Skip to main content
Journal of Patient-Reported Outcomes
Download PDF

A real-world analysis of patient-reported outcomes in patients with migraine by preventive treatment eligibility status in the US and Europe

Journal of Patient-Reported Outcomes volume 4, Article number: 53 (2020) Cite this article

Abstract

Background

Migraine has a severe impact on health-related quality of life (HRQoL) affecting physical, emotional, and social aspects of daily living of an individual. Preventive treatment has been demonstrated to improve HRQoL by reducing the frequency of migraine headache days.

Methods

The study used data from 2017 Adelphi Migraine Disease Specific Program, which is a cross-sectional survey of physicians and their consulting patients with migraine in the United States (US) and five European countries (EU [Germany, France, UK, Italy and Spain]). Objectives were to evaluate patient-reported outcome (PRO) measures in the following two subgroups and by region (US and EU): (i) patients who are eligible for migraine preventive treatment (≥4 migraine headache days/month), and (ii) patients who are non-eligible for preventive treatment (< 4 migraine headache days/month). Patient-reported outcome measures that were assessed included the following: Migraine-Specific Quality-of-Life Questionnaire Version 2.1, Migraine Disability Assessment Scale (MIDAS), European Quality of Life-5 Dimensions-5 Levels version, and Work Productivity and Activity Impairment.

Results

In total, 5462 patients (US = 1373; EU = 4089) were included in the study (preventive eligible: US = 584; EU = 1942; preventive non-eligible: US = 789; EU = 2147). In the US and EU, preventive eligible patients were significantly more likely to have worse disability as measured by MIDAS than non-eligible patients; preventive eligible patients also had significantly greater functional impairment, worse health utility, and overall greater work impairment (p < 0.0001). Among patients who were preventive eligible, a larger proportion of patients in the US reported that migraine forced them to reduce the number of hours worked as compared with the EU population (29.0% vs 24.7%).

Conclusion

Patients who were preventive eligible (≥4 migraine headache days/month) demonstrated greater burden of disease across multiple PRO measures; trends were similar across the US and the five EU countries.

Introduction

Migraine is a disabling neurological disease characterized by severe attacks of headache pain lasting 4 to 72 h accompanied by hypersensitivity to light and sound, nausea, vomiting, cognitive and vestibular symptoms [1]. Migraine affects > 10% of the adult population globally and is 2 to 3 times more common in women than in men [2, 3]. The prevalence of migraine is estimated to be 12% in the United States (US) and 15% in Europe (EU) [4,5,6]. The prevalence of migraine peaks during prime working ages (18–55 years old), thereby leading to substantial loss in productivity and high economic burden [7]. People with migraine experience diminished health-related quality of life (HRQoL) with wide-ranging adverse effects on physical, emotional, and social aspects of daily living including family, work, and social relationships [8, 9]. Among people with migraine, several factors contribute to the decline of HRQoL including symptoms of the disease, disease severity, and frequency of migraine attacks [10]. Even moderate migraine attacks can interfere with patients’ normal activities, and the loss of well-being occurs both during and between the migraine attacks [10, 11].

Treatment options include acute treatments at the time of migraine attack, and preventive treatments to reduce the number of migraine attacks. Treatment guidelines provide recommendations on when to initiate preventive treatment. Factors considered while recommending initiation of preventives include frequency of attacks (≥4 migraine headache days /month [preventive eligible]), decreased patient functioning despite acute treatment, issues with current acute treatment (e.g. contraindication, overuse, adverse events), and patient preference [12, 13]. Even though ~ 25% of people with migraine are estimated to be in need of a preventive therapy, notably fewer people with migraine are treated with a preventive drug despite the disabling nature of the disease [5, 14].

