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PLOS One logoLink to PLOS One
. 2024 Dec 19;19(12):e0315610. doi: 10.1371/journal.pone.0315610

Clinical practice for migraine treatment and characteristics of medical facilities and physicians treating migraine: Insights from a retrospective cohort study using a Japanese claims database

Tsubasa Takizawa 1,, Takahiro Kitano 2,*,#, Kanae Togo 2,#, Reiko Yoshikawa 3,, Masahiro Iijima 3,
Editor: Sercan Ergün4
PMCID: PMC11658538  PMID: 39700106

Abstract

The real-world treatment patterns at medical facilities and their physicians’ specialties treating migraine have not been fully investigated in Japan. Therefore, a retrospective cohort study aimed to describe real-world clinical practice and treatment patterns in Japanese patients with migraine according to medical facilities and physicians’ specialties. Anonymized claims data of patients with migraine was obtained from JMDC Inc (January 2018-June 2023). Patient characteristics and treatment pattern according to medical facilities and physicians’ specialties treating migraine were evaluated. Of 231,156 patients with migraine (mean age [SD], 38.8 [11.8] years; females, 65.3%), 81.8% had the first prescription at clinics (CPs), 42.5% underwent imaging tests, 44.4% visited general internal medicine, and 25.9% consulted neurosurgery at initial diagnosis. Imaging tests were carried out at CPs with specialists (59.4%), hospitals (HPs) with specialists (59.1%), HPs (32.9%), and CPs (26.9%) without specialists. Overall, 95.6% received acute treatment while 21.8% received preventive treatment. At facilities with specialists compared to without specialists, triptans were more frequently prescribed (67.9% vs 44.9%) whereas acetaminophen and nonsteroidal anti-inflammatory drugs were less frequently prescribed (52.4% vs 69.2%). Preventive treatment use was higher at facilities with specialists (27.4%) than without specialists (15.7%) and increased annually regardless of the type of medical institution. In Japan, only half of patients with migraine visited facilities with specialists at their first diagnosis, and specialists are more likely use migraine-specific and preventive drugs than nonspecialists. Therefore, there is a need for awareness among migraine patients that they should consult specialists and for enhancement of medical collaboration between specialists and nonspecialists.

Introduction

Migraine is a high-ranking contributor to the global burden of neurological disorders [1]. It is characterized by a relapsing-remitting pattern of headache of variable frequencies and more common in women than men [2, 3]. There are two major types of migraine: migraine with aura and migraine without aura. The diagnosis is based on the International Classification of Headache Disorders 3rd edition according to the patient’s symptoms and characteristics [4]. Globally, migraine prevalence has been estimated to be 14–15%, and to account for 4.9% of population ill health in terms of years lived with disability [5].

The prevalence of migraine was 8.4% in Japan [6]. A substantial health and economic burden of migraine was observed in terms of decreased quality of life, impaired daily living activity, decreased work productivity/disability, and unmet needs of acute and preventive treatments of migraine in Japan [712].

The current acute treatments for migraine in Japan include over-the-counter (OTC; nonprescription) drugs such as combination nonsteroidal anti-inflammatory drugs (NSAIDs; acetaminophen, aspirin, and caffeine), prescription drugs such as acetaminophen, NSAIDs, triptans, antiemetics, and ergotamine [13], and lasmiditan, a selective serotonin 1F receptor agonist approved in January 2022 [14]. Preventive treatment is used for patients whose symptoms are not well managed by acute treatment to reduce the clinical, humanistic, and economic burden of the disease [15, 16]. Preventive treatment of migraine includes use of prescription drugs such as calcium channel blockers, beta-blockers, antidepressants, and antiepileptics [17]. In addition, anti-calcitonin gene-related peptide (anti-CGRP) monoclonal antibodies (mAbs) (erenumab, galcanezumab, and fremanezumab) were approved as preventive treatments in Japan in 2021 [1821]. While acute treatment remains the primary treatment option for migraine, the proportion of prophylactic prescriptions has been rising in recent years (2018–2022), as demonstrated in our previous retrospective cohort study on migraine treatment [22].

For the management of migraine, it is crucial to understand the role of types of medical facilities and physician specialties in migraine treatment prescriptions in Japan [10, 15]. Patients seek migraine care from primary care/internist physicians and various specialists, including neurosurgeons, general neurologists, headache specialists, and pain specialists [10, 15]. In Japan, as per the guideline for optimal use, anti-CGRP mAbs can only be prescribed at facilities that have at least one physician in charge who fulfills certain criteria including being certificated by specific academic societies [2325]. Although the use of preventive treatment is increasing, about three out of four patients do not use preventive treatment: this may depend on the types of medical institute the patient visited in addition to the severity of migraine. Hence, it is important to understand treatment patterns of migraine in relation to characteristics of medical institutions and physicians’ specialties. However, there are limited data about the characteristics of medical facilities and physicians providing migraine care, the clinical characteristics of migraine patients, and treatment patterns in relation to characteristics of medical institutions and physicians’ specialties in Japan [22, 26].

In our previous study, some features related to the roles of hospitals and clinics in migraine treatment practice were described [22]. However, the relationship between physicians’ specialties and the medical environment for migraine, such as the size of medical institutions and the status of imaging tests, has not been fully investigated. In addition, the pattern of migraine treatment in relation to physicians’ specialties has not been examined. Insights about these issues would be useful to understand in more detail where the unmet medical needs of migraine patients lie. Hence, we conducted analysis of the retrospective claims database of Japanese patients with migraine from January 2018 to June 2023 to describe real-world clinical practice and treatment patterns according to the types of medical facilities and physicians’ specialties.

Methods

Study design and data source

This was a retrospective database analysis of anonymized claims data of patients from the JMDC Inc. The JMDC is a large claims database, which contains all claims data across multiple health insurance providers for company employees and their dependents [27]. It includes information sourced from inpatients, outpatients, and pharmacy claims. Within the database, individuals can be followed across multiple medical facilities and, unless they opt out of their health insurance, can be tracked even if they transfer hospitals or use multiple facilities. As of April 2024, the database had information on approximately 17 million people [28]. The database includes diagnosed disease names, coded according to Japanese Claims Codes and the International Classification of Diseases (ICD) 10th revision coding scheme, and details of prescriptions. Japan has a universal healthcare system in which the National Health Insurance covers people ≥ 75 years old and membership of the original health insurance society is terminated as soon as individuals reach the age of 75 years; therefore, this database does not cover claims of patients who are ≥ 75 years old.

Patient selection and study period

The study period was from January 1, 2018, to June 30, 2023, and the date for data access and analysis specification finalization was November 8, 2023. Patients were included in the study if they were aged ≥ 18 years at the index date, had a diagnosis of migraine (ICD10: G43, excluding those with a suspicious diagnosis), and had a prescription for any migraine treatment during the study period. Patients were excluded from the study if they had < 6 months of baseline period or a diagnosis of cluster headache (ICD10: G44, excluding those with a suspicious diagnosis). The index date was the day of the first prescription for migraine treatment.

Measurements

Study variables were as follows: patient characteristics (age at index date, sex, follow-up period, and comorbidities during baseline period); characteristics of medical facilities where the index diagnosis was made (departments, and number of beds, facilities with/without specialists according to the optimal clinical usage of guidelines for anti-CGRP mAbs) [2325]; and status of imaging tests (computed tomography [CT] and/or magnetic resonance imaging [MRI]) performed in the 3 months before and after the initial diagnosis of migraine to exclude secondary headache/other diseases causing headache.

