OBJECTIVE: To examine Muslims' (1) perceptions of fasting exemptions, (2) medication usage behaviour, (3) perceptions of relationships with healthcare providers and (4) factors impacting health management during Ramadan.
METHOD: This was a qualitative study employing four focus groups (two groups of women and two groups of men). Adult Muslims (aged 18 years or more) with chronic diseases were invited to participate. Participants were asked open-ended questions about their fasting ability, medication usage behaviours, healthcare access and collaboration with providers during Ramadan. Trained researchers conducted the focus groups interviews in both English and Arabic. Each focus group was recorded, and three investigators independently transcribed the data and extracted themes and categories. Coding terminology issues were resolved through discussion.
RESULTS: Twenty-five Muslims with chronic diseases (e.g., diabetes, hypertension, renal failure and anaemia) participated. The most prominent themes/subthemes were as follows: (1) fasting exemption (e.g., uncontrolled medical conditions), (2) fasting nonexemption (e.g., controlled medical conditions), (3) nonoral medication use during Ramadan, (4) healthcare provider involvement during Ramadan, and (5) factors impacting health management during Ramadan.
CONCLUSION: Muslim patients perceive fasting as an important religious practice, so they tend to self-modify their medication-taking behaviours. Educating pharmacists and other healthcare providers about Muslim culture, especially their strong desire to fast, may lead to Muslims better managing their medications and viewing pharmacists and other healthcare providers as knowledgeable healthcare providers.
RESEARCH DESIGN AND METHOD: We reviewed a number of published articles from 2002 to 2016 to find out the appropriate management of diabetes mellitus. The paramount parameters of the selected studies include the insulin type & its dose, type of diabetes, duration and comparison of different insulin protocols. In addition, various newly developed approaches for insulin delivery with potential output have also been evaluated.
RESULTS: A great variability was observed in managing diabetes mellitus through insulin therapy and the important controlling factors found for this therapy include; dose titration, duration of insulin use, type of insulin used and combination therapy of different insulin.
CONCLUSION: A range of research articles on current trends and recent advances in insulin has been summarized, which led us to the conclusion that multiple daily insulin injections or continuous subcutaneous insulin infusion (insulin pump) is the best method to manage diabetes mellitus. In future perspectives, development of the oral and inhalant insulin would be a tremendous breakthrough in Insulin therapy.
RECENT FINDINGS: Over the years, immunological therapy has become the center of attraction to treat T1D. Immunomodulatory approaches on non-antigens involving agents such as cyclosporine A, mycophenolate mofetil, anti-CD20, cytotoxic T cells, anti-TNF, anti-CD3, and anti-thymocyte globulin as well as immunomodulative approaches on antigens such as insulin, glutamic acid decarboxylase, and heat shock protein 60 have been studied. Aside from these two approaches, studies and trials have also been conducted on regulatory T cells, dendritic cells, interleukin 2, interleukin 4, M2 macrophages, and rapamycin/interleukin 2 combination therapy to test their effects on patients with T1D. Many of these agents have successfully suppressed T1D in non-obese diabetic (NOD) mice and in human trials. However, some have shown negative results. To date, the insights into the management of the immune system have been increasing rapidly to search for potential therapies and treatments for T1D. Nevertheless, some of the challenges are still inevitable. A lot of work and effort need to be put into the investigation on T1D through immunological therapy, particularly to reduce complications to improve and enhance clinical outcomes.
DESIGN: A population-based cross-sectional study.
SETTING: 13 states and 3 Federal Territories in Malaysia.
PARTICIPANTS: A total of 3966 adults aged 60 years and above were extracted from the nationwide National Health and Morbidity Survey (NHMS) 2018 data set.
PRIMARY OUTCOME MEASURES: Multimorbidity was defined as co-occurrence of at least two known chronic non-communicable diseases in the same individual. The chronic diseases included hypertension, type 2 diabetes mellitus, dyslipidaemia and cancer.
RESULTS: The prevalence of multimorbidity among Malaysian older adults was 40.6% (95% CI: 37.9 to 43.3). The factors associated with multimorbidity were those aged 70-79 years (adjusted OR (AOR)=1.30; 95% CI=1.04 to 1.63; p=0.019), of Indian (AOR=1.69; 95% CI=1.14 to 2.52; p=0.010) and Bumiputera Sarawak ethnicities (AOR=1.81; 95% CI=1.14 to 2.89; p=0.013), unemployed (AOR=1.53; 95% CI=1.20 to 1.95; p=0.001), with functional limitation from activities of daily livings (AOR=1.66; 95% CI=1.17 to 2.37; p=0.005), physically inactive (AOR=1.28; 95% CI=1.03 to 1.60; p=0.026), being overweight (AOR=1.62; 95% CI=1.11 to 2.36; p=0.014), obese (AOR=1.88; 95% CI=1.27 to 2.77; p=0.002) and with abdominal obesity (AOR=1.52; 95% CI=1.11 to 2.07; p=0.009).