Prior research studies have defined subgroups by headache frequency, including chronic migraine (≥15 headaches per month of which 8 are migraine over a 3 month period), high-frequency episodic migraine (8–14 migraine headache days/month) and low-frequency episodic migraine (< 8 migraine headache days/month) [15]. Approximately 50% of patients with migraine are estimated to experience 0 to 3 migraine headache days/month and are typically not considered eligible for preventive treatment [5, 7]. However, preventive treatment is also considered among people with 2 to 3 migraine headache days/month who have moderate to severe impairments [14]. There exists a gap in research specific to the full migraine population, which is considered eligible for preventive treatment. Therefore, the primary objective of this study was to compare multiple patient-reported outcomes (PROs) using real-world data from the US and Europe among patients with migraine who are eligible for preventive treatment and who are not. Outcomes assessed included measures of patient functioning, disability, work productivity, and health utility.

Study objectives

The primary objective of this study was to evaluate PROs related to the burden and impact of migraine within two subgroups, those defined as eligible for migraine preventive treatment (preventive eligible, > 4 migraine headache days/month) versus those defined as non-eligible for migraine preventive treatment (preventive non-eligible, < 4 migraine headache days/month). These were evaluated across the following regions: the US, EU and the total study population (US+EU). PROs included Migraine-Specific Quality of Life Questionnaire version 2.1 (MSQv2.1), Migraine Disability Assessment (MIDAS), European Quality of Life-5 dimensions-5 level version (EQ-5D-5L), and Work Productivity and Activity Impairment (WPAI) scores.

Secondary objectives included descriptive analyses of demographics and clinical characteristics for the two subgroups by region. Clinical characteristics included number of migraine headache days/month, average migraine severity over the last 3 months, presence of comorbidities and proportion of patients reported as being intolerant/refractory to their current preventive medication.

Methods

Study data and time period

This study used existing data from the 2017 Adelphi Migraine Disease Specific Program (DSP), which is a real-world, point-in-time, cross-sectional survey of primary care physicians, neurologists, and their consulting patients with migraine. Detailed information on the methodology used for DSPs has been published previously [16]. Briefly, the DSP consists of data pertaining to treatment practices, symptom prevalence, patient demographics, clinical outcomes, medication utilization, adherence patterns, productivity, and HRQoL. Data were collected from the US and five European countries (EU), including Germany, France, Italy, Spain, and the United Kingdom (UK). This survey was performed in full accordance with the US Health Insurance Portability and Accountability Act 1996, and each participant provided consent for de-identified and aggregated reporting of research findings.

The study data were collected cross-sectionally from August through December 2017. A total number of 152 physicians were recruited in the US (primary care physicians (PCPs):101; neurologists:51), 98 from France (PCPs:54; neurologists:44), 90 from the UK (PCPs:50; neurologists:40), 91 from Germany (PCPs:51; neurologists:40), 92 from Italy (PCPs:51; neurologists:41), and 92 from Spain (PCPs:52; neurologists:40).

Each physician completed a patient record form (PRF) for their next 9 consulting patients with a diagnosis of migraine; patients diagnosed with migraine could be attending the clinic for any reason. Patient demographics, history of diagnoses, details of migraine symptoms (e.g. number of migraine headache days, severity), comorbid conditions, treatment records (acute and preventive), and other disease management data were collected on the PRF. Patients were invited to complete a Patient Self-Completion (PSC) form; the PSC form collected patient-reported information including demographic details, treatment response and satisfaction, and validated PRO measures.

Inclusion criteria for this study were adult patients with migraine (≥ 18 years of age). PROs were specific to patients who completed the PSC form [17]. For the purposes of this research study, the definition of preventive eligibility was solely based on the migraine headache days frequency criteria from the treatment guideline recommendations of American Headache Society [17]. Patients meeting the frequency threshold of ≥4 migraine headache days/month were defined as preventive eligible. Migraine headache days were collected as the number on average, per month, over the last 3 months.

PRO measures

MSQv2.1 is a self-administered health status instrument that measures the impact of migraine (over the last 4 weeks) on patients’ daily functioning. MSQv2.1 specifically addresses the impact of migraine on work or daily activities, relationships with family and friends, leisure time, productivity, concentration, energy, tiredness and feelings. The instrument consists of 14 items addressing three domain scores: Role Function Restrictive (RF-R), Role Function-Preventive (RF-P) and Emotional Function (EF). Raw scores are transformed onto a 0 to 100 scale, with higher scores indicating better daily functioning [18, 19]. The instrument is considered reliable, valid and sensitive to change in frequency of migraine attacks [18, 19].

