The prediction model will cover pregnant women who are deemed to be at a high risk for GDM at less than 14 gestational weeks. Women with pre-existing chronic conditions, such as pregestational diabetes, or who are already taking medications that have a negative impact on glucose levels, will be disqualified. Using a computerized randomization approach, allocation will be made in a 1:1 ratio to intervention and control groups. Before the oral glucose tolerance test, the intervention group will fill out 3-day food diaries and receive 3 individualized nutritional counselling from registered dietitian.
The intervention’s main goals are to encourage long-term healthy eating habits and prevent excessive gestational weight gain during pregnancy. At specific gestational weeks, the control group will fill out 3-day food diaries and get routine prenatal care in accordance with local regulations.
Oral glucose tolerance testing is the term used to describe the test for gestational diabetes (OGTT). The patient must observe a 10-hour fast (generally overnight, missing breakfast). Blood is drawn first, then a 75g glucose drink is consumed, and then blood is drawn again one and two hours later. The patient must stay for the entire 2-hour test at the lab (McLean et al., 2019).
The study by McLean et al (2019) was picked as the publication that was most pertinent. A complex health systems intervention being carried out by the DIP will focus on a number of crucial areas, including communication, information technology systems, coordination of care, and education for health professionals (Diabetes In Pregnancy).
A wide variety of healthcare providers took part; 96 percent of them had experience working with Indigenous women, and 63 percent of them worked in distant or regional settings. Despite the fact that there was significant variance in screening techniques and who should be checked before 24 weeks, 61 percent of respondents reported early DIP screening. Only 50% of healthcare professionals felt competent discussing insulin use, compared to 88% who felt good discussing food, blood glucose monitoring, and lifestyle recommendations. 80 percent of patients used electronic medical records, but 55 percent also used paper ones. 40% of patients expressed dissatisfaction with the information provided by hospitals. Focus groups revealed areas for improvement in communication and IT systems.
The study found that a team of professionals with years of clinical and academic experience controlling NPS in gestational diabetes patients developed the MOC model. It was discovered that the techniques developed using this methodology had a solid evidence base. The method’s evidence-based nature may make it useful for clinicians working in a variety of situations. The study by McLean et al. (2019) comes to a close with a discussion of the approach’s potential to improve clinical procedures and guarantee the treatment of agitated behavior in patients with gestational diabetes.
Alejandro, E. U., Memento, T. P., Chung, G., Villagize, A., Gauss, N. L., Morgan, E., & Pineda-Cortel, M. R. B. (2020). Gestational diabetes mellitus: a harbinger of the vicious cycle of diabetes. International journal of molecular sciences, 21(14), 5003. https://doi.org/10.3390/ijms21145003
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