Development and Implementation of Ramadan Fasting Algorithm for Singaporeans With Type 2 Diabetes

Background: Ramadan fasting is a religious observance carried out by Muslims all over the world. During Ramadan, Muslims abstain from eating, drinking, and smoking during daylight hours. Although Muslims who are ill, including patients with diabetes, are exempted from fasting, many devoted Muslim patients still insist on fasting despite being advised not to by their healthcare providers. Concerns have been raised over how the practice of fasting may affect the metabolic control of Muslim patients with diabetes. Furthermore, it has also been postulated that the act of fasting may increase the risk of hypoglycemia or glucose toxicity. Although practice algorithms and suggestions on the use of glycemic therapies during fasting have been discussed internationally. they are not generalizable as the observances of Ramadan, duration of fasting and the food ingested differ from one country to another. Aims: This study aims to develop and implement a clinical practice dose-adjustment algorithm dedicated to the care of Singaporean patients with diabetes who fast during Ramadan. Hypothesis: The use of clinical practice dose-adjustment algorithm can improve both clinical and humanistic outcomes of patients with type 2 diabetes who wish to fast during Ramadan. Methods: This is a prospective, randomized, interventional study involving patients with type 2 diabetes who wish to fast for at least 10 days during Ramadan. Eligible patient attending a primary care institution or an outpatient specialist clinic of a tertiary institution will be approached to participate in the study. Consented patients will be randomized to either intervention arm or control arm. Patients in the control arm will receive usual care while patients in the intervention arm will be given additional education session on Ramadan fasting related diabetic management advice and an algorithm that was developed by the study team members based on international guidelines, to guide them on self-management during R