Medical institutions were classified as HPs (hospitals having ≥ 20-bed capacity), or CPs (clinics having ≤ 19-bed capacity) based on the Medical Care Act [29]. The medical facilities with specialists were so defined when specialists with board-certification of any of the following societies belong to the facilities: the Japanese Society of Neurology, the Japan Neurosurgical Society, the Japanese Society of Internal Medicine (specialist in general internal medicine), and the Japanese Headache Society. For the first three of these societies, the definition was based on publicly available information provided by Japan Ministry of Health, Labour and Welfare as of April 2022 [30]; for the Japanese Headache Society, the list of facilities with certified headache specialists as of May 2023 was used.

Treatment patterns included treatments prescribed (acute/preventive treatments, and treatment prescriptions from first to fourth prescriptions of migraine treatment). The drugs prescribed for acute treatment included acetaminophen or NSAIDs, triptans, ergotamine, and lasmiditan; preventive treatment included anti-CGRP mAbs, antiepileptics, antidepressants, beta-blockers, and calcium channel blockers, which are approved for treating migraine in Japan.

Statistical analysis

Descriptive statistics were used for the data analyses. Patient characteristics and treatment pattern were summarized using frequencies (n) and proportion (%). Subgroup analyses were performed according to the size of medical facilities (HP/CP), status of specialists according to the optimal clinical usage guidelines for anti-CGRP mAbs and the combination of these (HP with specialists, CP with specialists, HP without specialists, CP without specialists).

Data for treatment prescriptions were analyzed for the study period and on a yearly basis for two populations: patients with migraine included in the study, and patients who started their migraine treatment within the year of interest. Data are reported as mean and standard deviation (SD) for continuous variables, and frequency (n) and proportion (%) for categorical variables. Statistical analyses were performed using the SAS 9.4 (SAS Institute, Cary, NC, USA).

Ethical consideration

This study was approved by the ethics committee of MINS (Registration No. MINS-REC-230211) as a written consent. This study was based on anonymized data: following the privacy laws and obtaining informed consent from patients was not required. The study also followed the principles outlined in the Declaration of Helsinki.

Results

Patient flow

Of the 15,742,853 individuals enrolled in JMDC, 2,182,587 were diagnosed with either headache or migraine during the study period. As per inclusion criteria, a total of 231,156 patients with migraine were included (Fig 1).

Fig 1. Patient flow and creation of cohort.

Fig 1

Patient characteristics

The mean age (SD) of patients (N = 231,156) was 38.8 (11.8) years, with 65.3% females (150,861/231,156). The mean follow-up period (SD) was 26.9 (18.6) months. A total of 34.4% of patients (79,619/231,156) had underlying comorbidities during the baseline period, in which any cardiovascular-related disease (14.1%, 32,677/231,156), and neurotic, stress-related, and somatoform disorders (13.9%, 32,041/231,156) were common comorbidities (Table 1).

Table 1. Patient demographics and clinical characteristics.

Characteristics Total HP/CP Medical facilities with/without specialist HP/CP and with/without specialist
HP CP With specialist Without specialist HP with specialist HP without specialist CP with specialist CP without specialist
N = 231,156 N = 42,102 (18.2) N = 189,124 (81.8) N = 112,332 (48.6) N = 118,897 (51.4) N = 34,964 (15.1) N = 7,140 (3.1) N = 77,402 (33.5) N = 111,758 (48.3)
Age at the index date (years)
 Mean 38.8 38.8 38.8 38.4 39.2 38.8 38.5 38.2 39.2
 SD 11.8 12.0 11.8 11.6 12.0 12.0 11.8 11.5 12.0
Sex
 Male 80,295 (34.7) 14,017 (33.3) 66,300 (35.1) 39,862 (35.5) 40,454 (34.0) 11,998 (34.3) 2,019 (28.3) 27,877 (36.0) 38,434 (34.4)
 Female 150,861 (65.3) 28,085 (66.7) 122,824 (64.9) 72,470 (64.5) 78,443 (66.0) 22,966 (65.7) 5,121 (71.7) 49,525 (64.0) 73,324 (65.6)
Follow-up period (months)
 Mean 26.9 27.2 26.8 27.2 26.6 27.2 27.2 27.3 26.5
 SD 18.6 18.5 18.6 18.6 18.7 18.6 18.2 18.6 18.7
Comorbidities during baseline period
 Yes 79,619 (34.4) 15,120 (35.9) 64,532 (34.1) 37,092 (33.0) 42,558 (35.8) 12,541 (35.9) 2,579 (36.1) 24,565 (31.7) 39,980 (35.8)
 Mood (affective) disorders 24,124 (10.4) 4,257 (10.1) 19,874 (10.5) 9,711 (8.6) 14,423 (12.1) 3,221 (9.2) 1,036 (14.5) 6,495 (8.4) 13,387 (12.0)
 Neurotic, stress-related, and somatoform disorders 32,041 (13.9) 5,594 (13.3) 26,466 (14.0) 14,046 (12.5) 18,010 (15.1) 4,505 (12.9) 1,089 (15.3) 9,552 (12.3) 16,921 (15.1)
 Epilepsy 4,676 (2.0) 1,412 (3.4) 3,265 (1.7) 2,719 (2.4) 1,957 (1.6) 1,173 (3.4) 239 (3.3) 1,547 (2.0) 1,718 (1.5)
 Cerebrovascular disease 8,909 (3.9) 2,130 (5.1) 6,785 (3.6) 5,320 (4.7) 3,592 (3.0) 1,942 (5.6) 188 (2.6) 3,380 (4.4) 3,405 (3.0)
 Hypertension 22,649 (9.8) 4,551 (10.8) 18,104 (9.6) 10,354 (9.2) 12,303 (10.3) 3,816 (10.9) 735 (10.3) 6,540 (8.4) 11,568 (10.4)
 Ischemic heart diseases 3,779 (1.6) 929 (2.2) 2,850 (1.5) 1,876 (1.7) 1,905 (1.6) 822 (2.4) 107 (1.5) 1,054 (1.4) 1,798 (1.6)
 Peripheral vascular disease 4,482 (1.9) 890 (2.1) 3,593 (1.9) 2,080 (1.9) 2,404 (2.0) 761 (2.2) 129 (1.8) 1,319 (1.7) 2,275 (2.0)
 Any cardiovascular-related comorbidities listed above 32,677 (14.1) 6,661 (15.8) 26,028 (13.8) 15,847 (14.1) 16,843 (14.2) 5,705 (16.3) 956 (13.4) 10,145 (13.1) 15,888 (14.2)
 Malignant neoplasm of brain 76 (0.0) 39 (0.1) 37 (0.0) 57 (0.1) 19 (0.0) 38 (0.1) 1 (0.0) 19 (0.0) 18 (0.0)
 Malignant neoplasms (except for brain) 4,442 (1.9) 1,360 (3.2) 3,085 (1.6) 2,368 (2.1) 2,075 (1.7) 1,203 (3.4) 157 (2.2) 1,167 (1.5) 1,918 (1.7)
 Meningitis 236 (0.1) 132 (0.3) 105 (0.1) 162 (0.1) 74 (0.1) 119 (0.3) 13 (0.2) 44 (0.1) 61 (0.1)
 Disorders of thyroid gland 10,462 (4.5) 2,186 (5.2) 8,279 (4.4) 5,021 (4.5) 5,446 (4.6) 1,866 (5.3) 320 (4.5) 3,155 (4.1) 5,127 (4.6)
 Diabetes mellitus 12,389 (5.4) 2,538 (6.0) 9,853 (5.2) 5,570 (5.0) 6,821 (5.7) 2,130 (6.1) 408 (5.7) 3,440 (4.4) 6,413 (5.7)

Data are presented as n/N (%) unless otherwise specified.

