◽  
pp. 121-126
Author(s):  
Noelia Herrero ◽  
Frederic Guerrero-Solé ◽  
Lluís Mas-Manchón

Background: Support groups play an important role in diabetes understanding and education. This study aims to find connections between participating in diabetes-related online communities (groups and forums) and the self-reported degree of self-care management and health problems associated with type 1 and 2 diabetes. Methods: A cross-sectional study using an online survey was conducted and 307 participants were recruited. Participants were asked about diabetes self-care management (glucose management, healthcare, dietary restrictions, and physical activity) and complications related to the disease, as well as their participation in online social groups and forums (duration, time, and intensity). Results: Belonging to diabetes-related online support groups (OSGs) was associated with lower scores in healthcare and self-management of diabetes ( M = 2.98, SD = 1.07, n = 207, for belonging to OSGs; and M = 4.22, SD = 0.59, n = 97, for not belonging to OSGs). These differences were not statistically significant for type 1 diabetes individuals ( M = 4.33, SD = 0.47, n = 28, for belonging to OSGs, and M = 4.29, SD = 0.48, n = 52, for not belonging to OSGs), but were highly significant for type 2 diabetes (T2D) individuals ( M = 2.41, SD = 0.68, n = 144, for belonging to OSGs; and M = 4.14, SD = 0.64, n = 61, for not belonging to OSGs). People with both type 1 and 2 diabetes reported to have suffered more complications derived from diabetes when they belonged to an OSG, but greater statistically significant differences were found in type 2 individuals. Conclusion: Patients with T2D who participate in OSGs show a higher correlation with having lower levels of diabetes self-care management as well as health complications related to the disease.


Author(s):  
Maddalena De Maria ◽  
Diletta Fabrizi ◽  
Michela Luciani ◽  
Rosario Caruso ◽  
Stefania Di Mauro ◽  
...  

Abstract Background The Self-care of Diabetes Inventory (SCODI) is a theory-based tool that measures self-care, a key strategy in the appropriate treatment of diabetes. However, despite the clinical differences between people with Type 1 Diabetes Mellitus (T1DM) and Type 2 Diabetes Mellitus (T2DM), the psychometric properties of the SCODI were only tested in mixed samples. Purpose This study aims to test the psychometric performances of the SCODI in two separate groups of adults with T1DM and T2DM. Methods This is a secondary analysis from two previous multicentre cross-sectional observational studies involving patients with T1DM (n = 181) and T2DM (n = 540). We tested dimensionality with confirmatory factor analysis and reliability with a multidimensional model-based coefficient for every scale of the SCODI: self-care maintenance, self-care monitoring, self-care management, and self-care self-efficacy. Results We found that the SCODI showed the same dimensionality, with minimal variation in factor loadings for each factor and each scale among T1DM and T2DM groups. High reliability for each scale in both groups was also found (self-care maintenance: T1DM = 0.86, T2DM = 0.83; self-care monitoring: T1DM = 0.84, T2DM = 1.00; self-care management: T1DM = 0.87, T2DM = 0.86; self-care self-efficacy: T1DM = 0.88; T2DM = 0.86). Conclusion The SCODI can be used for measuring self-care in people with T1DM, T2DM, or mixed groups using identical scoring procedures. Considering the well-known differences between Type 1 and Type 2 diabetes diseases and patients’ characteristics, our results support the generalizability of the self-care theory on which the instrument is based.


2021 ◽  
Vol 11 (2) ◽  
pp. 177-186
Author(s):  
Made Rini Damayanti ◽  
Gusti Ayu Ary Antari ◽  
Ni Luh Putu Nopriani

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.


2021 ◽  
Vol 10 (2) ◽  
Author(s):  
Ucik Ernawati ◽  
Titin Andri Wihastuti ◽  
Yulian Wiji Utami

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.


2020 ◽  
Vol 11 ◽  
pp. 215013272097420
Author(s):  
Rashid M. Ansari ◽  
Mark Harris ◽  
Hassan Hosseinzadeh ◽  
Nicholas Zwar

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


2016 ◽  
Vol 40 (1) ◽  
pp. 95-104 ◽  
Author(s):  
Shivani Goyal ◽  
Plinio Morita ◽  
Gary F. Lewis ◽  
Catherine Yu ◽  
Emily Seto ◽  
...  

2021 ◽  
Author(s):  
Maricarmen Moreno-Tochihuitl ◽  
Erika Lozada-Perezmitre ◽  
Carmen Cruz-Rivera ◽  
Rayo Cruz-Rivera ◽  
Lizamar-Lorena Ramos-Sánchez ◽  
...  

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.


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