The Effect of Online Support of an Internet Plus Shared Care Diabetes Management Model on Metabolic Indicators for Patients With Type 2 Diabetes During the COVID-19 Pandemic

Author(s):  
Ang Li ◽  
GUO Xiaohui ◽  
Lin Liu ◽  
Xiaoyong Yuan ◽  
Difei Lu ◽  
...  

Abstract Purpose: This study aimed to explore the influences of online support of an Internet plus Shared Care diabetes management model on metabolic indicators and the differences before and after the coronavirus disease 2019 (COVID-19) pandemic. Method: Type 2 diabetes patients who visited the Peking University First Hospital Internet plus Shared Care clinic from May 18, 2020 to June 20, 2020 (after the COVID-19 pandemic subsided) were enrolled in the study. The age, gender, usage of insulin, and duration of diabetes of the patients were collected. The glycosylated hemoglobin (HbA1c), interval between two consecutive visits, communication frequencies with online diabetes educators through an app, online self-monitoring of blood glucose (SMBG) and upload count and SMBG pairing count (before–after meal) were collected before (prior to January 20, 2020) and after (from May 18, 2020 to June 20, 2020) the COVID-19 pandemic for logistic regression analysis. The R-3.4.4 and TWANG programs were used for analysis. The group of patients whose HbA1c did not change during the pandemic was the control group, while the group of patients with improved HbA1c was the dependent variable. Independent variables included age, gender, duration of disease, insulin usage, online communication amount, SMBG count, and SMBG pairing count. Propensity score matching (PSM) was applied with age, duration, gender, body mass index (BMI), HbA1c, low density lipoprotein- cholesterol (LDL-C), and blood pressure (BP) at baseline as the concomitant variable. After the PSM weighting, the average treatment effect (ATE) of post-pandemic BMI, HbA1c, LDL-C, and BP was compared with the baseline. Results: A total of 387 patients were enrolled in the study including 184 female (47.5%). The baseline values were the following: age, 61.7±9.4 year;, duration of diabetes, 11.7±8.2 years; BMI, 25.9±3.8Kg/m2; HbA1c, 7.2±1.3%; LDL-C, 2.49±0.85mmol/L; systolic BP, 130.8±14.9 mmHg; and diastolic BP, 81.1±40.9 mmHg. Among variables, online communication amounted to a statistically significant contribution to the HbA1c improvement after the COVID-19 pandemic (OR=2.178, p=0.003). During the pandemic, each patient received 18 (3, 56) times online communication support per quarter. Patients were divided into four groups by quartiles: Q1 (more than 56 times/quarter, n=95), Q2 (18–56 times/quarter, n=97), Q3 (3–18 times/quarter, n=93), and Q4 (0–3 times/quarter, n=102). After PSM, post-pandemic data showed significant differences. Between-group variance was found in HbA1c (Q1 vs. Q3, -0.42±0.16%, p=0.009; Q1 vs. Q4, -0.53±0.15%, p=0.0009) and BMI (Q1 vs. Q3, -1.2±0.5, p=0.02; Q1 vs. Q4 -1.5±0.7, p=0.01) of patients.Conclusion: During the COVID-19 pandemic, high-quality online support of the Internet plus Shared Care diabetes management model can significantly improve the HbA1c and BMI of type 2 diabetes patients.

2018 ◽  
Vol 126 (09) ◽  
pp. e2-e2
Author(s):  
Margarete Voigt ◽  
Sebastian Schmidt ◽  
Thomas Lehmann ◽  
Benjamin Köhler ◽  
Christof Kloos ◽  
...  

2020 ◽  
Vol 79 (OCE2) ◽  
Author(s):  
Zoe Pafili ◽  
Sophia Samara ◽  
Charilaos Dimosthenopoulos ◽  
Olga Gkortzi

AbstractIntroductionAccording to diabetes care standards nutrition therapy should be an integral part of diabetes management, and all individuals with diabetes should be referred to a registered dietitian for nutrition therapy at—or soon after—diagnosis and for ongoing follow-up. There is limited international data that indicate that a large percentage of people with diabetes have not received structured diabetes education and have not visited a dietitian. The aim of this study was to assess the involvement of dietitians in diabetes care in Greece.Materials and MethodsAll adult diabetic patients admitted to a secondary care general hospital in Greece during 30 consecutive days were included in the study. Patients admitted in the ICU, CICU, day clinics and hemodialysis patients were excluded. Data were obtained by personal interviews using a 40 item questionnaire which included 10 questions regarding number of visits to dietitians for diabetes management, whether patients were referred by their doctors or sought dietary advice by their own, reasons for visiting a dietitian, goal achievement and patient satisfaction.ResultsIn total 124 patients (68 males and 56 females) with diabetes were admitted to the hospital during the study period (4 type 1, 114 type 2 and 6 pregnancy diabetes). Data were obtained from 3 (22.8 ± 6 yrs, 26.1 ± 5.7kg/m2,8.3 ± 5.9 yrs with diabetes),105 (76.6 ± 11.3 yrs, 28.0 ± 5.3 kg/m2, 12.8 ± 9.3 yrs with diabetes), and 5 (32.6 ± 4.4 yrs, 28.5 ± 4.0 kg/m2) patients with type 1, type 2 and pregnancy diabetes respectively. Two out of 3 type 1 diabetes and 1 out of 5 patients with pregnancy diabetes interviewed reported to have been referred to a dietitian by their doctor. Only 5.7% (6 patients) of type 2 diabetes patients reported to have been referred to a dietitian by their doctor and another 5.7% have visited a dietitian on their own initiative. Five out of 6 referrals were at diabetes diagnosis. The number of encounters with a dietitian ranged from 1 to 24 with patients seeking to loose weight having the greater number of encounters. Of type 2 diabetes patients 94.3% did not receive lifestyle advice before commencing diabetes medication whereas 25% did not receive any dietary advice by any health professional even after starting medication.ConclusionsIn our cohort the majority of diabetes patients had not received dietary counseling by a dietitian, whereas about one fourth of type 2 diabetes patients had not received any dietary advice.