MIDAS is a validated and reliable instrument that quantifies migraine-related disability over a 3-month period. The instrument consists of five items quantifying the number of days with missed work/school, missed household work, reduced productivity at work/school, reduced productivity in household work, and missed family or social activities. The total number of days for each item are added together to produce a total score with the following defined categories: little or no disability (0–5), mild disability (6–10), moderate disability (11–20), and severe disability (21+) [20,21,22].

EQ-5D is a multi-dimensional, HRQoL instrument that contains two components: a health status profile and a Visual Analog Scale (VAS). The health status profile allows patients to rate their health state on that day within five domains; higher score indicates a better health state as perceived by the patient [23]. In this study, country-specific tariffs were applied to generate health utility index scores, where 1.0 represents perfect health. VAS provides an overall patient rating of health status, with a range from 0 (worst imaginable health state) to 100 (best imaginable health state) [23].

WPAI questionnaire is a validated instrument that consists of four metrics measured over the past 7 days: absenteeism (work time missed), presenteeism (impairment while working), overall work productivity loss (overall work impairment) and impairment in daily activities (activity impairment). Scores are calculated as impairment percentages [24], with higher numbers indicating greater impairment and less productivity and therefore, worse outcomes [24].

Statistical methods

Descriptive summary statistics (proportions for categorical variables and mean with standard deviation for continuous variables) were used to report the results among preventive eligible and preventive non-eligible subgroups. Continuous variables with an approximately normal distribution were compared using two-sample t-test. Continuous variables that were not normal and ordinal were compared using Mann-Whitney test. Categorical variables were compared using a Fischer’s exact test (small cell sample or binary outcome) or a Chi-square test. All statistical tests were performed at a two-sided 5% significance level (p-values < 0.05 was considered statistically significant). No adjustments for multiplicity were made for multiple comparisons. Sample size is less than the size reported in the demographic data due to non-responders or missing data, and no data were imputed (Stata version 15.1 was used to run the analysis).

Results

Patient disposition and demographics

In total, 5462 patients (US = 1373; EU = 4089) were included in the study after applying the eligibility criteria. The number of patients who were identified as preventive eligible and preventive non-eligible were as follows: US: preventive eligible: 584; preventive non-eligible: 789; EU: preventive eligible: 1942; preventive non-eligible: 2147; Total: preventive eligible: 2526; preventive non-eligible: 2936. Majority of patients were female and White (Table 1). Statistically significant differences between patients who were preventive eligible versus preventive non-eligible were observed for the following characteristics: for gender there were more females (US only), more were forced to reduce work hours due to migraine, and migraine severity was greater. Specific comorbidities such as depression and anxiety need to be considered while interpreting potential differences in PROs in both the regions. In both the US and the EU, depression was statistically significantly higher (p < 0.05) in preventive eligible patients compared with preventive non-eligible (Table 1).

Table 1 Baseline demographics and migraine disease characteristics by preventive treatment eligibility status
Full size table

PRO measures

MSQ mean [SD] total scores were statistically significantly lower in patients who were preventive eligible compared with those who were preventive non-eligible, indicating greater functional impairment in this population (US: 67.6 [21.2] vs 78.8 [19.1]; EU: 67.7 [18.6] vs 76.1 [17.4]; Total: 67.7 [19.3)] vs 77.0 [18.0]; p < 0.0001). Individual item scores also demonstrated a similar trend (Fig. 1).

Fig. 1
figure 1

MSQ domain score, mean (SD) in patients with migraine by preventive treatment eligibility status

Full size image

For MIDAS, preventive eligible patients were significantly more likely to have worse disability than non-eligible patients in both the US and EU (p < 0.0001) (Fig. 2). The proportion of preventive eligible patients who were experiencing moderate or severe disability was higher in the EU (26.0% and 14.4%, respectively) compared with the US population (16.3% and 12.2, respectively). Mean scores for individual items of MIDAS are summarized in Table 2.

