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Factors associated with delayed diagnosis of migraine: A hospital-based cross-sectional study
CONTEXT: Migraine is common debilitating disorders, affecting 10 to 20% of the world's population. However, proper diagnosis is delayed due to many factors. AIMS: To determine various factors associated with delayed diagnosis of migraine. SETTINGS AND DESIGN: Hospital-based cross-sectional stud...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6618198/ https://www.ncbi.nlm.nih.gov/pubmed/31334157 http://dx.doi.org/10.4103/jfmpc.jfmpc_376_19 |
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author | Rai, Nirendra Kumar Bitswa, Ritwa Singh, Ruchi Pakhre, Abhijit P. Parauha, Daya Shankar |
author_facet | Rai, Nirendra Kumar Bitswa, Ritwa Singh, Ruchi Pakhre, Abhijit P. Parauha, Daya Shankar |
author_sort | Rai, Nirendra Kumar |
collection | PubMed |
description | CONTEXT: Migraine is common debilitating disorders, affecting 10 to 20% of the world's population. However, proper diagnosis is delayed due to many factors. AIMS: To determine various factors associated with delayed diagnosis of migraine. SETTINGS AND DESIGN: Hospital-based cross-sectional study. MATERIALS AND METHODS: Patients attending Neurology OPD of AIIMS Bhopal and satisfying diagnostic criteria of the International Headache Society (ICHD-3β) for migraine were selected for study. MIDAS, MINI, and ROME-III were used. First diagnosis was considered as “Appropriate” if patients were previously diagnosed as “migraine” or getting treatment for it; otherwise labeled as “Inappropriate.” STATISTICAL ANALYSIS: Associations were tested by Chi-square, t-test, or Mann-Whitney test. Logistic regression analysis was used for identifying independent factors associated with inappropriate diagnosis. RESULTS: Hundred patients (female = 77) of migraine were included. Mean age (SD) was 32.42 (10.74). Diagnosis was “inappropriate” in 65 patients. Number of inappropriate diagnosis/appropriate diagnosis was 10/40 (25%) by neurologists; 35/39 (89.3%) by physicians; 18/18 (100%) by ophthalmologists. Factors associated with “Inappropriate Diagnosis” were “Neurologist vs Other Doctors” {10 (25%) vs 55 (91.7%), P < 0.001}; throbbing vs other types of headache {51 (60.7%) vs 14 (87%), P = 0.047}; and temporal vs other sites {9 (42.9%) vs 56 (70.9%), P = 0.017}. Patients with “Inappropriate Diagnosis” had to expend more money {7000 (4,500; 12,500) vs 4000 (1000, 6000), P < 0.01; median (interquartile range) all in INR}. Other clinical parameters including vertigo, cervical pain, anxiety, depression, and functional gastrointestinal symptoms were not associated with delayed diagnosis. CONCLUSION: Delayed diagnosis and misdiagnosis is very frequent in migraine, leading to financial burden to patients. Management of common disorders like migraine should be addressed in undergraduate medical teaching curriculum. |
format | Online Article Text |
id | pubmed-6618198 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
spelling | pubmed-66181982019-07-22 Factors associated with delayed diagnosis of migraine: A hospital-based cross-sectional study Rai, Nirendra Kumar Bitswa, Ritwa Singh, Ruchi Pakhre, Abhijit P. Parauha, Daya Shankar J Family Med Prim Care Original Article CONTEXT: Migraine is common debilitating disorders, affecting 10 to 20% of the world's population. However, proper diagnosis is delayed due to many factors. AIMS: To determine various factors associated with delayed diagnosis of migraine. SETTINGS AND DESIGN: Hospital-based cross-sectional study. MATERIALS AND METHODS: Patients attending Neurology OPD of AIIMS Bhopal and satisfying diagnostic criteria of the International Headache Society (ICHD-3β) for migraine were selected for study. MIDAS, MINI, and ROME-III were used. First diagnosis was considered as “Appropriate” if patients were previously diagnosed as “migraine” or getting treatment for it; otherwise labeled as “Inappropriate.” STATISTICAL ANALYSIS: Associations were tested by Chi-square, t-test, or Mann-Whitney test. Logistic regression analysis was used for identifying independent factors associated with inappropriate diagnosis. RESULTS: Hundred patients (female = 77) of migraine were included. Mean age (SD) was 32.42 (10.74). Diagnosis was “inappropriate” in 65 patients. Number of inappropriate diagnosis/appropriate diagnosis was 10/40 (25%) by neurologists; 35/39 (89.3%) by physicians; 18/18 (100%) by ophthalmologists. Factors associated with “Inappropriate Diagnosis” were “Neurologist vs Other Doctors” {10 (25%) vs 55 (91.7%), P < 0.001}; throbbing vs other types of headache {51 (60.7%) vs 14 (87%), P = 0.047}; and temporal vs other sites {9 (42.9%) vs 56 (70.9%), P = 0.017}. Patients with “Inappropriate Diagnosis” had to expend more money {7000 (4,500; 12,500) vs 4000 (1000, 6000), P < 0.01; median (interquartile range) all in INR}. Other clinical parameters including vertigo, cervical pain, anxiety, depression, and functional gastrointestinal symptoms were not associated with delayed diagnosis. CONCLUSION: Delayed diagnosis and misdiagnosis is very frequent in migraine, leading to financial burden to patients. Management of common disorders like migraine should be addressed in undergraduate medical teaching curriculum. Wolters Kluwer - Medknow 2019-06 /pmc/articles/PMC6618198/ /pubmed/31334157 http://dx.doi.org/10.4103/jfmpc.jfmpc_376_19 Text en Copyright: © 2019 Journal of Family Medicine and Primary Care http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Original Article Rai, Nirendra Kumar Bitswa, Ritwa Singh, Ruchi Pakhre, Abhijit P. Parauha, Daya Shankar Factors associated with delayed diagnosis of migraine: A hospital-based cross-sectional study |
title | Factors associated with delayed diagnosis of migraine: A hospital-based cross-sectional study |
title_full | Factors associated with delayed diagnosis of migraine: A hospital-based cross-sectional study |
title_fullStr | Factors associated with delayed diagnosis of migraine: A hospital-based cross-sectional study |
title_full_unstemmed | Factors associated with delayed diagnosis of migraine: A hospital-based cross-sectional study |
title_short | Factors associated with delayed diagnosis of migraine: A hospital-based cross-sectional study |
title_sort | factors associated with delayed diagnosis of migraine: a hospital-based cross-sectional study |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6618198/ https://www.ncbi.nlm.nih.gov/pubmed/31334157 http://dx.doi.org/10.4103/jfmpc.jfmpc_376_19 |
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