Abstract

1. Purpose: The primary aim of this study is to explore the trajectories of monthly headache days (MHDs) among patients with migraine over a three-month period following preventive treatment. The secondary aim is to identify key factors that influence these trajectories, providing insights for effective nursing interventions that emphasize health promotion and chronic disease prevention to alleviate the chronic burden of migraine.

2. Methods: A prospective cohort study was conducted at a neurology outpatient clinic in Taiwan, involving 132 migraine patients, of whom 116 completed the 3-month follow-up. Nursing assessments included evaluations of personality traits, sleep quality, anxiety, depression, and stress levels. Migraine headache days (MHDs) were documented using a headache diary. Group-Based Trajectory Modeling (GBTM) was employed to identify patient groups, and multinomial logistic regression was utilized to determine the influencing factors.

3. Results: Three trajectory groups were identified: well-controlled, gradually improving, and treatment-resistant. Factors associated with poorer outcomes included pre-treatment daily headaches (OR = 13.73, p = 0.001), being female (OR = 42.68, p = 0.009), and being aged 40-49 (OR = 64.01, p = 0.013). Conversely, protective factors included unemployment or retirement (OR = 0.08, p = 0.020) and caffeine consumption (OR = 0.12, p = 0.023). The model demonstrated a predictive power of 71.54%. Furthermore, significant differences were observed in sleep quality, psychological health status, and stress levels among the groups three months after the initiation of preventive medication treatment. Notably, the change in anxiety levels between the treatment-resistant group and the other two groups also exhibited significant differences (p < 0.05).

4. Conclusions: Understanding the trajectories of headaches and the factors that influence them in migraine patients is essential for developing tailored nursing interventions. By identifying distinct patient groups, this study emphasizes the necessity for targeted non-pharmacological approaches, such as sleep and anxiety management, to enhance care outcomes and support individualized care plans.

Notes

References:

Duan, S., Ren, Z., Xia, H., Wang, Z., Zheng, T., Li, G., Liu, L., & Liu, Z. (2023). Associations between anxiety, depression with migraine, and migraine-related burdens. Frontiers in Neurology, 14, 1090878. https://doi.org/10.3389/fneur.2023.1090878

Ferrari, M. D., Goadsby, P. J., Burstein, R., Kurth, T., Ayata, C., Charles, A., Ashina, M., van den Maagdenberg, A., & Dodick, D. W. (2022). Migraine. Nature Reviews Disease Primers, 8(1), 2. https://doi.org/10.1038/s41572-021-00328-4

Lipton, R. B., Buse, D. C., Nahas, S. J., Tietjen, G. E., Martin, V. T., Löf, E., Brevig, T., Cady, R., & Diener, H. C. (2023). Risk factors for migraine disease progression: A narrative review for a patient-centered approach. Journal of Neurology, 270(12), 5692-5710. https://doi.org/10.1007/s00415-023-11880-2

Nagin, D. S., Jones, B. L., & Elmer, J. (2024). Recent advances in group-based trajectory modeling for clinical research. Annual Review of Clinical Psychology, 20(1), 285–305. https://doi.org/10.1146/annurev-clinpsy-081122-012416

Juhasz, G., Gecse, K., & Baksa, D. (2023). Towards precision medicine in migraine: Recent therapeutic advances and potential biomarkers to understand heterogeneity and treatment response. Pharmacology and Therapeutics, 250, 108523. https://doi.org/10.1016/j.pharmthera.2023.108523

Description

This study examined the trajectories of monthly headache days in migraine patients following three months of preventive treatment, identifying three distinct groups: well-controlled, gradually improving, and treatment-resistant. Key factors influencing these trajectories included pre-treatment daily headaches, female, and older age. Understanding these patterns is essential for developing targeted nursing interventions. Future research should refine these interventions to enhance outcomes.

Author Details

Ming Jung Tsai, Master's prepared nurse; Yen-Feng Wang, PhD; Shuu-Jiun Wang, PhD; Yu-Chi Chen, PhD

Sigma Membership

Non-member

Type

Presentation

Format Type

Text-based Document

Study Design/Type

Cohort

Research Approach

Other

Keywords:

Primary Care, Implementation Science, Migraines, Migraine Prevention

Conference Name

36th International Nursing Research Congress

Conference Host

Sigma Theta Tau International

Conference Location

Seattle, Washington, USA

Conference Year

2025

Rights Holder

All rights reserved by the author(s) and/or publisher(s) listed in this item record unless relinquished in whole or part by a rights notation or a Creative Commons License present in this item record.

Review Type

Abstract Review Only: Reviewed by Event Host

Acquisition

Proxy-submission

Click on the above link to access the slide deck.

Share

COinS
 

Three-Month Trajectories and Key Factors of Preventive Treatment Efficacy in Patients with Migraine

Seattle, Washington, USA

1. Purpose: The primary aim of this study is to explore the trajectories of monthly headache days (MHDs) among patients with migraine over a three-month period following preventive treatment. The secondary aim is to identify key factors that influence these trajectories, providing insights for effective nursing interventions that emphasize health promotion and chronic disease prevention to alleviate the chronic burden of migraine.

2. Methods: A prospective cohort study was conducted at a neurology outpatient clinic in Taiwan, involving 132 migraine patients, of whom 116 completed the 3-month follow-up. Nursing assessments included evaluations of personality traits, sleep quality, anxiety, depression, and stress levels. Migraine headache days (MHDs) were documented using a headache diary. Group-Based Trajectory Modeling (GBTM) was employed to identify patient groups, and multinomial logistic regression was utilized to determine the influencing factors.

3. Results: Three trajectory groups were identified: well-controlled, gradually improving, and treatment-resistant. Factors associated with poorer outcomes included pre-treatment daily headaches (OR = 13.73, p = 0.001), being female (OR = 42.68, p = 0.009), and being aged 40-49 (OR = 64.01, p = 0.013). Conversely, protective factors included unemployment or retirement (OR = 0.08, p = 0.020) and caffeine consumption (OR = 0.12, p = 0.023). The model demonstrated a predictive power of 71.54%. Furthermore, significant differences were observed in sleep quality, psychological health status, and stress levels among the groups three months after the initiation of preventive medication treatment. Notably, the change in anxiety levels between the treatment-resistant group and the other two groups also exhibited significant differences (p < 0.05).

4. Conclusions: Understanding the trajectories of headaches and the factors that influence them in migraine patients is essential for developing tailored nursing interventions. By identifying distinct patient groups, this study emphasizes the necessity for targeted non-pharmacological approaches, such as sleep and anxiety management, to enhance care outcomes and support individualized care plans.