Abbreviations: CP, clinics having ≤ 19-bed capacity; HP, hospitals having ≥ 20-bed capacity; SD, standard deviation.

The majority of patients (81.8%, 189,124/231,156) received their first prescriptions of migraine treatment at CPs, and at mean age (SD) 38.8 (11.8) years, while fewer patients (18.2%, 42,102/231,156), at mean age (SD) 38.8 (12.0) years consulted HPs for their index prescriptions. Only about half of patients (48.6%, 112,332/231,156) consulted facilities with specialists while 51.4% (118,897/231,156) consulted facilities without specialists for first medical care of migraine. Similar comorbidities were observed in these subgroups by HP, CP, and facilities with or without specialists. Amongst all comorbidities, mood disorders and neurotic, stress-related, and somatoform disorders were more common among patients in the subgroup of facilities without specialists (Table 1).

Characteristics of medical facilities

Overall, 82.2% (189,958/231,156) had their first migraine diagnosis at a CP while 18.6% (42,949/231,156) received their diagnosis at an HP (Table 2).

Table 2. Characteristics of medical facility and imaging tests in migraine cohort at first diagnosis of migraine.

Characteristics of medical facilities at the first diagnosis of migraine Total HP/CP Medical facilities with/without specialists HP/CP and with/without specialists
HP CP With specialist Without specialist HP with specialist HP without specialist CP with specialist CP without specialist
N = 231,156 N = 42,949 (18.6) N = 189,958 (82.2) N = 113,529 (49.1) N = 119,653 (51.8) N = 35,809 (15.5) N = 7,211 (3.1) N = 78,561 (34.0) N = 112,514 (48.7)
Number of beds in facility
 0–19 189,958 (82.2) 0 (0.0) 189,958 (100.0) 78,561 (69.2) 112,514 (94.0) 0 (0.0) 0 (0.0) 78,561 (100.0) 112,514 (100.0)
 20–99 9,295 (4.0) 9,295 (21.6) 0 (0.0) 5,515 (4.9) 3,783 (3.2) 5,515 (15.4) 3,783 (52.5) 0 (0.0) 0 (0.0)
 100–199 9,683 (4.2) 9,683 (22.5) 0 (0.0) 7,930 (7.0) 1,762 (1.5) 7,930 (22.1) 1,762 (24.4) 0 (0.0) 0 (0.0)
 200–299 5,017 (2.2) 5,017 (11.7) 0 (0.0) 4,265 (3.8) 752 (0.6) 4,265 (11.9) 752 (10.4) 0 (0.0) 0 (0.0)
 300–499 10,602 (4.6) 10,602 (24.7) 0 (0.0) 9,939 (8.8) 666 (0.6) 9,939 (27.8) 666 (9.2) 0 (0.0) 0 (0.0)
 500+ 8,588 (3.7) 8,588 (20.0) 0 (0.0) 8,339 (7.3) 249 (0.2) 8,339 (23.3) 249 (3.5) 0 (0.0) 0 (0.0)
 Unknown 4 (0.0) 0 (0.0) 0 (0.0) 0 (0.0) 4 (0.0) 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0)
Department of medical facilitya
 General internal medicine 102,731 (44.4) 10,931 (25.5) 92,035 (48.5) 41,259 (36.3) 61,789 (51.6) 9,452 (26.4) 1,486 (20.6) 31,911 (40.6) 60,313 (53.6)
 Neurosurgery 59,843 (25.9) 8,670 (20.2) 51,297 (27.0) 45,680 (40.2) 14,233 (11.9) 8,271 (23.1) 400 (5.5) 37,496 (47.7) 13,835 (12.3)
 Neurology 12,002 (5.2) 4,346 (10.1) 7,679 (4.0) 10,410 (9.2) 1,602 (1.3) 4,242 (11.8) 105 (1.5) 6,182 (7.9) 1,497 (1.3)
 Obstetrics and Gynecology 11,621 (5.0) 2,201 (5.1) 9,423 (5.0) 2,176 (1.9) 9,447 (7.9) 1,987 (5.5) 214 (3.0) 190 (0.2) 9,233 (8.2)
 Otorhinolaryngology 5,482 (2.4) 802 (1.9) 4,681 (2.5) 878 (0.8) 4,605 (3.8) 754 (2.1) 48 (0.7) 124 (0.2) 4,557 (4.1)
 Psychiatry 4,938 (2.1) 911 (2.1) 4,228 (2.2) 682 (0.6) 4,457 (3.7) 565 (1.6) 346 (4.8) 117 (0.1) 4,111 (3.7)
 Surgery 4,181 (1.8) 1,135 (2.6) 3,047 (1.6) 1,407 (1.2) 2,775 (2.3) 928 (2.6) 208 (2.9) 480 (0.6) 2,567 (2.3)
 Pediatrics 4,074 (1.8) 248 (0.6) 3,826 (2.0) 658 (0.6) 3,416 (2.9) 195 (0.5) 53 (0.7) 463 (0.6) 3,363 (3.0)
 Psychosomatic medicine 3,473 (1.5) 88 (0.2) 3,385 (1.8) 199 (0.2) 3,274 (2.7) 66 (0.2) 22 (0.3) 133 (0.2) 3,252 (2.9)
 Emergency 913 (0.4) 886 (2.1) 27 (0.0) 851 (0.7) 62 (0.1) 846 (2.4) 40 (0.6) 5 (0.0) 22 (0.0)
 Unknown 10,078 (4.4) 10,074 (23.5) 0 (0.0) 6,056 (5.3) 4,025 (3.4) 6,056 (16.9) 4,021 (55.8) 0 (0.0) 0 (0.0)
Imaging tests (CT and/or MRI) at the first diagnosis of migraine 98,127 (42.5) 23,487 (54.7) 76,078 (40.0) 67,122 (59.1) 32,558 (27.2) 21,162 (59.1) 2,375 (32.9) 46,679 (59.4) 30,234 (26.9)

Data are presented as n/N (%) unless otherwise specified.

aDepartments with ≥2% are shown.

Subgroups were defined based on the initial diagnosis of migraine for the patients included in the migraine cohort. It is possible that the same patient may visit multiple facilities in the same month, and the total of the subgroups may not match the patient number of migraine cohort.

Abbreviations: CP, clinic having ≤ 19-bed capacity; CT, computerized tomography; HP, hospital having ≥ 20-bed capacity; MRI, magnetic resonance imaging.

Among the 49.1% (113,529/231,156) of patients who had their first diagnosis at facilities with specialists, 69.2% (78,561/113,529) were diagnosed at CPs. Of the 51.8% (119,653/231,156) of patients who had their first diagnosis at facilities without specialists, the majority (94.0%, 112,514/119,653) were diagnosed at CPs (Table 2).

Furthermore, 15.5% (35,809/231,156) and 3.1% (7,211/231,156) of patients had their first diagnosis at HPs with specialists and HPs without specialists, respectively, while 34.0% (78,561/231,156) and 48.7% (112,514/231,156) of patients had their first diagnosis at CPs with specialists and CPs without specialists, respectively (Table 2).