Fig. 2
figure 2

Migraine disability grade per the MIDAS (%) by preventive treatment eligibility status

Full size image
Table 2 Patient reported migraine disability individual item scores (mean [SD]) by preventive treatment eligibility status
Full size table

EQ-5D-5L scores indicated worse health state and lower health utility among patients who were preventive eligible (Fig. 3 and Fig. 4). Health utility scores (mean [SD]) were significantly lower among patients who were preventive eligible compared with those who were preventive non-eligible in the EU (0.84 [0.17] vs 0.89 [0.16]) and total population (0.85 [0.16] vs 0.89 [0.14]) (p < 0.0001); however, similar scores were observed in the US population (0.85 [0.13] vs 0.90 [0.11]). Mean VAS (mean [SD]) scores were statistically significantly lower among patients who were preventive eligible compared with those who were preventive non-eligible (US: 79.8 [14.7] vs 84.3 [13.0]; EU: 74.8 [15.8] vs 80.2 [15.4]; Total: 76.1 [15.7] vs 81.5 [14.8]; p < 0.0001).

Fig. 3
figure 3

EQ-5D VAS score in patients with migraine by preventive treatment eligibility status

Full size image
Fig. 4
figure 4

EQ-5D-5L utility score in patients with migraine by preventive treatment eligibility status

Full size image

Mean percentage of overall work impairment due to migraine was statistically significantly higher among patients who were preventive eligible compared with those who were preventive non-eligible across the regions (US: 40.3% vs 22.7%; EU: 39.7% vs 23.4%; Total: 39.9% vs 23.1%, respectively; p < 0.0001). Similar trends were observed for other WPAI scores including percentage of work time missed, impairment while working and activity impairment, due to migraine (Fig. 5).

Fig. 5
figure 5

WPAI score (%) in patients with migraine by preventive treatment eligibility status

Full size image

Discussion

The current study findings suggest that, across the US and EU, trends are consistent with greater patient burden due to migraine among preventive eligible patients (defined as > 4 migraine headache days/month) compared with those who are preventive non-eligible (defined as < 4 migraine headache days/month). MSQ scores indicated greater functional impairment with domain and total scores being statistically significantly lower among preventive eligible compared with non-eligible patients. Similarly, preventive eligible patients were significantly more likely to have worse disability than non-eligible patients, as per the MIDAS scores. EQ-5D-5L scores reflected worse health status per VAS ratings, and lower health utility among patients who were preventive eligible versus those who were not. Furthermore, mean percentage of overall work impairment due to migraine was statistically significantly higher among patients who were preventive eligible as compared with those who are non-eligible.

The contributions of this study are important, as previously published literature has majorly focused on the burden of episodic migraine versus chronic migraine [25, 26]; however, the current study specifically addressed the migraine population that would be considered eligible for preventive treatment based on the treatment guidelines [12, 13]. This research contributes a deeper clinical understanding of the patient population that needs to be considered for preventive treatment as compared with the population for whom only acute migraine treatment is appropriate. This is a key factor considered by health care providers and healthcare policy makers in decision-making.

Previous studies have addressed HRQoL measures associated with migraine across multiple countries [27]. The Eurolight study conducted across multiple European countries showed that migraine has a significant impact on personal relationships, work, household, and social activities of individuals [28]. The American Migraine Prevalence and Prevention study, and other international studies have also shown that burden of migraine increases with frequency of migraine attacks [25, 29]. Our study focused on patient functioning and migraine-related disability in the US and EU. Our study results are consistent with the Eurolight study, with significant impact of migraine on relationships and missed work, as per MSQ and WPAI scores. The results suggest that greater proportion of patients who were preventive eligible have higher levels of disability ranging from moderate to very severe (MIDAS) and lower functioning (MSQ) compared with preventive non-eligible patients. This demonstrates that headache-related disability increases with increase in frequency of migraine headache days/month across both the US and EU. These results are consistent with previously published studies that showed the relationship between greater disability and lower MSQ scores with increase in frequency of migraine headache days (≥15 migraine headache days/month) [25, 26]. Similar association was observed among patients with migraine with ≤3 migraine headache days/month versus patients in higher frequency subgroups (4–14 migraine headache days/month) in the U.S [7].

