scholarly journals Validity and Reliability of the Korean Version of the Self-Care of Diabetes Inventory (SCODI-K)

2021 ◽  
Vol 18 (22) ◽  
pp. 12179
Author(s):  
Seung-Yeon Kong ◽  
Mi-Kyoung Cho
Keyword(s):  
Type 2 Diabetes ◽  
Care Management ◽  
Self Care ◽  
The Self ◽  
Validity And Reliability ◽  
Four Dimensions ◽  
Korean Version ◽  
Behavior Health ◽  
Fit Index

This was a methodological study to evaluate the validity and reliability of the Korean version of the Self-Care of Diabetes Inventory (SCODI-K). A total of 210 patients with type 2 diabetes from a university hospital were enrolled. Content validity, construct validity, and criterion-related validity were evaluated. Cronbach’s α was used to assess reliability. The SCODI-K consisted of 40 items in four dimensions (self-care maintenance, self-care monitoring, self-care management, and confidence). Four factors (activity-nutritional behavior, health-adherence behavior, health-promotion behavior, diet-restriction behavior) in the dimension of self-care maintenance, two factors (health status monitoring, symptom recognition) in the dimension of self-care monitoring, three factors (glucose self-control, problem-solving behavior, consultative self-care) in the dimension of self-care management, and one factor (self-care confidence) in the dimension of confidence were extracted. Confirmatory factor analysis supported a good fit with reliable scores for the SCODI-K model (normed chi-square(χ²/df) < 5, root mean square error of approximation (RMSEA) < 0.1, comparative fit index (CFI) ≥ 0.9, goodness-of-fit-index (GFI) ≥ 0.9). The SCODI-K showed a high positive correlation coefficient of 0.75 with the summary of diabetes self-care activities (SDSCA), confirming convergent validity. Cronbach’s α was 0.92 for the overall scale and 0.69 to 0.90 for the four dimensions. Therefore, the SCODI-K is a valid and reliable instrument for assessing self-care of patients with type 2 diabetes in Korea.

Further Evidence of Psychometric Performance of the Self-care of Diabetes Inventory in Adults With Type 1 and Type 2 Diabetes

2021 ◽  
Author(s):  
Maddalena De Maria ◽  
Diletta Fabrizi ◽  
Michela Luciani ◽  
Rosario Caruso ◽  
Stefania Di Mauro ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Self Efficacy ◽  
Care Management ◽  
High Reliability ◽  
Self Care ◽  
The Self ◽  
Cross Sectional

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.

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 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.

The Impact of Mobile Health use on the Self-Care of Patients with Type 2 Diabetes: A Protocol for a Randomized Controlled Trial (Preprint)

2021 ◽  
Author(s):  
Lucija Gosak ◽  
Majda Pajnkihar ◽  
Gregor Štiglic
Keyword(s):  
Type 2 Diabetes ◽  
Family Medicine ◽  
Mobile Applications ◽  
Mobile Application ◽  
Controlled Trial ◽  
Self Care ◽  
The Self ◽  
Control Group ◽  
The Impact

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

scholarly journals Validity and reliability of the Korean version of self-care of heart failure index

2018 ◽  
Vol 8 (10) ◽  
pp. 96 ◽  
Author(s):  
Jin Shil Kim ◽  
Minjeong An ◽  
Hyojeong Seo ◽  
Seon Young Hwang ◽  
Jae Lan Shim
Keyword(s):  
Heart Failure ◽  
Care Management ◽  
Self Care ◽  
Psychometric Testing ◽  
Validity And Reliability ◽  
Failure Index ◽  
Korean Version ◽  
Reliability Estimates ◽  
Patients With Heart Failure ◽  
Therapeutic Recommendations

Purpose: Self-care and associated decisions for therapeutic recommendations have been a focus of attention recently in Korea. The purpose of this study was to address the dimensionality and reliability of a Korean version of Self-care of Heart Failure Index (SCHFI v.6.2), a measure of self-care of patients with heart failure within a clinical context.Methods: The study sample completed 120 surveys that consisted of demographic variables and the SCHFI v.6.2, which was created to measure self-care maintenance, self-care management, and self-care confidence in HF patients. Confirmatory factor analysis using Mplus verified a robust structural fit of the three dimensionality for each subscale.Results: Self-care maintenance, CFI = .92, TLI = .88, SRMR = .06, RMSEA = .07; self-care management, CFI = .93, TLI = .78, SRMR = .05, RMSEA = .24; self-care confidence, CFI = .95, TLI = .92, SRMR = .05, RMSEA = .13. Multidimensionality yielded the self-care maintenance scale having 4-factor structures, while each self-care management and confidence scale had a unidimensionality. Reliability estimates using methods compatible with each scale’s dimensionality were adequate to high, ranging from .71 to .96.Conclusions: Psychometric testing of the SCHFI demonstrates a sound model fit, with desirable reliability estimates given each scale dimensionality, using Cronbach’s alpha coefficient and alternative options.

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