Department of medical facilities

Of the 231,156 patients with migraine, the majority of the total (44.4%, 102,731) and the majority who consulted HPs (25.5%, 10,931/42,942) and CPs (48.5%, 92,035/189,958) visited the general internal medicine department. Of these 231,156, patients also consulted neurosurgery (25.9%, 59,843), neurology (5.2%, 12,002), and obstetrics and gynecology (5.0%, 11,621) departments for the first diagnosis of migraine (Table 2).

Among 119,653 patients who consulted medical facilities without specialists, 51.6% (61,789) visited general internal medicine, 11.9% (14,233) visited neurosurgery, and 7.9% (9,447) visited obstetrics and gynecology departments for the first diagnosis of migraine. Further, among 113,529 patients who consulted medical facilities with specialists, 40.2% (45,680) patients visited neurosurgery, 36.3% (41,259) visited general internal medicine, and 9.2% (10, 410) visited neurology departments (Table 2).

Among 78,561 patients who consulted CP with specialists, neurosurgery (47.7%, 37,496), followed by general internal medicine (40.6%, 31,911), and neurology (7.9%, 6,182) were the most visited departments. In contrast, 112,514 patients who consulted CPs without specialists, general internal medicine (53.6%, 60,313), followed by neurosurgery (12.3%, 13,835), and obstetrics and gynecology (8.2%, 9,233) were the most visited departments (Table 2).

Among 35,809 patients who consulted HPs with specialists, general internal medicine (26.4%, 9,452), neurosurgery (23.1%, 8,271), and neurology (11.8%, 4,242) were the most frequently visited departments. Of the 7,211 patients who consulted HPs without specialists, general internal medicine (20.6%, 1,486), neurosurgery (5.5%, 400), and psychiatry (4.8%, 346) were the most frequently visited departments (Table 2).

Imaging tests

Out of 231,156 patients, 42.5% (98,127) of patients underwent imaging tests (CT scans and/or MRI) before and after the initial diagnosis of migraine. The majority of patients underwent imaging tests at HPs (54.7%, 23,487) compared to CPs (40.0%, 76,078). A higher proportion of patients underwent imaging tests at CPs with specialists (59.4%, 46,679) and HPs with specialists (59.1%, 21,162) compared to patients who visited HPs without specialists (32.9%, 2,375) and CPs without specialists (26.9%, 30,234) (Table 2).

Treatment pattern

Of the 231,156 patients, 95.6% (220,922) received acute treatment while 21.8% (50,353) received preventive treatment. Overall, 78.2% (180,803/231,156) received acute treatment alone, 21.8% (50,353/231,156) received either preventive treatment alone (4.4%, 10,234/231,156) or received both acute and preventive treatments (17.4%, 40,119/231,156) (Table 3).

Table 3. Treatment pattern for migraine (2018–2023).

Treatment Total (2018–2023) HP/CP Medical facilities with/without specialists HP/CP and with/without specialists
HP CP With specialist Without specialist HP with specialist HP without specialist CP with specialist CP without specialist
N = 231,156 N = 46,000 (19.9) N = 192,930 (83.5) N = 118,111 (51.1) N = 125,385 (54.2) N = 38,523 (16.7) N = 7,825 (3.4) N = 83,044 (35.9) N = 118,191 (51.1)
Acute treatment 220,922 (95.6) 44,233 (96.2) 183,876 (95.3) 112,555 (95.3) 119,807 (95.6) 36,963 (96.0) 7,588 (97.0) 78,771 (94.9) 112,802 (95.4)
 Triptan 128,895 (55.8) 24,525 (53.3) 108,858 (56.4) 80,160 (67.9) 56,295 (44.9) 21,877 (56.8) 2,818 (36.0) 60,430 (72.8) 53,775 (45.5)
 Ergotamine 6,300 (2.7) 528 (1.1) 5,807 (3.0) 2,016 (1.7) 4,365 (3.5) 357 (0.9) 172 (2.2) 1,663 (2.0) 4,198 (3.6)
 Acetaminophen and NSAIDs 144,967 (62.7) 31,924 (69.4) 115,654 (59.9) 61,860 (52.4) 86,707 (69.2) 25,955 (67.4) 6,114 (78.1) 36,824 (44.3) 80,849 (68.4)
 Lasmiditan 3,773 (1.6) 673 (1.5) 3,117 (1.6) 2,022 (1.7) 1,785 (1.4) 627 (1.6) 49 (0.6) 1,399 (1.7) 1,736 (1.5)
Preventive treatment 50,353 (21.8) 8,863 (19.3) 42,600 (22.1) 32,305 (27.4) 19,721 (15.7) 7,999 (20.8) 904 (11.6) 24,856 (29.9) 18,872 (16.0)
 Anti-CGRP mAbs 1,597 (0.7) 531 (1.2) 1,085 (0.6) 1,227 (1.0) 391 (0.3) 504 (1.3) 27 (0.3) 732 (0.9) 364 (0.3)
 Antiepileptics 17,337 (7.5) 2,894 (6.3) 14,686 (7.6) 10,872 (9.2) 6,823 (5.4) 2,505 (6.5) 400 (5.1) 8,500 (10.2) 6,439 (5.4)
 Antidepressants 9,237 (4.0) 1,487 (3.2) 7,867 (4.1) 6,541 (5.5) 2,840 (2.3) 1,388 (3.6) 99 (1.3) 5,222 (6.3) 2,744 (2.3)
 Beta-blockers 4,768 (2.1) 979 (2.1) 3,835 (2.0) 2,705 (2.3) 2,133 (1.7) 860 (2.2) 120 (1.5) 1,867 (2.2) 2,016 (1.7)
 Calcium channel blockers 30,245 (13.1) 5,246 (11.4) 25,546 (13.2) 19,613 (16.6) 11,454 (9.1) 4,872 (12.6) 394 (5.0) 14,980 (18.0) 11,087 (9.4)
Acute treatment only 180,803 (78.2) 37,137 (80.7) 150,330 (77.9) 85,806 (72.6) 105,664 (84.3) 30,524 (79.2) 6,921 (88.4) 58,188 (70.1) 99,319 (84.0)
Preventive treatment only 10,234 (4.4) 1,767 (3.8) 9,054 (4.7) 5,556 (4.7) 5,578 (4.4) 1,560 (4.0) 237 (3.0) 4,273 (5.1) 5,389 (4.6)
Acute and preventive treatment 40,119 (17.4) 7,096 (15.4) 33,546 (17.4) 26,749 (22.6) 14,143 (11.3) 6,439 (16.7) 667 (8.5) 20,583 (24.8) 13,483 (11.4)

Data are presented as n/N (%) unless otherwise specified.

Subgroups were defined based on the initial diagnosis of migraine for the patients included in the migraine cohort. It is possible that the same patient may visit multiple facilities in the same month, and the total of the subgroups may not match the patient number of migraine cohort.

Abbreviations: Anti-CGRP mAbs, anti-calcitonin gene-related peptide monoclonal antibodies; CP, clinic having ≤ 19-bed capacity; HP, hospital having ≥ 20-bed capacity; NSAIDs, nonsteroidal anti-inflammatory drugs.

Overall, 220,922 patients received acute treatment: 62.7% (114,967/231,156) patients received acetaminophen and NSAIDs; 55.8% (128,895/231,156) received triptans; 2.7% (6,300/231,156) received ergotamine; and 1.6% (3,773/231,156) received lasmiditan (Table 3). Triptans were more frequently prescribed at facilities with specialists (67.9%, 80,160/118,111) compared to without specialists (44.9%, 56,295/125,385). Among specialists, more patients were prescribed triptans at CPs with specialists (72.8%, 60,430/83,044) compared to HPs with specialists (56.8%, 21,877/38,523). In contrast, acetaminophen and other NSAIDs were less frequently prescribed at facilities with specialists (52.4%, 61,860/118,111) than without specialists (69.2%, 86,707/125,385) (Table 3).