In relation to work productivity, this study demonstrated significantly higher levels of impairment (~ 2-fold increase in overall work impairment) in patients who were preventive eligible compared with preventive non-eligible patients. Previous studies have demonstrated reduced work productivity with greater headache frequencies [27, 28]. In addition, the present study showed lower health utility scores, and health status ratings in the higher frequency subgroup (> 4 migraine headache days/month), which is consistent with previous studies [30].

Strengths/limitations

The strengths of this study included that data were collected in real-world settings across multiple countries via the same methodology enabling cross-country comparisons. All patients had a physician confirmed diagnosis of migraine, and both health-care provider reported data and PROs were collected. Limitations include that study participation was optional introducing the potential for selection bias, where non-participating sites and respective patients may have differed from those represented in this study. Specifically, physicians who were approached to participate in this study routinely see a large volume of patients and are experienced with treating migraine and were more likely to be from urban areas. Patient participant rates for the PSC form were 49% and the characteristics of participants versus non-participants were similar; notable differences were that participants had been diagnosed with migraine for a longer duration, were relatively less likely to be eligible for preventive treatment, and relatively more likely to receive prescription treatment. The sample is representative of the consulting population of patients with migraine; however, the results may not be generalizable to the wider migraine population such as those in rural areas and who are undiagnosed or have less severe illness. In addition, for the purpose of this study, patients with 2 to 3 migraine headache days/month were considered as preventive non-eligible. If degree of impairment is considered in addition to frequency, a subset of these patients (< 25%) would have met preventive eligibility status per MIDAS criteria for moderate to severe disability. Another limitation is the cross-sectional design of the study; causality cannot be prospectively assessed and there is a potential for recall bias. Furthermore, the objectives and results of this study are descriptive in nature with unadjusted analyses; therefore, the findings may alter when adjusting for demographic imbalances between the groups. Notably, observed differences between the two subgroups included the percentage of patients with depression or anxiety, and sex (US only); these may have contributed to observed differences in PROs. However, this study was designed to specifically reflect real-world patient outcomes in clinical settings without controlling for other variables. This research does address important research questions specific to patients who are considered eligible for preventive migraine treatment, with an evaluation across multiple PROs and geographies.

Conclusion

In conclusion, among patients with migraine who are considered eligible for preventive treatment, there is a high unmet need as consistently demonstrated by various HRQoL measures, with similar trends across multiple countries (US and EU). Among these patients who are considered preventive eligible per treatment guidelines, initiating a preventive treatment may lead to substantial improvements in migraine headache days, and has the potential to decrease the burden of illness associated with migraine.

Availability of data and materials

The data that support the findings of this study are available from Adelphi Real World, but restrictions apply to the availability of these data, which were used under license for the current study and so are not publicly available. However, data are available from the authors upon reasonable request and with permission from Adelphi Real World.

Abbreviations

DSP:

Disease-specific program

EQ-5D-5L:

European Quality of Life-5 Dimension-5 Level

EF:

Emotional Function

EU:

European Union

HRQoL:

Health-related quality of life

MIDAS:

Migraine Disability Assessment Scale

MSQ:

Migraine-Specific Quality-of-Life Questionnaire

PCPs:

Primary care physicians

PRF:

Patient record form

PROs:

Patient-reported outcomes

PSC:

Patient self-completion form

RF-P:

Role Function Preventive

RF-R:

Role Function Restrictive

SD:

Standard deviation

UK:

United Kingdom

US:

United States

VAS:

Visual Analog Scale

WPAI:

Work Productivity and Activity Impairment

References

  1. Headache Classification Committee of the International Headache Society. (2018). The international classification of headache disorders, 3rd edition. Cephalalgia, 38(1), 1–211.

