Development and validation of the ID-EC - the ITALIAN version of the identify chronic migraine.
Chronic migraine
Diagnosis
Migraine
Journal
The journal of headache and pain
ISSN: 1129-2377
Titre abrégé: J Headache Pain
Pays: England
ID NLM: 100940562
Informations de publication
Date de publication:
13 Feb 2019
13 Feb 2019
Historique:
received:
30
10
2018
accepted:
24
01
2019
entrez:
15
2
2019
pubmed:
15
2
2019
medline:
14
5
2019
Statut:
epublish
Résumé
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. 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. 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. 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.
Sections du résumé
BACKGROUND
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
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
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
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.
Identifiants
pubmed: 30760199
doi: 10.1186/s10194-019-0966-3
pii: 10.1186/s10194-019-0966-3
pmc: PMC6734365
doi:
Types de publication
Journal Article
Validation Study
Langues
eng
Sous-ensembles de citation
IM
Pagination
15Subventions
Organisme : Fondazione Italiana per lo Studio delle Cefalee (FISC)
ID : NA
Références
Headache. 1998 Jul-Aug;38(7):497-506
pubmed: 15613165
Headache. 2009 Apr;49(4):498-508
pubmed: 19245386
Cephalalgia. 2015 Jun;35(7):563-78
pubmed: 25304766
Cephalalgia. 2009 Dec;29(12):1285-93
pubmed: 19438916
Cephalalgia. 2016 Mar;36(3):203-15
pubmed: 26002700
Cephalalgia. 2010 May;30(5):599-609
pubmed: 19614702
Lancet Neurol. 2004 Aug;3(8):475-83
pubmed: 15261608
Cephalalgia. 2013 Aug;33(11):885-90
pubmed: 23482725
Acad Emerg Med. 1996 Sep;3(9):895-900
pubmed: 8870764
J Headache Pain. 2012 Jul;13(5):361-78
pubmed: 22644214
Headache. 2013 Jan;53(1):81-92
pubmed: 23078241
Neurology. 2008 Aug 19;71(8):559-66
pubmed: 18711108
Cephalalgia. 2013 Jul;33(9):629-808
pubmed: 23771276
Headache. 2011 Jul-Aug;51(7):1058-77
pubmed: 21762134
Cephalalgia. 2011 Feb;31(3):301-15
pubmed: 20813784
J Occup Environ Med. 2010 Jan;52(1):8-14
pubmed: 20042889