In total, 50,353 patients received preventive treatment: 13.1% (30,245/231,156) received calcium channel blockers; 7.5% (17,337/231,156) received antiepileptic drugs; 4.0% (9,237/231,156) received antidepressants; 2.1% (4,768/231,156) received beta-blockers; and 0.7% (1,597/231,156) received anti-CGRP mAbs (Table 3). A higher proportion of patients received preventive treatment at facilities with specialists (27.4%, 32,305/118,111) compared to without specialists (15.7%, 19,721/125,385). However, such a difference in the use of preventive treatment was not observed between CPs (22.1%, 42,600/192,930) and HPs (19.3%, 8,863/46,000). Moreover, preventive treatment use was higher at CPs with specialists (29.9%, 24,856/83,044), compared to HPs with specialists (20.8%, 7,999/38,523), and lowest at HPs without specialists (11.6%, 904/7,825) (Table 3). Treatment patterns according to treatment types and drug classes are presented in Fig 2.

Fig 2. Treatment pattern in total cohort and subgroups (a) type of treatmentsa, (b-d) treatment drug classb.

Fig 2

aPreventive treatment group includes patients prescribed with acute and preventive treatments. bPatients prescribed with treatments from more than one drug class and counted for multiple drug classes. Subgroups were defined based on the initial diagnosis of migraine for the patients included in the migraine cohort. It is possible that the same patient may visit multiple facilities in the same month, and the total of the subgroups may not match the patient number of migraine cohort. Abbreviations: Anti-CGRP mAbs, anti-calcitonin gene-related peptide monoclonal antibodies; CP, clinic having ≤ 19-bed capacity; HP, hospital having ≥ 20-bed capacity; NSAIDs, nonsteroidal anti-inflammatory drugs.

Treatment pattern year-wise

In patients with migraine, the use of acute treatment remained high and stable from 2018 (95.7%) to 2023 (92.2%) (Fig 3 and S1 Table).

Fig 3. Treatment pattern (2018–2023): (a) trend of acute treatment and (b) trend of preventive treatment. Number of patients: 2018–2023 (N = 231,156), 2018 (n = 39,714), 2019 (n = 51,116), 2020 (n = 56,024), 2021 (n = 71,582), 2022 (n = 74,997), 2023 (n = 49,751).

Fig 3

Abbreviations: Anti-CGRP mAbs, anti-calcitonin gene-related peptide monoclonal antibodies; NSAIDs, nonsteroidal anti-inflammatory drugs.

The use of preventive treatment increased in patients with migraine from 16.2% in 2018 to 28.4% in 2023. Furthermore, among preventive treatments, the use of calcium channel blockers remained high across these years (2018–2023). A similar trend was observed among all medical facility subgroups (S1 Table).

The use of anti-CGRP mAbs was observed since their approval in 2021 (0.5%) to 2023 (2.3%); usage was high in HPs (0.9% in 2021 to 4.2% in 2023) and HP facilities with specialists (1.0% in 2021 to 4.6% in 2023) (S1 Table).

Furthermore, treatment patterns among patients who started their migraine treatment within the year (N = 231,156) showed a similar increasing trend of preventive treatment (S2 Table).

Treatment prescription

In patients with migraine, the use of acute treatment decreased from 94.1% (217,573/231,156) at first prescription to 29.7% (737/2,478) at fourth prescription. The use of preventive treatment increased from 16.2% (37,365/231,156) at first prescription to 72.1% (1,787/2,478) at fourth prescription. The use of preventive treatment increased from first to fourth prescription among HPs (12.9% [5,432/42,102] to 72.2% [439/608]) and among CPs (16.9% [31,947/189,124] to 72.1% [1,348/1,870]). Preventive treatment use was generally higher in facilities with specialists (20.7% [23,235/112,332] to 74.8% [1,253/1,675]) than facilities without specialists (11.9% [14,146/118,897] to 66.5% [534/803]) from first to fourth prescriptions (S3 Table).

Discussion

This large database study provided four major findings. First, the majority of patients consulted CPs rather than HPs, and only about half of patients visited facilities with specialists for first medical care of migraine. Second, patients with migraine commonly visited general internal medicine departments, and of the patients who consulted CPs with specialists, most visited neurosurgery. In HPs with specialists, neurology was the most visited department. Third, in acute treatment, the use of triptan was high at medical facilities with specialists, whereas the use of acetaminophen and NSAIDs was high at facilities without specialists. Fourth, the use of preventive treatment was high at facilities with specialists, specifically in CPs with specialists, followed by HPs with specialists, although the use of preventive treatment increased year by year regardless of the type of medical institutions.

In this study, only half of migraine patients consulted facilities with specialists for the first diagnosis of migraine. These patients might have considered their symptoms as nonfatal or they could not find specialists [8, 31, 32]. These results suggest that there is the potential for underdiagnosis and/or undertreatment in Japan and a need to raise awareness in Japanese patients of the benefits of consulting a migraine specialist for better patient outcomes through early effective triptan prescription in acute treatment, and appropriate use of preventive treatment [8, 15, 31]. Imaging tests were most commonly performed at CPs with specialists followed by HPs with specialists. This suggests that specialists have a thorough understanding of the standard-of-care in the clinical practice guidelines for headache disorders and are likely to actively perform imaging diagnostics for the purpose of exclusion diagnosis in patients when necessary [16].

Patients commonly visited general internal medicine departments regardless of the type of medical facility. At facilities with specialists, patients also visited neurosurgery and neurology departments at first diagnosis. In Japan, it is known that there are few neurology practitioners compared to neurosurgeons [33, 34]. There are more than 7,500 board-certified neurosurgeons and 5,000 board-certified neurologists reported in Japan [3335], whereas the numbers of neurosurgeons vs neurologists are ~4,000 vs ~9,350 in the United States [36, 37], ~300 vs ~475 in Canada [38, 39], and ~10,715 vs ~45,000 in the European Union [40, 41], respectively. The finding of this study reflected the unique clinical practice of migraine treatment in Japan. In the United States, neurosurgeons mainly belong to university hospitals and large medical centers, and there are very few neurosurgeons who practice privately. On the other hand, in Japan, although they perform surgery for head injuries, there are some neurosurgeons who have retired from university hospitals and mainly treat general neurological diseases such as epilepsy, dementia, and headaches; it is a unique feature that they play a leading role in the treatment of migraine. Similarly, previous observational surveys in Japan reported that patients with migraine commonly consulted neurosurgeons, neurologists, and headache and pain specialists at HPs [10, 15]. Moreover, not all patients with severe migraine consulted specialists, indicating the potential for underdiagnosis and undertreatment of migraine in Japan [15].

In this study, the proportion of patients who were prescribed only acute treatment drugs was higher at facilities without specialists, regardless of whether these facilities were HPs or CPs, compared to facilities with specialists. The use of triptans was higher and that of NSAIDs lower at facilities with specialists than those without specialists. This difference between ‘with specialists’ and ‘without specialists’ was more pronounced at CPs than HPs. This might be because specialists tend to see patients with severe migraine, and are more likely to prescribe triptans, based on their understanding of the pathogenesis of migraine. In the OVERCOME (Japan) study in 9,075 individuals with migraine (July–September 2020), triptan users (~10–32%) were more likely to have consulted specialists than those using NSAIDs (~2–19%) [15].