    Article  Google Scholar 

  2. Burstein, R., Noseda, R., & Borsook, D. (2015). Migraine: Multiple processes, complex pathophysiology. The Journal of Neuroscience, 35(17), 6619–6629. https://doi.org/10.1523/JNEUROSCI.0373-15.2015.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Woldeamanuel, Y. W., & Cowan, R. P. (2017). Migraine affects 1 in 10 people worldwide featuring recent rise: A systematic review and meta-analysis of community-based studies involving 6 million participants. Journal of the Neurological Sciences, 372, 307–315. https://doi.org/10.1016/j.jns.2016.11.071.

    Article  PubMed  Google Scholar 

  4. Headache Classification Committee of the International Headache Society. (2013). The international classification of headache disorders, 3rd edition (beta version). Cephalalgia, 33(9), 629–808. https://doi.org/10.1177/0333102413485658.

    Article  Google Scholar 

  5. Lipton, R. B., Bigal, M. E., Diamond, M., Freitag, F., Reed, M. L., & Stewart, W. F. (2007). Migraine prevalence, disease burden, and the need for preventive therapy. Neurology, 68(5), 343–349. https://doi.org/10.1212/01.wnl.0000252808.97649.21.

    Article  CAS  PubMed  Google Scholar 

  6. Stovner, L. J., & Andree, C. (2010). Prevalence of headache in Europe: A review for the Eurolight project. The Journal of Headache and Pain, 11(4), 289–299. https://doi.org/10.1007/s10194-010-0217-0.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Ford, J. H., Jackson, J., Milligan, G., Cotton, S., Ahl, J., & Aurora, S. K. (2017). A real-world analysis of migraine: A cross-sectional study of disease burden and treatment patterns. Headache, 57(10), 1532–1544. https://doi.org/10.1111/head.13202.

    Article  PubMed  Google Scholar 

  8. D'Amico, D., Leonardi, M., Grazzi, L., Curone, M., & Raggi, A. (2015). Disability and quality of life in patients with different forms of migraine. The Journal of Headache and Pain, 16(Suppl 1), A4. https://doi.org/10.1186/1129-2377-16-S1-A4.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Abu Bakar, N., Tanprawate, S., Lambru, G., Torkamani, M., Jahanshahi, M., & Matharu, M. (2016). Quality of life in primary headache disorders: A review. Cephalalgia, 36(1), 67–91. https://doi.org/10.1177/0333102415580099.

    Article  PubMed  Google Scholar 

  10. Chaushev, N., & Milanov, I. (2009). Impact of migraine and migraine treatment on patient's capacity to work and quality of life. Journal of Clinical Medicine, 2(3), 26–31.

    Google Scholar 

  11. Lampl, C., Thomas, H., Stovner, L. J., Tassorelli, C., Katsarava, Z., Laínez, J. M., Lantéri-Minet, M., Rastenyte, D., Ruiz de la Torre, E., Andrée, C., & Steiner, T. J. (2016). Interictal burden attributable to episodic headache: Findings from the Eurolight project. The Journal of Headache and Pain, 17, 9. https://doi.org/10.1186/s10194-016-0599-8.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Evers, S., Afra, J., Frese, A., Goadsby, P. J., Linde, M., May, A., Sándor, P. S., & European Federation of Neurological Societies. (2009). EFNS guideline on the drug treatment of migraine--revised report of an EFNS task force. European Journal of Neurology, 16(9), 968–981. https://doi.org/10.1111/j.1468-1331.2009.02748.x.

    Article  CAS  PubMed  Google Scholar 

  13. Loder, E. W., & Rizzoli, P. (2011). Tolerance and loss of beneficial effect during migraine prophylaxis: Clinical considerations. Headache, 51(8), 1336–1345. https://doi.org/10.1111/j.1526-4610.2011.01986.x.

    Article  PubMed  Google Scholar 

  14. Rizzoli, P. (2014). Preventive pharmacotherapy in migraine. Headache, 54(2), 364–369. https://doi.org/10.1111/head.12273.

