Development and Initial Validation of a Scale to Measure ... - SciELO
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Development and Initial Validation of a Scale to Measure ... - SciELO
article is the methodological quality (MQ), and the process is complex because ... most commonly used quality assessment tool for DAS, was developed to deal ...
Int. J. Morphol., 36(2):743-749, 2018.
Development and Initial Validation of a Scale to Measure Methodological Quality in Diagnostic Accuracy Studies. The MInCir Proposal Desarrollo y Validación Inicial de una Escala para Medir la Calidad Metodológica en Estudios de Precisión Diagnóstica. La Propuesta de MInCir.
Carlos Manterola1,2; Ricardo Cartes-Velásquez3; María Eugenia Burgos1,2; Antonio Sanhueza4; Tamara Otzen1,5 & MInCir Group (Methodology for Research in Surgery)
MANTEROLA, C.; CARTES-VELÁSQUEZ, R.; BURGOS, M. E.; SANHUEZA, A.; OTZEN, T. & MINCIR GROUP (METHODOLOGY FOR RESEARCH IN SURGERY). Development and initial validation of a scale to measure methodological quality in diagnostic accuracy studies. The MInCir proposal. Int. J. Morphol., 36(2):743-749, 2018. SUMMARY: Research in diagnostic accuracy studies (DAS) is a rapidly developing area in medicine, but there are only three instruments used in this scenario. The aim of this study was to design and validate a scale to determine methodological quality (MQ) of DAS. Scale validation study. A systematic literature review about the MQ of diagnostic accuracy studies was accomplished, and an expert panel generated a first draft (content validity) of the scale. An alphanumeric order was given and rated by six researchers (second draft) and a pilot study to optimise its use and understanding was performed (third draft). Two independent researchers applied the final scale (9 items/3 domains) to 110 articles from 13 journals with high, medium and low impact factors. Criterion validity was determined by contrasting MQ scores with the Oxford Centre for Evidence-Based Medicine levels of evidence. The construct validity of the extreme groups and high and low IF were estimated. The intraclass correlation coefficient was used to determine inter-observer reliability, and the cut-off point was calculated using a ROC curve. The best cut-off point was 24 points, with an under curve area of 93.4 %. The content validity rating was 80–100 % for all included items. Criterion and construct validity were statistically significant with p
