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Development and validation of a web-based headache diagnosis questionnaire

Authors
 Kyung Min Kim  ;  A Ra Kim  ;  Wonwoo Lee  ;  Bo Hyun Jang  ;  Kyoung Heo  ;  Min Kyung Chu 
Citation
 SCIENTIFIC REPORTS, Vol.12(1) : 7032, 2022-04 
Journal Title
SCIENTIFIC REPORTS
Issue Date
2022-04
MeSH
Adult ; Headache / diagnosis ; Humans ; Internet ; Migraine Disorders* / diagnosis ; Surveys and Questionnaires ; Tension-Type Headache* / diagnosis
Abstract
Information technology advances may help in conducting epidemiological studies using web-based surveys. Questionnaire-based headache diagnosis should be validated against the doctor's diagnosis. This study aimed to develop and validate a web-based diagnostic questionnaire for migraine, probable migraine (PM), and tension-type headache (TTH). We constructed a seven-item questionnaire for diagnosing migraine, PM, and TTH. A web-based survey was conducted among adults aged 20-59 years; migraine, PM, and TTH were diagnosed based on the responses. Validation interview was performed via telephone by a neurologist within 1 month after the web-based interview. Finally, 256 participants completed both web-based survey and validation interview. Of them, 121 (47.3%), 65 (25.4%), 61 (23.8%), and 9 (3.5%) were diagnosed with migraine, PM, TTH, and unclassified headache (UH), respectively in the web-based survey, whereas 119 (46.5%), 60 (23.4%), 74 (28.9%), 2 (0.8%), and 1 (0.4%) were diagnosed with migraine, PM, TTH, UH, and primary stabbing headache, respectively in the validation interview. The best agreement was found in migraine (sensitivity: 92.6%; specificity: 94.8%; kappa coefficient: 0.875), followed by TTH (sensitivity: 78.4%; specificity: 98.4%; kappa coefficient: 0.809). PM showed the least agreement (sensitivity: 85.0%; specificity: 92.9%; kappa coefficient: 0.757). In conclusion, our questionnaire is valid in identifying these headache disorders.
Files in This Item:
T202201532.pdf Download
DOI
10.1038/s41598-022-11008-y
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Neurology (신경과학교실) > 1. Journal Papers
Yonsei Authors
Kim, Kyung Min(김경민) ORCID logo https://orcid.org/0000-0002-0261-1687
Lee, Wonwoo(이원우) ORCID logo https://orcid.org/0000-0002-0907-4212
Chu, Min Kyung(주민경) ORCID logo https://orcid.org/0000-0001-6221-1346
Heo, Kyoung(허경)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/188845
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