Abstract

Aim. To identify and systematize the types, factors, and consequences of medical errors in diagnosing types of diabetes mellitus (DM) and to create a registry for them.Materials and Methods. A search, collection, evaluation, and synthesis of scientific data regarding the prevalence of diagnostic errors, their significance, types, causes (including general and diabetes-specific factors), and prevention methods were conducted using Google Scholar, Scopus, Web of Science, PubMed Medline, and Embase databases, as well as publications from open sources. The analysis included guidelines from leading medical societies and expert groups. Based on the systematization of literature data and the authors' clinical observations, a «Registry of Types, Factors, and Consequences of Medical Errors in the Diagnosis of Diabetes Mellitus Types» was created for the first time.Results. General factors contributing to errors in the diagnosis of diabetes mellitus (DM) include limited access to quality healthcare, a shortage of specialists in diabetology, low levels of teamwork, lack of availability of diagnostic tests for determining DM types, ineffective communication, unsatisfactory care coordination, and follow-up, as well as cognitive biases. Diabetes-specific factors include the heterogeneity of DM, atypical disease progression, comorbidities, environmental factors, and technical errors in DM diagnosis. The most typical diagnostic discrepancies involve the misidentification of type 1, type 2, and other specific types of DM. Implementing the created «Registry of Types, Factors, and Consequences of Medical Errors in the Diagnosis of Diabetes Mellitus Types» in endocrinology departments has significantly reduced the number of diagnostic discrepancies for DM types. Additionally, incorporating this registry into the educational process at higher education institutions has improved the competence of students and medical professionals on this issue.Conclusions. The «Registry of Types, Factors, and Consequences of Medical Errors in the Diagnosis of Diabetes Mellitus Types», created based on a synthesis of literature data and the results of clinical observations, contributes to improving the quality and accuracy of diagnosis, enhances the professional level of healthcare workers, and reduces the number of incorrect diagnoses and treatment prescriptions.

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