scholarly journals Management of Chronic Disease and Hospitalization Due to Diabetes among Type 2 Diabetes Patients in Korea: Using the National Sample Cohort Data 2002–2013

2018 ◽  
Vol 15 (11) ◽  
pp. 2541
Author(s):  
Sang Lee ◽  
Woorim Kim ◽  
Sarah Oh ◽  
Jieun Yang ◽  
Jieun Jang ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Chronic Disease ◽  
National Sample ◽  
Self Management ◽  
Management Skills ◽  
Cohort Data ◽  
Onset Of Diabetes ◽  
Cox Proportional Hazard Regression ◽  
Diabetes Patients

To prevent negative outcomes for diabetes patients, developing self-management skills is imperative. This study aimed to examine the association between management of chronic disease (MCD), which mainly involves educating patients about their chronic diseases for obtaining self-management skills and hospitalization due to diabetes among type 2 diabetes patients in Korea. Korean National Health Insurance Service National Sample Cohort data from 2002 to 2013 were used. A total of 54,031 type 2 diabetes patients were included in the study. If patients received the MCD within 1 year from the onset of diabetes, we categorized them as “MCD received patients” We reclassified these groups into five groups: “non-receiving”, “1–3 times”, “4–6 times”, “7–9 times” and “10–12 times” The dependent variable of this study was hospitalization due to diabetes. Cox proportional hazard regression was used. Of the patients, 86.2% (n = 46,571) did not received the MCD within the 1 year from the onset of diabetes. The number of MCDs received increased and the hazard ratio (HR) for hospitalization due to diabetes decreased; particularly, patients who received MCD 10–12 times per annum showed the lowest HR for hospitalization due to diabetes compared to patients in the MCD non-received group (1–3 times per annum: HR: 0.81, p = 0.0001; 4–6 times per annum: HR: 0.82, p = 0.0248; 7–9 times per annum: HR: 0.75, p = 0.0054; 10–12 times per annum: HR: 0.61, p < 0.0001). Considering the importance of raising self-managing diabetes skills, the findings can aid in determining the outcomes of the MCD program.

scholarly journals The development of multimorbidity during 16 years after diagnosis of type 2 diabetes

2018 ◽  
Vol 8 (1) ◽  
pp. 2235042X1880165 ◽  
Author(s):  
Sandra Pouplier ◽  
Maria Åhlander Olsen ◽  
Tora Grauers Willadsen ◽  
Håkon Sandholdt ◽  
Volkert Siersma ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Chronic Disease ◽  
Diabetes Care ◽  
Cox Regression ◽  
Neurological Diseases ◽  
Gastrointestinal Diseases ◽  
Diabetes Diagnosis ◽  
Prevalent Disease ◽  
Diabetes Patients

Objective: The aims of this study were to (1) quantify the development and composition of multimorbidity (MM) during 16 years following the diagnosis of type 2 diabetes and (2) evaluate whether the effectiveness of structured personal diabetes care differed between patients with and without MM. Research design and methods: One thousand three hundred eighty-one patients with newly diagnosed type 2 diabetes were randomized to receive either structured personal diabetes care or routine diabetes care. Patients were followed up for 19 years in Danish nationwide registries for the occurrence of outcomes. We analyzed the prevalence and degree of MM based on 10 well-defined disease groups. The effect of structured personal care in diabetes patients with and without MM was analyzed with Cox regression models. Results: The proportion of patients with MM increased from 31.6% at diabetes diagnosis to 80.4% after 16 years. The proportion of cardiovascular and gastrointestinal diseases in surviving patients decreased, while, for example, musculoskeletal, eye, and neurological diseases increased. The effect of the intervention was not different between type 2 diabetes patients with or without coexisting chronic disease. Conclusions: In general, the proportion of patients with MM increased after diabetes diagnosis, but the composition of chronic disease changed during the 16 years. We found cardiovascular and musculoskeletal disease to be the most prevalent disease groups during all 16 years of follow-up. The post hoc analysis of the intervention showed that its effectiveness was not different among patients who developed MM compared to those who continued to have diabetes alone.

