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Development and validation of a web-based headache diagnosis questionnaire
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 migr...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9052186/ https://www.ncbi.nlm.nih.gov/pubmed/35488015 http://dx.doi.org/10.1038/s41598-022-11008-y |
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author | Kim, Kyung Min Kim, A Ra Lee, Wonwoo Jang, Bo Hyun Heo, Kyoung Chu, Min Kyung |
author_facet | Kim, Kyung Min Kim, A Ra Lee, Wonwoo Jang, Bo Hyun Heo, Kyoung Chu, Min Kyung |
author_sort | Kim, Kyung Min |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9052186 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-90521862022-04-29 Development and validation of a web-based headache diagnosis questionnaire Kim, Kyung Min Kim, A Ra Lee, Wonwoo Jang, Bo Hyun Heo, Kyoung Chu, Min Kyung Sci Rep Article 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. Nature Publishing Group UK 2022-04-29 /pmc/articles/PMC9052186/ /pubmed/35488015 http://dx.doi.org/10.1038/s41598-022-11008-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Kim, Kyung Min Kim, A Ra Lee, Wonwoo Jang, Bo Hyun Heo, Kyoung Chu, Min Kyung Development and validation of a web-based headache diagnosis questionnaire |
title | Development and validation of a web-based headache diagnosis questionnaire |
title_full | Development and validation of a web-based headache diagnosis questionnaire |
title_fullStr | Development and validation of a web-based headache diagnosis questionnaire |
title_full_unstemmed | Development and validation of a web-based headache diagnosis questionnaire |
title_short | Development and validation of a web-based headache diagnosis questionnaire |
title_sort | development and validation of a web-based headache diagnosis questionnaire |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9052186/ https://www.ncbi.nlm.nih.gov/pubmed/35488015 http://dx.doi.org/10.1038/s41598-022-11008-y |
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