{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,25]],"date-time":"2026-07-25T02:31:24Z","timestamp":1784946684108,"version":"3.55.0"},"reference-count":43,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2024,5,24]],"date-time":"2024-05-24T00:00:00Z","timestamp":1716508800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/100004312","name":"Eli Lilly and Company","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100004312","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["headachejournal.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Headache"],"published-print":{"date-parts":[[2024,9]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>Utilize machine learning models to identify factors associated with seeking medical care for migraine.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Migraine is a leading cause of disability worldwide, yet many people with migraine do not seek medical care.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>The web\u2010based survey, ObserVational survey of the Epidemiology, tReatment and Care Of MigrainE (US), annually recruited demographically representative samples of the US adult population (2018\u20132020). Respondents with active migraine were identified via a validated diagnostic questionnaire and\/or a self\u2010reported medical diagnosis of migraine, and were then asked if they had consulted a healthcare professional for their headaches in the previous 12\u2009months (i.e., \u201cseeking care\u201d). This included in\u2010person\/telephone\/or e\u2010visit at Primary Care, Specialty Care, or Emergency\/Urgent Care locations. Supervised machine learning (Random Forest) and Least Absolute Shrinkage and Selection Operator (LASSO) algorithms identified 13\/54 sociodemographic and clinical factors most associated with seeking medical care for migraine. Random Forest models complex relationships (including interactions) between predictor variables and a response. LASSO is also an efficient feature selection algorithm. Linear models were used to determine the multivariable association of those factors with seeking care.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Among 61,826 persons with migraine, the mean age was 41.7\u2009years (\u00b114.8) and 31,529\/61,826 (51.0%) sought medical care for migraine in the previous 12\u2009months. Of those seeking care for migraine, 23,106\/31,529 (73.3%) were female, 21,320\/31,529 (67.6%) were White, and 28,030\/31,529 (88.9%) had health insurance. Severe interictal burden (assessed via the Migraine Interictal Burden Scale\u20104, MIBS\u20104) occurred in 52.8% (16,657\/31,529) of those seeking care and in 23.1% (6991\/30,297) of those not seeking care; similar patterns were observed for severe migraine\u2010related disability (assessed via the Migraine Disability Assessment Scale, MIDAS) (36.7% [11,561\/31,529] vs. 14.6% [4434\/30,297]) and severe ictal cutaneous allodynia (assessed via the Allodynia Symptom Checklist, ASC\u201012) (21.0% [6614\/31,529] vs. 7.4% [2230\/30,297]). Severe interictal burden (vs. none, OR 2.64, 95% CI [2.5, 2.8]); severe migraine\u2010related disability (vs. little\/none, OR 2.2, 95% CI [2.0, 2.3]); and severe ictal allodynia (vs. none, OR 1.7, 95% CI [1.6, 1.8]) were strongly associated with seeking care for migraine.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Seeking medical care for migraine is associated with higher interictal burden, disability, and allodynia. These findings could support interventions to promote care\u2010seeking among people with migraine, encourage assessment of these factors during consultation, and prioritize these domains in selecting treatments and measuring their benefits.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/head.14729","type":"journal-article","created":{"date-parts":[[2024,5,24]],"date-time":"2024-05-24T06:44:59Z","timestamp":1716533099000},"page":"1027-1039","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Machine learning identifies factors most associated with seeking medical care for migraine: Results of the\n                    <scp>OVERCOME<\/scp>\n                    (\n                    <scp>US<\/scp>\n                    ) study"],"prefix":"10.1111","volume":"64","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3973-6640","authenticated-orcid":false,"given":"Sait","family":"Ashina","sequence":"first","affiliation":[{"name":"Department of Neurology, Harvard Medical School Beth Israel Deaconess Medical Center  Boston Massachusetts USA"},{"name":"Department of Anesthesia, Harvard Medical School Beth Israel Deaconess Medical Center  Boston Massachusetts USA"},{"name":"Department of Clinical Medicine, Faculty of Health Sciences University of Copenhagen  Copenhagen Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-7929-3704","authenticated-orcid":false,"given":"E. 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