scholarly journals Effects of FamilyDoctor Concept and Doctor-Patient Interaction Satisfaction on Glycaemic Control among Type 2 Diabetes Mellitus Patients in the Northeast Region of Peninsular Malaysia

2020 ◽  
Vol 17 (5) ◽  
pp. 1765
Author(s):  
Noorfariza Nordin ◽  
Suhaily Mohd Hairon ◽  
Najib Majdi Yaacob ◽  
Anees Abdul Hamid ◽  
Norzaihan Hassan
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Logistic Regression ◽  
Glycaemic Control ◽  
Multiple Logistic Regression ◽  
Health Clinics ◽  
Patient Interaction ◽  
The Difference

The implementation of Family Doctor Concept (FDC) to restructure the primary healthcare systems in Malaysia were expected to enhance patient’s satisfaction on doctor-patient interaction and subsequently improved glycaemic control among Type 2 Diabetes Mellitus (T2DM) patients. Thus, this study aims to determine the difference in doctor-patient interaction satisfaction between T2DM patients attended FDC-implemented clinic vs non-FDC clinics, and to determine the association between FDC-implemented clinic and doctor-patient interaction satisfaction towards glycaemic control. A cross-sectional study was conducted throughout 10 districts in Kelantan from February until May 2019 using interview-guided Skala Kepuasan Interaksi Perubatan-11 (SKIP-11) and proforma checklist. Data were analyzed using SPSS ver.24. Chi-square statistic used to determine the difference in doctor-patient interaction satisfaction between both clinics type. Multiple logistic regression used to examine the association between FDC-implemented clinic and doctor-patient interaction satisfaction towards glycaemic control. Twenty primary health clinics involved, and 772 T2DM patients recruited. FDC clinics attendees has higher proportion of satisfaction (40.1%) compared to non-FDC attendees (33.7%) (p = 0.070). Multiple logistic regression confirmed the association of FDC-implemented health clinics (Adj. OR 1.63, p = 0.021), and doctor-patients interaction satisfaction (Adj. OR 1.77, p = 0.005) towards glycaemic control. Hence, strengthening of FDC in primary healthcare and improve the doctor-patient interaction satisfaction were essential to escalate good glycaemic control.

The Study of Medication Understanding and Medication Adherence in Chinese Patients with Type 2 Diabetes Mellitus

2020 ◽  
Vol 103 (10) ◽  
pp. 1004-1010
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Logistic Regression ◽  
High Education ◽  
Medication Adherence ◽  
Chinese Patients ◽  
Multiple Logistic Regression ◽  
Low Education

Background: Medication adherence (MA) is a key component to prevent complications of diabetes mellitus. Patients with better medication understanding (MU) showed higher MA. While there were numerous studies of MA in Chinese patients, there has not been any MU study. Objective: To assess the associations of MA and MU in Chinese patients with type 2 diabetes mellitus (T2D). To translate and validate the Chinese version of the Medication Understanding Questionnaire (C-MUQ). Materials and Methods: A cross-sectional study was conducted in 384 Chinese T2D patients. The MA was assessed using the proportion of days covered (PDC), and the MU was assessed using the C-MUQ. The multiple logistic regression was applied to simultaneously assess the association of MA (good or poor MA) with MU and other contributing factors including the sociodemographic characteristics and clinical conditions of patients. Results: The average PDC of study patients was 89.78% (SD 14.75%), and 77.08% of the patients were classified into the good MA group (PDC is 80% or greater). Based on multiple logistic regression as good MA as dependent variable, factors significantly associated with good MA were not long durations of diabetes, not using traditional Chinese medicine (TCM) products, and the interaction effect of high education level and good MU. The adjusted odd ratio (AOR) were 0.28 (95% CI 0.10 to 0.79) for 25 years or more of diabetes durations, 0.33 (95% CI 0.12 to 0.89) for using TCM products, 3.28 (95% CI 1.94 to 8.62) for high education with poor MU, 4.09 (95% CI 1.46 to 7.36) for low education with good MU, and 5.32 (95% CI 2.49 to 11.34) for high education with good MU, respectively. Conclusion: To achieve good MA, the Chinese health professionals should concern about improving MU, especially in the low education patients. Keywords: Medication understanding, Medication adherence, Type 2 diabetes

scholarly journals Prevalence and Risk Factors of Latent Tuberculosis Infection (LTBI) in Patients with Type 2 Diabetes Mellitus (T2DM)

2021 ◽  
Vol 18 (1) ◽  
pp. 305
Author(s):  
Phan Ai Ping ◽  
Rosnani Zakaria ◽  
Md Asiful Islam ◽  
Lili Husniati Yaacob ◽  
Rosediani Muhamad ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Logistic Regression ◽  
Smoking Status ◽  
Multiple Logistic Regression ◽  
Cross Sectional ◽  
Significant Difference