2020 ◽  
Vol 35 (6) ◽  
pp. e196-e196
Author(s):  
Kamila Al-Alawi ◽  
Ahmed Al-Mandhari

Objectives: The literature has described several positive outcomes related to diabetes management via nurse-led clinics. This is especially true where a shortage of physicians is recorded within a team-based approach. We sought to explore the perceptions of patients with type 2 diabetes towards the current diabetes management visits at public primary health care centers in Muscat, Oman and their opinions towards nurse-led diabetes management clinics. Methods: This pilot qualitative study included seven semi-structured interviews with type 2 diabetes patients from four purposely selected public primary health care centers in Muscat. Qualitative thematic analysis was applied. Results: Patients with type 2 diabetes expressed their satisfaction with the present diabetes management visits at public primary health care. Their opinions towards nurse-led clinic were diverse and divided patients into three categories: those who totally refused the nurse-led clinics, those who accepted the clinics but with reservations, and patients that totally accepted the nurse-led clinics. The patients’ main concern was the nurses’ abilities to handle and understand the disease and its management. Conclusions: Our pilot study revealed type 2 diabetes patients’ satisfaction with the current diabetes management clinics. However, transformation to nurse-led clinics within team-based approach requires further studies with a bigger sample size. Further studies on requirements related to the Omani health care system and a better understanding of patients’ worries and their readiness to accept the concept of nurse-led clinics and their outcomes are also recommended.


2020 ◽  
Author(s):  
Robert Mutagwanya ◽  
Christine Magala Nyago ◽  
Fredrick Nelson Nakwagala

Abstract Background: Consumption of a varied diet reduces the risk of developing a deficiency or excess of any one nutrient. One of the three corner stones of diabetes management is diet and therefore, dietary diversity is key among diabetes patients. Objective: The objective of this study was to establish the impact of nutrition education on the dietary diversity scores (DDS) among type 2 diabetes patients. Methods: Kant et al method was used for scoring dietary diversity. Data were analyzed using the statistical package for social sciences (SPSS version 21). Pair sample t-test was used to compare total DDS after and before nutrition education. P< 0.05 was considered as statistically significant.Subjects: One hundred type 2 diabetic patients were randomly selected and divided into two groups of intervention and control (50 patients in each group) to participate in the study. Data were collected using a pre-tested questionnaire before and after intervention every after one month for a period of four months of intervention.Results: The average age of patients who participated in the study was 48 (40–51) years. Most of the patients were females (65.39%), compared to males (34.01%). At the end of the study period of four months, DDS in the control group decreased from 40.08% to 38.49% (p=0.064) while in the intervention group, DDS increased from 35.30 % to 54.20% (p<0.001). Conclusion: Dietary diversity increased after nutrition education among type 2 diabetes patients.Trial registration: The study was registered and approved on 17th April 2013 by the Research and Ethics committee of Mulago Hospital and Institutional Review Board of Mulago hospital (Protocol MREC 113).


Author(s):  
Ahmed Chetoui ◽  
Kamal Kaoutar ◽  
Soufiane Elmoussaoui ◽  
Kaltoum Boutahar ◽  
Abdesslam El Kardoudi ◽  
...  

Abstract Background Diabetes remains poorly controlled in a high proportion of diabetes patients. This study examines the prevalence of poor glycaemic control and associated factors in type 2 diabetes patients in the Beni-Mellal Khenifra region in Morocco. Methods A cross-sectional survey was conducted in 2017 among 1456 diabetes patients attending primary health centres. Demographic and clinical data were collected through face-to-face interviews using structured and pre-tested questionnaires. Anthropometric measurements, including body weight, height and waist circumference were taken using standardized techniques and calibrated equipment. Glycaemic control was assessed in terms of the glycated haemoglobin (HbA1c) level and poor glycaemic control was defined as HbA1c ≥7% and a level &lt;7% reflects good glycaemic control. Results Of the total participants, 66.3% had poor glycaemic control. Bivariate analysis showed that sex (p=0.010), education level (p=0.013), body mass index (p=0.048), duration of diabetes (p&lt;0.0001) and type of therapeutic regimen (p&lt;0.0001) were significantly associated with HbA1c level. However, multiple logistic regression analyses revealed that only a longer duration of diabetes (OR 1.525 [95% confidence interval {CI} 1.183–1.967], p=0.001) and receiving insulin therapy alone (OR 1.589 [95% CI 1.157–2.183], p=0.004) or a combination of oral antidiabetics with insulin (OR 2.554 [95% CI 1.786–3.653], p&lt;0.001) were significantly associated with inadequate glycaemic control. Conclusions Despite the particularities of the region, the findings about glycaemic control and its cross-sectionally associated factors are in line with findings from other regions of Morocco. In this subgroup, the longer duration of diabetes and insulin treatment could constitute a cause leading to poor glycaemic control. However, inverse causality cannot be excluded.


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