scholarly journals Detecting the depression level of patient with type 2 diabetes mellitus based on diabetes complication, and the self-management behavior in Cipto Mangunkusumo hospital

2018 ◽  
Author(s):  
E. T. Fatimah ◽  
S. Soebardi ◽  
T. Siswantining ◽  
A. Bustamam
2017 ◽  
Vol 10 (6) ◽  
pp. 773-783 ◽  
Author(s):  
Allison H. Oakes ◽  
Vincent S. Garmo ◽  
Lee R. Bone ◽  
Daniel R. Longo ◽  
Jodi B. Segal ◽  
...  

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 ◽  
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.


JMIR Diabetes ◽  
10.2196/23687 ◽  
2021 ◽  
Vol 6 (1) ◽  
pp. e23687 ◽  
Author(s):  
Jessica R Forsyth ◽  
Hannah Chase ◽  
Nia W Roberts ◽  
Laura C Armitage ◽  
Andrew J Farmer

Background There is a growing role of digital health technologies (DHTs) in the management of chronic health conditions, specifically type 2 diabetes. It is increasingly important that health technologies meet the evidence standards for health care settings. In 2019, the National Institute for Health and Care Excellence (NICE) published the NICE Evidence Standards Framework for DHTs. This provides guidance for evaluating the effectiveness and economic value of DHTs in health care settings in the United Kingdom. Objective The aim of this study is to assess whether scientific articles on DHTs for the self-management of type 2 diabetes mellitus report the evidence suggested for implementation in clinical practice, as described in the NICE Evidence Standards Framework for DHTs. Methods We performed a scoping review of published articles and searched 5 databases to identify systematic reviews and primary studies of mobile device–delivered DHTs that provide self-management support for adults with type 2 diabetes mellitus. The evidence reported within articles was assessed against standards described in the NICE framework. Results The database search yielded 715 systematic reviews, of which, 45 were relevant and together included 59 eligible primary studies. Within these, there were 39 unique technologies. Using the NICE framework, 13 technologies met best practice standards, 3 met minimum standards only, and 23 technologies did not meet minimum standards. Conclusions On the assessment of peer-reviewed publications, over half of the identified DHTs did not appear to meet the minimum evidence standards recommended by the NICE framework. The most common reasons for studies of DHTs not meeting these evidence standards included the absence of a comparator group, no previous justification of sample size, no measurable improvement in condition-related outcomes, and a lack of statistical data analysis. This report provides information that will enable researchers and digital health developers to address these limitations when designing, delivering, and reporting digital health technology research in the future.


2020 ◽  
Author(s):  
Jessica R Forsyth ◽  
Hannah Chase ◽  
Nia W Roberts ◽  
Laura C Armitage ◽  
Andrew J Farmer

BACKGROUND There is a growing role of digital health technologies (DHTs) in the management of chronic health conditions, specifically type 2 diabetes. It is increasingly important that health technologies meet the evidence standards for health care settings. In 2019, the National Institute for Health and Care Excellence (NICE) published the <i>NICE Evidence Standards Framework for DHTs</i>. This provides guidance for evaluating the effectiveness and economic value of DHTs in health care settings in the United Kingdom. OBJECTIVE The aim of this study is to assess whether scientific articles on DHTs for the self-management of type 2 diabetes mellitus report the evidence suggested for implementation in clinical practice, as described in the <i>NICE Evidence Standards Framework for DHTs</i>. METHODS We performed a scoping review of published articles and searched 5 databases to identify systematic reviews and primary studies of mobile device–delivered DHTs that provide self-management support for adults with type 2 diabetes mellitus. The evidence reported within articles was assessed against standards described in the NICE framework. RESULTS The database search yielded 715 systematic reviews, of which, 45 were relevant and together included 59 eligible primary studies. Within these, there were 39 unique technologies. Using the NICE framework, 13 technologies met <i>best practice</i> standards, 3 met <i>minimum</i> standards only, and 23 technologies did not meet <i>minimum</i> standards. CONCLUSIONS On the assessment of peer-reviewed publications, over half of the identified DHTs did not appear to meet the minimum evidence standards recommended by the NICE framework. The most common reasons for studies of DHTs not meeting these evidence standards included the absence of a comparator group, no previous justification of sample size, no measurable improvement in condition-related outcomes, and a lack of statistical data analysis. This report provides information that will enable researchers and digital health developers to address these limitations when designing, delivering, and reporting digital health technology research in the future.