This study also showed that the proportion of prophylactic prescriptions has been rising from 2018 to 2023. Prescription of preventive drugs was higher for specialists, especially CPs with specialists, followed by HPs with specialists. These characteristics suggest the possibility that patients with more severe migraine are seeing specialists, and that the understanding of preventive treatment is low among nonspecialists: this in turn may affect the quality of life of patients who are not prescribed preventive drugs. In addition, without access to specialists, patients may be more likely to rely on acute treatment drugs, and these patients may be at increased risk of medication-overuse headache since it has been reported that preventive medications can reduce the risk of medication-overuse headache. Therefore, there is a need to raise patients’ awareness of the importance of consulting specialists, and to strengthen medical collaboration between specialists and nonspecialists. Due to the optimal usage guidelines for anti-CGRP drugs, which recommend prescription by specialists, the number of facilities where this medication can be used may be limited. As a result, there may be differences in treatment options between facilities with specialists and those without specialists [42]. The finding that CPs with specialists filled more prescriptions for preventive drugs than HPs with specialists might be explained by the following speculations. Firstly, at CPs, headache specialists can see migraine patients regularly as the institute is most likely specializing in headache patients; however, specialists at HPs may only be available on certain days per week when the department is open. Secondly, in CPs with specialists, it is likely that specialists are seeing patients, while in HPs, even in facilities with specialists, there is a possibility that the physicians treating headaches may include nonspecialists.

The study has some limitations that are mostly intrinsic to the study design. The use of OTC drugs, frequency of migraine attacks, and actual drug usage were either not recorded or could not be ascertained from the database. In Japan, anti-CGRP mAbs should be prescribed in facilities with specialists; hence, the numbers of existing prescriptions in facilities without specialists were very small and did not affect the interpretation of the study results. We speculate that these prescription data might have been misspecified due to inaccuracy in the publicly available information about specialists, the time-lag of data for specialties, and the claims data for prescriptions. Moreover, the facilities with specialists may include nonspecialists, which could not be ascertained from the database. There may also have been a misspecification of the department that diagnosed or prescribed migraine medication, especially when multiple departments existed in a medical facility, due to the inaccuracy of the information in the claims database. This study did not present treatment patterns for migraine stratified by severity and type of migraine. Hence, further studies that incorporate the severity of migraine as reported by patients and migraine type, and that examine the association between initial prescriptions and patients’ prognoses are necessary.

Conclusion

Our study showed that only half the patients with migraine consulted specialists at their first diagnosis. Triptan and preventive treatment were more commonly used at facilities with specialists, with the highest proportion reported at CPs with specialists. This study revealed that specialists are more likely to use migraine-specific and preventive drugs than nonspecialists; therefore, there is a need of awareness among migraine patients to consult specialists, and to enhance medical collaboration between specialists and nonspecialists.

Supporting information

S1 Table. Migraine treatment pattern by year (2018–2023).

Subgroups were defined based on the initial diagnosis of migraine for the patients included in the migraine cohort. It is possible that the same patient may visit multiple facilities in the same month, and the total of the subgroups may not match the patient number of migraine cohort. Abbreviations: Anti-CGRP mAbs, anti-calcitonin gene-related peptide monoclonal antibodies; CP, clinic having ≤ 19-bed capacity; HP, hospital having ≥ 20-bed capacity; NSAIDs, nonsteroidal anti-inflammatory drugs.

(DOCX)

pone.0315610.s001.docx (309.5KB, docx)
S2 Table. Treatment for migraine for patients who initiated migraine treatment within the year.

Subgroups were defined based on the initial diagnosis of migraine for the patients included in the migraine cohort. It is possible that the same patient may visit multiple facilities in the same month, and the total of the subgroups may not match the patient number of migraine cohort. Abbreviations: Anti-CGRP mAbs, anti-calcitonin gene-related peptide monoclonal antibodies; CP, clinic having ≤ 19-bed capacity; HP, hospital having ≥ 20-bed capacity; NSAIDs, nonsteroidal anti-inflammatory drugs.

(DOCX)

pone.0315610.s002.docx (309.4KB, docx)
S3 Table. Treatment prescriptions in migraine cohort and subgroups.

If >1 class of treatment started on the same day, each class was counted. Subgroups were defined based on the initial diagnosis of migraine for the patients included in the migraine cohort. It is possible that the same patient may visit multiple facilities in the same month, and the total of the subgroups may not match the patient number of migraine cohort. Abbreviations: Anti-CGRP mAbs, anti-calcitonin gene-related peptide monoclonal antibodies; CP, clinic having ≤ 19-bed capacity; HP, hospital having ≥ 20-bed capacity; NSAIDs, non-steroidal anti-inflammatory drugs.

(DOCX)

pone.0315610.s003.docx (287.3KB, docx)

Acknowledgments

Medical writing support was provided by Niraj Vyas, PhD and Sonali Dalwadi, PhD, CMPP of MedPro Clinical Research. The authors sincerely thank Takumi Tajima and Yoshimitsu Takamatsu from JMDC Inc. for conducting the analysis.

Data Availability

Restrictions apply to the availability of the data that supports the findings of this study due to contractual agreements between JMDC and hospitals. These data are available for purchase from JMDC/JMDC Claims Database (a third-party organization who owns the datasets) and qualified researchers can get access to these datasets by contacting JMDC Claims Database (website: (JP) https://www.jmdc.co.jp/jmdc-claims-database/ (ENG) https://www.jmdc.co.jp/en/jmdc-claims-database/)”.

Funding Statement

The funder, Pfizer Japan Inc., provided support in the form of salaries for authors [TK, KT, RY, and MI]. The medical writing support and data analytics support was also funded by Pfizer Japan Inc. (Tokyo, Japan). The funders had no additional role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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Decision Letter 0

Sercan Ergün

15 Nov 2024

PONE-D-24-43022Clinical practice for migraine treatment and characteristics of medical facilities and physicians treating migraine: insights from a retrospective cohort study using a Japanese claims databasePLOS ONE

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Medical writing support was provided by Niraj Vyas, PhD and Sonali Dalwadi, PhD, CMPP™ of MedPro Clinical Research, which was funded by Pfizer Japan Inc. The authors sincerely thank Takumi Tajima and Yoshimitsu Takamatsu from JMDC Inc. for conducting the analysis, which was also funded by Pfizer Japan Inc.

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Please remove any funding-related text from the manuscript and let us know how you would like to update your Funding Statement. Currently, your Funding Statement reads as follows: 

 The funder, Pfizer Japan Inc., provided support in the form of salaries for authors [TK, KT, RY, and MI]. The medical writing support and data analytics support was also funded by Pfizer Japan Inc. (Tokyo, Japan). The funders had no additional role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The specific roles of these authors are articulated in the ‘author contributions’ section.

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Please update your Data Availability statement in the submission form accordingly.

4. Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice.

Additional Editor Comments :

The manuscript has some minor concerns to deal with.

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #2: Yes

********** 

2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

********** 

3. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: No

Reviewer #2: Yes

********** 

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PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: Yes

********** 

5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: Dear authors,

This retrospective cohort study aimed to describe real-world clinical practices and treatment patterns in Japanese patients with migraine based on medical facilities and physicians’ specialties. Given that migraine is a major contributor to the global burden of neurological disorders, understanding the relationship between physicians' specialties and the medical environment for migraine, as well as the patterns of migraine treatment across different specialties, would help clarify where the unmet medical needs of migraine patients lie.

Please find my comments for a better presentation of this study.

