Using Clinical Vignettes to Understand the Complexity of Diagnosing Type 1 Diabetes in Sub-Saharan Africa.

Details

Serval ID
serval:BIB_89CEA45E65D2
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Using Clinical Vignettes to Understand the Complexity of Diagnosing Type 1 Diabetes in Sub-Saharan Africa.
Journal
Research and reports in tropical medicine
Author(s)
Le Bec E., Kam M., Aebischer Perone S., Boulle P., Cikomola J.C., Gandur M.E., Gehri M., Kehlenbrink S., Beran D.
ISSN
1179-7282 (Electronic)
ISSN-L
1179-7282
Publication state
Published
Issued date
2023
Peer-reviewed
Oui
Volume
14
Pages
111-120
Language
english
Notes
Publication types: Journal Article ; Review
Publication Status: epublish
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.
Keywords
clinical vignette, sub-Saharan Africa, type 1 diabetes, underdiagnosis
Pubmed
Web of science
Open Access
Yes
Create date
01/12/2023 13:07
Last modification date
19/12/2023 8:14
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