Telemedicine-Assisted Self-Management Program for Type 2 Diabetes Patients

2019 ◽  
Vol 21 (9) ◽  
pp. 514-521 ◽  
Author(s):  
Katja von Storch ◽  
Elisabeth Graaf ◽  
Max Wunderlich ◽  
Christian Rietz ◽  
M. Cristina Polidori ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Management Program ◽  
Self Management ◽  
Diabetes Patients

scholarly journals A survey on patients' characteristics, perception of family support and diabetes self‐management among type 2 diabetes patients in South‐West Nigeria

Nursing Open ◽  
2019 ◽  
Vol 6 (2) ◽  
pp. 208-215 ◽  
Author(s):  
Lucia Y. Ojewale ◽  
Abimbola O. Oluwatosin ◽  
Adesoji A. Fasanmade ◽  
Olatunde Odusan
Keyword(s):  
Type 2 Diabetes ◽  
Family Support ◽  
Self Management ◽  
South West ◽  
Diabetes Patients

scholarly journals Uptake and Effects of the e-Vita Personal Health Record with Self-Management Support and Coaching, for Type 2 Diabetes Patients Treated in Primary Care

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
M. van Vugt ◽  
M. de Wit ◽  
F. Sieverink ◽  
Y. Roelofsen ◽  
S. H. Hendriks ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Primary Care ◽  
Personal Health Record ◽  
Self Management ◽  
Personal Health ◽  
Health Record ◽  
Management Support ◽  
Emotional Wellbeing ◽  
Diabetes Patients

We studied the use, uptake, and effects of e-Vita, a personal health record, with self-management support and personalized asynchronized coaching, for type 2 diabetes patients treated in primary care. Patients were invited by their practice nurse to join the study aimed at testing use and effects of a personal health record. Patients were followed up for 6 months. Uptake and usage were monitored using log data. Outcomes were self-reported diabetes self-care, diabetes-related distress, and emotional wellbeing. Patients’ health status was collected from their medical chart. 132 patients agreed to participate in the study of which less than half (46.1%) did not return to the personal health record after 1st login. Only 5 patients used the self-management support program within the personal health record, 3 of whom asked a coach for feedback. Low use of the personal health record was registered. No statistical significant differences on any of the outcome measures were found between baseline and 6 month follow-up. This study showed minimal impact of implementing a personal health record including self-management support in primary diabetes care. Successful adoption of web-based platforms, as ongoing patient centered care, is hard to achieve without additional strategies aimed at enhancing patient motivation and engaging professionals.

scholarly journals Scale Space Methods for Analysis of Type 2 Diabetes Patients' Blood Glucose Values

2011 ◽  
Vol 2011 ◽  
pp. 1-7 ◽  
Author(s):  
Stein Olav Skrøvseth ◽  
Fred Godtliebsen
Keyword(s):  
Type 2 Diabetes ◽  
Blood Glucose ◽  
Scale Space ◽  
Self Management ◽  
Management Process ◽  
Sampled Data ◽  
Frequency Space ◽  
Blood Glucose Concentrations ◽  
Diabetes Patients

We describe how scale space methods can be used for quantitative analysis of blood glucose concentrations from type 2 diabetes patients. Blood glucose values were recorded voluntarily by the patients over one full year as part of a self-management process, where the time and frequency of the recordings are decided by the patients. This makes a unique dataset in its extent, though with a large variation in reliability of the recordings. Scale space and frequency space techniques are suited to reveal important features of unevenly sampled data, and useful for identifying medically relevant features for use both by patients as part of their self-management process, and provide useful information for physicians.

scholarly journals DialBetics: Smartphone-Based Self-Management for Type 2 Diabetes Patients

2012 ◽  
Vol 6 (4) ◽  
pp. 983-985 ◽  
Author(s):  
Kayo Waki ◽  
Hideo Fujita ◽  
Yuji Uchimura ◽  
Eiji Aramaki ◽  
Koji Omae ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Self Management ◽  
Diabetes Patients
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