Development of an index of complexity for outpatient endocrinology and nutrition clinics

INTRODUCTIONThe tools for analyzing the case-mix in outpatient clinics are scarce few and unsatisfactory. The objective of this study conducted by Sociedad Castellano Manchega de Endocrinología, Nutrición y Diabetes (SCAMEND) was to develop a tool that allows for analyzing the case-mix in outpatient...

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Veröffentlicht in:Endocrinología, diabetes y nutrición. diabetes y nutrición., 2020-10, Vol.67 (8), p.500-508
Hauptverfasser: Alfaro Martínez, José-Joaquín, Peña-Cortés, Virginia-María, Gómez-García, Inés-Rosa, Moreno-Fernandez, Jesús, Platero-Rodrigo, Eduardo, Martínez-García, Ana, Calderón-Vicente, Dulce-María, Sanz-Velasco, Alberto, Barrera-Martín, Ana, Miralles-Moragrega, Raquel, Palma-Moya, Mercedes, Gonzalvo-Díaz, César
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Sprache:eng ; spa
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Zusammenfassung:INTRODUCTIONThe tools for analyzing the case-mix in outpatient clinics are scarce few and unsatisfactory. The objective of this study conducted by Sociedad Castellano Manchega de Endocrinología, Nutrición y Diabetes (SCAMEND) was to develop a tool that allows for analyzing the case-mix in outpatient endocrinology and nutrition clinics, considering bearing in mind the complexity of the conditions seen. MATERIAL AND METHODSUsing the Delphi method, the SCAMEND index of complexity in outpatient endocrinology and nutrition clinics (ISCCE-EyN) was developed by endocrinologists in two rounds, comparing the complexity of each condition being compared with that of a review visit of primary hypothyroidism. RESULTSThe first visits were considered more complex than the subsequent visits. Non-neoplastic thyroid disease and uncomplicated overweight/obesity were considered as the least complex diseases, while metabolic diseases, multiple endocrine neoplasia syndromes, and adrenal carcinoma were considered as the most complex. The degree of agreement was high in most of the diseases analyzed. CONCLUSIONSThis tool allows for analyzing the case-mix in outpatient endocrinology and nutrition clinics, based on the inherent complexity of the disease of the patient is reported. This tool may be used for comparisons between centers, to better allocate resources within a given service, or for self-evaluation.
ISSN:2530-0180
DOI:10.1016/j.endinu.2020.01.009