Related Experiment Video
Updated: Jul 9, 2025
A High-Throughput Multiplexed Screening for Type 1 Diabetes, Celiac Diseases, and COVID-19
Published on: July 5, 2022
Using Clinical Vignettes to Understand the Complexity of Diagnosing Type 1 Diabetes in Sub-Saharan Africa
Enora Le Bec1, Madibele Kam2, Sigiriya Aebischer Perone3,4
1Internal Medicine, Etablissements Hospitaliers du Nord Vaudois, Yverdon, Switzerland.
Insights
Diagnosing type 1 diabetes (T1DM) in children in sub-Saharan Africa is complex due to limited resources and misdiagnosis with infectious diseases. Improving awareness and diagnostic tools is crucial for better outcomes.
Area of Science:
- Pediatric Endocrinology
- Global Health
- Medical Education
Background:
- Type 1 diabetes (T1DM) in children in sub-Saharan Africa (SSA) is associated with high morbidity and mortality due to limited awareness, insulin access, and diabetes care.
- Despite improvements in some areas, many children still present with diabetic ketoacidosis (DKA), often misdiagnosed amidst prevalent communicable diseases in SSA.
- Healthcare systems in SSA face challenges including resource limitations and a high burden of infectious diseases, complicating the diagnosis of non-communicable diseases like T1DM.
Purpose of the Study:
- To highlight the diagnostic complexities of pediatric T1DM in SSA's resource-limited, infectious disease-dominated healthcare settings.
- To analyze the challenges clinicians face when diagnosing DKA without clear diabetes indicators and with limited diagnostic tools.
- To evaluate the utility of clinical vignettes in understanding diagnostic obstacles for T1DM and other conditions in resource-limited environments.
Main Methods:
- A non-systematic literature search on T1DM and DKA in SSA was performed to construct clinical vignettes.
- Clinical vignettes were developed to simulate a clinician's hypothetico-deductive reasoning process when faced with DKA.
- The study examined the Integrated Management of Childhood Illness (IMCI) digital algorithm's effectiveness in diagnosing DKA.
Main Results:
- Key diagnostic obstacles include the low specificity of DKA symptoms and the scarcity of blood or urine glucose testing tools.
- Misdiagnosis is common, particularly when symptoms overlap with infectious diseases prevalent in SSA.
- The IMCI algorithm's efficiency in diagnosing DKA was assessed, revealing limitations.
Conclusions:
- Enhancing community and healthcare system awareness of T1DM symptoms is vital.
- Increased availability of diagnostic tests, such as glucose monitoring, is essential for accurate and timely diagnosis.
- Clinical vignettes serve as a valuable tool for analyzing diagnostic barriers and can be applied to other pathologies in resource-limited settings for education, research, and advocacy.
Abstract:
Lack of awareness, access to insulin and diabetes care can result in high levels of morbidity and mortality for children with type 1 diabetes (T1DM) in sub-Saharan Africa (SSA). Improvements in access to insulin and diabetes management have improved outcomes in some settings. However, many people still present in diabetic ketoacidosis (DKA) in parallel to misdiagnosis of children with T1DM in contexts with high rates of communicable diseases. The aim of this study was to highlight the complexity of diagnosing pediatric T1DM in a healthcare environment dominated by infectious diseases and lack of adequate health system resources. This was done by developing clinical vignettes and recreating the hypothetico-deductive process of a clinician confronted with DKA in the absence of identification of pathognomonic elements of diabetes and with limited diagnostic tools. A non-systematic literature search for T1DM and DKA in SSA was conducted and used to construct clinical vignettes for children presenting in DKA. A broad differential diagnosis of the main conditions present in SSA was made, then used to construct a clinician's medical reasoning, and anticipate the results of different actions on the diagnostic process. An examination of the use of the digital based Integrated Management of Childhood Illness diagnostic algorithm was done, and an analysis of the software's efficiency in adequately diagnosing DKA was assessed. The main obstacles to diagnosis were low specificity of non-pathognomonic DKA symptoms and lack of tools to measure blood or urine glucose. Avenues for improvement include awareness of T1DM symptomatology in communities and health systems, and greater availability of diagnostic tests. Through this work clinical vignettes are shown to be a useful tool in analyzing the obstacles to underdiagnosis of diabetes, a technique that could be used for other pathologies in limited settings, for clinical teaching, research, and advocacy.
More Related Videos
Related Concept Videos
01:22Diabetes Mellitus: Overview and Type I Subtype
Type 1 diabetes is an autoimmune disease in which the immune system mistakenly attacks and destroys the insulin-producing beta cells in the pancreas. As a result, the body is unable to produce sufficient insulin, and individuals with...
01:15Diabetes: Symptoms, Diagnosis, and Complications
01:22Diabetes Mellitus: Type 2 and Gestational
01:20Pathophysiology of Diabetes
Type 1 diabetes is characterized by autoimmune-mediated destruction of pancreatic β cells, with environmental factors potentially triggering this process in genetically susceptible individuals. Despite many not having a family history, certain genes increase susceptibility,...
01:15Diabetes: Management and Pharmacotherapy
Insulin remains the cornerstone of treatment for most patients with type 1 and many...
01:36Carbohydrate Metabolism
Starch accounts for approximately 60% of the carbohydrates consumed by humans. Since amylase enzymes cannot function in the stomach's acidic environment, starch can only be digested in the mouth and small intestine. Simple sugars are found naturally in milk and fruits in...