Type 2 diabetes mellitus (T2DM) and tuberculosis (TB) together impose a high disease burden in terms of both mortality and health economics worldwide. The objective of this study was to estimate the prevalence and risk factors of latent TB infection (LTBI) in patients with T2DM in Malaysia. A cross-sectional study was performed, and adult T2DM patients (n = 299) were included. Simple and multiple logistic regression analyses were performed to identify the LTBI-associated risk factors in patients with T2DM. Multiple logistic regression was used to estimate adjusted odds ratios (aOR) and 95% confidence intervals (CIs) between T2DM and LTBI and was adjusted for potential confounders. The prevalence of LTBI in patients with T2DM was 11.4% (95% CI: 8.0–15.0%). There was no significant difference in the socio-demographic characteristics between LTBI and non-LTBI subjects. No significant difference in the smoking status, the duration of smoking, and the duration of T2DM, HbA1c, or treatments was observed. Interestingly, a higher level of education was observed to be associated with a lower prevalence of LTBI in T2DM patients (aOR: 0.08, 95% CI: 0.01–0.70, p = 0.02). Although the prevalence of LTBI in T2DM was low, it is important to screen for it in T2DM patients due to the risk of developing severe active TB.

Sodium–glucose cotransporter-2 inhibitors: where and when?

2021 ◽  
Author(s):  
Martin R Cowie
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Kidney Disease ◽  
Glycaemic Control ◽  
Improve Outcome ◽  
Is Implementation ◽  
Sodium Glucose Cotransporter

Tweetable abstract Sodium–glucose cotransporter-2 inhibitors not only improve glycaemic control in Type 2 diabetes mellitus but convincingly improve outcome for everyone with HFrEF and albuminuric kidney disease. Trials then license – now all we need is implementation

scholarly journals Improving Glycaemic Control in Patients with Type 2 Diabetes Mellitus through A Peer Support Instant Messaging Service Intervention (Diabpeers): Study Protocol for a Randomized Controlled Trial

2021 ◽  
Author(s):  
Elisabeth Höld ◽  
Johanna Grüblbauer ◽  
Martin Wiesholzer ◽  
Daniela Wewerka-Kreimel ◽  
Stefan Stieger ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Glycaemic Control ◽  
Standard Therapy ◽  
Instant Messaging ◽  
Self Management ◽  
Diabetes Therapy

Abstract Background: the context and purpose of the studyDiabetes mellitus is one of the four priority non-communicable diseases worldwide. It can lead to serious long-term complications and produces significant costs. Due to the chronicle character of the disease, it requires continuous medical treatment and good therapy adherence of those suffering. Therefore, diabetes self-management education (DSME) (and support DSMES) plays a significant role to increase patient’s self-management capacity and improve diabetes therapy. Research indicates that these outcomes might be difficult to maintain. Consequently, effective strategies to preserve the positive effects of DSMES are needed. Preliminary results show that peer support, which means support from a person who has experiential knowledge of a specific behaviour or stressor and similar characteristics as the target population, is associated with better outcomes in terms of HbA1c, cardiovascular disease risk factors or self-efficacy at lower cost compared to standard therapy. Peer-supported instant messaging services (IMS) approaches have significant potential for diabetes management because support can be provided easily and prompt, is inexpensive, and needs less effort to attend compared to standard therapy. The major objective of the study is to analyse the impact of a peer-supported IMS intervention in addition to a standard diabetes therapy on the glycaemic control of type 2 diabetic patients. Methods: how the study will be performedA total of 205 participants with type 2 diabetes mellitus will be included and randomly assigned to intervention or control group. Both groups will receive standard therapy, but the intervention group will participate in the peer-supported IMS intervention, additionally. The duration of the intervention will last for seven months, followed by a follow-up of seven months. Biochemical, behavioural and psychosocial parameters will be measured before, in the middle, and after the intervention as well as after the follow-up.Discussion: a brief summary and potential implicationsDiabetes mellitus type 2 and other non-communicable diseases put healthcare systems worldwide to the test. Peer-supported IMS interventions in addition to standard therapy might be part of new and cost-effective approaches to support patients independent from time and place.Trial registration: If your article reports the results of a health care intervention on human participants, it must be registered in an appropriate registry and the registration number and date of registration should be in stated in this section. If it was not registered prospectively (before enrollment of the first participant), you should include the words 'retrospectively registered'. See our editorial policies for more information on trial registration.ClinicalTrials.gov Identifier: NCT04797429Date of registration: 15 March 2021

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