2021 ◽  
Vol 6 (2) ◽  
pp. 106
Author(s):  
Amaliathus Sholikhah ◽  
Retno Widiarini ◽  
Pipid Ari Wibowo

Puskesmas Manguharjo is a health center in Madiun City where the number of diabetes sufferers has increased every year with a total of 2,186 cases in 2019, spread across 4 urban villages, one of which is in the Nambangan Lor sub-district in 2019, there were 109 cases of which their blood sugar was checked. The purpose of this study was to determine the relationship between family support and self-management behavior with the stress level of undergoing a diet in type 2 diabetes mellitus sufferers in Nambangan Lor Village, Manguharjo City, Madiun District. This type of research used a cross-sectional study design. The number of samples needed is 86 people with the sampling technique used is simple random sampling using the Chi_Square test. Based on bivariate analysis, variable family support p = 0.021 and self-management behavior p = 0.006 proved to be associated with stress levels of dieting in people with type 2 diabetes mellitus in Nambangan Lor Village, Manguharjo District, Madiun City. The results showed that most of the type 2 DM sufferers had poor family support as many as 50 people, had good self-management behavior as many as 46 people, and most had moderate stress levels as many as 33 people. Researchers provide suggestions, namely to increase family support for people with diabetes mellitus


2021 ◽  
pp. 440-453
Author(s):  
Hertuida Clara ◽  
Dewi Irawaty ◽  
Debie Dahlia

Diabetes mellitus is a major health challenge associated with morbidity and mortality. Self-management behaviors are a critical part of diabetes disease management. Empowered or activated patients are more likely to practice better implementation of self-management behaviors. However, self-management behavior practice has not always been applied effectively among these populations. Further investigations are necessary to evaluate the status and factors that influence the practice of selfmanagement behaviors among patients with diabetes. The purpose of this research is to identify the relationship between self-efficacy and self-management behaviors of people with type 2 Diabetes Mellitus. A cross-sectional research design was used in this study; 112 eligible people with type 2 Diabetes were recruited. Several questionnaires were used in this study including demographic and patient characteristics, Diabetes Management Self Efficacy Scale (DMSES), Summary Diabetes Self Care Activity (SDSCA), and Diabetes Knowledge (DKN) Scale. Data analysis was performed through univariate, bivariate, and multivariate analyzes. Most of the respondents studied were women, aged 34-74 years and the highest educational background was secondary education, 33.9% of respondents have a good level of knowledge, and 59.8% have good self-efficacy. The results show the significant relationship between self-efficacy and self-management behaviors (p-value < 0.001). The results of multivariate analysis showed that there was a relationship between self-efficacy and self-management behavior after being controlled by the knowledge and the duration of diabetes. Therefore, nurses need to improve the self-efficacy of people with type 2 Diabetes by providing education about the management of Diabetes, as well as supporting and motivating them.   Keywords: self-efficacy, self-management behaviors, people with type 2 Diabetes Mellitus


2021 ◽  
Vol 19 (1) ◽  
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 severe complications. However, there is a contradiction in the relationship between social support and quality of life, which warrants further exploration of the internal mechanism. This study assessed the 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: (1) directly (c′ = 0.6831); (2) indirectly through self-management behavior (a1*b1 = 0.1773); and (3) indirectly through FPG control (a2*b2 = 0.1929). Self-management behavior influenced the 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 the elderly patients with type 2 diabetes mellitus regarding medication, blood glucose monitoring, and physical exercise.


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