Comment 1:

Abstract: In the results section, please mention the F/M ratio and the mean age (SD) of patients.

Comment 2:

Introduction: This section is well-written and clearly outlines the objective of the study. However, it is better to mention the diagnostic strategy and different types of migraine.

Comment 3:

Results: The results section aligns with the study's aim; however, it would be beneficial to categorize patients based on migraine type, particularly in the characteristics section. How many patients experienced aura during their first presentation?

Comment 4:

Discussion: You mentioned that preventive treatments were more commonly used in facilities with specialists. It is important to discuss the significance of this finding and the potential side effects of relying solely on acute treatments. Without access to specialists, patients may resort to using more NSAIDs, which can lead to drug-overuse headaches and other side effects which you have mentioned but please discuss more about the importance of preventive strategy.

Reviewer #2: This study provides basic information on migraine diagnosis and treatment in Japan's healthcare system by analyzing a comprehensive claims database covering more than 230,000 patients. The authors provide a balanced perspective by highlighting the study's limitations, such as missing data on migraine attack frequency and medication use frequency. Despite these limitations, this well-structured study contributes valuable guidance to advance migraine care and treatment.

********** 

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Reviewer #1: No

Reviewer #2: Yes: Murat POLAT

**********

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Attachment

Submitted filename: Comments.docx

pone.0315610.s004.docx (14.2KB, docx)
PLoS One. 2024 Dec 19;19(12):e0315610. doi: 10.1371/journal.pone.0315610.r002

Author response to Decision Letter 0


22 Nov 2024

Response to Editor's comments:

Journal Requirements:

When submitting your revision, we need you to address these additional requirements.

1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at

https://journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf and https://journals.plos.org/plosone/s/file?id=ba62/PLOSOne_formatting_sample_title_authors_affiliations.pdf

Response:

We have checked and revised the format of the manuscript according to PLOS ONE style requirements.

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2. Thank you for stating the following in the Acknowledgments Section of your manuscript:

“Medical writing support was provided by Niraj Vyas, PhD and Sonali Dalwadi, PhD, CMPP™ of MedPro Clinical Research, which was funded by Pfizer Japan Inc. The authors sincerely thank Takumi Tajima and Yoshimitsu Takamatsu from JMDC Inc. for conducting the analysis, which was also funded by Pfizer Japan Inc.”

We note that you have provided funding information that is not currently declared in your Funding Statement. However, funding information should not appear in the Acknowledgments section or other areas of your manuscript. We will only publish funding information present in the Funding Statement section of the online submission form.

Please remove any funding-related text from the manuscript and let us know how you would like to update your Funding Statement. Currently, your Funding Statement reads as follows:

“The funder, Pfizer Japan Inc., provided support in the form of salaries for authors [TK, KT, RY, and MI]. The medical writing support and data analytics support was also funded by Pfizer Japan Inc. (Tokyo, Japan). The funders had no additional role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The specific roles of these authors are articulated in the ‘author contributions’ section.”

Please include your amended statements within your cover letter; we will change the online submission form on your behalf.

Response

Thank you for your suggestion. We have removed funding information from the ‘Acknowledgement section’ and revised it as below:

“Medical writing support was provided by Niraj Vyas, PhD and Sonali Dalwadi, PhD, CMPP™ of MedPro Clinical Research. The authors sincerely thank Takumi Tajima and Yoshimitsu Takamatsu from JMDC Inc. for conducting the analysis.” (Page 23 of the tracked version of the revised manuscript file)

Funding for the medical writing support and the data analytics support is already mentioned in the current funding statement: “The funder, Pfizer Japan Inc., provided support in the form of salaries for authors [TK, KT, RY, and MI]. The medical writing support and data analytics support was also funded by Pfizer Japan Inc. (Tokyo, Japan). The funders had no additional role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The specific roles of these authors are articulated in the ‘author contributions’ section.” Therefore, we confirm that no amendment is required in the current ‘Funding statement’.

We have also included theses information in the revision cover letter.

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3. We note that you have indicated that there are restrictions to data sharing for this study. For studies involving human research participant data or other sensitive data, we encourage authors to share de-identified or anonymized data. However, when data cannot be publicly shared for ethical reasons, we allow authors to make their data sets available upon request. For information on unacceptable data access restrictions, please see http://journals.plos.org/plosone/s/data-availability#loc-unacceptable-data-access-restrictions

Before we proceed with your manuscript, please address the following prompts:

a) If there are ethical or legal restrictions on sharing a de-identified data set, please explain them in detail (e.g., data contain potentially identifying or sensitive patient information, data are owned by a third-party organization, etc.) and who has imposed them (e.g., a Research Ethics Committee or Institutional Review Board, etc.). Please also provide contact information for a data access committee, ethics committee, or other institutional body to which data requests may be sent.

b) If there are no restrictions, please upload the minimal anonymized data set necessary to replicate your study findings to a stable, public repository and provide us with the relevant URLs, DOIs, or accession numbers. Please see http://www.bmj.com/content/340/bmj.c181.long for guidelines on how to de-identify and prepare clinical data for publication. For a list of recommended repositories, please see https://journals.plos.org/plosone/s/recommended-repositories. You also have the option of uploading the data as Supporting Information files, but we would recommend depositing data directly to a data repository if possible.

Please update your Data Availability statement in the submission form accordingly.

Response

Thank you for your suggestion. We have already added that the datasets used in this study are available to JMDC Claims Database. The access to this dataset, qualified researcher can contact JMDC Claims Database.

We have now updated the ‘Data availability’ statement as below:

“Restrictions apply to the availability of the data that supports the findings of this study due to contractual agreements between JMDC and hospitals. These data are available for purchase from JMDC/JMDC Claims Database (a third-party organization who owns the datasets) and qualified researchers can get access to these datasets by contacting JMDC Claims Database (website: (JP) https://www.jmdc.co.jp/jmdc-claims-database/ (ENG) https://www.jmdc.co.jp/en/jmdc-claims-database/).” (Page 23 of the tracked version of the revised manuscript file)

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4. Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice.

Response

We have updated the reference citation numbers throughout the manuscript and, updated the reference list. We have checked and we confirm that the revised reference list is complete and correct.

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Additional Editor Comments:

The manuscript has some minor concerns to deal with.

[Note: HTML markup is below. Please do not edit.]

-----------------------------------------------------------------

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #2: Yes

Response

Thank you for your appreciating feedback.

-----------------------------------------------------------------

2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

Response

Thank you for your encouraging feedback.

-----------------------------------------------------------------

3. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: No

Reviewer #2: Yes

Response

Thank you for your comment. We have included a revised ‘Data availability statement’ in the manuscript as below.

“Restrictions apply to the availability of the data that supports the findings of this study due to contractual agreements between JMDC and hospitals. These data are available for purchase from JMDC/JMDC Claims Database (a third-party organization who owns the datasets) and qualified researchers can get access to these datasets by contacting JMDC Claims Database (website: (JP) https://www.jmdc.co.jp/jmdc-claims-database/ (ENG) https://www.jmdc.co.jp/en/jmdc-claims-database/).” (Page 23 of the tracked version of the revised manuscript file)

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4. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: Yes

Response

Thank you for your confirmation.

-----------------------------------------------------------------

5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1:

Dear authors,

This retrospective cohort study aimed to describe real-world clinical practices and treatment patterns in Japanese patients with migraine based on medical facilities and physicians’ specialties. Given that migraine is a major contributor to the global burden of neurological disorders, understanding the relationship between physicians' specialties and the medical environment for migraine, as well as the patterns of migraine treatment across different specialties, would help clarify where the unmet medical needs of migraine patients lie.