CONCLUSION: This study highlighted that multimorbidity was prevalent among older adults in the community. Thus, there is a need for future studies to evaluate preventive strategies to prevent or delay multimorbidity among older adults in order to promote healthy and productive ageing.
METHODS: A systematic review was conducted according to the PRISMA guidelines. The study protocol was registered with PROSPERO (CRD42017056150). We searched MEDLINE, EMBASE, PsycINFO, CINAHL and ERIC for articles published up to January 2017. Articles that measured HL levels in adult patients with T2DM; that used validated HL tools; and that were reported in English were included. Two reviewers assessed studies for eligibility and quality, and extracted the data. Prevalence of limited HL is calculated from the number of patients with less than adequate HL over the total number of patients with T2DM in the study. Meta-analysis and meta-regression analysis were conducted using the Open Meta-analyst software.
RESULTS: Twenty-nine studies involving 13,457 patients with T2DM from seven countries were included. In total, seven different HL measurement tools were used. The prevalence of limited HL ranged from 7.3% to 82%, lowest in Switzerland and the highest in Taiwan. Meta-regression analysis of all included studies showed the country of study (p<0.001), HL tool used (p = 0.002), and the country's region (p<0.001) contributed to the variation findings. Thirteen studies in the USA measured functional HL. The pooled prevalence of inadequate functional HL among patients with T2DM in the USA was 28.9% (95% CI: 20.4-37.3), with high heterogeneity (I2 = 97.9%, p <0.001). Studies were done in the community as opposed to a hospital or primary care (p = 0.005) and populations with education level lower than high school education (p = 0.009) reported a higher prevalence of limited HL.
CONCLUSION: The prevalence of limited HL in patients with T2DM varied widely between countries, HL tools used and the country's region. Pooled prevalence showed nearly one in three patients with T2DM in the USA had limited functional HL. Interactions with healthcare providers and educational attainment were associated with reported of prevalence in the USA.
METHOD: For designing and modeling the DSPN severity grading systems for MNSI, 19 years of data from Epidemiology of Diabetes Interventions and Complications (EDIC) clinical trials were used. Different Machine learning-based feature ranking techniques were investigated to identify the important MNSI features associated with DSPN diagnosis. A multivariable logistic regression-based nomogram was generated and validated for DSPN severity grading using the best performing top-ranked MNSI features.
RESULTS: Top-10 ranked features from MNSI features: Appearance of Feet (R), Ankle Reflexes (R), Vibration perception (L), Vibration perception (R), Appearance of Feet (L), 10-gm filament (L), Ankle Reflexes (L), 10-gm filament (R), Bed Cover Touch, and Ulceration (R) were identified as important features for identifying DSPN by Multi-Tree Extreme Gradient Boost model. The nomogram-based prediction model exhibited an accuracy of 97.95% and 98.84% for the EDIC test set and an independent test set, respectively. A DSPN severity score technique was generated for MNSI from the DSPN severity prediction model. DSPN patients were stratified into four severity levels: absent, mild, moderate, and severe using the cut-off values of 17.6, 19.1, 20.5 for the DSPN probability less than 50%, 75%-90%, and above 90%, respectively.
CONCLUSIONS: The findings of this work provide a machine learning-based MNSI severity grading system which has the potential to be used as a secondary decision support system by health professionals in clinical applications and large clinical trials to identify high-risk DSPN patients.
METHODS: Data collected from Saudi Arabia and 12 other mostly Muslim majority countries, via physician administered questionnaire within post Ramadan 2020.
RESULTS: 1485 Type1 diabetes (T1DM) patients analyzed; 705 (47.5%) from Saudi Arabia vs. 780 (52.5%) from other countries. 1056 (71.1%) fasted Ramadan; 636 (90.2%) of Saudi patients vs. 420 (53.8%) of other countries. Experiencing Ramadan during the COVID-19 pandemic did not affect the Saudi T1DM patients' decision to fast while it significantly influenced their decision in other countries (1.4 vs 9.9%, P
METHODS: We conducted an exploratory qualitative study and purposefully selected people with T2D who drove and fasted during the past Ramadan period in 2019. In-depth face-to-face interviews were conducted and transcribed verbatim. Data were analysed thematically using a constant comparative method until saturation was achieved (n = 16).
RESULTS: Two major themes were identified, namely: (1) knowing oneself and (2) voluntary self-restriction. Participants described the importance of understanding how Ramadan fasting affected them and their level of alertness. As such, participants often adjusted their daily activities and tested their blood glucose levels to prevent experiencing hypoglycaemia. Other coping strategies reported include adjusting their medications and driving restrictions or driving in the mornings when they were more alert. Findings from this study shed light on participants' experiences and coping mechanisms while driving during Ramadan.
CONCLUSION: Given the risks and effects of hypoglycaemia among those who fast, there is a need to provide appropriate and focused patient education during Ramadan to people with T2D to ensure they can perform complex activities such as driving safely, especially in Muslim majority countries.