Identifying and Prioritizing Educational Content from a Malpractice Claims Database for Clinical Reasoning Education in the Vocational Training of General Practitioners

Autor/inn/en	van Sassen, Charlotte G. M.; van den Berg, Pieter J.; Mamede, Silvia; Knol, Lilian; Eikens-Jansen, Manon P.; van den Broek, Walter W.; Bindels, Patrick J. E.; Zwaan, Laura
Titel	Identifying and Prioritizing Educational Content from a Malpractice Claims Database for Clinical Reasoning Education in the Vocational Training of General Practitioners
Quelle	In: Advances in Health Sciences Education, 28 (2023) 3, S.893-910 (18 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (van Sassen, Charlotte G. M.) ORCID (Mamede, Silvia) ORCID (Eikens-Jansen, Manon P.) ORCID (van den Broek, Walter W.) ORCID (Zwaan, Laura)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1382-4996
DOI	10.1007/s10459-022-10194-8
Schlagwörter	Vocational Education; Educational Malpractice; Grievance Procedures; Medical Education; Clinical Diagnosis; Error Patterns; Diseases; Legal Responsibility; Insurance; Court Litigation; Patients; Safety + Suchen Sie Ihr Suchwort? Ausbildung; Berufsbildung; Bildungsmisere; Medizinische Ausbildung; Fehlertyp; Disease; Krankheit; Strafmündigkeit; Rechtsstreit; Patient; Sicherheit
Abstract	Diagnostic reasoning is an important topic in General Practitioners' (GPs) vocational training. Interestingly, research has paid little attention to the content of the cases used in clinical reasoning education. Malpractice claims of diagnostic errors represent cases that impact patients and that reflect potential knowledge gaps and contextual factors. With this study, we aimed to identify and prioritize educational content from a malpractice claims database in order to improve clinical reasoning education in GP training. With input from various experts in clinical reasoning and diagnostic error, we defined five priority criteria that reflect educational relevance. Fifty unique medical conditions from a malpractice claims database were scored on those priority criteria by stakeholders in clinical reasoning education in 2021. Subsequently, we calculated the mean total priority score for each condition. Mean total priority score (min 5-max 25) for all fifty diagnoses was 17,11 with a range from 13,89 to 19,61. We identified and described the fifteen highest scoring diseases (with priority scores ranging from 18,17 to 19,61). The prioritized conditions involved complex common (e.g., cardiovascular diseases, renal insufficiency and cancer), complex rare (e.g., endocarditis, ectopic pregnancy, testicular torsion) and more straightforward common conditions (e.g., tendon rupture/injury, eye infection). The claim cases often demonstrated atypical presentations or complex contextual factors. Including those malpractice cases in GP vocational training could enrich the illness scripts of diseases that are at high risk of errors, which may reduce diagnostic error and related patient harm. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01