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Arch Dermatol ; 148(2): 206-10, 2012 Feb.
Artículo en Inglés | MEDLINE | ID: mdl-22351820

RESUMEN

OBJECTIVE: To make available a simple, quantitative formula for preoperative assessment of both the complexity and the associated time required to complete Mohs surgical cases. It will improve office efficiency, technical performance, and resource management. DESIGN: Surveys were sent to 94 Mohs surgeons requesting information on 10 consecutive cases, including tumor size, recurrence, location, aggressiveness, stages required, and case duration. The data were then aggregated, scored, and statistically evaluated. SETTING: Private practice dermatology offices performing Mohs surgery were included. PARTICIPANTS: Sequential randomized selection of Mohs College and Mohs Society fellows was used for inclusion. Sequential selection of patients for data acquisition was performed by the surgeons. MAIN OUTCOME MEASURE: The statistical significance of a proposed preoperative assessment tool was to be determined. RESULTS: The score ρ values were 0.34 and 0.41 for the time and number of stages, respectively. In addition, the Mohs score obtained a statistically significant P value of <.001 for both the time and number of stages required. CONCLUSIONS: The Webb and Rivera (WAR) score is a low-effort, efficient, reproducible tool to be used in preoperative Mohs surgery planning and office efficiency improvement. The components of the score include maximum tumor dimension, recurrence, location, and aggressiveness. Each is assigned a numerical value that is totaled, resulting in a final quantitative score.


Asunto(s)
Cirugía de Mohs , Recurrencia Local de Neoplasia/cirugía , Planificación de Atención al Paciente , Neoplasias Cutáneas/patología , Neoplasias Cutáneas/cirugía , Citas y Horarios , Recolección de Datos , Dermatología/organización & administración , Humanos , Clasificación del Tumor , Recurrencia Local de Neoplasia/patología , Admisión y Programación de Personal/organización & administración , Periodo Preoperatorio , Distribución Aleatoria , Estadísticas no Paramétricas , Factores de Tiempo , Carga Tumoral
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