    Article  PubMed  Google Scholar 

  15. Katsarava, Z., Manack, A., Yoon, M. S., Obermann, M., Becker, H., Dommes, P., Turkel, C., Litpon, R. B., & Diener, H. C. (2011). Chronic migraine: Classification and comparisons. Cephalalgia, 31(5), 520–529. https://doi.org/10.1177/0333102410383590.

    Article  CAS  PubMed  Google Scholar 

  16. Anderson, P., Benford, M., Harris, N., Karavali, M., & Piercy, J. (2008). Real-world physician and patient behaviour across countries: Disease-specific Programmes - a means to understand. Current Medical Research and Opinion, 24(11), 3063–3072. https://doi.org/10.1185/03007990802457040.

    Article  CAS  PubMed  Google Scholar 

  17. American Headache Society. (2019). The American headache society position statement on integrating new migraine treatments into clinical practice. Headache, 59(1), 1–18. https://doi.org/10.1111/head.13456.

    Article  Google Scholar 

  18. Jhingran, P., Davis, S. M., LaVange, L. M., Miller, D. W., & Helms, R. W. (1998). MSQ: Migraine-specific quality-of-life questionnaire. Further investigation of the factor structure. Pharmacoeconomics, 13(6), 707–717. https://doi.org/10.2165/00019053-199813060-00007.

    Article  CAS  PubMed  Google Scholar 

  19. Rendas-Baum, R., Bloudek, L. M., Maglinte, G. A., & Varon, S. F. (2013). The psychometric properties of the migraine-specific quality of life questionnaire version 2.1 (MSQ) in chronic migraine patients. Quality of Life Research, 22(5), 1123–1133. https://doi.org/10.1007/s11136-012-0230-7.

    Article  PubMed  Google Scholar 

  20. Stewart, W. F., et al. (2001). Development and testing of the migraine disability assessment (MIDAS) questionnaire to assess headache-related disability. Neurology, 56(6 Suppl 1), S20–S28. https://doi.org/10.1212/wnl.56.suppl_1.s20.

    Article  CAS  PubMed  Google Scholar 

  21. Stewart, W. F., Lipton, R. B., Kolodner, K., Liberman, J., & Sawyer, J. (1999). Reliability of the migraine disability assessment score in a population-based sample of headache sufferers. Cephalalgia, 19(2), 107–114; discussion 74. https://doi.org/10.1046/j.1468-2982.1999.019002107.x.

    Article  CAS  PubMed  Google Scholar 

  22. Lipton, R. B., Stewart, W. F., Sawyer, J., & Edmeads, J. G. (2001). Clinical utility of an instrument assessing migraine disability: The migraine disability assessment (MIDAS) questionnaire. Headache, 41(9), 854–861.

    Article  CAS  Google Scholar 

  23. Brooks, R. (1996). EuroQol: The current state of play. Health Policy, 37(1), 53–72.

    Article  CAS  Google Scholar 

  24. Reilly, M. C., Zbrozek, A. S., & Dukes, E. M. (1993). The validity and reproducibility of a work productivity and activity impairment instrument. Pharmacoeconomics, 4(5), 353–365. https://doi.org/10.2165/00019053-199304050-00006.

    Article  CAS  PubMed  Google Scholar 

  25. Blumenfeld, A. M., Varon, S. F., Wilcox, T. K., Buse, D. C., Kawata, A. K., Manack, A., Goadsby, P. J., & Lipton, R. B. (2011). Disability, HRQoL and resource use among chronic and episodic migraineurs: Results from the international burden of migraine study (IBMS). Cephalalgia, 31(3), 301–315. https://doi.org/10.1177/0333102410381145.

    Article  CAS  PubMed  Google Scholar 

  26. Buse, D., Manack, A., Serrano, D., Reed, M., Varon, S., Turkel, C., & Lipton, R. (2012). Headache impact of chronic and episodic migraine: Results from the American Migraine Prevalence and Prevention study. Headache, 52(1), 3–17. https://doi.org/10.1111/j.1526-4610.2011.02046.x.

