1. Development and validation of the ID-EC - the ITALIAN version of the identify chronic migraine
- Author
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Maria Pia Prudenzano, Gianluca Coppola, Grazia Sances, Roberto De Icco, Simona Sacco, Paolo Martelletti, Valentina Taranta, Pietro Cortelli, Francesca Pistoia, Giulia Pierangeli, Antonio Russo, Cristina Tassorelli, Luigi Alberto Pini, Francesco Pierelli, Sabina Cevoli, Cristiano Maria De Marco, Maria Trojano, Silvia Benemei, Cherubino Di Lorenzo, Gioacchino Tedeschi, Francesco De Cesaris, Pierangelo Geppetti, Alessia Manni, Raffaele Ornello, Andrea Negro, Lanfranco Pellesi, Sacco, S., Benemei, S., Cevoli, S., Coppola, G., Cortelli, P., De Cesaris, F., De Icco, R., De Marco, C. M., Di Lorenzo, C., Geppetti, P., Manni, A., Negro, A., Ornello, R., Pierangeli, G., Pierelli, F., Pellesi, L., Pini, L. A., Pistoia, F., Prudenzano, M. P., Russo, A., Sances, G., Taranta, V., Tassorelli, C., Tedeschi, G., Trojano, M., Martelletti, P., Sacco, Simona, Benemei, Silvia, Cevoli, Sabina, Coppola, Gianluca, Cortelli, Pietro, De Cesaris, Francesco, De Icco, Roberto, De Marco, Cristiano Maria, Di Lorenzo, Cherubino, Geppetti, Pierangelo, Manni, Alessia, Negro, Andrea, Ornello, Raffaele, Pierangeli, Giulia, Pierelli, Francesco, Pellesi, Lanfranco, Pini, Luigi Alberto, Pistoia, Francesca, Prudenzano, Maria Pia, Russo, Antonio, Sances, Grazia, Taranta, Valentina, Tassorelli, Cristina, Tedeschi, Gioacchino, Trojano, Maria, and Martelletti, Paolo
- Subjects
Male ,lcsh:Medicine ,0302 clinical medicine ,Chronic Migraine ,Migraine Disorder ,Surveys and Questionnaires ,Diagnosis ,Mass Screening ,Surveys and Questionnaire ,030212 general & internal medicine ,Program Development ,Medical diagnosis ,education.field_of_study ,General Medicine ,Health Survey ,Middle Aged ,Test (assessment) ,Italy ,chronic migraine ,diagnosis ,migraine ,neurology ,anesthesiology and pain medicine ,Female ,Research Article ,Diagnosi ,Human ,Adult ,medicine.medical_specialty ,Migraine Disorders ,Population ,Sensitivity and Specificity ,Young Adult ,03 medical and health sciences ,medicine ,Humans ,education ,Migraine ,Mass screening ,Chronic migraine ,business.industry ,lcsh:R ,Translating ,medicine.disease ,Health Surveys ,Neurology (clinical) ,Anesthesiology and Pain Medicine ,Clinical diagnosis ,Chronic Disease ,Physical therapy ,International Classification of Headache Disorders ,business ,030217 neurology & neurosurgery - Abstract
Background Case-finding tools, such as the Identify Chronic Migraine (ID-CM) questionnaire, can improve detection of CM and alleviate its significant societal burden. We aimed to develop and validate the Italian version of the ID-CM (ID-EC) in paper and as a smart app version in a headache clinic-based setting. Methods The study investigators translated and adapted to the Italian language the original ID-CM questionnaire (ID-EC) and further implemented it as a smart app. The ID-EC was tested in its paper and electronic version in consecutive patients referring to 9 Italian tertiary headache centers for their first in-person visit. The scoring algorithm of the ID-EC paper version was applied by the study investigators (case-finding) and by patients (self-diagnosis), while the smart app provided to patients automatically the diagnosis. Diagnostic accuracy of the ID-EC was assessed by matching the questionnaire results with the interview-based diagnoses performed by the headache specialists during the visit according to the criteria of International Classification of Headache Disorders, III edition, beta version. Results We enrolled 531 patients in the test of the paper version of ID-EC and 427 in the validation study of the smart app. According to the clinical diagnosis 209 patients had CM in the paper version study and 202 had CM in the smart app study. 79.5% of patients returned valid paper questionnaires, while 100% of patients returned valid and complete smart app questionnaires. The paper questionnaire had a 81.5% sensitivity and a 81.1% specificity for case-finding and a 30.7% sensitivity and 90.7% specificity for self-diagnosis, while the smart app had a 64.9% sensitivity and 90.2% specificity. Conclusions Our data suggest that the ID-EC, developed and validated in tertiary headache centers, is a valid case-finding tool for CM, with sensitivity and specificity values above 80% in paper form, while the ID-EC smart app is more useful to exclude CM diagnosis in case of a negative result. Further studies are warranted to assess the diagnostic accuracy of the ID-EC in general practice and population-based settings.
- Published
- 2019