Please find my comments for a better presentation of this study.

Response

Thank you for your review comments. We have provided point by point responses to all reviewers’ comments below.

Comment 1:

Abstract: In the results section, please mention the F/M ratio and the mean age (SD) of patients.

Response

We appreciate your comment. We have added female/male ratio and mentioned mean (SD) age of patients in the abstract as below:

“Of 231,156 patients with migraine (mean age [SD], 38.8 [11.8] years; females, 65.3%), 81.8% had the first prescription at clinics (CPs), 42.5% underwent imaging tests, 44.4% visited general internal medicine, and 25.9% consulted neurosurgery at initial diagnosis. Imaging tests were carried out at CPs with specialists (59.4%), hospitals (HPs) with specialists (59.1%), HPs (32.9%), and CPs (26.9%) without specialists.” (Page 2 of the tracked version of the revised manuscript file)

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Comment 2:

Introduction: This section is well-written and clearly outlines the objective of the study. However, it is better to mention the diagnostic strategy and different types of migraine.

Response

Thank you for your thoughtful comment. We have added the types of migraine and its diagnosis strategy in the ‘Introduction’ section with description as below:

“Migraine is a high-ranking contributor to the global burden of neurological disorders [1]. It is characterized by a relapsing-remitting pattern of headache of variable frequencies and more common in women than men [2, 3]. There are two major types of migraine: migraine with aura and migraine without aura. The diagnosis is based on the International Classification of Headache Disorders 3rd edition according to the patient’s symptoms and characteristics [4]. Globally, migraine prevalence has been estimated to be 14–15%, and to account for 4.9% of population ill health in terms of years lived with disability [5].” (Page 3 of the tracked version of the revised manuscript file)

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Comment 3:

Results: The results section aligns with the study's aim; however, it would be beneficial to categorize patients based on migraine type, particularly in the characteristics section. How many patients experienced aura during their first presentation?

Response

Thank you for your valuable suggestion. We agree that it is critically important to describe patient characteristics by the type of migraine. In this study, we also examined the type of migraine diagnosed at the index date (the first date of migraine treatment prescription). However, we found that the diagnosis of “migraine, unspecified” accounted for 96.6% of all migraine patients, and only 2.3% and 1.1% were with “migraine without aura,” and “migraine with aura,” respectively. Therefore, we decided to focus our study on the characteristics and treatment patterns of migraine patients, regardless of the type of migraine.

We believe that investigating patients’ characteristics by the type of migraine diagnosed will be a part of future research. We have added this and revised the ‘Discussion’ section as below:

“This study did not present treatment patterns for migraine stratified by severity and type of migraine. Hence, further studies that incorporate the severity of migraine as reported by patients and migraine type, and that examine the association between initial prescriptions and patients’ prognoses are necessary.” (Page 23 of the tracked version of the revised manuscript file)

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Comment 4:

Discussion: You mentioned that preventive treatments were more commonly used in facilities with specialists. It is important to discuss the significance of this finding and the potential side effects of relying solely on acute treatments. Without access to specialists, patients may resort to using more NSAIDs, which can lead to drug-overuse headaches and other side effects which you have mentioned but please discuss more about the importance of preventive strategy.

Response

Thank you for your valuable advice. Based on the suggestion, we have revised the ‘Discussion’ section as below:

“Prescription of preventive drugs was higher for specialists, especially CPs with specialists, followed by HPs with specialists. These characteristics suggest the possibility that patients with more severe migraine are seeing specialists, and that the understanding of preventive treatment is low among nonspecialists: this in turn may affect the quality of life of patients who are not prescribed preventive drugs. In addition, without access to specialists, patients may be more likely to rely on acute treatment drugs, and these patients may be at increased risk of medication-overuse headache since it has been reported that preventive medications can reduce the risk of medication-overuse headache. Therefore, there is a need to raise patients’ awareness of the importance of consulting specialists, and to strengthen medical collaboration between specialists and nonspecialists.” (Page 22 of the tracked version of the revised manuscript file)

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Reviewer #2:

This study provides basic information on migraine diagnosis and treatment in Japan's healthcare system by analyzing a comprehensive claims database covering more tha

Attachment

Submitted filename: 4. Response to Reviewers_22Nov2024.docx

pone.0315610.s005.docx (41.2KB, docx)

Decision Letter 1

Sercan Ergün

28 Nov 2024

Clinical practice for migraine treatment and characteristics of medical facilities and physicians treating migraine: insights from a retrospective cohort study using a Japanese claims database

PONE-D-24-43022R1

Dear Dr. Kitano,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

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Kind regards,

Sercan Ergün

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

Acceptance letter

Sercan Ergün

2 Dec 2024

PONE-D-24-43022R1

PLOS ONE

Dear Dr. Kitano,

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on behalf of

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PLOS ONE

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Table. Migraine treatment pattern by year (2018–2023).

    Subgroups were defined based on the initial diagnosis of migraine for the patients included in the migraine cohort. It is possible that the same patient may visit multiple facilities in the same month, and the total of the subgroups may not match the patient number of migraine cohort. Abbreviations: Anti-CGRP mAbs, anti-calcitonin gene-related peptide monoclonal antibodies; CP, clinic having ≤ 19-bed capacity; HP, hospital having ≥ 20-bed capacity; NSAIDs, nonsteroidal anti-inflammatory drugs.

    (DOCX)

    pone.0315610.s001.docx (309.5KB, docx)
    S2 Table. Treatment for migraine for patients who initiated migraine treatment within the year.

    Subgroups were defined based on the initial diagnosis of migraine for the patients included in the migraine cohort. It is possible that the same patient may visit multiple facilities in the same month, and the total of the subgroups may not match the patient number of migraine cohort. Abbreviations: Anti-CGRP mAbs, anti-calcitonin gene-related peptide monoclonal antibodies; CP, clinic having ≤ 19-bed capacity; HP, hospital having ≥ 20-bed capacity; NSAIDs, nonsteroidal anti-inflammatory drugs.

    (DOCX)

    pone.0315610.s002.docx (309.4KB, docx)
    S3 Table. Treatment prescriptions in migraine cohort and subgroups.

    If >1 class of treatment started on the same day, each class was counted. Subgroups were defined based on the initial diagnosis of migraine for the patients included in the migraine cohort. It is possible that the same patient may visit multiple facilities in the same month, and the total of the subgroups may not match the patient number of migraine cohort. Abbreviations: Anti-CGRP mAbs, anti-calcitonin gene-related peptide monoclonal antibodies; CP, clinic having ≤ 19-bed capacity; HP, hospital having ≥ 20-bed capacity; NSAIDs, non-steroidal anti-inflammatory drugs.

    (DOCX)

    pone.0315610.s003.docx (287.3KB, docx)
    Attachment

    Submitted filename: Comments.docx

    pone.0315610.s004.docx (14.2KB, docx)
    Attachment

    Submitted filename: 4. Response to Reviewers_22Nov2024.docx

    pone.0315610.s005.docx (41.2KB, docx)

    Data Availability Statement

    Restrictions apply to the availability of the data that supports the findings of this study due to contractual agreements between JMDC and hospitals. These data are available for purchase from JMDC/JMDC Claims Database (a third-party organization who owns the datasets) and qualified researchers can get access to these datasets by contacting JMDC Claims Database (website: (JP) https://www.jmdc.co.jp/jmdc-claims-database/ (ENG) https://www.jmdc.co.jp/en/jmdc-claims-database/)”.


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