    Article  PubMed  Google Scholar 

  27. Vo, P., Fang, J., Bilitou, A., Laflamme, A. K., & Gupta, S. (2018). Patients’ perspective on the burden of migraine in Europe: A cross-sectional analysis of survey data in France, Germany, Italy, Spain, and the United Kingdom. The Journal of Headache and Pain, 19(1), 82. https://doi.org/10.1186/s10194-018-0907-6.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Steiner, T. J., Stovner, L. J., Katsarava, Z., Lainez, J. M., Lampl, C., Lantéri-Minet, M., Rastenyte, D., Ruiz de la Torre, E., Tassorelli, C., Barré, J., & Andrée, C. (2014). The impact of headache in Europe: Principal results of the Eurolight project. The Journal of Headache and Pain, 15, 31. https://doi.org/10.1186/1129-2377-15-31.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Munakata, J., Hazard, E., Serrano, D., Klingman, D., Rupnow, M. F., Tierce, J., Reed, M., & Lipton, R. B. (2009). Economic burden of transformed migraine: Results from the American Migraine Prevalence and Prevention (AMPP) study. Headache, 49(4), 498–508. https://doi.org/10.1111/j.1526-4610.2009.01369.x.

    Article  PubMed  Google Scholar 

  30. Desai, P. R., Ahuja, A., Pietri, G., & Sapra, S. (2015). Systematic literature review of health state utility values in patients with migraine. Value in Health, 18(7), A760. https://doi.org/10.1016/j.jval.2015.09.2483.

    Article  Google Scholar 

Download references

Acknowledgments

Sreelatha Akkala, an employee of Eli Lilly Services India Private Limited, Bengaluru, India, provided writing assistance.

Funding

This study was sponsored by Eli Lilly and Company, Indianapolis, IN, USA.

Author information

Authors and Affiliations

  1. Eli Lilly and Company, 893 S. Delaware Street, Indianapolis, IN, 46225, USA

    Janet H. Ford, Shonda A. Foster, Russell M. Nichols & Wenyu Ye

  2. Eli Lilly and Company, Erl Wood Manor, UK

    Antje Tockhorn-Heidenreich

  3. Adelphi Real World, Bollington, UK

    James Jackson & Sarah Cotton

Authors
  1. Janet H. Ford
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Shonda A. Foster
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Russell M. Nichols
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Antje Tockhorn-Heidenreich
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Wenyu Ye
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. James Jackson
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Sarah Cotton
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

JF: study concept, design, analysis, interpretation of data and drafting manuscript; SAF: interpretation of data, critical revision of manuscript for intellectual content; RMN: interpretation of data, critical revision of manuscript for intellectual content; ATH: data interpretation, critical revision of manuscript for intellectual content; WY: data analysis and interpretation, critical revision of manuscript for intellectual content; JJ: acquisition of data, analysis, critical revision of manuscript for intellectual content; SC: acquisition of data, analysis, critical revision of manuscript for intellectual content. The author(s) read and approved the final manuscript.

Corresponding author

Correspondence to Janet H. Ford.

Ethics declarations

Ethics approval and consent to participate

This study was performed in full accordance with the US Health Insurance Portability and Accountability Act 1996, and each participant provided consent for de-identified and aggregated reporting of research findings.

Consent for publication

Not applicable.

Competing interests

This work was supported by Eli Lilly and Company, Indianapolis, Indiana, USA and Adelphi Mill, Bollington, UK. Ford JH, Foster SA, Nichols RM, Tockhorn-Heidenreich A, Wenyu Ye are full-time employees of Eli Lilly and Company and/or one of its subsidiaries and may hold company stocks. Cotton S and Jackson J are employees of Adelphi Real World who received funding from Eli Lilly for this study.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

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/.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Ford, J.H., Foster, S.A., Nichols, R.M. et al. A real-world analysis of patient-reported outcomes in patients with migraine by preventive treatment eligibility status in the US and Europe. J Patient Rep Outcomes 4, 53 (2020). https://doi.org/10.1186/s41687-020-00221-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s41687-020-00221-w

Keywords

  • Migraine
  • Patient-reported outcomes
  • Preventive eligibility
  • Burden of disease